fumiyau/python_no_comments_test100000 · Datasets at Hugging Face

f7fc06120d52ce24c4ce610cad11f9729641c001

388

py

Python

tests/test_cardsdsl.py

AGeekInside/cardsdsl

b465aa12f681000c524e0fd6c63baaad71bab222

[ "MIT" ]

null

tests/test_cardsdsl.py

AGeekInside/cardsdsl

b465aa12f681000c524e0fd6c63baaad71bab222

[ "MIT" ]

null

tests/test_cardsdsl.py

AGeekInside/cardsdsl

b465aa12f681000c524e0fd6c63baaad71bab222

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_cardsdsl ---------------------------------- Tests for `cardsdsl` module. """ import unittest from cardsdsl import cardsdsl class TestCardsdsl(unittest.TestCase): def setUp(self): pass def test_something(self): pass def tearDown(self): pass if __name__ == '__main__': unittest.main()

13.37931

38

0.574742

import unittest from cardsdsl import cardsdsl class TestCardsdsl(unittest.TestCase): def setUp(self): pass def test_something(self): pass def tearDown(self): pass if __name__ == '__main__': unittest.main()

true

f7fc06313a94e99d8e7972b873a06f2e74292fa0

32,972

py

Python

yt_astro_analysis/halo_analysis/enzofof_merger_tree.py

jzuhone/yt_astro_analysis

417751c41696e7e230d92a918fadda5263c99d56

[ "BSD-3-Clause-Clear" ]

1

2018-12-16T03:07:47.000Z

yt_astro_analysis/halo_analysis/enzofof_merger_tree.py

jzuhone/yt_astro_analysis

417751c41696e7e230d92a918fadda5263c99d56

[ "BSD-3-Clause-Clear" ]

null

yt_astro_analysis/halo_analysis/enzofof_merger_tree.py

jzuhone/yt_astro_analysis

417751c41696e7e230d92a918fadda5263c99d56

[ "BSD-3-Clause-Clear" ]

3

2017-11-21T00:40:20.000Z

2018-10-27T19:33:13.000Z

""" A very simple, purely-serial, merger tree script that knows how to parse FOF catalogs, either output by Enzo or output by yt's FOF halo finder, and then compare parent/child relationships. """ from __future__ import print_function #----------------------------------------------------------------------------- # Copyright (c) 2013, yt Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, distributed with this software. #----------------------------------------------------------------------------- # plot_halo_evolution() gives a good full example of how to use the framework # First pass at a simplified merger tree # # Basic outline: # # 1. Halo find inline, obtaining particle catalogs # 2. Load dataset at time t # 3. Load dataset at time t+1 # 4. Parse catalogs for t and t+1 # 5. Place halos for t+1 in kD-tree # 6. For every halo in t, execute ball-query with some linking length # 7. For every halo in ball-query result, execute numpy's intersect1d on # particle IDs # 8. Parentage is described by a fraction of particles that pass from one to # the other; we have both descendent fractions and ancestory fractions. import numpy as np from yt.utilities.on_demand_imports import _h5py as h5py import glob import os from yt.extern.six.moves import cPickle from yt.extern.pykdtree import KDTree from yt.funcs import mylog, get_pbar import yt.extern.pydot as pydot # We don't currently use this, but we may again find a use for it in the # future. class MaxLengthDict(dict): def __init__(self, *args, **kwargs): dict.__init__(self, *args, **kwargs) self.order = [None] * 50 def __setitem__(self, key, val): if key not in self.order: to_remove = self.order.pop(0) self.pop(to_remove, None) self.order.append(key) dict.__setitem__(self, key, val) def __getitem__(self, key): if key in self.order: self.order.pop(self.order.index(key)) self.order.append(key) return dict.__getitem__(self, key) def __delitem__(self, key): dict.__delitem__(self, key) self.order.pop(self.order.index(key)) self.order.insert(0, None) class HaloCatalog(object): r"""A catalog of halos, parsed from EnzoFOF outputs. This class will read in catalogs output by the Enzo FOF halo finder and make available their positions, radii, etc. Enzo FOF was provided starting with 2.0, and can be run either inline (with the correct options) or as a postprocessing step using the `-F` command line option. This class is mostly useful when calculating a merger tree, and when the particle IDs for members of a given halo are output as well. Parameters ---------- output_id : int This is the integer output id of the halo catalog to parse and load. cache : bool Should we store, in between accesses, the particle IDs? If set to true, the correct particle files must exist. external_FOF : bool, optional Are we building a tree from outputs generated by an external FOF program, or an FOF internal to yt? FOF_directory : str, optional Directory where FOF files are located """ cache = None def __init__(self, output_id, cache = True, external_FOF=True, FOF_directory="FOF"): self.output_id = output_id self.external_FOF = external_FOF self.redshift = 0.0 self.FOF_directory = FOF_directory self.particle_file = h5py.File("%s/particles_%05i.h5" % \ (FOF_directory, output_id), "r") if self.external_FOF: self.parse_halo_catalog_external() else: self.parse_halo_catalog_internal() if cache: self.cache = dict()#MaxLengthDict() def __del__(self): self.particle_file.close() def parse_halo_catalog_external(self): hp = [] for line in open("%s/groups_%05i.dat" % \ (self.FOF_directory, self.output_id)): if line.strip() == "": continue # empty if line.startswith("# Red"): self.redshift = float(line.split("=")[1]) if line[0] == "#": continue # comment if line[0] == "d": continue # datavar x,y,z = [float(f) for f in line.split(None, 3)[:-1]] hp.append([x,y,z]) if hp != []: self.halo_positions = np.array(hp) self.halo_kdtree = KDTree(self.halo_positions) else: self.halo_positions = None self.halo_kdtree = None return hp def parse_halo_catalog_internal(self): """ This parser works on the files output directly out of yt's internal halo_finder. The parse_halo_catalog_external works with an external version of FOF. Examples -------- >>> ds = load("DD0000/DD0000") >>> halo_list = FOFHaloFinder(ds) >>> halo_list.write_out("FOF/groups_00000.txt") >>> halos_COM = parse_halo_catalog_internal() """ hp = [] for line in open("%s/groups_%05i.txt" % \ (self.FOF_directory, self.output_id)): if line.startswith("# RED"): self.redshift = float(line.split("=")[1]) continue if line.strip() == "": continue # empty if line[0] == "#": continue # comment x,y,z = [float(f) for f in line.split()[7:10]] # COM x,y,z hp.append([x,y,z]) if hp != []: self.halo_positions = np.array(hp) self.halo_kdtree = KDTree(self.halo_positions) else: self.halo_positions = None self.halo_kdtree = None return hp def read_particle_ids(self, halo_id): if self.cache is not None: if halo_id not in self.cache: if self.external_FOF: self.cache[halo_id] = \ self.particle_file["/Halo%08i/Particle ID" % halo_id][:] else: self.cache[halo_id] = \ self.particle_file["/Halo%08i/particle_index" % halo_id][:] ids = self.cache[halo_id] else: if self.external_FOF: ids = self.particle_file["/Halo%08i/Particle ID" % halo_id][:] else: ids = self.particle_file["/Halo%08i/particle_index" % halo_id][:] return HaloParticleList(halo_id, self.halo_positions[halo_id,:], ids) def calculate_parentage_fractions(self, other_catalog, radius = 0.10): parentage_fractions = {} if self.halo_positions is None or other_catalog.halo_positions is None: return parentage_fractions mylog.debug("Ball-tree query with radius %0.3e", radius) all_nearest = self.halo_kdtree.query_ball_tree( other_catalog.halo_kdtree, radius) pbar = get_pbar("Halo Mergers", self.halo_positions.shape[0]) for hid1, nearest in enumerate(all_nearest): pbar.update(hid1) parentage_fractions[hid1] = {} HPL1 = self.read_particle_ids(hid1) for hid2 in sorted(nearest): HPL2 = other_catalog.read_particle_ids(hid2) p1, p2 = HPL1.find_relative_parentage(HPL2) parentage_fractions[hid1][hid2] = (p1, p2, HPL2.number_of_particles) parentage_fractions[hid1]["NumberOfParticles"] = HPL1.number_of_particles pbar.finish() return parentage_fractions class HaloParticleList(object): def __init__(self, halo_id, position, particle_ids): self.halo_id = halo_id self.position = np.array(position) self.particle_ids = particle_ids self.number_of_particles = particle_ids.size def find_nearest(self, other_tree, radius = 0.10): return other_tree.query_ball_point(self.position, radius) def find_relative_parentage(self, child): # Return two values: percent this halo gave to the other, and percent # of the other that comes from this halo overlap = np.intersect1d(self.particle_ids, child.particle_ids).size of_child_from_me = float(overlap)/child.particle_ids.size of_mine_from_me = float(overlap)/self.particle_ids.size return of_child_from_me, of_mine_from_me class EnzoFOFMergerBranch(object): def __init__(self, tree, output_num, halo_id, max_children, min_relation=0.25): self.output_num = output_num self.halo_id = halo_id self.npart = tree.relationships[output_num][halo_id]["NumberOfParticles"] self.children = [] self.progenitor = -1 max_relationship = 0.0 halo_count = 0 keys = list(tree.relationships[output_num][halo_id].keys()) keys.remove('NumberOfParticles') for k in sorted(keys): v = tree.relationships[output_num][halo_id][k] if v[1] > min_relation and halo_count < max_children: halo_count += 1 self.children.append((k,v[1],v[2])) if v[1] > max_relationship: self.progenitor = k max_relationship = v[1] class EnzoFOFMergerTree(object): r"""Calculates the parentage relationships for halos for a series of outputs, using the framework provided in enzofof_merger_tree. Parameters ---------- zrange : tuple This is the redshift range (min, max) to calculate the merger tree. E.g. (0, 2) for z=2 to z=0 cycle_range : tuple, optional This is the cycle number range (min, max) to calculate the merger tree. If both zrange and cycle_number given, ignore zrange. output : bool, optional If provided, both .cpkl and .txt files containing the parentage relationships will be output. load_saved : bool, optional Flag to load previously saved parental relationships save_filename : str, optional Filename to save parental relationships external_FOF : bool, optional Are we building a tree from outputs generated by an external FOF program, or an FOF internal to yt? FOF_directory : str, optional Directory where FOF files are located, note that the files must be named according to the syntax: groups_DDDDD.txt for internal yt outputs, and groups_DDDDD.dat for external FOF outputs. where DDDDD are digits representing the equivalent cycle number. e.g. groups_00000.txt Examples -------- >>> mt = EnzoFOFMergerTree() # by default it grabs every DD in FOF dir >>> mt.build_tree(0) # Create tree for halo 0 >>> mt.print_tree() >>> mt.write_dot() See Also -------- plot_halo_evolution() """ def __init__(self, zrange=None, cycle_range=None, output=False, load_saved=False, save_filename="merger_tree.cpkl", external_FOF=True, FOF_directory="FOF"): self.relationships = {} self.redshifts = {} self.external_FOF = external_FOF self.FOF_directory = FOF_directory if load_saved: self.load_tree("%s/%s" % (self.FOF_directory, save_filename)) # make merger tree work within specified cycle/z limits # on preloaded halos if zrange is not None: self.select_redshifts(zrange) if cycle_range is not None: self.select_cycles(cycle_range) else: self.find_outputs(zrange, cycle_range, output) self.run_merger_tree(output) self.save_tree("%s/%s" % (self.FOF_directory, save_filename)) def select_cycles(self, cycle_range): """ Takes an existing tree and pares it to only include a subset of cycles. Useful in paring a loaded tree. """ # N.B. Does not delete info from self.relationships to save space # just removes it from redshift dict for indexing for cycle in self.redshifts.keys(): if cycle <= cycle_range[0] and cycle >= cycle_range[1]: del self.redshifts[cycle] def select_redshifts(self, zrange): """ Takes an existing tree and pares it to only include a subset of redshifts. Useful in paring a loaded tree. """ # N.B. Does not delete info from self.relationships to save space # just removes it from redshift dict for indexing for redshift in self.redshifts.values(): if redshift <= zrange[0] and redshift >= zrange[1]: # some reverse lookup magic--assumes unique cycle/z pairs cycle = [key for key,value in self.redshifts.items() \ if value == redshift][0] del self.redshifts[cycle] def save_tree(self, filename): cPickle.dump((self.redshifts, self.relationships), open(filename, "wb")) def load_tree(self, filename): self.redshifts, self.relationships = \ cPickle.load(open(filename, "rb")) def clear_data(self): r"""Deletes previous merger tree, but keeps parentage relationships. """ del self.levels def find_outputs(self, zrange, cycle_range, output): self.numbers = [] if self.external_FOF: filenames = "%s/groups_*.dat" % (self.FOF_directory) files = glob.glob(filenames) else: filenames = "%s/groups_*.txt" % (self.FOF_directory) files = glob.glob(filenames) # If using redshift range, load redshifts only for f in files: num = int(f[-9:-4]) if zrange is not None: HC = HaloCatalog(num, external_FOF=self.external_FOF, \ FOF_directory=self.FOF_directory) # Allow for some epsilon diff1 = (HC.redshift - zrange[0]) / zrange[0] diff2 = (HC.redshift - zrange[1]) / zrange[1] if diff1 >= -1e-3 and diff2 <= 1e-3: self.numbers.append(num) del HC elif cycle_range is not None: if num >= cycle_range[0] and num <= cycle_range[1]: self.numbers.append(num) else: self.numbers.append(num) self.numbers.sort() def run_merger_tree(self, output): # Run merger tree for all outputs, starting with the last output for i in range(len(self.numbers)-1, 0, -1): if output: output = "%s/tree-%5.5d-%5.5d" % \ (self.FOF_directory, self.numbers[i], self.numbers[i-1]) else: output = None z0, z1, fr = find_halo_relationships(self.numbers[i], \ self.numbers[i-1], \ output_basename=output, \ external_FOF=self.external_FOF, FOF_directory=self.FOF_directory) self.relationships[self.numbers[i]] = fr self.redshifts[self.numbers[i]] = z0 # Fill in last redshift self.redshifts[self.numbers[0]] = z1 def build_tree(self, halonum, min_particles=0, max_children=1e20): r"""Builds a merger tree, starting at the last output. Parameters ---------- halonum : int Halo number in the last output to analyze. min_particles : int, optional Minimum number of particles of halos in tree. max_children : int, optional Maximum number of child halos each leaf can have. """ self.halonum = halonum self.max_children = max_children self.output_numbers = sorted(self.relationships, reverse=True) self.levels = {} trunk = self.output_numbers[0] self.levels[trunk] = [EnzoFOFMergerBranch(self, trunk, halonum, max_children)] self.generate_tree(min_particles, max_children) def filter_small_halos(self, lvl, min_particles): # Filter out children with less than min_particles for h in self.levels[lvl]: fil = [] for c in h.children: if c[2] > min_particles: # c[2] = npart fil.append(c) h.children = fil def generate_tree(self, min_particles, max_children): self.filter_small_halos(self.output_numbers[0], min_particles) for i in range(1,len(self.output_numbers)): prev = self.output_numbers[i-1] this = self.output_numbers[i] self.levels[this] = [] this_halos = [] # To check for duplicates for h in self.levels[prev]: for c in h.children: if c[0] in this_halos: continue if self.relationships[this] == {}: continue branch = EnzoFOFMergerBranch(self, this, c[0], max_children) self.levels[this].append(branch) this_halos.append(c[0]) self.filter_small_halos(this, min_particles) def get_massive_progenitors(self, halonum, min_relation=0.25): r"""Returns a list of the most massive progenitor halos. This routine walks down the tree, following the most massive progenitor on each node. Parameters ---------- halonum : int Halo number at the last output to trace. Returns ------- output : dict Dictionary of redshifts, cycle numbers, and halo numbers of the most massive progenitor. keys = {redshift, cycle, halonum} """ output = {"redshift": [], "cycle": [], "halonum": []} # First (lowest redshift) node in tree halo0 = halonum for cycle in sorted(self.numbers, reverse=True): if cycle not in self.relationships: break if halo0 not in self.relationships[cycle]: break node = self.relationships[cycle][halo0] output["redshift"].append(self.redshifts[cycle]) output["cycle"].append(cycle) output["halonum"].append(halo0) # Find progenitor max_rel = 0.0 for k,v in node.items(): if not str(k).isdigit(): continue if v[1] > max_rel and v[1] > min_relation: halo0 = k max_rel = v[1] return output def print_tree(self): r"""Prints the merger tree to stdout. """ for lvl in sorted(self.levels, reverse=True): if lvl not in self.redshifts: continue print("========== Cycle %5.5d (z=%f) ==========" % \ (lvl, self.redshifts[lvl])) for br in self.levels[lvl]: print("Parent halo = %d" % br.halo_id) print("--> Most massive progenitor == Halo %d" % \ (br.progenitor)) for i,c in enumerate(br.children): if i > self.max_children: break print("--> Halo %8.8d :: fraction = %g" % (c[0], c[1])) def save_halo_evolution(self, filename): """ Saves as an HDF5 file the relevant details about a halo over the course of its evolution following the most massive progenitor to have given it the bulk of its particles. It stores info from the FOF_groups file: location, mass, id, etc. """ f = h5py.File("%s/%s" % (self.FOF_directory, filename), 'a') cycle_fin = sorted(list(self.redshifts.keys()))[-1] halo_id = self.levels[cycle_fin][0].halo_id halo = "halo%05d" % halo_id if halo in f: del f["halo%05d" % halo_id] g = f.create_group("halo%05d" % halo_id) size = len(self.redshifts) cycle = np.zeros(size) redshift = np.zeros(size) halo_id = np.zeros(size) fraction = np.zeros(size) mass = np.zeros(size) densest_point = np.zeros((3,size)) COM = np.zeros((6,size)) fraction[0] = 1. for i, lvl in enumerate(sorted(self.levels, reverse=True)): if len(self.levels[lvl]) == 0: # lineage for this halo ends cycle = cycle[:i] # so truncate arrays, and break redshift = redshift[:i] # Not big enough. halo_id = halo_id[:i] fraction = fraction[:i] mass = mass[:i] densest_point = densest_point[:,:i] COM = COM[:,:i] break if lvl not in self.redshifts: continue mylog.info("========== Cycle %5.5d (z=%f) ==========" % \ (lvl, self.redshifts[lvl])) cycle[i] = lvl redshift[i] = self.redshifts[lvl] br = self.levels[lvl][0] mylog.info("Parent halo = %d" % br.halo_id) mylog.info("-> Most massive progenitor == Halo %d" % (br.progenitor)) halo_id[i] = br.halo_id if len(br.children) == 0: # lineage for this halo ends cycle = cycle[:i+1] # (no children) redshift = redshift[:i+1] # so truncate arrays, and break halo_id = halo_id[:i+1] fraction = fraction[:i+1] mass = mass[:i+1] densest_point = densest_point[:,:i+1] COM = COM[:,:i+1] break if i < size-1: fraction[i+1] = br.children[0][1] # open up FOF file to parse for details filename = "%s/groups_%05d.txt" % (self.FOF_directory, lvl) mass[i], densest_point[:,i], COM[:,i] = \ grab_FOF_halo_info_internal(filename, br.halo_id) # save the arrays in the hdf5 file g.create_dataset("cycle", data=cycle) g.create_dataset("redshift", data=redshift) g.create_dataset("halo_id", data=halo_id) g.create_dataset("fraction", data=fraction) g.create_dataset("mass", data=mass) g.create_dataset("densest_point", data=densest_point) g.create_dataset("COM", data=COM) f.close() def write_dot(self, filename=None): r"""Writes merger tree to a GraphViz or image file. Parameters ---------- filename : str, optional Filename to write the GraphViz file. Default will be tree_halo%05i.gv, which is a text file in the GraphViz format. If filename is an image (e.g. "MergerTree.png") the output will be in the appropriate image format made by calling GraphViz automatically. See GraphViz (e.g. "dot -v") for a list of available output formats. """ if filename is None: filename = "%s/tree_halo%5.5d.gv" % \ (self.FOF_directory, self.halonum) # Create the pydot graph object. self.graph = pydot.Dot('galaxy', graph_type='digraph') self.halo_shape = "rect" self.z_shape = "plaintext" # Subgraphs to align levels self.subgs = {} for num in self.numbers: self.subgs[num] = pydot.Subgraph('', rank = 'same') self.graph.add_subgraph(self.subgs[num]) sorted_lvl = sorted(self.levels, reverse=True) for ii,lvl in enumerate(sorted_lvl): # Since we get the cycle number from the key, it won't # exist for the last level, i.e. children of last level. # Get it from self.numbers. if ii < len(sorted_lvl)-1: next_lvl = sorted_lvl[ii+1] else: next_lvl = self.numbers[0] for br in self.levels[lvl]: for c in br.children: color = "red" if c[0] == br.progenitor else "black" self.graph.add_edge(pydot.Edge("C%d_H%d" %(lvl, br.halo_id), "C%d_H%d" % (next_lvl, c[0]), color=color)) #line = " C%d_H%d -> C%d_H%d [color=%s];\n" % \ # (lvl, br.halo_id, next_lvl, c[0], color) #fp.write(line) for ii,lvl in enumerate(sorted_lvl): npart_max = 0 for br in self.levels[lvl]: if br.npart > npart_max: npart_max = br.npart for br in self.levels[lvl]: halo_str = "C%d_H%d" % (lvl, br.halo_id) style = "filled" if br.npart == npart_max else "solid" self.graph.add_node(pydot.Node(halo_str, label = "Halo %d\\n%d particles" % (br.halo_id, br.npart), style = style, shape = self.halo_shape)) # Add this node to the correct level subgraph. self.subgs[lvl].add_node(pydot.Node(halo_str)) for lvl in self.numbers: # Don't add the z if there are no halos already in the subgraph. if len(self.subgs[lvl].get_node_list()) == 0: continue self.subgs[lvl].add_node(pydot.Node("%1.5e" % self.redshifts[lvl], shape = self.z_shape, label = "z=%0.3f" % self.redshifts[lvl])) # Based on the suffix of the file name, write out the result to a file. suffix = filename.split(".")[-1] if suffix == "gv": suffix = "raw" mylog.info("Writing %s format %s to disk." % (suffix, filename)) self.graph.write("%s" % filename, format=suffix) def find_halo_relationships(output1_id, output2_id, output_basename = None, radius = 0.10, external_FOF=True, FOF_directory='FOF'): r"""Calculate the parentage and child relationships between two EnzoFOF halo catalogs. This function performs a very simple merger tree calculation between two sets of halos. For every halo in the second halo catalog, it looks to the first halo catalog to find the parents by looking at particle IDs. The particle IDs from the child halos are identified in potential parents, and then both percent-of-parent and percent-to-child values are recorded. Note that this works with catalogs constructed by Enzo's FOF halo when used in external_FOF=True mode, whereas it will work with catalogs constructed by yt using external_FOF=False mode. Parameters ---------- output1_id : int This is the integer output id of the (first) halo catalog to parse and load. output2_id : int This is the integer output id of the (second) halo catalog to parse and load. output_basename : string If provided, both .cpkl and .txt files containing the parentage relationships will be output. radius : float, default to 0.10 In absolute units, the radius to examine when guessing possible parent/child relationships. If this value is too small, you will miss possible relationships. FOF_directory : str, optional Directory where FOF files are located Returns ------- pfrac : dict This is a dict of dicts. The first key is the parent halo id, the second is the child halo id. The values are the percent contributed from parent to child and the percent of a child that came from the parent. """ mylog.info("Parsing Halo Catalog %04i", output1_id) HC1 = HaloCatalog(output1_id, False, external_FOF=external_FOF, \ FOF_directory=FOF_directory) mylog.info("Parsing Halo Catalog %04i", output2_id) HC2 = HaloCatalog(output2_id, True, external_FOF=external_FOF, \ FOF_directory=FOF_directory) mylog.info("Calculating fractions") pfrac = HC1.calculate_parentage_fractions(HC2) if output_basename is not None and pfrac != {}: f = open("%s.txt" % (output_basename), "w") for hid1 in sorted(pfrac): for hid2 in sorted(pfrac[hid1]): if not str(hid2).isdigit(): continue p1, p2, npart = pfrac[hid1][hid2] if p1 == 0.0: continue f.write( "Halo %s (%s) contributed %0.3e of its particles to %s (%s), which makes up %0.3e of that halo\n" % ( hid1, output1_id, p2, hid2, output2_id, p1)) f.close() cPickle.dump(pfrac, open("%s.cpkl" % (output_basename), "wb")) return HC1.redshift, HC2.redshift, pfrac def grab_FOF_halo_info_internal(filename, halo_id): """ Finds a specific halo's information in the FOF group output information and pass relevant parameters to caller. """ # open up FOF file to parse for details groups_file = open(filename, 'r') for line in groups_file: if line.startswith("#"): continue if int(line.split()[0]) == halo_id: ar = np.array(line.split()).astype('float64') return ar[1], ar[4:7], ar[7:13] # mass, xyz_dens, xyzvxvyvz_COM def plot_halo_evolution(filename, halo_id, x_quantity='cycle', y_quantity='mass', x_log=False, y_log=True, FOF_directory='FOF'): """ Once you have generated a file using the EnzoFOFMergerTree.save_halo_evolution function, this is a simple way of plotting the evolution in the quantities of that halo over its lifetime. Parameters ---------- filename : str The filename to which you saved the hdf5 data from save_halo_evolution halo_id : int The halo in 'filename' that you want to follow x_quantity : str, optional The quantity that you want to plot as the x_coord. Valid options are: * cycle * mass * fraction * halo_id * redshift * dense_x * dense_y * dense_z * COM_x * COM_y * COM_z * COM_vx * COM_vy * COM_vz y_quantity : str, optional The quantity that you want to plot as the y_coord. x_log : bool, optional Do you want the x-axis to be in log or linear? y_log : bool, optional Do you want the y-axis to be in log or linear? FOF_directory : str, optional Directory where FOF files (and hdf file) are located Examples -------- >>> # generates mass history plots for the 20 most massive halos at t_fin. >>> ts = DatasetSeries.from_filenames("DD????/DD????") >>> # long step--must run FOF on each DD, but saves outputs for later use >>> for ds in ts: ... halo_list = FOFHaloFinder(ds) ... i = int(ds.basename[2:]) ... halo_list.write_out("FOF/groups_%05i.txt" % i) ... halo_list.write_particle_lists("FOF/particles_%05i" % i) ... >>> mt = EnzoFOFMergerTree(external_FOF=False) >>> for i in range(20): ... mt.build_tree(i) ... mt.save_halo_evolution('halos.h5') ... >>> for i in range(20): ... plot_halo_evolution('halos.h5', i) """ import matplotlib.pyplot as plt f = h5py.File("%s/%s" % (FOF_directory, filename), 'r') basename = os.path.splitext(filename)[0] halo = "halo%05d" % halo_id basename = basename + "_" + halo g = f[halo] values = list(g) index_dict = {'x' : 0, 'y' : 1, 'z' : 2, 'vx' : 3, 'vy' : 4, 'vz' : 5} coords = {} fields = {} for i, quantity in enumerate((x_quantity, y_quantity)): field = quantity if quantity.startswith('COM'): index = index_dict[quantity.split('_')[-1]] quantity = ('COM') if quantity.startswith('dense'): index = index_dict[quantity.split('_')[-1]] quantity = ('densest_point') if quantity not in values: exit('%s not in list of values in %s for halo %d' % \ (quantity, filename, halo_id)) if not field == quantity: coords[i] = g[quantity][index,:] else: coords[i] = g[quantity] if len(coords[i]) == 1: # ("Only 1 value for Halo %d. Ignoring." % halo_id) return fields[i] = field ax = plt.axes() ax.plot(coords[0], coords[1]) ax.set_title(basename) ax.set_xlabel(fields[0]) ax.set_ylabel(fields[1]) if x_log: ax.set_xscale("log") if y_log: ax.set_yscale("log") ofn = "%s/%s_%s_%s.png" % (FOF_directory, basename, fields[0], fields[1]) plt.savefig(ofn) plt.clf()

40.908189

126

0.577126

from __future__ import print_function # particle IDs # 8. Parentage is described by a fraction of particles that pass from one to # the other; we have both descendent fractions and ancestory fractions. import numpy as np from yt.utilities.on_demand_imports import _h5py as h5py import glob import os from yt.extern.six.moves import cPickle from yt.extern.pykdtree import KDTree from yt.funcs import mylog, get_pbar import yt.extern.pydot as pydot # We don't currently use this, but we may again find a use for it in the class MaxLengthDict(dict): def __init__(self, *args, **kwargs): dict.__init__(self, *args, **kwargs) self.order = [None] * 50 def __setitem__(self, key, val): if key not in self.order: to_remove = self.order.pop(0) self.pop(to_remove, None) self.order.append(key) dict.__setitem__(self, key, val) def __getitem__(self, key): if key in self.order: self.order.pop(self.order.index(key)) self.order.append(key) return dict.__getitem__(self, key) def __delitem__(self, key): dict.__delitem__(self, key) self.order.pop(self.order.index(key)) self.order.insert(0, None) class HaloCatalog(object): cache = None def __init__(self, output_id, cache = True, external_FOF=True, FOF_directory="FOF"): self.output_id = output_id self.external_FOF = external_FOF self.redshift = 0.0 self.FOF_directory = FOF_directory self.particle_file = h5py.File("%s/particles_%05i.h5" % \ (FOF_directory, output_id), "r") if self.external_FOF: self.parse_halo_catalog_external() else: self.parse_halo_catalog_internal() if cache: self.cache = dict() def __del__(self): self.particle_file.close() def parse_halo_catalog_external(self): hp = [] for line in open("%s/groups_%05i.dat" % \ (self.FOF_directory, self.output_id)): if line.strip() == "": continue if line.startswith("# Red"): self.redshift = float(line.split("=")[1]) if line[0] == "#": continue if line[0] == "d": continue x,y,z = [float(f) for f in line.split(None, 3)[:-1]] hp.append([x,y,z]) if hp != []: self.halo_positions = np.array(hp) self.halo_kdtree = KDTree(self.halo_positions) else: self.halo_positions = None self.halo_kdtree = None return hp def parse_halo_catalog_internal(self): hp = [] for line in open("%s/groups_%05i.txt" % \ (self.FOF_directory, self.output_id)): if line.startswith("# RED"): self.redshift = float(line.split("=")[1]) continue if line.strip() == "": continue if line[0] == "#": continue x,y,z = [float(f) for f in line.split()[7:10]] hp.append([x,y,z]) if hp != []: self.halo_positions = np.array(hp) self.halo_kdtree = KDTree(self.halo_positions) else: self.halo_positions = None self.halo_kdtree = None return hp def read_particle_ids(self, halo_id): if self.cache is not None: if halo_id not in self.cache: if self.external_FOF: self.cache[halo_id] = \ self.particle_file["/Halo%08i/Particle ID" % halo_id][:] else: self.cache[halo_id] = \ self.particle_file["/Halo%08i/particle_index" % halo_id][:] ids = self.cache[halo_id] else: if self.external_FOF: ids = self.particle_file["/Halo%08i/Particle ID" % halo_id][:] else: ids = self.particle_file["/Halo%08i/particle_index" % halo_id][:] return HaloParticleList(halo_id, self.halo_positions[halo_id,:], ids) def calculate_parentage_fractions(self, other_catalog, radius = 0.10): parentage_fractions = {} if self.halo_positions is None or other_catalog.halo_positions is None: return parentage_fractions mylog.debug("Ball-tree query with radius %0.3e", radius) all_nearest = self.halo_kdtree.query_ball_tree( other_catalog.halo_kdtree, radius) pbar = get_pbar("Halo Mergers", self.halo_positions.shape[0]) for hid1, nearest in enumerate(all_nearest): pbar.update(hid1) parentage_fractions[hid1] = {} HPL1 = self.read_particle_ids(hid1) for hid2 in sorted(nearest): HPL2 = other_catalog.read_particle_ids(hid2) p1, p2 = HPL1.find_relative_parentage(HPL2) parentage_fractions[hid1][hid2] = (p1, p2, HPL2.number_of_particles) parentage_fractions[hid1]["NumberOfParticles"] = HPL1.number_of_particles pbar.finish() return parentage_fractions class HaloParticleList(object): def __init__(self, halo_id, position, particle_ids): self.halo_id = halo_id self.position = np.array(position) self.particle_ids = particle_ids self.number_of_particles = particle_ids.size def find_nearest(self, other_tree, radius = 0.10): return other_tree.query_ball_point(self.position, radius) def find_relative_parentage(self, child): overlap = np.intersect1d(self.particle_ids, child.particle_ids).size of_child_from_me = float(overlap)/child.particle_ids.size of_mine_from_me = float(overlap)/self.particle_ids.size return of_child_from_me, of_mine_from_me class EnzoFOFMergerBranch(object): def __init__(self, tree, output_num, halo_id, max_children, min_relation=0.25): self.output_num = output_num self.halo_id = halo_id self.npart = tree.relationships[output_num][halo_id]["NumberOfParticles"] self.children = [] self.progenitor = -1 max_relationship = 0.0 halo_count = 0 keys = list(tree.relationships[output_num][halo_id].keys()) keys.remove('NumberOfParticles') for k in sorted(keys): v = tree.relationships[output_num][halo_id][k] if v[1] > min_relation and halo_count < max_children: halo_count += 1 self.children.append((k,v[1],v[2])) if v[1] > max_relationship: self.progenitor = k max_relationship = v[1] class EnzoFOFMergerTree(object): def __init__(self, zrange=None, cycle_range=None, output=False, load_saved=False, save_filename="merger_tree.cpkl", external_FOF=True, FOF_directory="FOF"): self.relationships = {} self.redshifts = {} self.external_FOF = external_FOF self.FOF_directory = FOF_directory if load_saved: self.load_tree("%s/%s" % (self.FOF_directory, save_filename)) if zrange is not None: self.select_redshifts(zrange) if cycle_range is not None: self.select_cycles(cycle_range) else: self.find_outputs(zrange, cycle_range, output) self.run_merger_tree(output) self.save_tree("%s/%s" % (self.FOF_directory, save_filename)) def select_cycles(self, cycle_range): for cycle in self.redshifts.keys(): if cycle <= cycle_range[0] and cycle >= cycle_range[1]: del self.redshifts[cycle] def select_redshifts(self, zrange): for redshift in self.redshifts.values(): if redshift <= zrange[0] and redshift >= zrange[1]: cycle = [key for key,value in self.redshifts.items() \ if value == redshift][0] del self.redshifts[cycle] def save_tree(self, filename): cPickle.dump((self.redshifts, self.relationships), open(filename, "wb")) def load_tree(self, filename): self.redshifts, self.relationships = \ cPickle.load(open(filename, "rb")) def clear_data(self): del self.levels def find_outputs(self, zrange, cycle_range, output): self.numbers = [] if self.external_FOF: filenames = "%s/groups_*.dat" % (self.FOF_directory) files = glob.glob(filenames) else: filenames = "%s/groups_*.txt" % (self.FOF_directory) files = glob.glob(filenames) for f in files: num = int(f[-9:-4]) if zrange is not None: HC = HaloCatalog(num, external_FOF=self.external_FOF, \ FOF_directory=self.FOF_directory) diff1 = (HC.redshift - zrange[0]) / zrange[0] diff2 = (HC.redshift - zrange[1]) / zrange[1] if diff1 >= -1e-3 and diff2 <= 1e-3: self.numbers.append(num) del HC elif cycle_range is not None: if num >= cycle_range[0] and num <= cycle_range[1]: self.numbers.append(num) else: self.numbers.append(num) self.numbers.sort() def run_merger_tree(self, output): for i in range(len(self.numbers)-1, 0, -1): if output: output = "%s/tree-%5.5d-%5.5d" % \ (self.FOF_directory, self.numbers[i], self.numbers[i-1]) else: output = None z0, z1, fr = find_halo_relationships(self.numbers[i], \ self.numbers[i-1], \ output_basename=output, \ external_FOF=self.external_FOF, FOF_directory=self.FOF_directory) self.relationships[self.numbers[i]] = fr self.redshifts[self.numbers[i]] = z0 self.redshifts[self.numbers[0]] = z1 def build_tree(self, halonum, min_particles=0, max_children=1e20): self.halonum = halonum self.max_children = max_children self.output_numbers = sorted(self.relationships, reverse=True) self.levels = {} trunk = self.output_numbers[0] self.levels[trunk] = [EnzoFOFMergerBranch(self, trunk, halonum, max_children)] self.generate_tree(min_particles, max_children) def filter_small_halos(self, lvl, min_particles): for h in self.levels[lvl]: fil = [] for c in h.children: if c[2] > min_particles: fil.append(c) h.children = fil def generate_tree(self, min_particles, max_children): self.filter_small_halos(self.output_numbers[0], min_particles) for i in range(1,len(self.output_numbers)): prev = self.output_numbers[i-1] this = self.output_numbers[i] self.levels[this] = [] this_halos = [] for h in self.levels[prev]: for c in h.children: if c[0] in this_halos: continue if self.relationships[this] == {}: continue branch = EnzoFOFMergerBranch(self, this, c[0], max_children) self.levels[this].append(branch) this_halos.append(c[0]) self.filter_small_halos(this, min_particles) def get_massive_progenitors(self, halonum, min_relation=0.25): output = {"redshift": [], "cycle": [], "halonum": []} halo0 = halonum for cycle in sorted(self.numbers, reverse=True): if cycle not in self.relationships: break if halo0 not in self.relationships[cycle]: break node = self.relationships[cycle][halo0] output["redshift"].append(self.redshifts[cycle]) output["cycle"].append(cycle) output["halonum"].append(halo0) max_rel = 0.0 for k,v in node.items(): if not str(k).isdigit(): continue if v[1] > max_rel and v[1] > min_relation: halo0 = k max_rel = v[1] return output def print_tree(self): for lvl in sorted(self.levels, reverse=True): if lvl not in self.redshifts: continue print("========== Cycle %5.5d (z=%f) ==========" % \ (lvl, self.redshifts[lvl])) for br in self.levels[lvl]: print("Parent halo = %d" % br.halo_id) print("--> Most massive progenitor == Halo %d" % \ (br.progenitor)) for i,c in enumerate(br.children): if i > self.max_children: break print("--> Halo %8.8d :: fraction = %g" % (c[0], c[1])) def save_halo_evolution(self, filename): f = h5py.File("%s/%s" % (self.FOF_directory, filename), 'a') cycle_fin = sorted(list(self.redshifts.keys()))[-1] halo_id = self.levels[cycle_fin][0].halo_id halo = "halo%05d" % halo_id if halo in f: del f["halo%05d" % halo_id] g = f.create_group("halo%05d" % halo_id) size = len(self.redshifts) cycle = np.zeros(size) redshift = np.zeros(size) halo_id = np.zeros(size) fraction = np.zeros(size) mass = np.zeros(size) densest_point = np.zeros((3,size)) COM = np.zeros((6,size)) fraction[0] = 1. for i, lvl in enumerate(sorted(self.levels, reverse=True)): if len(self.levels[lvl]) == 0: cycle = cycle[:i] redshift = redshift[:i] halo_id = halo_id[:i] fraction = fraction[:i] mass = mass[:i] densest_point = densest_point[:,:i] COM = COM[:,:i] break if lvl not in self.redshifts: continue mylog.info("========== Cycle %5.5d (z=%f) ==========" % \ (lvl, self.redshifts[lvl])) cycle[i] = lvl redshift[i] = self.redshifts[lvl] br = self.levels[lvl][0] mylog.info("Parent halo = %d" % br.halo_id) mylog.info("-> Most massive progenitor == Halo %d" % (br.progenitor)) halo_id[i] = br.halo_id if len(br.children) == 0: cycle = cycle[:i+1] redshift = redshift[:i+1] halo_id = halo_id[:i+1] fraction = fraction[:i+1] mass = mass[:i+1] densest_point = densest_point[:,:i+1] COM = COM[:,:i+1] break if i < size-1: fraction[i+1] = br.children[0][1] filename = "%s/groups_%05d.txt" % (self.FOF_directory, lvl) mass[i], densest_point[:,i], COM[:,i] = \ grab_FOF_halo_info_internal(filename, br.halo_id) g.create_dataset("cycle", data=cycle) g.create_dataset("redshift", data=redshift) g.create_dataset("halo_id", data=halo_id) g.create_dataset("fraction", data=fraction) g.create_dataset("mass", data=mass) g.create_dataset("densest_point", data=densest_point) g.create_dataset("COM", data=COM) f.close() def write_dot(self, filename=None): if filename is None: filename = "%s/tree_halo%5.5d.gv" % \ (self.FOF_directory, self.halonum) self.graph = pydot.Dot('galaxy', graph_type='digraph') self.halo_shape = "rect" self.z_shape = "plaintext" self.subgs = {} for num in self.numbers: self.subgs[num] = pydot.Subgraph('', rank = 'same') self.graph.add_subgraph(self.subgs[num]) sorted_lvl = sorted(self.levels, reverse=True) for ii,lvl in enumerate(sorted_lvl): # exist for the last level, i.e. children of last level. # Get it from self.numbers. if ii < len(sorted_lvl)-1: next_lvl = sorted_lvl[ii+1] else: next_lvl = self.numbers[0] for br in self.levels[lvl]: for c in br.children: color = "red" if c[0] == br.progenitor else "black" self.graph.add_edge(pydot.Edge("C%d_H%d" %(lvl, br.halo_id), "C%d_H%d" % (next_lvl, c[0]), color=color)) #line = " C%d_H%d -> C%d_H%d [color=%s];\n" % \ # (lvl, br.halo_id, next_lvl, c[0], color) #fp.write(line) for ii,lvl in enumerate(sorted_lvl): npart_max = 0 for br in self.levels[lvl]: if br.npart > npart_max: npart_max = br.npart for br in self.levels[lvl]: halo_str = "C%d_H%d" % (lvl, br.halo_id) style = "filled" if br.npart == npart_max else "solid" self.graph.add_node(pydot.Node(halo_str, label = "Halo %d\\n%d particles" % (br.halo_id, br.npart), style = style, shape = self.halo_shape)) # Add this node to the correct level subgraph. self.subgs[lvl].add_node(pydot.Node(halo_str)) for lvl in self.numbers: # Don't add the z if there are no halos already in the subgraph. if len(self.subgs[lvl].get_node_list()) == 0: continue self.subgs[lvl].add_node(pydot.Node("%1.5e" % self.redshifts[lvl], shape = self.z_shape, label = "z=%0.3f" % self.redshifts[lvl])) suffix = filename.split(".")[-1] if suffix == "gv": suffix = "raw" mylog.info("Writing %s format %s to disk." % (suffix, filename)) self.graph.write("%s" % filename, format=suffix) def find_halo_relationships(output1_id, output2_id, output_basename = None, radius = 0.10, external_FOF=True, FOF_directory='FOF'): mylog.info("Parsing Halo Catalog %04i", output1_id) HC1 = HaloCatalog(output1_id, False, external_FOF=external_FOF, \ FOF_directory=FOF_directory) mylog.info("Parsing Halo Catalog %04i", output2_id) HC2 = HaloCatalog(output2_id, True, external_FOF=external_FOF, \ FOF_directory=FOF_directory) mylog.info("Calculating fractions") pfrac = HC1.calculate_parentage_fractions(HC2) if output_basename is not None and pfrac != {}: f = open("%s.txt" % (output_basename), "w") for hid1 in sorted(pfrac): for hid2 in sorted(pfrac[hid1]): if not str(hid2).isdigit(): continue p1, p2, npart = pfrac[hid1][hid2] if p1 == 0.0: continue f.write( "Halo %s (%s) contributed %0.3e of its particles to %s (%s), which makes up %0.3e of that halo\n" % ( hid1, output1_id, p2, hid2, output2_id, p1)) f.close() cPickle.dump(pfrac, open("%s.cpkl" % (output_basename), "wb")) return HC1.redshift, HC2.redshift, pfrac def grab_FOF_halo_info_internal(filename, halo_id): groups_file = open(filename, 'r') for line in groups_file: if line.startswith("#"): continue if int(line.split()[0]) == halo_id: ar = np.array(line.split()).astype('float64') return ar[1], ar[4:7], ar[7:13] def plot_halo_evolution(filename, halo_id, x_quantity='cycle', y_quantity='mass', x_log=False, y_log=True, FOF_directory='FOF'): import matplotlib.pyplot as plt f = h5py.File("%s/%s" % (FOF_directory, filename), 'r') basename = os.path.splitext(filename)[0] halo = "halo%05d" % halo_id basename = basename + "_" + halo g = f[halo] values = list(g) index_dict = {'x' : 0, 'y' : 1, 'z' : 2, 'vx' : 3, 'vy' : 4, 'vz' : 5} coords = {} fields = {} for i, quantity in enumerate((x_quantity, y_quantity)): field = quantity if quantity.startswith('COM'): index = index_dict[quantity.split('_')[-1]] quantity = ('COM') if quantity.startswith('dense'): index = index_dict[quantity.split('_')[-1]] quantity = ('densest_point') if quantity not in values: exit('%s not in list of values in %s for halo %d' % \ (quantity, filename, halo_id)) if not field == quantity: coords[i] = g[quantity][index,:] else: coords[i] = g[quantity] if len(coords[i]) == 1: return fields[i] = field ax = plt.axes() ax.plot(coords[0], coords[1]) ax.set_title(basename) ax.set_xlabel(fields[0]) ax.set_ylabel(fields[1]) if x_log: ax.set_xscale("log") if y_log: ax.set_yscale("log") ofn = "%s/%s_%s_%s.png" % (FOF_directory, basename, fields[0], fields[1]) plt.savefig(ofn) plt.clf()

true

f7fc06c922334aa727e0b1bcb0270bb831ce2cde

42

py

Python

webtools/rootapp/migrations/__init__.py

10sr/webtools

8dd7fecf5d3df9094f32d044f11e983ab3095287

[ "Apache-2.0" ]

null

webtools/rootapp/migrations/__init__.py

10sr/webtools

8dd7fecf5d3df9094f32d044f11e983ab3095287

[ "Apache-2.0" ]

111

2019-05-15T05:20:49.000Z

2021-10-16T14:43:34.000Z

webtools/rootapp/migrations/__init__.py

10sr/webtools

8dd7fecf5d3df9094f32d044f11e983ab3095287

[ "Apache-2.0" ]

null

"""Webtools rootapp migration scripts."""

21

41

0.738095

true

f7fc06f744160a7afa89b7bc4fe2be871a74b842

3,735

py

Python

custom_components/waste_collection_schedule/waste_collection_schedule/source/brisbane_qld_gov_au.py

bjoernwolter/hacs_waste_collection_schedule

c9977cd03d8db52a79571f47ec78675932737de6

[ "MIT" ]

null

custom_components/waste_collection_schedule/waste_collection_schedule/source/brisbane_qld_gov_au.py

bjoernwolter/hacs_waste_collection_schedule

c9977cd03d8db52a79571f47ec78675932737de6

[ "MIT" ]

null

custom_components/waste_collection_schedule/waste_collection_schedule/source/brisbane_qld_gov_au.py

bjoernwolter/hacs_waste_collection_schedule

c9977cd03d8db52a79571f47ec78675932737de6

[ "MIT" ]

null

import json from datetime import date, timedelta import requests from waste_collection_schedule import Collection # type: ignore[attr-defined] TITLE = "Brisbane City Council" DESCRIPTION = "Source for Brisbane City Council rubbish collection." URL = "https://www.brisbane.qld.gov.au/clean-and-green/rubbish-tips-and-bins/rubbish-collections/bin-collection-calendar" TEST_CASES = { "Suburban Social": { "suburb": "Chapel Hill", "street_name": "Moordale St", "street_number": "3", }, "The Scratch Bar": { "suburb": "Milton", "street_name": "Park Rd", "street_number": "8/1", }, "Green Beacon": { "suburb": "Teneriffe", "street_name": "Helen St", "street_number": "26", }, } class Source: def __init__(self, suburb, street_name, street_number): self.suburb = suburb self.street_name = street_name self.street_number = street_number def fetch(self): suburb_id = 0 street_id = 0 property_id = 0 today = date.today() nextmonth = today + timedelta(30) # Retrieve suburbs r = requests.get("https://brisbane.waste-info.com.au/api/v1/localities.json") data = json.loads(r.text) # Find the ID for our suburb for item in data["localities"]: if item["name"] == self.suburb: suburb_id = item["id"] break if suburb_id == 0: return [] # Retrieve the streets in our suburb r = requests.get( f"https://brisbane.waste-info.com.au/api/v1/streets.json?locality={suburb_id}" ) data = json.loads(r.text) # Find the ID for our street for item in data["streets"]: if item["name"] == self.street_name: street_id = item["id"] break if street_id == 0: return [] # Retrieve the properties in our street r = requests.get( f"https://brisbane.waste-info.com.au/api/v1/properties.json?street={street_id}" ) data = json.loads(r.text) # Find the ID for our property for item in data["properties"]: if item["name"] == f"{self.street_number} {self.street_name} {self.suburb}": property_id = item["id"] break if property_id == 0: return [] # Retrieve the upcoming collections for our property r = requests.get( f"https://brisbane.waste-info.com.au/api/v1/properties/{property_id}.json?start={today}&end={nextmonth}" ) data = json.loads(r.text) entries = [] for item in data: if "start" in item: collection_date = date.fromisoformat(item["start"]) if (collection_date - today).days >= 0: # Every collection day includes rubbish entries.append( Collection( date=collection_date, t="Rubbish", icon="mdi:trash-can" ) ) if item["event_type"] == "recycle": entries.append( Collection( date=collection_date, t="Recycling", icon="mdi:recycle" ) ) if item["event_type"] == "organic": entries.append( Collection( date=collection_date, t="Garden", icon="mdi:leaf" ) ) return entries

31.386555

121

0.514056

import json from datetime import date, timedelta import requests from waste_collection_schedule import Collection TITLE = "Brisbane City Council" DESCRIPTION = "Source for Brisbane City Council rubbish collection." URL = "https://www.brisbane.qld.gov.au/clean-and-green/rubbish-tips-and-bins/rubbish-collections/bin-collection-calendar" TEST_CASES = { "Suburban Social": { "suburb": "Chapel Hill", "street_name": "Moordale St", "street_number": "3", }, "The Scratch Bar": { "suburb": "Milton", "street_name": "Park Rd", "street_number": "8/1", }, "Green Beacon": { "suburb": "Teneriffe", "street_name": "Helen St", "street_number": "26", }, } class Source: def __init__(self, suburb, street_name, street_number): self.suburb = suburb self.street_name = street_name self.street_number = street_number def fetch(self): suburb_id = 0 street_id = 0 property_id = 0 today = date.today() nextmonth = today + timedelta(30) r = requests.get("https://brisbane.waste-info.com.au/api/v1/localities.json") data = json.loads(r.text) for item in data["localities"]: if item["name"] == self.suburb: suburb_id = item["id"] break if suburb_id == 0: return [] r = requests.get( f"https://brisbane.waste-info.com.au/api/v1/streets.json?locality={suburb_id}" ) data = json.loads(r.text) for item in data["streets"]: if item["name"] == self.street_name: street_id = item["id"] break if street_id == 0: return [] r = requests.get( f"https://brisbane.waste-info.com.au/api/v1/properties.json?street={street_id}" ) data = json.loads(r.text) for item in data["properties"]: if item["name"] == f"{self.street_number} {self.street_name} {self.suburb}": property_id = item["id"] break if property_id == 0: return [] r = requests.get( f"https://brisbane.waste-info.com.au/api/v1/properties/{property_id}.json?start={today}&end={nextmonth}" ) data = json.loads(r.text) entries = [] for item in data: if "start" in item: collection_date = date.fromisoformat(item["start"]) if (collection_date - today).days >= 0: entries.append( Collection( date=collection_date, t="Rubbish", icon="mdi:trash-can" ) ) if item["event_type"] == "recycle": entries.append( Collection( date=collection_date, t="Recycling", icon="mdi:recycle" ) ) if item["event_type"] == "organic": entries.append( Collection( date=collection_date, t="Garden", icon="mdi:leaf" ) ) return entries

true

f7fc06f8ee9dc83380ac45dc8b592c51690b05e4

10,933

py

Python

validators/layout/ternary/_baxis.py

wwwidonja/changed_plotly

1bda35a438539a97c84a3ab3952e95e8848467bd

[ "MIT" ]

null

validators/layout/ternary/_baxis.py

wwwidonja/changed_plotly

1bda35a438539a97c84a3ab3952e95e8848467bd

[ "MIT" ]

null

validators/layout/ternary/_baxis.py

wwwidonja/changed_plotly

1bda35a438539a97c84a3ab3952e95e8848467bd

[ "MIT" ]

null

import _plotly_utils.basevalidators class BaxisValidator(_plotly_utils.basevalidators.CompoundValidator): def __init__(self, plotly_name="baxis", parent_name="layout.ternary", **kwargs): super(BaxisValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, data_class_str=kwargs.pop("data_class_str", "Baxis"), data_docs=kwargs.pop( "data_docs", """ color Sets default for all colors associated with this axis all at once: line, font, tick, and grid colors. Grid color is lightened by blending this with the plot background Individual pieces can override this. dtick Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n*dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48" exponentformat Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B. gridcolor Sets the color of the grid lines. gridwidth Sets the width (in px) of the grid lines. hoverformat Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time- format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" layer Sets the layer on which this axis is displayed. If *above traces*, this axis is displayed above all the subplot's traces If *below traces*, this axis is displayed below all the subplot's traces, but above the grid lines. Useful when used together with scatter-like traces with `cliponaxis` set to False to show markers and/or text nodes above this axis. linecolor Sets the axis line color. linewidth Sets the width (in px) of the axis line. min The minimum value visible on this axis. The maximum is determined by the sum minus the minimum values of the other two axes. The full view corresponds to all the minima set to zero. minexponent Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B". nticks Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto". separatethousands If "true", even 4-digit integers are separated showexponent If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear. showgrid Determines whether or not grid lines are drawn. If True, the grid lines are drawn at every tick mark. showline Determines whether or not a line bounding this axis is drawn. showticklabels Determines whether or not the tick labels are drawn. showtickprefix If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden. showticksuffix Same as `showtickprefix` but for tick suffixes. tick0 Sets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`=*L<f>* (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears. tickangle Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically. tickcolor Sets the tick color. tickfont Sets the tick font. tickformat Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time- format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" tickformatstops A tuple of :class:`new_plotly.graph_objects.layout. ternary.baxis.Tickformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.lay out.ternary.baxis.tickformatstopdefaults), sets the default property values to use for elements of layout.ternary.baxis.tickformatstops ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). tickprefix Sets a tick label prefix. ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. ticksuffix Sets a tick label suffix. ticktext Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. ticktextsrc Sets the source reference on Chart Studio Cloud for ticktext . tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on Chart Studio Cloud for tickvals . tickwidth Sets the tick width (in px). title :class:`new_plotly.graph_objects.layout.ternary.bax is.Title` instance or dict with compatible properties titlefont Deprecated: Please use layout.ternary.baxis.title.font instead. Sets this axis' title font. Note that the title's font used to be customized by the now deprecated `titlefont` attribute. uirevision Controls persistence of user-driven changes in axis `min`, and `title` if in `editable: true` configuration. Defaults to `ternary<N>.uirevision`. """, ), **kwargs )

48.591111

84

0.531327

import _plotly_utils.basevalidators class BaxisValidator(_plotly_utils.basevalidators.CompoundValidator): def __init__(self, plotly_name="baxis", parent_name="layout.ternary", **kwargs): super(BaxisValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, data_class_str=kwargs.pop("data_class_str", "Baxis"), data_docs=kwargs.pop( "data_docs", """ color Sets default for all colors associated with this axis all at once: line, font, tick, and grid colors. Grid color is lightened by blending this with the plot background Individual pieces can override this. dtick Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n*dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L<f>", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48" exponentformat Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B. gridcolor Sets the color of the grid lines. gridwidth Sets the width (in px) of the grid lines. hoverformat Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time- format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" layer Sets the layer on which this axis is displayed. If *above traces*, this axis is displayed above all the subplot's traces If *below traces*, this axis is displayed below all the subplot's traces, but above the grid lines. Useful when used together with scatter-like traces with `cliponaxis` set to False to show markers and/or text nodes above this axis. linecolor Sets the axis line color. linewidth Sets the width (in px) of the axis line. min The minimum value visible on this axis. The maximum is determined by the sum minus the minimum values of the other two axes. The full view corresponds to all the minima set to zero. minexponent Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B". nticks Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto". separatethousands If "true", even 4-digit integers are separated showexponent If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear. showgrid Determines whether or not grid lines are drawn. If True, the grid lines are drawn at every tick mark. showline Determines whether or not a line bounding this axis is drawn. showticklabels Determines whether or not the tick labels are drawn. showtickprefix If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden. showticksuffix Same as `showtickprefix` but for tick suffixes. tick0 Sets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`=*L<f>* (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears. tickangle Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically. tickcolor Sets the tick color. tickfont Sets the tick font. tickformat Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format And for dates see: https://github.com/d3/d3-time- format#locale_format We add one item to d3's date formatter: "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display "09~15~23.46" tickformatstops A tuple of :class:`new_plotly.graph_objects.layout. ternary.baxis.Tickformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.lay out.ternary.baxis.tickformatstopdefaults), sets the default property values to use for elements of layout.ternary.baxis.tickformatstops ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). tickprefix Sets a tick label prefix. ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. ticksuffix Sets a tick label suffix. ticktext Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. ticktextsrc Sets the source reference on Chart Studio Cloud for ticktext . tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on Chart Studio Cloud for tickvals . tickwidth Sets the tick width (in px). title :class:`new_plotly.graph_objects.layout.ternary.bax is.Title` instance or dict with compatible properties titlefont Deprecated: Please use layout.ternary.baxis.title.font instead. Sets this axis' title font. Note that the title's font used to be customized by the now deprecated `titlefont` attribute. uirevision Controls persistence of user-driven changes in axis `min`, and `title` if in `editable: true` configuration. Defaults to `ternary<N>.uirevision`. """, ), **kwargs )

true

f7fc07a1cc02be0570bd76de614ee2896a6e7dd7

9,148

py

Python

visualize.py

nemodrive/car_data_collection

8a8bf9381edb95ca3da2c0dea37ede70d778e1a3

[ "MIT" ]

1

2018-09-08T02:35:26.000Z

visualize.py

nemodrive/car_data_collection

8a8bf9381edb95ca3da2c0dea37ede70d778e1a3

[ "MIT" ]

null

visualize.py

nemodrive/car_data_collection

8a8bf9381edb95ca3da2c0dea37ede70d778e1a3

[ "MIT" ]

1

2019-01-07T10:46:24.000Z

# Andrei, 2018 """ Collect data. """ import matplotlib matplotlib.use('TkAgg') # <-- THIS MAKES IT FAST! from argparse import ArgumentParser import numpy as np import cv2 import os import time from utils import read_cfg from get_camera import async_camera_draw import matplotlib.pyplot as plt from can_utils import validate_data as validate_can_data from can_utils import CanPlot from phone_data_utils import validate_data as validate_phone_data from phone_data_utils import PhonePlot from multiprocessing import Process, Queue plt.ion() ## Note this correction CAN_PLOT_TIME = 5000 FONT_SCALE = 1.0 FONT = cv2.FONT_HERSHEY_PLAIN FONT_COLOR = (0, 255, 0) CFG_FILE = "cfg.yaml" CFG_EXTRA_FILE = "cfg_extra.yaml" PLAYBACK_FACTOR = 2 CV_WAIT_KEY_TIME = 1 if __name__ == "__main__": arg_parser = ArgumentParser() arg_parser.add_argument(dest='experiment_path', help='Path to experiment to visualize.') arg_parser.add_argument('--camera-view-size', default=400, type=int, dest="camera_view_size") arg_parser.add_argument('--start-tp', default=0, type=float, dest="start_tp") arg_parser = arg_parser.parse_args() experiment_path = arg_parser.experiment_path camera_view_size = arg_parser.camera_view_size start_tp = arg_parser.start_tp cfg = read_cfg(os.path.join(experiment_path, CFG_FILE)) cfg_extra = read_cfg(os.path.join(experiment_path, CFG_EXTRA_FILE)) collect = cfg.collect record_timestamp = cfg.recorded_min_max_tp common_min_max_tp = cfg.common_min_max_tp video_loders = [] obd_loader = None can_plot = None phone_plot = None plot_stuff = False live_plot = True processes = [] recv_queue = Queue() recv_processes = [] send_queues = [] ref_tp = 0 # Main camera reference timestamp if collect.camera: camera_names = ["camera_{}".format(x) for x in cfg.camera.ids] camera_cfgs = [getattr(cfg.camera, x) for x in camera_names] extra_camera_cfgs = [getattr(cfg_extra, x) for x in camera_names] with open(f"{experiment_path}/{camera_names[0]}_timestamp") as infile: lines = infile.readlines() ref_tp = float(lines[0]) # Async mode video_loders = [] for camera_name in camera_names: cfg_camera = getattr(cfg_extra, camera_name) camera_view_size = camera_view_size flip_view = getattr(cfg.camera, camera_name).flip video_plot = Queue() p = Process(target=async_camera_draw, args=(experiment_path, camera_name, cfg_camera, camera_view_size, flip_view, video_plot, recv_queue)) processes.append(p) video_loders.append(video_plot) send_queues.append(video_plot) recv_processes.append("camera_name") # video_loders = [VideoLoad(experiment_path, x, getattr(cfg_extra, x), # view_height=camera_view_size, # flip_view=getattr(cfg.camera, x).flip) for x in camera_names] # # Not working in python 2.7 # if collect.obd: # obd_loader = OBDLoader(experiment_path) plt.ion() if plot_stuff: plt.show() print("=" * 70) if collect.can: print("=" * 30, "Validate can data", "=" * 30) validate_can_data(experiment_path) key = input("Press key to continue ...") print("") print("=" * 70) if collect.phone: print("=" * 30, "Validate phone data", "=" * 30) validate_phone_data(experiment_path) key = input("Press key to continue ...") print("") if live_plot: if collect.can: print("=" * 70, "Can") plot_stuff = True can_plot = CanPlot(experiment_path) # # ASYNC MODE [ Not working because of matplotlib ] # can_plot = Queue() # # p = Process(target=async_can_plot, # args=(experiment_path, can_plot, recv_queue)) # processes.append(p) # send_queues.append(can_plot) # recv_processes.append("can") # key = input("Press key to continue ...") print("") if collect.phone: print("=" * 70, "Phone") plot_stuff = True phone_plot = PhonePlot(experiment_path) # # ASYNC MODE [ Not working because of matplotlib ] # phone_plot = Queue() # # p = Process(target=async_phone_plot, # args=(experiment_path, phone_plot, recv_queue)) # processes.append(p) # send_queues.append(phone_plot) # recv_processes.append("phone") # key = input("Press key to continue ...") print("") for p in processes: p.start() print("=" * 70, "Start") freq_tp = [1/30., 1/10., 1/5., 1/3., 1/2., 1., 2., 5., 10.] freq_id = 0 freq = freq_tp[freq_id] r = None crt_tp = common_min_max_tp[0] #+ 60. if start_tp != 0: crt_tp = start_tp print ("START factor: --->") print (crt_tp) print ("------------------") live_play = False key_wait_time = 0 playback_speed = 1. playback_factor = PLAYBACK_FACTOR # -- Define menu # Menu functions def increase_tp(): global crt_tp global freq crt_tp += freq def decrease_tp(): global crt_tp global freq crt_tp -= freq def change_freq(): global freq global freq_id freq_id = (freq_id + 1) % len(freq_tp) freq = freq_tp[freq_id] print("New frequency: {}".format(freq)) def toggle_play(): global live_play global key_wait_time live_play = not live_play key_wait_time = CV_WAIT_KEY_TIME if live_play else 0 def increase_playback_speed(): global playback_speed playback_speed = playback_speed * playback_factor def decrease_playback_speed(): global playback_speed playback_speed = playback_speed / playback_factor menu = dict({ 27: (quit, "Key [ESC]: Exit"), # if the 'ESC' key is pressed, Quit ord('l'): (change_freq, "Key [ l ]: Change freq"), ord('\''): (increase_tp, "Key [ \'; ]: Increase tp by freq"), ord(';'): (decrease_tp, "Key [ ; ]: Decrease tp by freq"), ord('p'): (toggle_play, "Key [ p ]: Toggle Live play"), ord(']'): (increase_playback_speed, "Key [ ] ]: Increase playback speed (*{})"), ord('['): (decrease_playback_speed, "Key [ [ ]: Decrease playback speed"), }) menu_text = "\n".join([x[1] for x in menu.values()]) # SHOW menu show_menu = True cursor_img = np.zeros((300, 300, 3)).astype(np.uint8) def get_key(wait_time, tp=0): if show_menu: y0, dy = 10, 25 cursor_img = np.zeros((300, 300, 3)).astype(np.uint8) new_text = menu_text + f"\nTP:{tp}" for i, line in enumerate(new_text.split('\n')): y = y0 + i * dy cv2.putText(cursor_img, line, (50, y), FONT, FONT_SCALE, FONT_COLOR) cv2.imshow("Cursor", cursor_img) k = cv2.waitKey(wait_time) # r = chr(k % 256) r = k & 0xFF return r while r != "q": prev_tp = time.time() key = get_key(key_wait_time, tp=crt_tp) # plt.clf() if key == 27: break if key in menu.keys(): menu[key][0]() elif key != 255: print("Unknown key: {}".format(key)) # if collect.obd: # obd_data = obd_loader.get_closest(crt_tp) if collect.can: # can_plot.put(crt_tp) can_r = can_plot.plot(crt_tp) # crt_steer, crt_speed = (np.random.rand() - 0.5) * 500, None crt_steer, crt_speed = None, None if "steer" in can_r: crt_steer = can_r["steer"]["steer"] if "speed" in can_r: crt_speed = can_r["speed"]["mps"] if collect.camera: for v in video_loders: v.put([0, crt_tp, crt_steer]) # dif_tp, frame = v.get_closest(crt_tp) # v.show(frame) if collect.phone: # phone_plot.put(crt_tp) phone_plot.plot(crt_tp) # # send bulk messages to Queus # for send_queue in send_queues: # send_queue.put(crt_tp) # TODO Plot magnetometer if plot_stuff: plt.show() plt.pause(0.0000001) # Note this correction recv_sync = 0 responses = [] while len(responses) < len(recv_processes): r = recv_queue.get() responses.append(r) if live_play: crt_tp += (time.time() - prev_tp) * playback_factor print(f"crt_tp: {crt_tp} ({crt_tp - ref_tp}) \t Steer: {crt_steer} \t speed: {crt_speed}") for q in send_queues: q.put(-1) for p in processes: p.join()

29.414791

98

0.57641

import matplotlib matplotlib.use('TkAgg') from argparse import ArgumentParser import numpy as np import cv2 import os import time from utils import read_cfg from get_camera import async_camera_draw import matplotlib.pyplot as plt from can_utils import validate_data as validate_can_data from can_utils import CanPlot from phone_data_utils import validate_data as validate_phone_data from phone_data_utils import PhonePlot from multiprocessing import Process, Queue plt.ion() FONT_SCALE = 1.0 FONT = cv2.FONT_HERSHEY_PLAIN FONT_COLOR = (0, 255, 0) CFG_FILE = "cfg.yaml" CFG_EXTRA_FILE = "cfg_extra.yaml" PLAYBACK_FACTOR = 2 CV_WAIT_KEY_TIME = 1 if __name__ == "__main__": arg_parser = ArgumentParser() arg_parser.add_argument(dest='experiment_path', help='Path to experiment to visualize.') arg_parser.add_argument('--camera-view-size', default=400, type=int, dest="camera_view_size") arg_parser.add_argument('--start-tp', default=0, type=float, dest="start_tp") arg_parser = arg_parser.parse_args() experiment_path = arg_parser.experiment_path camera_view_size = arg_parser.camera_view_size start_tp = arg_parser.start_tp cfg = read_cfg(os.path.join(experiment_path, CFG_FILE)) cfg_extra = read_cfg(os.path.join(experiment_path, CFG_EXTRA_FILE)) collect = cfg.collect record_timestamp = cfg.recorded_min_max_tp common_min_max_tp = cfg.common_min_max_tp video_loders = [] obd_loader = None can_plot = None phone_plot = None plot_stuff = False live_plot = True processes = [] recv_queue = Queue() recv_processes = [] send_queues = [] ref_tp = 0 if collect.camera: camera_names = ["camera_{}".format(x) for x in cfg.camera.ids] camera_cfgs = [getattr(cfg.camera, x) for x in camera_names] extra_camera_cfgs = [getattr(cfg_extra, x) for x in camera_names] with open(f"{experiment_path}/{camera_names[0]}_timestamp") as infile: lines = infile.readlines() ref_tp = float(lines[0]) video_loders = [] for camera_name in camera_names: cfg_camera = getattr(cfg_extra, camera_name) camera_view_size = camera_view_size flip_view = getattr(cfg.camera, camera_name).flip video_plot = Queue() p = Process(target=async_camera_draw, args=(experiment_path, camera_name, cfg_camera, camera_view_size, flip_view, video_plot, recv_queue)) processes.append(p) video_loders.append(video_plot) send_queues.append(video_plot) recv_processes.append("camera_name") plt.ion() if plot_stuff: plt.show() print("=" * 70) if collect.can: print("=" * 30, "Validate can data", "=" * 30) validate_can_data(experiment_path) key = input("Press key to continue ...") print("") print("=" * 70) if collect.phone: print("=" * 30, "Validate phone data", "=" * 30) validate_phone_data(experiment_path) key = input("Press key to continue ...") print("") if live_plot: if collect.can: print("=" * 70, "Can") plot_stuff = True can_plot = CanPlot(experiment_path) print("") if collect.phone: print("=" * 70, "Phone") plot_stuff = True phone_plot = PhonePlot(experiment_path) print("") for p in processes: p.start() print("=" * 70, "Start") freq_tp = [1/30., 1/10., 1/5., 1/3., 1/2., 1., 2., 5., 10.] freq_id = 0 freq = freq_tp[freq_id] r = None crt_tp = common_min_max_tp[0] if start_tp != 0: crt_tp = start_tp print ("START factor: --->") print (crt_tp) print ("------------------") live_play = False key_wait_time = 0 playback_speed = 1. playback_factor = PLAYBACK_FACTOR def increase_tp(): global crt_tp global freq crt_tp += freq def decrease_tp(): global crt_tp global freq crt_tp -= freq def change_freq(): global freq global freq_id freq_id = (freq_id + 1) % len(freq_tp) freq = freq_tp[freq_id] print("New frequency: {}".format(freq)) def toggle_play(): global live_play global key_wait_time live_play = not live_play key_wait_time = CV_WAIT_KEY_TIME if live_play else 0 def increase_playback_speed(): global playback_speed playback_speed = playback_speed * playback_factor def decrease_playback_speed(): global playback_speed playback_speed = playback_speed / playback_factor menu = dict({ 27: (quit, "Key [ESC]: Exit"), ord('l'): (change_freq, "Key [ l ]: Change freq"), ord('\''): (increase_tp, "Key [ \'; ]: Increase tp by freq"), ord(';'): (decrease_tp, "Key [ ; ]: Decrease tp by freq"), ord('p'): (toggle_play, "Key [ p ]: Toggle Live play"), ord(']'): (increase_playback_speed, "Key [ ] ]: Increase playback speed (*{})"), ord('['): (decrease_playback_speed, "Key [ [ ]: Decrease playback speed"), }) menu_text = "\n".join([x[1] for x in menu.values()]) show_menu = True cursor_img = np.zeros((300, 300, 3)).astype(np.uint8) def get_key(wait_time, tp=0): if show_menu: y0, dy = 10, 25 cursor_img = np.zeros((300, 300, 3)).astype(np.uint8) new_text = menu_text + f"\nTP:{tp}" for i, line in enumerate(new_text.split('\n')): y = y0 + i * dy cv2.putText(cursor_img, line, (50, y), FONT, FONT_SCALE, FONT_COLOR) cv2.imshow("Cursor", cursor_img) k = cv2.waitKey(wait_time) r = k & 0xFF return r while r != "q": prev_tp = time.time() key = get_key(key_wait_time, tp=crt_tp) if key == 27: break if key in menu.keys(): menu[key][0]() elif key != 255: print("Unknown key: {}".format(key)) if collect.can: can_r = can_plot.plot(crt_tp) crt_steer, crt_speed = None, None if "steer" in can_r: crt_steer = can_r["steer"]["steer"] if "speed" in can_r: crt_speed = can_r["speed"]["mps"] if collect.camera: for v in video_loders: v.put([0, crt_tp, crt_steer]) if collect.phone: phone_plot.plot(crt_tp) if plot_stuff: plt.show() plt.pause(0.0000001) recv_sync = 0 responses = [] while len(responses) < len(recv_processes): r = recv_queue.get() responses.append(r) if live_play: crt_tp += (time.time() - prev_tp) * playback_factor print(f"crt_tp: {crt_tp} ({crt_tp - ref_tp}) \t Steer: {crt_steer} \t speed: {crt_speed}") for q in send_queues: q.put(-1) for p in processes: p.join()

true

f7fc0818bf61d513a21dd2821db1b831505cb875

94,793

py

Python

cinder/db/sqlalchemy/api.py

theanalyst/cinder

7774eb30802b8cbebab2b7d4b1b9d7cac16ef18c

[ "Apache-2.0" ]

null

cinder/db/sqlalchemy/api.py

theanalyst/cinder

7774eb30802b8cbebab2b7d4b1b9d7cac16ef18c

[ "Apache-2.0" ]

null

cinder/db/sqlalchemy/api.py

theanalyst/cinder

7774eb30802b8cbebab2b7d4b1b9d7cac16ef18c

[ "Apache-2.0" ]

null

# Copyright (c) 2011 X.commerce, a business unit of eBay Inc. # Copyright 2010 United States Government as represented by the # Administrator of the National Aeronautics and Space Administration. # Copyright 2014 IBM Corp. # 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. """Implementation of SQLAlchemy backend.""" import sys import threading import uuid import warnings from oslo.config import cfg from sqlalchemy.exc import IntegrityError from sqlalchemy import or_ from sqlalchemy.orm import joinedload, joinedload_all from sqlalchemy.orm import RelationshipProperty from sqlalchemy.sql.expression import literal_column from sqlalchemy.sql import func from cinder.common import sqlalchemyutils from cinder.db.sqlalchemy import models from cinder import exception from cinder.openstack.common.db import exception as db_exc from cinder.openstack.common.db import options from cinder.openstack.common.db.sqlalchemy import session as db_session from cinder.openstack.common import log as logging from cinder.openstack.common import timeutils from cinder.openstack.common import uuidutils CONF = cfg.CONF LOG = logging.getLogger(__name__) options.set_defaults(sql_connection='sqlite:///$state_path/cinder.sqlite', sqlite_db='cinder.sqlite') _LOCK = threading.Lock() _FACADE = None def _create_facade_lazily(): global _LOCK with _LOCK: global _FACADE if _FACADE is None: _FACADE = db_session.EngineFacade( CONF.database.connection, **dict(CONF.database.iteritems()) ) return _FACADE def get_engine(): facade = _create_facade_lazily() return facade.get_engine() def get_session(**kwargs): facade = _create_facade_lazily() return facade.get_session(**kwargs) _DEFAULT_QUOTA_NAME = 'default' def get_backend(): """The backend is this module itself.""" return sys.modules[__name__] def is_admin_context(context): """Indicates if the request context is an administrator.""" if not context: warnings.warn(_('Use of empty request context is deprecated'), DeprecationWarning) raise Exception('die') return context.is_admin def is_user_context(context): """Indicates if the request context is a normal user.""" if not context: return False if context.is_admin: return False if not context.user_id or not context.project_id: return False return True def authorize_project_context(context, project_id): """Ensures a request has permission to access the given project.""" if is_user_context(context): if not context.project_id: raise exception.NotAuthorized() elif context.project_id != project_id: raise exception.NotAuthorized() def authorize_user_context(context, user_id): """Ensures a request has permission to access the given user.""" if is_user_context(context): if not context.user_id: raise exception.NotAuthorized() elif context.user_id != user_id: raise exception.NotAuthorized() def authorize_quota_class_context(context, class_name): """Ensures a request has permission to access the given quota class.""" if is_user_context(context): if not context.quota_class: raise exception.NotAuthorized() elif context.quota_class != class_name: raise exception.NotAuthorized() def require_admin_context(f): """Decorator to require admin request context. The first argument to the wrapped function must be the context. """ def wrapper(*args, **kwargs): if not is_admin_context(args[0]): raise exception.AdminRequired() return f(*args, **kwargs) return wrapper def require_context(f): """Decorator to require *any* user or admin context. This does no authorization for user or project access matching, see :py:func:`authorize_project_context` and :py:func:`authorize_user_context`. The first argument to the wrapped function must be the context. """ def wrapper(*args, **kwargs): if not is_admin_context(args[0]) and not is_user_context(args[0]): raise exception.NotAuthorized() return f(*args, **kwargs) return wrapper def require_volume_exists(f): """Decorator to require the specified volume to exist. Requires the wrapped function to use context and volume_id as their first two arguments. """ def wrapper(context, volume_id, *args, **kwargs): volume_get(context, volume_id) return f(context, volume_id, *args, **kwargs) wrapper.__name__ = f.__name__ return wrapper def require_snapshot_exists(f): """Decorator to require the specified snapshot to exist. Requires the wrapped function to use context and snapshot_id as their first two arguments. """ def wrapper(context, snapshot_id, *args, **kwargs): snapshot_get(context, snapshot_id) return f(context, snapshot_id, *args, **kwargs) wrapper.__name__ = f.__name__ return wrapper def model_query(context, *args, **kwargs): """Query helper that accounts for context's `read_deleted` field. :param context: context to query under :param session: if present, the session to use :param read_deleted: if present, overrides context's read_deleted field. :param project_only: if present and context is user-type, then restrict query to match the context's project_id. """ session = kwargs.get('session') or get_session() read_deleted = kwargs.get('read_deleted') or context.read_deleted project_only = kwargs.get('project_only') query = session.query(*args) if read_deleted == 'no': query = query.filter_by(deleted=False) elif read_deleted == 'yes': pass # omit the filter to include deleted and active elif read_deleted == 'only': query = query.filter_by(deleted=True) else: raise Exception( _("Unrecognized read_deleted value '%s'") % read_deleted) if project_only and is_user_context(context): query = query.filter_by(project_id=context.project_id) return query def _sync_volumes(context, project_id, session, volume_type_id=None, volume_type_name=None): (volumes, gigs) = _volume_data_get_for_project( context, project_id, volume_type_id=volume_type_id, session=session) key = 'volumes' if volume_type_name: key += '_' + volume_type_name return {key: volumes} def _sync_snapshots(context, project_id, session, volume_type_id=None, volume_type_name=None): (snapshots, gigs) = _snapshot_data_get_for_project( context, project_id, volume_type_id=volume_type_id, session=session) key = 'snapshots' if volume_type_name: key += '_' + volume_type_name return {key: snapshots} def _sync_gigabytes(context, project_id, session, volume_type_id=None, volume_type_name=None): (_junk, vol_gigs) = _volume_data_get_for_project( context, project_id, volume_type_id=volume_type_id, session=session) key = 'gigabytes' if volume_type_name: key += '_' + volume_type_name if CONF.no_snapshot_gb_quota: return {key: vol_gigs} (_junk, snap_gigs) = _snapshot_data_get_for_project( context, project_id, volume_type_id=volume_type_id, session=session) return {key: vol_gigs + snap_gigs} QUOTA_SYNC_FUNCTIONS = { '_sync_volumes': _sync_volumes, '_sync_snapshots': _sync_snapshots, '_sync_gigabytes': _sync_gigabytes, } ################### @require_admin_context def service_destroy(context, service_id): session = get_session() with session.begin(): service_ref = _service_get(context, service_id, session=session) service_ref.delete(session=session) @require_admin_context def _service_get(context, service_id, session=None): result = model_query( context, models.Service, session=session).\ filter_by(id=service_id).\ first() if not result: raise exception.ServiceNotFound(service_id=service_id) return result @require_admin_context def service_get(context, service_id): return _service_get(context, service_id) @require_admin_context def service_get_all(context, disabled=None): query = model_query(context, models.Service) if disabled is not None: query = query.filter_by(disabled=disabled) return query.all() @require_admin_context def service_get_all_by_topic(context, topic, disabled=None): query = model_query( context, models.Service, read_deleted="no").\ filter_by(topic=topic) if disabled is not None: query = query.filter_by(disabled=disabled) return query.all() @require_admin_context def service_get_by_host_and_topic(context, host, topic): result = model_query( context, models.Service, read_deleted="no").\ filter_by(disabled=False).\ filter_by(host=host).\ filter_by(topic=topic).\ first() if not result: raise exception.ServiceNotFound(service_id=None) return result @require_admin_context def service_get_all_by_host(context, host): return model_query( context, models.Service, read_deleted="no").\ filter_by(host=host).\ all() @require_admin_context def _service_get_all_topic_subquery(context, session, topic, subq, label): sort_value = getattr(subq.c, label) return model_query(context, models.Service, func.coalesce(sort_value, 0), session=session, read_deleted="no").\ filter_by(topic=topic).\ filter_by(disabled=False).\ outerjoin((subq, models.Service.host == subq.c.host)).\ order_by(sort_value).\ all() @require_admin_context def service_get_all_volume_sorted(context): session = get_session() with session.begin(): topic = CONF.volume_topic label = 'volume_gigabytes' subq = model_query(context, models.Volume.host, func.sum(models.Volume.size).label(label), session=session, read_deleted="no").\ group_by(models.Volume.host).\ subquery() return _service_get_all_topic_subquery(context, session, topic, subq, label) @require_admin_context def service_get_by_args(context, host, binary): result = model_query(context, models.Service).\ filter_by(host=host).\ filter_by(binary=binary).\ first() if not result: raise exception.HostBinaryNotFound(host=host, binary=binary) return result @require_admin_context def service_create(context, values): service_ref = models.Service() service_ref.update(values) if not CONF.enable_new_services: service_ref.disabled = True session = get_session() with session.begin(): service_ref.save(session) return service_ref @require_admin_context def service_update(context, service_id, values): session = get_session() with session.begin(): service_ref = _service_get(context, service_id, session=session) service_ref.update(values) ################### def _metadata_refs(metadata_dict, meta_class): metadata_refs = [] if metadata_dict: for k, v in metadata_dict.iteritems(): metadata_ref = meta_class() metadata_ref['key'] = k metadata_ref['value'] = v metadata_refs.append(metadata_ref) return metadata_refs def _dict_with_extra_specs(inst_type_query): """Convert type query result to dict with extra_spec and rate_limit. Takes a volume type query returned by sqlalchemy and returns it as a dictionary, converting the extra_specs entry from a list of dicts: 'extra_specs' : [{'key': 'k1', 'value': 'v1', ...}, ...] to a single dict: 'extra_specs' : {'k1': 'v1'} """ inst_type_dict = dict(inst_type_query) extra_specs = dict([(x['key'], x['value']) for x in inst_type_query['extra_specs']]) inst_type_dict['extra_specs'] = extra_specs return inst_type_dict ################### @require_admin_context def iscsi_target_count_by_host(context, host): return model_query(context, models.IscsiTarget).\ filter_by(host=host).\ count() @require_admin_context def iscsi_target_create_safe(context, values): iscsi_target_ref = models.IscsiTarget() for (key, value) in values.iteritems(): iscsi_target_ref[key] = value session = get_session() with session.begin(): try: iscsi_target_ref.save(session) return iscsi_target_ref except IntegrityError: return None ################### @require_context def _quota_get(context, project_id, resource, session=None): result = model_query(context, models.Quota, session=session, read_deleted="no").\ filter_by(project_id=project_id).\ filter_by(resource=resource).\ first() if not result: raise exception.ProjectQuotaNotFound(project_id=project_id) return result @require_context def quota_get(context, project_id, resource): return _quota_get(context, project_id, resource) @require_context def quota_get_all_by_project(context, project_id): authorize_project_context(context, project_id) rows = model_query(context, models.Quota, read_deleted="no").\ filter_by(project_id=project_id).\ all() result = {'project_id': project_id} for row in rows: result[row.resource] = row.hard_limit return result @require_admin_context def quota_create(context, project_id, resource, limit): quota_ref = models.Quota() quota_ref.project_id = project_id quota_ref.resource = resource quota_ref.hard_limit = limit session = get_session() with session.begin(): quota_ref.save(session) return quota_ref @require_admin_context def quota_update(context, project_id, resource, limit): session = get_session() with session.begin(): quota_ref = _quota_get(context, project_id, resource, session=session) quota_ref.hard_limit = limit @require_admin_context def quota_destroy(context, project_id, resource): session = get_session() with session.begin(): quota_ref = _quota_get(context, project_id, resource, session=session) quota_ref.delete(session=session) ################### @require_context def _quota_class_get(context, class_name, resource, session=None): result = model_query(context, models.QuotaClass, session=session, read_deleted="no").\ filter_by(class_name=class_name).\ filter_by(resource=resource).\ first() if not result: raise exception.QuotaClassNotFound(class_name=class_name) return result @require_context def quota_class_get(context, class_name, resource): return _quota_class_get(context, class_name, resource) def quota_class_get_default(context): rows = model_query(context, models.QuotaClass, read_deleted="no").\ filter_by(class_name=_DEFAULT_QUOTA_NAME).all() result = {'class_name': _DEFAULT_QUOTA_NAME} for row in rows: result[row.resource] = row.hard_limit return result @require_context def quota_class_get_all_by_name(context, class_name): authorize_quota_class_context(context, class_name) rows = model_query(context, models.QuotaClass, read_deleted="no").\ filter_by(class_name=class_name).\ all() result = {'class_name': class_name} for row in rows: result[row.resource] = row.hard_limit return result @require_admin_context def quota_class_create(context, class_name, resource, limit): quota_class_ref = models.QuotaClass() quota_class_ref.class_name = class_name quota_class_ref.resource = resource quota_class_ref.hard_limit = limit session = get_session() with session.begin(): quota_class_ref.save(session) return quota_class_ref @require_admin_context def quota_class_update(context, class_name, resource, limit): session = get_session() with session.begin(): quota_class_ref = _quota_class_get(context, class_name, resource, session=session) quota_class_ref.hard_limit = limit @require_admin_context def quota_class_destroy(context, class_name, resource): session = get_session() with session.begin(): quota_class_ref = _quota_class_get(context, class_name, resource, session=session) quota_class_ref.delete(session=session) @require_admin_context def quota_class_destroy_all_by_name(context, class_name): session = get_session() with session.begin(): quota_classes = model_query(context, models.QuotaClass, session=session, read_deleted="no").\ filter_by(class_name=class_name).\ all() for quota_class_ref in quota_classes: quota_class_ref.delete(session=session) ################### @require_context def quota_usage_get(context, project_id, resource): result = model_query(context, models.QuotaUsage, read_deleted="no").\ filter_by(project_id=project_id).\ filter_by(resource=resource).\ first() if not result: raise exception.QuotaUsageNotFound(project_id=project_id) return result @require_context def quota_usage_get_all_by_project(context, project_id): authorize_project_context(context, project_id) rows = model_query(context, models.QuotaUsage, read_deleted="no").\ filter_by(project_id=project_id).\ all() result = {'project_id': project_id} for row in rows: result[row.resource] = dict(in_use=row.in_use, reserved=row.reserved) return result @require_admin_context def _quota_usage_create(context, project_id, resource, in_use, reserved, until_refresh, session=None): quota_usage_ref = models.QuotaUsage() quota_usage_ref.project_id = project_id quota_usage_ref.resource = resource quota_usage_ref.in_use = in_use quota_usage_ref.reserved = reserved quota_usage_ref.until_refresh = until_refresh quota_usage_ref.save(session=session) return quota_usage_ref ################### def _reservation_create(context, uuid, usage, project_id, resource, delta, expire, session=None): reservation_ref = models.Reservation() reservation_ref.uuid = uuid reservation_ref.usage_id = usage['id'] reservation_ref.project_id = project_id reservation_ref.resource = resource reservation_ref.delta = delta reservation_ref.expire = expire reservation_ref.save(session=session) return reservation_ref ################### # NOTE(johannes): The quota code uses SQL locking to ensure races don't # cause under or over counting of resources. To avoid deadlocks, this # code always acquires the lock on quota_usages before acquiring the lock # on reservations. def _get_quota_usages(context, session, project_id): # Broken out for testability rows = model_query(context, models.QuotaUsage, read_deleted="no", session=session).\ filter_by(project_id=project_id).\ with_lockmode('update').\ all() return dict((row.resource, row) for row in rows) @require_context def quota_reserve(context, resources, quotas, deltas, expire, until_refresh, max_age, project_id=None): elevated = context.elevated() session = get_session() with session.begin(): if project_id is None: project_id = context.project_id # Get the current usages usages = _get_quota_usages(context, session, project_id) # Handle usage refresh work = set(deltas.keys()) while work: resource = work.pop() # Do we need to refresh the usage? refresh = False if resource not in usages: usages[resource] = _quota_usage_create(elevated, project_id, resource, 0, 0, until_refresh or None, session=session) refresh = True elif usages[resource].in_use < 0: # Negative in_use count indicates a desync, so try to # heal from that... refresh = True elif usages[resource].until_refresh is not None: usages[resource].until_refresh -= 1 if usages[resource].until_refresh <= 0: refresh = True elif max_age and usages[resource].updated_at is not None and ( (usages[resource].updated_at - timeutils.utcnow()).seconds >= max_age): refresh = True # OK, refresh the usage if refresh: # Grab the sync routine sync = QUOTA_SYNC_FUNCTIONS[resources[resource].sync] volume_type_id = getattr(resources[resource], 'volume_type_id', None) volume_type_name = getattr(resources[resource], 'volume_type_name', None) updates = sync(elevated, project_id, volume_type_id=volume_type_id, volume_type_name=volume_type_name, session=session) for res, in_use in updates.items(): # Make sure we have a destination for the usage! if res not in usages: usages[res] = _quota_usage_create( elevated, project_id, res, 0, 0, until_refresh or None, session=session ) # Update the usage usages[res].in_use = in_use usages[res].until_refresh = until_refresh or None # Because more than one resource may be refreshed # by the call to the sync routine, and we don't # want to double-sync, we make sure all refreshed # resources are dropped from the work set. work.discard(res) # NOTE(Vek): We make the assumption that the sync # routine actually refreshes the # resources that it is the sync routine # for. We don't check, because this is # a best-effort mechanism. # Check for deltas that would go negative unders = [r for r, delta in deltas.items() if delta < 0 and delta + usages[r].in_use < 0] # Now, let's check the quotas # NOTE(Vek): We're only concerned about positive increments. # If a project has gone over quota, we want them to # be able to reduce their usage without any # problems. overs = [r for r, delta in deltas.items() if quotas[r] >= 0 and delta >= 0 and quotas[r] < delta + usages[r].total] # NOTE(Vek): The quota check needs to be in the transaction, # but the transaction doesn't fail just because # we're over quota, so the OverQuota raise is # outside the transaction. If we did the raise # here, our usage updates would be discarded, but # they're not invalidated by being over-quota. # Create the reservations if not overs: reservations = [] for resource, delta in deltas.items(): reservation = _reservation_create(elevated, str(uuid.uuid4()), usages[resource], project_id, resource, delta, expire, session=session) reservations.append(reservation.uuid) # Also update the reserved quantity # NOTE(Vek): Again, we are only concerned here about # positive increments. Here, though, we're # worried about the following scenario: # # 1) User initiates resize down. # 2) User allocates a new instance. # 3) Resize down fails or is reverted. # 4) User is now over quota. # # To prevent this, we only update the # reserved value if the delta is positive. if delta > 0: usages[resource].reserved += delta if unders: LOG.warning(_("Change will make usage less than 0 for the following " "resources: %s") % unders) if overs: usages = dict((k, dict(in_use=v['in_use'], reserved=v['reserved'])) for k, v in usages.items()) raise exception.OverQuota(overs=sorted(overs), quotas=quotas, usages=usages) return reservations def _quota_reservations(session, context, reservations): """Return the relevant reservations.""" # Get the listed reservations return model_query(context, models.Reservation, read_deleted="no", session=session).\ filter(models.Reservation.uuid.in_(reservations)).\ with_lockmode('update').\ all() @require_context def reservation_commit(context, reservations, project_id=None): session = get_session() with session.begin(): usages = _get_quota_usages(context, session, project_id) for reservation in _quota_reservations(session, context, reservations): usage = usages[reservation.resource] if reservation.delta >= 0: usage.reserved -= reservation.delta usage.in_use += reservation.delta reservation.delete(session=session) @require_context def reservation_rollback(context, reservations, project_id=None): session = get_session() with session.begin(): usages = _get_quota_usages(context, session, project_id) for reservation in _quota_reservations(session, context, reservations): usage = usages[reservation.resource] if reservation.delta >= 0: usage.reserved -= reservation.delta reservation.delete(session=session) @require_admin_context def quota_destroy_all_by_project(context, project_id): session = get_session() with session.begin(): quotas = model_query(context, models.Quota, session=session, read_deleted="no").\ filter_by(project_id=project_id).\ all() for quota_ref in quotas: quota_ref.delete(session=session) quota_usages = model_query(context, models.QuotaUsage, session=session, read_deleted="no").\ filter_by(project_id=project_id).\ all() for quota_usage_ref in quota_usages: quota_usage_ref.delete(session=session) reservations = model_query(context, models.Reservation, session=session, read_deleted="no").\ filter_by(project_id=project_id).\ all() for reservation_ref in reservations: reservation_ref.delete(session=session) @require_admin_context def reservation_expire(context): session = get_session() with session.begin(): current_time = timeutils.utcnow() results = model_query(context, models.Reservation, session=session, read_deleted="no").\ filter(models.Reservation.expire < current_time).\ all() if results: for reservation in results: if reservation.delta >= 0: reservation.usage.reserved -= reservation.delta reservation.usage.save(session=session) reservation.delete(session=session) ################### @require_admin_context def volume_allocate_iscsi_target(context, volume_id, host): session = get_session() with session.begin(): iscsi_target_ref = model_query(context, models.IscsiTarget, session=session, read_deleted="no").\ filter_by(volume=None).\ filter_by(host=host).\ with_lockmode('update').\ first() # NOTE(vish): if with_lockmode isn't supported, as in sqlite, # then this has concurrency issues if not iscsi_target_ref: raise exception.NoMoreTargets() iscsi_target_ref.volume_id = volume_id session.add(iscsi_target_ref) return iscsi_target_ref.target_num @require_admin_context def volume_attached(context, volume_id, instance_uuid, host_name, mountpoint): if instance_uuid and not uuidutils.is_uuid_like(instance_uuid): raise exception.InvalidUUID(uuid=instance_uuid) session = get_session() with session.begin(): volume_ref = _volume_get(context, volume_id, session=session) volume_ref['status'] = 'in-use' volume_ref['mountpoint'] = mountpoint volume_ref['attach_status'] = 'attached' volume_ref['instance_uuid'] = instance_uuid volume_ref['attached_host'] = host_name return volume_ref @require_context def volume_create(context, values): values['volume_metadata'] = _metadata_refs(values.get('metadata'), models.VolumeMetadata) if is_admin_context(context): values['volume_admin_metadata'] = \ _metadata_refs(values.get('admin_metadata'), models.VolumeAdminMetadata) elif values.get('volume_admin_metadata'): del values['volume_admin_metadata'] volume_ref = models.Volume() if not values.get('id'): values['id'] = str(uuid.uuid4()) volume_ref.update(values) session = get_session() with session.begin(): session.add(volume_ref) return _volume_get(context, values['id'], session=session) @require_admin_context def volume_data_get_for_host(context, host, count_only=False): if count_only: result = model_query(context, func.count(models.Volume.id), read_deleted="no").\ filter_by(host=host).\ first() return result[0] or 0 else: result = model_query(context, func.count(models.Volume.id), func.sum(models.Volume.size), read_deleted="no").\ filter_by(host=host).\ first() # NOTE(vish): convert None to 0 return (result[0] or 0, result[1] or 0) @require_admin_context def _volume_data_get_for_project(context, project_id, volume_type_id=None, session=None): query = model_query(context, func.count(models.Volume.id), func.sum(models.Volume.size), read_deleted="no", session=session).\ filter_by(project_id=project_id) if volume_type_id: query = query.filter_by(volume_type_id=volume_type_id) result = query.first() # NOTE(vish): convert None to 0 return (result[0] or 0, result[1] or 0) @require_admin_context def volume_data_get_for_project(context, project_id, volume_type_id=None): return _volume_data_get_for_project(context, project_id, volume_type_id) @require_admin_context def finish_volume_migration(context, src_vol_id, dest_vol_id): """Copy almost all columns from dest to source.""" session = get_session() with session.begin(): src_volume_ref = _volume_get(context, src_vol_id, session=session) dest_volume_ref = _volume_get(context, dest_vol_id, session=session) # NOTE(rpodolyaka): we should copy only column values, while model # instances also have relationships attributes, which # should be ignored def is_column(inst, attr): return attr in inst.__class__.__table__.columns for key, value in dest_volume_ref.iteritems(): if key == 'id' or not is_column(dest_volume_ref, key): continue elif key == 'migration_status': value = None elif key == '_name_id': value = dest_volume_ref['_name_id'] or dest_volume_ref['id'] setattr(src_volume_ref, key, value) @require_admin_context def volume_destroy(context, volume_id): session = get_session() now = timeutils.utcnow() with session.begin(): model_query(context, models.Volume, session=session).\ filter_by(id=volume_id).\ update({'status': 'deleted', 'deleted': True, 'deleted_at': now, 'updated_at': literal_column('updated_at')}) model_query(context, models.IscsiTarget, session=session).\ filter_by(volume_id=volume_id).\ update({'volume_id': None}) model_query(context, models.VolumeMetadata, session=session).\ filter_by(volume_id=volume_id).\ update({'deleted': True, 'deleted_at': now, 'updated_at': literal_column('updated_at')}) model_query(context, models.VolumeAdminMetadata, session=session).\ filter_by(volume_id=volume_id).\ update({'deleted': True, 'deleted_at': now, 'updated_at': literal_column('updated_at')}) model_query(context, models.Transfer, session=session).\ filter_by(volume_id=volume_id).\ update({'deleted': True, 'deleted_at': now, 'updated_at': literal_column('updated_at')}) @require_admin_context def volume_detached(context, volume_id): session = get_session() with session.begin(): volume_ref = _volume_get(context, volume_id, session=session) # Hide status update from user if we're performing a volume migration if not volume_ref['migration_status']: volume_ref['status'] = 'available' volume_ref['mountpoint'] = None volume_ref['attach_status'] = 'detached' volume_ref['instance_uuid'] = None volume_ref['attached_host'] = None volume_ref['attach_time'] = None @require_context def _volume_get_query(context, session=None, project_only=False): if is_admin_context(context): return model_query(context, models.Volume, session=session, project_only=project_only).\ options(joinedload('volume_metadata')).\ options(joinedload('volume_admin_metadata')).\ options(joinedload('volume_type')) else: return model_query(context, models.Volume, session=session, project_only=project_only).\ options(joinedload('volume_metadata')).\ options(joinedload('volume_type')) @require_context def _volume_get(context, volume_id, session=None): result = _volume_get_query(context, session=session, project_only=True).\ filter_by(id=volume_id).\ first() if not result: raise exception.VolumeNotFound(volume_id=volume_id) return result @require_context def volume_get(context, volume_id): return _volume_get(context, volume_id) @require_admin_context def volume_get_all(context, marker, limit, sort_key, sort_dir, filters=None): """Retrieves all volumes. :param context: context to query under :param marker: the last item of the previous page, used to determine the next page of results to return :param limit: maximum number of items to return :param sort_key: single attributes by which results should be sorted :param sort_dir: direction in which results should be sorted (asc, desc) :param filters: Filters for the query. A filter key/value of 'no_migration_targets'=True causes volumes with either a NULL 'migration_status' or a 'migration_status' that does not start with 'target:' to be retrieved. :returns: list of matching volumes """ session = get_session() with session.begin(): # Generate the query query = _generate_paginate_query(context, session, marker, limit, sort_key, sort_dir, filters) # No volumes would match, return empty list if query == None: return [] return query.all() @require_admin_context def volume_get_all_by_host(context, host): return _volume_get_query(context).filter_by(host=host).all() @require_context def volume_get_all_by_project(context, project_id, marker, limit, sort_key, sort_dir, filters=None): """"Retrieves all volumes in a project. :param context: context to query under :param project_id: project for all volumes being retrieved :param marker: the last item of the previous page, used to determine the next page of results to return :param limit: maximum number of items to return :param sort_key: single attributes by which results should be sorted :param sort_dir: direction in which results should be sorted (asc, desc) :param filters: Filters for the query. A filter key/value of 'no_migration_targets'=True causes volumes with either a NULL 'migration_status' or a 'migration_status' that does not start with 'target:' to be retrieved. :returns: list of matching volumes """ session = get_session() with session.begin(): authorize_project_context(context, project_id) # Add in the project filter without modifying the given filters filters = filters.copy() if filters else {} filters['project_id'] = project_id # Generate the query query = _generate_paginate_query(context, session, marker, limit, sort_key, sort_dir, filters) # No volumes would match, return empty list if query == None: return [] return query.all() def _generate_paginate_query(context, session, marker, limit, sort_key, sort_dir, filters): """Generate the query to include the filters and the paginate options. Returns a query with sorting / pagination criteria added or None if the given filters will not yield any results. :param context: context to query under :param session: the session to use :param marker: the last item of the previous page; we returns the next results after this value. :param limit: maximum number of items to return :param sort_key: single attributes by which results should be sorted :param sort_dir: direction in which results should be sorted (asc, desc) :param filters: dictionary of filters; values that are lists, tuples, sets, or frozensets cause an 'IN' test to be performed, while exact matching ('==' operator) is used for other values :returns: updated query or None """ query = _volume_get_query(context, session=session) if filters: filters = filters.copy() # 'no_migration_targets' is unique, must be either NULL or # not start with 'target:' if ('no_migration_targets' in filters and filters['no_migration_targets'] == True): filters.pop('no_migration_targets') try: column_attr = getattr(models.Volume, 'migration_status') conditions = [column_attr == None, column_attr.op('NOT LIKE')('target:%')] query = query.filter(or_(*conditions)) except AttributeError: log_msg = _("'migration_status' column could not be found.") LOG.debug(log_msg) return None # Apply exact match filters for everything else, ensure that the # filter value exists on the model for key in filters.keys(): # metadata is unique, must be a dict if key == 'metadata': if not isinstance(filters[key], dict): log_msg = _("'metadata' filter value is not valid.") LOG.debug(log_msg) return None continue try: column_attr = getattr(models.Volume, key) # Do not allow relationship properties since those require # schema specific knowledge prop = getattr(column_attr, 'property') if isinstance(prop, RelationshipProperty): log_msg = (_("'%s' filter key is not valid, " "it maps to a relationship.")) % key LOG.debug(log_msg) return None except AttributeError: log_msg = _("'%s' filter key is not valid.") % key LOG.debug(log_msg) return None # Holds the simple exact matches filter_dict = {} # Iterate over all filters, special case the filter is necessary for key, value in filters.iteritems(): if key == 'metadata': # model.VolumeMetadata defines the backref to Volumes as # 'volume_metadata' or 'volume_admin_metadata', use those as # column attribute keys col_attr = getattr(models.Volume, 'volume_metadata') col_ad_attr = getattr(models.Volume, 'volume_admin_metadata') for k, v in value.iteritems(): query = query.filter(or_(col_attr.any(key=k, value=v), col_ad_attr.any(key=k, value=v))) elif isinstance(value, (list, tuple, set, frozenset)): # Looking for values in a list; apply to query directly column_attr = getattr(models.Volume, key) query = query.filter(column_attr.in_(value)) else: # OK, simple exact match; save for later filter_dict[key] = value # Apply simple exact matches if filter_dict: query = query.filter_by(**filter_dict) marker_volume = None if marker is not None: marker_volume = _volume_get(context, marker, session) return sqlalchemyutils.paginate_query(query, models.Volume, limit, [sort_key, 'created_at', 'id'], marker=marker_volume, sort_dir=sort_dir) @require_admin_context def volume_get_iscsi_target_num(context, volume_id): result = model_query(context, models.IscsiTarget, read_deleted="yes").\ filter_by(volume_id=volume_id).\ first() if not result: raise exception.ISCSITargetNotFoundForVolume(volume_id=volume_id) return result.target_num @require_context def volume_update(context, volume_id, values): session = get_session() with session.begin(): metadata = values.get('metadata') if metadata is not None: _volume_user_metadata_update(context, volume_id, values.pop('metadata'), delete=True, session=session) admin_metadata = values.get('admin_metadata') if is_admin_context(context) and admin_metadata is not None: _volume_admin_metadata_update(context, volume_id, values.pop('admin_metadata'), delete=True, session=session) volume_ref = _volume_get(context, volume_id, session=session) volume_ref.update(values) return volume_ref #################### def _volume_x_metadata_get_query(context, volume_id, model, session=None): return model_query(context, model, session=session, read_deleted="no").\ filter_by(volume_id=volume_id) def _volume_x_metadata_get(context, volume_id, model, session=None): rows = _volume_x_metadata_get_query(context, volume_id, model, session=session).all() result = {} for row in rows: result[row['key']] = row['value'] return result def _volume_x_metadata_get_item(context, volume_id, key, model, notfound_exec, session=None): result = _volume_x_metadata_get_query(context, volume_id, model, session=session).\ filter_by(key=key).\ first() if not result: raise notfound_exec(metadata_key=key, volume_id=volume_id) return result def _volume_x_metadata_update(context, volume_id, metadata, delete, model, notfound_exec, session=None): if not session: session = get_session() with session.begin(subtransactions=True): # Set existing metadata to deleted if delete argument is True if delete: original_metadata = _volume_x_metadata_get(context, volume_id, model, session=session) for meta_key, meta_value in original_metadata.iteritems(): if meta_key not in metadata: meta_ref = _volume_x_metadata_get_item(context, volume_id, meta_key, model, notfound_exec, session=session) meta_ref.update({'deleted': True}) meta_ref.save(session=session) meta_ref = None # Now update all existing items with new values, or create new meta # objects for meta_key, meta_value in metadata.items(): # update the value whether it exists or not item = {"value": meta_value} try: meta_ref = _volume_x_metadata_get_item(context, volume_id, meta_key, model, notfound_exec, session=session) except notfound_exec: meta_ref = model() item.update({"key": meta_key, "volume_id": volume_id}) meta_ref.update(item) meta_ref.save(session=session) return _volume_x_metadata_get(context, volume_id, model) def _volume_user_metadata_get_query(context, volume_id, session=None): return _volume_x_metadata_get_query(context, volume_id, models.VolumeMetadata, session=session) @require_context @require_volume_exists def _volume_user_metadata_get(context, volume_id, session=None): return _volume_x_metadata_get(context, volume_id, models.VolumeMetadata, session=session) @require_context def _volume_user_metadata_get_item(context, volume_id, key, session=None): return _volume_x_metadata_get_item(context, volume_id, key, models.VolumeMetadata, exception.VolumeMetadataNotFound, session=session) @require_context @require_volume_exists def _volume_user_metadata_update(context, volume_id, metadata, delete, session=None): return _volume_x_metadata_update(context, volume_id, metadata, delete, models.VolumeMetadata, exception.VolumeMetadataNotFound, session=session) @require_context @require_volume_exists def volume_metadata_get_item(context, volume_id, key): return _volume_user_metadata_get_item(context, volume_id, key) @require_context @require_volume_exists def volume_metadata_get(context, volume_id): return _volume_user_metadata_get(context, volume_id) @require_context @require_volume_exists def volume_metadata_delete(context, volume_id, key): _volume_user_metadata_get_query(context, volume_id).\ filter_by(key=key).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context @require_volume_exists def volume_metadata_update(context, volume_id, metadata, delete): return _volume_user_metadata_update(context, volume_id, metadata, delete) ################### def _volume_admin_metadata_get_query(context, volume_id, session=None): return _volume_x_metadata_get_query(context, volume_id, models.VolumeAdminMetadata, session=session) @require_admin_context @require_volume_exists def _volume_admin_metadata_get(context, volume_id, session=None): return _volume_x_metadata_get(context, volume_id, models.VolumeAdminMetadata, session=session) @require_admin_context @require_volume_exists def _volume_admin_metadata_update(context, volume_id, metadata, delete, session=None): return _volume_x_metadata_update(context, volume_id, metadata, delete, models.VolumeAdminMetadata, exception.VolumeAdminMetadataNotFound, session=session) @require_admin_context @require_volume_exists def volume_admin_metadata_get(context, volume_id): return _volume_admin_metadata_get(context, volume_id) @require_admin_context @require_volume_exists def volume_admin_metadata_delete(context, volume_id, key): _volume_admin_metadata_get_query(context, volume_id).\ filter_by(key=key).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_admin_context @require_volume_exists def volume_admin_metadata_update(context, volume_id, metadata, delete): return _volume_admin_metadata_update(context, volume_id, metadata, delete) ################### @require_context def snapshot_create(context, values): values['snapshot_metadata'] = _metadata_refs(values.get('metadata'), models.SnapshotMetadata) if not values.get('id'): values['id'] = str(uuid.uuid4()) session = get_session() with session.begin(): snapshot_ref = models.Snapshot() snapshot_ref.update(values) session.add(snapshot_ref) return _snapshot_get(context, values['id'], session=session) @require_admin_context def snapshot_destroy(context, snapshot_id): session = get_session() with session.begin(): model_query(context, models.Snapshot, session=session).\ filter_by(id=snapshot_id).\ update({'status': 'deleted', 'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) model_query(context, models.SnapshotMetadata, session=session).\ filter_by(snapshot_id=snapshot_id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def _snapshot_get(context, snapshot_id, session=None): result = model_query(context, models.Snapshot, session=session, project_only=True).\ options(joinedload('volume')).\ options(joinedload('snapshot_metadata')).\ filter_by(id=snapshot_id).\ first() if not result: raise exception.SnapshotNotFound(snapshot_id=snapshot_id) return result @require_context def snapshot_get(context, snapshot_id): return _snapshot_get(context, snapshot_id) @require_admin_context def snapshot_get_all(context): return model_query(context, models.Snapshot).\ options(joinedload('snapshot_metadata')).\ all() @require_context def snapshot_get_all_for_volume(context, volume_id): return model_query(context, models.Snapshot, read_deleted='no', project_only=True).\ filter_by(volume_id=volume_id).\ options(joinedload('snapshot_metadata')).\ all() @require_context def snapshot_get_all_by_project(context, project_id): authorize_project_context(context, project_id) return model_query(context, models.Snapshot).\ filter_by(project_id=project_id).\ options(joinedload('snapshot_metadata')).\ all() @require_context def _snapshot_data_get_for_project(context, project_id, volume_type_id=None, session=None): authorize_project_context(context, project_id) query = model_query(context, func.count(models.Snapshot.id), func.sum(models.Snapshot.volume_size), read_deleted="no", session=session).\ filter_by(project_id=project_id) if volume_type_id: query = query.join('volume').filter_by(volume_type_id=volume_type_id) result = query.first() # NOTE(vish): convert None to 0 return (result[0] or 0, result[1] or 0) @require_context def snapshot_data_get_for_project(context, project_id, volume_type_id=None): return _snapshot_data_get_for_project(context, project_id, volume_type_id) @require_context def snapshot_get_active_by_window(context, begin, end=None, project_id=None): """Return snapshots that were active during window.""" query = model_query(context, models.Snapshot, read_deleted="yes") query = query.filter(or_(models.Snapshot.deleted_at == None, models.Snapshot.deleted_at > begin)) query = query.options(joinedload(models.Snapshot.volume)) if end: query = query.filter(models.Snapshot.created_at < end) if project_id: query = query.filter_by(project_id=project_id) return query.all() @require_context def snapshot_update(context, snapshot_id, values): session = get_session() with session.begin(): snapshot_ref = _snapshot_get(context, snapshot_id, session=session) snapshot_ref.update(values) #################### def _snapshot_metadata_get_query(context, snapshot_id, session=None): return model_query(context, models.SnapshotMetadata, session=session, read_deleted="no").\ filter_by(snapshot_id=snapshot_id) @require_context @require_snapshot_exists def _snapshot_metadata_get(context, snapshot_id, session=None): rows = _snapshot_metadata_get_query(context, snapshot_id, session).all() result = {} for row in rows: result[row['key']] = row['value'] return result @require_context @require_snapshot_exists def snapshot_metadata_get(context, snapshot_id): return _snapshot_metadata_get(context, snapshot_id) @require_context @require_snapshot_exists def snapshot_metadata_delete(context, snapshot_id, key): _snapshot_metadata_get_query(context, snapshot_id).\ filter_by(key=key).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def _snapshot_metadata_get_item(context, snapshot_id, key, session=None): result = _snapshot_metadata_get_query(context, snapshot_id, session=session).\ filter_by(key=key).\ first() if not result: raise exception.SnapshotMetadataNotFound(metadata_key=key, snapshot_id=snapshot_id) return result @require_context @require_snapshot_exists def snapshot_metadata_update(context, snapshot_id, metadata, delete): session = get_session() with session.begin(): # Set existing metadata to deleted if delete argument is True if delete: original_metadata = _snapshot_metadata_get(context, snapshot_id, session) for meta_key, meta_value in original_metadata.iteritems(): if meta_key not in metadata: meta_ref = _snapshot_metadata_get_item(context, snapshot_id, meta_key, session) meta_ref.update({'deleted': True}) meta_ref.save(session=session) meta_ref = None # Now update all existing items with new values, or create new meta # objects for meta_key, meta_value in metadata.items(): # update the value whether it exists or not item = {"value": meta_value} try: meta_ref = _snapshot_metadata_get_item(context, snapshot_id, meta_key, session) except exception.SnapshotMetadataNotFound: meta_ref = models.SnapshotMetadata() item.update({"key": meta_key, "snapshot_id": snapshot_id}) meta_ref.update(item) meta_ref.save(session=session) return snapshot_metadata_get(context, snapshot_id) ################### @require_admin_context def volume_type_create(context, values): """Create a new instance type. In order to pass in extra specs, the values dict should contain a 'extra_specs' key/value pair: {'extra_specs' : {'k1': 'v1', 'k2': 'v2', ...}} """ if not values.get('id'): values['id'] = str(uuid.uuid4()) session = get_session() with session.begin(): try: _volume_type_get_by_name(context, values['name'], session) raise exception.VolumeTypeExists(id=values['name']) except exception.VolumeTypeNotFoundByName: pass try: _volume_type_get(context, values['id'], session) raise exception.VolumeTypeExists(id=values['id']) except exception.VolumeTypeNotFound: pass try: values['extra_specs'] = _metadata_refs(values.get('extra_specs'), models.VolumeTypeExtraSpecs) volume_type_ref = models.VolumeTypes() volume_type_ref.update(values) session.add(volume_type_ref) except Exception as e: raise db_exc.DBError(e) return volume_type_ref @require_context def volume_type_get_all(context, inactive=False, filters=None): """Returns a dict describing all volume_types with name as key.""" filters = filters or {} read_deleted = "yes" if inactive else "no" rows = model_query(context, models.VolumeTypes, read_deleted=read_deleted).\ options(joinedload('extra_specs')).\ order_by("name").\ all() result = {} for row in rows: result[row['name']] = _dict_with_extra_specs(row) return result @require_context def _volume_type_get(context, id, session=None, inactive=False): read_deleted = "yes" if inactive else "no" result = model_query(context, models.VolumeTypes, session=session, read_deleted=read_deleted).\ options(joinedload('extra_specs')).\ filter_by(id=id).\ first() if not result: raise exception.VolumeTypeNotFound(volume_type_id=id) return _dict_with_extra_specs(result) @require_context def volume_type_get(context, id, inactive=False): """Return a dict describing specific volume_type.""" return _volume_type_get(context, id, None, inactive) @require_context def _volume_type_get_by_name(context, name, session=None): result = model_query(context, models.VolumeTypes, session=session).\ options(joinedload('extra_specs')).\ filter_by(name=name).\ first() if not result: raise exception.VolumeTypeNotFoundByName(volume_type_name=name) else: return _dict_with_extra_specs(result) @require_context def volume_type_get_by_name(context, name): """Return a dict describing specific volume_type.""" return _volume_type_get_by_name(context, name) @require_admin_context def volume_type_qos_associations_get(context, qos_specs_id, inactive=False): read_deleted = "yes" if inactive else "no" return model_query(context, models.VolumeTypes, read_deleted=read_deleted). \ filter_by(qos_specs_id=qos_specs_id).all() @require_admin_context def volume_type_qos_associate(context, type_id, qos_specs_id): session = get_session() with session.begin(): _volume_type_get(context, type_id, session) session.query(models.VolumeTypes). \ filter_by(id=type_id). \ update({'qos_specs_id': qos_specs_id, 'updated_at': timeutils.utcnow()}) @require_admin_context def volume_type_qos_disassociate(context, qos_specs_id, type_id): """Disassociate volume type from qos specs.""" session = get_session() with session.begin(): _volume_type_get(context, type_id, session) session.query(models.VolumeTypes). \ filter_by(id=type_id). \ filter_by(qos_specs_id=qos_specs_id). \ update({'qos_specs_id': None, 'updated_at': timeutils.utcnow()}) @require_admin_context def volume_type_qos_disassociate_all(context, qos_specs_id): """Disassociate all volume types associated with specified qos specs.""" session = get_session() with session.begin(): session.query(models.VolumeTypes). \ filter_by(qos_specs_id=qos_specs_id). \ update({'qos_specs_id': None, 'updated_at': timeutils.utcnow()}) @require_admin_context def volume_type_qos_specs_get(context, type_id): """Return all qos specs for given volume type. result looks like: { 'qos_specs': { 'id': 'qos-specs-id', 'name': 'qos_specs_name', 'consumer': 'Consumer', 'specs': { 'key1': 'value1', 'key2': 'value2', 'key3': 'value3' } } } """ session = get_session() with session.begin(): _volume_type_get(context, type_id, session) row = session.query(models.VolumeTypes). \ options(joinedload('qos_specs')). \ filter_by(id=type_id). \ first() # row.qos_specs is a list of QualityOfServiceSpecs ref specs = _dict_with_qos_specs(row.qos_specs) if not specs: # turn empty list to None specs = None else: specs = specs[0] return {'qos_specs': specs} @require_admin_context def volume_type_destroy(context, id): session = get_session() with session.begin(): _volume_type_get(context, id, session) results = model_query(context, models.Volume, session=session). \ filter_by(volume_type_id=id).all() if results: msg = _('VolumeType %s deletion failed, VolumeType in use.') % id LOG.error(msg) raise exception.VolumeTypeInUse(volume_type_id=id) model_query(context, models.VolumeTypes, session=session).\ filter_by(id=id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) model_query(context, models.VolumeTypeExtraSpecs, session=session).\ filter_by(volume_type_id=id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def volume_get_active_by_window(context, begin, end=None, project_id=None): """Return volumes that were active during window.""" query = model_query(context, models.Volume, read_deleted="yes") query = query.filter(or_(models.Volume.deleted_at == None, models.Volume.deleted_at > begin)) if end: query = query.filter(models.Volume.created_at < end) if project_id: query = query.filter_by(project_id=project_id) return query.all() #################### def _volume_type_extra_specs_query(context, volume_type_id, session=None): return model_query(context, models.VolumeTypeExtraSpecs, session=session, read_deleted="no").\ filter_by(volume_type_id=volume_type_id) @require_context def volume_type_extra_specs_get(context, volume_type_id): rows = _volume_type_extra_specs_query(context, volume_type_id).\ all() result = {} for row in rows: result[row['key']] = row['value'] return result @require_context def volume_type_extra_specs_delete(context, volume_type_id, key): session = get_session() with session.begin(): _volume_type_extra_specs_get_item(context, volume_type_id, key, session) _volume_type_extra_specs_query(context, volume_type_id, session).\ filter_by(key=key).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def _volume_type_extra_specs_get_item(context, volume_type_id, key, session=None): result = _volume_type_extra_specs_query( context, volume_type_id, session=session).\ filter_by(key=key).\ first() if not result: raise exception.VolumeTypeExtraSpecsNotFound( extra_specs_key=key, volume_type_id=volume_type_id) return result @require_context def volume_type_extra_specs_update_or_create(context, volume_type_id, specs): session = get_session() with session.begin(): spec_ref = None for key, value in specs.iteritems(): try: spec_ref = _volume_type_extra_specs_get_item( context, volume_type_id, key, session) except exception.VolumeTypeExtraSpecsNotFound: spec_ref = models.VolumeTypeExtraSpecs() spec_ref.update({"key": key, "value": value, "volume_type_id": volume_type_id, "deleted": False}) spec_ref.save(session=session) return specs #################### @require_admin_context def qos_specs_create(context, values): """Create a new QoS specs. :param values dictionary that contains specifications for QoS e.g. {'name': 'Name', 'qos_specs': { 'consumer': 'front-end', 'total_iops_sec': 1000, 'total_bytes_sec': 1024000 } } """ specs_id = str(uuid.uuid4()) session = get_session() with session.begin(): try: _qos_specs_get_by_name(context, values['name'], session) raise exception.QoSSpecsExists(specs_id=values['name']) except exception.QoSSpecsNotFound: pass try: # Insert a root entry for QoS specs specs_root = models.QualityOfServiceSpecs() root = dict(id=specs_id) # 'QoS_Specs_Name' is an internal reserved key to store # the name of QoS specs root['key'] = 'QoS_Specs_Name' root['value'] = values['name'] LOG.debug("DB qos_specs_create(): root %s", root) specs_root.update(root) specs_root.save(session=session) # Insert all specification entries for QoS specs for k, v in values['qos_specs'].iteritems(): item = dict(key=k, value=v, specs_id=specs_id) item['id'] = str(uuid.uuid4()) spec_entry = models.QualityOfServiceSpecs() spec_entry.update(item) spec_entry.save(session=session) except Exception as e: raise db_exc.DBError(e) return dict(id=specs_root.id, name=specs_root.value) @require_admin_context def _qos_specs_get_by_name(context, name, session=None, inactive=False): read_deleted = 'yes' if inactive else 'no' results = model_query(context, models.QualityOfServiceSpecs, read_deleted=read_deleted, session=session). \ filter_by(key='QoS_Specs_Name'). \ filter_by(value=name). \ options(joinedload('specs')).all() if not results: raise exception.QoSSpecsNotFound(specs_id=name) return results @require_admin_context def _qos_specs_get_ref(context, qos_specs_id, session=None, inactive=False): read_deleted = 'yes' if inactive else 'no' result = model_query(context, models.QualityOfServiceSpecs, read_deleted=read_deleted, session=session). \ filter_by(id=qos_specs_id). \ options(joinedload_all('specs')).all() if not result: raise exception.QoSSpecsNotFound(specs_id=qos_specs_id) return result def _dict_with_children_specs(specs): """Convert specs list to a dict.""" result = {} for spec in specs: # Skip deleted keys if not spec['deleted']: result.update({spec['key']: spec['value']}) return result def _dict_with_qos_specs(rows): """Convert qos specs query results to list. Qos specs query results are a list of quality_of_service_specs refs, some are root entry of a qos specs (key == 'QoS_Specs_Name') and the rest are children entry, a.k.a detailed specs for a qos specs. This function converts query results to a dict using spec name as key. """ result = [] for row in rows: if row['key'] == 'QoS_Specs_Name': member = {} member['name'] = row['value'] member.update(dict(id=row['id'])) if row.specs: spec_dict = _dict_with_children_specs(row.specs) member.update(dict(consumer=spec_dict['consumer'])) del spec_dict['consumer'] member.update(dict(specs=spec_dict)) result.append(member) return result @require_admin_context def qos_specs_get(context, qos_specs_id, inactive=False): rows = _qos_specs_get_ref(context, qos_specs_id, None, inactive) return _dict_with_qos_specs(rows)[0] @require_admin_context def qos_specs_get_all(context, inactive=False, filters=None): """Returns a list of all qos_specs. Results is like: [{ 'id': SPECS-UUID, 'name': 'qos_spec-1', 'consumer': 'back-end', 'specs': { 'key1': 'value1', 'key2': 'value2', ... } }, { 'id': SPECS-UUID, 'name': 'qos_spec-2', 'consumer': 'front-end', 'specs': { 'key1': 'value1', 'key2': 'value2', ... } }, ] """ filters = filters or {} #TODO(zhiteng) Add filters for 'consumer' read_deleted = "yes" if inactive else "no" rows = model_query(context, models.QualityOfServiceSpecs, read_deleted=read_deleted). \ options(joinedload_all('specs')).all() return _dict_with_qos_specs(rows) @require_admin_context def qos_specs_get_by_name(context, name, inactive=False): rows = _qos_specs_get_by_name(context, name, None, inactive) return _dict_with_qos_specs(rows)[0] @require_admin_context def qos_specs_associations_get(context, qos_specs_id): """Return all entities associated with specified qos specs. For now, the only entity that is possible to associate with a qos specs is volume type, so this is just a wrapper of volume_type_qos_associations_get(). But it's possible to extend qos specs association to other entities, such as volumes, sometime in future. """ # Raise QoSSpecsNotFound if no specs found _qos_specs_get_ref(context, qos_specs_id, None) return volume_type_qos_associations_get(context, qos_specs_id) @require_admin_context def qos_specs_associate(context, qos_specs_id, type_id): """Associate volume type from specified qos specs.""" return volume_type_qos_associate(context, type_id, qos_specs_id) @require_admin_context def qos_specs_disassociate(context, qos_specs_id, type_id): """Disassociate volume type from specified qos specs.""" return volume_type_qos_disassociate(context, qos_specs_id, type_id) @require_admin_context def qos_specs_disassociate_all(context, qos_specs_id): """Disassociate all entities associated with specified qos specs. For now, the only entity that is possible to associate with a qos specs is volume type, so this is just a wrapper of volume_type_qos_disassociate_all(). But it's possible to extend qos specs association to other entities, such as volumes, sometime in future. """ return volume_type_qos_disassociate_all(context, qos_specs_id) @require_admin_context def qos_specs_item_delete(context, qos_specs_id, key): session = get_session() with session.begin(): _qos_specs_get_item(context, qos_specs_id, key) session.query(models.QualityOfServiceSpecs). \ filter(models.QualityOfServiceSpecs.key == key). \ filter(models.QualityOfServiceSpecs.specs_id == qos_specs_id). \ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_admin_context def qos_specs_delete(context, qos_specs_id): session = get_session() with session.begin(): _qos_specs_get_ref(context, qos_specs_id, session) session.query(models.QualityOfServiceSpecs).\ filter(or_(models.QualityOfServiceSpecs.id == qos_specs_id, models.QualityOfServiceSpecs.specs_id == qos_specs_id)).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_admin_context def _qos_specs_get_item(context, qos_specs_id, key, session=None): result = model_query(context, models.QualityOfServiceSpecs, session=session). \ filter(models.QualityOfServiceSpecs.key == key). \ filter(models.QualityOfServiceSpecs.specs_id == qos_specs_id). \ first() if not result: raise exception.QoSSpecsKeyNotFound( specs_key=key, specs_id=qos_specs_id) return result @require_admin_context def qos_specs_update(context, qos_specs_id, specs): """Make updates to an existing qos specs. Perform add, update or delete key/values to a qos specs. """ session = get_session() with session.begin(): # make sure qos specs exists _qos_specs_get_ref(context, qos_specs_id, session) spec_ref = None for key in specs.keys(): try: spec_ref = _qos_specs_get_item( context, qos_specs_id, key, session) except exception.QoSSpecsKeyNotFound: spec_ref = models.QualityOfServiceSpecs() id = None if spec_ref.get('id', None): id = spec_ref['id'] else: id = str(uuid.uuid4()) value = dict(id=id, key=key, value=specs[key], specs_id=qos_specs_id, deleted=False) LOG.debug('qos_specs_update() value: %s' % value) spec_ref.update(value) spec_ref.save(session=session) return specs #################### @require_context def volume_type_encryption_get(context, volume_type_id, session=None): return model_query(context, models.Encryption, session=session, read_deleted="no").\ filter_by(volume_type_id=volume_type_id).first() @require_admin_context def volume_type_encryption_delete(context, volume_type_id): session = get_session() with session.begin(): encryption = volume_type_encryption_get(context, volume_type_id, session) encryption.update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_admin_context def volume_type_encryption_create(context, volume_type_id, values): session = get_session() with session.begin(): encryption = models.Encryption() if 'volume_type_id' not in values: values['volume_type_id'] = volume_type_id encryption.update(values) session.add(encryption) return encryption @require_admin_context def volume_type_encryption_update(context, volume_type_id, values): session = get_session() with session.begin(): encryption = volume_type_encryption_get(context, volume_type_id, session) if not encryption: raise exception.VolumeTypeEncryptionNotFound(type_id= volume_type_id) encryption.update(values) return encryption def volume_type_encryption_volume_get(context, volume_type_id, session=None): volume_list = _volume_get_query(context, session=session, project_only=False).\ filter_by(volume_type_id=volume_type_id).\ all() return volume_list #################### @require_context def volume_encryption_metadata_get(context, volume_id, session=None): """Return the encryption key id for a given volume.""" volume_ref = _volume_get(context, volume_id) encryption_ref = volume_type_encryption_get(context, volume_ref['volume_type_id']) return { 'encryption_key_id': volume_ref['encryption_key_id'], 'control_location': encryption_ref['control_location'], 'cipher': encryption_ref['cipher'], 'key_size': encryption_ref['key_size'], 'provider': encryption_ref['provider'], } #################### @require_context def _volume_glance_metadata_get_all(context, session=None): rows = model_query(context, models.VolumeGlanceMetadata, project_only=True, session=session).\ filter_by(deleted=False).\ all() return rows @require_context def volume_glance_metadata_get_all(context): """Return the Glance metadata for all volumes.""" return _volume_glance_metadata_get_all(context) @require_context @require_volume_exists def _volume_glance_metadata_get(context, volume_id, session=None): rows = model_query(context, models.VolumeGlanceMetadata, session=session).\ filter_by(volume_id=volume_id).\ filter_by(deleted=False).\ all() if not rows: raise exception.GlanceMetadataNotFound(id=volume_id) return rows @require_context @require_volume_exists def volume_glance_metadata_get(context, volume_id): """Return the Glance metadata for the specified volume.""" return _volume_glance_metadata_get(context, volume_id) @require_context @require_snapshot_exists def _volume_snapshot_glance_metadata_get(context, snapshot_id, session=None): rows = model_query(context, models.VolumeGlanceMetadata, session=session).\ filter_by(snapshot_id=snapshot_id).\ filter_by(deleted=False).\ all() if not rows: raise exception.GlanceMetadataNotFound(id=snapshot_id) return rows @require_context @require_snapshot_exists def volume_snapshot_glance_metadata_get(context, snapshot_id): """Return the Glance metadata for the specified snapshot.""" return _volume_snapshot_glance_metadata_get(context, snapshot_id) @require_context @require_volume_exists def volume_glance_metadata_create(context, volume_id, key, value): """Update the Glance metadata for a volume by adding a new key:value pair. This API does not support changing the value of a key once it has been created. """ session = get_session() with session.begin(): rows = session.query(models.VolumeGlanceMetadata).\ filter_by(volume_id=volume_id).\ filter_by(key=key).\ filter_by(deleted=False).all() if len(rows) > 0: raise exception.GlanceMetadataExists(key=key, volume_id=volume_id) vol_glance_metadata = models.VolumeGlanceMetadata() vol_glance_metadata.volume_id = volume_id vol_glance_metadata.key = key vol_glance_metadata.value = str(value) session.add(vol_glance_metadata) return @require_context @require_snapshot_exists def volume_glance_metadata_copy_to_snapshot(context, snapshot_id, volume_id): """Update the Glance metadata for a snapshot. This copies all of the key:value pairs from the originating volume, to ensure that a volume created from the snapshot will retain the original metadata. """ session = get_session() with session.begin(): metadata = _volume_glance_metadata_get(context, volume_id, session=session) for meta in metadata: vol_glance_metadata = models.VolumeGlanceMetadata() vol_glance_metadata.snapshot_id = snapshot_id vol_glance_metadata.key = meta['key'] vol_glance_metadata.value = meta['value'] vol_glance_metadata.save(session=session) @require_context @require_volume_exists def volume_glance_metadata_copy_from_volume_to_volume(context, src_volume_id, volume_id): """Update the Glance metadata for a volume. This copies all all of the key:value pairs from the originating volume, to ensure that a volume created from the volume (clone) will retain the original metadata. """ session = get_session() with session.begin(): metadata = _volume_glance_metadata_get(context, src_volume_id, session=session) for meta in metadata: vol_glance_metadata = models.VolumeGlanceMetadata() vol_glance_metadata.volume_id = volume_id vol_glance_metadata.key = meta['key'] vol_glance_metadata.value = meta['value'] vol_glance_metadata.save(session=session) @require_context @require_volume_exists def volume_glance_metadata_copy_to_volume(context, volume_id, snapshot_id): """Update the Glance metadata from a volume (created from a snapshot) by copying all of the key:value pairs from the originating snapshot. This is so that the Glance metadata from the original volume is retained. """ session = get_session() with session.begin(): metadata = _volume_snapshot_glance_metadata_get(context, snapshot_id, session=session) for meta in metadata: vol_glance_metadata = models.VolumeGlanceMetadata() vol_glance_metadata.volume_id = volume_id vol_glance_metadata.key = meta['key'] vol_glance_metadata.value = meta['value'] vol_glance_metadata.save(session=session) @require_context def volume_glance_metadata_delete_by_volume(context, volume_id): model_query(context, models.VolumeGlanceMetadata, read_deleted='no').\ filter_by(volume_id=volume_id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def volume_glance_metadata_delete_by_snapshot(context, snapshot_id): model_query(context, models.VolumeGlanceMetadata, read_deleted='no').\ filter_by(snapshot_id=snapshot_id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) ############################### @require_context def backup_get(context, backup_id): result = model_query(context, models.Backup, project_only=True).\ filter_by(id=backup_id).\ first() if not result: raise exception.BackupNotFound(backup_id=backup_id) return result def _backup_get_all(context, filters=None): session = get_session() with session.begin(): # Generate the query query = model_query(context, models.Backup) if filters: query = query.filter_by(**filters) return query.all() @require_admin_context def backup_get_all(context, filters=None): return _backup_get_all(context, filters) @require_admin_context def backup_get_all_by_host(context, host): return model_query(context, models.Backup).filter_by(host=host).all() @require_context def backup_get_all_by_project(context, project_id, filters=None): authorize_project_context(context, project_id) if not filters: filters = {} else: filters = filters.copy() filters['project_id'] = project_id return _backup_get_all(context, filters) @require_context def backup_create(context, values): backup = models.Backup() if not values.get('id'): values['id'] = str(uuid.uuid4()) backup.update(values) session = get_session() with session.begin(): backup.save(session) return backup @require_context def backup_update(context, backup_id, values): session = get_session() with session.begin(): backup = model_query(context, models.Backup, session=session, read_deleted="yes").\ filter_by(id=backup_id).first() if not backup: raise exception.BackupNotFound( _("No backup with id %s") % backup_id) backup.update(values) return backup @require_admin_context def backup_destroy(context, backup_id): model_query(context, models.Backup).\ filter_by(id=backup_id).\ update({'status': 'deleted', 'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) ############################### @require_context def _transfer_get(context, transfer_id, session=None): query = model_query(context, models.Transfer, session=session).\ filter_by(id=transfer_id) if not is_admin_context(context): volume = models.Volume query = query.filter(models.Transfer.volume_id == volume.id, volume.project_id == context.project_id) result = query.first() if not result: raise exception.TransferNotFound(transfer_id=transfer_id) return result @require_context def transfer_get(context, transfer_id): return _transfer_get(context, transfer_id) def _translate_transfers(transfers): results = [] for transfer in transfers: r = {} r['id'] = transfer['id'] r['volume_id'] = transfer['volume_id'] r['display_name'] = transfer['display_name'] r['created_at'] = transfer['created_at'] r['deleted'] = transfer['deleted'] results.append(r) return results @require_admin_context def transfer_get_all(context): results = model_query(context, models.Transfer).all() return _translate_transfers(results) @require_context def transfer_get_all_by_project(context, project_id): authorize_project_context(context, project_id) query = model_query(context, models.Transfer).\ filter(models.Volume.id == models.Transfer.volume_id, models.Volume.project_id == project_id) results = query.all() return _translate_transfers(results) @require_context def transfer_create(context, values): if not values.get('id'): values['id'] = str(uuid.uuid4()) session = get_session() with session.begin(): volume_ref = _volume_get(context, values['volume_id'], session=session) if volume_ref['status'] != 'available': msg = _('Volume must be available') LOG.error(msg) raise exception.InvalidVolume(reason=msg) volume_ref['status'] = 'awaiting-transfer' transfer = models.Transfer() transfer.update(values) session.add(transfer) volume_ref.update(volume_ref) return transfer @require_context def transfer_destroy(context, transfer_id): session = get_session() with session.begin(): transfer_ref = _transfer_get(context, transfer_id, session=session) volume_ref = _volume_get(context, transfer_ref['volume_id'], session=session) # If the volume state is not 'awaiting-transfer' don't change it, but # we can still mark the transfer record as deleted. if volume_ref['status'] != 'awaiting-transfer': msg = _('Volume in unexpected state %s, ' 'expected awaiting-transfer') % volume_ref['status'] LOG.error(msg) else: volume_ref['status'] = 'available' volume_ref.update(volume_ref) volume_ref.save(session=session) model_query(context, models.Transfer, session=session).\ filter_by(id=transfer_id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def transfer_accept(context, transfer_id, user_id, project_id): session = get_session() with session.begin(): transfer_ref = _transfer_get(context, transfer_id, session) volume_id = transfer_ref['volume_id'] volume_ref = _volume_get(context, volume_id, session=session) if volume_ref['status'] != 'awaiting-transfer': msg = _('Transfer %(transfer_id)s: Volume id %(volume_id)s in ' 'unexpected state %(status)s, expected ' 'awaiting-transfer') % {'transfer_id': transfer_id, 'volume_id': volume_ref['id'], 'status': volume_ref['status']} LOG.error(msg) raise exception.InvalidVolume(reason=msg) volume_ref['status'] = 'available' volume_ref['user_id'] = user_id volume_ref['project_id'] = project_id volume_ref['updated_at'] = literal_column('updated_at') volume_ref.update(volume_ref) session.query(models.Transfer).\ filter_by(id=transfer_ref['id']).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')})

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import sys import threading import uuid import warnings from oslo.config import cfg from sqlalchemy.exc import IntegrityError from sqlalchemy import or_ from sqlalchemy.orm import joinedload, joinedload_all from sqlalchemy.orm import RelationshipProperty from sqlalchemy.sql.expression import literal_column from sqlalchemy.sql import func from cinder.common import sqlalchemyutils from cinder.db.sqlalchemy import models from cinder import exception from cinder.openstack.common.db import exception as db_exc from cinder.openstack.common.db import options from cinder.openstack.common.db.sqlalchemy import session as db_session from cinder.openstack.common import log as logging from cinder.openstack.common import timeutils from cinder.openstack.common import uuidutils CONF = cfg.CONF LOG = logging.getLogger(__name__) options.set_defaults(sql_connection='sqlite:///$state_path/cinder.sqlite', sqlite_db='cinder.sqlite') _LOCK = threading.Lock() _FACADE = None def _create_facade_lazily(): global _LOCK with _LOCK: global _FACADE if _FACADE is None: _FACADE = db_session.EngineFacade( CONF.database.connection, **dict(CONF.database.iteritems()) ) return _FACADE def get_engine(): facade = _create_facade_lazily() return facade.get_engine() def get_session(**kwargs): facade = _create_facade_lazily() return facade.get_session(**kwargs) _DEFAULT_QUOTA_NAME = 'default' def get_backend(): return sys.modules[__name__] def is_admin_context(context): if not context: warnings.warn(_('Use of empty request context is deprecated'), DeprecationWarning) raise Exception('die') return context.is_admin def is_user_context(context): if not context: return False if context.is_admin: return False if not context.user_id or not context.project_id: return False return True def authorize_project_context(context, project_id): if is_user_context(context): if not context.project_id: raise exception.NotAuthorized() elif context.project_id != project_id: raise exception.NotAuthorized() def authorize_user_context(context, user_id): if is_user_context(context): if not context.user_id: raise exception.NotAuthorized() elif context.user_id != user_id: raise exception.NotAuthorized() def authorize_quota_class_context(context, class_name): if is_user_context(context): if not context.quota_class: raise exception.NotAuthorized() elif context.quota_class != class_name: raise exception.NotAuthorized() def require_admin_context(f): def wrapper(*args, **kwargs): if not is_admin_context(args[0]): raise exception.AdminRequired() return f(*args, **kwargs) return wrapper def require_context(f): def wrapper(*args, **kwargs): if not is_admin_context(args[0]) and not is_user_context(args[0]): raise exception.NotAuthorized() return f(*args, **kwargs) return wrapper def require_volume_exists(f): def wrapper(context, volume_id, *args, **kwargs): volume_get(context, volume_id) return f(context, volume_id, *args, **kwargs) wrapper.__name__ = f.__name__ return wrapper def require_snapshot_exists(f): def wrapper(context, snapshot_id, *args, **kwargs): snapshot_get(context, snapshot_id) return f(context, snapshot_id, *args, **kwargs) wrapper.__name__ = f.__name__ return wrapper def model_query(context, *args, **kwargs): session = kwargs.get('session') or get_session() read_deleted = kwargs.get('read_deleted') or context.read_deleted project_only = kwargs.get('project_only') query = session.query(*args) if read_deleted == 'no': query = query.filter_by(deleted=False) elif read_deleted == 'yes': pass elif read_deleted == 'only': query = query.filter_by(deleted=True) else: raise Exception( _("Unrecognized read_deleted value '%s'") % read_deleted) if project_only and is_user_context(context): query = query.filter_by(project_id=context.project_id) return query def _sync_volumes(context, project_id, session, volume_type_id=None, volume_type_name=None): (volumes, gigs) = _volume_data_get_for_project( context, project_id, volume_type_id=volume_type_id, session=session) key = 'volumes' if volume_type_name: key += '_' + volume_type_name return {key: volumes} def _sync_snapshots(context, project_id, session, volume_type_id=None, volume_type_name=None): (snapshots, gigs) = _snapshot_data_get_for_project( context, project_id, volume_type_id=volume_type_id, session=session) key = 'snapshots' if volume_type_name: key += '_' + volume_type_name return {key: snapshots} def _sync_gigabytes(context, project_id, session, volume_type_id=None, volume_type_name=None): (_junk, vol_gigs) = _volume_data_get_for_project( context, project_id, volume_type_id=volume_type_id, session=session) key = 'gigabytes' if volume_type_name: key += '_' + volume_type_name if CONF.no_snapshot_gb_quota: return {key: vol_gigs} (_junk, snap_gigs) = _snapshot_data_get_for_project( context, project_id, volume_type_id=volume_type_id, session=session) return {key: vol_gigs + snap_gigs} QUOTA_SYNC_FUNCTIONS = { '_sync_volumes': _sync_volumes, '_sync_snapshots': _sync_snapshots, '_sync_gigabytes': _sync_gigabytes, } ce_id, session=session) service_ref.delete(session=session) @require_admin_context def _service_get(context, service_id, session=None): result = model_query( context, models.Service, session=session).\ filter_by(id=service_id).\ first() if not result: raise exception.ServiceNotFound(service_id=service_id) return result @require_admin_context def service_get(context, service_id): return _service_get(context, service_id) @require_admin_context def service_get_all(context, disabled=None): query = model_query(context, models.Service) if disabled is not None: query = query.filter_by(disabled=disabled) return query.all() @require_admin_context def service_get_all_by_topic(context, topic, disabled=None): query = model_query( context, models.Service, read_deleted="no").\ filter_by(topic=topic) if disabled is not None: query = query.filter_by(disabled=disabled) return query.all() @require_admin_context def service_get_by_host_and_topic(context, host, topic): result = model_query( context, models.Service, read_deleted="no").\ filter_by(disabled=False).\ filter_by(host=host).\ filter_by(topic=topic).\ first() if not result: raise exception.ServiceNotFound(service_id=None) return result @require_admin_context def service_get_all_by_host(context, host): return model_query( context, models.Service, read_deleted="no").\ filter_by(host=host).\ all() @require_admin_context def _service_get_all_topic_subquery(context, session, topic, subq, label): sort_value = getattr(subq.c, label) return model_query(context, models.Service, func.coalesce(sort_value, 0), session=session, read_deleted="no").\ filter_by(topic=topic).\ filter_by(disabled=False).\ outerjoin((subq, models.Service.host == subq.c.host)).\ order_by(sort_value).\ all() @require_admin_context def service_get_all_volume_sorted(context): session = get_session() with session.begin(): topic = CONF.volume_topic label = 'volume_gigabytes' subq = model_query(context, models.Volume.host, func.sum(models.Volume.size).label(label), session=session, read_deleted="no").\ group_by(models.Volume.host).\ subquery() return _service_get_all_topic_subquery(context, session, topic, subq, label) @require_admin_context def service_get_by_args(context, host, binary): result = model_query(context, models.Service).\ filter_by(host=host).\ filter_by(binary=binary).\ first() if not result: raise exception.HostBinaryNotFound(host=host, binary=binary) return result @require_admin_context def service_create(context, values): service_ref = models.Service() service_ref.update(values) if not CONF.enable_new_services: service_ref.disabled = True session = get_session() with session.begin(): service_ref.save(session) return service_ref @require_admin_context def service_update(context, service_id, values): session = get_session() with session.begin(): service_ref = _service_get(context, service_id, session=session) service_ref.update(values) ta_class() metadata_ref['key'] = k metadata_ref['value'] = v metadata_refs.append(metadata_ref) return metadata_refs def _dict_with_extra_specs(inst_type_query): inst_type_dict = dict(inst_type_query) extra_specs = dict([(x['key'], x['value']) for x in inst_type_query['extra_specs']]) inst_type_dict['extra_specs'] = extra_specs return inst_type_dict () @require_admin_context def iscsi_target_create_safe(context, values): iscsi_target_ref = models.IscsiTarget() for (key, value) in values.iteritems(): iscsi_target_ref[key] = value session = get_session() with session.begin(): try: iscsi_target_ref.save(session) return iscsi_target_ref except IntegrityError: return None read_deleted="no").\ filter_by(project_id=project_id).\ filter_by(resource=resource).\ first() if not result: raise exception.ProjectQuotaNotFound(project_id=project_id) return result @require_context def quota_get(context, project_id, resource): return _quota_get(context, project_id, resource) @require_context def quota_get_all_by_project(context, project_id): authorize_project_context(context, project_id) rows = model_query(context, models.Quota, read_deleted="no").\ filter_by(project_id=project_id).\ all() result = {'project_id': project_id} for row in rows: result[row.resource] = row.hard_limit return result @require_admin_context def quota_create(context, project_id, resource, limit): quota_ref = models.Quota() quota_ref.project_id = project_id quota_ref.resource = resource quota_ref.hard_limit = limit session = get_session() with session.begin(): quota_ref.save(session) return quota_ref @require_admin_context def quota_update(context, project_id, resource, limit): session = get_session() with session.begin(): quota_ref = _quota_get(context, project_id, resource, session=session) quota_ref.hard_limit = limit @require_admin_context def quota_destroy(context, project_id, resource): session = get_session() with session.begin(): quota_ref = _quota_get(context, project_id, resource, session=session) quota_ref.delete(session=session) read_deleted="no").\ filter_by(class_name=class_name).\ filter_by(resource=resource).\ first() if not result: raise exception.QuotaClassNotFound(class_name=class_name) return result @require_context def quota_class_get(context, class_name, resource): return _quota_class_get(context, class_name, resource) def quota_class_get_default(context): rows = model_query(context, models.QuotaClass, read_deleted="no").\ filter_by(class_name=_DEFAULT_QUOTA_NAME).all() result = {'class_name': _DEFAULT_QUOTA_NAME} for row in rows: result[row.resource] = row.hard_limit return result @require_context def quota_class_get_all_by_name(context, class_name): authorize_quota_class_context(context, class_name) rows = model_query(context, models.QuotaClass, read_deleted="no").\ filter_by(class_name=class_name).\ all() result = {'class_name': class_name} for row in rows: result[row.resource] = row.hard_limit return result @require_admin_context def quota_class_create(context, class_name, resource, limit): quota_class_ref = models.QuotaClass() quota_class_ref.class_name = class_name quota_class_ref.resource = resource quota_class_ref.hard_limit = limit session = get_session() with session.begin(): quota_class_ref.save(session) return quota_class_ref @require_admin_context def quota_class_update(context, class_name, resource, limit): session = get_session() with session.begin(): quota_class_ref = _quota_class_get(context, class_name, resource, session=session) quota_class_ref.hard_limit = limit @require_admin_context def quota_class_destroy(context, class_name, resource): session = get_session() with session.begin(): quota_class_ref = _quota_class_get(context, class_name, resource, session=session) quota_class_ref.delete(session=session) @require_admin_context def quota_class_destroy_all_by_name(context, class_name): session = get_session() with session.begin(): quota_classes = model_query(context, models.QuotaClass, session=session, read_deleted="no").\ filter_by(class_name=class_name).\ all() for quota_class_ref in quota_classes: quota_class_ref.delete(session=session) _id=project_id).\ filter_by(resource=resource).\ first() if not result: raise exception.QuotaUsageNotFound(project_id=project_id) return result @require_context def quota_usage_get_all_by_project(context, project_id): authorize_project_context(context, project_id) rows = model_query(context, models.QuotaUsage, read_deleted="no").\ filter_by(project_id=project_id).\ all() result = {'project_id': project_id} for row in rows: result[row.resource] = dict(in_use=row.in_use, reserved=row.reserved) return result @require_admin_context def _quota_usage_create(context, project_id, resource, in_use, reserved, until_refresh, session=None): quota_usage_ref = models.QuotaUsage() quota_usage_ref.project_id = project_id quota_usage_ref.resource = resource quota_usage_ref.in_use = in_use quota_usage_ref.reserved = reserved quota_usage_ref.until_refresh = until_refresh quota_usage_ref.save(session=session) return quota_usage_ref reservation_ref.uuid = uuid reservation_ref.usage_id = usage['id'] reservation_ref.project_id = project_id reservation_ref.resource = resource reservation_ref.delta = delta reservation_ref.expire = expire reservation_ref.save(session=session) return reservation_ref _get_quota_usages(context, session, project_id): # Broken out for testability rows = model_query(context, models.QuotaUsage, read_deleted="no", session=session).\ filter_by(project_id=project_id).\ with_lockmode('update').\ all() return dict((row.resource, row) for row in rows) @require_context def quota_reserve(context, resources, quotas, deltas, expire, until_refresh, max_age, project_id=None): elevated = context.elevated() session = get_session() with session.begin(): if project_id is None: project_id = context.project_id # Get the current usages usages = _get_quota_usages(context, session, project_id) # Handle usage refresh work = set(deltas.keys()) while work: resource = work.pop() # Do we need to refresh the usage? refresh = False if resource not in usages: usages[resource] = _quota_usage_create(elevated, project_id, resource, 0, 0, until_refresh or None, session=session) refresh = True elif usages[resource].in_use < 0: # Negative in_use count indicates a desync, so try to # heal from that... refresh = True elif usages[resource].until_refresh is not None: usages[resource].until_refresh -= 1 if usages[resource].until_refresh <= 0: refresh = True elif max_age and usages[resource].updated_at is not None and ( (usages[resource].updated_at - timeutils.utcnow()).seconds >= max_age): refresh = True # OK, refresh the usage if refresh: # Grab the sync routine sync = QUOTA_SYNC_FUNCTIONS[resources[resource].sync] volume_type_id = getattr(resources[resource], 'volume_type_id', None) volume_type_name = getattr(resources[resource], 'volume_type_name', None) updates = sync(elevated, project_id, volume_type_id=volume_type_id, volume_type_name=volume_type_name, session=session) for res, in_use in updates.items(): # Make sure we have a destination for the usage! if res not in usages: usages[res] = _quota_usage_create( elevated, project_id, res, 0, 0, until_refresh or None, session=session ) # Update the usage usages[res].in_use = in_use usages[res].until_refresh = until_refresh or None # Because more than one resource may be refreshed # by the call to the sync routine, and we don't work.discard(res) # a best-effort mechanism. # Check for deltas that would go negative unders = [r for r, delta in deltas.items() if delta < 0 and delta + usages[r].in_use < 0] # Now, let's check the quotas # If a project has gone over quota, we want them to # be able to reduce their usage without any # problems. overs = [r for r, delta in deltas.items() if quotas[r] >= 0 and delta >= 0 and quotas[r] < delta + usages[r].total] # NOTE(Vek): The quota check needs to be in the transaction, # but the transaction doesn't fail just because # outside the transaction. If we did the raise # here, our usage updates would be discarded, but # they're not invalidated by being over-quota. if not overs: reservations = [] for resource, delta in deltas.items(): reservation = _reservation_create(elevated, str(uuid.uuid4()), usages[resource], project_id, resource, delta, expire, session=session) reservations.append(reservation.uuid) # worried about the following scenario: # # 1) User initiates resize down. # 2) User allocates a new instance. # 3) Resize down fails or is reverted. # 4) User is now over quota. # # To prevent this, we only update the # reserved value if the delta is positive. if delta > 0: usages[resource].reserved += delta if unders: LOG.warning(_("Change will make usage less than 0 for the following " "resources: %s") % unders) if overs: usages = dict((k, dict(in_use=v['in_use'], reserved=v['reserved'])) for k, v in usages.items()) raise exception.OverQuota(overs=sorted(overs), quotas=quotas, usages=usages) return reservations def _quota_reservations(session, context, reservations): # Get the listed reservations return model_query(context, models.Reservation, read_deleted="no", session=session).\ filter(models.Reservation.uuid.in_(reservations)).\ with_lockmode('update').\ all() @require_context def reservation_commit(context, reservations, project_id=None): session = get_session() with session.begin(): usages = _get_quota_usages(context, session, project_id) for reservation in _quota_reservations(session, context, reservations): usage = usages[reservation.resource] if reservation.delta >= 0: usage.reserved -= reservation.delta usage.in_use += reservation.delta reservation.delete(session=session) @require_context def reservation_rollback(context, reservations, project_id=None): session = get_session() with session.begin(): usages = _get_quota_usages(context, session, project_id) for reservation in _quota_reservations(session, context, reservations): usage = usages[reservation.resource] if reservation.delta >= 0: usage.reserved -= reservation.delta reservation.delete(session=session) @require_admin_context def quota_destroy_all_by_project(context, project_id): session = get_session() with session.begin(): quotas = model_query(context, models.Quota, session=session, read_deleted="no").\ filter_by(project_id=project_id).\ all() for quota_ref in quotas: quota_ref.delete(session=session) quota_usages = model_query(context, models.QuotaUsage, session=session, read_deleted="no").\ filter_by(project_id=project_id).\ all() for quota_usage_ref in quota_usages: quota_usage_ref.delete(session=session) reservations = model_query(context, models.Reservation, session=session, read_deleted="no").\ filter_by(project_id=project_id).\ all() for reservation_ref in reservations: reservation_ref.delete(session=session) @require_admin_context def reservation_expire(context): session = get_session() with session.begin(): current_time = timeutils.utcnow() results = model_query(context, models.Reservation, session=session, read_deleted="no").\ filter(models.Reservation.expire < current_time).\ all() if results: for reservation in results: if reservation.delta >= 0: reservation.usage.reserved -= reservation.delta reservation.usage.save(session=session) reservation.delete(session=session) ################### @require_admin_context def volume_allocate_iscsi_target(context, volume_id, host): session = get_session() with session.begin(): iscsi_target_ref = model_query(context, models.IscsiTarget, session=session, read_deleted="no").\ filter_by(volume=None).\ filter_by(host=host).\ with_lockmode('update').\ first() # NOTE(vish): if with_lockmode isn't supported, as in sqlite, if not iscsi_target_ref: raise exception.NoMoreTargets() iscsi_target_ref.volume_id = volume_id session.add(iscsi_target_ref) return iscsi_target_ref.target_num @require_admin_context def volume_attached(context, volume_id, instance_uuid, host_name, mountpoint): if instance_uuid and not uuidutils.is_uuid_like(instance_uuid): raise exception.InvalidUUID(uuid=instance_uuid) session = get_session() with session.begin(): volume_ref = _volume_get(context, volume_id, session=session) volume_ref['status'] = 'in-use' volume_ref['mountpoint'] = mountpoint volume_ref['attach_status'] = 'attached' volume_ref['instance_uuid'] = instance_uuid volume_ref['attached_host'] = host_name return volume_ref @require_context def volume_create(context, values): values['volume_metadata'] = _metadata_refs(values.get('metadata'), models.VolumeMetadata) if is_admin_context(context): values['volume_admin_metadata'] = \ _metadata_refs(values.get('admin_metadata'), models.VolumeAdminMetadata) elif values.get('volume_admin_metadata'): del values['volume_admin_metadata'] volume_ref = models.Volume() if not values.get('id'): values['id'] = str(uuid.uuid4()) volume_ref.update(values) session = get_session() with session.begin(): session.add(volume_ref) return _volume_get(context, values['id'], session=session) @require_admin_context def volume_data_get_for_host(context, host, count_only=False): if count_only: result = model_query(context, func.count(models.Volume.id), read_deleted="no").\ filter_by(host=host).\ first() return result[0] or 0 else: result = model_query(context, func.count(models.Volume.id), func.sum(models.Volume.size), read_deleted="no").\ filter_by(host=host).\ first() return (result[0] or 0, result[1] or 0) @require_admin_context def _volume_data_get_for_project(context, project_id, volume_type_id=None, session=None): query = model_query(context, func.count(models.Volume.id), func.sum(models.Volume.size), read_deleted="no", session=session).\ filter_by(project_id=project_id) if volume_type_id: query = query.filter_by(volume_type_id=volume_type_id) result = query.first() return (result[0] or 0, result[1] or 0) @require_admin_context def volume_data_get_for_project(context, project_id, volume_type_id=None): return _volume_data_get_for_project(context, project_id, volume_type_id) @require_admin_context def finish_volume_migration(context, src_vol_id, dest_vol_id): session = get_session() with session.begin(): src_volume_ref = _volume_get(context, src_vol_id, session=session) dest_volume_ref = _volume_get(context, dest_vol_id, session=session) def is_column(inst, attr): return attr in inst.__class__.__table__.columns for key, value in dest_volume_ref.iteritems(): if key == 'id' or not is_column(dest_volume_ref, key): continue elif key == 'migration_status': value = None elif key == '_name_id': value = dest_volume_ref['_name_id'] or dest_volume_ref['id'] setattr(src_volume_ref, key, value) @require_admin_context def volume_destroy(context, volume_id): session = get_session() now = timeutils.utcnow() with session.begin(): model_query(context, models.Volume, session=session).\ filter_by(id=volume_id).\ update({'status': 'deleted', 'deleted': True, 'deleted_at': now, 'updated_at': literal_column('updated_at')}) model_query(context, models.IscsiTarget, session=session).\ filter_by(volume_id=volume_id).\ update({'volume_id': None}) model_query(context, models.VolumeMetadata, session=session).\ filter_by(volume_id=volume_id).\ update({'deleted': True, 'deleted_at': now, 'updated_at': literal_column('updated_at')}) model_query(context, models.VolumeAdminMetadata, session=session).\ filter_by(volume_id=volume_id).\ update({'deleted': True, 'deleted_at': now, 'updated_at': literal_column('updated_at')}) model_query(context, models.Transfer, session=session).\ filter_by(volume_id=volume_id).\ update({'deleted': True, 'deleted_at': now, 'updated_at': literal_column('updated_at')}) @require_admin_context def volume_detached(context, volume_id): session = get_session() with session.begin(): volume_ref = _volume_get(context, volume_id, session=session) if not volume_ref['migration_status']: volume_ref['status'] = 'available' volume_ref['mountpoint'] = None volume_ref['attach_status'] = 'detached' volume_ref['instance_uuid'] = None volume_ref['attached_host'] = None volume_ref['attach_time'] = None @require_context def _volume_get_query(context, session=None, project_only=False): if is_admin_context(context): return model_query(context, models.Volume, session=session, project_only=project_only).\ options(joinedload('volume_metadata')).\ options(joinedload('volume_admin_metadata')).\ options(joinedload('volume_type')) else: return model_query(context, models.Volume, session=session, project_only=project_only).\ options(joinedload('volume_metadata')).\ options(joinedload('volume_type')) @require_context def _volume_get(context, volume_id, session=None): result = _volume_get_query(context, session=session, project_only=True).\ filter_by(id=volume_id).\ first() if not result: raise exception.VolumeNotFound(volume_id=volume_id) return result @require_context def volume_get(context, volume_id): return _volume_get(context, volume_id) @require_admin_context def volume_get_all(context, marker, limit, sort_key, sort_dir, filters=None): session = get_session() with session.begin(): # Generate the query query = _generate_paginate_query(context, session, marker, limit, sort_key, sort_dir, filters) # No volumes would match, return empty list if query == None: return [] return query.all() @require_admin_context def volume_get_all_by_host(context, host): return _volume_get_query(context).filter_by(host=host).all() @require_context def volume_get_all_by_project(context, project_id, marker, limit, sort_key, sort_dir, filters=None): session = get_session() with session.begin(): authorize_project_context(context, project_id) # Add in the project filter without modifying the given filters filters = filters.copy() if filters else {} filters['project_id'] = project_id # Generate the query query = _generate_paginate_query(context, session, marker, limit, sort_key, sort_dir, filters) # No volumes would match, return empty list if query == None: return [] return query.all() def _generate_paginate_query(context, session, marker, limit, sort_key, sort_dir, filters): query = _volume_get_query(context, session=session) if filters: filters = filters.copy() # 'no_migration_targets' is unique, must be either NULL or # not start with 'target:' if ('no_migration_targets' in filters and filters['no_migration_targets'] == True): filters.pop('no_migration_targets') try: column_attr = getattr(models.Volume, 'migration_status') conditions = [column_attr == None, column_attr.op('NOT LIKE')('target:%')] query = query.filter(or_(*conditions)) except AttributeError: log_msg = _("'migration_status' column could not be found.") LOG.debug(log_msg) return None # Apply exact match filters for everything else, ensure that the # filter value exists on the model for key in filters.keys(): # metadata is unique, must be a dict if key == 'metadata': if not isinstance(filters[key], dict): log_msg = _("'metadata' filter value is not valid.") LOG.debug(log_msg) return None continue try: column_attr = getattr(models.Volume, key) # Do not allow relationship properties since those require # schema specific knowledge prop = getattr(column_attr, 'property') if isinstance(prop, RelationshipProperty): log_msg = (_("'%s' filter key is not valid, " "it maps to a relationship.")) % key LOG.debug(log_msg) return None except AttributeError: log_msg = _("'%s' filter key is not valid.") % key LOG.debug(log_msg) return None # Holds the simple exact matches filter_dict = {} # Iterate over all filters, special case the filter is necessary for key, value in filters.iteritems(): if key == 'metadata': # model.VolumeMetadata defines the backref to Volumes as # 'volume_metadata' or 'volume_admin_metadata', use those as # column attribute keys col_attr = getattr(models.Volume, 'volume_metadata') col_ad_attr = getattr(models.Volume, 'volume_admin_metadata') for k, v in value.iteritems(): query = query.filter(or_(col_attr.any(key=k, value=v), col_ad_attr.any(key=k, value=v))) elif isinstance(value, (list, tuple, set, frozenset)): # Looking for values in a list; apply to query directly column_attr = getattr(models.Volume, key) query = query.filter(column_attr.in_(value)) else: # OK, simple exact match; save for later filter_dict[key] = value # Apply simple exact matches if filter_dict: query = query.filter_by(**filter_dict) marker_volume = None if marker is not None: marker_volume = _volume_get(context, marker, session) return sqlalchemyutils.paginate_query(query, models.Volume, limit, [sort_key, 'created_at', 'id'], marker=marker_volume, sort_dir=sort_dir) @require_admin_context def volume_get_iscsi_target_num(context, volume_id): result = model_query(context, models.IscsiTarget, read_deleted="yes").\ filter_by(volume_id=volume_id).\ first() if not result: raise exception.ISCSITargetNotFoundForVolume(volume_id=volume_id) return result.target_num @require_context def volume_update(context, volume_id, values): session = get_session() with session.begin(): metadata = values.get('metadata') if metadata is not None: _volume_user_metadata_update(context, volume_id, values.pop('metadata'), delete=True, session=session) admin_metadata = values.get('admin_metadata') if is_admin_context(context) and admin_metadata is not None: _volume_admin_metadata_update(context, volume_id, values.pop('admin_metadata'), delete=True, session=session) volume_ref = _volume_get(context, volume_id, session=session) volume_ref.update(values) return volume_ref #################### def _volume_x_metadata_get_query(context, volume_id, model, session=None): return model_query(context, model, session=session, read_deleted="no").\ filter_by(volume_id=volume_id) def _volume_x_metadata_get(context, volume_id, model, session=None): rows = _volume_x_metadata_get_query(context, volume_id, model, session=session).all() result = {} for row in rows: result[row['key']] = row['value'] return result def _volume_x_metadata_get_item(context, volume_id, key, model, notfound_exec, session=None): result = _volume_x_metadata_get_query(context, volume_id, model, session=session).\ filter_by(key=key).\ first() if not result: raise notfound_exec(metadata_key=key, volume_id=volume_id) return result def _volume_x_metadata_update(context, volume_id, metadata, delete, model, notfound_exec, session=None): if not session: session = get_session() with session.begin(subtransactions=True): # Set existing metadata to deleted if delete argument is True if delete: original_metadata = _volume_x_metadata_get(context, volume_id, model, session=session) for meta_key, meta_value in original_metadata.iteritems(): if meta_key not in metadata: meta_ref = _volume_x_metadata_get_item(context, volume_id, meta_key, model, notfound_exec, session=session) meta_ref.update({'deleted': True}) meta_ref.save(session=session) meta_ref = None # Now update all existing items with new values, or create new meta # objects for meta_key, meta_value in metadata.items(): # update the value whether it exists or not item = {"value": meta_value} try: meta_ref = _volume_x_metadata_get_item(context, volume_id, meta_key, model, notfound_exec, session=session) except notfound_exec: meta_ref = model() item.update({"key": meta_key, "volume_id": volume_id}) meta_ref.update(item) meta_ref.save(session=session) return _volume_x_metadata_get(context, volume_id, model) def _volume_user_metadata_get_query(context, volume_id, session=None): return _volume_x_metadata_get_query(context, volume_id, models.VolumeMetadata, session=session) @require_context @require_volume_exists def _volume_user_metadata_get(context, volume_id, session=None): return _volume_x_metadata_get(context, volume_id, models.VolumeMetadata, session=session) @require_context def _volume_user_metadata_get_item(context, volume_id, key, session=None): return _volume_x_metadata_get_item(context, volume_id, key, models.VolumeMetadata, exception.VolumeMetadataNotFound, session=session) @require_context @require_volume_exists def _volume_user_metadata_update(context, volume_id, metadata, delete, session=None): return _volume_x_metadata_update(context, volume_id, metadata, delete, models.VolumeMetadata, exception.VolumeMetadataNotFound, session=session) @require_context @require_volume_exists def volume_metadata_get_item(context, volume_id, key): return _volume_user_metadata_get_item(context, volume_id, key) @require_context @require_volume_exists def volume_metadata_get(context, volume_id): return _volume_user_metadata_get(context, volume_id) @require_context @require_volume_exists def volume_metadata_delete(context, volume_id, key): _volume_user_metadata_get_query(context, volume_id).\ filter_by(key=key).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context @require_volume_exists def volume_metadata_update(context, volume_id, metadata, delete): return _volume_user_metadata_update(context, volume_id, metadata, delete) ################### def _volume_admin_metadata_get_query(context, volume_id, session=None): return _volume_x_metadata_get_query(context, volume_id, models.VolumeAdminMetadata, session=session) @require_admin_context @require_volume_exists def _volume_admin_metadata_get(context, volume_id, session=None): return _volume_x_metadata_get(context, volume_id, models.VolumeAdminMetadata, session=session) @require_admin_context @require_volume_exists def _volume_admin_metadata_update(context, volume_id, metadata, delete, session=None): return _volume_x_metadata_update(context, volume_id, metadata, delete, models.VolumeAdminMetadata, exception.VolumeAdminMetadataNotFound, session=session) @require_admin_context @require_volume_exists def volume_admin_metadata_get(context, volume_id): return _volume_admin_metadata_get(context, volume_id) @require_admin_context @require_volume_exists def volume_admin_metadata_delete(context, volume_id, key): _volume_admin_metadata_get_query(context, volume_id).\ filter_by(key=key).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_admin_context @require_volume_exists def volume_admin_metadata_update(context, volume_id, metadata, delete): return _volume_admin_metadata_update(context, volume_id, metadata, delete) ################### @require_context def snapshot_create(context, values): values['snapshot_metadata'] = _metadata_refs(values.get('metadata'), models.SnapshotMetadata) if not values.get('id'): values['id'] = str(uuid.uuid4()) session = get_session() with session.begin(): snapshot_ref = models.Snapshot() snapshot_ref.update(values) session.add(snapshot_ref) return _snapshot_get(context, values['id'], session=session) @require_admin_context def snapshot_destroy(context, snapshot_id): session = get_session() with session.begin(): model_query(context, models.Snapshot, session=session).\ filter_by(id=snapshot_id).\ update({'status': 'deleted', 'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) model_query(context, models.SnapshotMetadata, session=session).\ filter_by(snapshot_id=snapshot_id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def _snapshot_get(context, snapshot_id, session=None): result = model_query(context, models.Snapshot, session=session, project_only=True).\ options(joinedload('volume')).\ options(joinedload('snapshot_metadata')).\ filter_by(id=snapshot_id).\ first() if not result: raise exception.SnapshotNotFound(snapshot_id=snapshot_id) return result @require_context def snapshot_get(context, snapshot_id): return _snapshot_get(context, snapshot_id) @require_admin_context def snapshot_get_all(context): return model_query(context, models.Snapshot).\ options(joinedload('snapshot_metadata')).\ all() @require_context def snapshot_get_all_for_volume(context, volume_id): return model_query(context, models.Snapshot, read_deleted='no', project_only=True).\ filter_by(volume_id=volume_id).\ options(joinedload('snapshot_metadata')).\ all() @require_context def snapshot_get_all_by_project(context, project_id): authorize_project_context(context, project_id) return model_query(context, models.Snapshot).\ filter_by(project_id=project_id).\ options(joinedload('snapshot_metadata')).\ all() @require_context def _snapshot_data_get_for_project(context, project_id, volume_type_id=None, session=None): authorize_project_context(context, project_id) query = model_query(context, func.count(models.Snapshot.id), func.sum(models.Snapshot.volume_size), read_deleted="no", session=session).\ filter_by(project_id=project_id) if volume_type_id: query = query.join('volume').filter_by(volume_type_id=volume_type_id) result = query.first() # NOTE(vish): convert None to 0 return (result[0] or 0, result[1] or 0) @require_context def snapshot_data_get_for_project(context, project_id, volume_type_id=None): return _snapshot_data_get_for_project(context, project_id, volume_type_id) @require_context def snapshot_get_active_by_window(context, begin, end=None, project_id=None): query = model_query(context, models.Snapshot, read_deleted="yes") query = query.filter(or_(models.Snapshot.deleted_at == None, models.Snapshot.deleted_at > begin)) query = query.options(joinedload(models.Snapshot.volume)) if end: query = query.filter(models.Snapshot.created_at < end) if project_id: query = query.filter_by(project_id=project_id) return query.all() @require_context def snapshot_update(context, snapshot_id, values): session = get_session() with session.begin(): snapshot_ref = _snapshot_get(context, snapshot_id, session=session) snapshot_ref.update(values) #################### def _snapshot_metadata_get_query(context, snapshot_id, session=None): return model_query(context, models.SnapshotMetadata, session=session, read_deleted="no").\ filter_by(snapshot_id=snapshot_id) @require_context @require_snapshot_exists def _snapshot_metadata_get(context, snapshot_id, session=None): rows = _snapshot_metadata_get_query(context, snapshot_id, session).all() result = {} for row in rows: result[row['key']] = row['value'] return result @require_context @require_snapshot_exists def snapshot_metadata_get(context, snapshot_id): return _snapshot_metadata_get(context, snapshot_id) @require_context @require_snapshot_exists def snapshot_metadata_delete(context, snapshot_id, key): _snapshot_metadata_get_query(context, snapshot_id).\ filter_by(key=key).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def _snapshot_metadata_get_item(context, snapshot_id, key, session=None): result = _snapshot_metadata_get_query(context, snapshot_id, session=session).\ filter_by(key=key).\ first() if not result: raise exception.SnapshotMetadataNotFound(metadata_key=key, snapshot_id=snapshot_id) return result @require_context @require_snapshot_exists def snapshot_metadata_update(context, snapshot_id, metadata, delete): session = get_session() with session.begin(): # Set existing metadata to deleted if delete argument is True if delete: original_metadata = _snapshot_metadata_get(context, snapshot_id, session) for meta_key, meta_value in original_metadata.iteritems(): if meta_key not in metadata: meta_ref = _snapshot_metadata_get_item(context, snapshot_id, meta_key, session) meta_ref.update({'deleted': True}) meta_ref.save(session=session) meta_ref = None # Now update all existing items with new values, or create new meta # objects for meta_key, meta_value in metadata.items(): # update the value whether it exists or not item = {"value": meta_value} try: meta_ref = _snapshot_metadata_get_item(context, snapshot_id, meta_key, session) except exception.SnapshotMetadataNotFound: meta_ref = models.SnapshotMetadata() item.update({"key": meta_key, "snapshot_id": snapshot_id}) meta_ref.update(item) meta_ref.save(session=session) return snapshot_metadata_get(context, snapshot_id) ################### @require_admin_context def volume_type_create(context, values): if not values.get('id'): values['id'] = str(uuid.uuid4()) session = get_session() with session.begin(): try: _volume_type_get_by_name(context, values['name'], session) raise exception.VolumeTypeExists(id=values['name']) except exception.VolumeTypeNotFoundByName: pass try: _volume_type_get(context, values['id'], session) raise exception.VolumeTypeExists(id=values['id']) except exception.VolumeTypeNotFound: pass try: values['extra_specs'] = _metadata_refs(values.get('extra_specs'), models.VolumeTypeExtraSpecs) volume_type_ref = models.VolumeTypes() volume_type_ref.update(values) session.add(volume_type_ref) except Exception as e: raise db_exc.DBError(e) return volume_type_ref @require_context def volume_type_get_all(context, inactive=False, filters=None): filters = filters or {} read_deleted = "yes" if inactive else "no" rows = model_query(context, models.VolumeTypes, read_deleted=read_deleted).\ options(joinedload('extra_specs')).\ order_by("name").\ all() result = {} for row in rows: result[row['name']] = _dict_with_extra_specs(row) return result @require_context def _volume_type_get(context, id, session=None, inactive=False): read_deleted = "yes" if inactive else "no" result = model_query(context, models.VolumeTypes, session=session, read_deleted=read_deleted).\ options(joinedload('extra_specs')).\ filter_by(id=id).\ first() if not result: raise exception.VolumeTypeNotFound(volume_type_id=id) return _dict_with_extra_specs(result) @require_context def volume_type_get(context, id, inactive=False): return _volume_type_get(context, id, None, inactive) @require_context def _volume_type_get_by_name(context, name, session=None): result = model_query(context, models.VolumeTypes, session=session).\ options(joinedload('extra_specs')).\ filter_by(name=name).\ first() if not result: raise exception.VolumeTypeNotFoundByName(volume_type_name=name) else: return _dict_with_extra_specs(result) @require_context def volume_type_get_by_name(context, name): return _volume_type_get_by_name(context, name) @require_admin_context def volume_type_qos_associations_get(context, qos_specs_id, inactive=False): read_deleted = "yes" if inactive else "no" return model_query(context, models.VolumeTypes, read_deleted=read_deleted). \ filter_by(qos_specs_id=qos_specs_id).all() @require_admin_context def volume_type_qos_associate(context, type_id, qos_specs_id): session = get_session() with session.begin(): _volume_type_get(context, type_id, session) session.query(models.VolumeTypes). \ filter_by(id=type_id). \ update({'qos_specs_id': qos_specs_id, 'updated_at': timeutils.utcnow()}) @require_admin_context def volume_type_qos_disassociate(context, qos_specs_id, type_id): session = get_session() with session.begin(): _volume_type_get(context, type_id, session) session.query(models.VolumeTypes). \ filter_by(id=type_id). \ filter_by(qos_specs_id=qos_specs_id). \ update({'qos_specs_id': None, 'updated_at': timeutils.utcnow()}) @require_admin_context def volume_type_qos_disassociate_all(context, qos_specs_id): session = get_session() with session.begin(): session.query(models.VolumeTypes). \ filter_by(qos_specs_id=qos_specs_id). \ update({'qos_specs_id': None, 'updated_at': timeutils.utcnow()}) @require_admin_context def volume_type_qos_specs_get(context, type_id): session = get_session() with session.begin(): _volume_type_get(context, type_id, session) row = session.query(models.VolumeTypes). \ options(joinedload('qos_specs')). \ filter_by(id=type_id). \ first() # row.qos_specs is a list of QualityOfServiceSpecs ref specs = _dict_with_qos_specs(row.qos_specs) if not specs: # turn empty list to None specs = None else: specs = specs[0] return {'qos_specs': specs} @require_admin_context def volume_type_destroy(context, id): session = get_session() with session.begin(): _volume_type_get(context, id, session) results = model_query(context, models.Volume, session=session). \ filter_by(volume_type_id=id).all() if results: msg = _('VolumeType %s deletion failed, VolumeType in use.') % id LOG.error(msg) raise exception.VolumeTypeInUse(volume_type_id=id) model_query(context, models.VolumeTypes, session=session).\ filter_by(id=id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) model_query(context, models.VolumeTypeExtraSpecs, session=session).\ filter_by(volume_type_id=id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def volume_get_active_by_window(context, begin, end=None, project_id=None): query = model_query(context, models.Volume, read_deleted="yes") query = query.filter(or_(models.Volume.deleted_at == None, models.Volume.deleted_at > begin)) if end: query = query.filter(models.Volume.created_at < end) if project_id: query = query.filter_by(project_id=project_id) return query.all() #################### def _volume_type_extra_specs_query(context, volume_type_id, session=None): return model_query(context, models.VolumeTypeExtraSpecs, session=session, read_deleted="no").\ filter_by(volume_type_id=volume_type_id) @require_context def volume_type_extra_specs_get(context, volume_type_id): rows = _volume_type_extra_specs_query(context, volume_type_id).\ all() result = {} for row in rows: result[row['key']] = row['value'] return result @require_context def volume_type_extra_specs_delete(context, volume_type_id, key): session = get_session() with session.begin(): _volume_type_extra_specs_get_item(context, volume_type_id, key, session) _volume_type_extra_specs_query(context, volume_type_id, session).\ filter_by(key=key).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def _volume_type_extra_specs_get_item(context, volume_type_id, key, session=None): result = _volume_type_extra_specs_query( context, volume_type_id, session=session).\ filter_by(key=key).\ first() if not result: raise exception.VolumeTypeExtraSpecsNotFound( extra_specs_key=key, volume_type_id=volume_type_id) return result @require_context def volume_type_extra_specs_update_or_create(context, volume_type_id, specs): session = get_session() with session.begin(): spec_ref = None for key, value in specs.iteritems(): try: spec_ref = _volume_type_extra_specs_get_item( context, volume_type_id, key, session) except exception.VolumeTypeExtraSpecsNotFound: spec_ref = models.VolumeTypeExtraSpecs() spec_ref.update({"key": key, "value": value, "volume_type_id": volume_type_id, "deleted": False}) spec_ref.save(session=session) return specs #################### @require_admin_context def qos_specs_create(context, values): specs_id = str(uuid.uuid4()) session = get_session() with session.begin(): try: _qos_specs_get_by_name(context, values['name'], session) raise exception.QoSSpecsExists(specs_id=values['name']) except exception.QoSSpecsNotFound: pass try: # Insert a root entry for QoS specs specs_root = models.QualityOfServiceSpecs() root = dict(id=specs_id) # 'QoS_Specs_Name' is an internal reserved key to store # the name of QoS specs root['key'] = 'QoS_Specs_Name' root['value'] = values['name'] LOG.debug("DB qos_specs_create(): root %s", root) specs_root.update(root) specs_root.save(session=session) # Insert all specification entries for QoS specs for k, v in values['qos_specs'].iteritems(): item = dict(key=k, value=v, specs_id=specs_id) item['id'] = str(uuid.uuid4()) spec_entry = models.QualityOfServiceSpecs() spec_entry.update(item) spec_entry.save(session=session) except Exception as e: raise db_exc.DBError(e) return dict(id=specs_root.id, name=specs_root.value) @require_admin_context def _qos_specs_get_by_name(context, name, session=None, inactive=False): read_deleted = 'yes' if inactive else 'no' results = model_query(context, models.QualityOfServiceSpecs, read_deleted=read_deleted, session=session). \ filter_by(key='QoS_Specs_Name'). \ filter_by(value=name). \ options(joinedload('specs')).all() if not results: raise exception.QoSSpecsNotFound(specs_id=name) return results @require_admin_context def _qos_specs_get_ref(context, qos_specs_id, session=None, inactive=False): read_deleted = 'yes' if inactive else 'no' result = model_query(context, models.QualityOfServiceSpecs, read_deleted=read_deleted, session=session). \ filter_by(id=qos_specs_id). \ options(joinedload_all('specs')).all() if not result: raise exception.QoSSpecsNotFound(specs_id=qos_specs_id) return result def _dict_with_children_specs(specs): result = {} for spec in specs: # Skip deleted keys if not spec['deleted']: result.update({spec['key']: spec['value']}) return result def _dict_with_qos_specs(rows): result = [] for row in rows: if row['key'] == 'QoS_Specs_Name': member = {} member['name'] = row['value'] member.update(dict(id=row['id'])) if row.specs: spec_dict = _dict_with_children_specs(row.specs) member.update(dict(consumer=spec_dict['consumer'])) del spec_dict['consumer'] member.update(dict(specs=spec_dict)) result.append(member) return result @require_admin_context def qos_specs_get(context, qos_specs_id, inactive=False): rows = _qos_specs_get_ref(context, qos_specs_id, None, inactive) return _dict_with_qos_specs(rows)[0] @require_admin_context def qos_specs_get_all(context, inactive=False, filters=None): filters = filters or {} #TODO(zhiteng) Add filters for 'consumer' read_deleted = "yes" if inactive else "no" rows = model_query(context, models.QualityOfServiceSpecs, read_deleted=read_deleted). \ options(joinedload_all('specs')).all() return _dict_with_qos_specs(rows) @require_admin_context def qos_specs_get_by_name(context, name, inactive=False): rows = _qos_specs_get_by_name(context, name, None, inactive) return _dict_with_qos_specs(rows)[0] @require_admin_context def qos_specs_associations_get(context, qos_specs_id): # Raise QoSSpecsNotFound if no specs found _qos_specs_get_ref(context, qos_specs_id, None) return volume_type_qos_associations_get(context, qos_specs_id) @require_admin_context def qos_specs_associate(context, qos_specs_id, type_id): return volume_type_qos_associate(context, type_id, qos_specs_id) @require_admin_context def qos_specs_disassociate(context, qos_specs_id, type_id): return volume_type_qos_disassociate(context, qos_specs_id, type_id) @require_admin_context def qos_specs_disassociate_all(context, qos_specs_id): return volume_type_qos_disassociate_all(context, qos_specs_id) @require_admin_context def qos_specs_item_delete(context, qos_specs_id, key): session = get_session() with session.begin(): _qos_specs_get_item(context, qos_specs_id, key) session.query(models.QualityOfServiceSpecs). \ filter(models.QualityOfServiceSpecs.key == key). \ filter(models.QualityOfServiceSpecs.specs_id == qos_specs_id). \ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_admin_context def qos_specs_delete(context, qos_specs_id): session = get_session() with session.begin(): _qos_specs_get_ref(context, qos_specs_id, session) session.query(models.QualityOfServiceSpecs).\ filter(or_(models.QualityOfServiceSpecs.id == qos_specs_id, models.QualityOfServiceSpecs.specs_id == qos_specs_id)).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_admin_context def _qos_specs_get_item(context, qos_specs_id, key, session=None): result = model_query(context, models.QualityOfServiceSpecs, session=session). \ filter(models.QualityOfServiceSpecs.key == key). \ filter(models.QualityOfServiceSpecs.specs_id == qos_specs_id). \ first() if not result: raise exception.QoSSpecsKeyNotFound( specs_key=key, specs_id=qos_specs_id) return result @require_admin_context def qos_specs_update(context, qos_specs_id, specs): session = get_session() with session.begin(): # make sure qos specs exists _qos_specs_get_ref(context, qos_specs_id, session) spec_ref = None for key in specs.keys(): try: spec_ref = _qos_specs_get_item( context, qos_specs_id, key, session) except exception.QoSSpecsKeyNotFound: spec_ref = models.QualityOfServiceSpecs() id = None if spec_ref.get('id', None): id = spec_ref['id'] else: id = str(uuid.uuid4()) value = dict(id=id, key=key, value=specs[key], specs_id=qos_specs_id, deleted=False) LOG.debug('qos_specs_update() value: %s' % value) spec_ref.update(value) spec_ref.save(session=session) return specs #################### @require_context def volume_type_encryption_get(context, volume_type_id, session=None): return model_query(context, models.Encryption, session=session, read_deleted="no").\ filter_by(volume_type_id=volume_type_id).first() @require_admin_context def volume_type_encryption_delete(context, volume_type_id): session = get_session() with session.begin(): encryption = volume_type_encryption_get(context, volume_type_id, session) encryption.update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_admin_context def volume_type_encryption_create(context, volume_type_id, values): session = get_session() with session.begin(): encryption = models.Encryption() if 'volume_type_id' not in values: values['volume_type_id'] = volume_type_id encryption.update(values) session.add(encryption) return encryption @require_admin_context def volume_type_encryption_update(context, volume_type_id, values): session = get_session() with session.begin(): encryption = volume_type_encryption_get(context, volume_type_id, session) if not encryption: raise exception.VolumeTypeEncryptionNotFound(type_id= volume_type_id) encryption.update(values) return encryption def volume_type_encryption_volume_get(context, volume_type_id, session=None): volume_list = _volume_get_query(context, session=session, project_only=False).\ filter_by(volume_type_id=volume_type_id).\ all() return volume_list #################### @require_context def volume_encryption_metadata_get(context, volume_id, session=None): volume_ref = _volume_get(context, volume_id) encryption_ref = volume_type_encryption_get(context, volume_ref['volume_type_id']) return { 'encryption_key_id': volume_ref['encryption_key_id'], 'control_location': encryption_ref['control_location'], 'cipher': encryption_ref['cipher'], 'key_size': encryption_ref['key_size'], 'provider': encryption_ref['provider'], } #################### @require_context def _volume_glance_metadata_get_all(context, session=None): rows = model_query(context, models.VolumeGlanceMetadata, project_only=True, session=session).\ filter_by(deleted=False).\ all() return rows @require_context def volume_glance_metadata_get_all(context): return _volume_glance_metadata_get_all(context) @require_context @require_volume_exists def _volume_glance_metadata_get(context, volume_id, session=None): rows = model_query(context, models.VolumeGlanceMetadata, session=session).\ filter_by(volume_id=volume_id).\ filter_by(deleted=False).\ all() if not rows: raise exception.GlanceMetadataNotFound(id=volume_id) return rows @require_context @require_volume_exists def volume_glance_metadata_get(context, volume_id): return _volume_glance_metadata_get(context, volume_id) @require_context @require_snapshot_exists def _volume_snapshot_glance_metadata_get(context, snapshot_id, session=None): rows = model_query(context, models.VolumeGlanceMetadata, session=session).\ filter_by(snapshot_id=snapshot_id).\ filter_by(deleted=False).\ all() if not rows: raise exception.GlanceMetadataNotFound(id=snapshot_id) return rows @require_context @require_snapshot_exists def volume_snapshot_glance_metadata_get(context, snapshot_id): return _volume_snapshot_glance_metadata_get(context, snapshot_id) @require_context @require_volume_exists def volume_glance_metadata_create(context, volume_id, key, value): session = get_session() with session.begin(): rows = session.query(models.VolumeGlanceMetadata).\ filter_by(volume_id=volume_id).\ filter_by(key=key).\ filter_by(deleted=False).all() if len(rows) > 0: raise exception.GlanceMetadataExists(key=key, volume_id=volume_id) vol_glance_metadata = models.VolumeGlanceMetadata() vol_glance_metadata.volume_id = volume_id vol_glance_metadata.key = key vol_glance_metadata.value = str(value) session.add(vol_glance_metadata) return @require_context @require_snapshot_exists def volume_glance_metadata_copy_to_snapshot(context, snapshot_id, volume_id): session = get_session() with session.begin(): metadata = _volume_glance_metadata_get(context, volume_id, session=session) for meta in metadata: vol_glance_metadata = models.VolumeGlanceMetadata() vol_glance_metadata.snapshot_id = snapshot_id vol_glance_metadata.key = meta['key'] vol_glance_metadata.value = meta['value'] vol_glance_metadata.save(session=session) @require_context @require_volume_exists def volume_glance_metadata_copy_from_volume_to_volume(context, src_volume_id, volume_id): session = get_session() with session.begin(): metadata = _volume_glance_metadata_get(context, src_volume_id, session=session) for meta in metadata: vol_glance_metadata = models.VolumeGlanceMetadata() vol_glance_metadata.volume_id = volume_id vol_glance_metadata.key = meta['key'] vol_glance_metadata.value = meta['value'] vol_glance_metadata.save(session=session) @require_context @require_volume_exists def volume_glance_metadata_copy_to_volume(context, volume_id, snapshot_id): session = get_session() with session.begin(): metadata = _volume_snapshot_glance_metadata_get(context, snapshot_id, session=session) for meta in metadata: vol_glance_metadata = models.VolumeGlanceMetadata() vol_glance_metadata.volume_id = volume_id vol_glance_metadata.key = meta['key'] vol_glance_metadata.value = meta['value'] vol_glance_metadata.save(session=session) @require_context def volume_glance_metadata_delete_by_volume(context, volume_id): model_query(context, models.VolumeGlanceMetadata, read_deleted='no').\ filter_by(volume_id=volume_id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def volume_glance_metadata_delete_by_snapshot(context, snapshot_id): model_query(context, models.VolumeGlanceMetadata, read_deleted='no').\ filter_by(snapshot_id=snapshot_id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) ############################### @require_context def backup_get(context, backup_id): result = model_query(context, models.Backup, project_only=True).\ filter_by(id=backup_id).\ first() if not result: raise exception.BackupNotFound(backup_id=backup_id) return result def _backup_get_all(context, filters=None): session = get_session() with session.begin(): # Generate the query query = model_query(context, models.Backup) if filters: query = query.filter_by(**filters) return query.all() @require_admin_context def backup_get_all(context, filters=None): return _backup_get_all(context, filters) @require_admin_context def backup_get_all_by_host(context, host): return model_query(context, models.Backup).filter_by(host=host).all() @require_context def backup_get_all_by_project(context, project_id, filters=None): authorize_project_context(context, project_id) if not filters: filters = {} else: filters = filters.copy() filters['project_id'] = project_id return _backup_get_all(context, filters) @require_context def backup_create(context, values): backup = models.Backup() if not values.get('id'): values['id'] = str(uuid.uuid4()) backup.update(values) session = get_session() with session.begin(): backup.save(session) return backup @require_context def backup_update(context, backup_id, values): session = get_session() with session.begin(): backup = model_query(context, models.Backup, session=session, read_deleted="yes").\ filter_by(id=backup_id).first() if not backup: raise exception.BackupNotFound( _("No backup with id %s") % backup_id) backup.update(values) return backup @require_admin_context def backup_destroy(context, backup_id): model_query(context, models.Backup).\ filter_by(id=backup_id).\ update({'status': 'deleted', 'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) ############################### @require_context def _transfer_get(context, transfer_id, session=None): query = model_query(context, models.Transfer, session=session).\ filter_by(id=transfer_id) if not is_admin_context(context): volume = models.Volume query = query.filter(models.Transfer.volume_id == volume.id, volume.project_id == context.project_id) result = query.first() if not result: raise exception.TransferNotFound(transfer_id=transfer_id) return result @require_context def transfer_get(context, transfer_id): return _transfer_get(context, transfer_id) def _translate_transfers(transfers): results = [] for transfer in transfers: r = {} r['id'] = transfer['id'] r['volume_id'] = transfer['volume_id'] r['display_name'] = transfer['display_name'] r['created_at'] = transfer['created_at'] r['deleted'] = transfer['deleted'] results.append(r) return results @require_admin_context def transfer_get_all(context): results = model_query(context, models.Transfer).all() return _translate_transfers(results) @require_context def transfer_get_all_by_project(context, project_id): authorize_project_context(context, project_id) query = model_query(context, models.Transfer).\ filter(models.Volume.id == models.Transfer.volume_id, models.Volume.project_id == project_id) results = query.all() return _translate_transfers(results) @require_context def transfer_create(context, values): if not values.get('id'): values['id'] = str(uuid.uuid4()) session = get_session() with session.begin(): volume_ref = _volume_get(context, values['volume_id'], session=session) if volume_ref['status'] != 'available': msg = _('Volume must be available') LOG.error(msg) raise exception.InvalidVolume(reason=msg) volume_ref['status'] = 'awaiting-transfer' transfer = models.Transfer() transfer.update(values) session.add(transfer) volume_ref.update(volume_ref) return transfer @require_context def transfer_destroy(context, transfer_id): session = get_session() with session.begin(): transfer_ref = _transfer_get(context, transfer_id, session=session) volume_ref = _volume_get(context, transfer_ref['volume_id'], session=session) # If the volume state is not 'awaiting-transfer' don't change it, but if volume_ref['status'] != 'awaiting-transfer': msg = _('Volume in unexpected state %s, ' 'expected awaiting-transfer') % volume_ref['status'] LOG.error(msg) else: volume_ref['status'] = 'available' volume_ref.update(volume_ref) volume_ref.save(session=session) model_query(context, models.Transfer, session=session).\ filter_by(id=transfer_id).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')}) @require_context def transfer_accept(context, transfer_id, user_id, project_id): session = get_session() with session.begin(): transfer_ref = _transfer_get(context, transfer_id, session) volume_id = transfer_ref['volume_id'] volume_ref = _volume_get(context, volume_id, session=session) if volume_ref['status'] != 'awaiting-transfer': msg = _('Transfer %(transfer_id)s: Volume id %(volume_id)s in ' 'unexpected state %(status)s, expected ' 'awaiting-transfer') % {'transfer_id': transfer_id, 'volume_id': volume_ref['id'], 'status': volume_ref['status']} LOG.error(msg) raise exception.InvalidVolume(reason=msg) volume_ref['status'] = 'available' volume_ref['user_id'] = user_id volume_ref['project_id'] = project_id volume_ref['updated_at'] = literal_column('updated_at') volume_ref.update(volume_ref) session.query(models.Transfer).\ filter_by(id=transfer_ref['id']).\ update({'deleted': True, 'deleted_at': timeutils.utcnow(), 'updated_at': literal_column('updated_at')})

true

f7fc0950f532996818715ae4a45773b3897aa6b0

1,480

py

Python

_mod_Community/mod_autolife.py

tianlunjiang/_NukeStudio_v2

5ed9b9217aff16d903bdcda5c2f1e1cd3bebe367

[ "CNRI-Python" ]

6

2019-08-27T01:30:15.000Z

2020-11-17T00:40:01.000Z

_mod_Community/mod_autolife.py

tianlunjiang/_NukeMods

47861bfc273262abba55b9f9a61782a5d89479b1

[ "CNRI-Python" ]

2

2019-01-22T04:09:28.000Z

2019-01-23T15:11:39.000Z

_mod_Community/mod_autolife.py

tianlunjiang/_NukeMods

47861bfc273262abba55b9f9a61782a5d89479b1

[ "CNRI-Python" ]

1

2020-08-03T22:43:23.000Z

import nuke elements = [] def getElements(layer): for element in layer: if isinstance(element, nuke.rotopaint.Layer): getElements(element) elif isinstance(element, nuke.rotopaint.Stroke) or isinstance(element, nuke.rotopaint.Shape): elements.append(element) return elements def autolife(): n = nuke.selectedNode() node_curve = n['curves'] nlayer = node_curve.rootLayer global elements # Clear global elements array so that only the current Roto/Rotopaint node's elements are 'autolifed' elements = [] getElements(nlayer) selNode = None try: selNode = nuke.selectedNode() selXpos = selNode.xpos() selYpos = selNode.ypos() except ValueError: # no node selected pass for element in selNode['curves'].getSelected(): # Get keyframes for the 0-indexed control point if isinstance(element, nuke.rotopaint.Stroke): keys = element[0].getControlPointKeyTimes() elif isinstance(element, nuke.rotopaint.Shape): keys = element[0].center.getControlPointKeyTimes() firstKey = keys[0] lastKey = keys[-1] attrs = element.getAttributes() attrs.set('ltn', firstKey) # frame range 'from' value attrs.set('ltm', lastKey) # frame range 'to' value attrs.set('ltt', 4) # set 'lifetime type' of element to 'frame range' - index 4 in combobox node_curve.changed()

30.833333

105

0.641892

import nuke elements = [] def getElements(layer): for element in layer: if isinstance(element, nuke.rotopaint.Layer): getElements(element) elif isinstance(element, nuke.rotopaint.Stroke) or isinstance(element, nuke.rotopaint.Shape): elements.append(element) return elements def autolife(): n = nuke.selectedNode() node_curve = n['curves'] nlayer = node_curve.rootLayer global elements elements = [] getElements(nlayer) selNode = None try: selNode = nuke.selectedNode() selXpos = selNode.xpos() selYpos = selNode.ypos() except ValueError: # no node selected pass for element in selNode['curves'].getSelected(): # Get keyframes for the 0-indexed control point if isinstance(element, nuke.rotopaint.Stroke): keys = element[0].getControlPointKeyTimes() elif isinstance(element, nuke.rotopaint.Shape): keys = element[0].center.getControlPointKeyTimes() firstKey = keys[0] lastKey = keys[-1] attrs = element.getAttributes() attrs.set('ltn', firstKey) # frame range 'from' value attrs.set('ltm', lastKey) # frame range 'to' value attrs.set('ltt', 4) # set 'lifetime type' of element to 'frame range' - index 4 in combobox node_curve.changed()

true

f7fc0a4725a095c886d107cd492aaa611a8fffff

1,019

py

Python

tests/test_custom_extension.py

avsolatorio/pyscaffoldext-dsproject-vscode

7bcdc63be6cf638c2da8b291c1e21d3199fbbd35

[ "MIT" ]

null

tests/test_custom_extension.py

avsolatorio/pyscaffoldext-dsproject-vscode

7bcdc63be6cf638c2da8b291c1e21d3199fbbd35

[ "MIT" ]

null

tests/test_custom_extension.py

avsolatorio/pyscaffoldext-dsproject-vscode

7bcdc63be6cf638c2da8b291c1e21d3199fbbd35

[ "MIT" ]

null

# -*- coding: utf-8 -*- from os.path import exists as path_exists from pyscaffold.api import create_project from pyscaffold.cli import parse_args, process_opts from pyscaffold.utils import chdir EXT_FLAG = "--dsproject-vscode" FLAKE8 = "flake8 --max-line-length=88" def test_add_custom_extension(tmpfolder): args = [EXT_FLAG, "my_project", "-p", "my_package"] opts = parse_args(args) opts = process_opts(opts) create_project(opts) assert path_exists("my_project/src/my_package/__init__.py") def test_generated_extension_flake8(tmpfolder, venv_run): args = [EXT_FLAG, "my_project"] opts = parse_args(args) opts = process_opts(opts) create_project(opts) with chdir("my_project"): assert "" == venv_run(FLAKE8) venv_run("python setup.py install") venv_run("putup {ext_flag} the_actual_project".format(ext_flag=EXT_FLAG)) assert path_exists("the_actual_project/setup.cfg") with chdir("the_actual_project"): assert "" == venv_run(FLAKE8)

28.305556

77

0.716389

from os.path import exists as path_exists from pyscaffold.api import create_project from pyscaffold.cli import parse_args, process_opts from pyscaffold.utils import chdir EXT_FLAG = "--dsproject-vscode" FLAKE8 = "flake8 --max-line-length=88" def test_add_custom_extension(tmpfolder): args = [EXT_FLAG, "my_project", "-p", "my_package"] opts = parse_args(args) opts = process_opts(opts) create_project(opts) assert path_exists("my_project/src/my_package/__init__.py") def test_generated_extension_flake8(tmpfolder, venv_run): args = [EXT_FLAG, "my_project"] opts = parse_args(args) opts = process_opts(opts) create_project(opts) with chdir("my_project"): assert "" == venv_run(FLAKE8) venv_run("python setup.py install") venv_run("putup {ext_flag} the_actual_project".format(ext_flag=EXT_FLAG)) assert path_exists("the_actual_project/setup.cfg") with chdir("the_actual_project"): assert "" == venv_run(FLAKE8)

true

f7fc0c72c7a8f1374faddee57195721f59d95ae7

4,782

py

Python

atlas/atlas_dns.py

USC-NSL/ripe-atlas

9c512b0660923779031ec62909bc13bccace5890

[ "MIT" ]

4

2015-09-17T18:22:36.000Z

2016-03-11T21:00:57.000Z

atlas/atlas_dns.py

USC-NSL/ripe-atlas

9c512b0660923779031ec62909bc13bccace5890

[ "MIT" ]

null

atlas/atlas_dns.py

USC-NSL/ripe-atlas

9c512b0660923779031ec62909bc13bccace5890

[ "MIT" ]

null

#!/usr/bin/python from atlas import measure_baseclass from measure_baseclass import MeasurementBase from measure_baseclass import load_input, readkey, process_response from measure_baseclass import SLEEP_TIME import sys import traceback import socket import time class DNS(MeasurementBase): def __init__(self, query_class, query_type, query_arg, target, key, probe_list=None, sess=None): super(DNS, self).__init__(target, key, probe_list, sess) self.measurement_type = 'dns' self.query_class = query_class self.query_type = query_type self.query_arg = target def setup_definitions(self): definitions = super(DNS, self).setup_definitions() definitions['query_class'] = self.query_class definitions['query_type'] = self.query_type if self.query_arg: # if not None definitions['query_argument'] = self.query_arg #redundant definitions['use_probe_resolver'] = definitions['resolve_on_probe'] return definitions def config_argparser(): parser = measure_baseclass.config_argparser() parser.add_argument('--query-class', default=['IN'], nargs=1, help='Must be "IN" or "CHAOS" (Default: "IN")') parser.add_argument('--query-type', default=['A'], nargs=1, help='"A", "AAAA", "PTR", ... (Default: "A")') parser.add_argument('--query-arg', default=['None'], nargs=1, help='DNS Resolver to use. (Default: Use probe\'s resolver') parser.add_argument('--protocol', default=['UDP'], nargs=1, help='Must be "TCP" or "UDP" (Default: "UDP")') return parser if __name__ == '__main__': parser = config_argparser() args = parser.parse_args() try: key_file = args.key_file[0] key = readkey(key_file) #read in Atlas API key except: sys.stderr.write('Error reading key file at %s\n' % key_file) sys.exit(1) target_dict = load_input(args.target_list[0]) outfile = args.meas_id_output[0] ipv6 = args.ipv6 description = args.description[0] repeating = args.repeats[0] resolve_on_probe = not args.dont_resolve_on_probe is_public = args.private if not target_dict: sys.stderr.write('No targets defined\n') sys.exit(1) query_class = args.query_class[0] query_type = args.query_type[0] query_arg = args.query_arg[0] #should do arg validation here... try: outf = open(outfile, 'w') i = 0 target_list = target_dict.keys() while i < len(target_list): try: target = target_list[i] probe_list = target_dict[target] """ The maxmimum number of probes per requet is 500 so we need to break this is up into several requests. """ probe_list_chunks = [probe_list[x:x+500] for x in xrange(0, len(probe_list), 500)] j = 0 #for probe_list_chunk in probe_list_chunks: while j < len(probe_list_chunks): probe_list_chunk = probe_list_chunks[j] dns = DNS(query_class, query_type, query_arg, target, key, probe_list=probe_list_chunk) dns.resolve_on_probe = resolve_on_probe dns.is_public = is_public dns.description = description dns.af = 4 if not ipv6 else 6 dns.is_oneoff = True if repeating == 0 else False if not dns.is_oneoff: dns.interval = repeating #set the repeating interval response = dns.run() status, result = process_response(response) if status == 'error': sys.stderr.write('Request got error %s. Sleeping for %d seconds\n' % (result, SLEEP_TIME)) time.sleep(SLEEP_TIME) continue #try again else: #on success measurement_list = result measurement_list_str = map(str, measurement_list) outstr = '\n'.join(measurement_list_str) outf.write(outstr+'\n') print(outstr) j += 1 #only increment on success i += 1 except socket.error: sys.stderr.write('Got network error. Going to sleep for %d seconds\n' % SLEEP_TIME) traceback.print_exc(file=sys.stderr) time.sleep(SLEEP_TIME) except: sys.stderr.write('Got error making DNS request\n') traceback.print_exc(file=sys.stderr) finally: outf.close()

37.952381

126

0.584483

from atlas import measure_baseclass from measure_baseclass import MeasurementBase from measure_baseclass import load_input, readkey, process_response from measure_baseclass import SLEEP_TIME import sys import traceback import socket import time class DNS(MeasurementBase): def __init__(self, query_class, query_type, query_arg, target, key, probe_list=None, sess=None): super(DNS, self).__init__(target, key, probe_list, sess) self.measurement_type = 'dns' self.query_class = query_class self.query_type = query_type self.query_arg = target def setup_definitions(self): definitions = super(DNS, self).setup_definitions() definitions['query_class'] = self.query_class definitions['query_type'] = self.query_type if self.query_arg: definitions['query_argument'] = self.query_arg definitions['use_probe_resolver'] = definitions['resolve_on_probe'] return definitions def config_argparser(): parser = measure_baseclass.config_argparser() parser.add_argument('--query-class', default=['IN'], nargs=1, help='Must be "IN" or "CHAOS" (Default: "IN")') parser.add_argument('--query-type', default=['A'], nargs=1, help='"A", "AAAA", "PTR", ... (Default: "A")') parser.add_argument('--query-arg', default=['None'], nargs=1, help='DNS Resolver to use. (Default: Use probe\'s resolver') parser.add_argument('--protocol', default=['UDP'], nargs=1, help='Must be "TCP" or "UDP" (Default: "UDP")') return parser if __name__ == '__main__': parser = config_argparser() args = parser.parse_args() try: key_file = args.key_file[0] key = readkey(key_file) #read in Atlas API key except: sys.stderr.write('Error reading key file at %s\n' % key_file) sys.exit(1) target_dict = load_input(args.target_list[0]) outfile = args.meas_id_output[0] ipv6 = args.ipv6 description = args.description[0] repeating = args.repeats[0] resolve_on_probe = not args.dont_resolve_on_probe is_public = args.private if not target_dict: sys.stderr.write('No targets defined\n') sys.exit(1) query_class = args.query_class[0] query_type = args.query_type[0] query_arg = args.query_arg[0] #should do arg validation here... try: outf = open(outfile, 'w') i = 0 target_list = target_dict.keys() while i < len(target_list): try: target = target_list[i] probe_list = target_dict[target] probe_list_chunks = [probe_list[x:x+500] for x in xrange(0, len(probe_list), 500)] j = 0 #for probe_list_chunk in probe_list_chunks: while j < len(probe_list_chunks): probe_list_chunk = probe_list_chunks[j] dns = DNS(query_class, query_type, query_arg, target, key, probe_list=probe_list_chunk) dns.resolve_on_probe = resolve_on_probe dns.is_public = is_public dns.description = description dns.af = 4 if not ipv6 else 6 dns.is_oneoff = True if repeating == 0 else False if not dns.is_oneoff: dns.interval = repeating #set the repeating interval response = dns.run() status, result = process_response(response) if status == 'error': sys.stderr.write('Request got error %s. Sleeping for %d seconds\n' % (result, SLEEP_TIME)) time.sleep(SLEEP_TIME) continue #try again else: #on success measurement_list = result measurement_list_str = map(str, measurement_list) outstr = '\n'.join(measurement_list_str) outf.write(outstr+'\n') print(outstr) j += 1 #only increment on success i += 1 except socket.error: sys.stderr.write('Got network error. Going to sleep for %d seconds\n' % SLEEP_TIME) traceback.print_exc(file=sys.stderr) time.sleep(SLEEP_TIME) except: sys.stderr.write('Got error making DNS request\n') traceback.print_exc(file=sys.stderr) finally: outf.close()

true

f7fc0cf2769e76c35b091e4f41c21048caae6a71

2,041

py

Python

kaznet/apps/main/serializers/base.py

onaio/kaznet-web

53da428d5e62e40c5d38d84c3f3ee06071dd779b

[ "Apache-2.0" ]

1

2019-10-03T12:18:15.000Z

kaznet/apps/main/serializers/base.py

onaio/kaznet-web

53da428d5e62e40c5d38d84c3f3ee06071dd779b

[ "Apache-2.0" ]

63

2018-10-31T12:57:36.000Z

2020-04-27T20:18:22.000Z

kaznet/apps/main/serializers/base.py

onaio/kaznet-web

53da428d5e62e40c5d38d84c3f3ee06071dd779b

[ "Apache-2.0" ]

3

2019-08-05T09:10:03.000Z

2020-01-05T21:24:49.000Z

""" Kaznet Base Serializers """ from rest_framework_json_api import serializers from tasking.common_tags import TARGET_DOES_NOT_EXIST from tasking.utils import get_allowed_contenttypes def validate_parent_field(instance, value): """ Check if parent field is valid """ return instance is not None and value != instance # pylint: disable=too-many-ancestors class ContentTypeFieldSerializer(serializers.ModelSerializer): """ Serializer class that provides a contenty_type field """ target_content_type = serializers.PrimaryKeyRelatedField( many=False, queryset=get_allowed_contenttypes()) # pylint: disable=too-many-ancestors class GenericForeignKeySerializer(ContentTypeFieldSerializer): """ Serializer class that provides fields and methods for dealing with generic foreign keys """ target_id = serializers.IntegerField( source='target_object_id', required=False) def validate(self, attrs): """ Validate target id """ if self.instance is not None: # we are doing an update target_id = attrs.get( 'target_object_id', self.instance.target_object_id) target_model_contenttype = attrs.get( 'target_content_type', self.instance.target_content_type) else: # we are creating a new object target_id = attrs.get('target_object_id') target_model_contenttype = attrs.get('target_content_type') # Target_id is not required as such this may be none # If target_id is none there is no need to validate it if target_id is not None: target_model_class = target_model_contenttype.model_class() try: target_model_class.objects.get(pk=target_id) except target_model_class.DoesNotExist: raise serializers.ValidationError( {'target_id': TARGET_DOES_NOT_EXIST} ) return attrs return attrs

31.890625

73

0.66781

from rest_framework_json_api import serializers from tasking.common_tags import TARGET_DOES_NOT_EXIST from tasking.utils import get_allowed_contenttypes def validate_parent_field(instance, value): return instance is not None and value != instance class ContentTypeFieldSerializer(serializers.ModelSerializer): target_content_type = serializers.PrimaryKeyRelatedField( many=False, queryset=get_allowed_contenttypes()) class GenericForeignKeySerializer(ContentTypeFieldSerializer): target_id = serializers.IntegerField( source='target_object_id', required=False) def validate(self, attrs): if self.instance is not None: target_id = attrs.get( 'target_object_id', self.instance.target_object_id) target_model_contenttype = attrs.get( 'target_content_type', self.instance.target_content_type) else: target_id = attrs.get('target_object_id') target_model_contenttype = attrs.get('target_content_type') if target_id is not None: target_model_class = target_model_contenttype.model_class() try: target_model_class.objects.get(pk=target_id) except target_model_class.DoesNotExist: raise serializers.ValidationError( {'target_id': TARGET_DOES_NOT_EXIST} ) return attrs return attrs

true

f7fc0dc92871ec17b2b85221a909d14b9068417a

625

py

Python

shapes/line.py

MustafaTheCoder/OpenCV-Cheat-Sheet

437c00c84d6699052f025ac0470d719b0d298723

[ "MIT" ]

3

2021-09-19T06:46:04.000Z

2021-11-06T14:53:47.000Z

shapes/line.py

MustafaTheCoder/OpenCV-Cheat-Sheet

437c00c84d6699052f025ac0470d719b0d298723

[ "MIT" ]

null

shapes/line.py

MustafaTheCoder/OpenCV-Cheat-Sheet

437c00c84d6699052f025ac0470d719b0d298723

[ "MIT" ]

null

import cv2 import numpy as np img = np.zeros((512,512,3), np.uint8) """ Now as you can see this concept is a little bit difficult to understand but lets break it into pieces the first parameter here is the image that will be used to draw a line on, the second paramenter is the start point of the line, the third paramenter is the ending point of the line, after it the forth parameter is the color of the line, and the last one is the thickness of the line (Not Important) """ cv2.line(img, (0,0), (300,300), (255, 0, 0), 5) # Displaying the output cv2.imshow("Output", img) # Adding delay to the image cv2.waitKey(0)

32.894737

92

0.7328

import cv2 import numpy as np img = np.zeros((512,512,3), np.uint8) cv2.line(img, (0,0), (300,300), (255, 0, 0), 5) cv2.imshow("Output", img) cv2.waitKey(0)

true

f7fc0e60585325deef5de41d52e1cbcbb0235606

2,046

py

Python

xknx/io/request_response/tunnelling.py

gr0vity-dev/xknx

d19e343166c6bcd4ebb02f91eef57e98d9735c0c

[ "MIT" ]

null

xknx/io/request_response/tunnelling.py

gr0vity-dev/xknx

d19e343166c6bcd4ebb02f91eef57e98d9735c0c

[ "MIT" ]

null

xknx/io/request_response/tunnelling.py

gr0vity-dev/xknx

d19e343166c6bcd4ebb02f91eef57e98d9735c0c

[ "MIT" ]

null

"""Abstraction to send a TunnelingRequest and wait for TunnelingResponse.""" from __future__ import annotations from typing import TYPE_CHECKING from xknx.knxip import ( CEMIFrame, CEMIMessageCode, KNXIPFrame, TunnellingAck, TunnellingRequest, ) from .request_response import RequestResponse if TYPE_CHECKING: from xknx.io.udp_client import UDPClient from xknx.telegram import IndividualAddress, Telegram from xknx.xknx import XKNX class Tunnelling(RequestResponse): """Class to TunnelingRequest and wait for TunnelingResponse.""" def __init__( self, xknx: XKNX, udp_client: UDPClient, data_endpoint: tuple[str, int] | None, telegram: Telegram, src_address: IndividualAddress, sequence_counter: int, communication_channel_id: int, ): """Initialize Tunnelling class.""" self.xknx = xknx self.udp_client = udp_client self.data_endpoint_addr = data_endpoint self.src_address = src_address super().__init__(xknx, self.udp_client, TunnellingAck) self.telegram = telegram self.sequence_counter = sequence_counter self.communication_channel_id = communication_channel_id async def send_request(self) -> None: """Build knxipframe (within derived class) and send via UDP.""" self.udpclient.send(self.create_knxipframe(), addr=self.data_endpoint_addr) def create_knxipframe(self) -> KNXIPFrame: """Create KNX/IP Frame object to be sent to device.""" cemi = CEMIFrame.init_from_telegram( self.xknx, telegram=self.telegram, code=CEMIMessageCode.L_DATA_REQ, src_addr=self.src_address, ) tunnelling_request = TunnellingRequest( self.xknx, communication_channel_id=self.communication_channel_id, sequence_counter=self.sequence_counter, cemi=cemi, ) return KNXIPFrame.init_from_body(tunnelling_request)

31

83

0.677419

from __future__ import annotations from typing import TYPE_CHECKING from xknx.knxip import ( CEMIFrame, CEMIMessageCode, KNXIPFrame, TunnellingAck, TunnellingRequest, ) from .request_response import RequestResponse if TYPE_CHECKING: from xknx.io.udp_client import UDPClient from xknx.telegram import IndividualAddress, Telegram from xknx.xknx import XKNX class Tunnelling(RequestResponse): def __init__( self, xknx: XKNX, udp_client: UDPClient, data_endpoint: tuple[str, int] | None, telegram: Telegram, src_address: IndividualAddress, sequence_counter: int, communication_channel_id: int, ): self.xknx = xknx self.udp_client = udp_client self.data_endpoint_addr = data_endpoint self.src_address = src_address super().__init__(xknx, self.udp_client, TunnellingAck) self.telegram = telegram self.sequence_counter = sequence_counter self.communication_channel_id = communication_channel_id async def send_request(self) -> None: self.udpclient.send(self.create_knxipframe(), addr=self.data_endpoint_addr) def create_knxipframe(self) -> KNXIPFrame: cemi = CEMIFrame.init_from_telegram( self.xknx, telegram=self.telegram, code=CEMIMessageCode.L_DATA_REQ, src_addr=self.src_address, ) tunnelling_request = TunnellingRequest( self.xknx, communication_channel_id=self.communication_channel_id, sequence_counter=self.sequence_counter, cemi=cemi, ) return KNXIPFrame.init_from_body(tunnelling_request)

true

f7fc0e70266eb23c1d0f0af73705e746a7d3c352

740,139

py

Python

asnets/experiments/det_blocksworld_strat50.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

21

2017-12-05T13:27:36.000Z

2021-11-16T20:32:33.000Z

asnets/experiments/det_blocksworld_strat50.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

2

2018-07-16T12:15:46.000Z

2020-10-31T00:02:49.000Z

asnets/experiments/det_blocksworld_strat50.py

xf1590281/ASNets

5f4b29fb62a5e72004b813228442d06246c9ec33

[ "MIT" ]

7

2018-03-19T13:45:13.000Z

2022-03-24T07:52:20.000Z

"""An extended set of deterministic blocksworld problems, like det_blocksworld_uber.py. Specific sampling strategy used for evaluation was to take random 18-block problems with *only* k-block towers for k=1,3,5,10,15,18. Probably some tower counts will be harder than others.""" PDDL_DIR = '../problems/mine/det-bw-challenge/pddl/' COMMON_PDDLS = ['domain.pddl'] TRAIN_PDDLS = [ # same training set as det-bw-uber 'train/prob-blocks-blocks-nblk5-seed896255376-seq0.pddl', 'train/prob-blocks-blocks-nblk5-seed896255376-seq1.pddl', 'train/prob-blocks-blocks-nblk5-seed896255376-seq2.pddl', 'train/prob-blocks-blocks-nblk8-ntow1-seed270765476-seq0.pddl', 'train/prob-blocks-blocks-nblk8-ntow1-seed270765476-seq1.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq0.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq1.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq2.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq3.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq8.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq9.pddl', ] # yapf: disable TRAIN_NAMES = None _TEST_RUNS = [ 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq143.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq337.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq957.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq384.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq976.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq250.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq554.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq216.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq397.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq986.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq653.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq522.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq862.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq312.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq749.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq742.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq200.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq951.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq315.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq673.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq398.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq483.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq852.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq162.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq358.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq689.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq780.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq352.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq600.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq665.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq275.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq910.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq863.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq31.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq138.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq790.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq15.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq532.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq287.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq839.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq531.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq784.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq37.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq328.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq154.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq884.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq963.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq999.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq612.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq374.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq34.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq471.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq392.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq717.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq940.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq873.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq861.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq475.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq886.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq881.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq470.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq265.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq533.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq897.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq981.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq393.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq229.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq564.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq807.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq58.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq374.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq372.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq387.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq656.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq719.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq126.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq639.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq511.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq423.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq779.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq926.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq415.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq815.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq844.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq393.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq154.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq20.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq220.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq228.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq740.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq556.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq91.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq639.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq892.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq558.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq847.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq261.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq70.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq88.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq696.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq150.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq201.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq872.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq183.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq422.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq438.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq989.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq393.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq305.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq581.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq33.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq630.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq585.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq263.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq92.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq474.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq589.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq445.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq466.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq88.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq766.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq776.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq704.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq15.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq345.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq862.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq739.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq723.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq93.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq540.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq563.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq674.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq161.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq920.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq892.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq401.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq649.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq79.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq591.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq807.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq886.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq327.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq732.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq393.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq451.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq514.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq89.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq863.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq964.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq716.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq891.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq330.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq702.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq342.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq187.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq844.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq606.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq683.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq781.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq576.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq806.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq262.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq328.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq622.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq989.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq596.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq408.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq684.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq71.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq956.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq819.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq984.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq950.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq756.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq454.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq430.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq150.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq232.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq796.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq882.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq415.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq666.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq649.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq753.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq192.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq182.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq432.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq949.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq659.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq40.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq0.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq990.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq935.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq174.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq273.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq296.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq458.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq697.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq618.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq119.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq780.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq140.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq671.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq193.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq921.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq893.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq163.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq146.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq989.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq469.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq772.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq258.pddl', 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'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq889.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq727.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq206.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq712.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq626.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq330.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq657.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq125.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq736.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq367.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq585.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq270.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq806.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq867.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq861.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq996.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq517.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq644.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq936.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq373.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq314.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq961.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq529.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq305.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq128.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq440.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq462.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq34.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq460.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq126.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq690.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq808.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq721.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq228.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq893.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq758.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq439.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq565.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq341.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq756.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq815.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq444.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq95.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq539.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq669.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq522.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq951.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq928.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq490.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq435.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq641.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq5.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq51.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq868.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq80.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq660.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq783.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq975.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq478.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq57.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq480.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq207.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq944.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq821.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq544.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq971.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq504.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq353.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq209.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq0.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq657.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq537.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq271.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq149.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq661.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq903.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq254.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq60.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq638.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq766.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq835.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq793.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq178.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq627.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq512.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq758.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq476.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq248.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq964.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq281.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq969.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq372.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq819.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq114.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq715.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq155.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq192.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq974.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq392.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq506.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq378.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq813.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq860.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq759.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq746.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq28.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq329.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq816.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq155.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq196.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq700.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq670.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq591.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq209.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq257.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq427.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq229.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq405.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq399.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq270.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq603.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq490.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq903.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq435.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq771.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq900.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq515.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq894.pddl', ] # yapf: disable TEST_RUNS = [([fname], None) for fname in _TEST_RUNS]

73.821963

78

0.783408

PDDL_DIR = '../problems/mine/det-bw-challenge/pddl/' COMMON_PDDLS = ['domain.pddl'] TRAIN_PDDLS = [ 'train/prob-blocks-blocks-nblk5-seed896255376-seq0.pddl', 'train/prob-blocks-blocks-nblk5-seed896255376-seq1.pddl', 'train/prob-blocks-blocks-nblk5-seed896255376-seq2.pddl', 'train/prob-blocks-blocks-nblk8-ntow1-seed270765476-seq0.pddl', 'train/prob-blocks-blocks-nblk8-ntow1-seed270765476-seq1.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq0.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq1.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq2.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq3.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq8.pddl', 'train/prob-blocks-blocks-nblk8-seed236108287-seq9.pddl', ] TRAIN_NAMES = None _TEST_RUNS = [ 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq143.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq337.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq957.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq384.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq976.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq250.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq554.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq216.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq397.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq986.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq653.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq522.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq862.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq312.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq749.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq742.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq200.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq951.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq315.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq673.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow7-seed795310950-seq398.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq483.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq852.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq162.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq358.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq689.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow50-seed1174170468-seq780.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq352.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq600.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq665.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq275.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow1-seed1612922803-seq910.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq863.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq31.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow40-seed1677989884-seq138.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow25-seed224502352-seq790.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq15.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq532.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq287.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow10-seed45088672-seq839.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow15-seed353226086-seq531.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow4-seed378450903-seq784.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow20-seed1213313126-seq37.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq328.pddl', 'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq154.pddl', 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'strat50/prob-blocks-blocks-nblk50-ntow30-seed585020349-seq894.pddl', ] TEST_RUNS = [([fname], None) for fname in _TEST_RUNS]

true

f7fc0eec94d2ed59d118b176abfc6e1b68bd7edc

21

py

Python

januspy/__init__.py

Akagi201/januspy

85680d31c38770b7ce724d1d703385e19671eb3b

[ "MIT" ]

5

2016-12-19T17:18:48.000Z

2020-10-20T01:37:09.000Z

januspy/__init__.py

Akagi201/januspy

85680d31c38770b7ce724d1d703385e19671eb3b

[ "MIT" ]

null

januspy/__init__.py

Akagi201/januspy

85680d31c38770b7ce724d1d703385e19671eb3b

[ "MIT" ]

4

2020-03-17T11:31:06.000Z

2021-08-06T11:40:01.000Z

from januspy import *

21

0.809524

from januspy import *

true

f7fc10d37f4469f92b24b4bf42ee112eb6746797

12,381

py

Python

test/test_serialization.py

vlcinsky/nameko

88d7e5211de4fcc1c34cd7f84d7c77f0619c5f5d

[ "Apache-2.0" ]

3,425

2016-11-10T17:12:42.000Z

2022-03-31T19:07:49.000Z

test/test_serialization.py

vlcinsky/nameko

88d7e5211de4fcc1c34cd7f84d7c77f0619c5f5d

[ "Apache-2.0" ]

311

2016-11-10T20:58:16.000Z

2022-03-26T09:03:22.000Z

test/test_serialization.py

vlcinsky/nameko

88d7e5211de4fcc1c34cd7f84d7c77f0619c5f5d

[ "Apache-2.0" ]

420

2016-11-17T05:46:42.000Z

2022-03-23T12:36:06.000Z

import json import uuid import pytest import yaml from kombu import Exchange, Queue from mock import Mock, call from nameko.constants import ( ACCEPT_CONFIG_KEY, SERIALIZER_CONFIG_KEY, SERIALIZERS_CONFIG_KEY ) from nameko.events import EventDispatcher, event_handler from nameko.exceptions import ConfigurationError, RemoteError from nameko.messaging import consume from nameko.rpc import RpcProxy, rpc from nameko.standalone.rpc import ServiceRpcProxy from nameko.testing.services import entrypoint_hook, entrypoint_waiter entrypoint_called = Mock() test_data = { "hello": ("world",), 123: 456, 'abc': [7, 8, 9], 'foobar': 1.5, } serialized_info = { 'json': { 'content_type': 'application/json', 'content_encoding': 'utf-8', 'data': json.loads(json.dumps(test_data)) }, 'pickle': { 'content_type': 'application/x-python-serialize', 'content_encoding': 'binary', 'data': test_data } } unserializable = object() class Service(object): name = "service" @rpc def echo(self, arg): entrypoint_called(arg) return arg @rpc def broken(self): return unserializable @pytest.fixture def sniffer_queue_factory(rabbit_config, rabbit_manager): """ Return a function that creates message queues to 'sniff' messages published to exchanges. """ vhost = rabbit_config['vhost'] def make(exchange, routing_key="*"): """ Create a uniquely named queue and bind it to an exchange so that it collects messages published to that exchange. :Parameters: exchange : str Name of the exchange to bind to routing_key : str Routing key to bind with :Returns: A function that returns all the messages received by the queue """ queue_name = "sniffer_{}".format(uuid.uuid4()) rabbit_manager.create_queue(vhost, queue_name, auto_delete=True) rabbit_manager.create_queue_binding( vhost, exchange, queue_name, routing_key=routing_key) def get_messages(): """ Return all messages received by the sniffer queue and remove them from the queue. """ return rabbit_manager.get_messages(vhost, queue_name) return get_messages return make @pytest.mark.parametrize("serializer", ['json', 'pickle']) def test_rpc_serialization(container_factory, rabbit_config, sniffer_queue_factory, serializer): config = rabbit_config config[SERIALIZER_CONFIG_KEY] = serializer container = container_factory(Service, config) container.start() get_messages = sniffer_queue_factory('nameko-rpc') serialized = serialized_info[serializer] with ServiceRpcProxy('service', rabbit_config) as proxy: assert proxy.echo(test_data) == serialized['data'] assert entrypoint_called.call_args == call(serialized['data']) msg = get_messages()[0] assert msg['properties']['content_type'] == serialized['content_type'] def test_rpc_result_serialization_error(container_factory, rabbit_config): container = container_factory(Service, rabbit_config) container.start() with ServiceRpcProxy('service', rabbit_config) as proxy: with pytest.raises(RemoteError) as exc: proxy.broken() assert exc.value.exc_type == "UnserializableValueError" assert proxy.echo('foo') == "foo" # subsequent calls ok def test_rpc_arg_serialization_error(container_factory, rabbit_config): container = container_factory(Service, rabbit_config) container.start() with ServiceRpcProxy('service', rabbit_config) as proxy: with pytest.raises(Exception): proxy.echo(unserializable) assert proxy.echo('foo') == "foo" # subsequent calls ok @pytest.mark.parametrize("serializer", ['json', 'pickle']) def test_event_serialization( container_factory, rabbit_config, sniffer_queue_factory, serializer ): handler_called = Mock() class Service(object): name = "srcservice" dispatch = EventDispatcher() @rpc def dispatch_event(self, payload): self.dispatch("eventtype", payload) @event_handler('srcservice', 'eventtype') def handle_event(self, event_data): handler_called(event_data) rabbit_config[SERIALIZER_CONFIG_KEY] = serializer container = container_factory(Service, rabbit_config) container.start() get_messages = sniffer_queue_factory( "srcservice.events", routing_key="eventtype") serialized = serialized_info[serializer] # dispatch an event with a tuple payload with entrypoint_waiter(container, "handle_event"): with entrypoint_hook(container, "dispatch_event") as dispatch_event: dispatch_event(test_data) # verify data serialized to expected value assert handler_called.call_args == call(serialized['data']) # verify sniffed messages serialized as expected msg = get_messages()[0] assert msg['properties']['content_type'] == serialized['content_type'] def upperjson_encode(value): value = json.dumps(value) return value.upper() def upperjson_decode(value): value = value.lower() return json.loads(value) def test_custom_serializer(container_factory, rabbit_config, sniffer_queue_factory): class Service(object): name = "service" @rpc def echo(self, arg): return arg rabbit_config[SERIALIZER_CONFIG_KEY] = "upperjson" rabbit_config[SERIALIZERS_CONFIG_KEY] = { 'upperjson': { 'encoder': 'test.test_serialization.upperjson_encode', 'decoder': 'test.test_serialization.upperjson_decode', 'content_type': 'application/x-upper-json' } } container = container_factory(Service, rabbit_config) container.start() get_messages = sniffer_queue_factory('nameko-rpc') # verify RPC works end-to-end with ServiceRpcProxy('service', rabbit_config) as proxy: assert proxy.echo("hello") == "hello" # verify sniffed messages serialized as expected msg = get_messages()[0] assert '"RESULT": "HELLO"' in msg['payload'] assert msg['properties']['content_type'] == "application/x-upper-json" @pytest.mark.parametrize( 'config', ( {SERIALIZER_CONFIG_KEY: 'unknown'}, {ACCEPT_CONFIG_KEY: ['json', 'unknown']}, { SERIALIZER_CONFIG_KEY: 'json', ACCEPT_CONFIG_KEY: ['json', 'unknown'], }, ) ) def test_missing_serializers(container_factory, rabbit_config, config): rabbit_config.update(config) with pytest.raises(ConfigurationError) as exc: container_factory(Service, rabbit_config) assert ( str(exc.value) == 'Please register a serializer for "unknown" format') @pytest.mark.parametrize( 'content_type, encode', ( ('application/json', json.dumps), ('application/x-yaml', yaml.dump), ) ) def test_consumer_accepts_multiple_serialization_formats( container_factory, rabbit_config, rabbit_manager, content_type, encode ): class Service(object): name = 'service' @consume(queue=Queue(exchange=Exchange('spam'), name='some-queue')) def consume(self, payload): assert payload == {'spam': 'ham'} rabbit_config[ACCEPT_CONFIG_KEY] = ['json', 'yaml'] container = container_factory(Service, rabbit_config) container.start() payload = {'spam': 'ham'} with entrypoint_waiter(container, 'consume'): rabbit_manager.publish( rabbit_config['vhost'], 'spam', '', encode(payload), properties={'content_type': content_type}) @pytest.mark.parametrize( 'serializer, content_type, encode', ( ('json', 'application/json', json.dumps), ('yaml', 'application/x-yaml', yaml.dump), ) ) def test_standalone_rpc_accepts_multiple_serialization_formats( container_factory, rabbit_config, rabbit_manager, sniffer_queue_factory, serializer, content_type, encode ): called = Mock() class EchoingService(object): name = 'echoer' @rpc def echo(self, payload): called(payload) return payload echoer_config = rabbit_config.copy() echoer_config[SERIALIZER_CONFIG_KEY] = 'json' echoer_config[ACCEPT_CONFIG_KEY] = ['json', 'yaml'] echoer = container_factory(EchoingService, echoer_config) echoer.start() payload = {'spam': 'ham'} proxy_config = rabbit_config.copy() proxy_config[SERIALIZER_CONFIG_KEY] = serializer get_messages = sniffer_queue_factory('nameko-rpc') with ServiceRpcProxy('echoer', proxy_config) as proxy: assert proxy.echo(payload) == payload msg = get_messages().pop() assert encode(payload) in msg['payload'] assert msg['properties']['content_type'] == content_type assert called.mock_calls == [call(payload)] @pytest.mark.parametrize( 'serializer, content_type, encode', ( ('json', 'application/json', json.dumps), ('yaml', 'application/x-yaml', yaml.dump), ) ) def test_rpc_accepts_multiple_serialization_formats( container_factory, rabbit_config, rabbit_manager, sniffer_queue_factory, serializer, content_type, encode ): called = Mock() class ForwardingService(object): name = 'forwarder' echoer = RpcProxy('echoer') @rpc def forward(self, payload): return self.echoer.echo(payload) class EchoingService(object): name = 'echoer' @rpc def echo(self, payload): called(payload) return payload echoer_config = rabbit_config.copy() echoer_config[SERIALIZER_CONFIG_KEY] = 'json' echoer_config[ACCEPT_CONFIG_KEY] = ['json', 'yaml'] echoer = container_factory(EchoingService, echoer_config) echoer.start() payload = {'spam': 'ham'} forwarder_config = rabbit_config.copy() forwarder_config[SERIALIZER_CONFIG_KEY] = serializer forwarder = container_factory(ForwardingService, forwarder_config) forwarder.start() get_messages = sniffer_queue_factory('nameko-rpc') with entrypoint_hook(forwarder, 'forward') as echo: assert echo(payload) == payload msg = get_messages().pop() assert encode(payload) in msg['payload'] assert msg['properties']['content_type'] == content_type assert called.mock_calls == [call(payload)] @pytest.mark.parametrize( 'serializer, content_type, encode', ( ('json', 'application/json', json.dumps), ('yaml', 'application/x-yaml', yaml.dump), ) ) def test_events_accepts_multiple_serialization_formats( container_factory, rabbit_config, rabbit_manager, sniffer_queue_factory, serializer, content_type, encode ): called = Mock() class PublishingService(object): name = 'publisher' dispatch = EventDispatcher() @rpc def dispatch_event(self, payload): self.dispatch('spam', payload) class ConsumingService(object): name = 'consumer' @event_handler('publisher', 'spam') def handle_event(self, event_data): called(event_data) def publish(consumer, publisher): with entrypoint_waiter(consumer, "handle_event"): with entrypoint_hook(publisher, "dispatch_event") as dispatch: dispatch(payload) consumer_config = rabbit_config.copy() consumer_config[SERIALIZER_CONFIG_KEY] = 'json' consumer_config[ACCEPT_CONFIG_KEY] = ['json', 'yaml'] consumer = container_factory(ConsumingService, consumer_config) consumer.start() get_messages = sniffer_queue_factory( 'publisher.events', routing_key='spam') payload = {'spam': 'ham'} publisher_config = rabbit_config.copy() publisher_config[SERIALIZER_CONFIG_KEY] = serializer publisher = container_factory(PublishingService, publisher_config) publisher.start() publish(consumer, publisher) msg = get_messages().pop() assert encode(payload) in msg['payload'] assert msg['properties']['content_type'] == content_type assert called.mock_calls == [call(payload)]

27.885135

76

0.67014

import json import uuid import pytest import yaml from kombu import Exchange, Queue from mock import Mock, call from nameko.constants import ( ACCEPT_CONFIG_KEY, SERIALIZER_CONFIG_KEY, SERIALIZERS_CONFIG_KEY ) from nameko.events import EventDispatcher, event_handler from nameko.exceptions import ConfigurationError, RemoteError from nameko.messaging import consume from nameko.rpc import RpcProxy, rpc from nameko.standalone.rpc import ServiceRpcProxy from nameko.testing.services import entrypoint_hook, entrypoint_waiter entrypoint_called = Mock() test_data = { "hello": ("world",), 123: 456, 'abc': [7, 8, 9], 'foobar': 1.5, } serialized_info = { 'json': { 'content_type': 'application/json', 'content_encoding': 'utf-8', 'data': json.loads(json.dumps(test_data)) }, 'pickle': { 'content_type': 'application/x-python-serialize', 'content_encoding': 'binary', 'data': test_data } } unserializable = object() class Service(object): name = "service" @rpc def echo(self, arg): entrypoint_called(arg) return arg @rpc def broken(self): return unserializable @pytest.fixture def sniffer_queue_factory(rabbit_config, rabbit_manager): vhost = rabbit_config['vhost'] def make(exchange, routing_key="*"): queue_name = "sniffer_{}".format(uuid.uuid4()) rabbit_manager.create_queue(vhost, queue_name, auto_delete=True) rabbit_manager.create_queue_binding( vhost, exchange, queue_name, routing_key=routing_key) def get_messages(): return rabbit_manager.get_messages(vhost, queue_name) return get_messages return make @pytest.mark.parametrize("serializer", ['json', 'pickle']) def test_rpc_serialization(container_factory, rabbit_config, sniffer_queue_factory, serializer): config = rabbit_config config[SERIALIZER_CONFIG_KEY] = serializer container = container_factory(Service, config) container.start() get_messages = sniffer_queue_factory('nameko-rpc') serialized = serialized_info[serializer] with ServiceRpcProxy('service', rabbit_config) as proxy: assert proxy.echo(test_data) == serialized['data'] assert entrypoint_called.call_args == call(serialized['data']) msg = get_messages()[0] assert msg['properties']['content_type'] == serialized['content_type'] def test_rpc_result_serialization_error(container_factory, rabbit_config): container = container_factory(Service, rabbit_config) container.start() with ServiceRpcProxy('service', rabbit_config) as proxy: with pytest.raises(RemoteError) as exc: proxy.broken() assert exc.value.exc_type == "UnserializableValueError" assert proxy.echo('foo') == "foo" def test_rpc_arg_serialization_error(container_factory, rabbit_config): container = container_factory(Service, rabbit_config) container.start() with ServiceRpcProxy('service', rabbit_config) as proxy: with pytest.raises(Exception): proxy.echo(unserializable) assert proxy.echo('foo') == "foo" @pytest.mark.parametrize("serializer", ['json', 'pickle']) def test_event_serialization( container_factory, rabbit_config, sniffer_queue_factory, serializer ): handler_called = Mock() class Service(object): name = "srcservice" dispatch = EventDispatcher() @rpc def dispatch_event(self, payload): self.dispatch("eventtype", payload) @event_handler('srcservice', 'eventtype') def handle_event(self, event_data): handler_called(event_data) rabbit_config[SERIALIZER_CONFIG_KEY] = serializer container = container_factory(Service, rabbit_config) container.start() get_messages = sniffer_queue_factory( "srcservice.events", routing_key="eventtype") serialized = serialized_info[serializer] with entrypoint_waiter(container, "handle_event"): with entrypoint_hook(container, "dispatch_event") as dispatch_event: dispatch_event(test_data) assert handler_called.call_args == call(serialized['data']) msg = get_messages()[0] assert msg['properties']['content_type'] == serialized['content_type'] def upperjson_encode(value): value = json.dumps(value) return value.upper() def upperjson_decode(value): value = value.lower() return json.loads(value) def test_custom_serializer(container_factory, rabbit_config, sniffer_queue_factory): class Service(object): name = "service" @rpc def echo(self, arg): return arg rabbit_config[SERIALIZER_CONFIG_KEY] = "upperjson" rabbit_config[SERIALIZERS_CONFIG_KEY] = { 'upperjson': { 'encoder': 'test.test_serialization.upperjson_encode', 'decoder': 'test.test_serialization.upperjson_decode', 'content_type': 'application/x-upper-json' } } container = container_factory(Service, rabbit_config) container.start() get_messages = sniffer_queue_factory('nameko-rpc') with ServiceRpcProxy('service', rabbit_config) as proxy: assert proxy.echo("hello") == "hello" msg = get_messages()[0] assert '"RESULT": "HELLO"' in msg['payload'] assert msg['properties']['content_type'] == "application/x-upper-json" @pytest.mark.parametrize( 'config', ( {SERIALIZER_CONFIG_KEY: 'unknown'}, {ACCEPT_CONFIG_KEY: ['json', 'unknown']}, { SERIALIZER_CONFIG_KEY: 'json', ACCEPT_CONFIG_KEY: ['json', 'unknown'], }, ) ) def test_missing_serializers(container_factory, rabbit_config, config): rabbit_config.update(config) with pytest.raises(ConfigurationError) as exc: container_factory(Service, rabbit_config) assert ( str(exc.value) == 'Please register a serializer for "unknown" format') @pytest.mark.parametrize( 'content_type, encode', ( ('application/json', json.dumps), ('application/x-yaml', yaml.dump), ) ) def test_consumer_accepts_multiple_serialization_formats( container_factory, rabbit_config, rabbit_manager, content_type, encode ): class Service(object): name = 'service' @consume(queue=Queue(exchange=Exchange('spam'), name='some-queue')) def consume(self, payload): assert payload == {'spam': 'ham'} rabbit_config[ACCEPT_CONFIG_KEY] = ['json', 'yaml'] container = container_factory(Service, rabbit_config) container.start() payload = {'spam': 'ham'} with entrypoint_waiter(container, 'consume'): rabbit_manager.publish( rabbit_config['vhost'], 'spam', '', encode(payload), properties={'content_type': content_type}) @pytest.mark.parametrize( 'serializer, content_type, encode', ( ('json', 'application/json', json.dumps), ('yaml', 'application/x-yaml', yaml.dump), ) ) def test_standalone_rpc_accepts_multiple_serialization_formats( container_factory, rabbit_config, rabbit_manager, sniffer_queue_factory, serializer, content_type, encode ): called = Mock() class EchoingService(object): name = 'echoer' @rpc def echo(self, payload): called(payload) return payload echoer_config = rabbit_config.copy() echoer_config[SERIALIZER_CONFIG_KEY] = 'json' echoer_config[ACCEPT_CONFIG_KEY] = ['json', 'yaml'] echoer = container_factory(EchoingService, echoer_config) echoer.start() payload = {'spam': 'ham'} proxy_config = rabbit_config.copy() proxy_config[SERIALIZER_CONFIG_KEY] = serializer get_messages = sniffer_queue_factory('nameko-rpc') with ServiceRpcProxy('echoer', proxy_config) as proxy: assert proxy.echo(payload) == payload msg = get_messages().pop() assert encode(payload) in msg['payload'] assert msg['properties']['content_type'] == content_type assert called.mock_calls == [call(payload)] @pytest.mark.parametrize( 'serializer, content_type, encode', ( ('json', 'application/json', json.dumps), ('yaml', 'application/x-yaml', yaml.dump), ) ) def test_rpc_accepts_multiple_serialization_formats( container_factory, rabbit_config, rabbit_manager, sniffer_queue_factory, serializer, content_type, encode ): called = Mock() class ForwardingService(object): name = 'forwarder' echoer = RpcProxy('echoer') @rpc def forward(self, payload): return self.echoer.echo(payload) class EchoingService(object): name = 'echoer' @rpc def echo(self, payload): called(payload) return payload echoer_config = rabbit_config.copy() echoer_config[SERIALIZER_CONFIG_KEY] = 'json' echoer_config[ACCEPT_CONFIG_KEY] = ['json', 'yaml'] echoer = container_factory(EchoingService, echoer_config) echoer.start() payload = {'spam': 'ham'} forwarder_config = rabbit_config.copy() forwarder_config[SERIALIZER_CONFIG_KEY] = serializer forwarder = container_factory(ForwardingService, forwarder_config) forwarder.start() get_messages = sniffer_queue_factory('nameko-rpc') with entrypoint_hook(forwarder, 'forward') as echo: assert echo(payload) == payload msg = get_messages().pop() assert encode(payload) in msg['payload'] assert msg['properties']['content_type'] == content_type assert called.mock_calls == [call(payload)] @pytest.mark.parametrize( 'serializer, content_type, encode', ( ('json', 'application/json', json.dumps), ('yaml', 'application/x-yaml', yaml.dump), ) ) def test_events_accepts_multiple_serialization_formats( container_factory, rabbit_config, rabbit_manager, sniffer_queue_factory, serializer, content_type, encode ): called = Mock() class PublishingService(object): name = 'publisher' dispatch = EventDispatcher() @rpc def dispatch_event(self, payload): self.dispatch('spam', payload) class ConsumingService(object): name = 'consumer' @event_handler('publisher', 'spam') def handle_event(self, event_data): called(event_data) def publish(consumer, publisher): with entrypoint_waiter(consumer, "handle_event"): with entrypoint_hook(publisher, "dispatch_event") as dispatch: dispatch(payload) consumer_config = rabbit_config.copy() consumer_config[SERIALIZER_CONFIG_KEY] = 'json' consumer_config[ACCEPT_CONFIG_KEY] = ['json', 'yaml'] consumer = container_factory(ConsumingService, consumer_config) consumer.start() get_messages = sniffer_queue_factory( 'publisher.events', routing_key='spam') payload = {'spam': 'ham'} publisher_config = rabbit_config.copy() publisher_config[SERIALIZER_CONFIG_KEY] = serializer publisher = container_factory(PublishingService, publisher_config) publisher.start() publish(consumer, publisher) msg = get_messages().pop() assert encode(payload) in msg['payload'] assert msg['properties']['content_type'] == content_type assert called.mock_calls == [call(payload)]

true

f7fc10f508eb733944921ea518ef70fe71b77d03

742

py

Python

app/appapi/paths/base_api.py

QuittyMR/HYDI-scaffolder

688b5ec5e2a46486521f7b4488de41b0b48a733d

[ "MIT" ]

null

app/appapi/paths/base_api.py

QuittyMR/HYDI-scaffolder

688b5ec5e2a46486521f7b4488de41b0b48a733d

[ "MIT" ]

null

app/appapi/paths/base_api.py

QuittyMR/HYDI-scaffolder

688b5ec5e2a46486521f7b4488de41b0b48a733d

[ "MIT" ]

null

from abc import ABCMeta, abstractmethod from six import add_metaclass @add_metaclass(ABCMeta) class BaseApi(object): """ Every API path class should inherit from this interface-class, and imported in paths/__init__.py . Each public method you define here will become an api route in the path returned by _path() . The docstring for each method should contain only a comma-separated list of the methods supported by the route. Missing or erroneous methods will be discarded (method will be regarded as 'GET' if no methods are found) """ @abstractmethod def _path(self): """ URL subpath for the routes contained in this file. Example: http://www.domain.com/<_path>/... """

37.1

118

0.703504

from abc import ABCMeta, abstractmethod from six import add_metaclass @add_metaclass(ABCMeta) class BaseApi(object): @abstractmethod def _path(self):

true

f7fc110e09e830a26820cba4cfca71cff656ed98

18,507

py

Python

demisto_sdk/commands/common/hook_validations/playbook.py

cpforbes/demisto-sdk

4fe122e6f614e605f96bd47aa089b215dc7c2c5f

[ "MIT" ]

null

demisto_sdk/commands/common/hook_validations/playbook.py

cpforbes/demisto-sdk

4fe122e6f614e605f96bd47aa089b215dc7c2c5f

[ "MIT" ]

null

demisto_sdk/commands/common/hook_validations/playbook.py

cpforbes/demisto-sdk

4fe122e6f614e605f96bd47aa089b215dc7c2c5f

[ "MIT" ]

null

from typing import Dict import click from demisto_sdk.commands.common.errors import Errors from demisto_sdk.commands.common.hook_validations.content_entity_validator import \ ContentEntityValidator from demisto_sdk.commands.common.tools import LOG_COLORS, is_string_uuid class PlaybookValidator(ContentEntityValidator): """PlaybookValidator is designed to validate the correctness of the file structure we enter to content repo.""" def is_valid_playbook(self, is_new_playbook: bool = True, validate_rn: bool = True, id_set_file=None) -> bool: """Check whether the playbook is valid or not. Args: this will also determine whether a new id_set can be created by validate. is_new_playbook (bool): whether the playbook is new or modified validate_rn (bool): whether we need to validate release notes or not id_set_file (dict): id_set.json file if exists, None otherwise Returns: bool. Whether the playbook is valid or not """ if 'TestPlaybooks' in self.file_path: click.echo(f'Skipping validation for Test Playbook {self.file_path}', color=LOG_COLORS.YELLOW) return True if is_new_playbook: new_playbook_checks = [ super().is_valid_file(validate_rn), self.is_valid_version(), self.is_id_equals_name(), self.is_no_rolename(), self.is_root_connected_to_all_tasks(), self.is_using_instance(), self.is_condition_branches_handled(), self.is_delete_context_all_in_playbook(), self.are_tests_configured(), self.is_valid_as_deprecated(), self.is_script_id_valid(id_set_file), self._is_id_uuid(), self._is_taskid_equals_id(), ] answers = all(new_playbook_checks) else: # for new playbooks - run all playbook checks. # for modified playbooks - id may not be equal to name. modified_playbook_checks = [ self.is_valid_version(), self.is_no_rolename(), self.is_root_connected_to_all_tasks(), self.is_using_instance(), self.is_condition_branches_handled(), self.is_delete_context_all_in_playbook(), self.are_tests_configured(), self.is_script_id_valid(id_set_file), self._is_id_uuid(), self._is_taskid_equals_id(), ] answers = all(modified_playbook_checks) return answers def are_tests_configured(self) -> bool: """ Checks if the playbook has a TestPlaybook and if the TestPlaybook is configured in conf.json And prints an error message accordingly """ file_type = self.structure_validator.scheme_name if not isinstance(file_type, str): file_type = file_type.value # type: ignore tests = self.current_file.get('tests', []) return self.yml_has_test_key(tests, file_type) def is_id_equals_name(self): # type: () -> bool """Check whether the playbook ID is equal to its name. Returns: bool. Whether the file id equals to its name """ return super(PlaybookValidator, self)._is_id_equals_name('playbook') def is_valid_version(self): # type: () -> bool """Check whether the playbook version is equal to DEFAULT_VERSION (see base_validator class) Return: bool. whether the version is valid or not """ return self._is_valid_version() def is_no_rolename(self): # type: () -> bool """Check whether the playbook has a rolename Return: bool. if the Playbook has a rolename it is not valid. """ rolename = self.current_file.get('rolename', None) if rolename: error_message, error_code = Errors.playbook_cant_have_rolename() if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = False return False return True def is_condition_branches_handled(self): # type: () -> bool """Check whether the playbook conditional tasks has all optional branches handled Return: bool. if the Playbook handles all condition branches correctly. """ is_all_condition_branches_handled: bool = True tasks: Dict = self.current_file.get('tasks', {}) for task in tasks.values(): if task.get('type') == 'condition': # builtin conditional task if task.get('conditions'): is_all_condition_branches_handled = self.is_builtin_condition_task_branches_handled( task) and is_all_condition_branches_handled # ask conditional task elif task.get('message'): is_all_condition_branches_handled = self.is_ask_condition_branches_handled( task) and is_all_condition_branches_handled # script conditional task elif task.get('scriptName'): is_all_condition_branches_handled = self.is_script_condition_branches_handled( task) and is_all_condition_branches_handled return is_all_condition_branches_handled def is_builtin_condition_task_branches_handled(self, task: Dict) -> bool: """Checks whether a builtin conditional task branches are handled properly NOTE: The function uses str.upper() on branches to be case insensitive Args: task (dict): task json loaded from a yaml Return: bool. if the task handles all condition branches correctly. """ is_all_condition_branches_handled: bool = True # ADD all possible conditions to task_condition_labels (UPPER) # #default# condition should always exist in a builtin condition task_condition_labels = set() for condition in task.get('conditions', []): label = condition.get('label') if label: # Need to cast it to string because otherwise it's parsed as boolean task_condition_labels.add(str(label).upper()) # REMOVE all used condition branches from task_condition_labels (UPPER) next_tasks: Dict = task.get('nexttasks', {}) for next_task_branch in next_tasks.keys(): try: if next_task_branch: # Need to cast it to string because otherwise it's parsed as boolean task_condition_labels.remove(str(next_task_branch).upper()) except KeyError as e: # else doesn't have a path, skip error if '#DEFAULT#' == e.args[0]: continue error_message, error_code = Errors.playbook_unreachable_condition(task.get('id'), next_task_branch) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False # if there are task_condition_labels left then not all branches are handled if task_condition_labels: error_message, error_code = Errors.playbook_unhandled_condition(task.get('id'), task_condition_labels) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False return is_all_condition_branches_handled def is_ask_condition_branches_handled(self, task: Dict) -> bool: """Checks whether a builtin conditional task branches are handled properly NOTE: The function uses str.upper() on branches to be case insensitive Args: task (dict): task json loaded from a yaml Return: bool. if the task handles all condition branches correctly. """ is_all_condition_branches_handled: bool = True next_tasks: Dict = task.get('nexttasks', {}) # if default is handled, then it means all branches are being handled if '#default#' in next_tasks: return is_all_condition_branches_handled # ADD all replyOptions to unhandled_reply_options (UPPER) unhandled_reply_options = set(map(str.upper, task.get('message', {}).get('replyOptions', []))) # Remove all nexttasks from unhandled_reply_options (UPPER) for next_task_branch, next_task_id in next_tasks.items(): try: if next_task_id: unhandled_reply_options.remove(next_task_branch.upper()) except KeyError: error_message, error_code = Errors.playbook_unreachable_condition(task.get('id'), next_task_branch) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False if unhandled_reply_options: error_message, error_code = Errors.playbook_unhandled_condition(task.get('id'), unhandled_reply_options) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False return is_all_condition_branches_handled def is_script_condition_branches_handled(self, task: Dict) -> bool: """Checks whether a script conditional task branches are handled properly Args: task (dict): task json loaded from a yaml Return: bool. if the task handles all condition branches correctly. """ is_all_condition_branches_handled: bool = True next_tasks: Dict = task.get('nexttasks', {}) if '#default#' not in next_tasks: error_message, error_code = Errors.playbook_unhandled_condition(task.get('id'), {'else'}) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False if len(next_tasks) < 2: # there should be at least 2 next tasks, we don't know what condition is missing, but we know it's missing error_message, error_code = Errors.playbook_unhandled_condition(task.get('id'), {}) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False return is_all_condition_branches_handled def is_root_connected_to_all_tasks(self): # type: () -> bool """Check whether the playbook root is connected to all tasks Return: bool. if the Playbook has root is connected to all tasks. """ start_task_id = self.current_file.get('starttaskid') tasks = self.current_file.get('tasks', {}) tasks_bucket = set() next_tasks_bucket = set() for task_id, task in tasks.items(): if task_id != start_task_id: tasks_bucket.add(task_id) next_tasks = task.get('nexttasks', {}) for next_task_ids in next_tasks.values(): if next_task_ids: next_tasks_bucket.update(next_task_ids) orphan_tasks = tasks_bucket.difference(next_tasks_bucket) if orphan_tasks: error_message, error_code = Errors.playbook_unconnected_tasks(orphan_tasks) if not self.handle_error(error_message, error_code, file_path=self.file_path): return False return tasks_bucket.issubset(next_tasks_bucket) def is_valid_as_deprecated(self) -> bool: is_valid = True is_hidden = self.current_file.get('hidden', False) description = self.current_file.get('description', '') if is_hidden: if not description.startswith('Deprecated.'): error_message, error_code = Errors.invalid_deprecated_playbook() if self.handle_error(error_message, error_code, file_path=self.file_path): is_valid = False return is_valid def is_delete_context_all_in_playbook(self) -> bool: """ Check if delete context all=yes exist in playbook. Returns: True if delete context exists else False. """ tasks: Dict = self.current_file.get('tasks', {}) for task in tasks.values(): curr_task = task.get('task', {}) scriptargs = task.get('scriptarguments', {}) if curr_task and scriptargs and curr_task.get('scriptName', '') == 'DeleteContext' \ and scriptargs.get('all', {}).get('simple', '') == 'yes': error_message, error_code = Errors.playbook_cant_have_deletecontext_all() if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = False return False return True def is_using_instance(self) -> bool: """ Check if there is an existing task that uses specific instance. Returns: True if using specific instance exists else False. """ tasks: Dict = self.current_file.get('tasks', {}) for task in tasks.values(): scriptargs = task.get('scriptarguments', {}) if scriptargs and scriptargs.get('using', {}): error_message, error_code = Errors.using_instance_in_playbook() if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = False return False return True def is_script_id_valid(self, id_set_file): """Checks whether a script id is valid (i.e id exists in set_id) Args: id_set_file (dict): id_set.json file this will also determine whether a new id_set can be created by validate. Return: bool. if all scripts ids of this playbook are valid. """ is_valid = True if not id_set_file: click.secho("Skipping playbook script id validation. Could not read id_set.json.", fg="yellow") return is_valid id_set_scripts = id_set_file.get("scripts") pb_tasks = self.current_file.get('tasks', {}) for id, task_dict in pb_tasks.items(): pb_task = task_dict.get('task', {}) script_id_used_in_task = pb_task.get('script') task_script_name = pb_task.get('scriptName') script_entry_to_check = script_id_used_in_task if script_id_used_in_task else task_script_name # i.e # script id or script name integration_script_flag = "|||" # skipping all builtin integration scripts is_script_id_should_be_checked = script_id_used_in_task and integration_script_flag not in script_id_used_in_task if is_script_id_should_be_checked: is_valid = self.check_script_id(script_id_used_in_task, id_set_scripts) elif task_script_name and integration_script_flag not in task_script_name: is_valid = self.check_script_name(task_script_name, id_set_scripts) if not is_valid: error_message, error_code = Errors.invalid_script_id(script_entry_to_check, pb_task) if self.handle_error(error_message, error_code, file_path=self.file_path): return is_valid return is_valid def check_script_id(self, script_id_used_in_task, id_set_scripts): """ Checks if script id exists in at least one of id_set's dicts Args: script_id_used_in_task (str): script id from playbook id_set_scripts (list): all scripts of id_set Returns: True if script_used_in_task exists in id_set """ return any([script_id_used_in_task in id_set_dict for id_set_dict in id_set_scripts]) def check_script_name(self, pb_script_name, id_set_scripts): """ Checks if script name exists in at least one of id_set's dicts as value of the key 'name' Args: pb_script_name (str): script name from playbook id_set_scripts (list): all scripts of id_set Returns: True if pb_script_name exists in id_set """ return any( [pb_script_name == id_set_dict[key].get('name') for id_set_dict in id_set_scripts for key in id_set_dict]) def _is_id_uuid(self): """ Check that the taskid field and the id field under the task field are both on from uuid format Returns: True if the ids are uuid """ is_valid = True tasks: dict = self.current_file.get('tasks', {}) for task_key, task in tasks.items(): taskid = str(task.get('taskid', '')) inner_id = str(task.get('task', {}).get('id', '')) is_valid_task = is_string_uuid(taskid) and is_string_uuid(inner_id) if not is_valid_task: is_valid = is_valid_task error_message, error_code = Errors.invalid_uuid(task_key, taskid, inner_id) self.handle_error(error_message, error_code, file_path=self.file_path) # Does not break after one # invalid task in order to raise error for all the invalid tasks at the file return is_valid def _is_taskid_equals_id(self): """ Check that taskid field and id field under task field contains equal values Returns: True if the values are equal """ is_valid = True tasks: dict = self.current_file.get('tasks', {}) for task_key, task in tasks.items(): taskid = task.get('taskid', '') inner_id = task.get('task', {}).get('id', '') is_valid_task = (taskid == inner_id) if not is_valid_task: is_valid = is_valid_task error_message, error_code = Errors.taskid_different_from_id(task_key, taskid, inner_id) self.handle_error(error_message, error_code, file_path=self.file_path) # Does not break after one # invalid task in order to raise error for all the invalid tasks at the file return is_valid

45.809406

125

0.632571

from typing import Dict import click from demisto_sdk.commands.common.errors import Errors from demisto_sdk.commands.common.hook_validations.content_entity_validator import \ ContentEntityValidator from demisto_sdk.commands.common.tools import LOG_COLORS, is_string_uuid class PlaybookValidator(ContentEntityValidator): def is_valid_playbook(self, is_new_playbook: bool = True, validate_rn: bool = True, id_set_file=None) -> bool: if 'TestPlaybooks' in self.file_path: click.echo(f'Skipping validation for Test Playbook {self.file_path}', color=LOG_COLORS.YELLOW) return True if is_new_playbook: new_playbook_checks = [ super().is_valid_file(validate_rn), self.is_valid_version(), self.is_id_equals_name(), self.is_no_rolename(), self.is_root_connected_to_all_tasks(), self.is_using_instance(), self.is_condition_branches_handled(), self.is_delete_context_all_in_playbook(), self.are_tests_configured(), self.is_valid_as_deprecated(), self.is_script_id_valid(id_set_file), self._is_id_uuid(), self._is_taskid_equals_id(), ] answers = all(new_playbook_checks) else: modified_playbook_checks = [ self.is_valid_version(), self.is_no_rolename(), self.is_root_connected_to_all_tasks(), self.is_using_instance(), self.is_condition_branches_handled(), self.is_delete_context_all_in_playbook(), self.are_tests_configured(), self.is_script_id_valid(id_set_file), self._is_id_uuid(), self._is_taskid_equals_id(), ] answers = all(modified_playbook_checks) return answers def are_tests_configured(self) -> bool: file_type = self.structure_validator.scheme_name if not isinstance(file_type, str): file_type = file_type.value tests = self.current_file.get('tests', []) return self.yml_has_test_key(tests, file_type) def is_id_equals_name(self): return super(PlaybookValidator, self)._is_id_equals_name('playbook') def is_valid_version(self): return self._is_valid_version() def is_no_rolename(self): rolename = self.current_file.get('rolename', None) if rolename: error_message, error_code = Errors.playbook_cant_have_rolename() if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = False return False return True def is_condition_branches_handled(self): is_all_condition_branches_handled: bool = True tasks: Dict = self.current_file.get('tasks', {}) for task in tasks.values(): if task.get('type') == 'condition': if task.get('conditions'): is_all_condition_branches_handled = self.is_builtin_condition_task_branches_handled( task) and is_all_condition_branches_handled elif task.get('message'): is_all_condition_branches_handled = self.is_ask_condition_branches_handled( task) and is_all_condition_branches_handled elif task.get('scriptName'): is_all_condition_branches_handled = self.is_script_condition_branches_handled( task) and is_all_condition_branches_handled return is_all_condition_branches_handled def is_builtin_condition_task_branches_handled(self, task: Dict) -> bool: is_all_condition_branches_handled: bool = True ition.get('label') if label: task_condition_labels.add(str(label).upper()) # REMOVE all used condition branches from task_condition_labels (UPPER) next_tasks: Dict = task.get('nexttasks', {}) for next_task_branch in next_tasks.keys(): try: if next_task_branch: # Need to cast it to string because otherwise it's parsed as boolean task_condition_labels.remove(str(next_task_branch).upper()) except KeyError as e: if ' continue error_message, error_code = Errors.playbook_unreachable_condition(task.get('id'), next_task_branch) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False # if there are task_condition_labels left then not all branches are handled if task_condition_labels: error_message, error_code = Errors.playbook_unhandled_condition(task.get('id'), task_condition_labels) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False return is_all_condition_branches_handled def is_ask_condition_branches_handled(self, task: Dict) -> bool: is_all_condition_branches_handled: bool = True next_tasks: Dict = task.get('nexttasks', {}) # if default is handled, then it means all branches are being handled if 'rn is_all_condition_branches_handled # ADD all replyOptions to unhandled_reply_options (UPPER) unhandled_reply_options = set(map(str.upper, task.get('message', {}).get('replyOptions', []))) # Remove all nexttasks from unhandled_reply_options (UPPER) for next_task_branch, next_task_id in next_tasks.items(): try: if next_task_id: unhandled_reply_options.remove(next_task_branch.upper()) except KeyError: error_message, error_code = Errors.playbook_unreachable_condition(task.get('id'), next_task_branch) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False if unhandled_reply_options: error_message, error_code = Errors.playbook_unhandled_condition(task.get('id'), unhandled_reply_options) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False return is_all_condition_branches_handled def is_script_condition_branches_handled(self, task: Dict) -> bool: is_all_condition_branches_handled: bool = True next_tasks: Dict = task.get('nexttasks', {}) if 'ssage, error_code = Errors.playbook_unhandled_condition(task.get('id'), {'else'}) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False if len(next_tasks) < 2: # there should be at least 2 next tasks, we don't know what condition is missing, but we know it's missing error_message, error_code = Errors.playbook_unhandled_condition(task.get('id'), {}) if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = is_all_condition_branches_handled = False return is_all_condition_branches_handled def is_root_connected_to_all_tasks(self): # type: () -> bool start_task_id = self.current_file.get('starttaskid') tasks = self.current_file.get('tasks', {}) tasks_bucket = set() next_tasks_bucket = set() for task_id, task in tasks.items(): if task_id != start_task_id: tasks_bucket.add(task_id) next_tasks = task.get('nexttasks', {}) for next_task_ids in next_tasks.values(): if next_task_ids: next_tasks_bucket.update(next_task_ids) orphan_tasks = tasks_bucket.difference(next_tasks_bucket) if orphan_tasks: error_message, error_code = Errors.playbook_unconnected_tasks(orphan_tasks) if not self.handle_error(error_message, error_code, file_path=self.file_path): return False return tasks_bucket.issubset(next_tasks_bucket) def is_valid_as_deprecated(self) -> bool: is_valid = True is_hidden = self.current_file.get('hidden', False) description = self.current_file.get('description', '') if is_hidden: if not description.startswith('Deprecated.'): error_message, error_code = Errors.invalid_deprecated_playbook() if self.handle_error(error_message, error_code, file_path=self.file_path): is_valid = False return is_valid def is_delete_context_all_in_playbook(self) -> bool: tasks: Dict = self.current_file.get('tasks', {}) for task in tasks.values(): curr_task = task.get('task', {}) scriptargs = task.get('scriptarguments', {}) if curr_task and scriptargs and curr_task.get('scriptName', '') == 'DeleteContext' \ and scriptargs.get('all', {}).get('simple', '') == 'yes': error_message, error_code = Errors.playbook_cant_have_deletecontext_all() if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = False return False return True def is_using_instance(self) -> bool: tasks: Dict = self.current_file.get('tasks', {}) for task in tasks.values(): scriptargs = task.get('scriptarguments', {}) if scriptargs and scriptargs.get('using', {}): error_message, error_code = Errors.using_instance_in_playbook() if self.handle_error(error_message, error_code, file_path=self.file_path): self.is_valid = False return False return True def is_script_id_valid(self, id_set_file): is_valid = True if not id_set_file: click.secho("Skipping playbook script id validation. Could not read id_set.json.", fg="yellow") return is_valid id_set_scripts = id_set_file.get("scripts") pb_tasks = self.current_file.get('tasks', {}) for id, task_dict in pb_tasks.items(): pb_task = task_dict.get('task', {}) script_id_used_in_task = pb_task.get('script') task_script_name = pb_task.get('scriptName') script_entry_to_check = script_id_used_in_task if script_id_used_in_task else task_script_name # i.e # script id or script name integration_script_flag = "|||" # skipping all builtin integration scripts is_script_id_should_be_checked = script_id_used_in_task and integration_script_flag not in script_id_used_in_task if is_script_id_should_be_checked: is_valid = self.check_script_id(script_id_used_in_task, id_set_scripts) elif task_script_name and integration_script_flag not in task_script_name: is_valid = self.check_script_name(task_script_name, id_set_scripts) if not is_valid: error_message, error_code = Errors.invalid_script_id(script_entry_to_check, pb_task) if self.handle_error(error_message, error_code, file_path=self.file_path): return is_valid return is_valid def check_script_id(self, script_id_used_in_task, id_set_scripts): return any([script_id_used_in_task in id_set_dict for id_set_dict in id_set_scripts]) def check_script_name(self, pb_script_name, id_set_scripts): return any( [pb_script_name == id_set_dict[key].get('name') for id_set_dict in id_set_scripts for key in id_set_dict]) def _is_id_uuid(self): is_valid = True tasks: dict = self.current_file.get('tasks', {}) for task_key, task in tasks.items(): taskid = str(task.get('taskid', '')) inner_id = str(task.get('task', {}).get('id', '')) is_valid_task = is_string_uuid(taskid) and is_string_uuid(inner_id) if not is_valid_task: is_valid = is_valid_task error_message, error_code = Errors.invalid_uuid(task_key, taskid, inner_id) self.handle_error(error_message, error_code, file_path=self.file_path) # Does not break after one # invalid task in order to raise error for all the invalid tasks at the file return is_valid def _is_taskid_equals_id(self): is_valid = True tasks: dict = self.current_file.get('tasks', {}) for task_key, task in tasks.items(): taskid = task.get('taskid', '') inner_id = task.get('task', {}).get('id', '') is_valid_task = (taskid == inner_id) if not is_valid_task: is_valid = is_valid_task error_message, error_code = Errors.taskid_different_from_id(task_key, taskid, inner_id) self.handle_error(error_message, error_code, file_path=self.file_path) # Does not break after one # invalid task in order to raise error for all the invalid tasks at the file return is_valid

true

f7fc1279e56250b31cbe02595988d8f3a81cb8cd

2,042

py

Python

network/views/device.py

Atilla106/members.atilla.org

980fe41e7651b55b7c61b256fff026fdfe888a5f

[ "MIT" ]

1

2017-03-25T23:26:40.000Z

network/views/device.py

Atilla106/members.atilla.org

980fe41e7651b55b7c61b256fff026fdfe888a5f

[ "MIT" ]

1

2020-06-05T17:14:04.000Z

network/views/device.py

Atilla106/members.atilla.org

980fe41e7651b55b7c61b256fff026fdfe888a5f

[ "MIT" ]

null

'''Views for the device model.''' from django.contrib.auth.mixins import LoginRequiredMixin from django.core.exceptions import ValidationError from django.core.urlresolvers import reverse_lazy from django.shortcuts import get_object_or_404 from django.views import generic from ..forms.device import DeviceForm from ..models.device import Device class DeviceView(LoginRequiredMixin, generic.ListView): template_name = 'network/devices.html' context_object_name = 'user_devices_list' def get_queryset(self): return Device.objects.filter(user=self.request.user) class DeviceDetailView(LoginRequiredMixin, generic.DetailView): model = Device def get_object(self, queryset=None): return get_object_or_404( Device, pk=self.kwargs['pk'], user=self.request.user, ) class DeviceCreateView(LoginRequiredMixin, generic.edit.CreateView): '''Add the current user as device owner.''' form_class = DeviceForm model = Device def form_valid(self, form): device = form.save(commit=False) device.user = self.request.user try: device.full_clean() except ValidationError as e: form.add_error('device_name', str(e)) return super(DeviceCreateView, self).form_invalid(form) return super(DeviceCreateView, self).form_valid(form) class DeviceUpdateView(LoginRequiredMixin, generic.edit.UpdateView): success_url = reverse_lazy('network:index') fields = ['device_name', 'description'] def get_object(self, queryset=None): return get_object_or_404( Device, pk=self.kwargs['pk'], user=self.request.user, ) class DeviceDeleteView(LoginRequiredMixin, generic.edit.DeleteView): success_url = reverse_lazy('network:index') model = Device def get_object(self, queryset=None): return get_object_or_404( Device, pk=self.kwargs['pk'], user=self.request.user, )

28.760563

68

0.682174

from django.contrib.auth.mixins import LoginRequiredMixin from django.core.exceptions import ValidationError from django.core.urlresolvers import reverse_lazy from django.shortcuts import get_object_or_404 from django.views import generic from ..forms.device import DeviceForm from ..models.device import Device class DeviceView(LoginRequiredMixin, generic.ListView): template_name = 'network/devices.html' context_object_name = 'user_devices_list' def get_queryset(self): return Device.objects.filter(user=self.request.user) class DeviceDetailView(LoginRequiredMixin, generic.DetailView): model = Device def get_object(self, queryset=None): return get_object_or_404( Device, pk=self.kwargs['pk'], user=self.request.user, ) class DeviceCreateView(LoginRequiredMixin, generic.edit.CreateView): form_class = DeviceForm model = Device def form_valid(self, form): device = form.save(commit=False) device.user = self.request.user try: device.full_clean() except ValidationError as e: form.add_error('device_name', str(e)) return super(DeviceCreateView, self).form_invalid(form) return super(DeviceCreateView, self).form_valid(form) class DeviceUpdateView(LoginRequiredMixin, generic.edit.UpdateView): success_url = reverse_lazy('network:index') fields = ['device_name', 'description'] def get_object(self, queryset=None): return get_object_or_404( Device, pk=self.kwargs['pk'], user=self.request.user, ) class DeviceDeleteView(LoginRequiredMixin, generic.edit.DeleteView): success_url = reverse_lazy('network:index') model = Device def get_object(self, queryset=None): return get_object_or_404( Device, pk=self.kwargs['pk'], user=self.request.user, )

true

f7fc12b125c7cc87409b9f040d50d5a20f3668c1

336

py

Python

entity/cards/LETL_005H/LETL_653.py

x014/lushi_script

edab2b88e3f0de8139de2541ab2daa331f777c0e

[ "MIT" ]

102

2021-10-20T09:06:39.000Z

2022-03-28T13:35:11.000Z

entity/cards/LETL_005H/LETL_653.py

x014/lushi_script

edab2b88e3f0de8139de2541ab2daa331f777c0e

[ "MIT" ]

98

2021-10-19T16:13:27.000Z

2022-03-27T13:27:49.000Z

entity/cards/LETL_005H/LETL_653.py

x014/lushi_script

edab2b88e3f0de8139de2541ab2daa331f777c0e

[ "MIT" ]

55

2021-10-19T03:56:50.000Z

2022-03-25T08:25:26.000Z

# -*- coding: utf-8 -*- from hearthstone.entities import Entity from entity.spell_entity import SpellEntity class LETL_653(SpellEntity): """ 法力魔棒4 奥术箭额外获得<b>+4奥术伤害</b>，但具有+1冷却。 """ def __init__(self, entity: Entity): super().__init__(entity) def equip(self, hero): pass

17.684211

43

0.592262

from hearthstone.entities import Entity from entity.spell_entity import SpellEntity class LETL_653(SpellEntity): def __init__(self, entity: Entity): super().__init__(entity) def equip(self, hero): pass

true

f7fc12cc525feefd8b7ff7127169544311fd37da

5,251

py

Python

src/utils.py

dromosys/open-solution-home-credit

3d4cc129727c2cef16629af372ad8a9c9f14f83c

[ "MIT" ]

1

2018-08-23T17:10:34.000Z

src/utils.py

dromosys/open-solution-home-credit

3d4cc129727c2cef16629af372ad8a9c9f14f83c

[ "MIT" ]

null

src/utils.py

dromosys/open-solution-home-credit

3d4cc129727c2cef16629af372ad8a9c9f14f83c

[ "MIT" ]

2

2018-07-19T15:57:24.000Z

2018-08-22T10:31:05.000Z

import logging import os import random import sys import multiprocessing as mp from functools import reduce import glob import numpy as np import pandas as pd from tqdm import tqdm import yaml from attrdict import AttrDict def create_submission(meta, predictions): submission = pd.DataFrame({'SK_ID_CURR': meta['SK_ID_CURR'].tolist(), 'TARGET': predictions }) return submission def verify_submission(submission, sample_submission): assert submission.shape == sample_submission.shape, \ 'Expected submission to have shape {} but got {}'.format(sample_submission.shape, submission.shape) for submission_id, correct_id in zip(submission['SK_ID_CURR'].values, sample_submission['SK_ID_CURR'].values): assert correct_id == submission_id, \ 'Wrong id: expected {} but got {}'.format(correct_id, submission_id) def get_logger(): return logging.getLogger('home-credit') def init_logger(): logger = logging.getLogger('home-credit') logger.setLevel(logging.INFO) message_format = logging.Formatter(fmt='%(asctime)s %(name)s >>> %(message)s', datefmt='%Y-%m-%d %H-%M-%S') # console handler for validation info ch_va = logging.StreamHandler(sys.stdout) ch_va.setLevel(logging.INFO) ch_va.setFormatter(fmt=message_format) # add the handlers to the logger logger.addHandler(ch_va) return logger def read_params(ctx, fallback_file): if ctx.params.__class__.__name__ == 'OfflineContextParams': neptune_config = read_yaml(fallback_file) params = neptune_config.parameters else: params = ctx.params return params def read_yaml(filepath): with open(filepath) as f: config = yaml.load(f) return AttrDict(config) def parameter_eval(param): try: return eval(param) except Exception: return param def persist_evaluation_predictions(experiment_directory, y_pred, raw_data, id_column, target_column): raw_data.loc[:, 'y_pred'] = y_pred.reshape(-1) predictions_df = raw_data.loc[:, [id_column, target_column, 'y_pred']] filepath = os.path.join(experiment_directory, 'evaluation_predictions.csv') logging.info('evaluation predictions csv shape: {}'.format(predictions_df.shape)) predictions_df.to_csv(filepath, index=None) def set_seed(seed=90210): random.seed(seed) np.random.seed(seed) def calculate_rank(predictions): rank = (1 + predictions.rank().values) / (predictions.shape[0] + 1) return rank def chunk_groups(groupby_object, chunk_size): n_groups = groupby_object.ngroups group_chunk, index_chunk = [], [] for i, (index, df) in enumerate(groupby_object): group_chunk.append(df) index_chunk.append(index) if (i + 1) % chunk_size == 0 or i + 1 == n_groups: group_chunk_, index_chunk_ = group_chunk.copy(), index_chunk.copy() group_chunk, index_chunk = [], [] yield index_chunk_, group_chunk_ def parallel_apply(groups, func, index_name='Index', num_workers=1, chunk_size=10000): n_chunks = np.ceil(1.0 * groups.ngroups / chunk_size) indeces, features = [], [] num_workers=4 print('exec chunk_size:' + str(chunk_size) + ' num_workers:' + str(num_workers)) for index_chunk, groups_chunk in tqdm(chunk_groups(groups, chunk_size), total=n_chunks): with mp.pool.Pool(num_workers) as executor: features_chunk = executor.map(func, groups_chunk) features.extend(features_chunk) indeces.extend(index_chunk) features = pd.DataFrame(features) features.index = indeces features.index.name = index_name return features def read_oof_predictions(prediction_dir, train_filepath, id_column, target_column): labels = pd.read_csv(train_filepath, usecols=[id_column, target_column]) filepaths_train, filepaths_test = [], [] for filepath in sorted(glob.glob('{}/*'.format(prediction_dir))): if filepath.endswith('_oof_train.csv'): filepaths_train.append(filepath) elif filepath.endswith('_oof_test.csv'): filepaths_test.append(filepath) train_dfs = [] for filepath in filepaths_train: train_dfs.append(pd.read_csv(filepath)) train_dfs = reduce(lambda df1, df2: pd.merge(df1, df2, on=[id_column, 'fold_id']), train_dfs) train_dfs.columns = _clean_columns(train_dfs, keep_colnames=[id_column, 'fold_id']) train_dfs = pd.merge(train_dfs, labels, on=[id_column]) test_dfs = [] for filepath in filepaths_test: test_dfs.append(pd.read_csv(filepath)) test_dfs = reduce(lambda df1, df2: pd.merge(df1, df2, on=[id_column, 'fold_id']), test_dfs) test_dfs.columns = _clean_columns(test_dfs, keep_colnames=[id_column, 'fold_id']) return train_dfs, test_dfs def _clean_columns(df, keep_colnames): new_colnames = keep_colnames feature_colnames = df.drop(keep_colnames, axis=1).columns for i, colname in enumerate(feature_colnames): new_colnames.append('model_{}'.format(i)) return new_colnames def safe_div(a, b): try: return float(a) / float(b) except: return 0.0

32.614907

114

0.686917

import logging import os import random import sys import multiprocessing as mp from functools import reduce import glob import numpy as np import pandas as pd from tqdm import tqdm import yaml from attrdict import AttrDict def create_submission(meta, predictions): submission = pd.DataFrame({'SK_ID_CURR': meta['SK_ID_CURR'].tolist(), 'TARGET': predictions }) return submission def verify_submission(submission, sample_submission): assert submission.shape == sample_submission.shape, \ 'Expected submission to have shape {} but got {}'.format(sample_submission.shape, submission.shape) for submission_id, correct_id in zip(submission['SK_ID_CURR'].values, sample_submission['SK_ID_CURR'].values): assert correct_id == submission_id, \ 'Wrong id: expected {} but got {}'.format(correct_id, submission_id) def get_logger(): return logging.getLogger('home-credit') def init_logger(): logger = logging.getLogger('home-credit') logger.setLevel(logging.INFO) message_format = logging.Formatter(fmt='%(asctime)s %(name)s >>> %(message)s', datefmt='%Y-%m-%d %H-%M-%S') ch_va = logging.StreamHandler(sys.stdout) ch_va.setLevel(logging.INFO) ch_va.setFormatter(fmt=message_format) logger.addHandler(ch_va) return logger def read_params(ctx, fallback_file): if ctx.params.__class__.__name__ == 'OfflineContextParams': neptune_config = read_yaml(fallback_file) params = neptune_config.parameters else: params = ctx.params return params def read_yaml(filepath): with open(filepath) as f: config = yaml.load(f) return AttrDict(config) def parameter_eval(param): try: return eval(param) except Exception: return param def persist_evaluation_predictions(experiment_directory, y_pred, raw_data, id_column, target_column): raw_data.loc[:, 'y_pred'] = y_pred.reshape(-1) predictions_df = raw_data.loc[:, [id_column, target_column, 'y_pred']] filepath = os.path.join(experiment_directory, 'evaluation_predictions.csv') logging.info('evaluation predictions csv shape: {}'.format(predictions_df.shape)) predictions_df.to_csv(filepath, index=None) def set_seed(seed=90210): random.seed(seed) np.random.seed(seed) def calculate_rank(predictions): rank = (1 + predictions.rank().values) / (predictions.shape[0] + 1) return rank def chunk_groups(groupby_object, chunk_size): n_groups = groupby_object.ngroups group_chunk, index_chunk = [], [] for i, (index, df) in enumerate(groupby_object): group_chunk.append(df) index_chunk.append(index) if (i + 1) % chunk_size == 0 or i + 1 == n_groups: group_chunk_, index_chunk_ = group_chunk.copy(), index_chunk.copy() group_chunk, index_chunk = [], [] yield index_chunk_, group_chunk_ def parallel_apply(groups, func, index_name='Index', num_workers=1, chunk_size=10000): n_chunks = np.ceil(1.0 * groups.ngroups / chunk_size) indeces, features = [], [] num_workers=4 print('exec chunk_size:' + str(chunk_size) + ' num_workers:' + str(num_workers)) for index_chunk, groups_chunk in tqdm(chunk_groups(groups, chunk_size), total=n_chunks): with mp.pool.Pool(num_workers) as executor: features_chunk = executor.map(func, groups_chunk) features.extend(features_chunk) indeces.extend(index_chunk) features = pd.DataFrame(features) features.index = indeces features.index.name = index_name return features def read_oof_predictions(prediction_dir, train_filepath, id_column, target_column): labels = pd.read_csv(train_filepath, usecols=[id_column, target_column]) filepaths_train, filepaths_test = [], [] for filepath in sorted(glob.glob('{}/*'.format(prediction_dir))): if filepath.endswith('_oof_train.csv'): filepaths_train.append(filepath) elif filepath.endswith('_oof_test.csv'): filepaths_test.append(filepath) train_dfs = [] for filepath in filepaths_train: train_dfs.append(pd.read_csv(filepath)) train_dfs = reduce(lambda df1, df2: pd.merge(df1, df2, on=[id_column, 'fold_id']), train_dfs) train_dfs.columns = _clean_columns(train_dfs, keep_colnames=[id_column, 'fold_id']) train_dfs = pd.merge(train_dfs, labels, on=[id_column]) test_dfs = [] for filepath in filepaths_test: test_dfs.append(pd.read_csv(filepath)) test_dfs = reduce(lambda df1, df2: pd.merge(df1, df2, on=[id_column, 'fold_id']), test_dfs) test_dfs.columns = _clean_columns(test_dfs, keep_colnames=[id_column, 'fold_id']) return train_dfs, test_dfs def _clean_columns(df, keep_colnames): new_colnames = keep_colnames feature_colnames = df.drop(keep_colnames, axis=1).columns for i, colname in enumerate(feature_colnames): new_colnames.append('model_{}'.format(i)) return new_colnames def safe_div(a, b): try: return float(a) / float(b) except: return 0.0

true

f7fc137a0ee3d56a3703c008cd01a23ddb141811

1,260

py

Python

utils_backdoor.py

ByzanTine/backdoor

fe3384f1fd7ebfbde2da783823a68ae258ca2896

[ "MIT" ]

1

2019-10-23T05:09:47.000Z

utils_backdoor.py

ByzanTine/backdoor

fe3384f1fd7ebfbde2da783823a68ae258ca2896

[ "MIT" ]

null

utils_backdoor.py

ByzanTine/backdoor

fe3384f1fd7ebfbde2da783823a68ae258ca2896

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2018-11-05 11:30:01 # @Author : Bolun Wang (bolunwang@cs.ucsb.edu) # @Link : http://cs.ucsb.edu/~bolunwang import tensorflow as tf import numpy as np from keras.preprocessing import image import h5py def dump_image(x, filename, format): img = image.array_to_img(x, scale=False) img.save(filename, format) return def fix_gpu_memory(mem_fraction=1): import keras.backend as K gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=mem_fraction) tf_config = tf.ConfigProto(gpu_options=gpu_options) tf_config.gpu_options.allow_growth = True tf_config.log_device_placement = False tf_config.allow_soft_placement = True init_op = tf.global_variables_initializer() sess = tf.Session(config=tf_config) sess.run(init_op) K.set_session(sess) return sess def load_dataset(data_filename, keys=None): ''' assume all datasets are numpy arrays ''' dataset = {} with h5py.File(data_filename) as hf: if keys is None: for name in hf: dataset[name] = np.array(hf.get(name)) else: for name in keys: dataset[name] = np.array(hf.get(name)) return dataset

24.230769

77

0.670635

import tensorflow as tf import numpy as np from keras.preprocessing import image import h5py def dump_image(x, filename, format): img = image.array_to_img(x, scale=False) img.save(filename, format) return def fix_gpu_memory(mem_fraction=1): import keras.backend as K gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=mem_fraction) tf_config = tf.ConfigProto(gpu_options=gpu_options) tf_config.gpu_options.allow_growth = True tf_config.log_device_placement = False tf_config.allow_soft_placement = True init_op = tf.global_variables_initializer() sess = tf.Session(config=tf_config) sess.run(init_op) K.set_session(sess) return sess def load_dataset(data_filename, keys=None): dataset = {} with h5py.File(data_filename) as hf: if keys is None: for name in hf: dataset[name] = np.array(hf.get(name)) else: for name in keys: dataset[name] = np.array(hf.get(name)) return dataset

true

f7fc13b290d8a8cbae4cdc41c98abac87f368058

952

py

Python

singleFunctions/connect.py

endocode/debian-feeder

ce2c0fee80b5958db564c4fdf95166f112721757

[ "MIT" ]

null

singleFunctions/connect.py

endocode/debian-feeder

ce2c0fee80b5958db564c4fdf95166f112721757

[ "MIT" ]

null

singleFunctions/connect.py

endocode/debian-feeder

ce2c0fee80b5958db564c4fdf95166f112721757

[ "MIT" ]

null

#!/usr/bin/python import psycopg2 from config import config def connect(): """ Connect to the PostgreSQL database server """ conn = None try: # read connection parameters params = config() # connect to the PostgreSQL server print('Connecting to the PostgreSQL database...') conn = psycopg2.connect(**params) # create a cursor cur = conn.cursor() # execute a statement print('PostgreSQL database version:') cur.execute('SELECT version()') # display the PostgreSQL database server version db_version = cur.fetchone() print(db_version) # close the communication with the PostgreSQL cur.close() except (Exception, psycopg2.DatabaseError) as error: print(error) finally: if conn is not None: conn.close() print('Database connection closed.') if __name__ == '__main__': connect()

24.410256

57

0.618697

import psycopg2 from config import config def connect(): conn = None try: params = config() print('Connecting to the PostgreSQL database...') conn = psycopg2.connect(**params) cur = conn.cursor() print('PostgreSQL database version:') cur.execute('SELECT version()') db_version = cur.fetchone() print(db_version) cur.close() except (Exception, psycopg2.DatabaseError) as error: print(error) finally: if conn is not None: conn.close() print('Database connection closed.') if __name__ == '__main__': connect()

true

f7fc13d66f4ba8778d63027ffdb7ebbfc38e8ad6

6,934

py

Python

sympy/vector/tests/test_vector.py

bigfooted/sympy

1fb2490fa2fa9b476da450f02a25b03c1dc07cf0

[ "BSD-3-Clause" ]

603

2020-12-23T13:49:32.000Z

2022-03-31T23:38:03.000Z

sympy/vector/tests/test_vector.py

bigfooted/sympy

1fb2490fa2fa9b476da450f02a25b03c1dc07cf0

[ "BSD-3-Clause" ]

387

2020-12-15T14:54:04.000Z

2022-03-31T07:00:21.000Z

sympy/vector/tests/test_vector.py

bigfooted/sympy

1fb2490fa2fa9b476da450f02a25b03c1dc07cf0

[ "BSD-3-Clause" ]

35

2021-03-26T03:12:04.000Z

2022-03-23T10:15:10.000Z

from sympy.core import Rational from sympy.simplify import simplify, trigsimp from sympy import pi, sqrt, symbols, ImmutableMatrix as Matrix, \ sin, cos, Function, Integral, Derivative, diff from sympy.vector.vector import Vector, BaseVector, VectorAdd, \ VectorMul, VectorZero from sympy.vector.coordsysrect import CoordSys3D from sympy.vector.vector import Cross, Dot, cross from sympy.testing.pytest import raises C = CoordSys3D('C') i, j, k = C.base_vectors() a, b, c = symbols('a b c') def test_cross(): v1 = C.x * i + C.z * C.z * j v2 = C.x * i + C.y * j + C.z * k assert Cross(v1, v2) == Cross(C.x*C.i + C.z**2*C.j, C.x*C.i + C.y*C.j + C.z*C.k) assert Cross(v1, v2).doit() == C.z**3*C.i + (-C.x*C.z)*C.j + (C.x*C.y - C.x*C.z**2)*C.k assert cross(v1, v2) == C.z**3*C.i + (-C.x*C.z)*C.j + (C.x*C.y - C.x*C.z**2)*C.k assert Cross(v1, v2) == -Cross(v2, v1) assert Cross(v1, v2) + Cross(v2, v1) == Vector.zero def test_dot(): v1 = C.x * i + C.z * C.z * j v2 = C.x * i + C.y * j + C.z * k assert Dot(v1, v2) == Dot(C.x*C.i + C.z**2*C.j, C.x*C.i + C.y*C.j + C.z*C.k) assert Dot(v1, v2).doit() == C.x**2 + C.y*C.z**2 assert Dot(v1, v2).doit() == C.x**2 + C.y*C.z**2 assert Dot(v1, v2) == Dot(v2, v1) def test_vector_sympy(): """ Test whether the Vector framework confirms to the hashing and equality testing properties of SymPy. """ v1 = 3*j assert v1 == j*3 assert v1.components == {j: 3} v2 = 3*i + 4*j + 5*k v3 = 2*i + 4*j + i + 4*k + k assert v3 == v2 assert v3.__hash__() == v2.__hash__() def test_vector(): assert isinstance(i, BaseVector) assert i != j assert j != k assert k != i assert i - i == Vector.zero assert i + Vector.zero == i assert i - Vector.zero == i assert Vector.zero != 0 assert -Vector.zero == Vector.zero v1 = a*i + b*j + c*k v2 = a**2*i + b**2*j + c**2*k v3 = v1 + v2 v4 = 2 * v1 v5 = a * i assert isinstance(v1, VectorAdd) assert v1 - v1 == Vector.zero assert v1 + Vector.zero == v1 assert v1.dot(i) == a assert v1.dot(j) == b assert v1.dot(k) == c assert i.dot(v2) == a**2 assert j.dot(v2) == b**2 assert k.dot(v2) == c**2 assert v3.dot(i) == a**2 + a assert v3.dot(j) == b**2 + b assert v3.dot(k) == c**2 + c assert v1 + v2 == v2 + v1 assert v1 - v2 == -1 * (v2 - v1) assert a * v1 == v1 * a assert isinstance(v5, VectorMul) assert v5.base_vector == i assert v5.measure_number == a assert isinstance(v4, Vector) assert isinstance(v4, VectorAdd) assert isinstance(v4, Vector) assert isinstance(Vector.zero, VectorZero) assert isinstance(Vector.zero, Vector) assert isinstance(v1 * 0, VectorZero) assert v1.to_matrix(C) == Matrix([[a], [b], [c]]) assert i.components == {i: 1} assert v5.components == {i: a} assert v1.components == {i: a, j: b, k: c} assert VectorAdd(v1, Vector.zero) == v1 assert VectorMul(a, v1) == v1*a assert VectorMul(1, i) == i assert VectorAdd(v1, Vector.zero) == v1 assert VectorMul(0, Vector.zero) == Vector.zero raises(TypeError, lambda: v1.outer(1)) raises(TypeError, lambda: v1.dot(1)) def test_vector_magnitude_normalize(): assert Vector.zero.magnitude() == 0 assert Vector.zero.normalize() == Vector.zero assert i.magnitude() == 1 assert j.magnitude() == 1 assert k.magnitude() == 1 assert i.normalize() == i assert j.normalize() == j assert k.normalize() == k v1 = a * i assert v1.normalize() == (a/sqrt(a**2))*i assert v1.magnitude() == sqrt(a**2) v2 = a*i + b*j + c*k assert v2.magnitude() == sqrt(a**2 + b**2 + c**2) assert v2.normalize() == v2 / v2.magnitude() v3 = i + j assert v3.normalize() == (sqrt(2)/2)*C.i + (sqrt(2)/2)*C.j def test_vector_simplify(): A, s, k, m = symbols('A, s, k, m') test1 = (1 / a + 1 / b) * i assert (test1 & i) != (a + b) / (a * b) test1 = simplify(test1) assert (test1 & i) == (a + b) / (a * b) assert test1.simplify() == simplify(test1) test2 = (A**2 * s**4 / (4 * pi * k * m**3)) * i test2 = simplify(test2) assert (test2 & i) == (A**2 * s**4 / (4 * pi * k * m**3)) test3 = ((4 + 4 * a - 2 * (2 + 2 * a)) / (2 + 2 * a)) * i test3 = simplify(test3) assert (test3 & i) == 0 test4 = ((-4 * a * b**2 - 2 * b**3 - 2 * a**2 * b) / (a + b)**2) * i test4 = simplify(test4) assert (test4 & i) == -2 * b v = (sin(a)+cos(a))**2*i - j assert trigsimp(v) == (2*sin(a + pi/4)**2)*i + (-1)*j assert trigsimp(v) == v.trigsimp() assert simplify(Vector.zero) == Vector.zero def test_vector_dot(): assert i.dot(Vector.zero) == 0 assert Vector.zero.dot(i) == 0 assert i & Vector.zero == 0 assert i.dot(i) == 1 assert i.dot(j) == 0 assert i.dot(k) == 0 assert i & i == 1 assert i & j == 0 assert i & k == 0 assert j.dot(i) == 0 assert j.dot(j) == 1 assert j.dot(k) == 0 assert j & i == 0 assert j & j == 1 assert j & k == 0 assert k.dot(i) == 0 assert k.dot(j) == 0 assert k.dot(k) == 1 assert k & i == 0 assert k & j == 0 assert k & k == 1 raises(TypeError, lambda: k.dot(1)) def test_vector_cross(): assert i.cross(Vector.zero) == Vector.zero assert Vector.zero.cross(i) == Vector.zero assert i.cross(i) == Vector.zero assert i.cross(j) == k assert i.cross(k) == -j assert i ^ i == Vector.zero assert i ^ j == k assert i ^ k == -j assert j.cross(i) == -k assert j.cross(j) == Vector.zero assert j.cross(k) == i assert j ^ i == -k assert j ^ j == Vector.zero assert j ^ k == i assert k.cross(i) == j assert k.cross(j) == -i assert k.cross(k) == Vector.zero assert k ^ i == j assert k ^ j == -i assert k ^ k == Vector.zero assert k.cross(1) == Cross(k, 1) def test_projection(): v1 = i + j + k v2 = 3*i + 4*j v3 = 0*i + 0*j assert v1.projection(v1) == i + j + k assert v1.projection(v2) == Rational(7, 3)*C.i + Rational(7, 3)*C.j + Rational(7, 3)*C.k assert v1.projection(v1, scalar=True) == 1 assert v1.projection(v2, scalar=True) == Rational(7, 3) assert v3.projection(v1) == Vector.zero def test_vector_diff_integrate(): f = Function('f') v = f(a)*C.i + a**2*C.j - C.k assert Derivative(v, a) == Derivative((f(a))*C.i + a**2*C.j + (-1)*C.k, a) assert (diff(v, a) == v.diff(a) == Derivative(v, a).doit() == (Derivative(f(a), a))*C.i + 2*a*C.j) assert (Integral(v, a) == (Integral(f(a), a))*C.i + (Integral(a**2, a))*C.j + (Integral(-1, a))*C.k) def test_vector_args(): raises(ValueError, lambda: BaseVector(3, C)) raises(TypeError, lambda: BaseVector(0, Vector.zero))

28.652893

92

0.54413

from sympy.core import Rational from sympy.simplify import simplify, trigsimp from sympy import pi, sqrt, symbols, ImmutableMatrix as Matrix, \ sin, cos, Function, Integral, Derivative, diff from sympy.vector.vector import Vector, BaseVector, VectorAdd, \ VectorMul, VectorZero from sympy.vector.coordsysrect import CoordSys3D from sympy.vector.vector import Cross, Dot, cross from sympy.testing.pytest import raises C = CoordSys3D('C') i, j, k = C.base_vectors() a, b, c = symbols('a b c') def test_cross(): v1 = C.x * i + C.z * C.z * j v2 = C.x * i + C.y * j + C.z * k assert Cross(v1, v2) == Cross(C.x*C.i + C.z**2*C.j, C.x*C.i + C.y*C.j + C.z*C.k) assert Cross(v1, v2).doit() == C.z**3*C.i + (-C.x*C.z)*C.j + (C.x*C.y - C.x*C.z**2)*C.k assert cross(v1, v2) == C.z**3*C.i + (-C.x*C.z)*C.j + (C.x*C.y - C.x*C.z**2)*C.k assert Cross(v1, v2) == -Cross(v2, v1) assert Cross(v1, v2) + Cross(v2, v1) == Vector.zero def test_dot(): v1 = C.x * i + C.z * C.z * j v2 = C.x * i + C.y * j + C.z * k assert Dot(v1, v2) == Dot(C.x*C.i + C.z**2*C.j, C.x*C.i + C.y*C.j + C.z*C.k) assert Dot(v1, v2).doit() == C.x**2 + C.y*C.z**2 assert Dot(v1, v2).doit() == C.x**2 + C.y*C.z**2 assert Dot(v1, v2) == Dot(v2, v1) def test_vector_sympy(): v1 = 3*j assert v1 == j*3 assert v1.components == {j: 3} v2 = 3*i + 4*j + 5*k v3 = 2*i + 4*j + i + 4*k + k assert v3 == v2 assert v3.__hash__() == v2.__hash__() def test_vector(): assert isinstance(i, BaseVector) assert i != j assert j != k assert k != i assert i - i == Vector.zero assert i + Vector.zero == i assert i - Vector.zero == i assert Vector.zero != 0 assert -Vector.zero == Vector.zero v1 = a*i + b*j + c*k v2 = a**2*i + b**2*j + c**2*k v3 = v1 + v2 v4 = 2 * v1 v5 = a * i assert isinstance(v1, VectorAdd) assert v1 - v1 == Vector.zero assert v1 + Vector.zero == v1 assert v1.dot(i) == a assert v1.dot(j) == b assert v1.dot(k) == c assert i.dot(v2) == a**2 assert j.dot(v2) == b**2 assert k.dot(v2) == c**2 assert v3.dot(i) == a**2 + a assert v3.dot(j) == b**2 + b assert v3.dot(k) == c**2 + c assert v1 + v2 == v2 + v1 assert v1 - v2 == -1 * (v2 - v1) assert a * v1 == v1 * a assert isinstance(v5, VectorMul) assert v5.base_vector == i assert v5.measure_number == a assert isinstance(v4, Vector) assert isinstance(v4, VectorAdd) assert isinstance(v4, Vector) assert isinstance(Vector.zero, VectorZero) assert isinstance(Vector.zero, Vector) assert isinstance(v1 * 0, VectorZero) assert v1.to_matrix(C) == Matrix([[a], [b], [c]]) assert i.components == {i: 1} assert v5.components == {i: a} assert v1.components == {i: a, j: b, k: c} assert VectorAdd(v1, Vector.zero) == v1 assert VectorMul(a, v1) == v1*a assert VectorMul(1, i) == i assert VectorAdd(v1, Vector.zero) == v1 assert VectorMul(0, Vector.zero) == Vector.zero raises(TypeError, lambda: v1.outer(1)) raises(TypeError, lambda: v1.dot(1)) def test_vector_magnitude_normalize(): assert Vector.zero.magnitude() == 0 assert Vector.zero.normalize() == Vector.zero assert i.magnitude() == 1 assert j.magnitude() == 1 assert k.magnitude() == 1 assert i.normalize() == i assert j.normalize() == j assert k.normalize() == k v1 = a * i assert v1.normalize() == (a/sqrt(a**2))*i assert v1.magnitude() == sqrt(a**2) v2 = a*i + b*j + c*k assert v2.magnitude() == sqrt(a**2 + b**2 + c**2) assert v2.normalize() == v2 / v2.magnitude() v3 = i + j assert v3.normalize() == (sqrt(2)/2)*C.i + (sqrt(2)/2)*C.j def test_vector_simplify(): A, s, k, m = symbols('A, s, k, m') test1 = (1 / a + 1 / b) * i assert (test1 & i) != (a + b) / (a * b) test1 = simplify(test1) assert (test1 & i) == (a + b) / (a * b) assert test1.simplify() == simplify(test1) test2 = (A**2 * s**4 / (4 * pi * k * m**3)) * i test2 = simplify(test2) assert (test2 & i) == (A**2 * s**4 / (4 * pi * k * m**3)) test3 = ((4 + 4 * a - 2 * (2 + 2 * a)) / (2 + 2 * a)) * i test3 = simplify(test3) assert (test3 & i) == 0 test4 = ((-4 * a * b**2 - 2 * b**3 - 2 * a**2 * b) / (a + b)**2) * i test4 = simplify(test4) assert (test4 & i) == -2 * b v = (sin(a)+cos(a))**2*i - j assert trigsimp(v) == (2*sin(a + pi/4)**2)*i + (-1)*j assert trigsimp(v) == v.trigsimp() assert simplify(Vector.zero) == Vector.zero def test_vector_dot(): assert i.dot(Vector.zero) == 0 assert Vector.zero.dot(i) == 0 assert i & Vector.zero == 0 assert i.dot(i) == 1 assert i.dot(j) == 0 assert i.dot(k) == 0 assert i & i == 1 assert i & j == 0 assert i & k == 0 assert j.dot(i) == 0 assert j.dot(j) == 1 assert j.dot(k) == 0 assert j & i == 0 assert j & j == 1 assert j & k == 0 assert k.dot(i) == 0 assert k.dot(j) == 0 assert k.dot(k) == 1 assert k & i == 0 assert k & j == 0 assert k & k == 1 raises(TypeError, lambda: k.dot(1)) def test_vector_cross(): assert i.cross(Vector.zero) == Vector.zero assert Vector.zero.cross(i) == Vector.zero assert i.cross(i) == Vector.zero assert i.cross(j) == k assert i.cross(k) == -j assert i ^ i == Vector.zero assert i ^ j == k assert i ^ k == -j assert j.cross(i) == -k assert j.cross(j) == Vector.zero assert j.cross(k) == i assert j ^ i == -k assert j ^ j == Vector.zero assert j ^ k == i assert k.cross(i) == j assert k.cross(j) == -i assert k.cross(k) == Vector.zero assert k ^ i == j assert k ^ j == -i assert k ^ k == Vector.zero assert k.cross(1) == Cross(k, 1) def test_projection(): v1 = i + j + k v2 = 3*i + 4*j v3 = 0*i + 0*j assert v1.projection(v1) == i + j + k assert v1.projection(v2) == Rational(7, 3)*C.i + Rational(7, 3)*C.j + Rational(7, 3)*C.k assert v1.projection(v1, scalar=True) == 1 assert v1.projection(v2, scalar=True) == Rational(7, 3) assert v3.projection(v1) == Vector.zero def test_vector_diff_integrate(): f = Function('f') v = f(a)*C.i + a**2*C.j - C.k assert Derivative(v, a) == Derivative((f(a))*C.i + a**2*C.j + (-1)*C.k, a) assert (diff(v, a) == v.diff(a) == Derivative(v, a).doit() == (Derivative(f(a), a))*C.i + 2*a*C.j) assert (Integral(v, a) == (Integral(f(a), a))*C.i + (Integral(a**2, a))*C.j + (Integral(-1, a))*C.k) def test_vector_args(): raises(ValueError, lambda: BaseVector(3, C)) raises(TypeError, lambda: BaseVector(0, Vector.zero))

true

f7fc13fba897c2d636350d7a91859c90000c85f3

153,686

py

Python

src/tests/presale/test_cart.py

ateuber/pretix

582c7b50f7d1ef19b7fcb445eced8b9075b60054

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

null

src/tests/presale/test_cart.py

ateuber/pretix

582c7b50f7d1ef19b7fcb445eced8b9075b60054

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

null

src/tests/presale/test_cart.py

ateuber/pretix

582c7b50f7d1ef19b7fcb445eced8b9075b60054

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

null

import datetime import json from datetime import timedelta from decimal import Decimal from bs4 import BeautifulSoup from django.test import TestCase from django.utils.timezone import now from django_countries.fields import Country from django_scopes import scopes_disabled from tests.testdummy.signals import FoobarSalesChannel from pretix.base.decimal import round_decimal from pretix.base.models import ( CartPosition, Event, InvoiceAddress, Item, ItemCategory, ItemVariation, Organizer, Question, QuestionAnswer, Quota, SeatingPlan, Voucher, ) from pretix.base.models.items import ( ItemAddOn, ItemBundle, SubEventItem, SubEventItemVariation, ) from pretix.base.services.cart import ( CartError, CartManager, error_messages, update_tax_rates, ) from pretix.testutils.scope import classscope from pretix.testutils.sessions import get_cart_session_key class CartTestMixin: @scopes_disabled() def setUp(self): super().setUp() self.orga = Organizer.objects.create(name='CCC', slug='ccc') self.event = Event.objects.create( organizer=self.orga, name='30C3', slug='30c3', date_from=datetime.datetime(now().year + 1, 12, 26, tzinfo=datetime.timezone.utc), live=True, plugins="pretix.plugins.banktransfer" ) self.tr19 = self.event.tax_rules.create(rate=Decimal('19.00')) self.category = ItemCategory.objects.create(event=self.event, name="Everything", position=0) self.quota_shirts = Quota.objects.create(event=self.event, name='Shirts', size=2) self.shirt = Item.objects.create(event=self.event, name='T-Shirt', category=self.category, default_price=12, tax_rule=self.tr19) self.quota_shirts.items.add(self.shirt) self.shirt_red = ItemVariation.objects.create(item=self.shirt, default_price=14, value='Red') self.shirt_blue = ItemVariation.objects.create(item=self.shirt, value='Blue') self.quota_shirts.variations.add(self.shirt_red) self.quota_shirts.variations.add(self.shirt_blue) self.quota_tickets = Quota.objects.create(event=self.event, name='Tickets', size=5) self.ticket = Item.objects.create(event=self.event, name='Early-bird ticket', category=self.category, default_price=23, tax_rule=self.tr19) self.quota_tickets.items.add(self.ticket) self.quota_all = Quota.objects.create(event=self.event, name='All', size=None) self.quota_all.items.add(self.ticket) self.quota_all.items.add(self.shirt) self.quota_all.variations.add(self.shirt_blue) self.quota_all.variations.add(self.shirt_red) self.client.get('/%s/%s/' % (self.orga.slug, self.event.slug)) self.session_key = get_cart_session_key(self.client, self.event) class CartTest(CartTestMixin, TestCase): def test_after_presale(self): self.event.presale_end = now() - timedelta(days=1) self.event.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) assert 'alert-danger' in response.rendered_content with scopes_disabled(): assert not CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists() def test_after_payment_period(self): self.event.settings.payment_term_last = (now() - datetime.timedelta(days=1)).date().isoformat() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) assert 'alert-danger' in response.rendered_content with scopes_disabled(): assert not CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists() def test_after_event(self): self.event.date_to = now() - timedelta(days=1) self.event.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) assert 'alert-danger' in response.rendered_content with scopes_disabled(): assert not CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists() def test_before_presale(self): self.event.presale_start = now() + timedelta(days=1) self.event.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) assert 'alert-danger' in response.rendered_content with scopes_disabled(): assert not CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists() def test_simple(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_widget_data_post(self): self.event.settings.attendee_names_asked = True self.event.settings.attendee_emails_asked = True with scopes_disabled(): q = self.event.questions.create( event=self.event, question='What is your shoe size?', type=Question.TYPE_NUMBER, required=True ) q.items.add(self.ticket) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'widget_data': json.dumps({ 'attendee-name-full-name': 'John Doe', 'email': 'foo@example.com', 'question-' + q.identifier: '43' }) }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].attendee_email, "foo@example.com") self.assertEqual(objs[0].attendee_name, "John Doe") a = objs[0].answers.first() self.assertEqual(a.answer, "43") self.assertEqual(a.question, q) def test_widget_data_ignored_unknown_or_unasked(self): self.event.settings.attendee_names_asked = False self.event.settings.attendee_emails_asked = False with scopes_disabled(): q = self.event.questions.create( event=self.event, question='What is your shoe size?', type=Question.TYPE_NUMBER, required=True ) q.items.add(self.ticket) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'widget_data': json.dumps({ 'attendee-name-full-name': 'John Doe', 'email': 'foo@example.com', 'question-' + q.identifier: 'bla' }) }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) assert not objs[0].attendee_email assert not objs[0].attendee_name assert not objs[0].answers.exists() def test_widget_data_session(self): self.event.settings.attendee_names_asked = True self.event.settings.attendee_emails_asked = True with scopes_disabled(): q = self.event.questions.create( event=self.event, question='What is your shoe size?', type=Question.TYPE_NUMBER, required=True ) q.items.add(self.ticket) self._set_session('widget_data', { 'attendee-name': 'John Doe', 'email': 'foo@example.com', 'question-' + q.identifier: '43' }) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].attendee_email, "foo@example.com") self.assertEqual(objs[0].attendee_name, "John Doe") a = objs[0].answers.first() self.assertEqual(a.answer, "43") self.assertEqual(a.question, q) def _set_session(self, key, value): session = self.client.session session['carts'][get_cart_session_key(self.client, self.event)][key] = value session.save() def _enable_reverse_charge(self): self.tr19.eu_reverse_charge = True self.tr19.home_country = Country('DE') self.tr19.save() with scopes_disabled(): ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT'), ) self._set_session('invoice_address', ia.pk) return ia def test_reverse_charge(self): self._enable_reverse_charge() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].price, round_decimal(Decimal('23.00') / Decimal('1.19'))) def test_subevent_missing(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.save() q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_subevent(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.save() v = Voucher.objects.create(item=self.ticket, event=self.event, subevent=se) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, 'subevent': se.pk }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].subevent, se) def test_voucher_any_subevent(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event) self.event.has_subevents = True self.event.save() se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, 'subevent': se.pk }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].subevent, se) def test_voucher_wrong_subevent(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) se2 = self.event.subevents.create(name='Foo', date_from=now(), active=True) v = Voucher.objects.create(item=self.ticket, event=self.event, subevent=se2) self.quota_tickets.subevent = se self.quota_tickets.save() se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, 'subevent': se.pk }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_inactive_subevent(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=False) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_ignore_series_date(self): self.event.has_subevents = True self.event.date_to = now() - timedelta(days=1) self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True, presale_end=now() + timedelta(days=1)) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) def test_subevent_payment_period_over(self): self.event.has_subevents = True self.event.save() self.event.settings.payment_term_last = 'RELDATE/1/23:59:59/date_from/' with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_sale_over(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True, presale_end=now() - timedelta(days=1)) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_sale_not_yet(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True, presale_start=now() + timedelta(days=1)) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_simple_subevent(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].subevent, se) def test_subevent_sold_out(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se1 = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se1.quotas.create(name="foo", size=0, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se1.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_other_subevent_sold_out(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se1 = self.event.subevents.create(name='Foo', date_from=now(), active=True) se2 = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se1.quotas.create(name="foo", size=0, event=self.event) q.items.add(self.ticket) q = se2.quotas.create(name="foo", size=100, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se2.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) def test_subevent_no_quota(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se1 = self.event.subevents.create(name='Foo', date_from=now(), active=True) se2 = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se1.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se2.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_disabled(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) SubEventItem.objects.create(subevent=se, item=self.ticket, price=42, disabled=True) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_price(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) SubEventItem.objects.create(subevent=se, item=self.ticket, price=42) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 42) self.assertEqual(objs[0].subevent, se) def test_free_price(self): self.ticket.free_price = True self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '24.00' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('24', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('24', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 24) def test_free_price_only_if_allowed(self): self.ticket.free_price = False self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '24.00' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_free_price_lower_bound(self): self.ticket.free_price = False self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '12.00' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_variation_inactive(self): self.shirt_red.active = False self.shirt_red.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_variation(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Shirt', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('Red', doc.select('.cart .cart-row')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('14', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('14', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) self.assertEqual(objs[0].price, 14) def test_variation_free_price(self): self.shirt.free_price = True self.shirt.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', 'price_%d_%d' % (self.shirt.id, self.shirt_red.id): '16', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Shirt', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('Red', doc.select('.cart .cart-row')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('16', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('16', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) self.assertEqual(objs[0].price, 16) def test_subevent_variation_disabled(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.variations.add(self.shirt_red) SubEventItemVariation.objects.create(subevent=se, variation=self.shirt_red, price=42, disabled=True) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_variation_price(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.variations.add(self.shirt_red) SubEventItemVariation.objects.create(subevent=se, variation=self.shirt_red, price=42) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) self.assertEqual(objs[0].price, 42) self.assertEqual(objs[0].subevent, se) def test_count(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('2', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('46', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 2) for obj in objs: self.assertEqual(obj.item, self.ticket) self.assertIsNone(obj.variation) self.assertEqual(obj.price, 23) def test_multiple(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart')[0].text) self.assertIn('Shirt', doc.select('.cart')[0].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 3) self.assertIn(self.shirt, [obj.item for obj in objs]) self.assertIn(self.shirt_red, [obj.variation for obj in objs]) self.assertIn(self.ticket, [obj.item for obj in objs]) def test_fuzzy_input(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: 'a', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('numbers only', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '-2', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('numbers only', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_blue.id): 'a', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('numbers only', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_a_%d' % (self.shirt_blue.id): '-2', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('numbers only', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('did not select any products', doc.select('.alert-warning')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_wrong_event(self): event2 = Event.objects.create( organizer=self.orga, name='MRMCD', slug='mrmcd', date_from=datetime.datetime(2014, 9, 6, tzinfo=datetime.timezone.utc) ) shirt2 = Item.objects.create(event=event2, name='T-Shirt', default_price=12) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % shirt2.id: '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('not available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_no_quota(self): shirt2 = Item.objects.create(event=self.event, name='T-Shirt', default_price=12) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % shirt2.id: '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_wrong_sales_channel(self): self.ticket.sales_channels = ['bar'] self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_other_sales_channel(self): self.ticket.sales_channels = ['bar'] self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True, PRETIX_SALES_CHANNEL=FoobarSalesChannel) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_in_time_available(self): self.ticket.available_until = now() + timedelta(days=2) self.ticket.available_from = now() - timedelta(days=2) self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_no_longer_available(self): self.ticket.available_until = now() - timedelta(days=2) self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_not_yet_available(self): self.ticket.available_from = now() + timedelta(days=2) self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_max_items(self): with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) self.event.settings.max_items_per_order = 5 response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '5', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('more than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_max_items_unlimited_sales_channel(self): with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) self.event.settings.max_items_per_order = 5 response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '5', }, follow=True, PRETIX_SALES_CHANNEL=FoobarSalesChannel) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertNotIn('more than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_max_per_item_variations_failed(self): self.shirt.max_per_order = 1 self.shirt.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_blue.id): '1', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('more than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_max_per_item_failed(self): self.ticket.max_per_order = 2 self.ticket.save() with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('more than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_max_per_item_success(self): self.ticket.max_per_order = 3 self.ticket.save() with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 3) def test_min_per_item_failed(self): self.quota_tickets.size = 30 self.quota_tickets.save() self.event.settings.max_items_per_order = 20 self.ticket.min_per_order = 10 self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '4', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('at least', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_min_per_item_mixed_variations(self): self.quota_shirts.size = 30 self.quota_shirts.save() self.event.settings.max_items_per_order = 20 self.shirt.min_per_order = 10 self.shirt.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.pk): '6', 'variation_%d_%d' % (self.shirt.id, self.shirt_blue.pk): '4', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 10) def test_min_per_item_success(self): self.quota_tickets.size = 30 self.quota_tickets.save() self.event.settings.max_items_per_order = 20 self.ticket.min_per_order = 10 self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '10', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 10) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '3', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 13) def test_quota_full(self): self.quota_tickets.size = 0 self.quota_tickets.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_quota_partly(self): self.quota_tickets.size = 1 self.quota_tickets.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_subevent_quota_partly(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.size = 1 self.quota_tickets.subevent = se self.quota_tickets.save() q2 = self.event.quotas.create(name='Foo', size=15) q2.items.add(self.ticket) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', 'subevent': se.pk }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_renew_in_time(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) cp.refresh_from_db() self.assertGreater(cp.expires, now() + timedelta(minutes=10)) def test_renew_expired_successfully(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10) ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) with scopes_disabled(): obj = CartPosition.objects.get(id=cp1.id) self.assertEqual(obj.item, self.ticket) self.assertIsNone(obj.variation) self.assertEqual(obj.price, 23) self.assertGreater(obj.expires, now()) def test_renew_questions(self): with scopes_disabled(): cr1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10) ) q1 = Question.objects.create( event=self.event, question='Age', type=Question.TYPE_NUMBER, required=True ) self.ticket.questions.add(q1) cr1.answers.add(QuestionAnswer.objects.create( cartposition=cr1, question=q1, answer='23' )) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): obj = CartPosition.objects.get(id=cr1.id) self.assertEqual(obj.answers.get(question=q1).answer, '23') def test_renew_expired_failed(self): self.quota_tickets.size = 0 self.quota_tickets.save() with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(id=cp1.id).exists()) def test_subevent_renew_expired_successfully(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.save() self.quota_shirts.subevent = se self.quota_shirts.save() cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10), subevent=se ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', 'subevent': se.pk, }, follow=True) with scopes_disabled(): obj = CartPosition.objects.get(id=cp1.id) self.assertEqual(obj.item, self.ticket) self.assertIsNone(obj.variation) self.assertEqual(obj.price, 23) self.assertEqual(obj.subevent, se) self.assertGreater(obj.expires, now()) def test_subevent_renew_expired_failed(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.size = 0 self.quota_tickets.save() cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10), subevent=se ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(id=cp1.id).exists()) def test_remove_simple(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('empty', doc.select('.alert-success')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_remove_min(self): self.ticket.min_per_order = 2 self.ticket.save() with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('less than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_remove_variation(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_red, price=14, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('empty', doc.select('.alert-success')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_remove_invalid(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id='invalid', item=self.shirt, variation=self.shirt_red, price=14, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") assert doc.select('.alert-danger') def test_remove_one_of_multiple(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('updated', doc.select('.alert-success')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_remove_all(self): with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_red, price=14, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/clear' % (self.orga.slug, self.event.slug), {}, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('empty', doc.select('.alert-success')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_remove_expired_voucher(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event, valid_until=now() - timedelta(days=1)) cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10), voucher=v ) self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_voucher_expired_readd(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event, block_quota=True) cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10), voucher=v ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', }, follow=True) cp1.refresh_from_db() with scopes_disabled(): self.assertGreater(cp1.expires, now()) assert cp1.voucher == v def test_voucher_variation(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, variation=self.shirt_red, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) def test_voucher_quota(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_shirts, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) def test_voucher_quota_invalid_item(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_tickets, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_item_invalid_item(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'itme_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_item_invalid_variation(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, variation=self.shirt_blue, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_item_not_available_error(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event) self.ticket.available_until = now() - timedelta(days=2) self.ticket.save() response = self.client.get('/%s/%s/redeem' % (self.orga.slug, self.event.slug), {'voucher': v.code}, follow=True) assert error_messages['voucher_item_not_available'] in response.rendered_content def test_voucher_price(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, price_mode='set') self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('12.00')) def test_voucher_price_negative(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('1337.00'), event=self.event, price_mode='subtract') self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('0.00')) def test_voucher_price_percent(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='percent', event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('20.70')) def test_voucher_price_subtract(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='subtract', event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('13.00')) def test_voucher_free_price(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='percent', event=self.event) self.ticket.free_price = True self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '21.00', '_voucher_code': v.code, }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('21', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('21', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('21.00')) self.assertEqual(objs[0].price_before_voucher, Decimal('23.00')) def test_voucher_free_price_before_voucher_cap(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='percent', event=self.event) self.ticket.free_price = True self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '41.00', '_voucher_code': v.code, }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('41', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('41', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('41.00')) self.assertEqual(objs[0].price_before_voucher, Decimal('41.00')) def test_voucher_free_price_lower_bound(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='percent', event=self.event) self.ticket.free_price = False self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '20.00', '_voucher_code': v.code, }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('20.70', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('20.70', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('20.70')) self.assertEqual(objs[0].price_before_voucher, Decimal('23.00')) def test_voucher_redemed(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, redeemed=1) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_voucher_expired(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, valid_until=now() - timedelta(days=2)) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('expired', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_voucher_invalid(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': 'ASDFGH', }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('not known', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_voucher_quota_empty(self): self.quota_tickets.size = 0 self.quota_tickets.save() with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_voucher_quota_ignore(self): self.quota_tickets.size = 0 self.quota_tickets.save() with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, allow_ignore_quota=True, price_mode='set') self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('12.00')) def test_voucher_quota_block(self): self.quota_tickets.size = 1 self.quota_tickets.save() with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, block_quota=True, price_mode='set') response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('12.00')) def test_voucher_doubled(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, price_mode='set') response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('12.00')) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('currently locked', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(1, CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count()) def test_require_voucher(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_shirts, event=self.event) self.shirt.require_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) def test_require_voucher_failed(self): self.shirt.require_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_quota_other_quota_full(self): with scopes_disabled(): quota2 = self.event.quotas.create(name='Test', size=0) quota2.variations.add(self.shirt_red) v = Voucher.objects.create(quota=self.quota_shirts, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_hide_without_voucher(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, event=self.event) self.shirt.hide_without_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) def test_hide_without_voucher_failed_because_of_voucher(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, event=self.event, show_hidden_items=False) self.shirt.hide_without_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_hide_without_voucher_failed(self): self.shirt.hide_without_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_multiuse_ok(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=0) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.exists() assert all(cp.voucher == v for cp in positions) def test_voucher_multiuse_multiprod_ok(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_all, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=0) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.exists() assert all(cp.voucher == v for cp in positions) def test_voucher_multiuse_partially(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('only be redeemed 1 more time', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.count() == 1 def test_voucher_multiuse_multiprod_partially(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_all, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.count() == 1 assert all(cp.voucher == v for cp in positions) def test_voucher_multiuse_redeemed(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=2) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert not positions.exists() def test_voucher_multiuse_multiprod_redeemed(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_all, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=2) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert not positions.exists() def test_voucher_multiuse_redeemed_in_my_cart(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.ticket, voucher=v, price=Decimal('12.00'), event=self.event, cart_id=self.session_key ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.count() == 1 def test_voucher_multiuse_redeemed_in_other_cart(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, voucher=v, price=Decimal('12.00'), event=self.event, cart_id='other' ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('currently locked', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert not positions.exists() def test_voucher_multiuse_redeemed_in_other_expired_cart(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.ticket, voucher=v, price=Decimal('12.00'), event=self.event, cart_id='other' ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.count() == 1 def test_voucher_apply_matching(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=15, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, item=self.ticket, price_mode='set', value=Decimal('4.00') ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-success' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher == v assert cp1.price == Decimal('4.00') assert cp2.voucher is None def test_voucher_apply_partial_in_price_order(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=150, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('4.00'), max_usages=100, redeemed=99 ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-success' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher is None assert cp1.price == Decimal('23.00') assert cp2.voucher == v assert cp2.price == Decimal('4.00') def test_voucher_apply_multiple(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=150, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, price_mode='set', quota=self.quota_all, value=Decimal('4.00'), max_usages=100 ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-success' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher == v assert cp1.price == Decimal('4.00') assert cp2.voucher == v assert cp2.price == Decimal('4.00') def test_voucher_apply_only_one_per_line(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) v2 = Voucher.objects.create( event=self.event, price_mode='set', quota=self.quota_all, value=Decimal('4.00'), max_usages=100 ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=150, expires=now() + timedelta(minutes=10), voucher=v2 ) v = Voucher.objects.create( event=self.event, price_mode='set', quota=self.quota_all, value=Decimal('4.00'), max_usages=100 ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-success' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher == v assert cp1.price == Decimal('4.00') assert cp2.voucher == v2 assert cp2.price == Decimal('150.00') """ def test_voucher_apply_only_positive(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=15, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('40.00'), max_usages=100 ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-danger' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher is None assert cp2.voucher is None """ def test_voucher_apply_expired(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=15, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('40.00'), max_usages=100, valid_until=now() - timedelta(days=1) ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-danger' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher is None assert cp2.voucher is None def test_voucher_apply_used(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=15, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('40.00'), max_usages=100, redeemed=100 ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-danger' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher is None assert cp2.voucher is None class CartAddonTest(CartTestMixin, TestCase): @scopes_disabled() def setUp(self): super().setUp() self.workshopcat = ItemCategory.objects.create(name="Workshops", is_addon=True, event=self.event) self.workshopquota = Quota.objects.create(event=self.event, name='Workshop 1', size=5) self.workshop1 = Item.objects.create(event=self.event, name='Workshop 1', category=self.workshopcat, default_price=12) self.workshop2 = Item.objects.create(event=self.event, name='Workshop 2', category=self.workshopcat, default_price=12) self.workshop3 = Item.objects.create(event=self.event, name='Workshop 3', category=self.workshopcat, default_price=12) self.workshop3a = ItemVariation.objects.create(item=self.workshop3, value='3a') self.workshop3b = ItemVariation.objects.create(item=self.workshop3, value='3b') self.workshopquota.items.add(self.workshop1) self.workshopquota.items.add(self.workshop2) self.workshopquota.items.add(self.workshop3) self.workshopquota.variations.add(self.workshop3a) self.workshopquota.variations.add(self.workshop3b) self.addon1 = ItemAddOn.objects.create(base_item=self.ticket, addon_category=self.workshopcat) self.cm = CartManager(event=self.event, cart_id=self.session_key) @classscope(attr='orga') def test_cart_set_simple_addon_included(self): self.addon1.price_included = True self.addon1.save() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() cp2 = cp1.addons.first() assert cp2.item == self.workshop1 assert cp2.price == 0 @classscope(attr='orga') def test_cart_addon_remove_parent(self): self.addon1.price_included = True self.addon1.save() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() cp2 = cp1.addons.first() assert cp2.price == 0 response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp1.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('empty', doc.select('.alert-success')[0].text) self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) @classscope(attr='orga') def test_cart_set_simple_addon(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() cp2 = cp1.addons.first() assert cp2.item == self.workshop1 assert cp2.price == 12 @classscope(attr='orga') def test_cart_subevent_set_simple_addon(self): self.event.has_subevents = True self.event.save() se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.workshopquota.subevent = se self.workshopquota.save() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key, subevent=se ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() cp2 = cp1.addons.first() assert cp2.item == self.workshop1 assert cp2.subevent == se assert cp2.price == 12 @classscope(attr='orga') def test_cart_subevent_set_addon_for_wrong_subevent(self): self.event.has_subevents = True self.event.save() se = self.event.subevents.create(name='Foo', date_from=now(), active=True) se2 = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.workshopquota.subevent = se2 self.workshopquota.save() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key, subevent=se ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) @classscope(attr='orga') def test_wrong_category(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.workshop1.category = self.category self.workshop1.save() with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) @classscope(attr='orga') def test_invalid_parent(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id='other' ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) @classscope(attr='orga') def test_no_quota_for_addon(self): self.workshopquota.delete() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) @classscope(attr='orga') def test_unknown_addon_item(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': 99999, 'variation': None } ]) @classscope(attr='orga') def test_duplicate_items_for_other_cp(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.set_addons([ { 'addon_to': cp2.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() @classscope(attr='orga') def test_no_duplicate_items_for_same_cp(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.addon1.max_count = 2 self.addon1.save() with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None }, { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop3.pk, 'variation': self.workshop3a.pk }, { 'addon_to': cp1.pk, 'item': self.workshop3.pk, 'variation': self.workshop3b.pk } ]) @classscope(attr='orga') def test_addon_max_count(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None }, { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) self.addon1.max_count = 2 self.addon1.save() self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None }, { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) @classscope(attr='orga') def test_addon_min_count(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.addon1.min_count = 2 self.addon1.max_count = 9 self.addon1.save() with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None }, { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) @classscope(attr='orga') def test_remove_with_addons(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.remove_item(cp1.pk) self.cm.commit() assert not CartPosition.objects.filter(pk=cp1.pk).exists() assert not CartPosition.objects.filter(pk=cp2.pk).exists() @classscope(attr='orga') def test_remove_addons(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.set_addons([]) self.cm.commit() assert not CartPosition.objects.filter(pk=cp2.pk).exists() @classscope(attr='orga') def test_remove_addons_below_min(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.addon1.min_count = 1 self.addon1.save() with self.assertRaises(CartError): self.cm.set_addons([]) self.cm.commit() assert CartPosition.objects.filter(pk=cp2.pk).exists() @classscope(attr='orga') def test_change_product(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) self.cm.commit() cp1.refresh_from_db() assert cp1.addons.count() == 1 assert cp1.addons.first().item == self.workshop2 @classscope(attr='orga') def test_unchanged(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) assert not self.cm._operations @classscope(attr='orga') def test_exceed_max(self): self.event.settings.max_items_per_order = 1 cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() @classscope(attr='orga') def test_sold_out(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.workshopquota.size = 0 self.workshopquota.save() self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) with self.assertRaises(CartError): self.cm.commit() @classscope(attr='orga') def test_sold_out_unchanged(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.workshopquota.size = 0 self.workshopquota.save() self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() @classscope(attr='orga') def test_sold_out_swap_addons(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop2, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp2 ) self.workshopquota.size = 0 self.workshopquota.save() self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None }, { 'addon_to': cp2.pk, 'item': self.workshop1.pk, 'variation': None }, ]) self.cm.commit() assert cp1.addons.count() == 1 assert cp2.addons.count() == 1 assert cp1.addons.first().item == self.workshop2 assert cp2.addons.first().item == self.workshop1 @classscope(attr='orga') def test_expand_expired(self): cp1 = CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.extend_expired_positions() self.cm.commit() cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.expires > now() assert cp2.expires > now() assert cp2.addon_to_id == cp1.pk @classscope(attr='orga') def test_expand_expired_refresh_voucher(self): v = Voucher.objects.create(item=self.ticket, value=Decimal('20.00'), event=self.event, price_mode='set', valid_until=now() + timedelta(days=2), max_usages=999, redeemed=0) cp1 = CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.ticket, price=Decimal('21.50'), event=self.event, cart_id=self.session_key, voucher=v ) self.cm.extend_expired_positions() self.cm.commit() cp1.refresh_from_db() assert cp1.expires > now() assert cp1.price_before_voucher == Decimal('23.00') class CartBundleTest(CartTestMixin, TestCase): @scopes_disabled() def setUp(self): super().setUp() self.trans = Item.objects.create(event=self.event, name='Public Transport Ticket', default_price=2.50, require_bundling=True) self.transquota = Quota.objects.create(event=self.event, name='Transport', size=5) self.transquota.items.add(self.trans) self.bundle1 = ItemBundle.objects.create( base_item=self.ticket, bundled_item=self.trans, designated_price=1.5, count=1 ) self.cm = CartManager(event=self.event, cart_id=self.session_key) @classscope(attr='orga') def test_simple_bundle(self): self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 assert cp.addons.count() == 1 a = cp.addons.get() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_voucher_on_base_product(self): v = self.event.vouchers.create(code="foo", item=self.ticket) self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'voucher': v.code, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 assert cp.addons.count() == 1 assert cp.voucher == v assert cp.price_before_voucher == 23 - 1.5 a = cp.addons.get() assert a.item == self.trans assert a.price == 1.5 assert not a.voucher @classscope(attr='orga') def test_discounted_voucher_on_base_product(self): v = self.event.vouchers.create(code="foo", item=self.ticket, price_mode='subtract', value=Decimal('1.50')) self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'voucher': v.code, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 - 1.5 assert cp.addons.count() == 1 assert cp.voucher == v assert cp.price_before_voucher == 23 - 1.5 a = cp.addons.get() assert a.item == self.trans assert a.price == 1.5 assert not a.voucher @classscope(attr='orga') def test_simple_bundle_with_variation(self): v = self.trans.variations.create(value="foo", default_price=4) self.transquota.variations.add(v) self.bundle1.bundled_variation = v self.bundle1.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 assert cp.addons.count() == 1 a = cp.addons.get() assert a.item == self.trans assert a.variation == v assert a.price == 1.5 @classscope(attr='orga') def test_multiple_bundles(self): ItemBundle.objects.create( base_item=self.ticket, bundled_item=self.trans, designated_price=1.5, count=1 ) self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 - 1.5 assert cp.addons.count() == 2 a = cp.addons.first() assert a.item == self.trans assert a.price == 1.5 a = cp.addons.last() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_bundle_with_count(self): self.bundle1.count = 2 self.bundle1.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 - 1.5 assert cp.addons.count() == 2 a = cp.addons.first() assert a.item == self.trans assert a.price == 1.5 a = cp.addons.last() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_bundle_position_multiple(self): self.bundle1.count = 2 self.bundle1.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 2 } ]) self.cm.commit() assert CartPosition.objects.filter(addon_to__isnull=True).count() == 2 assert CartPosition.objects.count() == 6 cp = CartPosition.objects.filter(addon_to__isnull=True).first() assert cp.item == self.ticket assert cp.price == 23 - 1.5 - 1.5 assert cp.addons.count() == 2 a = cp.addons.first() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_bundle_position_free_price(self): self.ticket.free_price = True self.ticket.default_price = 1 self.ticket.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, 'price': 20 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 20 - 1.5 a = cp.addons.get() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_bundle_position_free_price_lower_than_designated_price(self): self.ticket.free_price = True self.ticket.default_price = 1 self.ticket.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, 'price': 1.2 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == Decimal('0.00') a = cp.addons.get() assert a.item == self.trans assert a.price == Decimal('1.50') @classscope(attr='orga') def test_bundle_position_without_designated_price(self): self.bundle1.designated_price = 0 self.bundle1.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 a = cp.addons.get() assert a.item == self.trans assert a.price == 0 @classscope(attr='orga') def test_bundle_sold_out(self): self.transquota.size = 0 self.transquota.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, } ]) with self.assertRaises(CartError): self.cm.commit() assert not CartPosition.objects.exists() @classscope(attr='orga') def test_bundle_sold_partial_in_bundle(self): self.bundle1.count = 2 self.bundle1.save() self.transquota.size = 1 self.transquota.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, } ]) with self.assertRaises(CartError): self.cm.commit() assert not CartPosition.objects.exists() @classscope(attr='orga') def test_bundle_sold_partial_in_bundle_multiple_positions(self): self.bundle1.count = 2 self.bundle1.save() self.transquota.size = 3 self.transquota.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 2, } ]) with self.assertRaises(CartError): self.cm.commit() assert CartPosition.objects.filter(addon_to__isnull=True).count() == 1 assert CartPosition.objects.filter(addon_to__isnull=False).count() == 2 @classscope(attr='orga') def test_multiple_bundles_sold_out_partially(self): ItemBundle.objects.create( base_item=self.ticket, bundled_item=self.trans, designated_price=1.5, count=1 ) self.transquota.size = 1 self.transquota.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) with self.assertRaises(CartError): self.cm.commit() assert not CartPosition.objects.exists() @classscope(attr='orga') def test_require_bundling(self): self.ticket.require_bundling = True self.ticket.save() with self.assertRaises(CartError): self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) assert not CartPosition.objects.exists() @classscope(attr='orga') def test_bundle_item_disabled(self): self.ticket.active = False self.ticket.save() with self.assertRaises(CartError): self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) assert not CartPosition.objects.exists() @classscope(attr='orga') def test_bundle_different_tax_rates(self): tr19 = self.event.tax_rules.create( name='VAT', rate=Decimal('19.00') ) tr7 = self.event.tax_rules.create( name='VAT', rate=Decimal('7.00'), price_includes_tax=True, # will be ignored ) self.event.settings.display_net_prices = True # will be ignored self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() assert CartPosition.objects.filter(addon_to__isnull=True).count() == 1 assert CartPosition.objects.count() == 2 cp = CartPosition.objects.filter(addon_to__isnull=True).first() assert cp.item == self.ticket assert cp.price == Decimal('21.50') assert cp.tax_rate == Decimal('19.00') assert cp.tax_value == Decimal('3.43') assert cp.addons.count() == 1 assert cp.includes_tax a = cp.addons.first() assert a.item == self.trans assert a.price == 1.5 assert a.tax_rate == Decimal('7.00') assert a.tax_value == Decimal('0.10') assert a.includes_tax @classscope(attr='orga') def test_one_bundled_one_addon(self): cat = self.event.categories.create(name="addons") self.trans.require_bundling = False self.trans.category = cat self.trans.save() ItemAddOn.objects.create(base_item=self.ticket, addon_category=cat) self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.filter(addon_to__isnull=True).first() assert cp.item == self.ticket assert cp.price == Decimal('21.50') b = cp.addons.first() assert b.item == self.trans self.cm = CartManager(event=self.event, cart_id=self.session_key) self.cm.set_addons([ { 'addon_to': cp.pk, 'item': self.trans.pk, 'variation': None } ]) self.cm.commit() assert cp.addons.count() == 2 a = cp.addons.exclude(pk=b.pk).get() assert a.item == self.trans assert a.price == 2.5 @classscope(attr='orga') def test_extend_keep_price(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == 21.5 assert b.price == 1.5 @classscope(attr='orga') def test_extend_designated_price_changed(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.bundle1.designated_price = Decimal('2.00') self.bundle1.save() self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == 21 assert b.price == 2 @classscope(attr='orga') def test_extend_designated_price_changed_beyond_base_price(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.bundle1.designated_price = Decimal('40.00') self.bundle1.save() self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == 0 assert b.price == 40 @classscope(attr='orga') def test_voucher_apply_multiple(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() + timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() + timedelta(minutes=10), is_bundled=True ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('4.00'), max_usages=100 ) self.cm.apply_voucher(v.code) self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == Decimal('2.50') assert b.price == Decimal('1.50') @classscope(attr='orga') def test_voucher_apply_multiple_reduce_beyond_designated_price(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() + timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() + timedelta(minutes=10), is_bundled=True ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('0.00'), max_usages=100 ) self.cm.apply_voucher(v.code) self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == Decimal('0.00') assert b.price == Decimal('1.50') @classscope(attr='orga') def test_extend_base_price_changed(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.ticket.default_price = Decimal('25.00') self.ticket.save() self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == 23.5 assert b.price == 1.5 @classscope(attr='orga') def test_extend_bundled_and_addon(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) a = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=False ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.cm.commit() cp.refresh_from_db() b.refresh_from_db() a.refresh_from_db() assert cp.price == 21.5 assert b.price == 1.5 assert a.price == 2.5 @classscope(attr='orga') def test_expired_reverse_charge_only_bundled(self): tr19 = self.event.tax_rules.create(name='VAT', rate=Decimal('19.00')) ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT') ) tr7 = self.event.tax_rules.create(name='VAT', rate=Decimal('7.00'), eu_reverse_charge=True, home_country=Country('DE')) self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) a = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) update_tax_rates(self.event, self.session_key, ia) cp.refresh_from_db() a.refresh_from_db() assert cp.price == Decimal('21.50') assert cp.tax_rate == Decimal('19.00') assert cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax self.cm.invoice_address = ia self.cm.commit() cp.refresh_from_db() a.refresh_from_db() assert cp.price == Decimal('21.50') assert cp.tax_rate == Decimal('19.00') assert cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == 0 assert not a.includes_tax @classscope(attr='orga') def test_expired_reverse_charge_all(self): ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT') ) tr19 = self.event.tax_rules.create(name='VAT', rate=Decimal('19.00'), eu_reverse_charge=True, home_country=Country('DE')) tr7 = self.event.tax_rules.create(name='VAT', rate=Decimal('7.00'), eu_reverse_charge=True, home_country=Country('DE')) self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) a = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) update_tax_rates(self.event, self.session_key, ia) cp.refresh_from_db() a.refresh_from_db() assert cp.price == Decimal('18.07') assert cp.tax_rate == Decimal('0.00') assert not cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax self.cm.invoice_address = ia self.cm.commit() cp.refresh_from_db() a.refresh_from_db() assert cp.price == Decimal('18.07') assert cp.tax_rate == Decimal('0.00') assert not cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax @classscope(attr='orga') def test_reverse_charge_all_add(self): ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT') ) tr19 = self.event.tax_rules.create(name='VAT', rate=Decimal('19.00'), eu_reverse_charge=True, home_country=Country('DE')) tr7 = self.event.tax_rules.create(name='VAT', rate=Decimal('7.00'), eu_reverse_charge=True, home_country=Country('DE')) self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() self.cm.invoice_address = ia self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.filter(addon_to__isnull=True).get() a = CartPosition.objects.filter(addon_to__isnull=False).get() assert cp.price == Decimal('18.07') assert cp.tax_rate == Decimal('0.00') assert not cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax @classscope(attr='orga') def test_reverse_charge_bundled_add(self): ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT') ) tr19 = self.event.tax_rules.create(name='VAT', rate=Decimal('19.00')) tr7 = self.event.tax_rules.create(name='VAT', rate=Decimal('7.00'), eu_reverse_charge=True, home_country=Country('DE')) self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() self.cm.invoice_address = ia self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.filter(addon_to__isnull=True).get() a = CartPosition.objects.filter(addon_to__isnull=False).get() assert cp.price == Decimal('21.50') assert cp.tax_rate == Decimal('19.00') assert cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax class CartSeatingTest(CartTestMixin, TestCase): @scopes_disabled() def setUp(self): super().setUp() self.plan = SeatingPlan.objects.create( name="Plan", organizer=self.orga, layout="{}" ) self.event.seat_category_mappings.create( layout_category='Stalls', product=self.ticket ) self.seat_a1 = self.event.seats.create(name="A1", product=self.ticket, seat_guid="A1") self.seat_a2 = self.event.seats.create(name="A2", product=self.ticket, seat_guid="A2") self.seat_a3 = self.event.seats.create(name="A3", product=self.ticket, seat_guid="A3") self.cm = CartManager(event=self.event, cart_id=self.session_key) def test_add_with_seat_without_variation(self): self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertEqual(objs[0].seat, self.seat_a1) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_add_with_seat_with_missing_variation(self): with scopes_disabled(): v1 = self.ticket.variations.create(value='Regular', active=True) self.quota_tickets.variations.add(v1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_blocked(self): self.seat_a1.blocked = True self.seat_a1.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_unseated_product(self): with scopes_disabled(): self.event.seat_category_mappings.all().delete() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_wrong_product(self): with scopes_disabled(): self.event.seat_category_mappings.all().update(product=self.shirt) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_specific_voucher(self): with scopes_disabled(): v = self.event.vouchers.create(item=self.ticket, seat=self.seat_a1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1, '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].voucher, v) self.assertEqual(objs[0].seat, self.seat_a1) def test_add_specific_voucher_wrong_seat(self): with scopes_disabled(): v = self.event.vouchers.create(item=self.ticket, seat=self.seat_a1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a2, '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_unknown(self): self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: 'asdasdasd', }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_required(self): self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_with_seat_with_variation(self): with scopes_disabled(): v1 = self.ticket.variations.create(value='Regular', active=True) self.quota_tickets.variations.add(v1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d_%d' % (self.ticket.id, v1.pk): self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertEqual(objs[0].seat, self.seat_a1) self.assertEqual(objs[0].variation, v1) self.assertEqual(objs[0].price, 23) def test_add_with_seat_to_cart_twice(self): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, seat=self.seat_a1, price=23, expires=now() + timedelta(minutes=10) ) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].seat, self.seat_a1) def test_add_used_seat_to_cart(self): CartPosition.objects.create( event=self.event, cart_id='aaa', item=self.ticket, seat=self.seat_a1, price=23, expires=now() + timedelta(minutes=10) ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) @scopes_disabled() def test_extend_seat_still_available(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, seat=self.seat_a1, price=21.5, expires=now() - timedelta(minutes=10) ) self.cm.commit() cp.refresh_from_db() assert cp.seat == self.seat_a1 @scopes_disabled() def test_extend_seat_taken(self): with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, seat=self.seat_a1, price=21.5, expires=now() - timedelta(minutes=10) ) CartPosition.objects.create( event=self.event, cart_id='secondcart', item=self.ticket, seat=self.seat_a1, price=21.5, expires=now() + timedelta(minutes=10) ) with self.assertRaises(CartError): self.cm.commit() assert not CartPosition.objects.filter(cart_id=self.session_key).exists()

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import datetime import json from datetime import timedelta from decimal import Decimal from bs4 import BeautifulSoup from django.test import TestCase from django.utils.timezone import now from django_countries.fields import Country from django_scopes import scopes_disabled from tests.testdummy.signals import FoobarSalesChannel from pretix.base.decimal import round_decimal from pretix.base.models import ( CartPosition, Event, InvoiceAddress, Item, ItemCategory, ItemVariation, Organizer, Question, QuestionAnswer, Quota, SeatingPlan, Voucher, ) from pretix.base.models.items import ( ItemAddOn, ItemBundle, SubEventItem, SubEventItemVariation, ) from pretix.base.services.cart import ( CartError, CartManager, error_messages, update_tax_rates, ) from pretix.testutils.scope import classscope from pretix.testutils.sessions import get_cart_session_key class CartTestMixin: @scopes_disabled() def setUp(self): super().setUp() self.orga = Organizer.objects.create(name='CCC', slug='ccc') self.event = Event.objects.create( organizer=self.orga, name='30C3', slug='30c3', date_from=datetime.datetime(now().year + 1, 12, 26, tzinfo=datetime.timezone.utc), live=True, plugins="pretix.plugins.banktransfer" ) self.tr19 = self.event.tax_rules.create(rate=Decimal('19.00')) self.category = ItemCategory.objects.create(event=self.event, name="Everything", position=0) self.quota_shirts = Quota.objects.create(event=self.event, name='Shirts', size=2) self.shirt = Item.objects.create(event=self.event, name='T-Shirt', category=self.category, default_price=12, tax_rule=self.tr19) self.quota_shirts.items.add(self.shirt) self.shirt_red = ItemVariation.objects.create(item=self.shirt, default_price=14, value='Red') self.shirt_blue = ItemVariation.objects.create(item=self.shirt, value='Blue') self.quota_shirts.variations.add(self.shirt_red) self.quota_shirts.variations.add(self.shirt_blue) self.quota_tickets = Quota.objects.create(event=self.event, name='Tickets', size=5) self.ticket = Item.objects.create(event=self.event, name='Early-bird ticket', category=self.category, default_price=23, tax_rule=self.tr19) self.quota_tickets.items.add(self.ticket) self.quota_all = Quota.objects.create(event=self.event, name='All', size=None) self.quota_all.items.add(self.ticket) self.quota_all.items.add(self.shirt) self.quota_all.variations.add(self.shirt_blue) self.quota_all.variations.add(self.shirt_red) self.client.get('/%s/%s/' % (self.orga.slug, self.event.slug)) self.session_key = get_cart_session_key(self.client, self.event) class CartTest(CartTestMixin, TestCase): def test_after_presale(self): self.event.presale_end = now() - timedelta(days=1) self.event.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) assert 'alert-danger' in response.rendered_content with scopes_disabled(): assert not CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists() def test_after_payment_period(self): self.event.settings.payment_term_last = (now() - datetime.timedelta(days=1)).date().isoformat() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) assert 'alert-danger' in response.rendered_content with scopes_disabled(): assert not CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists() def test_after_event(self): self.event.date_to = now() - timedelta(days=1) self.event.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) assert 'alert-danger' in response.rendered_content with scopes_disabled(): assert not CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists() def test_before_presale(self): self.event.presale_start = now() + timedelta(days=1) self.event.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) assert 'alert-danger' in response.rendered_content with scopes_disabled(): assert not CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists() def test_simple(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_widget_data_post(self): self.event.settings.attendee_names_asked = True self.event.settings.attendee_emails_asked = True with scopes_disabled(): q = self.event.questions.create( event=self.event, question='What is your shoe size?', type=Question.TYPE_NUMBER, required=True ) q.items.add(self.ticket) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'widget_data': json.dumps({ 'attendee-name-full-name': 'John Doe', 'email': 'foo@example.com', 'question-' + q.identifier: '43' }) }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].attendee_email, "foo@example.com") self.assertEqual(objs[0].attendee_name, "John Doe") a = objs[0].answers.first() self.assertEqual(a.answer, "43") self.assertEqual(a.question, q) def test_widget_data_ignored_unknown_or_unasked(self): self.event.settings.attendee_names_asked = False self.event.settings.attendee_emails_asked = False with scopes_disabled(): q = self.event.questions.create( event=self.event, question='What is your shoe size?', type=Question.TYPE_NUMBER, required=True ) q.items.add(self.ticket) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'widget_data': json.dumps({ 'attendee-name-full-name': 'John Doe', 'email': 'foo@example.com', 'question-' + q.identifier: 'bla' }) }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) assert not objs[0].attendee_email assert not objs[0].attendee_name assert not objs[0].answers.exists() def test_widget_data_session(self): self.event.settings.attendee_names_asked = True self.event.settings.attendee_emails_asked = True with scopes_disabled(): q = self.event.questions.create( event=self.event, question='What is your shoe size?', type=Question.TYPE_NUMBER, required=True ) q.items.add(self.ticket) self._set_session('widget_data', { 'attendee-name': 'John Doe', 'email': 'foo@example.com', 'question-' + q.identifier: '43' }) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].attendee_email, "foo@example.com") self.assertEqual(objs[0].attendee_name, "John Doe") a = objs[0].answers.first() self.assertEqual(a.answer, "43") self.assertEqual(a.question, q) def _set_session(self, key, value): session = self.client.session session['carts'][get_cart_session_key(self.client, self.event)][key] = value session.save() def _enable_reverse_charge(self): self.tr19.eu_reverse_charge = True self.tr19.home_country = Country('DE') self.tr19.save() with scopes_disabled(): ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT'), ) self._set_session('invoice_address', ia.pk) return ia def test_reverse_charge(self): self._enable_reverse_charge() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].price, round_decimal(Decimal('23.00') / Decimal('1.19'))) def test_subevent_missing(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.save() q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_subevent(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.save() v = Voucher.objects.create(item=self.ticket, event=self.event, subevent=se) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, 'subevent': se.pk }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].subevent, se) def test_voucher_any_subevent(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event) self.event.has_subevents = True self.event.save() se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, 'subevent': se.pk }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].subevent, se) def test_voucher_wrong_subevent(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) se2 = self.event.subevents.create(name='Foo', date_from=now(), active=True) v = Voucher.objects.create(item=self.ticket, event=self.event, subevent=se2) self.quota_tickets.subevent = se self.quota_tickets.save() se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, 'subevent': se.pk }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_inactive_subevent(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=False) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_ignore_series_date(self): self.event.has_subevents = True self.event.date_to = now() - timedelta(days=1) self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True, presale_end=now() + timedelta(days=1)) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) def test_subevent_payment_period_over(self): self.event.has_subevents = True self.event.save() self.event.settings.payment_term_last = 'RELDATE/1/23:59:59/date_from/' with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_sale_over(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True, presale_end=now() - timedelta(days=1)) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_sale_not_yet(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True, presale_start=now() + timedelta(days=1)) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_simple_subevent(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) self.assertEqual(objs[0].subevent, se) def test_subevent_sold_out(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se1 = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se1.quotas.create(name="foo", size=0, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se1.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_other_subevent_sold_out(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se1 = self.event.subevents.create(name='Foo', date_from=now(), active=True) se2 = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se1.quotas.create(name="foo", size=0, event=self.event) q.items.add(self.ticket) q = se2.quotas.create(name="foo", size=100, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se2.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) def test_subevent_no_quota(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se1 = self.event.subevents.create(name='Foo', date_from=now(), active=True) se2 = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se1.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se2.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_disabled(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) SubEventItem.objects.create(subevent=se, item=self.ticket, price=42, disabled=True) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_price(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.items.add(self.ticket) SubEventItem.objects.create(subevent=se, item=self.ticket, price=42) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 42) self.assertEqual(objs[0].subevent, se) def test_free_price(self): self.ticket.free_price = True self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '24.00' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('24', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('24', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 24) def test_free_price_only_if_allowed(self): self.ticket.free_price = False self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '24.00' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_free_price_lower_bound(self): self.ticket.free_price = False self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '12.00' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_variation_inactive(self): self.shirt_red.active = False self.shirt_red.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_variation(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Shirt', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('Red', doc.select('.cart .cart-row')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('14', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('14', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) self.assertEqual(objs[0].price, 14) def test_variation_free_price(self): self.shirt.free_price = True self.shirt.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', 'price_%d_%d' % (self.shirt.id, self.shirt_red.id): '16', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Shirt', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('Red', doc.select('.cart .cart-row')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('16', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('16', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) self.assertEqual(objs[0].price, 16) def test_subevent_variation_disabled(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.variations.add(self.shirt_red) SubEventItemVariation.objects.create(subevent=se, variation=self.shirt_red, price=42, disabled=True) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_subevent_variation_price(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) q = se.quotas.create(name="foo", size=None, event=self.event) q.variations.add(self.shirt_red) SubEventItemVariation.objects.create(subevent=se, variation=self.shirt_red, price=42) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', 'subevent': se.pk }, follow=False) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) self.assertEqual(objs[0].price, 42) self.assertEqual(objs[0].subevent, se) def test_count(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('2', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('46', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 2) for obj in objs: self.assertEqual(obj.item, self.ticket) self.assertIsNone(obj.variation) self.assertEqual(obj.price, 23) def test_multiple(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart')[0].text) self.assertIn('Shirt', doc.select('.cart')[0].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 3) self.assertIn(self.shirt, [obj.item for obj in objs]) self.assertIn(self.shirt_red, [obj.variation for obj in objs]) self.assertIn(self.ticket, [obj.item for obj in objs]) def test_fuzzy_input(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: 'a', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('numbers only', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '-2', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('numbers only', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_blue.id): 'a', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('numbers only', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_a_%d' % (self.shirt_blue.id): '-2', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('numbers only', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('did not select any products', doc.select('.alert-warning')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_wrong_event(self): event2 = Event.objects.create( organizer=self.orga, name='MRMCD', slug='mrmcd', date_from=datetime.datetime(2014, 9, 6, tzinfo=datetime.timezone.utc) ) shirt2 = Item.objects.create(event=event2, name='T-Shirt', default_price=12) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % shirt2.id: '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('not available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_no_quota(self): shirt2 = Item.objects.create(event=self.event, name='T-Shirt', default_price=12) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % shirt2.id: '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_wrong_sales_channel(self): self.ticket.sales_channels = ['bar'] self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_other_sales_channel(self): self.ticket.sales_channels = ['bar'] self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True, PRETIX_SALES_CHANNEL=FoobarSalesChannel) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_in_time_available(self): self.ticket.available_until = now() + timedelta(days=2) self.ticket.available_from = now() - timedelta(days=2) self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_no_longer_available(self): self.ticket.available_until = now() - timedelta(days=2) self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_not_yet_available(self): self.ticket.available_from = now() + timedelta(days=2) self.ticket.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_max_items(self): with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) self.event.settings.max_items_per_order = 5 response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '5', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('more than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_max_items_unlimited_sales_channel(self): with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) self.event.settings.max_items_per_order = 5 response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '5', }, follow=True, PRETIX_SALES_CHANNEL=FoobarSalesChannel) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertNotIn('more than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_max_per_item_variations_failed(self): self.shirt.max_per_order = 1 self.shirt.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_blue.id): '1', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('more than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_max_per_item_failed(self): self.ticket.max_per_order = 2 self.ticket.save() with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('more than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_max_per_item_success(self): self.ticket.max_per_order = 3 self.ticket.save() with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 3) def test_min_per_item_failed(self): self.quota_tickets.size = 30 self.quota_tickets.save() self.event.settings.max_items_per_order = 20 self.ticket.min_per_order = 10 self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '4', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('at least', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_min_per_item_mixed_variations(self): self.quota_shirts.size = 30 self.quota_shirts.save() self.event.settings.max_items_per_order = 20 self.shirt.min_per_order = 10 self.shirt.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.pk): '6', 'variation_%d_%d' % (self.shirt.id, self.shirt_blue.pk): '4', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 10) def test_min_per_item_success(self): self.quota_tickets.size = 30 self.quota_tickets.save() self.event.settings.max_items_per_order = 20 self.ticket.min_per_order = 10 self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '10', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 10) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '3', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 13) def test_quota_full(self): self.quota_tickets.size = 0 self.quota_tickets.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_quota_partly(self): self.quota_tickets.size = 1 self.quota_tickets.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2' }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('23', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_subevent_quota_partly(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.size = 1 self.quota_tickets.subevent = se self.quota_tickets.save() q2 = self.event.quotas.create(name='Foo', size=15) q2.items.add(self.ticket) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', 'subevent': se.pk }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_renew_in_time(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) cp.refresh_from_db() self.assertGreater(cp.expires, now() + timedelta(minutes=10)) def test_renew_expired_successfully(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10) ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1' }, follow=True) with scopes_disabled(): obj = CartPosition.objects.get(id=cp1.id) self.assertEqual(obj.item, self.ticket) self.assertIsNone(obj.variation) self.assertEqual(obj.price, 23) self.assertGreater(obj.expires, now()) def test_renew_questions(self): with scopes_disabled(): cr1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10) ) q1 = Question.objects.create( event=self.event, question='Age', type=Question.TYPE_NUMBER, required=True ) self.ticket.questions.add(q1) cr1.answers.add(QuestionAnswer.objects.create( cartposition=cr1, question=q1, answer='23' )) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): obj = CartPosition.objects.get(id=cr1.id) self.assertEqual(obj.answers.get(question=q1).answer, '23') def test_renew_expired_failed(self): self.quota_tickets.size = 0 self.quota_tickets.save() with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(id=cp1.id).exists()) def test_subevent_renew_expired_successfully(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.save() self.quota_shirts.subevent = se self.quota_shirts.save() cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10), subevent=se ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', 'subevent': se.pk, }, follow=True) with scopes_disabled(): obj = CartPosition.objects.get(id=cp1.id) self.assertEqual(obj.item, self.ticket) self.assertIsNone(obj.variation) self.assertEqual(obj.price, 23) self.assertEqual(obj.subevent, se) self.assertGreater(obj.expires, now()) def test_subevent_renew_expired_failed(self): self.event.has_subevents = True self.event.save() with scopes_disabled(): se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.quota_tickets.subevent = se self.quota_tickets.size = 0 self.quota_tickets.save() cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10), subevent=se ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'subevent': se.pk, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(id=cp1.id).exists()) def test_remove_simple(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('empty', doc.select('.alert-success')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_remove_min(self): self.ticket.min_per_order = 2 self.ticket.save() with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('less than', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_remove_variation(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_red, price=14, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('empty', doc.select('.alert-success')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_remove_invalid(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id='invalid', item=self.shirt, variation=self.shirt_red, price=14, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") assert doc.select('.alert-danger') def test_remove_one_of_multiple(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('updated', doc.select('.alert-success')[0].text) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 1) def test_remove_all(self): with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_red, price=14, expires=now() + timedelta(minutes=10) ) response = self.client.post('/%s/%s/cart/clear' % (self.orga.slug, self.event.slug), {}, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('empty', doc.select('.alert-success')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_remove_expired_voucher(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event, valid_until=now() - timedelta(days=1)) cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10), voucher=v ) self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp.pk }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_voucher_expired_readd(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event, block_quota=True) cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() - timedelta(minutes=10), voucher=v ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', }, follow=True) cp1.refresh_from_db() with scopes_disabled(): self.assertGreater(cp1.expires, now()) assert cp1.voucher == v def test_voucher_variation(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, variation=self.shirt_red, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) def test_voucher_quota(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_shirts, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) def test_voucher_quota_invalid_item(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_tickets, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_item_invalid_item(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'itme_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_item_invalid_variation(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, variation=self.shirt_blue, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_item_not_available_error(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, event=self.event) self.ticket.available_until = now() - timedelta(days=2) self.ticket.save() response = self.client.get('/%s/%s/redeem' % (self.orga.slug, self.event.slug), {'voucher': v.code}, follow=True) assert error_messages['voucher_item_not_available'] in response.rendered_content def test_voucher_price(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, price_mode='set') self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('12.00')) def test_voucher_price_negative(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('1337.00'), event=self.event, price_mode='subtract') self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('0.00')) def test_voucher_price_percent(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='percent', event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('20.70')) def test_voucher_price_subtract(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='subtract', event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('13.00')) def test_voucher_free_price(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='percent', event=self.event) self.ticket.free_price = True self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '21.00', '_voucher_code': v.code, }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('21', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('21', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('21.00')) self.assertEqual(objs[0].price_before_voucher, Decimal('23.00')) def test_voucher_free_price_before_voucher_cap(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='percent', event=self.event) self.ticket.free_price = True self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '41.00', '_voucher_code': v.code, }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('41', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('41', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('41.00')) self.assertEqual(objs[0].price_before_voucher, Decimal('41.00')) def test_voucher_free_price_lower_bound(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('10.00'), price_mode='percent', event=self.event) self.ticket.free_price = False self.ticket.save() response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'price_%d' % self.ticket.id: '20.00', '_voucher_code': v.code, }, follow=True) self.assertRedirects(response, '/%s/%s/?require_cookie=true' % (self.orga.slug, self.event.slug), target_status_code=200) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('Early-bird', doc.select('.cart .cart-row')[0].select('strong')[0].text) self.assertIn('1', doc.select('.cart .cart-row')[0].select('.count')[0].text) self.assertIn('20.70', doc.select('.cart .cart-row')[0].select('.price')[0].text) self.assertIn('20.70', doc.select('.cart .cart-row')[0].select('.price')[1].text) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('20.70')) self.assertEqual(objs[0].price_before_voucher, Decimal('23.00')) def test_voucher_redemed(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, redeemed=1) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_voucher_expired(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, valid_until=now() - timedelta(days=2)) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('expired', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_voucher_invalid(self): response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': 'ASDFGH', }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('not known', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_voucher_quota_empty(self): self.quota_tickets.size = 0 self.quota_tickets.save() with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) def test_voucher_quota_ignore(self): self.quota_tickets.size = 0 self.quota_tickets.save() with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, allow_ignore_quota=True, price_mode='set') self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('12.00')) def test_voucher_quota_block(self): self.quota_tickets.size = 1 self.quota_tickets.save() with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, block_quota=True, price_mode='set') response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('no longer available', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('12.00')) def test_voucher_doubled(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, price_mode='set') response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, Decimal('12.00')) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('currently locked', doc.select('.alert-danger')[0].text) with scopes_disabled(): self.assertEqual(1, CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count()) def test_require_voucher(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_shirts, event=self.event) self.shirt.require_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) def test_require_voucher_failed(self): self.shirt.require_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_quota_other_quota_full(self): with scopes_disabled(): quota2 = self.event.quotas.create(name='Test', size=0) quota2.variations.add(self.shirt_red) v = Voucher.objects.create(quota=self.quota_shirts, event=self.event) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code }, follow=True) with scopes_disabled(): self.assertEqual(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).count(), 0) def test_hide_without_voucher(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, event=self.event) self.shirt.hide_without_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.shirt) self.assertEqual(objs[0].variation, self.shirt_red) def test_hide_without_voucher_failed_because_of_voucher(self): with scopes_disabled(): v = Voucher.objects.create(item=self.shirt, event=self.event, show_hidden_items=False) self.shirt.hide_without_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_hide_without_voucher_failed(self): self.shirt.hide_without_voucher = True self.shirt.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_voucher_multiuse_ok(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=0) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.exists() assert all(cp.voucher == v for cp in positions) def test_voucher_multiuse_multiprod_ok(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_all, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=0) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.exists() assert all(cp.voucher == v for cp in positions) def test_voucher_multiuse_partially(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('only be redeemed 1 more time', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.count() == 1 def test_voucher_multiuse_multiprod_partially(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_all, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.count() == 1 assert all(cp.voucher == v for cp in positions) def test_voucher_multiuse_redeemed(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=2) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '2', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert not positions.exists() def test_voucher_multiuse_multiprod_redeemed(self): with scopes_disabled(): v = Voucher.objects.create(quota=self.quota_all, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=2) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', 'variation_%d_%d' % (self.shirt.id, self.shirt_red.id): '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert not positions.exists() def test_voucher_multiuse_redeemed_in_my_cart(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.ticket, voucher=v, price=Decimal('12.00'), event=self.event, cart_id=self.session_key ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('already been used', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.count() == 1 def test_voucher_multiuse_redeemed_in_other_cart(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, voucher=v, price=Decimal('12.00'), event=self.event, cart_id='other' ) response = self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('currently locked', doc.select('.alert-danger')[0].text) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert not positions.exists() def test_voucher_multiuse_redeemed_in_other_expired_cart(self): with scopes_disabled(): v = Voucher.objects.create(item=self.ticket, value=Decimal('12.00'), event=self.event, max_usages=2, redeemed=1) CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.ticket, voucher=v, price=Decimal('12.00'), event=self.event, cart_id='other' ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', '_voucher_code': v.code, }, follow=True) with scopes_disabled(): positions = CartPosition.objects.filter(cart_id=self.session_key, event=self.event) assert positions.count() == 1 def test_voucher_apply_matching(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=15, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, item=self.ticket, price_mode='set', value=Decimal('4.00') ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-success' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher == v assert cp1.price == Decimal('4.00') assert cp2.voucher is None def test_voucher_apply_partial_in_price_order(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=150, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('4.00'), max_usages=100, redeemed=99 ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-success' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher is None assert cp1.price == Decimal('23.00') assert cp2.voucher == v assert cp2.price == Decimal('4.00') def test_voucher_apply_multiple(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=150, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, price_mode='set', quota=self.quota_all, value=Decimal('4.00'), max_usages=100 ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-success' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher == v assert cp1.price == Decimal('4.00') assert cp2.voucher == v assert cp2.price == Decimal('4.00') def test_voucher_apply_only_one_per_line(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) v2 = Voucher.objects.create( event=self.event, price_mode='set', quota=self.quota_all, value=Decimal('4.00'), max_usages=100 ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=150, expires=now() + timedelta(minutes=10), voucher=v2 ) v = Voucher.objects.create( event=self.event, price_mode='set', quota=self.quota_all, value=Decimal('4.00'), max_usages=100 ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-success' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher == v assert cp1.price == Decimal('4.00') assert cp2.voucher == v2 assert cp2.price == Decimal('150.00') def test_voucher_apply_expired(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=15, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('40.00'), max_usages=100, valid_until=now() - timedelta(days=1) ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-danger' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher is None assert cp2.voucher is None def test_voucher_apply_used(self): with scopes_disabled(): cp1 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=23, expires=now() + timedelta(minutes=10) ) cp2 = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.shirt, variation=self.shirt_blue, price=15, expires=now() + timedelta(minutes=10) ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('40.00'), max_usages=100, redeemed=100 ) response = self.client.post('/%s/%s/cart/voucher' % (self.orga.slug, self.event.slug), { 'voucher': v.code, }, follow=True) assert 'alert-danger' in response.rendered_content with scopes_disabled(): cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.voucher is None assert cp2.voucher is None class CartAddonTest(CartTestMixin, TestCase): @scopes_disabled() def setUp(self): super().setUp() self.workshopcat = ItemCategory.objects.create(name="Workshops", is_addon=True, event=self.event) self.workshopquota = Quota.objects.create(event=self.event, name='Workshop 1', size=5) self.workshop1 = Item.objects.create(event=self.event, name='Workshop 1', category=self.workshopcat, default_price=12) self.workshop2 = Item.objects.create(event=self.event, name='Workshop 2', category=self.workshopcat, default_price=12) self.workshop3 = Item.objects.create(event=self.event, name='Workshop 3', category=self.workshopcat, default_price=12) self.workshop3a = ItemVariation.objects.create(item=self.workshop3, value='3a') self.workshop3b = ItemVariation.objects.create(item=self.workshop3, value='3b') self.workshopquota.items.add(self.workshop1) self.workshopquota.items.add(self.workshop2) self.workshopquota.items.add(self.workshop3) self.workshopquota.variations.add(self.workshop3a) self.workshopquota.variations.add(self.workshop3b) self.addon1 = ItemAddOn.objects.create(base_item=self.ticket, addon_category=self.workshopcat) self.cm = CartManager(event=self.event, cart_id=self.session_key) @classscope(attr='orga') def test_cart_set_simple_addon_included(self): self.addon1.price_included = True self.addon1.save() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() cp2 = cp1.addons.first() assert cp2.item == self.workshop1 assert cp2.price == 0 @classscope(attr='orga') def test_cart_addon_remove_parent(self): self.addon1.price_included = True self.addon1.save() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() cp2 = cp1.addons.first() assert cp2.price == 0 response = self.client.post('/%s/%s/cart/remove' % (self.orga.slug, self.event.slug), { 'id': cp1.pk }, follow=True) doc = BeautifulSoup(response.rendered_content, "lxml") self.assertIn('empty', doc.select('.alert-success')[0].text) self.assertFalse(CartPosition.objects.filter(cart_id=self.session_key, event=self.event).exists()) @classscope(attr='orga') def test_cart_set_simple_addon(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() cp2 = cp1.addons.first() assert cp2.item == self.workshop1 assert cp2.price == 12 @classscope(attr='orga') def test_cart_subevent_set_simple_addon(self): self.event.has_subevents = True self.event.save() se = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.workshopquota.subevent = se self.workshopquota.save() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key, subevent=se ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() cp2 = cp1.addons.first() assert cp2.item == self.workshop1 assert cp2.subevent == se assert cp2.price == 12 @classscope(attr='orga') def test_cart_subevent_set_addon_for_wrong_subevent(self): self.event.has_subevents = True self.event.save() se = self.event.subevents.create(name='Foo', date_from=now(), active=True) se2 = self.event.subevents.create(name='Foo', date_from=now(), active=True) self.workshopquota.subevent = se2 self.workshopquota.save() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key, subevent=se ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) @classscope(attr='orga') def test_wrong_category(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.workshop1.category = self.category self.workshop1.save() with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) @classscope(attr='orga') def test_invalid_parent(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id='other' ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) @classscope(attr='orga') def test_no_quota_for_addon(self): self.workshopquota.delete() cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) @classscope(attr='orga') def test_unknown_addon_item(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': 99999, 'variation': None } ]) @classscope(attr='orga') def test_duplicate_items_for_other_cp(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.set_addons([ { 'addon_to': cp2.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() @classscope(attr='orga') def test_no_duplicate_items_for_same_cp(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.addon1.max_count = 2 self.addon1.save() with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None }, { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop3.pk, 'variation': self.workshop3a.pk }, { 'addon_to': cp1.pk, 'item': self.workshop3.pk, 'variation': self.workshop3b.pk } ]) @classscope(attr='orga') def test_addon_max_count(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None }, { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) self.addon1.max_count = 2 self.addon1.save() self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None }, { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) @classscope(attr='orga') def test_addon_min_count(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.addon1.min_count = 2 self.addon1.max_count = 9 self.addon1.save() with self.assertRaises(CartError): self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None }, { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) @classscope(attr='orga') def test_remove_with_addons(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.remove_item(cp1.pk) self.cm.commit() assert not CartPosition.objects.filter(pk=cp1.pk).exists() assert not CartPosition.objects.filter(pk=cp2.pk).exists() @classscope(attr='orga') def test_remove_addons(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.set_addons([]) self.cm.commit() assert not CartPosition.objects.filter(pk=cp2.pk).exists() @classscope(attr='orga') def test_remove_addons_below_min(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.addon1.min_count = 1 self.addon1.save() with self.assertRaises(CartError): self.cm.set_addons([]) self.cm.commit() assert CartPosition.objects.filter(pk=cp2.pk).exists() @classscope(attr='orga') def test_change_product(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None } ]) self.cm.commit() cp1.refresh_from_db() assert cp1.addons.count() == 1 assert cp1.addons.first().item == self.workshop2 @classscope(attr='orga') def test_unchanged(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) assert not self.cm._operations @classscope(attr='orga') def test_exceed_max(self): self.event.settings.max_items_per_order = 1 cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() @classscope(attr='orga') def test_sold_out(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) self.workshopquota.size = 0 self.workshopquota.save() self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) with self.assertRaises(CartError): self.cm.commit() @classscope(attr='orga') def test_sold_out_unchanged(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.workshopquota.size = 0 self.workshopquota.save() self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop1.pk, 'variation': None } ]) self.cm.commit() @classscope(attr='orga') def test_sold_out_swap_addons(self): cp1 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) cp2 = CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) CartPosition.objects.create( expires=now() + timedelta(minutes=10), item=self.workshop2, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp2 ) self.workshopquota.size = 0 self.workshopquota.save() self.cm.set_addons([ { 'addon_to': cp1.pk, 'item': self.workshop2.pk, 'variation': None }, { 'addon_to': cp2.pk, 'item': self.workshop1.pk, 'variation': None }, ]) self.cm.commit() assert cp1.addons.count() == 1 assert cp2.addons.count() == 1 assert cp1.addons.first().item == self.workshop2 assert cp2.addons.first().item == self.workshop1 @classscope(attr='orga') def test_expand_expired(self): cp1 = CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.ticket, price=Decimal('23.00'), event=self.event, cart_id=self.session_key ) cp2 = CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.workshop1, price=Decimal('12.00'), event=self.event, cart_id=self.session_key, addon_to=cp1 ) self.cm.extend_expired_positions() self.cm.commit() cp1.refresh_from_db() cp2.refresh_from_db() assert cp1.expires > now() assert cp2.expires > now() assert cp2.addon_to_id == cp1.pk @classscope(attr='orga') def test_expand_expired_refresh_voucher(self): v = Voucher.objects.create(item=self.ticket, value=Decimal('20.00'), event=self.event, price_mode='set', valid_until=now() + timedelta(days=2), max_usages=999, redeemed=0) cp1 = CartPosition.objects.create( expires=now() - timedelta(minutes=10), item=self.ticket, price=Decimal('21.50'), event=self.event, cart_id=self.session_key, voucher=v ) self.cm.extend_expired_positions() self.cm.commit() cp1.refresh_from_db() assert cp1.expires > now() assert cp1.price_before_voucher == Decimal('23.00') class CartBundleTest(CartTestMixin, TestCase): @scopes_disabled() def setUp(self): super().setUp() self.trans = Item.objects.create(event=self.event, name='Public Transport Ticket', default_price=2.50, require_bundling=True) self.transquota = Quota.objects.create(event=self.event, name='Transport', size=5) self.transquota.items.add(self.trans) self.bundle1 = ItemBundle.objects.create( base_item=self.ticket, bundled_item=self.trans, designated_price=1.5, count=1 ) self.cm = CartManager(event=self.event, cart_id=self.session_key) @classscope(attr='orga') def test_simple_bundle(self): self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 assert cp.addons.count() == 1 a = cp.addons.get() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_voucher_on_base_product(self): v = self.event.vouchers.create(code="foo", item=self.ticket) self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'voucher': v.code, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 assert cp.addons.count() == 1 assert cp.voucher == v assert cp.price_before_voucher == 23 - 1.5 a = cp.addons.get() assert a.item == self.trans assert a.price == 1.5 assert not a.voucher @classscope(attr='orga') def test_discounted_voucher_on_base_product(self): v = self.event.vouchers.create(code="foo", item=self.ticket, price_mode='subtract', value=Decimal('1.50')) self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'voucher': v.code, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 - 1.5 assert cp.addons.count() == 1 assert cp.voucher == v assert cp.price_before_voucher == 23 - 1.5 a = cp.addons.get() assert a.item == self.trans assert a.price == 1.5 assert not a.voucher @classscope(attr='orga') def test_simple_bundle_with_variation(self): v = self.trans.variations.create(value="foo", default_price=4) self.transquota.variations.add(v) self.bundle1.bundled_variation = v self.bundle1.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 assert cp.addons.count() == 1 a = cp.addons.get() assert a.item == self.trans assert a.variation == v assert a.price == 1.5 @classscope(attr='orga') def test_multiple_bundles(self): ItemBundle.objects.create( base_item=self.ticket, bundled_item=self.trans, designated_price=1.5, count=1 ) self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 - 1.5 assert cp.addons.count() == 2 a = cp.addons.first() assert a.item == self.trans assert a.price == 1.5 a = cp.addons.last() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_bundle_with_count(self): self.bundle1.count = 2 self.bundle1.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 - 1.5 - 1.5 assert cp.addons.count() == 2 a = cp.addons.first() assert a.item == self.trans assert a.price == 1.5 a = cp.addons.last() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_bundle_position_multiple(self): self.bundle1.count = 2 self.bundle1.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 2 } ]) self.cm.commit() assert CartPosition.objects.filter(addon_to__isnull=True).count() == 2 assert CartPosition.objects.count() == 6 cp = CartPosition.objects.filter(addon_to__isnull=True).first() assert cp.item == self.ticket assert cp.price == 23 - 1.5 - 1.5 assert cp.addons.count() == 2 a = cp.addons.first() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_bundle_position_free_price(self): self.ticket.free_price = True self.ticket.default_price = 1 self.ticket.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, 'price': 20 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 20 - 1.5 a = cp.addons.get() assert a.item == self.trans assert a.price == 1.5 @classscope(attr='orga') def test_bundle_position_free_price_lower_than_designated_price(self): self.ticket.free_price = True self.ticket.default_price = 1 self.ticket.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, 'price': 1.2 } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == Decimal('0.00') a = cp.addons.get() assert a.item == self.trans assert a.price == Decimal('1.50') @classscope(attr='orga') def test_bundle_position_without_designated_price(self): self.bundle1.designated_price = 0 self.bundle1.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, } ]) self.cm.commit() cp = CartPosition.objects.get(addon_to__isnull=True) assert cp.item == self.ticket assert cp.price == 23 a = cp.addons.get() assert a.item == self.trans assert a.price == 0 @classscope(attr='orga') def test_bundle_sold_out(self): self.transquota.size = 0 self.transquota.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, } ]) with self.assertRaises(CartError): self.cm.commit() assert not CartPosition.objects.exists() @classscope(attr='orga') def test_bundle_sold_partial_in_bundle(self): self.bundle1.count = 2 self.bundle1.save() self.transquota.size = 1 self.transquota.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1, } ]) with self.assertRaises(CartError): self.cm.commit() assert not CartPosition.objects.exists() @classscope(attr='orga') def test_bundle_sold_partial_in_bundle_multiple_positions(self): self.bundle1.count = 2 self.bundle1.save() self.transquota.size = 3 self.transquota.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 2, } ]) with self.assertRaises(CartError): self.cm.commit() assert CartPosition.objects.filter(addon_to__isnull=True).count() == 1 assert CartPosition.objects.filter(addon_to__isnull=False).count() == 2 @classscope(attr='orga') def test_multiple_bundles_sold_out_partially(self): ItemBundle.objects.create( base_item=self.ticket, bundled_item=self.trans, designated_price=1.5, count=1 ) self.transquota.size = 1 self.transquota.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) with self.assertRaises(CartError): self.cm.commit() assert not CartPosition.objects.exists() @classscope(attr='orga') def test_require_bundling(self): self.ticket.require_bundling = True self.ticket.save() with self.assertRaises(CartError): self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) assert not CartPosition.objects.exists() @classscope(attr='orga') def test_bundle_item_disabled(self): self.ticket.active = False self.ticket.save() with self.assertRaises(CartError): self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) assert not CartPosition.objects.exists() @classscope(attr='orga') def test_bundle_different_tax_rates(self): tr19 = self.event.tax_rules.create( name='VAT', rate=Decimal('19.00') ) tr7 = self.event.tax_rules.create( name='VAT', rate=Decimal('7.00'), price_includes_tax=True, ) self.event.settings.display_net_prices = True self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() assert CartPosition.objects.filter(addon_to__isnull=True).count() == 1 assert CartPosition.objects.count() == 2 cp = CartPosition.objects.filter(addon_to__isnull=True).first() assert cp.item == self.ticket assert cp.price == Decimal('21.50') assert cp.tax_rate == Decimal('19.00') assert cp.tax_value == Decimal('3.43') assert cp.addons.count() == 1 assert cp.includes_tax a = cp.addons.first() assert a.item == self.trans assert a.price == 1.5 assert a.tax_rate == Decimal('7.00') assert a.tax_value == Decimal('0.10') assert a.includes_tax @classscope(attr='orga') def test_one_bundled_one_addon(self): cat = self.event.categories.create(name="addons") self.trans.require_bundling = False self.trans.category = cat self.trans.save() ItemAddOn.objects.create(base_item=self.ticket, addon_category=cat) self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.filter(addon_to__isnull=True).first() assert cp.item == self.ticket assert cp.price == Decimal('21.50') b = cp.addons.first() assert b.item == self.trans self.cm = CartManager(event=self.event, cart_id=self.session_key) self.cm.set_addons([ { 'addon_to': cp.pk, 'item': self.trans.pk, 'variation': None } ]) self.cm.commit() assert cp.addons.count() == 2 a = cp.addons.exclude(pk=b.pk).get() assert a.item == self.trans assert a.price == 2.5 @classscope(attr='orga') def test_extend_keep_price(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == 21.5 assert b.price == 1.5 @classscope(attr='orga') def test_extend_designated_price_changed(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.bundle1.designated_price = Decimal('2.00') self.bundle1.save() self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == 21 assert b.price == 2 @classscope(attr='orga') def test_extend_designated_price_changed_beyond_base_price(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.bundle1.designated_price = Decimal('40.00') self.bundle1.save() self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == 0 assert b.price == 40 @classscope(attr='orga') def test_voucher_apply_multiple(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() + timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() + timedelta(minutes=10), is_bundled=True ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('4.00'), max_usages=100 ) self.cm.apply_voucher(v.code) self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == Decimal('2.50') assert b.price == Decimal('1.50') @classscope(attr='orga') def test_voucher_apply_multiple_reduce_beyond_designated_price(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() + timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() + timedelta(minutes=10), is_bundled=True ) v = Voucher.objects.create( event=self.event, price_mode='set', value=Decimal('0.00'), max_usages=100 ) self.cm.apply_voucher(v.code) self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == Decimal('0.00') assert b.price == Decimal('1.50') @classscope(attr='orga') def test_extend_base_price_changed(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.ticket.default_price = Decimal('25.00') self.ticket.save() self.cm.commit() cp.refresh_from_db() b.refresh_from_db() assert cp.price == 23.5 assert b.price == 1.5 @classscope(attr='orga') def test_extend_bundled_and_addon(self): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) a = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=False ) b = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) self.cm.commit() cp.refresh_from_db() b.refresh_from_db() a.refresh_from_db() assert cp.price == 21.5 assert b.price == 1.5 assert a.price == 2.5 @classscope(attr='orga') def test_expired_reverse_charge_only_bundled(self): tr19 = self.event.tax_rules.create(name='VAT', rate=Decimal('19.00')) ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT') ) tr7 = self.event.tax_rules.create(name='VAT', rate=Decimal('7.00'), eu_reverse_charge=True, home_country=Country('DE')) self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) a = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) update_tax_rates(self.event, self.session_key, ia) cp.refresh_from_db() a.refresh_from_db() assert cp.price == Decimal('21.50') assert cp.tax_rate == Decimal('19.00') assert cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax self.cm.invoice_address = ia self.cm.commit() cp.refresh_from_db() a.refresh_from_db() assert cp.price == Decimal('21.50') assert cp.tax_rate == Decimal('19.00') assert cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == 0 assert not a.includes_tax @classscope(attr='orga') def test_expired_reverse_charge_all(self): ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT') ) tr19 = self.event.tax_rules.create(name='VAT', rate=Decimal('19.00'), eu_reverse_charge=True, home_country=Country('DE')) tr7 = self.event.tax_rules.create(name='VAT', rate=Decimal('7.00'), eu_reverse_charge=True, home_country=Country('DE')) self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, price=21.5, expires=now() - timedelta(minutes=10) ) a = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.trans, addon_to=cp, price=1.5, expires=now() - timedelta(minutes=10), is_bundled=True ) update_tax_rates(self.event, self.session_key, ia) cp.refresh_from_db() a.refresh_from_db() assert cp.price == Decimal('18.07') assert cp.tax_rate == Decimal('0.00') assert not cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax self.cm.invoice_address = ia self.cm.commit() cp.refresh_from_db() a.refresh_from_db() assert cp.price == Decimal('18.07') assert cp.tax_rate == Decimal('0.00') assert not cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax @classscope(attr='orga') def test_reverse_charge_all_add(self): ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT') ) tr19 = self.event.tax_rules.create(name='VAT', rate=Decimal('19.00'), eu_reverse_charge=True, home_country=Country('DE')) tr7 = self.event.tax_rules.create(name='VAT', rate=Decimal('7.00'), eu_reverse_charge=True, home_country=Country('DE')) self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() self.cm.invoice_address = ia self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.filter(addon_to__isnull=True).get() a = CartPosition.objects.filter(addon_to__isnull=False).get() assert cp.price == Decimal('18.07') assert cp.tax_rate == Decimal('0.00') assert not cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax @classscope(attr='orga') def test_reverse_charge_bundled_add(self): ia = InvoiceAddress.objects.create( is_business=True, vat_id='ATU1234567', vat_id_validated=True, country=Country('AT') ) tr19 = self.event.tax_rules.create(name='VAT', rate=Decimal('19.00')) tr7 = self.event.tax_rules.create(name='VAT', rate=Decimal('7.00'), eu_reverse_charge=True, home_country=Country('DE')) self.ticket.tax_rule = tr19 self.ticket.save() self.trans.tax_rule = tr7 self.trans.save() self.cm.invoice_address = ia self.cm.add_new_items([ { 'item': self.ticket.pk, 'variation': None, 'count': 1 } ]) self.cm.commit() cp = CartPosition.objects.filter(addon_to__isnull=True).get() a = CartPosition.objects.filter(addon_to__isnull=False).get() assert cp.price == Decimal('21.50') assert cp.tax_rate == Decimal('19.00') assert cp.includes_tax assert a.price == Decimal('1.40') assert a.tax_rate == Decimal('0.00') assert not a.includes_tax class CartSeatingTest(CartTestMixin, TestCase): @scopes_disabled() def setUp(self): super().setUp() self.plan = SeatingPlan.objects.create( name="Plan", organizer=self.orga, layout="{}" ) self.event.seat_category_mappings.create( layout_category='Stalls', product=self.ticket ) self.seat_a1 = self.event.seats.create(name="A1", product=self.ticket, seat_guid="A1") self.seat_a2 = self.event.seats.create(name="A2", product=self.ticket, seat_guid="A2") self.seat_a3 = self.event.seats.create(name="A3", product=self.ticket, seat_guid="A3") self.cm = CartManager(event=self.event, cart_id=self.session_key) def test_add_with_seat_without_variation(self): self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertEqual(objs[0].seat, self.seat_a1) self.assertIsNone(objs[0].variation) self.assertEqual(objs[0].price, 23) def test_add_with_seat_with_missing_variation(self): with scopes_disabled(): v1 = self.ticket.variations.create(value='Regular', active=True) self.quota_tickets.variations.add(v1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_blocked(self): self.seat_a1.blocked = True self.seat_a1.save() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_unseated_product(self): with scopes_disabled(): self.event.seat_category_mappings.all().delete() self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_wrong_product(self): with scopes_disabled(): self.event.seat_category_mappings.all().update(product=self.shirt) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_specific_voucher(self): with scopes_disabled(): v = self.event.vouchers.create(item=self.ticket, seat=self.seat_a1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1, '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].voucher, v) self.assertEqual(objs[0].seat, self.seat_a1) def test_add_specific_voucher_wrong_seat(self): with scopes_disabled(): v = self.event.vouchers.create(item=self.ticket, seat=self.seat_a1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a2, '_voucher_code': v.code, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_unknown(self): self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: 'asdasdasd', }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_seat_required(self): self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'item_%d' % self.ticket.id: '1', }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) def test_add_with_seat_with_variation(self): with scopes_disabled(): v1 = self.ticket.variations.create(value='Regular', active=True) self.quota_tickets.variations.add(v1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d_%d' % (self.ticket.id, v1.pk): self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].item, self.ticket) self.assertEqual(objs[0].seat, self.seat_a1) self.assertEqual(objs[0].variation, v1) self.assertEqual(objs[0].price, 23) def test_add_with_seat_to_cart_twice(self): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, seat=self.seat_a1, price=23, expires=now() + timedelta(minutes=10) ) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 1) self.assertEqual(objs[0].seat, self.seat_a1) def test_add_used_seat_to_cart(self): CartPosition.objects.create( event=self.event, cart_id='aaa', item=self.ticket, seat=self.seat_a1, price=23, expires=now() + timedelta(minutes=10) ) self.client.post('/%s/%s/cart/add' % (self.orga.slug, self.event.slug), { 'seat_%d' % self.ticket.id: self.seat_a1.seat_guid, }, follow=True) with scopes_disabled(): objs = list(CartPosition.objects.filter(cart_id=self.session_key, event=self.event)) self.assertEqual(len(objs), 0) @scopes_disabled() def test_extend_seat_still_available(self): with scopes_disabled(): cp = CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, seat=self.seat_a1, price=21.5, expires=now() - timedelta(minutes=10) ) self.cm.commit() cp.refresh_from_db() assert cp.seat == self.seat_a1 @scopes_disabled() def test_extend_seat_taken(self): with scopes_disabled(): CartPosition.objects.create( event=self.event, cart_id=self.session_key, item=self.ticket, seat=self.seat_a1, price=21.5, expires=now() - timedelta(minutes=10) ) CartPosition.objects.create( event=self.event, cart_id='secondcart', item=self.ticket, seat=self.seat_a1, price=21.5, expires=now() + timedelta(minutes=10) ) with self.assertRaises(CartError): self.cm.commit() assert not CartPosition.objects.filter(cart_id=self.session_key).exists()

true

f7fc14b2a7f0c25b471e8d3bb44e9d6db6839d01

751

py

Python

python/paddle_serving_client/version.py

barrierye/Serving

8b9bd158464d447d5fcc0db23786d4dd72ce3d24

[ "Apache-2.0" ]

null

python/paddle_serving_client/version.py

barrierye/Serving

8b9bd158464d447d5fcc0db23786d4dd72ce3d24

[ "Apache-2.0" ]

3

2020-03-05T03:45:46.000Z

2020-03-05T04:26:26.000Z

python/paddle_serving_server/version.py

barrierye/Serving

8b9bd158464d447d5fcc0db23786d4dd72ce3d24

[ "Apache-2.0" ]

null

# Copyright (c) 2020 PaddlePaddle 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. """ Paddle Serving Client version string """ serving_client_version = "0.3.2" serving_server_version = "0.3.2" module_proto_version = "0.3.2"

41.722222

74

0.76032

serving_client_version = "0.3.2" serving_server_version = "0.3.2" module_proto_version = "0.3.2"

true

f7fc14b3d632625b2d9bc28f932d704e20f57425

7,646

py

Python

samples/distributed/explicit/poly_gemm_bc.py

jnice-81/dace

5211794a2d17b7189037ac485ab0b292fb02aa0d

[ "BSD-3-Clause" ]

227

2019-03-15T23:39:06.000Z

2022-03-30T07:49:08.000Z

samples/distributed/explicit/poly_gemm_bc.py

jnice-81/dace

5211794a2d17b7189037ac485ab0b292fb02aa0d

[ "BSD-3-Clause" ]

834

2019-07-31T22:49:31.000Z

2022-03-28T14:01:32.000Z

samples/distributed/explicit/poly_gemm_bc.py

jnice-81/dace

5211794a2d17b7189037ac485ab0b292fb02aa0d

[ "BSD-3-Clause" ]

64

2019-03-19T05:40:37.000Z

2022-03-11T15:02:42.000Z

# Copyright 2019-2021 ETH Zurich and the DaCe authors. All rights reserved. """ Explicitly distributed Gemm sample with block-cyclic distribution.""" import dace as dc import numpy as np import os import timeit from dace.sdfg.utils import load_precompiled_sdfg from mpi4py import MPI lNI = dc.symbol('lNI', dtype=dc.int64, integer=True, positive=True) lNJ = dc.symbol('lNJ', dtype=dc.int64, integer=True, positive=True) lNKa = dc.symbol('lNKa', dtype=dc.int64, integer=True, positive=True) lNKb = dc.symbol('lNKb', dtype=dc.int64, integer=True, positive=True) Px = dc.symbol('Px', dtype=dc.int32, integer=True, positive=True) Py = dc.symbol('Py', dtype=dc.int32, integer=True, positive=True) Bx = dc.symbol('Bx', dtype=dc.int32, integer=True, positive=True) By = dc.symbol('By', dtype=dc.int32, integer=True, positive=True) NI = lNI * Px NJ = lNJ * Py NK = lNKa * Py # == lNKb * Px def relerr(ref, val): return np.linalg.norm(ref - val) / np.linalg.norm(ref) @dc.program def gemm_shared(alpha: dc.float64, beta: dc.float64, C: dc.float64[NI, NJ], A: dc.float64[NI, NK], B: dc.float64[NK, NJ]): C[:] = alpha * A @ B + beta * C @dc.program def gemm_distr(alpha: dc.float64, beta: dc.float64, C: dc.float64[NI, NJ], A: dc.float64[NI, NK], B: dc.float64[NK, NJ]): lA = np.empty((lNI, lNKa), dtype=A.dtype) lB = np.empty((lNKb, lNJ), dtype=B.dtype) lC = np.empty((lNI, lNJ), dtype=A.dtype) Av = np.reshape(A, (Px, lNI, Py, lNKa)) A2 = np.transpose(Av, axes=(0, 2, 1, 3)) Bv = np.reshape(B, (Px, lNKb, Py, lNJ)) B2 = np.transpose(Bv, axes=(0, 2, 1, 3)) Cv = np.reshape(C, (Px, lNI, Py, lNJ)) C2 = np.transpose(Cv, axes=(0, 2, 1, 3)) dc.comm.Scatter(A2, lA) dc.comm.Scatter(B2, lB) dc.comm.Scatter(C2, lC) tmp = distr.MatMult(lA, lB, (NI, NJ, NK)) lC[:] = alpha * tmp + beta * lC dc.comm.Gather(lC, C2) C[:] = np.transpose(C2, (0, 2, 1, 3)) @dc.program def gemm_distr2(alpha: dc.float64, beta: dc.float64, C: dc.float64[lNI, lNJ], A: dc.float64[lNI, lNKa], B: dc.float64[lNKb, lNJ]): tmp = distr.MatMult(A, B, (lNI * Px, lNJ * Py, NK)) C[:] = alpha * tmp + beta * C @dc.program def gemm_distr3(alpha: dc.float64, beta: dc.float64, C: dc.float64[lNI, lNJ], A: dc.float64[lNI, lNKa], B: dc.float64[lNKb, lNJ]): tmp = distr.MatMult(A, B, (lNI * Px, lNJ * Py, NK), (Bx, By), (Bx, By)) C[:] = alpha * tmp + beta * C def init_data(NI, NJ, NK, datatype): alpha = datatype(1.5) beta = datatype(1.2) rng = np.random.default_rng(42) C = np.zeros((NI, NJ), dtype=datatype) A = np.arange(0, NI * NK, dtype=datatype).reshape(NI, NK) B = np.arange(NI * NK, NI * NK + NK * NJ, dtype=datatype).reshape(NK, NJ) return alpha, beta, C, A, B def time_to_ms(raw): return int(round(raw * 1000)) grid = {1: (1, 1), 2: (2, 1), 4: (2, 2), 8: (4, 2), 16: (4, 4)} if __name__ == "__main__": # Initialization NI, NJ, NK = 4096, 4096, 4096 comm = MPI.COMM_WORLD rank = comm.Get_rank() size = comm.Get_size() Px, Py = grid[size] Bx, By = 128, 128 lNI = NI // Px lNJ = NJ // Py lNKa = NK // Py lNKb = NK // Px BI = NI // (Px * Bx) BJ = NJ // (Py * By) BKa = NK // (Py * By) BKb = NK // (Px * Bx) def setup_func(rank): if rank == 0: return init_data(NI, NJ, NK, np.float64) else: return (1.5, 1.2, None, None, None) alpha, beta, C, A, B = setup_func(rank) lA = np.empty((lNI, lNKa), dtype=np.float64) lB = np.empty((lNKb, lNJ), dtype=np.float64) lC = np.empty((lNI, lNJ), dtype=np.float64) A2, B2, C2 = None, None, None if rank == 0: A2 = np.empty((Px, Py, lNI, lNKa), dtype=np.float64) for pi in range(Px): for pj in range(Py): for li in range(BI): for lj in range(BKa): si = (pi + li * Px) * Bx sj = (pj + lj * Py) * By A2[pi, pj, li * Bx:li * Bx + Bx, lj * By:lj * By + By] = A[si:si + Bx, sj:sj + By] B2 = np.empty((Px, Py, lNKb, lNJ), dtype=np.float64) for pi in range(Px): for pj in range(Py): for li in range(BKb): for lj in range(BJ): si = (pi + li * Px) * Bx sj = (pj + lj * Py) * By B2[pi, pj, li * Bx:li * Bx + Bx, lj * By:lj * By + By] = B[si:si + Bx, sj:sj + By] C2 = np.empty((Px, Py, lNI, lNJ), dtype=np.float64) for pi in range(Px): for pj in range(Py): for li in range(BI): for lj in range(BJ): si = (pi + li * Px) * Bx sj = (pj + lj * Py) * By C2[pi, pj, li * Bx:li * Bx + Bx, lj * By:lj * By + By] = C[si:si + Bx, sj:sj + By] comm.Scatter(A2, lA) comm.Scatter(B2, lB) comm.Scatter(C2, lC) tC = np.copy(lC) mpi_sdfg = None if rank == 0: mpi_sdfg = gemm_distr3.to_sdfg(strict=False) mpi_sdfg.apply_strict_transformations() mpi_func = mpi_sdfg.compile() comm.Barrier() if rank > 0: build_folder = dc.Config.get('default_build_folder') mpi_func = load_precompiled_sdfg( os.path.join(build_folder, gemm_distr3.name)) ldict = locals() comm.Barrier() mpi_func(A=lA, B=lB, C=tC, alpha=alpha, beta=beta, NI=NI, NJ=NJ, NK=NK, lNI=lNI, lNJ=lNJ, lNKa=lNKa, lNKb=lNKb, Px=Px, Py=Py, Bx=Bx, By=By) comm.Gather(tC, C2) if rank == 0: for pi in range(Px): for pj in range(Py): for li in range(BI): for lj in range(BJ): si = (pi + li * Px) * Bx sj = (pj + lj * Py) * By C[si:si + Bx, sj:sj + By] = C2[pi, pj, li * Bx:li * Bx + Bx, lj * By:lj * By + By] comm.Barrier() stmt = ("mpi_func(A=lA, B=lB, C=tC, alpha=alpha, beta=beta, " "NI=NI, NJ=NJ, NK=NK, lNI=lNI, lNJ=lNJ, lNKa=lNKa, lNKb=lNKb, " "Px=Px, Py=Py, Bx=Bx, By=By)") setup = "tC = np.copy(lC); comm.Barrier()" repeat = 10 raw_time_list = timeit.repeat(stmt, setup=setup, repeat=repeat, number=1, globals=ldict) raw_time = np.median(raw_time_list) comm.Barrier() if rank == 0: ms_time = time_to_ms(raw_time) print("Median is {}ms".format(ms_time)) alpha, beta, refC, refA, refB = init_data(NI, NJ, NK, np.float64) shared_sdfg = gemm_shared.compile() shared_sdfg(A=refA, B=refB, C=refC, alpha=alpha, beta=beta, NI=NI, NJ=NJ, NK=NK, lNI=lNI, lNJ=lNJ, lNKa=lNKa, lNKb=lNKb, Px=Px, Py=Py) print("=======Validation=======") assert (np.allclose(C, refC)) print("OK")

30.462151

77

0.485613

import dace as dc import numpy as np import os import timeit from dace.sdfg.utils import load_precompiled_sdfg from mpi4py import MPI lNI = dc.symbol('lNI', dtype=dc.int64, integer=True, positive=True) lNJ = dc.symbol('lNJ', dtype=dc.int64, integer=True, positive=True) lNKa = dc.symbol('lNKa', dtype=dc.int64, integer=True, positive=True) lNKb = dc.symbol('lNKb', dtype=dc.int64, integer=True, positive=True) Px = dc.symbol('Px', dtype=dc.int32, integer=True, positive=True) Py = dc.symbol('Py', dtype=dc.int32, integer=True, positive=True) Bx = dc.symbol('Bx', dtype=dc.int32, integer=True, positive=True) By = dc.symbol('By', dtype=dc.int32, integer=True, positive=True) NI = lNI * Px NJ = lNJ * Py NK = lNKa * Py def relerr(ref, val): return np.linalg.norm(ref - val) / np.linalg.norm(ref) @dc.program def gemm_shared(alpha: dc.float64, beta: dc.float64, C: dc.float64[NI, NJ], A: dc.float64[NI, NK], B: dc.float64[NK, NJ]): C[:] = alpha * A @ B + beta * C @dc.program def gemm_distr(alpha: dc.float64, beta: dc.float64, C: dc.float64[NI, NJ], A: dc.float64[NI, NK], B: dc.float64[NK, NJ]): lA = np.empty((lNI, lNKa), dtype=A.dtype) lB = np.empty((lNKb, lNJ), dtype=B.dtype) lC = np.empty((lNI, lNJ), dtype=A.dtype) Av = np.reshape(A, (Px, lNI, Py, lNKa)) A2 = np.transpose(Av, axes=(0, 2, 1, 3)) Bv = np.reshape(B, (Px, lNKb, Py, lNJ)) B2 = np.transpose(Bv, axes=(0, 2, 1, 3)) Cv = np.reshape(C, (Px, lNI, Py, lNJ)) C2 = np.transpose(Cv, axes=(0, 2, 1, 3)) dc.comm.Scatter(A2, lA) dc.comm.Scatter(B2, lB) dc.comm.Scatter(C2, lC) tmp = distr.MatMult(lA, lB, (NI, NJ, NK)) lC[:] = alpha * tmp + beta * lC dc.comm.Gather(lC, C2) C[:] = np.transpose(C2, (0, 2, 1, 3)) @dc.program def gemm_distr2(alpha: dc.float64, beta: dc.float64, C: dc.float64[lNI, lNJ], A: dc.float64[lNI, lNKa], B: dc.float64[lNKb, lNJ]): tmp = distr.MatMult(A, B, (lNI * Px, lNJ * Py, NK)) C[:] = alpha * tmp + beta * C @dc.program def gemm_distr3(alpha: dc.float64, beta: dc.float64, C: dc.float64[lNI, lNJ], A: dc.float64[lNI, lNKa], B: dc.float64[lNKb, lNJ]): tmp = distr.MatMult(A, B, (lNI * Px, lNJ * Py, NK), (Bx, By), (Bx, By)) C[:] = alpha * tmp + beta * C def init_data(NI, NJ, NK, datatype): alpha = datatype(1.5) beta = datatype(1.2) rng = np.random.default_rng(42) C = np.zeros((NI, NJ), dtype=datatype) A = np.arange(0, NI * NK, dtype=datatype).reshape(NI, NK) B = np.arange(NI * NK, NI * NK + NK * NJ, dtype=datatype).reshape(NK, NJ) return alpha, beta, C, A, B def time_to_ms(raw): return int(round(raw * 1000)) grid = {1: (1, 1), 2: (2, 1), 4: (2, 2), 8: (4, 2), 16: (4, 4)} if __name__ == "__main__": NI, NJ, NK = 4096, 4096, 4096 comm = MPI.COMM_WORLD rank = comm.Get_rank() size = comm.Get_size() Px, Py = grid[size] Bx, By = 128, 128 lNI = NI // Px lNJ = NJ // Py lNKa = NK // Py lNKb = NK // Px BI = NI // (Px * Bx) BJ = NJ // (Py * By) BKa = NK // (Py * By) BKb = NK // (Px * Bx) def setup_func(rank): if rank == 0: return init_data(NI, NJ, NK, np.float64) else: return (1.5, 1.2, None, None, None) alpha, beta, C, A, B = setup_func(rank) lA = np.empty((lNI, lNKa), dtype=np.float64) lB = np.empty((lNKb, lNJ), dtype=np.float64) lC = np.empty((lNI, lNJ), dtype=np.float64) A2, B2, C2 = None, None, None if rank == 0: A2 = np.empty((Px, Py, lNI, lNKa), dtype=np.float64) for pi in range(Px): for pj in range(Py): for li in range(BI): for lj in range(BKa): si = (pi + li * Px) * Bx sj = (pj + lj * Py) * By A2[pi, pj, li * Bx:li * Bx + Bx, lj * By:lj * By + By] = A[si:si + Bx, sj:sj + By] B2 = np.empty((Px, Py, lNKb, lNJ), dtype=np.float64) for pi in range(Px): for pj in range(Py): for li in range(BKb): for lj in range(BJ): si = (pi + li * Px) * Bx sj = (pj + lj * Py) * By B2[pi, pj, li * Bx:li * Bx + Bx, lj * By:lj * By + By] = B[si:si + Bx, sj:sj + By] C2 = np.empty((Px, Py, lNI, lNJ), dtype=np.float64) for pi in range(Px): for pj in range(Py): for li in range(BI): for lj in range(BJ): si = (pi + li * Px) * Bx sj = (pj + lj * Py) * By C2[pi, pj, li * Bx:li * Bx + Bx, lj * By:lj * By + By] = C[si:si + Bx, sj:sj + By] comm.Scatter(A2, lA) comm.Scatter(B2, lB) comm.Scatter(C2, lC) tC = np.copy(lC) mpi_sdfg = None if rank == 0: mpi_sdfg = gemm_distr3.to_sdfg(strict=False) mpi_sdfg.apply_strict_transformations() mpi_func = mpi_sdfg.compile() comm.Barrier() if rank > 0: build_folder = dc.Config.get('default_build_folder') mpi_func = load_precompiled_sdfg( os.path.join(build_folder, gemm_distr3.name)) ldict = locals() comm.Barrier() mpi_func(A=lA, B=lB, C=tC, alpha=alpha, beta=beta, NI=NI, NJ=NJ, NK=NK, lNI=lNI, lNJ=lNJ, lNKa=lNKa, lNKb=lNKb, Px=Px, Py=Py, Bx=Bx, By=By) comm.Gather(tC, C2) if rank == 0: for pi in range(Px): for pj in range(Py): for li in range(BI): for lj in range(BJ): si = (pi + li * Px) * Bx sj = (pj + lj * Py) * By C[si:si + Bx, sj:sj + By] = C2[pi, pj, li * Bx:li * Bx + Bx, lj * By:lj * By + By] comm.Barrier() stmt = ("mpi_func(A=lA, B=lB, C=tC, alpha=alpha, beta=beta, " "NI=NI, NJ=NJ, NK=NK, lNI=lNI, lNJ=lNJ, lNKa=lNKa, lNKb=lNKb, " "Px=Px, Py=Py, Bx=Bx, By=By)") setup = "tC = np.copy(lC); comm.Barrier()" repeat = 10 raw_time_list = timeit.repeat(stmt, setup=setup, repeat=repeat, number=1, globals=ldict) raw_time = np.median(raw_time_list) comm.Barrier() if rank == 0: ms_time = time_to_ms(raw_time) print("Median is {}ms".format(ms_time)) alpha, beta, refC, refA, refB = init_data(NI, NJ, NK, np.float64) shared_sdfg = gemm_shared.compile() shared_sdfg(A=refA, B=refB, C=refC, alpha=alpha, beta=beta, NI=NI, NJ=NJ, NK=NK, lNI=lNI, lNJ=lNJ, lNKa=lNKa, lNKb=lNKb, Px=Px, Py=Py) print("=======Validation=======") assert (np.allclose(C, refC)) print("OK")

true

f7fc15745d3e078c2d6f6458cdaa26990bc06ae9

891

py

Python

113.py

whoophee/DCP

ea023dc7c01a13ee17f7e9445c7a70a092025254

[ "MIT" ]

2

2018-07-29T18:39:15.000Z

2020-09-02T16:28:36.000Z

113.py

whoophee/DCP

ea023dc7c01a13ee17f7e9445c7a70a092025254

[ "MIT" ]

null

113.py

whoophee/DCP

ea023dc7c01a13ee17f7e9445c7a70a092025254

[ "MIT" ]

null

# This problem was asked by Google. # Given a string of words delimited by spaces, reverse the words in string. For example, # given "hello world here", return "here world hello" # Follow-up: given a mutable string representation, can you perform this operation in-place? #### def reverse_string(arr, i, j): n = j - i for x in range(n//2): newx = n - x - 1 arr[i + x], arr[i + newx] = arr[i + newx], arr[i + x] def reverse_words(arr): start = 0 n = len(arr) i = 0 while i < n: # reverse each word individually if arr[i] == ' ': reverse_string(arr, start, i) start = i + 1 i += 1 # takes care of word terminated by end of array (instead of ' ') reverse_string(arr, start, i) # now reverse the entire string reverse_string(arr, 0, n) #### t = list("1234 5678 ") reverse_words(t) print(t)

29.7

92

0.597082

everse_string(arr, i, j): n = j - i for x in range(n//2): newx = n - x - 1 arr[i + x], arr[i + newx] = arr[i + newx], arr[i + x] def reverse_words(arr): start = 0 n = len(arr) i = 0 while i < n: if arr[i] == ' ': reverse_string(arr, start, i) start = i + 1 i += 1 reverse_string(arr, start, i) reverse_string(arr, 0, n) ist("1234 5678 ") reverse_words(t) print(t)

true

f7fc1610967dcf234002a29effdc69bb8ac378af

1,108

py

Python

Code/Data Collection & Cleaning _ Download Videos/All_DataCollection(AB).py

Caffa/SwitchingVocalsNN

877e6416e1f774ad39d5d9a9080014e8fce55414

[ "MIT" ]

null

Code/Data Collection & Cleaning _ Download Videos/All_DataCollection(AB).py

Caffa/SwitchingVocalsNN

877e6416e1f774ad39d5d9a9080014e8fce55414

[ "MIT" ]

null

Code/Data Collection & Cleaning _ Download Videos/All_DataCollection(AB).py

Caffa/SwitchingVocalsNN

877e6416e1f774ad39d5d9a9080014e8fce55414

[ "MIT" ]

null

import A_downloadVids import B_processDownloads import C_FixMissedDownloads def run(): channelList = [ "https://www.youtube.com/channel/UC_OTXxqZn1F0vtqiCLRDEmQ", #ღ NightcoreGalaxy ღ "https://www.youtube.com/channel/UCtY3IhWM6UOlMBoUG-cNQyQ", #Foxy "https://www.youtube.com/channel/UCNOymlVIxfFW0mVmZiNq6DA", #S A R C A S T I C . "https://www.youtube.com/channel/UCgf41dj34t-zhBD9L2WPwyQ", #Cordelia Nightcore "https://www.youtube.com/channel/UCjlKUwbB8RXqK1vKOqWxiHg", #Smokey "https://www.youtube.com/channel/UCnwu06NdREQjWprJC8fvRWw", #Tommy "https://www.youtube.com/channel/UCPtWGnX3cr6fLLB1AAohynw", #Mirima "https://www.youtube.com/channel/UCPMhsGX1A6aPmpFPRWJUkag", #Sinon "https://www.youtube.com/channel/UCo4c1M2_6IlWjsGy4m_3GSQ", #Nightcore Zodiac "https://www.youtube.com/channel/UCdu0ncYJ0MZGl4bnNqi7_oQ" #Bunny-Chan ] A_downloadVids.downloadChannels(channelList) B_processDownloads.processDownloads() C_FixMissedDownloads.FixMissingDownloads() C_FixMissedDownloads.removeFoldersWithNoOriginals() C_FixMissedDownloads.possiblyTooLong() if __name__ == "__main__": run()

38.206897

81

0.799639

import A_downloadVids import B_processDownloads import C_FixMissedDownloads def run(): channelList = [ "https://www.youtube.com/channel/UC_OTXxqZn1F0vtqiCLRDEmQ", "https://www.youtube.com/channel/UCtY3IhWM6UOlMBoUG-cNQyQ", "https://www.youtube.com/channel/UCNOymlVIxfFW0mVmZiNq6DA", "https://www.youtube.com/channel/UCgf41dj34t-zhBD9L2WPwyQ", "https://www.youtube.com/channel/UCjlKUwbB8RXqK1vKOqWxiHg", "https://www.youtube.com/channel/UCnwu06NdREQjWprJC8fvRWw", "https://www.youtube.com/channel/UCPtWGnX3cr6fLLB1AAohynw", "https://www.youtube.com/channel/UCPMhsGX1A6aPmpFPRWJUkag", "https://www.youtube.com/channel/UCo4c1M2_6IlWjsGy4m_3GSQ", "https://www.youtube.com/channel/UCdu0ncYJ0MZGl4bnNqi7_oQ" ] A_downloadVids.downloadChannels(channelList) B_processDownloads.processDownloads() C_FixMissedDownloads.FixMissingDownloads() C_FixMissedDownloads.removeFoldersWithNoOriginals() C_FixMissedDownloads.possiblyTooLong() if __name__ == "__main__": run()

true

f7fc170cadbcc7a0367d48c7fcb6ff9f0ec19833

3,650

py

Python

Mozc-for-iOS/src/gui/character_pad/data/gen_local_character_map.py

spanfish/JapaneseKeyboard

84fa7ef799d145fb9897b6e86bc7bc50610ccb2b

[ "Apache-2.0" ]

33

2015-01-21T09:50:21.000Z

2022-02-12T15:18:25.000Z

Mozc-for-iOS/src/gui/character_pad/data/gen_local_character_map.py

spanfish/JapaneseKeyboard

84fa7ef799d145fb9897b6e86bc7bc50610ccb2b

[ "Apache-2.0" ]

1

2019-03-08T08:07:14.000Z

Mozc-for-iOS/src/gui/character_pad/data/gen_local_character_map.py

spanfish/JapaneseKeyboard

84fa7ef799d145fb9897b6e86bc7bc50610ccb2b

[ "Apache-2.0" ]

8

2015-06-08T15:57:25.000Z

2019-05-15T08:52:58.000Z

# -*- coding: utf-8 -*- # Copyright 2010-2014, Google Inc. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following disclaimer # in the documentation and/or other materials provided with the # distribution. # * Neither the name of Google Inc. nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. __author__ = "taku" import string import re import sys kUnicodePat = re.compile(r'[0-9A-Fa-f]{2,4}') def IsValidUnicode(n): return kUnicodePat.match(n) def LoadJISX0201(filename): fh = open(filename) result = [] for line in fh.readlines(): if line[0] is '#': continue array = string.split(line) jis = array[0].replace('0x', '') ucs2 = array[1].replace('0x', '') if len(jis) == 2: jis = "00" + jis if IsValidUnicode(ucs2): result.append([jis, ucs2]) return ["JISX0201", result] def LoadJISX0208(filename): fh = open(filename) result = [] for line in fh.readlines(): if line[0] is '#': continue array = line.split() jis = array[1].replace('0x', '') ucs2 = array[2].replace('0x', '') if IsValidUnicode(ucs2): result.append([jis, ucs2]) return ["JISX0208", result] def LoadJISX0212(filename): fh = open(filename) result = [] for line in fh.readlines(): if line[0] is '#': continue array = line.split() jis = array[0].replace('0x', '') ucs2 = array[1].replace('0x', '') if IsValidUnicode(ucs2): result.append([jis, ucs2]) return ["JISX0212", result] def LoadCP932(filename): fh = open(filename) result = [] for line in fh.readlines(): if line[0] is '#': continue array = line.split() sjis = array[0].replace('0x', '') ucs2 = array[1].replace('0x', '') if int(sjis, 16) < 32: continue if len(sjis) == 2: sjis = "00" + sjis if IsValidUnicode(ucs2): result.append([sjis, ucs2]) return ["CP932", result] def Output(arg): name = arg[0] result = arg[1] print "static const size_t k%sMapSize = %d;" % (name, len(result)) print "static const mozc::gui::CharacterPalette::LocalCharacterMap k%sMap[] = {" % (name) for n in result: print " { 0x%s, 0x%s }," % (n[0] ,n[1]) print " { 0, 0 }"; print "};" print "" if __name__ == "__main__": Output(LoadJISX0201(sys.argv[1])) Output(LoadJISX0208(sys.argv[2])) Output(LoadJISX0212(sys.argv[3])) Output(LoadCP932(sys.argv[4]))

29.918033

91

0.670137

__author__ = "taku" import string import re import sys kUnicodePat = re.compile(r'[0-9A-Fa-f]{2,4}') def IsValidUnicode(n): return kUnicodePat.match(n) def LoadJISX0201(filename): fh = open(filename) result = [] for line in fh.readlines(): if line[0] is '#': continue array = string.split(line) jis = array[0].replace('0x', '') ucs2 = array[1].replace('0x', '') if len(jis) == 2: jis = "00" + jis if IsValidUnicode(ucs2): result.append([jis, ucs2]) return ["JISX0201", result] def LoadJISX0208(filename): fh = open(filename) result = [] for line in fh.readlines(): if line[0] is '#': continue array = line.split() jis = array[1].replace('0x', '') ucs2 = array[2].replace('0x', '') if IsValidUnicode(ucs2): result.append([jis, ucs2]) return ["JISX0208", result] def LoadJISX0212(filename): fh = open(filename) result = [] for line in fh.readlines(): if line[0] is '#': continue array = line.split() jis = array[0].replace('0x', '') ucs2 = array[1].replace('0x', '') if IsValidUnicode(ucs2): result.append([jis, ucs2]) return ["JISX0212", result] def LoadCP932(filename): fh = open(filename) result = [] for line in fh.readlines(): if line[0] is '#': continue array = line.split() sjis = array[0].replace('0x', '') ucs2 = array[1].replace('0x', '') if int(sjis, 16) < 32: continue if len(sjis) == 2: sjis = "00" + sjis if IsValidUnicode(ucs2): result.append([sjis, ucs2]) return ["CP932", result] def Output(arg): name = arg[0] result = arg[1] print "static const size_t k%sMapSize = %d;" % (name, len(result)) print "static const mozc::gui::CharacterPalette::LocalCharacterMap k%sMap[] = {" % (name) for n in result: print " { 0x%s, 0x%s }," % (n[0] ,n[1]) print " { 0, 0 }"; print "};" print "" if __name__ == "__main__": Output(LoadJISX0201(sys.argv[1])) Output(LoadJISX0208(sys.argv[2])) Output(LoadJISX0212(sys.argv[3])) Output(LoadCP932(sys.argv[4]))

false

true

f7fc1745008f87de882dc0cb70bb1747508193a7

236

py

Python

src/my_lib/torch/dataset.py

akirasosa/BCAI_kaggle_CHAMPS

40de9f2360a1709561f0157c9abcc4dd989aaf8c

[ "MIT" ]

null

src/my_lib/torch/dataset.py

akirasosa/BCAI_kaggle_CHAMPS

40de9f2360a1709561f0157c9abcc4dd989aaf8c

[ "MIT" ]

null

src/my_lib/torch/dataset.py

akirasosa/BCAI_kaggle_CHAMPS

40de9f2360a1709561f0157c9abcc4dd989aaf8c

[ "MIT" ]

null

from torch.utils.data import Dataset class PandasDataset(Dataset): def __init__(self, df): self.df = df def __len__(self): return len(self.df) def __getitem__(self, idx): return self.df.iloc[idx]

18.153846

36

0.635593

from torch.utils.data import Dataset class PandasDataset(Dataset): def __init__(self, df): self.df = df def __len__(self): return len(self.df) def __getitem__(self, idx): return self.df.iloc[idx]

true

f7fc196372b52eb848e13e225826a55d80a2d009

2,095

py

Python

archivos/colecciones.py

lecovi/reveal.js

60bfdea623d326bcd9b52fe82135667a704c79f5

[ "MIT" ]

null

archivos/colecciones.py

lecovi/reveal.js

60bfdea623d326bcd9b52fe82135667a704c79f5

[ "MIT" ]

null

archivos/colecciones.py

lecovi/reveal.js

60bfdea623d326bcd9b52fe82135667a704c79f5

[ "MIT" ]

1

2021-03-03T12:22:04.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- ## LISTAS [] ## se podría asociar a lo que en otros lenguajes es un array. ## Puede contener cualquier tipo de datos: números, cadenas, ## booleanos ... y también otras listas. lista = ["Leandro", "Colombo Viña", 32, ["Curso Python", 1]] print("LISTAS") print("="*30) print("Viendo el contenido de la lista {}".format(lista)) print("Consultando el primer elemento de la lista: {}".format(lista[0])) print("Consultando el último elemento de la lista: {}".format(lista[-1])) print("\ty dentro de ese, el segundo: {}".format(lista[-1][1])) print("-"*15) print("Cambiando el contenido del primer elemento de la lista...") lista[0] = "Leandro E.") print("Viendo el contenido de la lista {}".format(lista)) print("="*30) ## TUPLAS () ## similar a las listas. ## Se construyen con ,. ## Son inmutables. tupla = ("Leandro", "Colombo Viña", 32, ["Curso Python", 1]) print("TUPLAS") print("="*30) print("Viendo el contenido de la tupla {}".format(tupla)) print("Consultando el primer elemento de la tupla: {}".format(tupla[0])) print("Consultando el último elemento de la tupla: {}".format(tupla[-1])) print("\ty dentro de ese, el segundo: {}".format(tupla[-1][1])) print("-"*15) print("No se puede cambiar el contenido de la tupla!") ## Descomentar la línea siguiente y ejecutar, se puede observar como tira error. #tupla[0] = "Leandro E." print("="*30) ## DICCIONARIOS {} ## guardan llave - valor. ## No tienen orden! diccionario = {'nombre': "Leandro", "apellido": 'Colombo Viña', 'edad': 32} print("DICCIONARIOS") print("="*30) print("Viendo el contenido del diccionario {}".format(diccionario)) print("Consultando el elemento \'nombre\': {}".format(diccionario['nombre'])) print("Consultando el elemento \'edad\': {}".format(diccionario['edad'])) print("-"*15) print("Cambiando un valor en el diccionario") ## Descomentar la línea siguiente y ejecutar, se puede observar como tira error. diccionario['edad'] = 25 print("Consultando el elemento \'edad\': {}".format(diccionario['edad'])) print("="*30)

38.796296

81

0.666348

do el primer elemento de la lista: {}".format(lista[0])) print("Consultando el último elemento de la lista: {}".format(lista[-1])) print("\ty dentro de ese, el segundo: {}".format(lista[-1][1])) print("-"*15) print("Cambiando el contenido del primer elemento de la lista...") lista[0] = "Leandro E.") print("Viendo el contenido de la lista {}".format(lista)) print("="*30) PLAS") print("="*30) print("Viendo el contenido de la tupla {}".format(tupla)) print("Consultando el primer elemento de la tupla: {}".format(tupla[0])) print("Consultando el último elemento de la tupla: {}".format(tupla[-1])) print("\ty dentro de ese, el segundo: {}".format(tupla[-1][1])) print("-"*15) print("No se puede cambiar el contenido de la tupla!") ("Viendo el contenido del diccionario {}".format(diccionario)) print("Consultando el elemento \'nombre\': {}".format(diccionario['nombre'])) print("Consultando el elemento \'edad\': {}".format(diccionario['edad'])) print("-"*15) print("Cambiando un valor en el diccionario") iccionario['edad'])) print("="*30)

false

true

f7fc1c533f8170f1cba8c51c3583a3541c48dd51

516

py

Python

main/migrations/0004_auto_20201229_1727.py

AlimardanAhmadov/accounting

4be0b2d3506313d2c02074017abcdcfba075690c

[ "MIT" ]

null

main/migrations/0004_auto_20201229_1727.py

AlimardanAhmadov/accounting

4be0b2d3506313d2c02074017abcdcfba075690c

[ "MIT" ]

null

main/migrations/0004_auto_20201229_1727.py

AlimardanAhmadov/accounting

4be0b2d3506313d2c02074017abcdcfba075690c

[ "MIT" ]

null

# Generated by Django 3.1.4 on 2020-12-29 13:27 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('main', '0003_auto_20201228_2211'), ] operations = [ migrations.AlterField( model_name='bankcalculation', name='related_card', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='main.card', verbose_name='Operations'), ), ]

25.8

135

0.655039

from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('main', '0003_auto_20201228_2211'), ] operations = [ migrations.AlterField( model_name='bankcalculation', name='related_card', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='main.card', verbose_name='Operations'), ), ]

true

f7fc1cfaf4551cd4af0d31e8d54ee5ea09d5936b

9,043

py

Python

platformio/platformio-build.py

faydr/mbed-os-qmesh

596d10dbc4550fa9ff0f63307c45e9d1fa319eee

[ "Apache-2.0" ]

4

2018-05-06T01:58:32.000Z

2022-03-25T00:51:51.000Z

platformio/platformio-build.py

faydr/mbed-os-qmesh

596d10dbc4550fa9ff0f63307c45e9d1fa319eee

[ "Apache-2.0" ]

27

2016-12-18T15:17:44.000Z

2021-12-15T20:43:36.000Z

platformio/platformio-build.py

faydr/mbed-os-qmesh

596d10dbc4550fa9ff0f63307c45e9d1fa319eee

[ "Apache-2.0" ]

19

2016-06-15T17:38:28.000Z

2021-11-08T05:22:12.000Z

# Copyright 2019-present PlatformIO <contact@platformio.org> # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import hashlib import sys import shutil import os import warnings from SCons.Script import COMMAND_LINE_TARGETS, DefaultEnvironment from platformio import fs from platformio import util from platformio.compat import WINDOWS, hashlib_encode_data env = DefaultEnvironment() platform = env.PioPlatform() board = env.BoardConfig() FRAMEWORK_DIR = platform.get_package_dir("framework-mbed") assert os.path.isdir(FRAMEWORK_DIR) # Be sure that the packages and tool as paths are in the search path warnings.simplefilter("ignore") sys.path.insert( 0, os.path.join( FRAMEWORK_DIR, "platformio", "package_deps", "py%d" % sys.version_info.major ), ) sys.path.insert(1, FRAMEWORK_DIR) from pio_mbed_adapter import PlatformioMbedAdapter # Long paths Windows hook if WINDOWS: from ctypes import create_unicode_buffer, windll, wintypes _GetShortPathNameW = windll.kernel32.GetShortPathNameW _GetShortPathNameW.argtypes = [wintypes.LPCWSTR, wintypes.LPWSTR, wintypes.DWORD] _GetShortPathNameW.restype = wintypes.DWORD def shorten_path(path): if not WINDOWS: return path output_buf_size = 0 while True: output_buf = create_unicode_buffer(output_buf_size) needed = _GetShortPathNameW(path, output_buf, output_buf_size) if output_buf_size >= needed: return output_buf.value else: output_buf_size = needed def get_mbed_target(board_type): variants_remap = util.load_json( os.path.join(FRAMEWORK_DIR, "platformio", "variants_remap.json") ) variant = ( variants_remap[board_type] if board_type in variants_remap else board_type.upper() ) return board.get("build.mbed_variant", variant) def get_build_profile(cpp_defines): if "MBED_BUILD_PROFILE_RELEASE" in cpp_defines: return "release" elif "MBED_BUILD_PROFILE_DEBUG" in cpp_defines: return "debug" else: return "develop" def _file_long_data(env, data): tmp_file = os.path.join( "$BUILD_DIR", "longinc-%s" % hashlib.md5(hashlib_encode_data(data)).hexdigest() ) build_dir = env.subst("$BUILD_DIR") if not os.path.isdir(build_dir): os.makedirs(build_dir) if os.path.isfile(env.subst(tmp_file)): return tmp_file with open(env.subst(tmp_file), "w") as fp: fp.write(data) return tmp_file def long_incflags_hook(incflags): return '@"%s"' % _file_long_data( env, "\n".join(fs.to_unix_path(f) if WINDOWS else f for f in incflags) ) def get_inc_flags(): inc_paths = [ os.path.join(FRAMEWORK_DIR, d) for d in configuration.get("inc_dirs") if not os.path.isabs(d) ] if "idedata" in COMMAND_LINE_TARGETS: return {"CPPPATH": inc_paths} # Framework adds a great number of include paths which requires # significant amount of time for SCons to scan for changes in CPPPATH. # Since files in framework most likely won't change, the # paths are added directly to CCFLAGS with "-iwithprefixbefore" flag to # reduce the length of compile command framework_path = shorten_path(FRAMEWORK_DIR) if WINDOWS else FRAMEWORK_DIR if WINDOWS: inc_paths = [shorten_path(p) for p in inc_paths] flags = ["-iprefix", framework_path] + [ long_incflags_hook( [ "-iwithprefixbefore" + inc.replace(framework_path, "") for inc in inc_paths ] ) ] return {"CCFLAGS": flags} # # Print warnings about deprecated flags # cpp_defines = env.Flatten(env.get("CPPDEFINES", [])) for f in ("PIO_FRAMEWORK_MBED_FILESYSTEM_PRESENT", "PIO_FRAMEWORK_MBED_EVENTS_PRESENT"): if f in cpp_defines: print( "Warning! %s option " "is now obsolete. Please use mbed_app.json configuration file " "and/or a standalone library!" % f ) src_folders = [ "cmsis", "connectivity", "drivers", "events", "features", "hal", "platform", "rtos", "storage", "targets", ] if not os.path.isdir(env.subst("$BUILD_DIR")): os.makedirs(env.subst("$BUILD_DIR")) app_config = os.path.join(env.subst("$PROJECT_DIR"), "mbed_app.json") if not os.path.isfile(app_config): app_config = None build_profile = get_build_profile(cpp_defines) framework_processor = PlatformioMbedAdapter( [os.path.join(FRAMEWORK_DIR, f) for f in src_folders], env.subst("$BUILD_DIR"), get_mbed_target(env.subst("$BOARD")), FRAMEWORK_DIR, app_config, build_profile, env.subst("$PROJECT_DIR"), ) try: print("Collecting mbed sources...") configuration = framework_processor.extract_project_info(generate_config=True) except Exception as exc: sys.stderr.write("mbed build API internal error\n") print(exc) env.Exit(1) env.Replace(AS="$CC", ASCOM="$ASPPCOM") for scope in ("asm", "c", "cxx"): if "-c" in configuration.get("build_flags").get(scope, []): configuration.get("build_flags").get(scope).remove("-c") env.AppendUnique( ASFLAGS=configuration.get("build_flags").get("asm"), CFLAGS=configuration.get("build_flags").get("c"), CCFLAGS=["-includembed_config.h"] + configuration.get("build_flags").get("common"), CPPDEFINES=configuration.get("build_symbols"), CPPPATH=[FRAMEWORK_DIR, "$BUILD_DIR", "$PROJECTSRC_DIR"], CXXFLAGS=configuration.get("build_flags").get("cxx"), LINKFLAGS=configuration.get("build_flags").get("ld"), LIBS=configuration.get("libs") + configuration.get("syslibs"), ) # Note: this line should be called before appending CCFLAGS to ASFLAGS env.Append(**get_inc_flags()) env.Append( ASFLAGS=env.get("CCFLAGS", [])[:], LIBPATH=[ p if os.path.isabs(p) else os.path.join(FRAMEWORK_DIR, p) for p in configuration.get("lib_paths") ], LIBS=["c", "gcc"], # Fixes linker issues in some cases ) if "nordicnrf5" in env.get("PIOPLATFORM"): has_soft_device = len(configuration.get("hex")) > 0 if has_soft_device: softdevice_hex_path = os.path.join(FRAMEWORK_DIR, configuration.get("hex")[0]) if os.path.isfile(softdevice_hex_path): env.Append(SOFTDEVICEHEX=softdevice_hex_path) else: print( "Warning! Cannot find softdevice binary. " "Firmware will be linked without it!" ) # # Linker requires preprocessing with link flags # if not board.get("build.ldscript", ""): ldscript = os.path.join(FRAMEWORK_DIR, configuration.get("ldscript", [])[0] or "") if board.get("build.mbed.ldscript", ""): ldscript = env.subst(board.get("build.mbed.ldscript")) if os.path.isfile(ldscript): linker_script = env.Command( os.path.join( "$BUILD_DIR", "%s.link_script.ld" % os.path.basename(ldscript) ), ldscript, env.VerboseAction( "%s -E -P $LINKFLAGS $SOURCE -o $TARGET" % env.subst("$GDB").replace("-gdb", "-cpp"), "Generating LD script $TARGET", ), ) env.Depends("$BUILD_DIR/$PROGNAME$PROGSUFFIX", linker_script) env.Replace(LDSCRIPT_PATH=linker_script) else: print("Warning! Couldn't find linker script file!") # # Compile core part # lib_sources = dict() for f in configuration.get("src_files"): lib_name = f.split(os.path.sep)[0] if lib_name not in lib_sources: lib_sources[lib_name] = ["-<*>"] lib_sources[lib_name].append("+<%s>" % "/".join(f.split(os.path.sep)[1:])) for lib_name, src_filter in lib_sources.items(): env.BuildSources( os.path.join("$BUILD_DIR", "FrameworkMbed" + lib_name), os.path.join(FRAMEWORK_DIR, lib_name), src_filter=src_filter, ) # # mbed has its own independent merge process # def merge_firmwares(target, source, env): framework_processor.merge_apps(env.subst(source)[0], env.subst(target)[0]) # some boards (e.g. nrf51 modify the resulting firmware) if framework_processor.has_target_hook(): firmware_file = env.subst(os.path.join("$BUILD_DIR", "${PROGNAME}.hex")) if not os.path.isfile(firmware_file): shutil.copyfile(env.subst(source)[0], firmware_file) framework_processor.apply_hook( env.subst(os.path.join("$BUILD_DIR/$PROGNAME$PROGSUFFIX")), firmware_file )

30.244147

88

0.66792

import hashlib import sys import shutil import os import warnings from SCons.Script import COMMAND_LINE_TARGETS, DefaultEnvironment from platformio import fs from platformio import util from platformio.compat import WINDOWS, hashlib_encode_data env = DefaultEnvironment() platform = env.PioPlatform() board = env.BoardConfig() FRAMEWORK_DIR = platform.get_package_dir("framework-mbed") assert os.path.isdir(FRAMEWORK_DIR) warnings.simplefilter("ignore") sys.path.insert( 0, os.path.join( FRAMEWORK_DIR, "platformio", "package_deps", "py%d" % sys.version_info.major ), ) sys.path.insert(1, FRAMEWORK_DIR) from pio_mbed_adapter import PlatformioMbedAdapter if WINDOWS: from ctypes import create_unicode_buffer, windll, wintypes _GetShortPathNameW = windll.kernel32.GetShortPathNameW _GetShortPathNameW.argtypes = [wintypes.LPCWSTR, wintypes.LPWSTR, wintypes.DWORD] _GetShortPathNameW.restype = wintypes.DWORD def shorten_path(path): if not WINDOWS: return path output_buf_size = 0 while True: output_buf = create_unicode_buffer(output_buf_size) needed = _GetShortPathNameW(path, output_buf, output_buf_size) if output_buf_size >= needed: return output_buf.value else: output_buf_size = needed def get_mbed_target(board_type): variants_remap = util.load_json( os.path.join(FRAMEWORK_DIR, "platformio", "variants_remap.json") ) variant = ( variants_remap[board_type] if board_type in variants_remap else board_type.upper() ) return board.get("build.mbed_variant", variant) def get_build_profile(cpp_defines): if "MBED_BUILD_PROFILE_RELEASE" in cpp_defines: return "release" elif "MBED_BUILD_PROFILE_DEBUG" in cpp_defines: return "debug" else: return "develop" def _file_long_data(env, data): tmp_file = os.path.join( "$BUILD_DIR", "longinc-%s" % hashlib.md5(hashlib_encode_data(data)).hexdigest() ) build_dir = env.subst("$BUILD_DIR") if not os.path.isdir(build_dir): os.makedirs(build_dir) if os.path.isfile(env.subst(tmp_file)): return tmp_file with open(env.subst(tmp_file), "w") as fp: fp.write(data) return tmp_file def long_incflags_hook(incflags): return '@"%s"' % _file_long_data( env, "\n".join(fs.to_unix_path(f) if WINDOWS else f for f in incflags) ) def get_inc_flags(): inc_paths = [ os.path.join(FRAMEWORK_DIR, d) for d in configuration.get("inc_dirs") if not os.path.isabs(d) ] if "idedata" in COMMAND_LINE_TARGETS: return {"CPPPATH": inc_paths} # paths are added directly to CCFLAGS with "-iwithprefixbefore" flag to # reduce the length of compile command framework_path = shorten_path(FRAMEWORK_DIR) if WINDOWS else FRAMEWORK_DIR if WINDOWS: inc_paths = [shorten_path(p) for p in inc_paths] flags = ["-iprefix", framework_path] + [ long_incflags_hook( [ "-iwithprefixbefore" + inc.replace(framework_path, "") for inc in inc_paths ] ) ] return {"CCFLAGS": flags} # # Print warnings about deprecated flags # cpp_defines = env.Flatten(env.get("CPPDEFINES", [])) for f in ("PIO_FRAMEWORK_MBED_FILESYSTEM_PRESENT", "PIO_FRAMEWORK_MBED_EVENTS_PRESENT"): if f in cpp_defines: print( "Warning! %s option " "is now obsolete. Please use mbed_app.json configuration file " "and/or a standalone library!" % f ) src_folders = [ "cmsis", "connectivity", "drivers", "events", "features", "hal", "platform", "rtos", "storage", "targets", ] if not os.path.isdir(env.subst("$BUILD_DIR")): os.makedirs(env.subst("$BUILD_DIR")) app_config = os.path.join(env.subst("$PROJECT_DIR"), "mbed_app.json") if not os.path.isfile(app_config): app_config = None build_profile = get_build_profile(cpp_defines) framework_processor = PlatformioMbedAdapter( [os.path.join(FRAMEWORK_DIR, f) for f in src_folders], env.subst("$BUILD_DIR"), get_mbed_target(env.subst("$BOARD")), FRAMEWORK_DIR, app_config, build_profile, env.subst("$PROJECT_DIR"), ) try: print("Collecting mbed sources...") configuration = framework_processor.extract_project_info(generate_config=True) except Exception as exc: sys.stderr.write("mbed build API internal error\n") print(exc) env.Exit(1) env.Replace(AS="$CC", ASCOM="$ASPPCOM") for scope in ("asm", "c", "cxx"): if "-c" in configuration.get("build_flags").get(scope, []): configuration.get("build_flags").get(scope).remove("-c") env.AppendUnique( ASFLAGS=configuration.get("build_flags").get("asm"), CFLAGS=configuration.get("build_flags").get("c"), CCFLAGS=["-includembed_config.h"] + configuration.get("build_flags").get("common"), CPPDEFINES=configuration.get("build_symbols"), CPPPATH=[FRAMEWORK_DIR, "$BUILD_DIR", "$PROJECTSRC_DIR"], CXXFLAGS=configuration.get("build_flags").get("cxx"), LINKFLAGS=configuration.get("build_flags").get("ld"), LIBS=configuration.get("libs") + configuration.get("syslibs"), ) # Note: this line should be called before appending CCFLAGS to ASFLAGS env.Append(**get_inc_flags()) env.Append( ASFLAGS=env.get("CCFLAGS", [])[:], LIBPATH=[ p if os.path.isabs(p) else os.path.join(FRAMEWORK_DIR, p) for p in configuration.get("lib_paths") ], LIBS=["c", "gcc"], # Fixes linker issues in some cases ) if "nordicnrf5" in env.get("PIOPLATFORM"): has_soft_device = len(configuration.get("hex")) > 0 if has_soft_device: softdevice_hex_path = os.path.join(FRAMEWORK_DIR, configuration.get("hex")[0]) if os.path.isfile(softdevice_hex_path): env.Append(SOFTDEVICEHEX=softdevice_hex_path) else: print( "Warning! Cannot find softdevice binary. " "Firmware will be linked without it!" ) # # Linker requires preprocessing with link flags # if not board.get("build.ldscript", ""): ldscript = os.path.join(FRAMEWORK_DIR, configuration.get("ldscript", [])[0] or "") if board.get("build.mbed.ldscript", ""): ldscript = env.subst(board.get("build.mbed.ldscript")) if os.path.isfile(ldscript): linker_script = env.Command( os.path.join( "$BUILD_DIR", "%s.link_script.ld" % os.path.basename(ldscript) ), ldscript, env.VerboseAction( "%s -E -P $LINKFLAGS $SOURCE -o $TARGET" % env.subst("$GDB").replace("-gdb", "-cpp"), "Generating LD script $TARGET", ), ) env.Depends("$BUILD_DIR/$PROGNAME$PROGSUFFIX", linker_script) env.Replace(LDSCRIPT_PATH=linker_script) else: print("Warning! Couldn't find linker script file!") lib_sources = dict() for f in configuration.get("src_files"): lib_name = f.split(os.path.sep)[0] if lib_name not in lib_sources: lib_sources[lib_name] = ["-<*>"] lib_sources[lib_name].append("+<%s>" % "/".join(f.split(os.path.sep)[1:])) for lib_name, src_filter in lib_sources.items(): env.BuildSources( os.path.join("$BUILD_DIR", "FrameworkMbed" + lib_name), os.path.join(FRAMEWORK_DIR, lib_name), src_filter=src_filter, ) def merge_firmwares(target, source, env): framework_processor.merge_apps(env.subst(source)[0], env.subst(target)[0]) if framework_processor.has_target_hook(): firmware_file = env.subst(os.path.join("$BUILD_DIR", "${PROGNAME}.hex")) if not os.path.isfile(firmware_file): shutil.copyfile(env.subst(source)[0], firmware_file) framework_processor.apply_hook( env.subst(os.path.join("$BUILD_DIR/$PROGNAME$PROGSUFFIX")), firmware_file )

true

f7fc1d610341078497b9b650a4fd2011b1fd2145

5,138

py

Python

tractags/db.py

idevat/trac-tags-plugin

51577d2deb3016b9b89c18d5f9dd2ca0fecf57f6

[ "MIT" ]

null

tractags/db.py

idevat/trac-tags-plugin

51577d2deb3016b9b89c18d5f9dd2ca0fecf57f6

[ "MIT" ]

null

tractags/db.py

idevat/trac-tags-plugin

51577d2deb3016b9b89c18d5f9dd2ca0fecf57f6

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Copyright (C) 2012 Steffen Hoffmann <hoff.st@web.de> # # This software is licensed as described in the file COPYING, which # you should have received as part of this distribution. from trac.core import Component, TracError, implements from trac.db.api import DatabaseManager from trac.env import IEnvironmentSetupParticipant from tractags import db_default from tractags.api import _ from tractags.ticket import TicketTagProvider class TagSetup(Component): """Plugin setup and upgrade handler.""" implements(IEnvironmentSetupParticipant) # IEnvironmentSetupParticipant methods def environment_created(self): pass def environment_needs_upgrade(self, db): schema_ver = self.get_schema_version(db) if schema_ver == db_default.schema_version: return False elif schema_ver > db_default.schema_version: raise TracError(_("A newer plugin version has been installed " "before, but downgrading is unsupported.")) self.log.info("TracTags database schema version is %d, should be %d" % (schema_ver, db_default.schema_version)) return True def upgrade_environment(self, db): """Each schema version should have its own upgrade module, named upgrades/dbN.py, where 'N' is the version number (int). """ db_mgr = DatabaseManager(self.env) schema_ver = self.get_schema_version(db) cursor = db.cursor() # Is this a new installation? if not schema_ver: # Perform a single-step install: Create plugin schema and # insert default data into the database. connector = db_mgr._get_connector()[0] for table in db_default.schema: for stmt in connector.to_sql(table): cursor.execute(stmt) for table, cols, vals in db_default.get_data(db): cursor.executemany("INSERT INTO %s (%s) VALUES (%s)" % (table, ','.join(cols), ','.join(['%s' for c in cols])), vals) else: # Perform incremental upgrades. for i in range(schema_ver + 1, db_default.schema_version + 1): name = 'db%i' % i try: upgrades = __import__('tractags.upgrades', globals(), locals(), [name]) script = getattr(upgrades, name) except AttributeError: raise TracError(_("No upgrade module for version %(num)i " "(%(version)s.py)", num=i, version=name)) script.do_upgrade(self.env, i, cursor) cursor.execute(""" UPDATE system SET value=%s WHERE name='tags_version' """, (db_default.schema_version,)) self.log.info("Upgraded TracTags db schema from version %d to %d" % (schema_ver, db_default.schema_version)) TicketTagProvider(self.env)._fetch_tkt_tags(db) self.log.info("Synchronized ticket attributes to tags table") db.commit() # Internal methods def get_schema_version(self, db=None): """Return the current schema version for this plugin.""" if not db: db = self.env.get_db_cnx() cursor = db.cursor() cursor.execute(""" SELECT value FROM system WHERE name='tags_version' """) row = cursor.fetchone() if not (row and int(row[0]) > 2): # Care for pre-tags-0.7 installations. dburi = self.config.get('trac', 'database') tables = self._get_tables(dburi, cursor) if 'tags' in tables: self.env.log.debug("TracTags needs to register schema version") return 2 if 'wiki_namespace' in tables: self.env.log.debug("TracTags needs to migrate old data") return 1 # This is a new installation. return 0 # The expected outcome for any up-to-date installation. return row and int(row[0]) or 0 def _get_tables(self, dburi, cursor): """Code from TracMigratePlugin by Jun Omae (see tracmigrate.admin).""" if dburi.startswith('sqlite:'): sql = """ SELECT name FROM sqlite_master WHERE type='table' AND NOT name='sqlite_sequence' """ elif dburi.startswith('postgres:'): sql = """ SELECT tablename FROM pg_tables WHERE schemaname = ANY (current_schemas(false)) """ elif dburi.startswith('mysql:'): sql = "SHOW TABLES" else: raise TracError('Unsupported database type "%s"' % dburi.split(':')[0]) cursor.execute(sql) return sorted([row[0] for row in cursor])

38.343284

79

0.561697

from trac.core import Component, TracError, implements from trac.db.api import DatabaseManager from trac.env import IEnvironmentSetupParticipant from tractags import db_default from tractags.api import _ from tractags.ticket import TicketTagProvider class TagSetup(Component): implements(IEnvironmentSetupParticipant) def environment_created(self): pass def environment_needs_upgrade(self, db): schema_ver = self.get_schema_version(db) if schema_ver == db_default.schema_version: return False elif schema_ver > db_default.schema_version: raise TracError(_("A newer plugin version has been installed " "before, but downgrading is unsupported.")) self.log.info("TracTags database schema version is %d, should be %d" % (schema_ver, db_default.schema_version)) return True def upgrade_environment(self, db): db_mgr = DatabaseManager(self.env) schema_ver = self.get_schema_version(db) cursor = db.cursor() if not schema_ver: connector = db_mgr._get_connector()[0] for table in db_default.schema: for stmt in connector.to_sql(table): cursor.execute(stmt) for table, cols, vals in db_default.get_data(db): cursor.executemany("INSERT INTO %s (%s) VALUES (%s)" % (table, ','.join(cols), ','.join(['%s' for c in cols])), vals) else: for i in range(schema_ver + 1, db_default.schema_version + 1): name = 'db%i' % i try: upgrades = __import__('tractags.upgrades', globals(), locals(), [name]) script = getattr(upgrades, name) except AttributeError: raise TracError(_("No upgrade module for version %(num)i " "(%(version)s.py)", num=i, version=name)) script.do_upgrade(self.env, i, cursor) cursor.execute(""" UPDATE system SET value=%s WHERE name='tags_version' """, (db_default.schema_version,)) self.log.info("Upgraded TracTags db schema from version %d to %d" % (schema_ver, db_default.schema_version)) TicketTagProvider(self.env)._fetch_tkt_tags(db) self.log.info("Synchronized ticket attributes to tags table") db.commit() def get_schema_version(self, db=None): if not db: db = self.env.get_db_cnx() cursor = db.cursor() cursor.execute(""" SELECT value FROM system WHERE name='tags_version' """) row = cursor.fetchone() if not (row and int(row[0]) > 2): dburi = self.config.get('trac', 'database') tables = self._get_tables(dburi, cursor) if 'tags' in tables: self.env.log.debug("TracTags needs to register schema version") return 2 if 'wiki_namespace' in tables: self.env.log.debug("TracTags needs to migrate old data") return 1 return 0 return row and int(row[0]) or 0 def _get_tables(self, dburi, cursor): if dburi.startswith('sqlite:'): sql = """ SELECT name FROM sqlite_master WHERE type='table' AND NOT name='sqlite_sequence' """ elif dburi.startswith('postgres:'): sql = """ SELECT tablename FROM pg_tables WHERE schemaname = ANY (current_schemas(false)) """ elif dburi.startswith('mysql:'): sql = "SHOW TABLES" else: raise TracError('Unsupported database type "%s"' % dburi.split(':')[0]) cursor.execute(sql) return sorted([row[0] for row in cursor])

true

f7fc1da67a5b05f9079190ed6a693b37b0358b02

6,860

py

Python

backprop/tasks/emotion.py

lucky7323/backprop

4daa756f3a46600d4dfa0631bb3607237df1fed6

[ "Apache-2.0" ]

null

backprop/tasks/emotion.py

lucky7323/backprop

4daa756f3a46600d4dfa0631bb3607237df1fed6

[ "Apache-2.0" ]

null

backprop/tasks/emotion.py

lucky7323/backprop

4daa756f3a46600d4dfa0631bb3607237df1fed6

[ "Apache-2.0" ]

null

from typing import List, Tuple, Union, Dict from .base import Task from backprop.models import BaseModel, AutoModel from transformers.optimization import Adafactor from backprop.utils.datasets import TextToTextDataset import requests TASK = "emotion" DEFAULT_LOCAL_MODEL = "t5-base-qa-summary-emotion" LOCAL_ALIASES = { "enlgish": "t5-base-qa-summary-emotion" } class Emotion(Task): """ Task for emotion detection. Attributes: model: 1. Model name 2. Model name on Backprop's emotion endpoint 3. Model object that implements the emotion task local (optional): Run locally. Defaults to False api_key (optional): Backprop API key for non-local inference device (optional): Device to run inference on. Defaults to "cuda" if available. """ def __init__(self, model: Union[str, BaseModel] = None, local: bool = False, api_key: str = None, device: str = None): models = AutoModel.list_models(task=TASK) super().__init__(model, local=local, api_key=api_key, device=device, models=models, task=TASK, default_local_model=DEFAULT_LOCAL_MODEL, local_aliases=LOCAL_ALIASES) @staticmethod def list_models(return_dict=False, display=False, limit=None): """ Returns the list of models that can be used and finetuned with this task. Args: return_dict: Default False. True if you want to return in dict form. Otherwise returns list form. display: Default False. True if you want output printed directly (overrides return_dict, and returns nothing). limit: Default None. Maximum number of models to return -- leave None to get all models. """ return AutoModel.list_models(task=TASK, return_dict=return_dict, display=display, limit=limit, aliases=LOCAL_ALIASES) def __call__(self, text: Union[str, List[str]]): """Perform emotion detection on input text. Args: text: string or list of strings to detect emotion from keep this under a few sentences for best performance. Returns: Emotion string or list of emotion strings. """ task_input = { "text": text } if self.local: return self.model(task_input, task="emotion") else: task_input["model"] = self.model res = requests.post("https://api.backprop.co/emotion", json=task_input, headers={"x-api-key": self.api_key}).json() if res.get("message"): raise Exception(f"Failed to make API request: {res['message']}") return res["emotion"] def step(self, batch, batch_idx): """ Performs a training step and returns loss. Args: batch: Batch output from the dataloader batch_idx: Batch index. """ return self.model.training_step(batch) def configure_optimizers(self): """ Returns default optimizer for text generation (AdaFactor, learning rate 1e-3) """ return Adafactor(params=self.model.parameters(), lr=1e-3, scale_parameter=False, relative_step=False) def finetune(self, params, validation_split: Union[float, Tuple[List[int], List[int]]]=0.15, max_input_length: int=256, max_output_length: int=32, epochs: int=20, batch_size: int=None, optimal_batch_size: int=None, early_stopping_epochs: int=1, train_dataloader=None, val_dataloader=None, step=None, configure_optimizers=None): """ Finetunes a generative model for sentiment detection. Note: input_text and output_text in params must have matching ordering (item 1 of input must match item 1 of output) Args: params: Dictionary of model inputs. Contains 'input_text' and 'output_text' keys, with values as lists of input/output data. max_input_length: Maximum number of tokens (1 token ~ 1 word) in input. Anything higher will be truncated. Max 512. max_output_length: Maximum number of tokens (1 token ~ 1 word) in output. Anything higher will be truncated. Max 512. validation_split: Float between 0 and 1 that determines what percentage of the data to use for validation. epochs: Integer specifying how many training iterations to run. batch_size: Batch size when training. Leave as None to automatically determine batch size. optimal_batch_size: Optimal batch size for the model being trained -- defaults to model settings. early_stopping_epochs: Integer determining how many epochs will run before stopping without an improvement in validation loss. train_dataloader: Dataloader for providing training data when finetuning. Defaults to inbuilt dataloder. val_dataloader: Dataloader for providing validation data when finetuning. Defaults to inbuilt dataloader. step: Function determining how to call model for a training step. Defaults to step defined in this task class. configure_optimizers: Function that sets up the optimizer for training. Defaults to optimizer defined in this task class. Examples:: import backprop emote = backprop.Emotion() # Provide sentiment data for training inp = ["I really liked the service I received!", "Meh, it was not impressive."] out = ["positive", "negative"] params = {"input_text": inp, "output_text": out} # Finetune emote.finetune(params) """ inputs = params["input_text"] outputs = params["output_text"] assert len(inputs) == len(outputs) step = step or self.step configure_optimizers = configure_optimizers or self.configure_optimizers dataset_params = { "input": inputs, "output": outputs, "max_input_length": max_input_length, "max_output_length": max_output_length } print("Processing data...") dataset = TextToTextDataset(dataset_params, task=TASK, process_batch=self.model.process_batch, length=len(inputs)) super().finetune(dataset=dataset, validation_split=validation_split, epochs=epochs, batch_size=batch_size, optimal_batch_size=optimal_batch_size, early_stopping_epochs=early_stopping_epochs, train_dataloader=train_dataloader, val_dataloader=val_dataloader, step=step, configure_optimizers=configure_optimizers)

44.545455

138

0.640962

from typing import List, Tuple, Union, Dict from .base import Task from backprop.models import BaseModel, AutoModel from transformers.optimization import Adafactor from backprop.utils.datasets import TextToTextDataset import requests TASK = "emotion" DEFAULT_LOCAL_MODEL = "t5-base-qa-summary-emotion" LOCAL_ALIASES = { "enlgish": "t5-base-qa-summary-emotion" } class Emotion(Task): def __init__(self, model: Union[str, BaseModel] = None, local: bool = False, api_key: str = None, device: str = None): models = AutoModel.list_models(task=TASK) super().__init__(model, local=local, api_key=api_key, device=device, models=models, task=TASK, default_local_model=DEFAULT_LOCAL_MODEL, local_aliases=LOCAL_ALIASES) @staticmethod def list_models(return_dict=False, display=False, limit=None): return AutoModel.list_models(task=TASK, return_dict=return_dict, display=display, limit=limit, aliases=LOCAL_ALIASES) def __call__(self, text: Union[str, List[str]]): task_input = { "text": text } if self.local: return self.model(task_input, task="emotion") else: task_input["model"] = self.model res = requests.post("https://api.backprop.co/emotion", json=task_input, headers={"x-api-key": self.api_key}).json() if res.get("message"): raise Exception(f"Failed to make API request: {res['message']}") return res["emotion"] def step(self, batch, batch_idx): return self.model.training_step(batch) def configure_optimizers(self): return Adafactor(params=self.model.parameters(), lr=1e-3, scale_parameter=False, relative_step=False) def finetune(self, params, validation_split: Union[float, Tuple[List[int], List[int]]]=0.15, max_input_length: int=256, max_output_length: int=32, epochs: int=20, batch_size: int=None, optimal_batch_size: int=None, early_stopping_epochs: int=1, train_dataloader=None, val_dataloader=None, step=None, configure_optimizers=None): inputs = params["input_text"] outputs = params["output_text"] assert len(inputs) == len(outputs) step = step or self.step configure_optimizers = configure_optimizers or self.configure_optimizers dataset_params = { "input": inputs, "output": outputs, "max_input_length": max_input_length, "max_output_length": max_output_length } print("Processing data...") dataset = TextToTextDataset(dataset_params, task=TASK, process_batch=self.model.process_batch, length=len(inputs)) super().finetune(dataset=dataset, validation_split=validation_split, epochs=epochs, batch_size=batch_size, optimal_batch_size=optimal_batch_size, early_stopping_epochs=early_stopping_epochs, train_dataloader=train_dataloader, val_dataloader=val_dataloader, step=step, configure_optimizers=configure_optimizers)

true

f7fc1dcd22e245d765d16ad1a240fbf0c1a1c9d8

8,351

py

Python

thirdparty/blender_autocomplete-master/2.82/bpy/ops/armature.py

Ray1184/HPMSBatch

3852710e7366361cb9e90f471ddccbbce5ffe8ee

[ "MIT" ]

null

thirdparty/blender_autocomplete-master/2.82/bpy/ops/armature.py

Ray1184/HPMSBatch

3852710e7366361cb9e90f471ddccbbce5ffe8ee

[ "MIT" ]

null

thirdparty/blender_autocomplete-master/2.82/bpy/ops/armature.py

Ray1184/HPMSBatch

3852710e7366361cb9e90f471ddccbbce5ffe8ee

[ "MIT" ]

null

import sys import typing def align(): '''Align selected bones to the active bone (or to their parent) ''' pass def armature_layers( layers: bool = (False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): '''Change the visible armature layers :param layers: Layer, Armature layers to make visible :type layers: bool ''' pass def autoside_names(type: typing.Union[str, int] = 'XAXIS'): '''Automatically renames the selected bones according to which side of the target axis they fall on :param type: Axis, Axis tag names withXAXIS X-Axis, Left/Right.YAXIS Y-Axis, Front/Back.ZAXIS Z-Axis, Top/Bottom. :type type: typing.Union[str, int] ''' pass def bone_layers( layers: bool = (False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): '''Change the layers that the selected bones belong to :param layers: Layer, Armature layers that bone belongs to :type layers: bool ''' pass def bone_primitive_add(name: str = "Bone"): '''Add a new bone located at the 3D-Cursor :param name: Name, Name of the newly created bone :type name: str ''' pass def calculate_roll(type: typing.Union[str, int] = 'POS_X', axis_flip: bool = False, axis_only: bool = False): '''Automatically fix alignment of select bones’ axes :param type: Type :type type: typing.Union[str, int] :param axis_flip: Flip Axis, Negate the alignment axis :type axis_flip: bool :param axis_only: Shortest Rotation, Ignore the axis direction, use the shortest rotation to align :type axis_only: bool ''' pass def click_extrude(): '''Create a new bone going from the last selected joint to the mouse position ''' pass def delete(): '''Remove selected bones from the armature ''' pass def dissolve(): '''Dissolve selected bones from the armature ''' pass def duplicate(do_flip_names: bool = False): '''Make copies of the selected bones within the same armature :param do_flip_names: Flip Names, Try to flip names of the bones, if possible, instead of adding a number extension :type do_flip_names: bool ''' pass def duplicate_move(ARMATURE_OT_duplicate=None, TRANSFORM_OT_translate=None): '''Make copies of the selected bones within the same armature and move them :param ARMATURE_OT_duplicate: Duplicate Selected Bone(s), Make copies of the selected bones within the same armature :param TRANSFORM_OT_translate: Move, Move selected items ''' pass def extrude(forked: bool = False): '''Create new bones from the selected joints :param forked: Forked :type forked: bool ''' pass def extrude_forked(ARMATURE_OT_extrude=None, TRANSFORM_OT_translate=None): '''Create new bones from the selected joints and move them :param ARMATURE_OT_extrude: Extrude, Create new bones from the selected joints :param TRANSFORM_OT_translate: Move, Move selected items ''' pass def extrude_move(ARMATURE_OT_extrude=None, TRANSFORM_OT_translate=None): '''Create new bones from the selected joints and move them :param ARMATURE_OT_extrude: Extrude, Create new bones from the selected joints :param TRANSFORM_OT_translate: Move, Move selected items ''' pass def fill(): '''Add bone between selected joint(s) and/or 3D-Cursor ''' pass def flip_names(do_strip_numbers: bool = False): '''Flips (and corrects) the axis suffixes of the names of selected bones :param do_strip_numbers: Strip Numbers, Try to remove right-most dot-number from flipped names (WARNING: may result in incoherent naming in some cases) :type do_strip_numbers: bool ''' pass def hide(unselected: bool = False): '''Tag selected bones to not be visible in Edit Mode :param unselected: Unselected, Hide unselected rather than selected :type unselected: bool ''' pass def layers_show_all(all: bool = True): '''Make all armature layers visible :param all: All Layers, Enable all layers or just the first 16 (top row) :type all: bool ''' pass def merge(type: typing.Union[str, int] = 'WITHIN_CHAIN'): '''Merge continuous chains of selected bones :param type: Type :type type: typing.Union[str, int] ''' pass def parent_clear(type: typing.Union[str, int] = 'CLEAR'): '''Remove the parent-child relationship between selected bones and their parents :param type: ClearType, What way to clear parenting :type type: typing.Union[str, int] ''' pass def parent_set(type: typing.Union[str, int] = 'CONNECTED'): '''Set the active bone as the parent of the selected bones :param type: ParentType, Type of parenting :type type: typing.Union[str, int] ''' pass def reveal(select: bool = True): '''Reveal all bones hidden in Edit Mode :param select: Select :type select: bool ''' pass def roll_clear(roll: float = 0.0): '''Clear roll for selected bones :param roll: Roll :type roll: float ''' pass def select_all(action: typing.Union[str, int] = 'TOGGLE'): '''Toggle selection status of all bones :param action: Action, Selection action to executeTOGGLE Toggle, Toggle selection for all elements.SELECT Select, Select all elements.DESELECT Deselect, Deselect all elements.INVERT Invert, Invert selection of all elements. :type action: typing.Union[str, int] ''' pass def select_hierarchy(direction: typing.Union[str, int] = 'PARENT', extend: bool = False): '''Select immediate parent/children of selected bones :param direction: Direction :type direction: typing.Union[str, int] :param extend: Extend, Extend the selection :type extend: bool ''' pass def select_less(): '''Deselect those bones at the boundary of each selection region ''' pass def select_linked(deselect: bool = False): '''Select bones related to selected ones by parent/child relationships :param deselect: Deselect :type deselect: bool ''' pass def select_mirror(only_active: bool = False, extend: bool = False): '''Mirror the bone selection :param only_active: Active Only, Only operate on the active bone :type only_active: bool :param extend: Extend, Extend the selection :type extend: bool ''' pass def select_more(): '''Select those bones connected to the initial selection ''' pass def select_similar(type: typing.Union[str, int] = 'LENGTH', threshold: float = 0.1): '''Select similar bones by property types :param type: Type :type type: typing.Union[str, int] :param threshold: Threshold :type threshold: float ''' pass def separate(): '''Isolate selected bones into a separate armature ''' pass def shortest_path_pick(): '''Select shortest path between two bones ''' pass def split(): '''Split off selected bones from connected unselected bones ''' pass def subdivide(number_cuts: int = 1): '''Break selected bones into chains of smaller bones :param number_cuts: Number of Cuts :type number_cuts: int ''' pass def switch_direction(): '''Change the direction that a chain of bones points in (head <-> tail swap) ''' pass def symmetrize(direction: typing.Union[str, int] = 'NEGATIVE_X'): '''Enforce symmetry, make copies of the selection or use existing :param direction: Direction, Which sides to copy from and to (when both are selected) :type direction: typing.Union[str, int] ''' pass

22.879452

228

0.651419

import sys import typing def align(): pass def armature_layers( layers: bool = (False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): pass def autoside_names(type: typing.Union[str, int] = 'XAXIS'): pass def bone_layers( layers: bool = (False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): pass def bone_primitive_add(name: str = "Bone"): pass def calculate_roll(type: typing.Union[str, int] = 'POS_X', axis_flip: bool = False, axis_only: bool = False): pass def click_extrude(): pass def delete(): pass def dissolve(): pass def duplicate(do_flip_names: bool = False): pass def duplicate_move(ARMATURE_OT_duplicate=None, TRANSFORM_OT_translate=None): pass def extrude(forked: bool = False): pass def extrude_forked(ARMATURE_OT_extrude=None, TRANSFORM_OT_translate=None): pass def extrude_move(ARMATURE_OT_extrude=None, TRANSFORM_OT_translate=None): pass def fill(): pass def flip_names(do_strip_numbers: bool = False): pass def hide(unselected: bool = False): pass def layers_show_all(all: bool = True): pass def merge(type: typing.Union[str, int] = 'WITHIN_CHAIN'): pass def parent_clear(type: typing.Union[str, int] = 'CLEAR'): pass def parent_set(type: typing.Union[str, int] = 'CONNECTED'): pass def reveal(select: bool = True): pass def roll_clear(roll: float = 0.0): pass def select_all(action: typing.Union[str, int] = 'TOGGLE'): pass def select_hierarchy(direction: typing.Union[str, int] = 'PARENT', extend: bool = False): pass def select_less(): pass def select_linked(deselect: bool = False): pass def select_mirror(only_active: bool = False, extend: bool = False): pass def select_more(): pass def select_similar(type: typing.Union[str, int] = 'LENGTH', threshold: float = 0.1): pass def separate(): pass def shortest_path_pick(): pass def split(): pass def subdivide(number_cuts: int = 1): pass def switch_direction(): pass def symmetrize(direction: typing.Union[str, int] = 'NEGATIVE_X'): pass

true

f7fc1dd7bdf0ceda2a55bcae0f914f4dc33080df

1,849

py

Python

tests/test_annotateblock.py

ercpe/jinja2-extensions

e13fd2692fb08303c3a58020628429bae14a1e2c

[ "MIT" ]

null

tests/test_annotateblock.py

ercpe/jinja2-extensions

e13fd2692fb08303c3a58020628429bae14a1e2c

[ "MIT" ]

null

tests/test_annotateblock.py

ercpe/jinja2-extensions

e13fd2692fb08303c3a58020628429bae14a1e2c

[ "MIT" ]

null

from jinja2 import Environment class TestAnnotateBlockExtension(object): def _render(self, template_string, **vars): env = Environment(extensions=['j2exts.annotateblock']) tmpl = env.from_string(template_string) return tmpl.render(**vars) def test_empty_body(self): output = self._render("""{% annotateblock 'Some text here' %}{% endannotateblock %}""") assert output == "" output = self._render("""{% annotateblock 'Some text here' %}\n\n{% endannotateblock %}""") assert output == "\n\n" output = self._render("""{% annotateblock 'Some text here' %}\n \n{% endannotateblock %}""") assert output == "\n \n" def test_empty_header(self): output = self._render("""{% annotateblock '' %}body text{% endannotateblock %}""") assert output == "body text" def test_add_annotation(self): output = self._render("""{% annotateblock 'Some text here' %}some body{% endannotateblock %}""") assert output == "Some text here\nsome body" def test_add_annotation_with_spaces(self): output = self._render("""{% annotateblock 'Some text here' %} some indented body{% endannotateblock %}""") assert output == " Some text here\n some indented body" def test_annotate_with_vars(self): output = self._render("""{% with prefix="# header line" %}{% annotateblock prefix %}some other text{% endannotateblock %}{%endwith%}""") assert output == "# header line\nsome other text" def test_annotate_with_expression(self): output = self._render("""{% with %}{% set prefix %}# foo is {{foo}}{% endset %}{% annotateblock prefix %}some other text{% endannotateblock %}{%endwith%}""", foo='bar') assert output == "# foo is bar\nsome other text"

46.225

176

0.617631

from jinja2 import Environment class TestAnnotateBlockExtension(object): def _render(self, template_string, **vars): env = Environment(extensions=['j2exts.annotateblock']) tmpl = env.from_string(template_string) return tmpl.render(**vars) def test_empty_body(self): output = self._render("""{% annotateblock 'Some text here' %}{% endannotateblock %}""") assert output == "" output = self._render("""{% annotateblock 'Some text here' %}\n\n{% endannotateblock %}""") assert output == "\n\n" output = self._render("""{% annotateblock 'Some text here' %}\n \n{% endannotateblock %}""") assert output == "\n \n" def test_empty_header(self): output = self._render("""{% annotateblock '' %}body text{% endannotateblock %}""") assert output == "body text" def test_add_annotation(self): output = self._render("""{% annotateblock 'Some text here' %}some body{% endannotateblock %}""") assert output == "Some text here\nsome body" def test_add_annotation_with_spaces(self): output = self._render("""{% annotateblock 'Some text here' %} some indented body{% endannotateblock %}""") assert output == " Some text here\n some indented body" def test_annotate_with_vars(self): output = self._render("""{% with prefix="# header line" %}{% annotateblock prefix %}some other text{% endannotateblock %}{%endwith%}""") assert output == "# header line\nsome other text" def test_annotate_with_expression(self): output = self._render("""{% with %}{% set prefix %}# foo is {{foo}}{% endset %}{% annotateblock prefix %}some other text{% endannotateblock %}{%endwith%}""", foo='bar') assert output == "# foo is bar\nsome other text"

true

f7fc1e63bcdabec13036ac337b9fb2d7dc95185f

978

py

Python

reproducible-dvc/studentpredictor/create_features.py

martin-fabbri/ml-pipelines

62d512752d68448168493c30b00baf9318db14e8

[ "Apache-2.0" ]

1

2022-02-21T06:44:44.000Z

reproducible-dvc/studentpredictor/create_features.py

martin-fabbri/ml-pipelines

62d512752d68448168493c30b00baf9318db14e8

[ "Apache-2.0" ]

1

2021-06-02T04:08:37.000Z

reproducible-dvc/studentpredictor/create_features.py

martin-fabbri/e2e-ml-pipelines

62d512752d68448168493c30b00baf9318db14e8

[ "Apache-2.0" ]

null

from datetime import date import pandas as pd from config import Config Config.FEATURES_PATH.mkdir(parents=True, exist_ok=True) train_df = pd.read_csv(str(Config.DATASET_PATH / "train.csv")) test_df = pd.read_csv(str(Config.DATASET_PATH / "test.csv")) def extract_features(df): df["published_timestamp"] = pd.to_datetime(df.published_timestamp).dt.date df["days_since_published"] = (date.today() - df.published_timestamp).dt.days return df[["num_lectures", "price", "days_since_published", "content_duration"]] train_features = extract_features(train_df) test_features = extract_features(test_df) train_features.to_csv(str(Config.FEATURES_PATH / "train_features.csv"), index=None) test_features.to_csv(str(Config.FEATURES_PATH / "test_features.csv"), index=None) train_df.num_subscribers.to_csv( str(Config.FEATURES_PATH / "train_labels.csv"), index=None ) test_df.num_subscribers.to_csv( str(Config.FEATURES_PATH / "test_labels.csv"), index=None )

32.6

84

0.773006

from datetime import date import pandas as pd from config import Config Config.FEATURES_PATH.mkdir(parents=True, exist_ok=True) train_df = pd.read_csv(str(Config.DATASET_PATH / "train.csv")) test_df = pd.read_csv(str(Config.DATASET_PATH / "test.csv")) def extract_features(df): df["published_timestamp"] = pd.to_datetime(df.published_timestamp).dt.date df["days_since_published"] = (date.today() - df.published_timestamp).dt.days return df[["num_lectures", "price", "days_since_published", "content_duration"]] train_features = extract_features(train_df) test_features = extract_features(test_df) train_features.to_csv(str(Config.FEATURES_PATH / "train_features.csv"), index=None) test_features.to_csv(str(Config.FEATURES_PATH / "test_features.csv"), index=None) train_df.num_subscribers.to_csv( str(Config.FEATURES_PATH / "train_labels.csv"), index=None ) test_df.num_subscribers.to_csv( str(Config.FEATURES_PATH / "test_labels.csv"), index=None )

true

f7fc1eb529891ef526c327ae52470d6d6f36729c

8,487

py

Python

unittests/tools/test_nessus_parser.py

santos0santos0/django-DefectDojo

d55fb295e3eae8167af320c545445b2098422737

[ "BSD-3-Clause" ]

null

unittests/tools/test_nessus_parser.py

santos0santos0/django-DefectDojo

d55fb295e3eae8167af320c545445b2098422737

[ "BSD-3-Clause" ]

null

unittests/tools/test_nessus_parser.py

santos0santos0/django-DefectDojo

d55fb295e3eae8167af320c545445b2098422737

[ "BSD-3-Clause" ]

null

from os import path from ..dojo_test_case import DojoTestCase from dojo.tools.nessus.parser import NessusXMLParser, NessusCSVParser, NessusParser from dojo.models import Finding, Test, Engagement, Product class TestNessusParser(DojoTestCase): def create_test(self): test = Test() test.engagement = Engagement() test.engagement.product = Product() return test def test_parse_some_findings(self): testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln.xml")) parser = NessusXMLParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(6, len(findings)) finding = findings[5] self.assertEqual("Info", finding.severity) self.assertIsNone(finding.cwe) endpoint = finding.unsaved_endpoints[0] self.assertEqual("https", endpoint.protocol) endpoint = finding.unsaved_endpoints[1] self.assertEqual("tcp", endpoint.protocol) def test_parse_some_findings_csv(self): """Test one report provided by a user""" testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln.csv")) parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(4, len(findings)) for i in [0, 1, 2, 3]: finding = findings[i] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Medium", finding.severity) self.assertEqual(0, finding.cwe) # check some data finding = findings[0] self.assertEqual(1, len(finding.unsaved_endpoints)) self.assertEqual("10.1.1.1", finding.unsaved_endpoints[0].host) self.assertEqual("AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N/E:P/RL:O/RC:C", finding.cvssv3) # TODO work on component attributes for Nessus CSV parser self.assertIsNotNone(finding.component_name) self.assertEqual("md5", finding.component_name) self.assertEqual(1, len(finding.unsaved_vulnerability_ids)) self.assertEqual("CVE-2004-2761", finding.unsaved_vulnerability_ids[0]) # this vuln have 'CVE-2013-2566,CVE-2015-2808' as CVE finding = findings[3] self.assertEqual(2, len(finding.unsaved_vulnerability_ids)) self.assertEqual("CVE-2013-2566", finding.unsaved_vulnerability_ids[0]) self.assertEqual("CVE-2015-2808", finding.unsaved_vulnerability_ids[1]) def test_parse_some_findings_csv2(self): """Test that use default columns of Nessus Pro 8.13.1 (#257)""" testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-default.csv")) parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(29, len(findings)) finding = findings[0] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Info", finding.severity) self.assertIsNone(finding.cve) self.assertEqual(0, finding.cwe) self.assertEqual("HTTP Server Type and Version", finding.title) finding = findings[25] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("SSL Certificate Signed Using Weak Hashing Algorithm (Known CA)", finding.title) self.assertEqual("Info", finding.severity) self.assertEqual(1, len(finding.unsaved_vulnerability_ids)) self.assertEqual("CVE-2004-2761", finding.unsaved_vulnerability_ids[0]) def test_parse_some_findings_csv2_all(self): """Test that use a report with all columns of Nessus Pro 8.13.1 (#257)""" testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-all.csv")) parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(29, len(findings)) finding = findings[0] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Info", finding.severity) self.assertIsNone(finding.cve) self.assertEqual(0, finding.cwe) self.assertEqual("HTTP Server Type and Version", finding.title) finding = findings[25] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("SSL Certificate Signed Using Weak Hashing Algorithm (Known CA)", finding.title) self.assertEqual("Info", finding.severity) self.assertEqual(1, len(finding.unsaved_vulnerability_ids)) self.assertEqual("CVE-2004-2761", finding.unsaved_vulnerability_ids[0]) def test_parse_some_findings_csv_bytes(self): """This tests is designed to test the parser with different read modes""" testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-all.csv")) parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-all.csv"), "rt") parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-all.csv"), "rb") parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() def test_parse_some_findings_samples(self): """Test that come from samples repo""" testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_v_unknown.xml")) parser = NessusParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(32, len(findings)) finding = findings[0] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Info", finding.severity) self.assertFalse(finding.unsaved_vulnerability_ids) self.assertEqual("Nessus Scan Information", finding.title) finding = findings[25] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Nessus SYN scanner", finding.title) self.assertEqual("Info", finding.severity) self.assertFalse(finding.unsaved_vulnerability_ids) endpoint = finding.unsaved_endpoints[26] self.assertEqual("http", endpoint.protocol) endpoint = finding.unsaved_endpoints[37] self.assertEqual("tcp", endpoint.protocol) finding = findings[9] self.assertEqual(7, len(finding.unsaved_vulnerability_ids)) for vulnerability_id in finding.unsaved_vulnerability_ids: self.assertEqual('CVE-2005-1794', vulnerability_id) def test_parse_some_findings_with_cvssv3(self): """test with cvssv3""" testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_with_cvssv3.nessus")) parser = NessusXMLParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(48, len(findings)) finding = findings[3] self.assertEqual("Medium", finding.severity) self.assertIsNone(finding.cwe) print(finding.unsaved_endpoints) endpoint = finding.unsaved_endpoints[0] self.assertEqual("http", endpoint.protocol) self.assertEqual("CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", finding.cvssv3)

49.343023

109

0.671498

from os import path from ..dojo_test_case import DojoTestCase from dojo.tools.nessus.parser import NessusXMLParser, NessusCSVParser, NessusParser from dojo.models import Finding, Test, Engagement, Product class TestNessusParser(DojoTestCase): def create_test(self): test = Test() test.engagement = Engagement() test.engagement.product = Product() return test def test_parse_some_findings(self): testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln.xml")) parser = NessusXMLParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(6, len(findings)) finding = findings[5] self.assertEqual("Info", finding.severity) self.assertIsNone(finding.cwe) endpoint = finding.unsaved_endpoints[0] self.assertEqual("https", endpoint.protocol) endpoint = finding.unsaved_endpoints[1] self.assertEqual("tcp", endpoint.protocol) def test_parse_some_findings_csv(self): testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln.csv")) parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(4, len(findings)) for i in [0, 1, 2, 3]: finding = findings[i] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Medium", finding.severity) self.assertEqual(0, finding.cwe) finding = findings[0] self.assertEqual(1, len(finding.unsaved_endpoints)) self.assertEqual("10.1.1.1", finding.unsaved_endpoints[0].host) self.assertEqual("AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N/E:P/RL:O/RC:C", finding.cvssv3) self.assertIsNotNone(finding.component_name) self.assertEqual("md5", finding.component_name) self.assertEqual(1, len(finding.unsaved_vulnerability_ids)) self.assertEqual("CVE-2004-2761", finding.unsaved_vulnerability_ids[0]) finding = findings[3] self.assertEqual(2, len(finding.unsaved_vulnerability_ids)) self.assertEqual("CVE-2013-2566", finding.unsaved_vulnerability_ids[0]) self.assertEqual("CVE-2015-2808", finding.unsaved_vulnerability_ids[1]) def test_parse_some_findings_csv2(self): testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-default.csv")) parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(29, len(findings)) finding = findings[0] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Info", finding.severity) self.assertIsNone(finding.cve) self.assertEqual(0, finding.cwe) self.assertEqual("HTTP Server Type and Version", finding.title) finding = findings[25] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("SSL Certificate Signed Using Weak Hashing Algorithm (Known CA)", finding.title) self.assertEqual("Info", finding.severity) self.assertEqual(1, len(finding.unsaved_vulnerability_ids)) self.assertEqual("CVE-2004-2761", finding.unsaved_vulnerability_ids[0]) def test_parse_some_findings_csv2_all(self): testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-all.csv")) parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(29, len(findings)) finding = findings[0] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Info", finding.severity) self.assertIsNone(finding.cve) self.assertEqual(0, finding.cwe) self.assertEqual("HTTP Server Type and Version", finding.title) finding = findings[25] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("SSL Certificate Signed Using Weak Hashing Algorithm (Known CA)", finding.title) self.assertEqual("Info", finding.severity) self.assertEqual(1, len(finding.unsaved_vulnerability_ids)) self.assertEqual("CVE-2004-2761", finding.unsaved_vulnerability_ids[0]) def test_parse_some_findings_csv_bytes(self): testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-all.csv")) parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-all.csv"), "rt") parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_many_vuln2-all.csv"), "rb") parser = NessusCSVParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() def test_parse_some_findings_samples(self): testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_v_unknown.xml")) parser = NessusParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(32, len(findings)) finding = findings[0] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Info", finding.severity) self.assertFalse(finding.unsaved_vulnerability_ids) self.assertEqual("Nessus Scan Information", finding.title) finding = findings[25] self.assertIn(finding.severity, Finding.SEVERITIES) self.assertEqual("Nessus SYN scanner", finding.title) self.assertEqual("Info", finding.severity) self.assertFalse(finding.unsaved_vulnerability_ids) endpoint = finding.unsaved_endpoints[26] self.assertEqual("http", endpoint.protocol) endpoint = finding.unsaved_endpoints[37] self.assertEqual("tcp", endpoint.protocol) finding = findings[9] self.assertEqual(7, len(finding.unsaved_vulnerability_ids)) for vulnerability_id in finding.unsaved_vulnerability_ids: self.assertEqual('CVE-2005-1794', vulnerability_id) def test_parse_some_findings_with_cvssv3(self): testfile = open(path.join(path.dirname(__file__), "../scans/nessus/nessus_with_cvssv3.nessus")) parser = NessusXMLParser() findings = parser.get_findings(testfile, self.create_test()) for finding in findings: for endpoint in finding.unsaved_endpoints: endpoint.clean() self.assertEqual(48, len(findings)) finding = findings[3] self.assertEqual("Medium", finding.severity) self.assertIsNone(finding.cwe) print(finding.unsaved_endpoints) endpoint = finding.unsaved_endpoints[0] self.assertEqual("http", endpoint.protocol) self.assertEqual("CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N", finding.cvssv3)

true

f7fc1ec1904471bd710f3b5b5f694b0519d799fb

1,291

py

Python

jim/scripts/bot.py

markzz/jim

0944c9a35e1adfa51519cbe488ee1f8976d490ba

[ "0BSD" ]

1

2018-03-22T23:40:17.000Z

jim/scripts/bot.py

FUN-GINEERS/jim

0944c9a35e1adfa51519cbe488ee1f8976d490ba

[ "0BSD" ]

4

2018-03-20T15:55:34.000Z

2019-12-17T17:58:09.000Z

jim/scripts/bot.py

markzz/jim

0944c9a35e1adfa51519cbe488ee1f8976d490ba

[ "0BSD" ]

2

2018-03-21T02:48:42.000Z

2019-10-22T14:16:53.000Z

import discord import jim.config as config from jim import registrations from jim.util import util client = discord.Client() @client.event async def on_ready(): print('Logged in as %s (%s)' % (client.user.name, client.user.id,)) registrations.register_cmds() registrations.register_patterns() # @client.event # async def on_member_update(_, after): # await twitch.notify(client, after) @client.event async def on_message(message): if (message.guild is not None and message.author == message.guild.me) or len(message.content) < 1: return if util.is_command(message): print("%s sent command %s" % (message.author.name, message.content,)) if util.check_permissions(message): response = await util.run_command(client, message) if util.send_to_pm(message): await message.author.send(response) else: await message.channel.send(response) else: await message.channel.send("You do not have permission to use this command.") res = await util.check_patterns(client, message) if res is not None: await message.channel.send(res) def main(): client.run(config.config_get("general", "user_token")) if __name__ == "__main__": main()

26.346939

102

0.664601

import discord import jim.config as config from jim import registrations from jim.util import util client = discord.Client() @client.event async def on_ready(): print('Logged in as %s (%s)' % (client.user.name, client.user.id,)) registrations.register_cmds() registrations.register_patterns() @client.event async def on_message(message): if (message.guild is not None and message.author == message.guild.me) or len(message.content) < 1: return if util.is_command(message): print("%s sent command %s" % (message.author.name, message.content,)) if util.check_permissions(message): response = await util.run_command(client, message) if util.send_to_pm(message): await message.author.send(response) else: await message.channel.send(response) else: await message.channel.send("You do not have permission to use this command.") res = await util.check_patterns(client, message) if res is not None: await message.channel.send(res) def main(): client.run(config.config_get("general", "user_token")) if __name__ == "__main__": main()

true

f7fc20ebf87a4ea0b0f661b67b4b7d2a19b71661

68,465

py

Python

mtprotoproxy.py

avlubimov/mtprotoproxy

1eaa1752986fcf2115d5627228d62a7178cdda8c

[ "MIT" ]

null

mtprotoproxy.py

avlubimov/mtprotoproxy

1eaa1752986fcf2115d5627228d62a7178cdda8c

[ "MIT" ]

null

mtprotoproxy.py

avlubimov/mtprotoproxy

1eaa1752986fcf2115d5627228d62a7178cdda8c

[ "MIT" ]

null

#!/usr/bin/env python3 import asyncio import socket import urllib.parse import urllib.request import collections import time import datetime import hmac import base64 import hashlib import random import binascii import sys import re import runpy import signal import os import stat import traceback TG_DATACENTER_PORT = 443 TG_DATACENTERS_V4 = [ "149.154.175.50", "149.154.167.51", "149.154.175.100", "149.154.167.91", "149.154.171.5" ] TG_DATACENTERS_V6 = [ "2001:b28:f23d:f001::a", "2001:67c:04e8:f002::a", "2001:b28:f23d:f003::a", "2001:67c:04e8:f004::a", "2001:b28:f23f:f005::a" ] # This list will be updated in the runtime TG_MIDDLE_PROXIES_V4 = { 1: [("149.154.175.50", 8888)], -1: [("149.154.175.50", 8888)], 2: [("149.154.162.38", 80)], -2: [("149.154.162.38", 80)], 3: [("149.154.175.100", 8888)], -3: [("149.154.175.100", 8888)], 4: [("91.108.4.136", 8888)], -4: [("149.154.165.109", 8888)], 5: [("91.108.56.181", 8888)], -5: [("91.108.56.181", 8888)] } TG_MIDDLE_PROXIES_V6 = { 1: [("2001:b28:f23d:f001::d", 8888)], -1: [("2001:b28:f23d:f001::d", 8888)], 2: [("2001:67c:04e8:f002::d", 80)], -2: [("2001:67c:04e8:f002::d", 80)], 3: [("2001:b28:f23d:f003::d", 8888)], -3: [("2001:b28:f23d:f003::d", 8888)], 4: [("2001:67c:04e8:f004::d", 8888)], -4: [("2001:67c:04e8:f004::d", 8888)], 5: [("2001:b28:f23f:f005::d", 8888)], -5: [("2001:67c:04e8:f004::d", 8888)] } PROXY_SECRET = bytes.fromhex( "c4f9faca9678e6bb48ad6c7e2ce5c0d24430645d554addeb55419e034da62721" + "d046eaab6e52ab14a95a443ecfb3463e79a05a66612adf9caeda8be9a80da698" + "6fb0a6ff387af84d88ef3a6413713e5c3377f6e1a3d47d99f5e0c56eece8f05c" + "54c490b079e31bef82ff0ee8f2b0a32756d249c5f21269816cb7061b265db212" ) SKIP_LEN = 8 PREKEY_LEN = 32 KEY_LEN = 32 IV_LEN = 16 HANDSHAKE_LEN = 64 TLS_HANDSHAKE_LEN = 1 + 2 + 2 + 512 PROTO_TAG_POS = 56 DC_IDX_POS = 60 PROTO_TAG_ABRIDGED = b"\xef\xef\xef\xef" PROTO_TAG_INTERMEDIATE = b"\xee\xee\xee\xee" PROTO_TAG_SECURE = b"\xdd\xdd\xdd\xdd" CBC_PADDING = 16 PADDING_FILLER = b"\x04\x00\x00\x00" MIN_MSG_LEN = 12 MAX_MSG_LEN = 2 ** 24 my_ip_info = {"ipv4": None, "ipv6": None} used_handshakes = collections.OrderedDict() disable_middle_proxy = False is_time_skewed = False fake_cert_len = random.randrange(1024, 4096) mask_host_cached_ip = None config = {} def init_config(): global config # we use conf_dict to protect the original config from exceptions when reloading if len(sys.argv) < 2: conf_dict = runpy.run_module("config") elif len(sys.argv) == 2: # launch with own config conf_dict = runpy.run_path(sys.argv[1]) else: # undocumented way of launching conf_dict = {} conf_dict["PORT"] = int(sys.argv[1]) secrets = sys.argv[2].split(",") conf_dict["USERS"] = {"user%d" % i: secrets[i].zfill(32) for i in range(len(secrets))} if len(sys.argv) > 3: conf_dict["AD_TAG"] = sys.argv[3] if len(sys.argv) > 4: conf_dict["TLS_DOMAIN"] = sys.argv[4] conf_dict["TLS_ONLY"] = True conf_dict["SECURE_ONLY"] = True conf_dict = {k: v for k, v in conf_dict.items() if k.isupper()} conf_dict.setdefault("PORT", 3256) conf_dict.setdefault("USERS", {"tg": "00000000000000000000000000000000"}) conf_dict["AD_TAG"] = bytes.fromhex(conf_dict.get("AD_TAG", "")) # load advanced settings # use middle proxy, necessary to show ad conf_dict.setdefault("USE_MIDDLE_PROXY", len(conf_dict["AD_TAG"]) == 16) # if IPv6 avaliable, use it by default conf_dict.setdefault("PREFER_IPV6", socket.has_ipv6) # disables tg->client trafic reencryption, faster but less secure conf_dict.setdefault("FAST_MODE", True) # doesn't allow to connect in not-secure mode conf_dict.setdefault("SECURE_ONLY", False) # allows to connect in tls mode only conf_dict.setdefault("TLS_ONLY", False) # accept incoming connections only with proxy protocol v1/v2, useful for nginx and haproxy conf_dict.setdefault("PROXY_PROTOCOL", False) # set the tls domain for the proxy, has an influence only on starting message conf_dict.setdefault("TLS_DOMAIN", "www.google.com") # enable proxying bad clients to some host conf_dict.setdefault("MASK", True) # the next host to forward bad clients conf_dict.setdefault("MASK_HOST", conf_dict["TLS_DOMAIN"]) # the next host's port to forward bad clients conf_dict.setdefault("MASK_PORT", 443) # user tcp connection limits, the mapping from name to the integer limit # one client can create many tcp connections, up to 8 conf_dict.setdefault("USER_MAX_TCP_CONNS", {}) # expiration date for users in format of day/month/year conf_dict.setdefault("USER_EXPIRATIONS", {}) for user in conf_dict["USER_EXPIRATIONS"]: expiration = datetime.datetime.strptime(conf_dict["USER_EXPIRATIONS"][user], "%d/%m/%Y") conf_dict["USER_EXPIRATIONS"][user] = expiration # the data quota for user conf_dict.setdefault("USER_DATA_QUOTA", {}) # length of used handshake randoms for active fingerprinting protection, zero to disable conf_dict.setdefault("REPLAY_CHECK_LEN", 32768) # block bad first packets to even more protect against replay-based fingerprinting conf_dict.setdefault("BLOCK_IF_FIRST_PKT_BAD", True) # delay in seconds between stats printing conf_dict.setdefault("STATS_PRINT_PERIOD", 600) # delay in seconds between middle proxy info updates conf_dict.setdefault("PROXY_INFO_UPDATE_PERIOD", 24*60*60) # delay in seconds between time getting, zero means disabled conf_dict.setdefault("GET_TIME_PERIOD", 10*60) # delay in seconds between getting the length of certificate on the mask host conf_dict.setdefault("GET_CERT_LEN_PERIOD", random.randrange(4*60*60, 6*60*60)) # max socket buffer size to the client direction, the more the faster, but more RAM hungry # can be the tuple (low, users_margin, high) for the adaptive case. If no much users, use high conf_dict.setdefault("TO_CLT_BUFSIZE", (16384, 100, 131072)) # max socket buffer size to the telegram servers direction, also can be the tuple conf_dict.setdefault("TO_TG_BUFSIZE", 65536) # keepalive period for clients in secs conf_dict.setdefault("CLIENT_KEEPALIVE", 10*60) # drop client after this timeout if the handshake fail conf_dict.setdefault("CLIENT_HANDSHAKE_TIMEOUT", random.randrange(5, 15)) # if client doesn't confirm data for this number of seconds, it is dropped conf_dict.setdefault("CLIENT_ACK_TIMEOUT", 5*60) # telegram servers connect timeout in seconds conf_dict.setdefault("TG_CONNECT_TIMEOUT", 10) # listen address for IPv4 conf_dict.setdefault("LISTEN_ADDR_IPV4", "0.0.0.0") # listen address for IPv6 conf_dict.setdefault("LISTEN_ADDR_IPV6", "::") # listen unix socket conf_dict.setdefault("LISTEN_UNIX_SOCK", "") # allow access to config by attributes config = type("config", (dict,), conf_dict)(conf_dict) def try_use_cryptography_module(): from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes from cryptography.hazmat.backends import default_backend class CryptographyEncryptorAdapter: __slots__ = ('encryptor', 'decryptor') def __init__(self, cipher): self.encryptor = cipher.encryptor() self.decryptor = cipher.decryptor() def encrypt(self, data): return self.encryptor.update(data) def decrypt(self, data): return self.decryptor.update(data) def create_aes_ctr(key, iv): iv_bytes = int.to_bytes(iv, 16, "big") cipher = Cipher(algorithms.AES(key), modes.CTR(iv_bytes), default_backend()) return CryptographyEncryptorAdapter(cipher) def create_aes_cbc(key, iv): cipher = Cipher(algorithms.AES(key), modes.CBC(iv), default_backend()) return CryptographyEncryptorAdapter(cipher) return create_aes_ctr, create_aes_cbc def try_use_pycrypto_or_pycryptodome_module(): from Crypto.Cipher import AES from Crypto.Util import Counter def create_aes_ctr(key, iv): ctr = Counter.new(128, initial_value=iv) return AES.new(key, AES.MODE_CTR, counter=ctr) def create_aes_cbc(key, iv): return AES.new(key, AES.MODE_CBC, iv) return create_aes_ctr, create_aes_cbc def use_slow_bundled_cryptography_module(): import pyaes msg = "To make the program a *lot* faster, please install cryptography module: " msg += "pip install cryptography\n" print(msg, flush=True, file=sys.stderr) class BundledEncryptorAdapter: __slots__ = ('mode', ) def __init__(self, mode): self.mode = mode def encrypt(self, data): encrypter = pyaes.Encrypter(self.mode, pyaes.PADDING_NONE) return encrypter.feed(data) + encrypter.feed() def decrypt(self, data): decrypter = pyaes.Decrypter(self.mode, pyaes.PADDING_NONE) return decrypter.feed(data) + decrypter.feed() def create_aes_ctr(key, iv): ctr = pyaes.Counter(iv) return pyaes.AESModeOfOperationCTR(key, ctr) def create_aes_cbc(key, iv): mode = pyaes.AESModeOfOperationCBC(key, iv) return BundledEncryptorAdapter(mode) return create_aes_ctr, create_aes_cbc try: create_aes_ctr, create_aes_cbc = try_use_cryptography_module() except ImportError: try: create_aes_ctr, create_aes_cbc = try_use_pycrypto_or_pycryptodome_module() except ImportError: create_aes_ctr, create_aes_cbc = use_slow_bundled_cryptography_module() def print_err(*params): print(*params, file=sys.stderr, flush=True) def init_stats(): global stats stats = {user: collections.Counter() for user in config.USERS} def update_stats(user, connects=0, curr_connects=0, octets=0, msgs=0): global stats if user not in stats: stats[user] = collections.Counter() stats[user].update(connects=connects, curr_connects=curr_connects, octets=octets, msgs=msgs) def get_curr_connects_count(): global stats all_connects = 0 for user, stat in stats.items(): all_connects += stat["curr_connects"] return all_connects def get_to_tg_bufsize(): if isinstance(config.TO_TG_BUFSIZE, int): return config.TO_TG_BUFSIZE low, margin, high = config.TO_TG_BUFSIZE return high if get_curr_connects_count() < margin else low def get_to_clt_bufsize(): if isinstance(config.TO_CLT_BUFSIZE, int): return config.TO_CLT_BUFSIZE low, margin, high = config.TO_CLT_BUFSIZE return high if get_curr_connects_count() < margin else low class MyRandom(random.Random): def __init__(self): super().__init__() key = bytes([random.randrange(256) for i in range(32)]) iv = random.randrange(256**16) self.encryptor = create_aes_ctr(key, iv) self.buffer = bytearray() def getrandbits(self, k): numbytes = (k + 7) // 8 return int.from_bytes(self.getrandbytes(numbytes), 'big') >> (numbytes * 8 - k) def getrandbytes(self, n): CHUNK_SIZE = 512 while n > len(self.buffer): data = int.to_bytes(super().getrandbits(CHUNK_SIZE*8), CHUNK_SIZE, "big") self.buffer += self.encryptor.encrypt(data) result = self.buffer[:n] self.buffer = self.buffer[n:] return bytes(result) myrandom = MyRandom() class LayeredStreamReaderBase: __slots__ = ("upstream", ) def __init__(self, upstream): self.upstream = upstream async def read(self, n): return await self.upstream.read(n) async def readexactly(self, n): return await self.upstream.readexactly(n) class LayeredStreamWriterBase: __slots__ = ("upstream", ) def __init__(self, upstream): self.upstream = upstream def write(self, data, extra={}): return self.upstream.write(data) def write_eof(self): return self.upstream.write_eof() async def drain(self): return await self.upstream.drain() def close(self): return self.upstream.close() def abort(self): return self.upstream.transport.abort() def get_extra_info(self, name): return self.upstream.get_extra_info(name) @property def transport(self): return self.upstream.transport class FakeTLSStreamReader(LayeredStreamReaderBase): __slots__ = ('buf', ) def __init__(self, upstream): self.upstream = upstream self.buf = bytearray() async def read(self, n, ignore_buf=False): if self.buf and not ignore_buf: data = self.buf self.buf = bytearray() return bytes(data) while True: tls_rec_type = await self.upstream.readexactly(1) if not tls_rec_type: return b"" if tls_rec_type not in [b"\x14", b"\x17"]: print_err("BUG: bad tls type %s in FakeTLSStreamReader" % tls_rec_type) return b"" version = await self.upstream.readexactly(2) if version != b"\x03\x03": print_err("BUG: unknown version %s in FakeTLSStreamReader" % version) return b"" data_len = int.from_bytes(await self.upstream.readexactly(2), "big") data = await self.upstream.readexactly(data_len) if tls_rec_type == b"\x14": continue return data async def readexactly(self, n): while len(self.buf) < n: tls_data = await self.read(1, ignore_buf=True) if not tls_data: return b"" self.buf += tls_data data, self.buf = self.buf[:n], self.buf[n:] return bytes(data) class FakeTLSStreamWriter(LayeredStreamWriterBase): __slots__ = () def __init__(self, upstream): self.upstream = upstream def write(self, data, extra={}): MAX_CHUNK_SIZE = 16384 + 24 for start in range(0, len(data), MAX_CHUNK_SIZE): end = min(start+MAX_CHUNK_SIZE, len(data)) self.upstream.write(b"\x17\x03\x03" + int.to_bytes(end-start, 2, "big")) self.upstream.write(data[start: end]) return len(data) class CryptoWrappedStreamReader(LayeredStreamReaderBase): __slots__ = ('decryptor', 'block_size', 'buf') def __init__(self, upstream, decryptor, block_size=1): self.upstream = upstream self.decryptor = decryptor self.block_size = block_size self.buf = bytearray() async def read(self, n): if self.buf: ret = bytes(self.buf) self.buf.clear() return ret else: data = await self.upstream.read(n) if not data: return b"" needed_till_full_block = -len(data) % self.block_size if needed_till_full_block > 0: data += self.upstream.readexactly(needed_till_full_block) return self.decryptor.decrypt(data) async def readexactly(self, n): if n > len(self.buf): to_read = n - len(self.buf) needed_till_full_block = -to_read % self.block_size to_read_block_aligned = to_read + needed_till_full_block data = await self.upstream.readexactly(to_read_block_aligned) self.buf += self.decryptor.decrypt(data) ret = bytes(self.buf[:n]) self.buf = self.buf[n:] return ret class CryptoWrappedStreamWriter(LayeredStreamWriterBase): __slots__ = ('encryptor', 'block_size') def __init__(self, upstream, encryptor, block_size=1): self.upstream = upstream self.encryptor = encryptor self.block_size = block_size def write(self, data, extra={}): if len(data) % self.block_size != 0: print_err("BUG: writing %d bytes not aligned to block size %d" % ( len(data), self.block_size)) return 0 q = self.encryptor.encrypt(data) return self.upstream.write(q) class MTProtoFrameStreamReader(LayeredStreamReaderBase): __slots__ = ('seq_no', ) def __init__(self, upstream, seq_no=0): self.upstream = upstream self.seq_no = seq_no async def read(self, buf_size): msg_len_bytes = await self.upstream.readexactly(4) msg_len = int.from_bytes(msg_len_bytes, "little") # skip paddings while msg_len == 4: msg_len_bytes = await self.upstream.readexactly(4) msg_len = int.from_bytes(msg_len_bytes, "little") len_is_bad = (msg_len % len(PADDING_FILLER) != 0) if not MIN_MSG_LEN <= msg_len <= MAX_MSG_LEN or len_is_bad: print_err("msg_len is bad, closing connection", msg_len) return b"" msg_seq_bytes = await self.upstream.readexactly(4) msg_seq = int.from_bytes(msg_seq_bytes, "little", signed=True) if msg_seq != self.seq_no: print_err("unexpected seq_no") return b"" self.seq_no += 1 data = await self.upstream.readexactly(msg_len - 4 - 4 - 4) checksum_bytes = await self.upstream.readexactly(4) checksum = int.from_bytes(checksum_bytes, "little") computed_checksum = binascii.crc32(msg_len_bytes + msg_seq_bytes + data) if computed_checksum != checksum: return b"" return data class MTProtoFrameStreamWriter(LayeredStreamWriterBase): __slots__ = ('seq_no', ) def __init__(self, upstream, seq_no=0): self.upstream = upstream self.seq_no = seq_no def write(self, msg, extra={}): len_bytes = int.to_bytes(len(msg) + 4 + 4 + 4, 4, "little") seq_bytes = int.to_bytes(self.seq_no, 4, "little", signed=True) self.seq_no += 1 msg_without_checksum = len_bytes + seq_bytes + msg checksum = int.to_bytes(binascii.crc32(msg_without_checksum), 4, "little") full_msg = msg_without_checksum + checksum padding = PADDING_FILLER * ((-len(full_msg) % CBC_PADDING) // len(PADDING_FILLER)) return self.upstream.write(full_msg + padding) class MTProtoCompactFrameStreamReader(LayeredStreamReaderBase): __slots__ = () async def read(self, buf_size): msg_len_bytes = await self.upstream.readexactly(1) msg_len = int.from_bytes(msg_len_bytes, "little") extra = {"QUICKACK_FLAG": False} if msg_len >= 0x80: extra["QUICKACK_FLAG"] = True msg_len -= 0x80 if msg_len == 0x7f: msg_len_bytes = await self.upstream.readexactly(3) msg_len = int.from_bytes(msg_len_bytes, "little") msg_len *= 4 data = await self.upstream.readexactly(msg_len) return data, extra class MTProtoCompactFrameStreamWriter(LayeredStreamWriterBase): __slots__ = () def write(self, data, extra={}): SMALL_PKT_BORDER = 0x7f LARGE_PKT_BORGER = 256 ** 3 if len(data) % 4 != 0: print_err("BUG: MTProtoFrameStreamWriter attempted to send msg with len", len(data)) return 0 if extra.get("SIMPLE_ACK"): return self.upstream.write(data[::-1]) len_div_four = len(data) // 4 if len_div_four < SMALL_PKT_BORDER: return self.upstream.write(bytes([len_div_four]) + data) elif len_div_four < LARGE_PKT_BORGER: return self.upstream.write(b'\x7f' + int.to_bytes(len_div_four, 3, 'little') + data) else: print_err("Attempted to send too large pkt len =", len(data)) return 0 class MTProtoIntermediateFrameStreamReader(LayeredStreamReaderBase): __slots__ = () async def read(self, buf_size): msg_len_bytes = await self.upstream.readexactly(4) msg_len = int.from_bytes(msg_len_bytes, "little") extra = {} if msg_len > 0x80000000: extra["QUICKACK_FLAG"] = True msg_len -= 0x80000000 data = await self.upstream.readexactly(msg_len) return data, extra class MTProtoIntermediateFrameStreamWriter(LayeredStreamWriterBase): __slots__ = () def write(self, data, extra={}): if extra.get("SIMPLE_ACK"): return self.upstream.write(data) else: return self.upstream.write(int.to_bytes(len(data), 4, 'little') + data) class MTProtoSecureIntermediateFrameStreamReader(LayeredStreamReaderBase): __slots__ = () async def read(self, buf_size): msg_len_bytes = await self.upstream.readexactly(4) msg_len = int.from_bytes(msg_len_bytes, "little") extra = {} if msg_len > 0x80000000: extra["QUICKACK_FLAG"] = True msg_len -= 0x80000000 data = await self.upstream.readexactly(msg_len) if msg_len % 4 != 0: cut_border = msg_len - (msg_len % 4) data = data[:cut_border] return data, extra class MTProtoSecureIntermediateFrameStreamWriter(LayeredStreamWriterBase): __slots__ = () def write(self, data, extra={}): MAX_PADDING_LEN = 4 if extra.get("SIMPLE_ACK"): # TODO: make this unpredictable return self.upstream.write(data) else: padding_len = myrandom.randrange(MAX_PADDING_LEN) padding = myrandom.getrandbytes(padding_len) padded_data_len_bytes = int.to_bytes(len(data) + padding_len, 4, 'little') return self.upstream.write(padded_data_len_bytes + data + padding) class ProxyReqStreamReader(LayeredStreamReaderBase): __slots__ = () async def read(self, msg): RPC_PROXY_ANS = b"\x0d\xda\x03\x44" RPC_CLOSE_EXT = b"\xa2\x34\xb6\x5e" RPC_SIMPLE_ACK = b"\x9b\x40\xac\x3b" data = await self.upstream.read(1) if len(data) < 4: return b"" ans_type = data[:4] if ans_type == RPC_CLOSE_EXT: return b"" if ans_type == RPC_PROXY_ANS: ans_flags, conn_id, conn_data = data[4:8], data[8:16], data[16:] return conn_data if ans_type == RPC_SIMPLE_ACK: conn_id, confirm = data[4:12], data[12:16] return confirm, {"SIMPLE_ACK": True} print_err("unknown rpc ans type:", ans_type) return b"" class ProxyReqStreamWriter(LayeredStreamWriterBase): __slots__ = ('remote_ip_port', 'our_ip_port', 'out_conn_id', 'proto_tag') def __init__(self, upstream, cl_ip, cl_port, my_ip, my_port, proto_tag): self.upstream = upstream if ":" not in cl_ip: self.remote_ip_port = b"\x00" * 10 + b"\xff\xff" self.remote_ip_port += socket.inet_pton(socket.AF_INET, cl_ip) else: self.remote_ip_port = socket.inet_pton(socket.AF_INET6, cl_ip) self.remote_ip_port += int.to_bytes(int(cl_port), 4, "little") if ":" not in my_ip: self.our_ip_port = b"\x00" * 10 + b"\xff\xff" self.our_ip_port += socket.inet_pton(socket.AF_INET, my_ip) else: self.our_ip_port = socket.inet_pton(socket.AF_INET6, my_ip) self.our_ip_port += int.to_bytes(my_port, 4, "little") self.out_conn_id = myrandom.getrandbytes(8) self.proto_tag = proto_tag def write(self, msg, extra={}): RPC_PROXY_REQ = b"\xee\xf1\xce\x36" EXTRA_SIZE = b"\x18\x00\x00\x00" PROXY_TAG = b"\xae\x26\x1e\xdb" FOUR_BYTES_ALIGNER = b"\x00\x00\x00" FLAG_NOT_ENCRYPTED = 0x2 FLAG_HAS_AD_TAG = 0x8 FLAG_MAGIC = 0x1000 FLAG_EXTMODE2 = 0x20000 FLAG_PAD = 0x8000000 FLAG_INTERMEDIATE = 0x20000000 FLAG_ABRIDGED = 0x40000000 FLAG_QUICKACK = 0x80000000 if len(msg) % 4 != 0: print_err("BUG: attempted to send msg with len %d" % len(msg)) return 0 flags = FLAG_HAS_AD_TAG | FLAG_MAGIC | FLAG_EXTMODE2 if self.proto_tag == PROTO_TAG_ABRIDGED: flags |= FLAG_ABRIDGED elif self.proto_tag == PROTO_TAG_INTERMEDIATE: flags |= FLAG_INTERMEDIATE elif self.proto_tag == PROTO_TAG_SECURE: flags |= FLAG_INTERMEDIATE | FLAG_PAD if extra.get("QUICKACK_FLAG"): flags |= FLAG_QUICKACK if msg.startswith(b"\x00" * 8): flags |= FLAG_NOT_ENCRYPTED full_msg = bytearray() full_msg += RPC_PROXY_REQ + int.to_bytes(flags, 4, "little") + self.out_conn_id full_msg += self.remote_ip_port + self.our_ip_port + EXTRA_SIZE + PROXY_TAG full_msg += bytes([len(config.AD_TAG)]) + config.AD_TAG + FOUR_BYTES_ALIGNER full_msg += msg return self.upstream.write(full_msg) def try_setsockopt(sock, level, option, value): try: sock.setsockopt(level, option, value) except OSError as E: pass def set_keepalive(sock, interval=40, attempts=5): sock.setsockopt(socket.SOL_SOCKET, socket.SO_KEEPALIVE, 1) if hasattr(socket, "TCP_KEEPIDLE"): try_setsockopt(sock, socket.IPPROTO_TCP, socket.TCP_KEEPIDLE, interval) if hasattr(socket, "TCP_KEEPINTVL"): try_setsockopt(sock, socket.IPPROTO_TCP, socket.TCP_KEEPINTVL, interval) if hasattr(socket, "TCP_KEEPCNT"): try_setsockopt(sock, socket.IPPROTO_TCP, socket.TCP_KEEPCNT, attempts) def set_ack_timeout(sock, timeout): if hasattr(socket, "TCP_USER_TIMEOUT"): try_setsockopt(sock, socket.IPPROTO_TCP, socket.TCP_USER_TIMEOUT, timeout*1000) def set_bufsizes(sock, recv_buf, send_buf): try_setsockopt(sock, socket.SOL_SOCKET, socket.SO_RCVBUF, recv_buf) try_setsockopt(sock, socket.SOL_SOCKET, socket.SO_SNDBUF, send_buf) def set_instant_rst(sock): INSTANT_RST = b"\x01\x00\x00\x00\x00\x00\x00\x00" if hasattr(socket, "SO_LINGER"): try_setsockopt(sock, socket.SOL_SOCKET, socket.SO_LINGER, INSTANT_RST) def gen_x25519_public_key(): # generates some number which has square root by modulo P P = 2**255 - 19 n = myrandom.randrange(P) return int.to_bytes((n*n) % P, length=32, byteorder="little") async def handle_bad_client(reader_clt, writer_clt, handshake): BUF_SIZE = 8192 CONNECT_TIMEOUT = 5 global mask_host_cached_ip if writer_clt.transport.is_closing(): return set_bufsizes(writer_clt.get_extra_info("socket"), BUF_SIZE, BUF_SIZE) if not config.MASK or handshake is None: while await reader_clt.read(BUF_SIZE): # just consume all the data pass return async def connect_reader_to_writer(reader, writer): try: while True: data = await reader.read(BUF_SIZE) if not data: if not writer.transport.is_closing(): writer.write_eof() await writer.drain() return writer.write(data) await writer.drain() except OSError: pass writer_srv = None try: host = mask_host_cached_ip or config.MASK_HOST task = asyncio.open_connection(host, config.MASK_PORT, limit=BUF_SIZE) reader_srv, writer_srv = await asyncio.wait_for(task, timeout=CONNECT_TIMEOUT) if not mask_host_cached_ip: mask_host_cached_ip = writer_srv.get_extra_info("peername")[0] writer_srv.write(handshake) await writer_srv.drain() srv_to_clt = connect_reader_to_writer(reader_srv, writer_clt) clt_to_srv = connect_reader_to_writer(reader_clt, writer_srv) task_srv_to_clt = asyncio.ensure_future(srv_to_clt) task_clt_to_srv = asyncio.ensure_future(clt_to_srv) await asyncio.wait([task_srv_to_clt, task_clt_to_srv], return_when=asyncio.FIRST_COMPLETED) task_srv_to_clt.cancel() task_clt_to_srv.cancel() if writer_clt.transport.is_closing(): return # if the server closed the connection with RST or FIN-RST, copy them to the client if not writer_srv.transport.is_closing(): # workaround for uvloop, it doesn't fire exceptions on write_eof sock = writer_srv.get_extra_info('socket') raw_sock = socket.socket(sock.family, sock.type, sock.proto, sock.fileno()) try: raw_sock.shutdown(socket.SHUT_WR) except OSError as E: set_instant_rst(writer_clt.get_extra_info("socket")) finally: raw_sock.detach() else: set_instant_rst(writer_clt.get_extra_info("socket")) except ConnectionRefusedError as E: return except (OSError, asyncio.TimeoutError) as E: return finally: if writer_srv is not None: writer_srv.transport.abort() async def handle_fake_tls_handshake(handshake, reader, writer, peer): global used_handshakes global fake_cert_len TIME_SKEW_MIN = -20 * 60 TIME_SKEW_MAX = 10 * 60 TLS_VERS = b"\x03\x03" TLS_CIPHERSUITE = b"\x13\x01" TLS_CHANGE_CIPHER = b"\x14" + TLS_VERS + b"\x00\x01\x01" TLS_APP_HTTP2_HDR = b"\x17" + TLS_VERS DIGEST_LEN = 32 DIGEST_POS = 11 SESSION_ID_LEN_POS = DIGEST_POS + DIGEST_LEN SESSION_ID_POS = SESSION_ID_LEN_POS + 1 tls_extensions = b"\x00\x2e" + b"\x00\x33\x00\x24" + b"\x00\x1d\x00\x20" tls_extensions += gen_x25519_public_key() + b"\x00\x2b\x00\x02\x03\x04" digest = handshake[DIGEST_POS: DIGEST_POS + DIGEST_LEN] if digest in used_handshakes: print_err("Active TLS fingerprinting detected from %s, handling it" % peer[0]) return False sess_id_len = handshake[SESSION_ID_LEN_POS] sess_id = handshake[SESSION_ID_POS: SESSION_ID_POS + sess_id_len] for user in config.USERS: secret = bytes.fromhex(config.USERS[user]) msg = handshake[:DIGEST_POS] + b"\x00"*DIGEST_LEN + handshake[DIGEST_POS+DIGEST_LEN:] computed_digest = hmac.new(secret, msg, digestmod=hashlib.sha256).digest() xored_digest = bytes(digest[i] ^ computed_digest[i] for i in range(DIGEST_LEN)) digest_good = xored_digest.startswith(b"\x00" * (DIGEST_LEN-4)) if not digest_good: continue timestamp = int.from_bytes(xored_digest[-4:], "little") client_time_is_ok = TIME_SKEW_MIN < time.time() - timestamp < TIME_SKEW_MAX # some clients fail to read unix time and send the time since boot instead client_time_is_small = timestamp < 60*60*24*1000 if not client_time_is_ok and not is_time_skewed and not client_time_is_small: err_msg = "Client with time skew detected from %s, can be a replay-attack. " % peer[0] err_msg += "Its clocks were %d minutes behind" % ((time.time() - timestamp) // 60) print_err(err_msg) continue http_data = myrandom.getrandbytes(fake_cert_len) srv_hello = TLS_VERS + b"\x00"*DIGEST_LEN + bytes([sess_id_len]) + sess_id srv_hello += TLS_CIPHERSUITE + b"\x00" + tls_extensions hello_pkt = b"\x16" + TLS_VERS + int.to_bytes(len(srv_hello) + 4, 2, "big") hello_pkt += b"\x02" + int.to_bytes(len(srv_hello), 3, "big") + srv_hello hello_pkt += TLS_CHANGE_CIPHER + TLS_APP_HTTP2_HDR hello_pkt += int.to_bytes(len(http_data), 2, "big") + http_data computed_digest = hmac.new(secret, msg=digest+hello_pkt, digestmod=hashlib.sha256).digest() hello_pkt = hello_pkt[:DIGEST_POS] + computed_digest + hello_pkt[DIGEST_POS+DIGEST_LEN:] writer.write(hello_pkt) await writer.drain() if config.REPLAY_CHECK_LEN > 0: while len(used_handshakes) >= config.REPLAY_CHECK_LEN: used_handshakes.popitem(last=False) used_handshakes[digest] = True reader = FakeTLSStreamReader(reader) writer = FakeTLSStreamWriter(writer) return reader, writer return False async def handle_proxy_protocol(reader, peer=None): PROXY_SIGNATURE = b"PROXY " PROXY_MIN_LEN = 6 PROXY_TCP4 = b"TCP4" PROXY_TCP6 = b"TCP6" PROXY_UNKNOWN = b"UNKNOWN" PROXY2_SIGNATURE = b"\x0d\x0a\x0d\x0a\x00\x0d\x0a\x51\x55\x49\x54\x0a" PROXY2_MIN_LEN = 16 PROXY2_AF_UNSPEC = 0x0 PROXY2_AF_INET = 0x1 PROXY2_AF_INET6 = 0x2 header = await reader.readexactly(PROXY_MIN_LEN) if header.startswith(PROXY_SIGNATURE): # proxy header v1 header += await reader.readuntil(b"\r\n") _, proxy_fam, *proxy_addr = header[:-2].split(b" ") if proxy_fam in (PROXY_TCP4, PROXY_TCP6): if len(proxy_addr) == 4: src_addr = proxy_addr[0].decode('ascii') src_port = proxy_addr[2].decode('ascii') return (src_addr, src_port) elif proxy_fam == PROXY_UNKNOWN: return peer return False header += await reader.readexactly(PROXY2_MIN_LEN - PROXY_MIN_LEN) if header.startswith(PROXY2_SIGNATURE): # proxy header v2 proxy_ver = header[12] if proxy_ver & 0xf0 != 0x20: return False proxy_len = int.from_bytes(header[14:16], "big") proxy_addr = await reader.readexactly(proxy_len) if proxy_ver == 0x21: proxy_fam = header[13] >> 4 if proxy_fam == PROXY2_AF_INET: if proxy_len >= (4 + 2)*2: src_addr = socket.inet_ntop(socket.AF_INET, proxy_addr[:4]) src_port = int.from_bytes(proxy_addr[8:10], "big") return (src_addr, src_port) elif proxy_fam == PROXY2_AF_INET6: if proxy_len >= (16 + 2)*2: src_addr = socket.inet_ntop(socket.AF_INET6, proxy_addr[:16]) src_port = int.from_bytes(proxy_addr[32:34], "big") return (src_addr, src_port) elif proxy_fam == PROXY2_AF_UNSPEC: return peer elif proxy_ver == 0x20: return peer return False async def handle_handshake(reader, writer): global used_handshakes TLS_START_BYTES = b"\x16\x03\x01\x02\x00\x01\x00\x01\xfc\x03\x03" if writer.transport.is_closing() or writer.get_extra_info("peername") is None: return False peer = writer.get_extra_info("peername")[:2] if config.PROXY_PROTOCOL: ip = peer[0] if peer else "unknown address" peer = await handle_proxy_protocol(reader, peer) if not peer: print_err("Client from %s sent bad proxy protocol headers" % ip) await handle_bad_client(reader, writer, None) return False is_tls_handshake = True handshake = b"" for expected_byte in TLS_START_BYTES: handshake += await reader.readexactly(1) if handshake[-1] != expected_byte: is_tls_handshake = False break if is_tls_handshake: handshake += await reader.readexactly(TLS_HANDSHAKE_LEN - len(handshake)) tls_handshake_result = await handle_fake_tls_handshake(handshake, reader, writer, peer) if not tls_handshake_result: await handle_bad_client(reader, writer, handshake) return False reader, writer = tls_handshake_result handshake = await reader.readexactly(HANDSHAKE_LEN) else: if config.TLS_ONLY: await handle_bad_client(reader, writer, handshake) return False handshake += await reader.readexactly(HANDSHAKE_LEN - len(handshake)) dec_prekey_and_iv = handshake[SKIP_LEN:SKIP_LEN+PREKEY_LEN+IV_LEN] dec_prekey, dec_iv = dec_prekey_and_iv[:PREKEY_LEN], dec_prekey_and_iv[PREKEY_LEN:] enc_prekey_and_iv = handshake[SKIP_LEN:SKIP_LEN+PREKEY_LEN+IV_LEN][::-1] enc_prekey, enc_iv = enc_prekey_and_iv[:PREKEY_LEN], enc_prekey_and_iv[PREKEY_LEN:] if dec_prekey_and_iv in used_handshakes: print_err("Active fingerprinting detected from %s, handling it" % peer[0]) await handle_bad_client(reader, writer, handshake) return False for user in config.USERS: secret = bytes.fromhex(config.USERS[user]) dec_key = hashlib.sha256(dec_prekey + secret).digest() decryptor = create_aes_ctr(key=dec_key, iv=int.from_bytes(dec_iv, "big")) enc_key = hashlib.sha256(enc_prekey + secret).digest() encryptor = create_aes_ctr(key=enc_key, iv=int.from_bytes(enc_iv, "big")) decrypted = decryptor.decrypt(handshake) proto_tag = decrypted[PROTO_TAG_POS:PROTO_TAG_POS+4] if proto_tag not in (PROTO_TAG_ABRIDGED, PROTO_TAG_INTERMEDIATE, PROTO_TAG_SECURE): continue if config.SECURE_ONLY and proto_tag != PROTO_TAG_SECURE: continue dc_idx = int.from_bytes(decrypted[DC_IDX_POS:DC_IDX_POS+2], "little", signed=True) if config.REPLAY_CHECK_LEN > 0: while len(used_handshakes) >= config.REPLAY_CHECK_LEN: used_handshakes.popitem(last=False) used_handshakes[dec_prekey_and_iv] = True reader = CryptoWrappedStreamReader(reader, decryptor) writer = CryptoWrappedStreamWriter(writer, encryptor) return reader, writer, proto_tag, user, dc_idx, enc_key + enc_iv, peer await handle_bad_client(reader, writer, handshake) return False async def open_connection_tryer(addr, port, limit, timeout, max_attempts=3): for attempt in range(max_attempts-1): try: task = asyncio.open_connection(addr, port, limit=limit) reader_tgt, writer_tgt = await asyncio.wait_for(task, timeout=timeout) return reader_tgt, writer_tgt except (OSError, asyncio.TimeoutError): continue # the last attempt task = asyncio.open_connection(addr, port, limit=limit) reader_tgt, writer_tgt = await asyncio.wait_for(task, timeout=timeout) return reader_tgt, writer_tgt async def do_direct_handshake(proto_tag, dc_idx, dec_key_and_iv=None): RESERVED_NONCE_FIRST_CHARS = [b"\xef"] RESERVED_NONCE_BEGININGS = [b"\x48\x45\x41\x44", b"\x50\x4F\x53\x54", b"\x47\x45\x54\x20", b"\xee\xee\xee\xee", b"\xdd\xdd\xdd\xdd", b"\x16\x03\x01\x02"] RESERVED_NONCE_CONTINUES = [b"\x00\x00\x00\x00"] global my_ip_info dc_idx = abs(dc_idx) - 1 if my_ip_info["ipv6"] and (config.PREFER_IPV6 or not my_ip_info["ipv4"]): if not 0 <= dc_idx < len(TG_DATACENTERS_V6): return False dc = TG_DATACENTERS_V6[dc_idx] else: if not 0 <= dc_idx < len(TG_DATACENTERS_V4): return False dc = TG_DATACENTERS_V4[dc_idx] try: reader_tgt, writer_tgt = await open_connection_tryer( dc, TG_DATACENTER_PORT, limit=get_to_clt_bufsize(), timeout=config.TG_CONNECT_TIMEOUT) except ConnectionRefusedError as E: print_err("Got connection refused while trying to connect to", dc, TG_DATACENTER_PORT) return False except (OSError, asyncio.TimeoutError) as E: print_err("Unable to connect to", dc, TG_DATACENTER_PORT) return False set_keepalive(writer_tgt.get_extra_info("socket")) set_bufsizes(writer_tgt.get_extra_info("socket"), get_to_clt_bufsize(), get_to_tg_bufsize()) while True: rnd = bytearray(myrandom.getrandbytes(HANDSHAKE_LEN)) if rnd[:1] in RESERVED_NONCE_FIRST_CHARS: continue if rnd[:4] in RESERVED_NONCE_BEGININGS: continue if rnd[4:8] in RESERVED_NONCE_CONTINUES: continue break rnd[PROTO_TAG_POS:PROTO_TAG_POS+4] = proto_tag if dec_key_and_iv: rnd[SKIP_LEN:SKIP_LEN+KEY_LEN+IV_LEN] = dec_key_and_iv[::-1] rnd = bytes(rnd) dec_key_and_iv = rnd[SKIP_LEN:SKIP_LEN+KEY_LEN+IV_LEN][::-1] dec_key, dec_iv = dec_key_and_iv[:KEY_LEN], dec_key_and_iv[KEY_LEN:] decryptor = create_aes_ctr(key=dec_key, iv=int.from_bytes(dec_iv, "big")) enc_key_and_iv = rnd[SKIP_LEN:SKIP_LEN+KEY_LEN+IV_LEN] enc_key, enc_iv = enc_key_and_iv[:KEY_LEN], enc_key_and_iv[KEY_LEN:] encryptor = create_aes_ctr(key=enc_key, iv=int.from_bytes(enc_iv, "big")) rnd_enc = rnd[:PROTO_TAG_POS] + encryptor.encrypt(rnd)[PROTO_TAG_POS:] writer_tgt.write(rnd_enc) await writer_tgt.drain() reader_tgt = CryptoWrappedStreamReader(reader_tgt, decryptor) writer_tgt = CryptoWrappedStreamWriter(writer_tgt, encryptor) return reader_tgt, writer_tgt def get_middleproxy_aes_key_and_iv(nonce_srv, nonce_clt, clt_ts, srv_ip, clt_port, purpose, clt_ip, srv_port, middleproxy_secret, clt_ipv6=None, srv_ipv6=None): EMPTY_IP = b"\x00\x00\x00\x00" if not clt_ip or not srv_ip: clt_ip = EMPTY_IP srv_ip = EMPTY_IP s = bytearray() s += nonce_srv + nonce_clt + clt_ts + srv_ip + clt_port + purpose + clt_ip + srv_port s += middleproxy_secret + nonce_srv if clt_ipv6 and srv_ipv6: s += clt_ipv6 + srv_ipv6 s += nonce_clt md5_sum = hashlib.md5(s[1:]).digest() sha1_sum = hashlib.sha1(s).digest() key = md5_sum[:12] + sha1_sum iv = hashlib.md5(s[2:]).digest() return key, iv async def do_middleproxy_handshake(proto_tag, dc_idx, cl_ip, cl_port): START_SEQ_NO = -2 NONCE_LEN = 16 RPC_NONCE = b"\xaa\x87\xcb\x7a" RPC_HANDSHAKE = b"\xf5\xee\x82\x76" CRYPTO_AES = b"\x01\x00\x00\x00" RPC_NONCE_ANS_LEN = 32 RPC_HANDSHAKE_ANS_LEN = 32 # pass as consts to simplify code RPC_FLAGS = b"\x00\x00\x00\x00" global my_ip_info use_ipv6_tg = (my_ip_info["ipv6"] and (config.PREFER_IPV6 or not my_ip_info["ipv4"])) use_ipv6_clt = (":" in cl_ip) if use_ipv6_tg: if dc_idx not in TG_MIDDLE_PROXIES_V6: return False addr, port = myrandom.choice(TG_MIDDLE_PROXIES_V6[dc_idx]) else: if dc_idx not in TG_MIDDLE_PROXIES_V4: return False addr, port = myrandom.choice(TG_MIDDLE_PROXIES_V4[dc_idx]) try: reader_tgt, writer_tgt = await open_connection_tryer(addr, port, limit=get_to_clt_bufsize(), timeout=config.TG_CONNECT_TIMEOUT) except ConnectionRefusedError as E: print_err("The Telegram server %d (%s %s) is refusing connections" % (dc_idx, addr, port)) return False except (OSError, asyncio.TimeoutError) as E: print_err("Unable to connect to the Telegram server %d (%s %s)" % (dc_idx, addr, port)) return False set_keepalive(writer_tgt.get_extra_info("socket")) set_bufsizes(writer_tgt.get_extra_info("socket"), get_to_clt_bufsize(), get_to_tg_bufsize()) writer_tgt = MTProtoFrameStreamWriter(writer_tgt, START_SEQ_NO) key_selector = PROXY_SECRET[:4] crypto_ts = int.to_bytes(int(time.time()) % (256**4), 4, "little") nonce = myrandom.getrandbytes(NONCE_LEN) msg = RPC_NONCE + key_selector + CRYPTO_AES + crypto_ts + nonce writer_tgt.write(msg) await writer_tgt.drain() old_reader = reader_tgt reader_tgt = MTProtoFrameStreamReader(reader_tgt, START_SEQ_NO) ans = await reader_tgt.read(get_to_clt_bufsize()) if len(ans) != RPC_NONCE_ANS_LEN: return False rpc_type, rpc_key_selector, rpc_schema, rpc_crypto_ts, rpc_nonce = ( ans[:4], ans[4:8], ans[8:12], ans[12:16], ans[16:32] ) if rpc_type != RPC_NONCE or rpc_key_selector != key_selector or rpc_schema != CRYPTO_AES: return False # get keys tg_ip, tg_port = writer_tgt.upstream.get_extra_info('peername')[:2] my_ip, my_port = writer_tgt.upstream.get_extra_info('sockname')[:2] if not use_ipv6_tg: if my_ip_info["ipv4"]: # prefer global ip settings to work behind NAT my_ip = my_ip_info["ipv4"] tg_ip_bytes = socket.inet_pton(socket.AF_INET, tg_ip)[::-1] my_ip_bytes = socket.inet_pton(socket.AF_INET, my_ip)[::-1] tg_ipv6_bytes = None my_ipv6_bytes = None else: if my_ip_info["ipv6"]: my_ip = my_ip_info["ipv6"] tg_ip_bytes = None my_ip_bytes = None tg_ipv6_bytes = socket.inet_pton(socket.AF_INET6, tg_ip) my_ipv6_bytes = socket.inet_pton(socket.AF_INET6, my_ip) tg_port_bytes = int.to_bytes(tg_port, 2, "little") my_port_bytes = int.to_bytes(my_port, 2, "little") enc_key, enc_iv = get_middleproxy_aes_key_and_iv( nonce_srv=rpc_nonce, nonce_clt=nonce, clt_ts=crypto_ts, srv_ip=tg_ip_bytes, clt_port=my_port_bytes, purpose=b"CLIENT", clt_ip=my_ip_bytes, srv_port=tg_port_bytes, middleproxy_secret=PROXY_SECRET, clt_ipv6=my_ipv6_bytes, srv_ipv6=tg_ipv6_bytes) dec_key, dec_iv = get_middleproxy_aes_key_and_iv( nonce_srv=rpc_nonce, nonce_clt=nonce, clt_ts=crypto_ts, srv_ip=tg_ip_bytes, clt_port=my_port_bytes, purpose=b"SERVER", clt_ip=my_ip_bytes, srv_port=tg_port_bytes, middleproxy_secret=PROXY_SECRET, clt_ipv6=my_ipv6_bytes, srv_ipv6=tg_ipv6_bytes) encryptor = create_aes_cbc(key=enc_key, iv=enc_iv) decryptor = create_aes_cbc(key=dec_key, iv=dec_iv) SENDER_PID = b"IPIPPRPDTIME" PEER_PID = b"IPIPPRPDTIME" # TODO: pass client ip and port here for statistics handshake = RPC_HANDSHAKE + RPC_FLAGS + SENDER_PID + PEER_PID writer_tgt.upstream = CryptoWrappedStreamWriter(writer_tgt.upstream, encryptor, block_size=16) writer_tgt.write(handshake) await writer_tgt.drain() reader_tgt.upstream = CryptoWrappedStreamReader(reader_tgt.upstream, decryptor, block_size=16) handshake_ans = await reader_tgt.read(1) if len(handshake_ans) != RPC_HANDSHAKE_ANS_LEN: return False handshake_type, handshake_flags, handshake_sender_pid, handshake_peer_pid = ( handshake_ans[:4], handshake_ans[4:8], handshake_ans[8:20], handshake_ans[20:32]) if handshake_type != RPC_HANDSHAKE or handshake_peer_pid != SENDER_PID: return False writer_tgt = ProxyReqStreamWriter(writer_tgt, cl_ip, cl_port, my_ip, my_port, proto_tag) reader_tgt = ProxyReqStreamReader(reader_tgt) return reader_tgt, writer_tgt async def handle_client(reader_clt, writer_clt): set_keepalive(writer_clt.get_extra_info("socket"), config.CLIENT_KEEPALIVE, attempts=3) set_ack_timeout(writer_clt.get_extra_info("socket"), config.CLIENT_ACK_TIMEOUT) set_bufsizes(writer_clt.get_extra_info("socket"), get_to_tg_bufsize(), get_to_clt_bufsize()) try: clt_data = await asyncio.wait_for(handle_handshake(reader_clt, writer_clt), timeout=config.CLIENT_HANDSHAKE_TIMEOUT) except asyncio.TimeoutError: return if not clt_data: return reader_clt, writer_clt, proto_tag, user, dc_idx, enc_key_and_iv, peer = clt_data cl_ip, cl_port = peer update_stats(user, connects=1) connect_directly = (not config.USE_MIDDLE_PROXY or disable_middle_proxy) if connect_directly: if config.FAST_MODE: tg_data = await do_direct_handshake(proto_tag, dc_idx, dec_key_and_iv=enc_key_and_iv) else: tg_data = await do_direct_handshake(proto_tag, dc_idx) else: tg_data = await do_middleproxy_handshake(proto_tag, dc_idx, cl_ip, cl_port) if not tg_data: return reader_tg, writer_tg = tg_data if connect_directly and config.FAST_MODE: class FakeEncryptor: def encrypt(self, data): return data class FakeDecryptor: def decrypt(self, data): return data reader_tg.decryptor = FakeDecryptor() writer_clt.encryptor = FakeEncryptor() if not connect_directly: if proto_tag == PROTO_TAG_ABRIDGED: reader_clt = MTProtoCompactFrameStreamReader(reader_clt) writer_clt = MTProtoCompactFrameStreamWriter(writer_clt) elif proto_tag == PROTO_TAG_INTERMEDIATE: reader_clt = MTProtoIntermediateFrameStreamReader(reader_clt) writer_clt = MTProtoIntermediateFrameStreamWriter(writer_clt) elif proto_tag == PROTO_TAG_SECURE: reader_clt = MTProtoSecureIntermediateFrameStreamReader(reader_clt) writer_clt = MTProtoSecureIntermediateFrameStreamWriter(writer_clt) else: return async def connect_reader_to_writer(rd, wr, user, rd_buf_size, block_if_first_pkt_bad=False): is_first_pkt = True try: while True: data = await rd.read(rd_buf_size) if isinstance(data, tuple): data, extra = data else: extra = {} # protection against replay-based fingerprinting if is_first_pkt: is_first_pkt = False ERR_PKT_DATA = b'l\xfe\xff\xff' if block_if_first_pkt_bad and data == ERR_PKT_DATA: print_err("Active fingerprinting detected from %s, dropping it" % cl_ip) wr.write_eof() await wr.drain() return if not data: wr.write_eof() await wr.drain() return else: update_stats(user, octets=len(data), msgs=1) wr.write(data, extra) await wr.drain() except (OSError, asyncio.streams.IncompleteReadError) as e: # print_err(e) pass tg_to_clt = connect_reader_to_writer(reader_tg, writer_clt, user, get_to_clt_bufsize(), block_if_first_pkt_bad=config.BLOCK_IF_FIRST_PKT_BAD) clt_to_tg = connect_reader_to_writer(reader_clt, writer_tg, user, get_to_tg_bufsize()) task_tg_to_clt = asyncio.ensure_future(tg_to_clt) task_clt_to_tg = asyncio.ensure_future(clt_to_tg) update_stats(user, curr_connects=1) tcp_limit_hit = ( user in config.USER_MAX_TCP_CONNS and stats[user]["curr_connects"] > config.USER_MAX_TCP_CONNS[user] ) user_expired = ( user in config.USER_EXPIRATIONS and datetime.datetime.now() > config.USER_EXPIRATIONS[user] ) user_data_quota_hit = ( user in config.USER_DATA_QUOTA and stats[user]["octets"] > config.USER_DATA_QUOTA[user] ) if (not tcp_limit_hit) and (not user_expired) and (not user_data_quota_hit): await asyncio.wait([task_tg_to_clt, task_clt_to_tg], return_when=asyncio.FIRST_COMPLETED) update_stats(user, curr_connects=-1) task_tg_to_clt.cancel() task_clt_to_tg.cancel() writer_tg.transport.abort() async def handle_client_wrapper(reader, writer): try: await handle_client(reader, writer) except (asyncio.IncompleteReadError, asyncio.CancelledError): pass except (ConnectionResetError, TimeoutError): pass except Exception: traceback.print_exc() finally: writer.transport.abort() async def stats_printer(): global stats while True: await asyncio.sleep(config.STATS_PRINT_PERIOD) print("Stats for", time.strftime("%d.%m.%Y %H:%M:%S")) for user, stat in stats.items(): print("%s: %d connects (%d current), %.2f MB, %d msgs" % ( user, stat["connects"], stat["curr_connects"], stat["octets"] / 1000000, stat["msgs"])) print(flush=True) async def make_https_req(url, host="core.telegram.org"): """ Make request, return resp body and headers. """ SSL_PORT = 443 url_data = urllib.parse.urlparse(url) HTTP_REQ_TEMPLATE = "\r\n".join(["GET %s HTTP/1.1", "Host: %s", "Connection: close"]) + "\r\n\r\n" reader, writer = await asyncio.open_connection(url_data.netloc, SSL_PORT, ssl=True) req = HTTP_REQ_TEMPLATE % (urllib.parse.quote(url_data.path), host) writer.write(req.encode("utf8")) data = await reader.read() writer.close() headers, body = data.split(b"\r\n\r\n", 1) return headers, body def gen_tls_client_hello_msg(server_name): msg = bytearray() msg += b"\x16\x03\x01\x02\x00\x01\x00\x01\xfc\x03\x03" + myrandom.getrandbytes(32) msg += b"\x20" + myrandom.getrandbytes(32) msg += b"\x00\x22\x4a\x4a\x13\x01\x13\x02\x13\x03\xc0\x2b\xc0\x2f\xc0\x2c\xc0\x30\xcc\xa9" msg += b"\xcc\xa8\xc0\x13\xc0\x14\x00\x9c\x00\x9d\x00\x2f\x00\x35\x00\x0a\x01\x00\x01\x91" msg += b"\xda\xda\x00\x00\x00\x00" msg += int.to_bytes(len(server_name) + 5, 2, "big") msg += int.to_bytes(len(server_name) + 3, 2, "big") + b"\x00" msg += int.to_bytes(len(server_name), 2, "big") + server_name.encode("ascii") msg += b"\x00\x17\x00\x00\xff\x01\x00\x01\x00\x00\x0a\x00\x0a\x00\x08\xaa\xaa\x00\x1d\x00" msg += b"\x17\x00\x18\x00\x0b\x00\x02\x01\x00\x00\x23\x00\x00\x00\x10\x00\x0e\x00\x0c\x02" msg += b"\x68\x32\x08\x68\x74\x74\x70\x2f\x31\x2e\x31\x00\x05\x00\x05\x01\x00\x00\x00\x00" msg += b"\x00\x0d\x00\x14\x00\x12\x04\x03\x08\x04\x04\x01\x05\x03\x08\x05\x05\x01\x08\x06" msg += b"\x06\x01\x02\x01\x00\x12\x00\x00\x00\x33\x00\x2b\x00\x29\xaa\xaa\x00\x01\x00\x00" msg += b"\x1d\x00\x20" + gen_x25519_public_key() msg += b"\x00\x2d\x00\x02\x01\x01\x00\x2b\x00\x0b\x0a\xba\xba\x03\x04\x03\x03\x03\x02\x03" msg += b"\x01\x00\x1b\x00\x03\x02\x00\x02\x3a\x3a\x00\x01\x00\x00\x15" msg += int.to_bytes(517 - len(msg) - 2, 2, "big") msg += b"\x00" * (517 - len(msg)) return bytes(msg) async def get_encrypted_cert(host, port, server_name): async def get_tls_record(reader): try: record_type = (await reader.readexactly(1))[0] tls_version = await reader.readexactly(2) if tls_version != b"\x03\x03": return 0, b"" record_len = int.from_bytes(await reader.readexactly(2), "big") record = await reader.readexactly(record_len) return record_type, record except asyncio.IncompleteReadError: return 0, b"" reader, writer = await asyncio.open_connection(host, port) writer.write(gen_tls_client_hello_msg(server_name)) await writer.drain() record1_type, record1 = await get_tls_record(reader) if record1_type != 22: return b"" record2_type, record2 = await get_tls_record(reader) if record2_type != 20: return b"" record3_type, record3 = await get_tls_record(reader) if record3_type != 23: return b"" return record3 async def get_mask_host_cert_len(): global fake_cert_len GET_CERT_TIMEOUT = 10 MASK_ENABLING_CHECK_PERIOD = 60 while True: try: if not config.MASK: # do nothing await asyncio.sleep(MASK_ENABLING_CHECK_PERIOD) continue task = get_encrypted_cert(config.MASK_HOST, config.MASK_PORT, config.TLS_DOMAIN) cert = await asyncio.wait_for(task, timeout=GET_CERT_TIMEOUT) if cert: if len(cert) != fake_cert_len: fake_cert_len = len(cert) else: print_err("The MASK_HOST %s is not TLS 1.3 host, this is not recommended" % config.MASK_HOST) except ConnectionRefusedError: print_err("The MASK_HOST %s is refusing connections, this is not recommended" % config.MASK_HOST) except (TimeoutError, asyncio.TimeoutError): print_err("Got timeout while getting TLS handshake from MASK_HOST %s" % config.MASK_HOST) except Exception as E: print_err("Failed to connect to MASK_HOST %s: %s" % ( config.MASK_HOST, E)) await asyncio.sleep(config.GET_CERT_LEN_PERIOD) async def get_srv_time(): TIME_SYNC_ADDR = "https://core.telegram.org/getProxySecret" MAX_TIME_SKEW = 30 global disable_middle_proxy global is_time_skewed want_to_reenable_advertising = False while True: try: headers, secret = await make_https_req(TIME_SYNC_ADDR) for line in headers.split(b"\r\n"): if not line.startswith(b"Date: "): continue line = line[len("Date: "):].decode() srv_time = datetime.datetime.strptime(line, "%a, %d %b %Y %H:%M:%S %Z") now_time = datetime.datetime.utcnow() is_time_skewed = (now_time-srv_time).total_seconds() > MAX_TIME_SKEW if is_time_skewed and config.USE_MIDDLE_PROXY and not disable_middle_proxy: print_err("Time skew detected, please set the clock") print_err("Server time:", srv_time, "your time:", now_time) print_err("Disabling advertising to continue serving") print_err("Putting down the shields against replay attacks") disable_middle_proxy = True want_to_reenable_advertising = True elif not is_time_skewed and want_to_reenable_advertising: print_err("Time is ok, reenabling advertising") disable_middle_proxy = False want_to_reenable_advertising = False except Exception as E: print_err("Error getting server time", E) await asyncio.sleep(config.GET_TIME_PERIOD) async def clear_ip_resolving_cache(): global mask_host_cached_ip min_sleep = myrandom.randrange(60 - 10, 60 + 10) max_sleep = myrandom.randrange(120 - 10, 120 + 10) while True: mask_host_cached_ip = None await asyncio.sleep(myrandom.randrange(min_sleep, max_sleep)) async def update_middle_proxy_info(): async def get_new_proxies(url): PROXY_REGEXP = re.compile(r"proxy_for\s+(-?\d+)\s+(.+):(\d+)\s*;") ans = {} headers, body = await make_https_req(url) fields = PROXY_REGEXP.findall(body.decode("utf8")) if fields: for dc_idx, host, port in fields: if host.startswith("[") and host.endswith("]"): host = host[1:-1] dc_idx, port = int(dc_idx), int(port) if dc_idx not in ans: ans[dc_idx] = [(host, port)] else: ans[dc_idx].append((host, port)) return ans PROXY_INFO_ADDR = "https://core.telegram.org/getProxyConfig" PROXY_INFO_ADDR_V6 = "https://core.telegram.org/getProxyConfigV6" PROXY_SECRET_ADDR = "https://core.telegram.org/getProxySecret" global TG_MIDDLE_PROXIES_V4 global TG_MIDDLE_PROXIES_V6 global PROXY_SECRET while True: try: v4_proxies = await get_new_proxies(PROXY_INFO_ADDR) if not v4_proxies: raise Exception("no proxy data") TG_MIDDLE_PROXIES_V4 = v4_proxies except Exception as E: print_err("Error updating middle proxy list:", E) try: v6_proxies = await get_new_proxies(PROXY_INFO_ADDR_V6) if not v6_proxies: raise Exception("no proxy data (ipv6)") TG_MIDDLE_PROXIES_V6 = v6_proxies except Exception as E: print_err("Error updating middle proxy list for IPv6:", E) try: headers, secret = await make_https_req(PROXY_SECRET_ADDR) if not secret: raise Exception("no secret") if secret != PROXY_SECRET: PROXY_SECRET = secret print_err("Middle proxy secret updated") except Exception as E: print_err("Error updating middle proxy secret, using old", E) await asyncio.sleep(config.PROXY_INFO_UPDATE_PERIOD) def init_ip_info(): global my_ip_info global disable_middle_proxy def get_ip_from_url(url): TIMEOUT = 5 try: with urllib.request.urlopen(url, timeout=TIMEOUT) as f: if f.status != 200: raise Exception("Invalid status code") return f.read().decode().strip() except Exception: return None IPV4_URL1 = "http://v4.ident.me/" IPV4_URL2 = "http://ipv4.icanhazip.com/" IPV6_URL1 = "http://v6.ident.me/" IPV6_URL2 = "http://ipv6.icanhazip.com/" my_ip_info["ipv4"] = get_ip_from_url(IPV4_URL1) or get_ip_from_url(IPV4_URL2) my_ip_info["ipv6"] = get_ip_from_url(IPV6_URL1) or get_ip_from_url(IPV6_URL2) if my_ip_info["ipv6"] and (config.PREFER_IPV6 or not my_ip_info["ipv4"]): print_err("IPv6 found, using it for external communication") if config.USE_MIDDLE_PROXY: if not my_ip_info["ipv4"] and not my_ip_info["ipv6"]: print_err("Failed to determine your ip, advertising disabled") disable_middle_proxy = True def print_tg_info(): global my_ip_info print_default_warning = False if config.PORT == 3256: print("The default port 3256 is used, this is not recommended", flush=True) if config.TLS_ONLY: print("Since you have TLS only mode enabled the best port is 443", flush=True) print_default_warning = True ip_addrs = [ip for ip in my_ip_info.values() if ip] if not ip_addrs: ip_addrs = ["YOUR_IP"] for user, secret in sorted(config.USERS.items(), key=lambda x: x[0]): for ip in ip_addrs: if not config.TLS_ONLY: if not config.SECURE_ONLY: params = {"server": ip, "port": config.PORT, "secret": secret} params_encodeded = urllib.parse.urlencode(params, safe=':') print("{}: tg://proxy?{}".format(user, params_encodeded), flush=True) params = {"server": ip, "port": config.PORT, "secret": "dd" + secret} params_encodeded = urllib.parse.urlencode(params, safe=':') print("{}: tg://proxy?{}".format(user, params_encodeded), flush=True) tls_secret = "ee" + secret + config.TLS_DOMAIN.encode().hex() # the base64 links is buggy on ios # tls_secret = bytes.fromhex("ee" + secret) + config.TLS_DOMAIN.encode() # tls_secret_base64 = base64.urlsafe_b64encode(tls_secret) params = {"server": ip, "port": config.PORT, "secret": tls_secret} params_encodeded = urllib.parse.urlencode(params, safe=':') print("{}: tg://proxy?{} (new)".format(user, params_encodeded), flush=True) if secret in ["00000000000000000000000000000000", "0123456789abcdef0123456789abcdef"]: msg = "The default secret {} is used, this is not recommended".format(secret) print(msg, flush=True) random_secret = "".join(myrandom.choice("0123456789abcdef") for i in range(32)) print("You can change it to this random secret:", random_secret, flush=True) print_default_warning = True if config.TLS_DOMAIN == "www.google.com": print("The default TLS_DOMAIN www.google.com is used, this is not recommended", flush=True) msg = "You should use random existing domain instead, bad clients are proxied there" print(msg, flush=True) print_default_warning = True if print_default_warning: print_err("Warning: one or more default settings detected") def setup_files_limit(): try: import resource soft_fd_limit, hard_fd_limit = resource.getrlimit(resource.RLIMIT_NOFILE) resource.setrlimit(resource.RLIMIT_NOFILE, (hard_fd_limit, hard_fd_limit)) except (ValueError, OSError): print("Failed to increase the limit of opened files", flush=True, file=sys.stderr) except ImportError: pass def setup_signals(): if hasattr(signal, 'SIGUSR1'): def debug_signal(signum, frame): import pdb pdb.set_trace() signal.signal(signal.SIGUSR1, debug_signal) if hasattr(signal, 'SIGUSR2'): def reload_signal(signum, frame): init_config() print("Config reloaded", flush=True, file=sys.stderr) print_tg_info() signal.signal(signal.SIGUSR2, reload_signal) def try_setup_uvloop(): try: import uvloop asyncio.set_event_loop_policy(uvloop.EventLoopPolicy()) print_err("Found uvloop, using it for optimal performance") except ImportError: pass def remove_unix_socket(path): try: if stat.S_ISSOCK(os.stat(path).st_mode): os.unlink(path) except (FileNotFoundError, NotADirectoryError): pass def loop_exception_handler(loop, context): exception = context.get("exception") transport = context.get("transport") if exception: if isinstance(exception, TimeoutError): if transport: transport.abort() return if isinstance(exception, OSError): IGNORE_ERRNO = { 10038, # operation on non-socket on Windows, likely because fd == -1 121, # the semaphore timeout period has expired on Windows } FORCE_CLOSE_ERRNO = { 113, # no route to host } if exception.errno in IGNORE_ERRNO: return elif exception.errno in FORCE_CLOSE_ERRNO: if transport: transport.abort() return loop.default_exception_handler(context) def main(): setup_files_limit() setup_signals() try_setup_uvloop() init_stats() if sys.platform == "win32": loop = asyncio.ProactorEventLoop() asyncio.set_event_loop(loop) loop = asyncio.get_event_loop() loop.set_exception_handler(loop_exception_handler) stats_printer_task = asyncio.Task(stats_printer()) asyncio.ensure_future(stats_printer_task) if config.USE_MIDDLE_PROXY: middle_proxy_updater_task = asyncio.Task(update_middle_proxy_info()) asyncio.ensure_future(middle_proxy_updater_task) if config.GET_TIME_PERIOD: time_get_task = asyncio.Task(get_srv_time()) asyncio.ensure_future(time_get_task) get_cert_len_task = asyncio.Task(get_mask_host_cert_len()) asyncio.ensure_future(get_cert_len_task) clear_resolving_cache_task = asyncio.Task(clear_ip_resolving_cache()) asyncio.ensure_future(clear_resolving_cache_task) reuse_port = hasattr(socket, "SO_REUSEPORT") has_unix = hasattr(socket, "AF_UNIX") servers = [] if config.LISTEN_ADDR_IPV4: task = asyncio.start_server(handle_client_wrapper, config.LISTEN_ADDR_IPV4, config.PORT, limit=get_to_tg_bufsize(), reuse_port=reuse_port, loop=loop) servers.append(loop.run_until_complete(task)) if config.LISTEN_ADDR_IPV6 and socket.has_ipv6: task = asyncio.start_server(handle_client_wrapper, config.LISTEN_ADDR_IPV6, config.PORT, limit=get_to_tg_bufsize(), reuse_port=reuse_port, loop=loop) servers.append(loop.run_until_complete(task)) if config.LISTEN_UNIX_SOCK and has_unix: remove_unix_socket(config.LISTEN_UNIX_SOCK) task = asyncio.start_unix_server(handle_client_wrapper, config.LISTEN_UNIX_SOCK, limit=get_to_tg_bufsize(), loop=loop) servers.append(loop.run_until_complete(task)) os.chmod(config.LISTEN_UNIX_SOCK, 0o666) try: loop.run_forever() except KeyboardInterrupt: pass for task in asyncio.Task.all_tasks(): task.cancel() for server in servers: server.close() loop.run_until_complete(server.wait_closed()) if config.LISTEN_UNIX_SOCK and has_unix: remove_unix_socket(config.LISTEN_UNIX_SOCK) loop.close() if __name__ == "__main__": init_config() init_ip_info() print_tg_info() main()

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import asyncio import socket import urllib.parse import urllib.request import collections import time import datetime import hmac import base64 import hashlib import random import binascii import sys import re import runpy import signal import os import stat import traceback TG_DATACENTER_PORT = 443 TG_DATACENTERS_V4 = [ "149.154.175.50", "149.154.167.51", "149.154.175.100", "149.154.167.91", "149.154.171.5" ] TG_DATACENTERS_V6 = [ "2001:b28:f23d:f001::a", "2001:67c:04e8:f002::a", "2001:b28:f23d:f003::a", "2001:67c:04e8:f004::a", "2001:b28:f23f:f005::a" ] TG_MIDDLE_PROXIES_V4 = { 1: [("149.154.175.50", 8888)], -1: [("149.154.175.50", 8888)], 2: [("149.154.162.38", 80)], -2: [("149.154.162.38", 80)], 3: [("149.154.175.100", 8888)], -3: [("149.154.175.100", 8888)], 4: [("91.108.4.136", 8888)], -4: [("149.154.165.109", 8888)], 5: [("91.108.56.181", 8888)], -5: [("91.108.56.181", 8888)] } TG_MIDDLE_PROXIES_V6 = { 1: [("2001:b28:f23d:f001::d", 8888)], -1: [("2001:b28:f23d:f001::d", 8888)], 2: [("2001:67c:04e8:f002::d", 80)], -2: [("2001:67c:04e8:f002::d", 80)], 3: [("2001:b28:f23d:f003::d", 8888)], -3: [("2001:b28:f23d:f003::d", 8888)], 4: [("2001:67c:04e8:f004::d", 8888)], -4: [("2001:67c:04e8:f004::d", 8888)], 5: [("2001:b28:f23f:f005::d", 8888)], -5: [("2001:67c:04e8:f004::d", 8888)] } PROXY_SECRET = bytes.fromhex( "c4f9faca9678e6bb48ad6c7e2ce5c0d24430645d554addeb55419e034da62721" + "d046eaab6e52ab14a95a443ecfb3463e79a05a66612adf9caeda8be9a80da698" + "6fb0a6ff387af84d88ef3a6413713e5c3377f6e1a3d47d99f5e0c56eece8f05c" + "54c490b079e31bef82ff0ee8f2b0a32756d249c5f21269816cb7061b265db212" ) SKIP_LEN = 8 PREKEY_LEN = 32 KEY_LEN = 32 IV_LEN = 16 HANDSHAKE_LEN = 64 TLS_HANDSHAKE_LEN = 1 + 2 + 2 + 512 PROTO_TAG_POS = 56 DC_IDX_POS = 60 PROTO_TAG_ABRIDGED = b"\xef\xef\xef\xef" PROTO_TAG_INTERMEDIATE = b"\xee\xee\xee\xee" PROTO_TAG_SECURE = b"\xdd\xdd\xdd\xdd" CBC_PADDING = 16 PADDING_FILLER = b"\x04\x00\x00\x00" MIN_MSG_LEN = 12 MAX_MSG_LEN = 2 ** 24 my_ip_info = {"ipv4": None, "ipv6": None} used_handshakes = collections.OrderedDict() disable_middle_proxy = False is_time_skewed = False fake_cert_len = random.randrange(1024, 4096) mask_host_cached_ip = None config = {} def init_config(): global config if len(sys.argv) < 2: conf_dict = runpy.run_module("config") elif len(sys.argv) == 2: conf_dict = runpy.run_path(sys.argv[1]) else: conf_dict = {} conf_dict["PORT"] = int(sys.argv[1]) secrets = sys.argv[2].split(",") conf_dict["USERS"] = {"user%d" % i: secrets[i].zfill(32) for i in range(len(secrets))} if len(sys.argv) > 3: conf_dict["AD_TAG"] = sys.argv[3] if len(sys.argv) > 4: conf_dict["TLS_DOMAIN"] = sys.argv[4] conf_dict["TLS_ONLY"] = True conf_dict["SECURE_ONLY"] = True conf_dict = {k: v for k, v in conf_dict.items() if k.isupper()} conf_dict.setdefault("PORT", 3256) conf_dict.setdefault("USERS", {"tg": "00000000000000000000000000000000"}) conf_dict["AD_TAG"] = bytes.fromhex(conf_dict.get("AD_TAG", "")) conf_dict.setdefault("USE_MIDDLE_PROXY", len(conf_dict["AD_TAG"]) == 16) conf_dict.setdefault("PREFER_IPV6", socket.has_ipv6) conf_dict.setdefault("FAST_MODE", True) conf_dict.setdefault("SECURE_ONLY", False) # allows to connect in tls mode only conf_dict.setdefault("TLS_ONLY", False) # accept incoming connections only with proxy protocol v1/v2, useful for nginx and haproxy conf_dict.setdefault("PROXY_PROTOCOL", False) # set the tls domain for the proxy, has an influence only on starting message conf_dict.setdefault("TLS_DOMAIN", "www.google.com") # enable proxying bad clients to some host conf_dict.setdefault("MASK", True) # the next host to forward bad clients conf_dict.setdefault("MASK_HOST", conf_dict["TLS_DOMAIN"]) # the next host's port to forward bad clients conf_dict.setdefault("MASK_PORT", 443) conf_dict.setdefault("USER_MAX_TCP_CONNS", {}) conf_dict.setdefault("USER_EXPIRATIONS", {}) for user in conf_dict["USER_EXPIRATIONS"]: expiration = datetime.datetime.strptime(conf_dict["USER_EXPIRATIONS"][user], "%d/%m/%Y") conf_dict["USER_EXPIRATIONS"][user] = expiration conf_dict.setdefault("USER_DATA_QUOTA", {}) conf_dict.setdefault("REPLAY_CHECK_LEN", 32768) conf_dict.setdefault("BLOCK_IF_FIRST_PKT_BAD", True) conf_dict.setdefault("STATS_PRINT_PERIOD", 600) conf_dict.setdefault("PROXY_INFO_UPDATE_PERIOD", 24*60*60) conf_dict.setdefault("GET_TIME_PERIOD", 10*60) conf_dict.setdefault("GET_CERT_LEN_PERIOD", random.randrange(4*60*60, 6*60*60)) conf_dict.setdefault("TO_CLT_BUFSIZE", (16384, 100, 131072)) conf_dict.setdefault("TO_TG_BUFSIZE", 65536) conf_dict.setdefault("CLIENT_KEEPALIVE", 10*60) conf_dict.setdefault("CLIENT_HANDSHAKE_TIMEOUT", random.randrange(5, 15)) conf_dict.setdefault("CLIENT_ACK_TIMEOUT", 5*60) # telegram servers connect timeout in seconds conf_dict.setdefault("TG_CONNECT_TIMEOUT", 10) # listen address for IPv4 conf_dict.setdefault("LISTEN_ADDR_IPV4", "0.0.0.0") # listen address for IPv6 conf_dict.setdefault("LISTEN_ADDR_IPV6", "::") # listen unix socket conf_dict.setdefault("LISTEN_UNIX_SOCK", "") # allow access to config by attributes config = type("config", (dict,), conf_dict)(conf_dict) def try_use_cryptography_module(): from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes from cryptography.hazmat.backends import default_backend class CryptographyEncryptorAdapter: __slots__ = ('encryptor', 'decryptor') def __init__(self, cipher): self.encryptor = cipher.encryptor() self.decryptor = cipher.decryptor() def encrypt(self, data): return self.encryptor.update(data) def decrypt(self, data): return self.decryptor.update(data) def create_aes_ctr(key, iv): iv_bytes = int.to_bytes(iv, 16, "big") cipher = Cipher(algorithms.AES(key), modes.CTR(iv_bytes), default_backend()) return CryptographyEncryptorAdapter(cipher) def create_aes_cbc(key, iv): cipher = Cipher(algorithms.AES(key), modes.CBC(iv), default_backend()) return CryptographyEncryptorAdapter(cipher) return create_aes_ctr, create_aes_cbc def try_use_pycrypto_or_pycryptodome_module(): from Crypto.Cipher import AES from Crypto.Util import Counter def create_aes_ctr(key, iv): ctr = Counter.new(128, initial_value=iv) return AES.new(key, AES.MODE_CTR, counter=ctr) def create_aes_cbc(key, iv): return AES.new(key, AES.MODE_CBC, iv) return create_aes_ctr, create_aes_cbc def use_slow_bundled_cryptography_module(): import pyaes msg = "To make the program a *lot* faster, please install cryptography module: " msg += "pip install cryptography\n" print(msg, flush=True, file=sys.stderr) class BundledEncryptorAdapter: __slots__ = ('mode', ) def __init__(self, mode): self.mode = mode def encrypt(self, data): encrypter = pyaes.Encrypter(self.mode, pyaes.PADDING_NONE) return encrypter.feed(data) + encrypter.feed() def decrypt(self, data): decrypter = pyaes.Decrypter(self.mode, pyaes.PADDING_NONE) return decrypter.feed(data) + decrypter.feed() def create_aes_ctr(key, iv): ctr = pyaes.Counter(iv) return pyaes.AESModeOfOperationCTR(key, ctr) def create_aes_cbc(key, iv): mode = pyaes.AESModeOfOperationCBC(key, iv) return BundledEncryptorAdapter(mode) return create_aes_ctr, create_aes_cbc try: create_aes_ctr, create_aes_cbc = try_use_cryptography_module() except ImportError: try: create_aes_ctr, create_aes_cbc = try_use_pycrypto_or_pycryptodome_module() except ImportError: create_aes_ctr, create_aes_cbc = use_slow_bundled_cryptography_module() def print_err(*params): print(*params, file=sys.stderr, flush=True) def init_stats(): global stats stats = {user: collections.Counter() for user in config.USERS} def update_stats(user, connects=0, curr_connects=0, octets=0, msgs=0): global stats if user not in stats: stats[user] = collections.Counter() stats[user].update(connects=connects, curr_connects=curr_connects, octets=octets, msgs=msgs) def get_curr_connects_count(): global stats all_connects = 0 for user, stat in stats.items(): all_connects += stat["curr_connects"] return all_connects def get_to_tg_bufsize(): if isinstance(config.TO_TG_BUFSIZE, int): return config.TO_TG_BUFSIZE low, margin, high = config.TO_TG_BUFSIZE return high if get_curr_connects_count() < margin else low def get_to_clt_bufsize(): if isinstance(config.TO_CLT_BUFSIZE, int): return config.TO_CLT_BUFSIZE low, margin, high = config.TO_CLT_BUFSIZE return high if get_curr_connects_count() < margin else low class MyRandom(random.Random): def __init__(self): super().__init__() key = bytes([random.randrange(256) for i in range(32)]) iv = random.randrange(256**16) self.encryptor = create_aes_ctr(key, iv) self.buffer = bytearray() def getrandbits(self, k): numbytes = (k + 7) // 8 return int.from_bytes(self.getrandbytes(numbytes), 'big') >> (numbytes * 8 - k) def getrandbytes(self, n): CHUNK_SIZE = 512 while n > len(self.buffer): data = int.to_bytes(super().getrandbits(CHUNK_SIZE*8), CHUNK_SIZE, "big") self.buffer += self.encryptor.encrypt(data) result = self.buffer[:n] self.buffer = self.buffer[n:] return bytes(result) myrandom = MyRandom() class LayeredStreamReaderBase: __slots__ = ("upstream", ) def __init__(self, upstream): self.upstream = upstream async def read(self, n): return await self.upstream.read(n) async def readexactly(self, n): return await self.upstream.readexactly(n) class LayeredStreamWriterBase: __slots__ = ("upstream", ) def __init__(self, upstream): self.upstream = upstream def write(self, data, extra={}): return self.upstream.write(data) def write_eof(self): return self.upstream.write_eof() async def drain(self): return await self.upstream.drain() def close(self): return self.upstream.close() def abort(self): return self.upstream.transport.abort() def get_extra_info(self, name): return self.upstream.get_extra_info(name) @property def transport(self): return self.upstream.transport class FakeTLSStreamReader(LayeredStreamReaderBase): __slots__ = ('buf', ) def __init__(self, upstream): self.upstream = upstream self.buf = bytearray() async def read(self, n, ignore_buf=False): if self.buf and not ignore_buf: data = self.buf self.buf = bytearray() return bytes(data) while True: tls_rec_type = await self.upstream.readexactly(1) if not tls_rec_type: return b"" if tls_rec_type not in [b"\x14", b"\x17"]: print_err("BUG: bad tls type %s in FakeTLSStreamReader" % tls_rec_type) return b"" version = await self.upstream.readexactly(2) if version != b"\x03\x03": print_err("BUG: unknown version %s in FakeTLSStreamReader" % version) return b"" data_len = int.from_bytes(await self.upstream.readexactly(2), "big") data = await self.upstream.readexactly(data_len) if tls_rec_type == b"\x14": continue return data async def readexactly(self, n): while len(self.buf) < n: tls_data = await self.read(1, ignore_buf=True) if not tls_data: return b"" self.buf += tls_data data, self.buf = self.buf[:n], self.buf[n:] return bytes(data) class FakeTLSStreamWriter(LayeredStreamWriterBase): __slots__ = () def __init__(self, upstream): self.upstream = upstream def write(self, data, extra={}): MAX_CHUNK_SIZE = 16384 + 24 for start in range(0, len(data), MAX_CHUNK_SIZE): end = min(start+MAX_CHUNK_SIZE, len(data)) self.upstream.write(b"\x17\x03\x03" + int.to_bytes(end-start, 2, "big")) self.upstream.write(data[start: end]) return len(data) class CryptoWrappedStreamReader(LayeredStreamReaderBase): __slots__ = ('decryptor', 'block_size', 'buf') def __init__(self, upstream, decryptor, block_size=1): self.upstream = upstream self.decryptor = decryptor self.block_size = block_size self.buf = bytearray() async def read(self, n): if self.buf: ret = bytes(self.buf) self.buf.clear() return ret else: data = await self.upstream.read(n) if not data: return b"" needed_till_full_block = -len(data) % self.block_size if needed_till_full_block > 0: data += self.upstream.readexactly(needed_till_full_block) return self.decryptor.decrypt(data) async def readexactly(self, n): if n > len(self.buf): to_read = n - len(self.buf) needed_till_full_block = -to_read % self.block_size to_read_block_aligned = to_read + needed_till_full_block data = await self.upstream.readexactly(to_read_block_aligned) self.buf += self.decryptor.decrypt(data) ret = bytes(self.buf[:n]) self.buf = self.buf[n:] return ret class CryptoWrappedStreamWriter(LayeredStreamWriterBase): __slots__ = ('encryptor', 'block_size') def __init__(self, upstream, encryptor, block_size=1): self.upstream = upstream self.encryptor = encryptor self.block_size = block_size def write(self, data, extra={}): if len(data) % self.block_size != 0: print_err("BUG: writing %d bytes not aligned to block size %d" % ( len(data), self.block_size)) return 0 q = self.encryptor.encrypt(data) return self.upstream.write(q) class MTProtoFrameStreamReader(LayeredStreamReaderBase): __slots__ = ('seq_no', ) def __init__(self, upstream, seq_no=0): self.upstream = upstream self.seq_no = seq_no async def read(self, buf_size): msg_len_bytes = await self.upstream.readexactly(4) msg_len = int.from_bytes(msg_len_bytes, "little") # skip paddings while msg_len == 4: msg_len_bytes = await self.upstream.readexactly(4) msg_len = int.from_bytes(msg_len_bytes, "little") len_is_bad = (msg_len % len(PADDING_FILLER) != 0) if not MIN_MSG_LEN <= msg_len <= MAX_MSG_LEN or len_is_bad: print_err("msg_len is bad, closing connection", msg_len) return b"" msg_seq_bytes = await self.upstream.readexactly(4) msg_seq = int.from_bytes(msg_seq_bytes, "little", signed=True) if msg_seq != self.seq_no: print_err("unexpected seq_no") return b"" self.seq_no += 1 data = await self.upstream.readexactly(msg_len - 4 - 4 - 4) checksum_bytes = await self.upstream.readexactly(4) checksum = int.from_bytes(checksum_bytes, "little") computed_checksum = binascii.crc32(msg_len_bytes + msg_seq_bytes + data) if computed_checksum != checksum: return b"" return data class MTProtoFrameStreamWriter(LayeredStreamWriterBase): __slots__ = ('seq_no', ) def __init__(self, upstream, seq_no=0): self.upstream = upstream self.seq_no = seq_no def write(self, msg, extra={}): len_bytes = int.to_bytes(len(msg) + 4 + 4 + 4, 4, "little") seq_bytes = int.to_bytes(self.seq_no, 4, "little", signed=True) self.seq_no += 1 msg_without_checksum = len_bytes + seq_bytes + msg checksum = int.to_bytes(binascii.crc32(msg_without_checksum), 4, "little") full_msg = msg_without_checksum + checksum padding = PADDING_FILLER * ((-len(full_msg) % CBC_PADDING) // len(PADDING_FILLER)) return self.upstream.write(full_msg + padding) class MTProtoCompactFrameStreamReader(LayeredStreamReaderBase): __slots__ = () async def read(self, buf_size): msg_len_bytes = await self.upstream.readexactly(1) msg_len = int.from_bytes(msg_len_bytes, "little") extra = {"QUICKACK_FLAG": False} if msg_len >= 0x80: extra["QUICKACK_FLAG"] = True msg_len -= 0x80 if msg_len == 0x7f: msg_len_bytes = await self.upstream.readexactly(3) msg_len = int.from_bytes(msg_len_bytes, "little") msg_len *= 4 data = await self.upstream.readexactly(msg_len) return data, extra class MTProtoCompactFrameStreamWriter(LayeredStreamWriterBase): __slots__ = () def write(self, data, extra={}): SMALL_PKT_BORDER = 0x7f LARGE_PKT_BORGER = 256 ** 3 if len(data) % 4 != 0: print_err("BUG: MTProtoFrameStreamWriter attempted to send msg with len", len(data)) return 0 if extra.get("SIMPLE_ACK"): return self.upstream.write(data[::-1]) len_div_four = len(data) // 4 if len_div_four < SMALL_PKT_BORDER: return self.upstream.write(bytes([len_div_four]) + data) elif len_div_four < LARGE_PKT_BORGER: return self.upstream.write(b'\x7f' + int.to_bytes(len_div_four, 3, 'little') + data) else: print_err("Attempted to send too large pkt len =", len(data)) return 0 class MTProtoIntermediateFrameStreamReader(LayeredStreamReaderBase): __slots__ = () async def read(self, buf_size): msg_len_bytes = await self.upstream.readexactly(4) msg_len = int.from_bytes(msg_len_bytes, "little") extra = {} if msg_len > 0x80000000: extra["QUICKACK_FLAG"] = True msg_len -= 0x80000000 data = await self.upstream.readexactly(msg_len) return data, extra class MTProtoIntermediateFrameStreamWriter(LayeredStreamWriterBase): __slots__ = () def write(self, data, extra={}): if extra.get("SIMPLE_ACK"): return self.upstream.write(data) else: return self.upstream.write(int.to_bytes(len(data), 4, 'little') + data) class MTProtoSecureIntermediateFrameStreamReader(LayeredStreamReaderBase): __slots__ = () async def read(self, buf_size): msg_len_bytes = await self.upstream.readexactly(4) msg_len = int.from_bytes(msg_len_bytes, "little") extra = {} if msg_len > 0x80000000: extra["QUICKACK_FLAG"] = True msg_len -= 0x80000000 data = await self.upstream.readexactly(msg_len) if msg_len % 4 != 0: cut_border = msg_len - (msg_len % 4) data = data[:cut_border] return data, extra class MTProtoSecureIntermediateFrameStreamWriter(LayeredStreamWriterBase): __slots__ = () def write(self, data, extra={}): MAX_PADDING_LEN = 4 if extra.get("SIMPLE_ACK"): # TODO: make this unpredictable return self.upstream.write(data) else: padding_len = myrandom.randrange(MAX_PADDING_LEN) padding = myrandom.getrandbytes(padding_len) padded_data_len_bytes = int.to_bytes(len(data) + padding_len, 4, 'little') return self.upstream.write(padded_data_len_bytes + data + padding) class ProxyReqStreamReader(LayeredStreamReaderBase): __slots__ = () async def read(self, msg): RPC_PROXY_ANS = b"\x0d\xda\x03\x44" RPC_CLOSE_EXT = b"\xa2\x34\xb6\x5e" RPC_SIMPLE_ACK = b"\x9b\x40\xac\x3b" data = await self.upstream.read(1) if len(data) < 4: return b"" ans_type = data[:4] if ans_type == RPC_CLOSE_EXT: return b"" if ans_type == RPC_PROXY_ANS: ans_flags, conn_id, conn_data = data[4:8], data[8:16], data[16:] return conn_data if ans_type == RPC_SIMPLE_ACK: conn_id, confirm = data[4:12], data[12:16] return confirm, {"SIMPLE_ACK": True} print_err("unknown rpc ans type:", ans_type) return b"" class ProxyReqStreamWriter(LayeredStreamWriterBase): __slots__ = ('remote_ip_port', 'our_ip_port', 'out_conn_id', 'proto_tag') def __init__(self, upstream, cl_ip, cl_port, my_ip, my_port, proto_tag): self.upstream = upstream if ":" not in cl_ip: self.remote_ip_port = b"\x00" * 10 + b"\xff\xff" self.remote_ip_port += socket.inet_pton(socket.AF_INET, cl_ip) else: self.remote_ip_port = socket.inet_pton(socket.AF_INET6, cl_ip) self.remote_ip_port += int.to_bytes(int(cl_port), 4, "little") if ":" not in my_ip: self.our_ip_port = b"\x00" * 10 + b"\xff\xff" self.our_ip_port += socket.inet_pton(socket.AF_INET, my_ip) else: self.our_ip_port = socket.inet_pton(socket.AF_INET6, my_ip) self.our_ip_port += int.to_bytes(my_port, 4, "little") self.out_conn_id = myrandom.getrandbytes(8) self.proto_tag = proto_tag def write(self, msg, extra={}): RPC_PROXY_REQ = b"\xee\xf1\xce\x36" EXTRA_SIZE = b"\x18\x00\x00\x00" PROXY_TAG = b"\xae\x26\x1e\xdb" FOUR_BYTES_ALIGNER = b"\x00\x00\x00" FLAG_NOT_ENCRYPTED = 0x2 FLAG_HAS_AD_TAG = 0x8 FLAG_MAGIC = 0x1000 FLAG_EXTMODE2 = 0x20000 FLAG_PAD = 0x8000000 FLAG_INTERMEDIATE = 0x20000000 FLAG_ABRIDGED = 0x40000000 FLAG_QUICKACK = 0x80000000 if len(msg) % 4 != 0: print_err("BUG: attempted to send msg with len %d" % len(msg)) return 0 flags = FLAG_HAS_AD_TAG | FLAG_MAGIC | FLAG_EXTMODE2 if self.proto_tag == PROTO_TAG_ABRIDGED: flags |= FLAG_ABRIDGED elif self.proto_tag == PROTO_TAG_INTERMEDIATE: flags |= FLAG_INTERMEDIATE elif self.proto_tag == PROTO_TAG_SECURE: flags |= FLAG_INTERMEDIATE | FLAG_PAD if extra.get("QUICKACK_FLAG"): flags |= FLAG_QUICKACK if msg.startswith(b"\x00" * 8): flags |= FLAG_NOT_ENCRYPTED full_msg = bytearray() full_msg += RPC_PROXY_REQ + int.to_bytes(flags, 4, "little") + self.out_conn_id full_msg += self.remote_ip_port + self.our_ip_port + EXTRA_SIZE + PROXY_TAG full_msg += bytes([len(config.AD_TAG)]) + config.AD_TAG + FOUR_BYTES_ALIGNER full_msg += msg return self.upstream.write(full_msg) def try_setsockopt(sock, level, option, value): try: sock.setsockopt(level, option, value) except OSError as E: pass def set_keepalive(sock, interval=40, attempts=5): sock.setsockopt(socket.SOL_SOCKET, socket.SO_KEEPALIVE, 1) if hasattr(socket, "TCP_KEEPIDLE"): try_setsockopt(sock, socket.IPPROTO_TCP, socket.TCP_KEEPIDLE, interval) if hasattr(socket, "TCP_KEEPINTVL"): try_setsockopt(sock, socket.IPPROTO_TCP, socket.TCP_KEEPINTVL, interval) if hasattr(socket, "TCP_KEEPCNT"): try_setsockopt(sock, socket.IPPROTO_TCP, socket.TCP_KEEPCNT, attempts) def set_ack_timeout(sock, timeout): if hasattr(socket, "TCP_USER_TIMEOUT"): try_setsockopt(sock, socket.IPPROTO_TCP, socket.TCP_USER_TIMEOUT, timeout*1000) def set_bufsizes(sock, recv_buf, send_buf): try_setsockopt(sock, socket.SOL_SOCKET, socket.SO_RCVBUF, recv_buf) try_setsockopt(sock, socket.SOL_SOCKET, socket.SO_SNDBUF, send_buf) def set_instant_rst(sock): INSTANT_RST = b"\x01\x00\x00\x00\x00\x00\x00\x00" if hasattr(socket, "SO_LINGER"): try_setsockopt(sock, socket.SOL_SOCKET, socket.SO_LINGER, INSTANT_RST) def gen_x25519_public_key(): # generates some number which has square root by modulo P P = 2**255 - 19 n = myrandom.randrange(P) return int.to_bytes((n*n) % P, length=32, byteorder="little") async def handle_bad_client(reader_clt, writer_clt, handshake): BUF_SIZE = 8192 CONNECT_TIMEOUT = 5 global mask_host_cached_ip if writer_clt.transport.is_closing(): return set_bufsizes(writer_clt.get_extra_info("socket"), BUF_SIZE, BUF_SIZE) if not config.MASK or handshake is None: while await reader_clt.read(BUF_SIZE): # just consume all the data pass return async def connect_reader_to_writer(reader, writer): try: while True: data = await reader.read(BUF_SIZE) if not data: if not writer.transport.is_closing(): writer.write_eof() await writer.drain() return writer.write(data) await writer.drain() except OSError: pass writer_srv = None try: host = mask_host_cached_ip or config.MASK_HOST task = asyncio.open_connection(host, config.MASK_PORT, limit=BUF_SIZE) reader_srv, writer_srv = await asyncio.wait_for(task, timeout=CONNECT_TIMEOUT) if not mask_host_cached_ip: mask_host_cached_ip = writer_srv.get_extra_info("peername")[0] writer_srv.write(handshake) await writer_srv.drain() srv_to_clt = connect_reader_to_writer(reader_srv, writer_clt) clt_to_srv = connect_reader_to_writer(reader_clt, writer_srv) task_srv_to_clt = asyncio.ensure_future(srv_to_clt) task_clt_to_srv = asyncio.ensure_future(clt_to_srv) await asyncio.wait([task_srv_to_clt, task_clt_to_srv], return_when=asyncio.FIRST_COMPLETED) task_srv_to_clt.cancel() task_clt_to_srv.cancel() if writer_clt.transport.is_closing(): return # if the server closed the connection with RST or FIN-RST, copy them to the client if not writer_srv.transport.is_closing(): # workaround for uvloop, it doesn't fire exceptions on write_eof sock = writer_srv.get_extra_info('socket') raw_sock = socket.socket(sock.family, sock.type, sock.proto, sock.fileno()) try: raw_sock.shutdown(socket.SHUT_WR) except OSError as E: set_instant_rst(writer_clt.get_extra_info("socket")) finally: raw_sock.detach() else: set_instant_rst(writer_clt.get_extra_info("socket")) except ConnectionRefusedError as E: return except (OSError, asyncio.TimeoutError) as E: return finally: if writer_srv is not None: writer_srv.transport.abort() async def handle_fake_tls_handshake(handshake, reader, writer, peer): global used_handshakes global fake_cert_len TIME_SKEW_MIN = -20 * 60 TIME_SKEW_MAX = 10 * 60 TLS_VERS = b"\x03\x03" TLS_CIPHERSUITE = b"\x13\x01" TLS_CHANGE_CIPHER = b"\x14" + TLS_VERS + b"\x00\x01\x01" TLS_APP_HTTP2_HDR = b"\x17" + TLS_VERS DIGEST_LEN = 32 DIGEST_POS = 11 SESSION_ID_LEN_POS = DIGEST_POS + DIGEST_LEN SESSION_ID_POS = SESSION_ID_LEN_POS + 1 tls_extensions = b"\x00\x2e" + b"\x00\x33\x00\x24" + b"\x00\x1d\x00\x20" tls_extensions += gen_x25519_public_key() + b"\x00\x2b\x00\x02\x03\x04" digest = handshake[DIGEST_POS: DIGEST_POS + DIGEST_LEN] if digest in used_handshakes: print_err("Active TLS fingerprinting detected from %s, handling it" % peer[0]) return False sess_id_len = handshake[SESSION_ID_LEN_POS] sess_id = handshake[SESSION_ID_POS: SESSION_ID_POS + sess_id_len] for user in config.USERS: secret = bytes.fromhex(config.USERS[user]) msg = handshake[:DIGEST_POS] + b"\x00"*DIGEST_LEN + handshake[DIGEST_POS+DIGEST_LEN:] computed_digest = hmac.new(secret, msg, digestmod=hashlib.sha256).digest() xored_digest = bytes(digest[i] ^ computed_digest[i] for i in range(DIGEST_LEN)) digest_good = xored_digest.startswith(b"\x00" * (DIGEST_LEN-4)) if not digest_good: continue timestamp = int.from_bytes(xored_digest[-4:], "little") client_time_is_ok = TIME_SKEW_MIN < time.time() - timestamp < TIME_SKEW_MAX client_time_is_small = timestamp < 60*60*24*1000 if not client_time_is_ok and not is_time_skewed and not client_time_is_small: err_msg = "Client with time skew detected from %s, can be a replay-attack. " % peer[0] err_msg += "Its clocks were %d minutes behind" % ((time.time() - timestamp) // 60) print_err(err_msg) continue http_data = myrandom.getrandbytes(fake_cert_len) srv_hello = TLS_VERS + b"\x00"*DIGEST_LEN + bytes([sess_id_len]) + sess_id srv_hello += TLS_CIPHERSUITE + b"\x00" + tls_extensions hello_pkt = b"\x16" + TLS_VERS + int.to_bytes(len(srv_hello) + 4, 2, "big") hello_pkt += b"\x02" + int.to_bytes(len(srv_hello), 3, "big") + srv_hello hello_pkt += TLS_CHANGE_CIPHER + TLS_APP_HTTP2_HDR hello_pkt += int.to_bytes(len(http_data), 2, "big") + http_data computed_digest = hmac.new(secret, msg=digest+hello_pkt, digestmod=hashlib.sha256).digest() hello_pkt = hello_pkt[:DIGEST_POS] + computed_digest + hello_pkt[DIGEST_POS+DIGEST_LEN:] writer.write(hello_pkt) await writer.drain() if config.REPLAY_CHECK_LEN > 0: while len(used_handshakes) >= config.REPLAY_CHECK_LEN: used_handshakes.popitem(last=False) used_handshakes[digest] = True reader = FakeTLSStreamReader(reader) writer = FakeTLSStreamWriter(writer) return reader, writer return False async def handle_proxy_protocol(reader, peer=None): PROXY_SIGNATURE = b"PROXY " PROXY_MIN_LEN = 6 PROXY_TCP4 = b"TCP4" PROXY_TCP6 = b"TCP6" PROXY_UNKNOWN = b"UNKNOWN" PROXY2_SIGNATURE = b"\x0d\x0a\x0d\x0a\x00\x0d\x0a\x51\x55\x49\x54\x0a" PROXY2_MIN_LEN = 16 PROXY2_AF_UNSPEC = 0x0 PROXY2_AF_INET = 0x1 PROXY2_AF_INET6 = 0x2 header = await reader.readexactly(PROXY_MIN_LEN) if header.startswith(PROXY_SIGNATURE): header += await reader.readuntil(b"\r\n") _, proxy_fam, *proxy_addr = header[:-2].split(b" ") if proxy_fam in (PROXY_TCP4, PROXY_TCP6): if len(proxy_addr) == 4: src_addr = proxy_addr[0].decode('ascii') src_port = proxy_addr[2].decode('ascii') return (src_addr, src_port) elif proxy_fam == PROXY_UNKNOWN: return peer return False header += await reader.readexactly(PROXY2_MIN_LEN - PROXY_MIN_LEN) if header.startswith(PROXY2_SIGNATURE): proxy_ver = header[12] if proxy_ver & 0xf0 != 0x20: return False proxy_len = int.from_bytes(header[14:16], "big") proxy_addr = await reader.readexactly(proxy_len) if proxy_ver == 0x21: proxy_fam = header[13] >> 4 if proxy_fam == PROXY2_AF_INET: if proxy_len >= (4 + 2)*2: src_addr = socket.inet_ntop(socket.AF_INET, proxy_addr[:4]) src_port = int.from_bytes(proxy_addr[8:10], "big") return (src_addr, src_port) elif proxy_fam == PROXY2_AF_INET6: if proxy_len >= (16 + 2)*2: src_addr = socket.inet_ntop(socket.AF_INET6, proxy_addr[:16]) src_port = int.from_bytes(proxy_addr[32:34], "big") return (src_addr, src_port) elif proxy_fam == PROXY2_AF_UNSPEC: return peer elif proxy_ver == 0x20: return peer return False async def handle_handshake(reader, writer): global used_handshakes TLS_START_BYTES = b"\x16\x03\x01\x02\x00\x01\x00\x01\xfc\x03\x03" if writer.transport.is_closing() or writer.get_extra_info("peername") is None: return False peer = writer.get_extra_info("peername")[:2] if config.PROXY_PROTOCOL: ip = peer[0] if peer else "unknown address" peer = await handle_proxy_protocol(reader, peer) if not peer: print_err("Client from %s sent bad proxy protocol headers" % ip) await handle_bad_client(reader, writer, None) return False is_tls_handshake = True handshake = b"" for expected_byte in TLS_START_BYTES: handshake += await reader.readexactly(1) if handshake[-1] != expected_byte: is_tls_handshake = False break if is_tls_handshake: handshake += await reader.readexactly(TLS_HANDSHAKE_LEN - len(handshake)) tls_handshake_result = await handle_fake_tls_handshake(handshake, reader, writer, peer) if not tls_handshake_result: await handle_bad_client(reader, writer, handshake) return False reader, writer = tls_handshake_result handshake = await reader.readexactly(HANDSHAKE_LEN) else: if config.TLS_ONLY: await handle_bad_client(reader, writer, handshake) return False handshake += await reader.readexactly(HANDSHAKE_LEN - len(handshake)) dec_prekey_and_iv = handshake[SKIP_LEN:SKIP_LEN+PREKEY_LEN+IV_LEN] dec_prekey, dec_iv = dec_prekey_and_iv[:PREKEY_LEN], dec_prekey_and_iv[PREKEY_LEN:] enc_prekey_and_iv = handshake[SKIP_LEN:SKIP_LEN+PREKEY_LEN+IV_LEN][::-1] enc_prekey, enc_iv = enc_prekey_and_iv[:PREKEY_LEN], enc_prekey_and_iv[PREKEY_LEN:] if dec_prekey_and_iv in used_handshakes: print_err("Active fingerprinting detected from %s, handling it" % peer[0]) await handle_bad_client(reader, writer, handshake) return False for user in config.USERS: secret = bytes.fromhex(config.USERS[user]) dec_key = hashlib.sha256(dec_prekey + secret).digest() decryptor = create_aes_ctr(key=dec_key, iv=int.from_bytes(dec_iv, "big")) enc_key = hashlib.sha256(enc_prekey + secret).digest() encryptor = create_aes_ctr(key=enc_key, iv=int.from_bytes(enc_iv, "big")) decrypted = decryptor.decrypt(handshake) proto_tag = decrypted[PROTO_TAG_POS:PROTO_TAG_POS+4] if proto_tag not in (PROTO_TAG_ABRIDGED, PROTO_TAG_INTERMEDIATE, PROTO_TAG_SECURE): continue if config.SECURE_ONLY and proto_tag != PROTO_TAG_SECURE: continue dc_idx = int.from_bytes(decrypted[DC_IDX_POS:DC_IDX_POS+2], "little", signed=True) if config.REPLAY_CHECK_LEN > 0: while len(used_handshakes) >= config.REPLAY_CHECK_LEN: used_handshakes.popitem(last=False) used_handshakes[dec_prekey_and_iv] = True reader = CryptoWrappedStreamReader(reader, decryptor) writer = CryptoWrappedStreamWriter(writer, encryptor) return reader, writer, proto_tag, user, dc_idx, enc_key + enc_iv, peer await handle_bad_client(reader, writer, handshake) return False async def open_connection_tryer(addr, port, limit, timeout, max_attempts=3): for attempt in range(max_attempts-1): try: task = asyncio.open_connection(addr, port, limit=limit) reader_tgt, writer_tgt = await asyncio.wait_for(task, timeout=timeout) return reader_tgt, writer_tgt except (OSError, asyncio.TimeoutError): continue task = asyncio.open_connection(addr, port, limit=limit) reader_tgt, writer_tgt = await asyncio.wait_for(task, timeout=timeout) return reader_tgt, writer_tgt async def do_direct_handshake(proto_tag, dc_idx, dec_key_and_iv=None): RESERVED_NONCE_FIRST_CHARS = [b"\xef"] RESERVED_NONCE_BEGININGS = [b"\x48\x45\x41\x44", b"\x50\x4F\x53\x54", b"\x47\x45\x54\x20", b"\xee\xee\xee\xee", b"\xdd\xdd\xdd\xdd", b"\x16\x03\x01\x02"] RESERVED_NONCE_CONTINUES = [b"\x00\x00\x00\x00"] global my_ip_info dc_idx = abs(dc_idx) - 1 if my_ip_info["ipv6"] and (config.PREFER_IPV6 or not my_ip_info["ipv4"]): if not 0 <= dc_idx < len(TG_DATACENTERS_V6): return False dc = TG_DATACENTERS_V6[dc_idx] else: if not 0 <= dc_idx < len(TG_DATACENTERS_V4): return False dc = TG_DATACENTERS_V4[dc_idx] try: reader_tgt, writer_tgt = await open_connection_tryer( dc, TG_DATACENTER_PORT, limit=get_to_clt_bufsize(), timeout=config.TG_CONNECT_TIMEOUT) except ConnectionRefusedError as E: print_err("Got connection refused while trying to connect to", dc, TG_DATACENTER_PORT) return False except (OSError, asyncio.TimeoutError) as E: print_err("Unable to connect to", dc, TG_DATACENTER_PORT) return False set_keepalive(writer_tgt.get_extra_info("socket")) set_bufsizes(writer_tgt.get_extra_info("socket"), get_to_clt_bufsize(), get_to_tg_bufsize()) while True: rnd = bytearray(myrandom.getrandbytes(HANDSHAKE_LEN)) if rnd[:1] in RESERVED_NONCE_FIRST_CHARS: continue if rnd[:4] in RESERVED_NONCE_BEGININGS: continue if rnd[4:8] in RESERVED_NONCE_CONTINUES: continue break rnd[PROTO_TAG_POS:PROTO_TAG_POS+4] = proto_tag if dec_key_and_iv: rnd[SKIP_LEN:SKIP_LEN+KEY_LEN+IV_LEN] = dec_key_and_iv[::-1] rnd = bytes(rnd) dec_key_and_iv = rnd[SKIP_LEN:SKIP_LEN+KEY_LEN+IV_LEN][::-1] dec_key, dec_iv = dec_key_and_iv[:KEY_LEN], dec_key_and_iv[KEY_LEN:] decryptor = create_aes_ctr(key=dec_key, iv=int.from_bytes(dec_iv, "big")) enc_key_and_iv = rnd[SKIP_LEN:SKIP_LEN+KEY_LEN+IV_LEN] enc_key, enc_iv = enc_key_and_iv[:KEY_LEN], enc_key_and_iv[KEY_LEN:] encryptor = create_aes_ctr(key=enc_key, iv=int.from_bytes(enc_iv, "big")) rnd_enc = rnd[:PROTO_TAG_POS] + encryptor.encrypt(rnd)[PROTO_TAG_POS:] writer_tgt.write(rnd_enc) await writer_tgt.drain() reader_tgt = CryptoWrappedStreamReader(reader_tgt, decryptor) writer_tgt = CryptoWrappedStreamWriter(writer_tgt, encryptor) return reader_tgt, writer_tgt def get_middleproxy_aes_key_and_iv(nonce_srv, nonce_clt, clt_ts, srv_ip, clt_port, purpose, clt_ip, srv_port, middleproxy_secret, clt_ipv6=None, srv_ipv6=None): EMPTY_IP = b"\x00\x00\x00\x00" if not clt_ip or not srv_ip: clt_ip = EMPTY_IP srv_ip = EMPTY_IP s = bytearray() s += nonce_srv + nonce_clt + clt_ts + srv_ip + clt_port + purpose + clt_ip + srv_port s += middleproxy_secret + nonce_srv if clt_ipv6 and srv_ipv6: s += clt_ipv6 + srv_ipv6 s += nonce_clt md5_sum = hashlib.md5(s[1:]).digest() sha1_sum = hashlib.sha1(s).digest() key = md5_sum[:12] + sha1_sum iv = hashlib.md5(s[2:]).digest() return key, iv async def do_middleproxy_handshake(proto_tag, dc_idx, cl_ip, cl_port): START_SEQ_NO = -2 NONCE_LEN = 16 RPC_NONCE = b"\xaa\x87\xcb\x7a" RPC_HANDSHAKE = b"\xf5\xee\x82\x76" CRYPTO_AES = b"\x01\x00\x00\x00" RPC_NONCE_ANS_LEN = 32 RPC_HANDSHAKE_ANS_LEN = 32 RPC_FLAGS = b"\x00\x00\x00\x00" global my_ip_info use_ipv6_tg = (my_ip_info["ipv6"] and (config.PREFER_IPV6 or not my_ip_info["ipv4"])) use_ipv6_clt = (":" in cl_ip) if use_ipv6_tg: if dc_idx not in TG_MIDDLE_PROXIES_V6: return False addr, port = myrandom.choice(TG_MIDDLE_PROXIES_V6[dc_idx]) else: if dc_idx not in TG_MIDDLE_PROXIES_V4: return False addr, port = myrandom.choice(TG_MIDDLE_PROXIES_V4[dc_idx]) try: reader_tgt, writer_tgt = await open_connection_tryer(addr, port, limit=get_to_clt_bufsize(), timeout=config.TG_CONNECT_TIMEOUT) except ConnectionRefusedError as E: print_err("The Telegram server %d (%s %s) is refusing connections" % (dc_idx, addr, port)) return False except (OSError, asyncio.TimeoutError) as E: print_err("Unable to connect to the Telegram server %d (%s %s)" % (dc_idx, addr, port)) return False set_keepalive(writer_tgt.get_extra_info("socket")) set_bufsizes(writer_tgt.get_extra_info("socket"), get_to_clt_bufsize(), get_to_tg_bufsize()) writer_tgt = MTProtoFrameStreamWriter(writer_tgt, START_SEQ_NO) key_selector = PROXY_SECRET[:4] crypto_ts = int.to_bytes(int(time.time()) % (256**4), 4, "little") nonce = myrandom.getrandbytes(NONCE_LEN) msg = RPC_NONCE + key_selector + CRYPTO_AES + crypto_ts + nonce writer_tgt.write(msg) await writer_tgt.drain() old_reader = reader_tgt reader_tgt = MTProtoFrameStreamReader(reader_tgt, START_SEQ_NO) ans = await reader_tgt.read(get_to_clt_bufsize()) if len(ans) != RPC_NONCE_ANS_LEN: return False rpc_type, rpc_key_selector, rpc_schema, rpc_crypto_ts, rpc_nonce = ( ans[:4], ans[4:8], ans[8:12], ans[12:16], ans[16:32] ) if rpc_type != RPC_NONCE or rpc_key_selector != key_selector or rpc_schema != CRYPTO_AES: return False tg_ip, tg_port = writer_tgt.upstream.get_extra_info('peername')[:2] my_ip, my_port = writer_tgt.upstream.get_extra_info('sockname')[:2] if not use_ipv6_tg: if my_ip_info["ipv4"]: my_ip = my_ip_info["ipv4"] tg_ip_bytes = socket.inet_pton(socket.AF_INET, tg_ip)[::-1] my_ip_bytes = socket.inet_pton(socket.AF_INET, my_ip)[::-1] tg_ipv6_bytes = None my_ipv6_bytes = None else: if my_ip_info["ipv6"]: my_ip = my_ip_info["ipv6"] tg_ip_bytes = None my_ip_bytes = None tg_ipv6_bytes = socket.inet_pton(socket.AF_INET6, tg_ip) my_ipv6_bytes = socket.inet_pton(socket.AF_INET6, my_ip) tg_port_bytes = int.to_bytes(tg_port, 2, "little") my_port_bytes = int.to_bytes(my_port, 2, "little") enc_key, enc_iv = get_middleproxy_aes_key_and_iv( nonce_srv=rpc_nonce, nonce_clt=nonce, clt_ts=crypto_ts, srv_ip=tg_ip_bytes, clt_port=my_port_bytes, purpose=b"CLIENT", clt_ip=my_ip_bytes, srv_port=tg_port_bytes, middleproxy_secret=PROXY_SECRET, clt_ipv6=my_ipv6_bytes, srv_ipv6=tg_ipv6_bytes) dec_key, dec_iv = get_middleproxy_aes_key_and_iv( nonce_srv=rpc_nonce, nonce_clt=nonce, clt_ts=crypto_ts, srv_ip=tg_ip_bytes, clt_port=my_port_bytes, purpose=b"SERVER", clt_ip=my_ip_bytes, srv_port=tg_port_bytes, middleproxy_secret=PROXY_SECRET, clt_ipv6=my_ipv6_bytes, srv_ipv6=tg_ipv6_bytes) encryptor = create_aes_cbc(key=enc_key, iv=enc_iv) decryptor = create_aes_cbc(key=dec_key, iv=dec_iv) SENDER_PID = b"IPIPPRPDTIME" PEER_PID = b"IPIPPRPDTIME" handshake = RPC_HANDSHAKE + RPC_FLAGS + SENDER_PID + PEER_PID writer_tgt.upstream = CryptoWrappedStreamWriter(writer_tgt.upstream, encryptor, block_size=16) writer_tgt.write(handshake) await writer_tgt.drain() reader_tgt.upstream = CryptoWrappedStreamReader(reader_tgt.upstream, decryptor, block_size=16) handshake_ans = await reader_tgt.read(1) if len(handshake_ans) != RPC_HANDSHAKE_ANS_LEN: return False handshake_type, handshake_flags, handshake_sender_pid, handshake_peer_pid = ( handshake_ans[:4], handshake_ans[4:8], handshake_ans[8:20], handshake_ans[20:32]) if handshake_type != RPC_HANDSHAKE or handshake_peer_pid != SENDER_PID: return False writer_tgt = ProxyReqStreamWriter(writer_tgt, cl_ip, cl_port, my_ip, my_port, proto_tag) reader_tgt = ProxyReqStreamReader(reader_tgt) return reader_tgt, writer_tgt async def handle_client(reader_clt, writer_clt): set_keepalive(writer_clt.get_extra_info("socket"), config.CLIENT_KEEPALIVE, attempts=3) set_ack_timeout(writer_clt.get_extra_info("socket"), config.CLIENT_ACK_TIMEOUT) set_bufsizes(writer_clt.get_extra_info("socket"), get_to_tg_bufsize(), get_to_clt_bufsize()) try: clt_data = await asyncio.wait_for(handle_handshake(reader_clt, writer_clt), timeout=config.CLIENT_HANDSHAKE_TIMEOUT) except asyncio.TimeoutError: return if not clt_data: return reader_clt, writer_clt, proto_tag, user, dc_idx, enc_key_and_iv, peer = clt_data cl_ip, cl_port = peer update_stats(user, connects=1) connect_directly = (not config.USE_MIDDLE_PROXY or disable_middle_proxy) if connect_directly: if config.FAST_MODE: tg_data = await do_direct_handshake(proto_tag, dc_idx, dec_key_and_iv=enc_key_and_iv) else: tg_data = await do_direct_handshake(proto_tag, dc_idx) else: tg_data = await do_middleproxy_handshake(proto_tag, dc_idx, cl_ip, cl_port) if not tg_data: return reader_tg, writer_tg = tg_data if connect_directly and config.FAST_MODE: class FakeEncryptor: def encrypt(self, data): return data class FakeDecryptor: def decrypt(self, data): return data reader_tg.decryptor = FakeDecryptor() writer_clt.encryptor = FakeEncryptor() if not connect_directly: if proto_tag == PROTO_TAG_ABRIDGED: reader_clt = MTProtoCompactFrameStreamReader(reader_clt) writer_clt = MTProtoCompactFrameStreamWriter(writer_clt) elif proto_tag == PROTO_TAG_INTERMEDIATE: reader_clt = MTProtoIntermediateFrameStreamReader(reader_clt) writer_clt = MTProtoIntermediateFrameStreamWriter(writer_clt) elif proto_tag == PROTO_TAG_SECURE: reader_clt = MTProtoSecureIntermediateFrameStreamReader(reader_clt) writer_clt = MTProtoSecureIntermediateFrameStreamWriter(writer_clt) else: return async def connect_reader_to_writer(rd, wr, user, rd_buf_size, block_if_first_pkt_bad=False): is_first_pkt = True try: while True: data = await rd.read(rd_buf_size) if isinstance(data, tuple): data, extra = data else: extra = {} if is_first_pkt: is_first_pkt = False ERR_PKT_DATA = b'l\xfe\xff\xff' if block_if_first_pkt_bad and data == ERR_PKT_DATA: print_err("Active fingerprinting detected from %s, dropping it" % cl_ip) wr.write_eof() await wr.drain() return if not data: wr.write_eof() await wr.drain() return else: update_stats(user, octets=len(data), msgs=1) wr.write(data, extra) await wr.drain() except (OSError, asyncio.streams.IncompleteReadError) as e: pass tg_to_clt = connect_reader_to_writer(reader_tg, writer_clt, user, get_to_clt_bufsize(), block_if_first_pkt_bad=config.BLOCK_IF_FIRST_PKT_BAD) clt_to_tg = connect_reader_to_writer(reader_clt, writer_tg, user, get_to_tg_bufsize()) task_tg_to_clt = asyncio.ensure_future(tg_to_clt) task_clt_to_tg = asyncio.ensure_future(clt_to_tg) update_stats(user, curr_connects=1) tcp_limit_hit = ( user in config.USER_MAX_TCP_CONNS and stats[user]["curr_connects"] > config.USER_MAX_TCP_CONNS[user] ) user_expired = ( user in config.USER_EXPIRATIONS and datetime.datetime.now() > config.USER_EXPIRATIONS[user] ) user_data_quota_hit = ( user in config.USER_DATA_QUOTA and stats[user]["octets"] > config.USER_DATA_QUOTA[user] ) if (not tcp_limit_hit) and (not user_expired) and (not user_data_quota_hit): await asyncio.wait([task_tg_to_clt, task_clt_to_tg], return_when=asyncio.FIRST_COMPLETED) update_stats(user, curr_connects=-1) task_tg_to_clt.cancel() task_clt_to_tg.cancel() writer_tg.transport.abort() async def handle_client_wrapper(reader, writer): try: await handle_client(reader, writer) except (asyncio.IncompleteReadError, asyncio.CancelledError): pass except (ConnectionResetError, TimeoutError): pass except Exception: traceback.print_exc() finally: writer.transport.abort() async def stats_printer(): global stats while True: await asyncio.sleep(config.STATS_PRINT_PERIOD) print("Stats for", time.strftime("%d.%m.%Y %H:%M:%S")) for user, stat in stats.items(): print("%s: %d connects (%d current), %.2f MB, %d msgs" % ( user, stat["connects"], stat["curr_connects"], stat["octets"] / 1000000, stat["msgs"])) print(flush=True) async def make_https_req(url, host="core.telegram.org"): SSL_PORT = 443 url_data = urllib.parse.urlparse(url) HTTP_REQ_TEMPLATE = "\r\n".join(["GET %s HTTP/1.1", "Host: %s", "Connection: close"]) + "\r\n\r\n" reader, writer = await asyncio.open_connection(url_data.netloc, SSL_PORT, ssl=True) req = HTTP_REQ_TEMPLATE % (urllib.parse.quote(url_data.path), host) writer.write(req.encode("utf8")) data = await reader.read() writer.close() headers, body = data.split(b"\r\n\r\n", 1) return headers, body def gen_tls_client_hello_msg(server_name): msg = bytearray() msg += b"\x16\x03\x01\x02\x00\x01\x00\x01\xfc\x03\x03" + myrandom.getrandbytes(32) msg += b"\x20" + myrandom.getrandbytes(32) msg += b"\x00\x22\x4a\x4a\x13\x01\x13\x02\x13\x03\xc0\x2b\xc0\x2f\xc0\x2c\xc0\x30\xcc\xa9" msg += b"\xcc\xa8\xc0\x13\xc0\x14\x00\x9c\x00\x9d\x00\x2f\x00\x35\x00\x0a\x01\x00\x01\x91" msg += b"\xda\xda\x00\x00\x00\x00" msg += int.to_bytes(len(server_name) + 5, 2, "big") msg += int.to_bytes(len(server_name) + 3, 2, "big") + b"\x00" msg += int.to_bytes(len(server_name), 2, "big") + server_name.encode("ascii") msg += b"\x00\x17\x00\x00\xff\x01\x00\x01\x00\x00\x0a\x00\x0a\x00\x08\xaa\xaa\x00\x1d\x00" msg += b"\x17\x00\x18\x00\x0b\x00\x02\x01\x00\x00\x23\x00\x00\x00\x10\x00\x0e\x00\x0c\x02" msg += b"\x68\x32\x08\x68\x74\x74\x70\x2f\x31\x2e\x31\x00\x05\x00\x05\x01\x00\x00\x00\x00" msg += b"\x00\x0d\x00\x14\x00\x12\x04\x03\x08\x04\x04\x01\x05\x03\x08\x05\x05\x01\x08\x06" msg += b"\x06\x01\x02\x01\x00\x12\x00\x00\x00\x33\x00\x2b\x00\x29\xaa\xaa\x00\x01\x00\x00" msg += b"\x1d\x00\x20" + gen_x25519_public_key() msg += b"\x00\x2d\x00\x02\x01\x01\x00\x2b\x00\x0b\x0a\xba\xba\x03\x04\x03\x03\x03\x02\x03" msg += b"\x01\x00\x1b\x00\x03\x02\x00\x02\x3a\x3a\x00\x01\x00\x00\x15" msg += int.to_bytes(517 - len(msg) - 2, 2, "big") msg += b"\x00" * (517 - len(msg)) return bytes(msg) async def get_encrypted_cert(host, port, server_name): async def get_tls_record(reader): try: record_type = (await reader.readexactly(1))[0] tls_version = await reader.readexactly(2) if tls_version != b"\x03\x03": return 0, b"" record_len = int.from_bytes(await reader.readexactly(2), "big") record = await reader.readexactly(record_len) return record_type, record except asyncio.IncompleteReadError: return 0, b"" reader, writer = await asyncio.open_connection(host, port) writer.write(gen_tls_client_hello_msg(server_name)) await writer.drain() record1_type, record1 = await get_tls_record(reader) if record1_type != 22: return b"" record2_type, record2 = await get_tls_record(reader) if record2_type != 20: return b"" record3_type, record3 = await get_tls_record(reader) if record3_type != 23: return b"" return record3 async def get_mask_host_cert_len(): global fake_cert_len GET_CERT_TIMEOUT = 10 MASK_ENABLING_CHECK_PERIOD = 60 while True: try: if not config.MASK: await asyncio.sleep(MASK_ENABLING_CHECK_PERIOD) continue task = get_encrypted_cert(config.MASK_HOST, config.MASK_PORT, config.TLS_DOMAIN) cert = await asyncio.wait_for(task, timeout=GET_CERT_TIMEOUT) if cert: if len(cert) != fake_cert_len: fake_cert_len = len(cert) else: print_err("The MASK_HOST %s is not TLS 1.3 host, this is not recommended" % config.MASK_HOST) except ConnectionRefusedError: print_err("The MASK_HOST %s is refusing connections, this is not recommended" % config.MASK_HOST) except (TimeoutError, asyncio.TimeoutError): print_err("Got timeout while getting TLS handshake from MASK_HOST %s" % config.MASK_HOST) except Exception as E: print_err("Failed to connect to MASK_HOST %s: %s" % ( config.MASK_HOST, E)) await asyncio.sleep(config.GET_CERT_LEN_PERIOD) async def get_srv_time(): TIME_SYNC_ADDR = "https://core.telegram.org/getProxySecret" MAX_TIME_SKEW = 30 global disable_middle_proxy global is_time_skewed want_to_reenable_advertising = False while True: try: headers, secret = await make_https_req(TIME_SYNC_ADDR) for line in headers.split(b"\r\n"): if not line.startswith(b"Date: "): continue line = line[len("Date: "):].decode() srv_time = datetime.datetime.strptime(line, "%a, %d %b %Y %H:%M:%S %Z") now_time = datetime.datetime.utcnow() is_time_skewed = (now_time-srv_time).total_seconds() > MAX_TIME_SKEW if is_time_skewed and config.USE_MIDDLE_PROXY and not disable_middle_proxy: print_err("Time skew detected, please set the clock") print_err("Server time:", srv_time, "your time:", now_time) print_err("Disabling advertising to continue serving") print_err("Putting down the shields against replay attacks") disable_middle_proxy = True want_to_reenable_advertising = True elif not is_time_skewed and want_to_reenable_advertising: print_err("Time is ok, reenabling advertising") disable_middle_proxy = False want_to_reenable_advertising = False except Exception as E: print_err("Error getting server time", E) await asyncio.sleep(config.GET_TIME_PERIOD) async def clear_ip_resolving_cache(): global mask_host_cached_ip min_sleep = myrandom.randrange(60 - 10, 60 + 10) max_sleep = myrandom.randrange(120 - 10, 120 + 10) while True: mask_host_cached_ip = None await asyncio.sleep(myrandom.randrange(min_sleep, max_sleep)) async def update_middle_proxy_info(): async def get_new_proxies(url): PROXY_REGEXP = re.compile(r"proxy_for\s+(-?\d+)\s+(.+):(\d+)\s*;") ans = {} headers, body = await make_https_req(url) fields = PROXY_REGEXP.findall(body.decode("utf8")) if fields: for dc_idx, host, port in fields: if host.startswith("[") and host.endswith("]"): host = host[1:-1] dc_idx, port = int(dc_idx), int(port) if dc_idx not in ans: ans[dc_idx] = [(host, port)] else: ans[dc_idx].append((host, port)) return ans PROXY_INFO_ADDR = "https://core.telegram.org/getProxyConfig" PROXY_INFO_ADDR_V6 = "https://core.telegram.org/getProxyConfigV6" PROXY_SECRET_ADDR = "https://core.telegram.org/getProxySecret" global TG_MIDDLE_PROXIES_V4 global TG_MIDDLE_PROXIES_V6 global PROXY_SECRET while True: try: v4_proxies = await get_new_proxies(PROXY_INFO_ADDR) if not v4_proxies: raise Exception("no proxy data") TG_MIDDLE_PROXIES_V4 = v4_proxies except Exception as E: print_err("Error updating middle proxy list:", E) try: v6_proxies = await get_new_proxies(PROXY_INFO_ADDR_V6) if not v6_proxies: raise Exception("no proxy data (ipv6)") TG_MIDDLE_PROXIES_V6 = v6_proxies except Exception as E: print_err("Error updating middle proxy list for IPv6:", E) try: headers, secret = await make_https_req(PROXY_SECRET_ADDR) if not secret: raise Exception("no secret") if secret != PROXY_SECRET: PROXY_SECRET = secret print_err("Middle proxy secret updated") except Exception as E: print_err("Error updating middle proxy secret, using old", E) await asyncio.sleep(config.PROXY_INFO_UPDATE_PERIOD) def init_ip_info(): global my_ip_info global disable_middle_proxy def get_ip_from_url(url): TIMEOUT = 5 try: with urllib.request.urlopen(url, timeout=TIMEOUT) as f: if f.status != 200: raise Exception("Invalid status code") return f.read().decode().strip() except Exception: return None IPV4_URL1 = "http://v4.ident.me/" IPV4_URL2 = "http://ipv4.icanhazip.com/" IPV6_URL1 = "http://v6.ident.me/" IPV6_URL2 = "http://ipv6.icanhazip.com/" my_ip_info["ipv4"] = get_ip_from_url(IPV4_URL1) or get_ip_from_url(IPV4_URL2) my_ip_info["ipv6"] = get_ip_from_url(IPV6_URL1) or get_ip_from_url(IPV6_URL2) if my_ip_info["ipv6"] and (config.PREFER_IPV6 or not my_ip_info["ipv4"]): print_err("IPv6 found, using it for external communication") if config.USE_MIDDLE_PROXY: if not my_ip_info["ipv4"] and not my_ip_info["ipv6"]: print_err("Failed to determine your ip, advertising disabled") disable_middle_proxy = True def print_tg_info(): global my_ip_info print_default_warning = False if config.PORT == 3256: print("The default port 3256 is used, this is not recommended", flush=True) if config.TLS_ONLY: print("Since you have TLS only mode enabled the best port is 443", flush=True) print_default_warning = True ip_addrs = [ip for ip in my_ip_info.values() if ip] if not ip_addrs: ip_addrs = ["YOUR_IP"] for user, secret in sorted(config.USERS.items(), key=lambda x: x[0]): for ip in ip_addrs: if not config.TLS_ONLY: if not config.SECURE_ONLY: params = {"server": ip, "port": config.PORT, "secret": secret} params_encodeded = urllib.parse.urlencode(params, safe=':') print("{}: tg://proxy?{}".format(user, params_encodeded), flush=True) params = {"server": ip, "port": config.PORT, "secret": "dd" + secret} params_encodeded = urllib.parse.urlencode(params, safe=':') print("{}: tg://proxy?{}".format(user, params_encodeded), flush=True) tls_secret = "ee" + secret + config.TLS_DOMAIN.encode().hex() params = {"server": ip, "port": config.PORT, "secret": tls_secret} params_encodeded = urllib.parse.urlencode(params, safe=':') print("{}: tg://proxy?{} (new)".format(user, params_encodeded), flush=True) if secret in ["00000000000000000000000000000000", "0123456789abcdef0123456789abcdef"]: msg = "The default secret {} is used, this is not recommended".format(secret) print(msg, flush=True) random_secret = "".join(myrandom.choice("0123456789abcdef") for i in range(32)) print("You can change it to this random secret:", random_secret, flush=True) print_default_warning = True if config.TLS_DOMAIN == "www.google.com": print("The default TLS_DOMAIN www.google.com is used, this is not recommended", flush=True) msg = "You should use random existing domain instead, bad clients are proxied there" print(msg, flush=True) print_default_warning = True if print_default_warning: print_err("Warning: one or more default settings detected") def setup_files_limit(): try: import resource soft_fd_limit, hard_fd_limit = resource.getrlimit(resource.RLIMIT_NOFILE) resource.setrlimit(resource.RLIMIT_NOFILE, (hard_fd_limit, hard_fd_limit)) except (ValueError, OSError): print("Failed to increase the limit of opened files", flush=True, file=sys.stderr) except ImportError: pass def setup_signals(): if hasattr(signal, 'SIGUSR1'): def debug_signal(signum, frame): import pdb pdb.set_trace() signal.signal(signal.SIGUSR1, debug_signal) if hasattr(signal, 'SIGUSR2'): def reload_signal(signum, frame): init_config() print("Config reloaded", flush=True, file=sys.stderr) print_tg_info() signal.signal(signal.SIGUSR2, reload_signal) def try_setup_uvloop(): try: import uvloop asyncio.set_event_loop_policy(uvloop.EventLoopPolicy()) print_err("Found uvloop, using it for optimal performance") except ImportError: pass def remove_unix_socket(path): try: if stat.S_ISSOCK(os.stat(path).st_mode): os.unlink(path) except (FileNotFoundError, NotADirectoryError): pass def loop_exception_handler(loop, context): exception = context.get("exception") transport = context.get("transport") if exception: if isinstance(exception, TimeoutError): if transport: transport.abort() return if isinstance(exception, OSError): IGNORE_ERRNO = { 10038, 121, } FORCE_CLOSE_ERRNO = { 113, } if exception.errno in IGNORE_ERRNO: return elif exception.errno in FORCE_CLOSE_ERRNO: if transport: transport.abort() return loop.default_exception_handler(context) def main(): setup_files_limit() setup_signals() try_setup_uvloop() init_stats() if sys.platform == "win32": loop = asyncio.ProactorEventLoop() asyncio.set_event_loop(loop) loop = asyncio.get_event_loop() loop.set_exception_handler(loop_exception_handler) stats_printer_task = asyncio.Task(stats_printer()) asyncio.ensure_future(stats_printer_task) if config.USE_MIDDLE_PROXY: middle_proxy_updater_task = asyncio.Task(update_middle_proxy_info()) asyncio.ensure_future(middle_proxy_updater_task) if config.GET_TIME_PERIOD: time_get_task = asyncio.Task(get_srv_time()) asyncio.ensure_future(time_get_task) get_cert_len_task = asyncio.Task(get_mask_host_cert_len()) asyncio.ensure_future(get_cert_len_task) clear_resolving_cache_task = asyncio.Task(clear_ip_resolving_cache()) asyncio.ensure_future(clear_resolving_cache_task) reuse_port = hasattr(socket, "SO_REUSEPORT") has_unix = hasattr(socket, "AF_UNIX") servers = [] if config.LISTEN_ADDR_IPV4: task = asyncio.start_server(handle_client_wrapper, config.LISTEN_ADDR_IPV4, config.PORT, limit=get_to_tg_bufsize(), reuse_port=reuse_port, loop=loop) servers.append(loop.run_until_complete(task)) if config.LISTEN_ADDR_IPV6 and socket.has_ipv6: task = asyncio.start_server(handle_client_wrapper, config.LISTEN_ADDR_IPV6, config.PORT, limit=get_to_tg_bufsize(), reuse_port=reuse_port, loop=loop) servers.append(loop.run_until_complete(task)) if config.LISTEN_UNIX_SOCK and has_unix: remove_unix_socket(config.LISTEN_UNIX_SOCK) task = asyncio.start_unix_server(handle_client_wrapper, config.LISTEN_UNIX_SOCK, limit=get_to_tg_bufsize(), loop=loop) servers.append(loop.run_until_complete(task)) os.chmod(config.LISTEN_UNIX_SOCK, 0o666) try: loop.run_forever() except KeyboardInterrupt: pass for task in asyncio.Task.all_tasks(): task.cancel() for server in servers: server.close() loop.run_until_complete(server.wait_closed()) if config.LISTEN_UNIX_SOCK and has_unix: remove_unix_socket(config.LISTEN_UNIX_SOCK) loop.close() if __name__ == "__main__": init_config() init_ip_info() print_tg_info() main()

true

f7fc221d7bb3afbcfe4799248821c092bb9c922e

1,296

py

Python

pilitgui2/api/crud/crud_show.py

skypanther/clc

c2a6b8586f0cae1143ffada8c68e24b82753ba47

[ "MIT" ]

2

2017-02-18T23:08:52.000Z

2017-03-30T14:23:19.000Z

pilitgui2/api/crud/crud_show.py

skypanther/clc

c2a6b8586f0cae1143ffada8c68e24b82753ba47

[ "MIT" ]

null

pilitgui2/api/crud/crud_show.py

skypanther/clc

c2a6b8586f0cae1143ffada8c68e24b82753ba47

[ "MIT" ]

null

from datetime import datetime from typing import Any, Dict, List, Union from fastapi.encoders import jsonable_encoder from sqlalchemy.orm import Session from .crud_base import CRUDBase from models import Show from schemas.shows import ShowCreate, ShowUpdate, ShowDelete class CRUDShow(CRUDBase[Show, ShowCreate, ShowUpdate, ShowDelete]): def get_shows(self, db: Session) -> List[Show]: # return db.query(self.model).all() return super().get_multi(db, skip=0, limit=1000) def get_show_by_id(self, db: Session, *, show_id: int) -> List[Show]: return super().get(db, id=show_id) def create_show(self, db: Session, *, show_to_create: ShowCreate) -> Show: return super().create(db, show_to_create) def update_show( self, db: Session, *, show_obj: Show, updated_show_obj: Union[ShowUpdate, Dict[str, Any]] ) -> Show: if isinstance(updated_show_obj, ShowUpdate): updated_show_obj.edit_date = datetime.utcnow() else: updated_show_obj["edit_date"] = datetime.utcnow() return super().update(db, show_obj, updated_show_obj) def remove(self, db: Session, *, show_id: int) -> Show: return super().remove(db, id=show_id) crud_show = CRUDShow(Show)

31.609756

78

0.671296

from datetime import datetime from typing import Any, Dict, List, Union from fastapi.encoders import jsonable_encoder from sqlalchemy.orm import Session from .crud_base import CRUDBase from models import Show from schemas.shows import ShowCreate, ShowUpdate, ShowDelete class CRUDShow(CRUDBase[Show, ShowCreate, ShowUpdate, ShowDelete]): def get_shows(self, db: Session) -> List[Show]: return super().get_multi(db, skip=0, limit=1000) def get_show_by_id(self, db: Session, *, show_id: int) -> List[Show]: return super().get(db, id=show_id) def create_show(self, db: Session, *, show_to_create: ShowCreate) -> Show: return super().create(db, show_to_create) def update_show( self, db: Session, *, show_obj: Show, updated_show_obj: Union[ShowUpdate, Dict[str, Any]] ) -> Show: if isinstance(updated_show_obj, ShowUpdate): updated_show_obj.edit_date = datetime.utcnow() else: updated_show_obj["edit_date"] = datetime.utcnow() return super().update(db, show_obj, updated_show_obj) def remove(self, db: Session, *, show_id: int) -> Show: return super().remove(db, id=show_id) crud_show = CRUDShow(Show)

true

f7fc2268d950c302ca4b6f4b97a549c5098801ed

42,163

py

Python

src/gam/gapi/directory/cros.py

GAM-team/GAM

b45ad5dcafc217690afc3c2e7086c1895f036172

[ "Apache-2.0" ]

102

2022-01-15T22:08:37.000Z

2022-03-31T16:02:20.000Z

src/gam/gapi/directory/cros.py

GAM-team/GAM

b45ad5dcafc217690afc3c2e7086c1895f036172

[ "Apache-2.0" ]

29

2022-01-14T20:16:51.000Z

2022-03-25T15:56:33.000Z

src/gam/gapi/directory/cros.py

GAM-team/GAM

b45ad5dcafc217690afc3c2e7086c1895f036172

[ "Apache-2.0" ]

30

2022-01-14T22:18:10.000Z

2022-03-31T17:31:40.000Z

import datetime import json import os import sys import time import googleapiclient from gam.var import * import gam from gam import controlflow from gam import display from gam import fileutils from gam import gapi from gam.gapi import directory as gapi_directory from gam.gapi import errors as gapi_errors from gam.gapi.directory import orgunits as gapi_directory_orgunits from gam import utils def _display_cros_command_result(cd, device_id, command_id, times_to_check_status): print(f'deviceId: {device_id}, commandId: {command_id}') final_states = {'EXPIRED', 'CANCELLED', 'EXECUTED_BY_CLIENT'} for _ in range(0, times_to_check_status): time.sleep(2) result = gapi.call(cd.customer().devices().chromeos().commands(), 'get', customerId=GC_Values[GC_CUSTOMER_ID], deviceId=device_id, commandId=command_id) display.print_json(result) if result.get('state') in final_states: return def issue_command(): cd = gapi_directory.build() i, devices = getCrOSDeviceEntity(3, cd) body = {} valid_commands = gapi.get_enum_values_minus_unspecified( cd._rootDesc['schemas'] ['DirectoryChromeosdevicesIssueCommandRequest'] ['properties']['commandType']['enum']) command_map = {} for valid_command in valid_commands: v = valid_command.lower().replace('_', '') command_map[v] = valid_command times_to_check_status = 1 doit = False while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg == 'command': command = sys.argv[i+1].lower().replace('_', '') if command not in command_map: controlflow.system_error_exit(2, f'expected command of ' \ f'{", ".join(valid_commands)} got {command}') body['commandType'] = command_map[command] i += 2 if command == 'setvolume': body['payload'] = json.dumps({'volume': sys.argv[i]}) i += 1 elif myarg == 'timestocheckstatus': times_to_check_status = int(sys.argv[i+1]) i += 2 elif myarg == 'doit': doit = True i += 1 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam issuecommand cros') if 'commandType' not in body: controlflow.missing_argument_exit('command <CrOSCommand>', 'gam issuecommand cros') if body['commandType'] == 'WIPE_USERS' and not doit: controlflow.system_error_exit(2, 'wipe_users command requires admin ' \ 'acknowledge user data will be destroyed with the ' \ 'doit argument') if body['commandType'] == 'REMOTE_POWERWASH' and not doit: controlflow.system_error_exit(2, 'remote_powerwash command requires ' \ 'admin acknowledge user data will be destroyed, device will need' \ ' to be reconnected to WiFi and re-enrolled with the doit argument') for device_id in devices: try: result = gapi.call(cd.customer().devices().chromeos(), 'issueCommand', customerId=GC_Values[GC_CUSTOMER_ID], deviceId=device_id, throw_reasons=[gapi_errors.ErrorReason.FOUR_O_O], body=body) except googleapiclient.errors.HttpError: controlflow.system_error_exit(4, '400 response from Google. This ' \ 'usually indicates the devices was not in a state where it will' \ ' accept the command. For example, reboot, set_volume and take_a_screenshot' \ ' require the device to be in auto-start kiosk app mode.') command_id = result.get('commandId') _display_cros_command_result(cd, device_id, command_id, times_to_check_status) def get_command(): cd = gapi_directory.build() i, devices = getCrOSDeviceEntity(3, cd) command_id = None times_to_check_status = 1 while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg == 'commandid': command_id = sys.argv[i+1] i += 2 elif myarg == 'timestocheckstatus': times_to_check_status = int(sys.argv[i+1]) i += 2 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam getcommand cros') for device_id in devices: _display_cros_command_result(cd, device_id, command_id, times_to_check_status) def doUpdateCros(): cd = gapi_directory.build() i, devices = getCrOSDeviceEntity(3, cd) update_body = {} action_body = {} orgUnitPath = None ack_wipe = False while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg == 'user': update_body['annotatedUser'] = sys.argv[i + 1] i += 2 elif myarg == 'location': update_body['annotatedLocation'] = sys.argv[i + 1] i += 2 elif myarg == 'notes': update_body['notes'] = sys.argv[i + 1].replace('\\n', '\n') i += 2 elif myarg in ['tag', 'asset', 'assetid']: update_body['annotatedAssetId'] = sys.argv[i + 1] i += 2 elif myarg in ['ou', 'org']: orgUnitPath = gapi_directory_orgunits.getOrgUnitItem(sys.argv[i + 1]) i += 2 elif myarg == 'action': action = sys.argv[i + 1].lower().replace('_', '').replace('-', '') deprovisionReason = None if action in [ 'deprovisionsamemodelreplace', 'deprovisionsamemodelreplacement' ]: action = 'deprovision' deprovisionReason = 'same_model_replacement' elif action in [ 'deprovisiondifferentmodelreplace', 'deprovisiondifferentmodelreplacement' ]: action = 'deprovision' deprovisionReason = 'different_model_replacement' elif action in ['deprovisionretiringdevice']: action = 'deprovision' deprovisionReason = 'retiring_device' elif action == 'deprovisionupgradetransfer': action = 'deprovision' deprovisionReason = 'upgrade_transfer' elif action not in ['disable', 'reenable']: controlflow.system_error_exit(2, f'expected action of ' \ f'deprovision_same_model_replace, ' \ f'deprovision_different_model_replace, ' \ f'deprovision_retiring_device, ' \ f'deprovision_upgrade_transfer, disable or reenable,' f' got {action}') action_body = {'action': action} if deprovisionReason: action_body['deprovisionReason'] = deprovisionReason i += 2 elif myarg == 'acknowledgedevicetouchrequirement': ack_wipe = True i += 1 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam update cros') i = 0 count = len(devices) if action_body: if action_body['action'] == 'deprovision' and not ack_wipe: print(f'WARNING: Refusing to deprovision {count} devices because ' 'acknowledge_device_touch_requirement not specified. ' \ 'Deprovisioning a device means the device will have to ' \ 'be physically wiped and re-enrolled to be managed by ' \ 'your domain again. This requires physical access to ' \ 'the device and is very time consuming to perform for ' \ 'each device. Please add ' \ '"acknowledge_device_touch_requirement" to the GAM ' \ 'command if you understand this and wish to proceed ' \ 'with the deprovision. Please also be aware that ' \ 'deprovisioning can have an effect on your device ' \ 'license count. See ' \ 'https://support.google.com/chrome/a/answer/3523633 '\ 'for full details.') sys.exit(3) for deviceId in devices: i += 1 cur_count = gam.currentCount(i, count) print(f' performing action {action} for {deviceId}{cur_count}') gapi.call(cd.chromeosdevices(), function='action', customerId=GC_Values[GC_CUSTOMER_ID], resourceId=deviceId, body=action_body) else: if update_body: for deviceId in devices: i += 1 current_count = gam.currentCount(i, count) print(f' updating {deviceId}{current_count}') gapi.call(cd.chromeosdevices(), 'update', customerId=GC_Values[GC_CUSTOMER_ID], deviceId=deviceId, body=update_body) if orgUnitPath: # split moves into max 50 devices per batch for l in range(0, len(devices), 50): move_body = {'deviceIds': devices[l:l + 50]} print(f' moving {len(move_body["deviceIds"])} devices to ' \ f'{orgUnitPath}') gapi.call(cd.chromeosdevices(), 'moveDevicesToOu', customerId=GC_Values[GC_CUSTOMER_ID], orgUnitPath=orgUnitPath, body=move_body) def doGetCrosInfo(): cd = gapi_directory.build() i, devices = getCrOSDeviceEntity(3, cd) downloadfile = None targetFolder = GC_Values[GC_DRIVE_DIR] projection = None fieldsList = [] noLists = False startDate = endDate = None listLimit = 0 while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg == 'nolists': noLists = True i += 1 elif myarg == 'listlimit': listLimit = gam.getInteger(sys.argv[i + 1], myarg, minVal=-1) i += 2 elif myarg in CROS_START_ARGUMENTS: startDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg in CROS_END_ARGUMENTS: endDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg == 'allfields': projection = 'FULL' fieldsList = [] i += 1 elif myarg in PROJECTION_CHOICES_MAP: projection = PROJECTION_CHOICES_MAP[myarg] if projection == 'FULL': fieldsList = [] else: fieldsList = CROS_BASIC_FIELDS_LIST[:] i += 1 elif myarg in CROS_ARGUMENT_TO_PROPERTY_MAP: fieldsList.extend(CROS_ARGUMENT_TO_PROPERTY_MAP[myarg]) i += 1 elif myarg == 'fields': fieldNameList = sys.argv[i + 1] for field in fieldNameList.lower().replace(',', ' ').split(): if field in CROS_ARGUMENT_TO_PROPERTY_MAP: fieldsList.extend(CROS_ARGUMENT_TO_PROPERTY_MAP[field]) if field in CROS_ACTIVE_TIME_RANGES_ARGUMENTS + \ CROS_DEVICE_FILES_ARGUMENTS + \ CROS_RECENT_USERS_ARGUMENTS: projection = 'FULL' noLists = False else: controlflow.invalid_argument_exit(field, 'gam info cros fields') i += 2 elif myarg == 'downloadfile': downloadfile = sys.argv[i + 1] if downloadfile.lower() == 'latest': downloadfile = downloadfile.lower() i += 2 elif myarg == 'targetfolder': targetFolder = os.path.expanduser(sys.argv[i + 1]) if not os.path.isdir(targetFolder): os.makedirs(targetFolder) i += 2 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam info cros') if fieldsList: fieldsList.append('deviceId') fields = ','.join(set(fieldsList)).replace('.', '/') else: fields = None i = 0 device_count = len(devices) for deviceId in devices: i += 1 cros = gapi.call(cd.chromeosdevices(), 'get', customerId=GC_Values[GC_CUSTOMER_ID], deviceId=deviceId, projection=projection, fields=fields) print(f'CrOS Device: {deviceId} ({i} of {device_count})') if 'notes' in cros: cros['notes'] = cros['notes'].replace('\n', '\\n') if 'autoUpdateExpiration' in cros: cros['autoUpdateExpiration'] = utils.formatTimestampYMD( cros['autoUpdateExpiration']) if 'orgUnitId' in cros: cros['orgUnitId'] = f"id:{cros['orgUnitId']}" _checkTPMVulnerability(cros) for up in CROS_SCALAR_PROPERTY_PRINT_ORDER: if up in cros: if isinstance(cros[up], str): print(f' {up}: {cros[up]}') else: sys.stdout.write(f' {up}:') display.print_json(cros[up], ' ') if not noLists: activeTimeRanges = _filterTimeRanges( cros.get('activeTimeRanges', []), startDate, endDate) lenATR = len(activeTimeRanges) if lenATR: print(' activeTimeRanges') num_ranges = min(lenATR, listLimit or lenATR) for activeTimeRange in activeTimeRanges[:num_ranges]: active_date = activeTimeRange['date'] active_time = activeTimeRange['activeTime'] duration = utils.formatMilliSeconds(active_time) minutes = active_time // 60000 print(f' date: {active_date}') print(f' activeTime: {active_time}') print(f' duration: {duration}') print(f' minutes: {minutes}') recentUsers = cros.get('recentUsers', []) lenRU = len(recentUsers) if lenRU: print(' recentUsers') num_ranges = min(lenRU, listLimit or lenRU) for recentUser in recentUsers[:num_ranges]: useremail = recentUser.get('email') if not useremail: if recentUser['type'] == 'USER_TYPE_UNMANAGED': useremail = 'UnmanagedUser' else: useremail = 'Unknown' print(f' type: {recentUser["type"]}') print(f' email: {useremail}') deviceFiles = _filterCreateReportTime(cros.get('deviceFiles', []), 'createTime', startDate, endDate) lenDF = len(deviceFiles) if lenDF: num_ranges = min(lenDF, listLimit or lenDF) print(' deviceFiles') for deviceFile in deviceFiles[:num_ranges]: device_type = deviceFile['type'] create_time = deviceFile['createTime'] print(f' {device_type}: {create_time}') if downloadfile: deviceFiles = cros.get('deviceFiles', []) lenDF = len(deviceFiles) if lenDF: if downloadfile == 'latest': deviceFile = deviceFiles[-1] else: for deviceFile in deviceFiles: if deviceFile['createTime'] == downloadfile: break else: print(f'ERROR: file {downloadfile} not ' \ f'available to download.') deviceFile = None if deviceFile: created = deviceFile['createTime'] downloadfile = f'cros-logs-{deviceId}-{created}.zip' downloadfilename = os.path.join(targetFolder, downloadfile) dl_url = deviceFile['downloadUrl'] _, content = cd._http.request(dl_url) fileutils.write_file(downloadfilename, content, mode='wb', continue_on_error=True) print(f'Downloaded: {downloadfilename}') elif downloadfile: print('ERROR: no files to download.') cpuStatusReports = _filterCreateReportTime( cros.get('cpuStatusReports', []), 'reportTime', startDate, endDate) lenCSR = len(cpuStatusReports) if lenCSR: print(' cpuStatusReports') num_ranges = min(lenCSR, listLimit or lenCSR) for cpuStatusReport in cpuStatusReports[:num_ranges]: print(f' reportTime: {cpuStatusReport["reportTime"]}') print(' cpuTemperatureInfo') tempInfos = cpuStatusReport.get('cpuTemperatureInfo', []) for tempInfo in tempInfos: temp_label = tempInfo['label'].strip() temperature = tempInfo['temperature'] print(f' {temp_label}: {temperature}') if 'cpuUtilizationPercentageInfo' in cpuStatusReport: pct_info = cpuStatusReport['cpuUtilizationPercentageInfo'] util = ','.join([str(x) for x in pct_info]) print(f' cpuUtilizationPercentageInfo: {util}') diskVolumeReports = cros.get('diskVolumeReports', []) lenDVR = len(diskVolumeReports) if lenDVR: print(' diskVolumeReports') print(' volumeInfo') num_ranges = min(lenDVR, listLimit or lenDVR) for diskVolumeReport in diskVolumeReports[:num_ranges]: volumeInfo = diskVolumeReport['volumeInfo'] for volume in volumeInfo: vid = volume['volumeId'] vstorage_free = volume['storageFree'] vstorage_total = volume['storageTotal'] print(f' volumeId: {vid}') print(f' storageFree: {vstorage_free}') print(f' storageTotal: {vstorage_total}') systemRamFreeReports = _filterCreateReportTime( cros.get('systemRamFreeReports', []), 'reportTime', startDate, endDate) lenSRFR = len(systemRamFreeReports) if lenSRFR: print(' systemRamFreeReports') num_ranges = min(lenSRFR, listLimit or lenSRFR) for systemRamFreeReport in systemRamFreeReports[:num_ranges]: report_time = systemRamFreeReport['reportTime'] free_info = systemRamFreeReport['systemRamFreeInfo'] free_ram = ','.join(free_info) print(f' reportTime: {report_time}') print(f' systemRamFreeInfo: {free_ram}') def doPrintCrosActivity(): cd = gapi_directory.build() todrive = False titles = [ 'deviceId', 'annotatedAssetId', 'annotatedLocation', 'serialNumber', 'orgUnitPath' ] csvRows = [] fieldsList = [ 'deviceId', 'annotatedAssetId', 'annotatedLocation', 'serialNumber', 'orgUnitPath' ] startDate = endDate = None selectActiveTimeRanges = selectDeviceFiles = selectRecentUsers = False listLimit = 0 delimiter = ',' orgUnitPath = None queries = [None] i = 3 while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg in ['query', 'queries']: queries = gam.getQueries(myarg, sys.argv[i + 1]) i += 2 elif myarg == 'limittoou': orgUnitPath = gapi_directory_orgunits.getOrgUnitItem(sys.argv[i + 1]) i += 2 elif myarg == 'todrive': todrive = True i += 1 elif myarg in CROS_ACTIVE_TIME_RANGES_ARGUMENTS: selectActiveTimeRanges = True i += 1 elif myarg in CROS_DEVICE_FILES_ARGUMENTS: selectDeviceFiles = True i += 1 elif myarg in CROS_RECENT_USERS_ARGUMENTS: selectRecentUsers = True i += 1 elif myarg == 'both': selectActiveTimeRanges = selectRecentUsers = True i += 1 elif myarg == 'all': selectActiveTimeRanges = selectDeviceFiles = True selectRecentUsers = True i += 1 elif myarg in CROS_START_ARGUMENTS: startDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg in CROS_END_ARGUMENTS: endDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg == 'listlimit': listLimit = gam.getInteger(sys.argv[i + 1], myarg, minVal=0) i += 2 elif myarg == 'delimiter': delimiter = sys.argv[i + 1] i += 2 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam print crosactivity') if not selectActiveTimeRanges and \ not selectDeviceFiles and \ not selectRecentUsers: selectActiveTimeRanges = selectRecentUsers = True if selectRecentUsers: fieldsList.append('recentUsers') display.add_titles_to_csv_file([ 'recentUsers.email', ], titles) if selectActiveTimeRanges: fieldsList.append('activeTimeRanges') titles_to_add = [ 'activeTimeRanges.date', 'activeTimeRanges.duration', 'activeTimeRanges.minutes' ] display.add_titles_to_csv_file(titles_to_add, titles) if selectDeviceFiles: fieldsList.append('deviceFiles') titles_to_add = ['deviceFiles.type', 'deviceFiles.createTime'] display.add_titles_to_csv_file(titles_to_add, titles) fields = f'nextPageToken,chromeosdevices({",".join(fieldsList)})' for query in queries: gam.printGettingAllItems('CrOS Devices', query) page_message = gapi.got_total_items_msg('CrOS Devices', '...\n') all_cros = gapi.get_all_pages(cd.chromeosdevices(), 'list', 'chromeosdevices', page_message=page_message, query=query, customerId=GC_Values[GC_CUSTOMER_ID], projection='FULL', fields=fields, orgUnitPath=orgUnitPath) for cros in all_cros: row = {} skip_attribs = ['recentUsers', 'activeTimeRanges', 'deviceFiles'] for attrib in cros: if attrib not in skip_attribs: row[attrib] = cros[attrib] if selectActiveTimeRanges: activeTimeRanges = _filterTimeRanges( cros.get('activeTimeRanges', []), startDate, endDate) lenATR = len(activeTimeRanges) num_ranges = min(lenATR, listLimit or lenATR) for activeTimeRange in activeTimeRanges[:num_ranges]: newrow = row.copy() newrow['activeTimeRanges.date'] = activeTimeRange['date'] active_time = activeTimeRange['activeTime'] newrow['activeTimeRanges.duration'] = \ utils.formatMilliSeconds(active_time) newrow['activeTimeRanges.minutes'] = \ activeTimeRange['activeTime']//60000 csvRows.append(newrow) if selectRecentUsers: recentUsers = cros.get('recentUsers', []) lenRU = len(recentUsers) num_ranges = min(lenRU, listLimit or lenRU) recent_users = [] for recentUser in recentUsers[:num_ranges]: useremail = recentUser.get('email') if not useremail: if recentUser['type'] == 'USER_TYPE_UNMANAGED': useremail = 'UnmanagedUser' else: useremail = 'Unknown' recent_users.append(useremail) row['recentUsers.email'] = delimiter.join(recent_users) csvRows.append(row) if selectDeviceFiles: deviceFiles = _filterCreateReportTime( cros.get('deviceFiles', []), 'createTime', startDate, endDate) lenDF = len(deviceFiles) num_ranges = min(lenDF, listLimit or lenDF) for deviceFile in deviceFiles[:num_ranges]: newrow = row.copy() newrow['deviceFiles.type'] = deviceFile['type'] create_time = deviceFile['createTime'] newrow['deviceFiles.createTime'] = create_time csvRows.append(newrow) display.write_csv_file(csvRows, titles, 'CrOS Activity', todrive) def _checkTPMVulnerability(cros): if 'tpmVersionInfo' in cros and \ 'firmwareVersion' in cros['tpmVersionInfo']: firmware_version = cros['tpmVersionInfo']['firmwareVersion'] if firmware_version in CROS_TPM_VULN_VERSIONS: cros['tpmVersionInfo']['tpmVulnerability'] = 'VULNERABLE' elif firmware_version in CROS_TPM_FIXED_VERSIONS: cros['tpmVersionInfo']['tpmVulnerability'] = 'UPDATED' else: cros['tpmVersionInfo']['tpmVulnerability'] = 'NOT IMPACTED' def doPrintCrosDevices(): def _getSelectedLists(myarg): if myarg in CROS_ACTIVE_TIME_RANGES_ARGUMENTS: selectedLists['activeTimeRanges'] = True elif myarg in CROS_RECENT_USERS_ARGUMENTS: selectedLists['recentUsers'] = True elif myarg in CROS_DEVICE_FILES_ARGUMENTS: selectedLists['deviceFiles'] = True elif myarg in CROS_CPU_STATUS_REPORTS_ARGUMENTS: selectedLists['cpuStatusReports'] = True elif myarg in CROS_DISK_VOLUME_REPORTS_ARGUMENTS: selectedLists['diskVolumeReports'] = True elif myarg in CROS_SYSTEM_RAM_FREE_REPORTS_ARGUMENTS: selectedLists['systemRamFreeReports'] = True cd = gapi_directory.build() todrive = False fieldsList = [] fieldsTitles = {} titles = [] csvRows = [] display.add_field_to_csv_file('deviceid', CROS_ARGUMENT_TO_PROPERTY_MAP, fieldsList, fieldsTitles, titles) projection = orderBy = sortOrder = orgUnitPath = None queries = [None] noLists = sortHeaders = False selectedLists = {} startDate = endDate = None listLimit = 0 i = 3 while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg in ['query', 'queries']: queries = gam.getQueries(myarg, sys.argv[i + 1]) i += 2 elif myarg == 'limittoou': orgUnitPath = gapi_directory_orgunits.getOrgUnitItem(sys.argv[i + 1]) i += 2 elif myarg == 'todrive': todrive = True i += 1 elif myarg == 'nolists': noLists = True selectedLists = {} i += 1 elif myarg == 'listlimit': listLimit = gam.getInteger(sys.argv[i + 1], myarg, minVal=0) i += 2 elif myarg in CROS_START_ARGUMENTS: startDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg in CROS_END_ARGUMENTS: endDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg == 'orderby': orderBy = sys.argv[i + 1].lower().replace('_', '') validOrderBy = [ 'location', 'user', 'lastsync', 'notes', 'serialnumber', 'status', 'supportenddate' ] if orderBy not in validOrderBy: controlflow.expected_argument_exit('orderby', ', '.join(validOrderBy), orderBy) if orderBy == 'location': orderBy = 'annotatedLocation' elif orderBy == 'user': orderBy = 'annotatedUser' elif orderBy == 'lastsync': orderBy = 'lastSync' elif orderBy == 'serialnumber': orderBy = 'serialNumber' elif orderBy == 'supportenddate': orderBy = 'supportEndDate' i += 2 elif myarg in SORTORDER_CHOICES_MAP: sortOrder = SORTORDER_CHOICES_MAP[myarg] i += 1 elif myarg in PROJECTION_CHOICES_MAP: projection = PROJECTION_CHOICES_MAP[myarg] sortHeaders = True if projection == 'FULL': fieldsList = [] else: fieldsList = CROS_BASIC_FIELDS_LIST[:] i += 1 elif myarg == 'allfields': projection = 'FULL' sortHeaders = True fieldsList = [] i += 1 elif myarg == 'sortheaders': sortHeaders = True i += 1 elif myarg in CROS_LISTS_ARGUMENTS: _getSelectedLists(myarg) i += 1 elif myarg in CROS_ARGUMENT_TO_PROPERTY_MAP: display.add_field_to_fields_list(myarg, CROS_ARGUMENT_TO_PROPERTY_MAP, fieldsList) i += 1 elif myarg == 'fields': fieldNameList = sys.argv[i + 1] for field in fieldNameList.lower().replace(',', ' ').split(): if field in CROS_LISTS_ARGUMENTS: _getSelectedLists(field) elif field in CROS_ARGUMENT_TO_PROPERTY_MAP: display.add_field_to_fields_list( field, CROS_ARGUMENT_TO_PROPERTY_MAP, fieldsList) else: controlflow.invalid_argument_exit(field, 'gam print cros fields') i += 2 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam print cros') if selectedLists: noLists = False projection = 'FULL' for selectList in selectedLists: display.add_field_to_fields_list(selectList, CROS_ARGUMENT_TO_PROPERTY_MAP, fieldsList) if fieldsList: fieldsList.append('deviceId') fields = f'nextPageToken,chromeosdevices({",".join(set(fieldsList))})'.replace( '.', '/') else: fields = None for query in queries: gam.printGettingAllItems('CrOS Devices', query) page_message = gapi.got_total_items_msg('CrOS Devices', '...\n') all_cros = gapi.get_all_pages(cd.chromeosdevices(), 'list', 'chromeosdevices', page_message=page_message, query=query, customerId=GC_Values[GC_CUSTOMER_ID], projection=projection, orgUnitPath=orgUnitPath, orderBy=orderBy, sortOrder=sortOrder, fields=fields) for cros in all_cros: _checkTPMVulnerability(cros) if not noLists and not selectedLists: for cros in all_cros: if 'notes' in cros: cros['notes'] = cros['notes'].replace('\n', '\\n') if 'autoUpdateExpiration' in cros: cros['autoUpdateExpiration'] = utils.formatTimestampYMD( cros['autoUpdateExpiration']) if 'orgUnitId' in cros: cros['orgUnitId'] = f"id:{cros['orgUnitId']}" for cpuStatusReport in cros.get('cpuStatusReports', []): tempInfos = cpuStatusReport.get('cpuTemperatureInfo', []) for tempInfo in tempInfos: tempInfo['label'] = tempInfo['label'].strip() display.add_row_titles_to_csv_file( utils.flatten_json(cros, listLimit=listLimit), csvRows, titles) continue for cros in all_cros: if 'notes' in cros: cros['notes'] = cros['notes'].replace('\n', '\\n') if 'autoUpdateExpiration' in cros: cros['autoUpdateExpiration'] = utils.formatTimestampYMD( cros['autoUpdateExpiration']) if 'orgUnitId' in cros: cros['orgUnitId'] = f"id:{cros['orgUnitId']}" row = {} for attrib in cros: if attrib not in { 'kind', 'etag', 'tpmVersionInfo', 'recentUsers', 'activeTimeRanges', 'deviceFiles', 'cpuStatusReports', 'diskVolumeReports', 'systemRamFreeReports' }: row[attrib] = cros[attrib] if selectedLists.get('activeTimeRanges'): timergs = cros.get('activeTimeRanges', []) else: timergs = [] activeTimeRanges = _filterTimeRanges(timergs, startDate, endDate) if selectedLists.get('recentUsers'): recentUsers = cros.get('recentUsers', []) else: recentUsers = [] if selectedLists.get('deviceFiles'): device_files = cros.get('deviceFiles', []) else: device_files = [] deviceFiles = _filterCreateReportTime(device_files, 'createTime', startDate, endDate) if selectedLists.get('cpuStatusReports'): cpu_reports = cros.get('cpuStatusReports', []) else: cpu_reports = [] cpuStatusReports = _filterCreateReportTime(cpu_reports, 'reportTime', startDate, endDate) if selectedLists.get('diskVolumeReports'): diskVolumeReports = cros.get('diskVolumeReports', []) else: diskVolumeReports = [] if selectedLists.get('systemRamFreeReports'): ram_reports = cros.get('systemRamFreeReports', []) else: ram_reports = [] systemRamFreeReports = _filterCreateReportTime( ram_reports, 'reportTime', startDate, endDate) if noLists or (not activeTimeRanges and \ not recentUsers and \ not deviceFiles and \ not cpuStatusReports and \ not diskVolumeReports and \ not systemRamFreeReports): display.add_row_titles_to_csv_file(row, csvRows, titles) continue lenATR = len(activeTimeRanges) lenRU = len(recentUsers) lenDF = len(deviceFiles) lenCSR = len(cpuStatusReports) lenDVR = len(diskVolumeReports) lenSRFR = len(systemRamFreeReports) max_len = max(lenATR, lenRU, lenDF, lenCSR, lenDVR, lenSRFR) for i in range(min(max_len, listLimit or max_len)): nrow = row.copy() if i < lenATR: nrow['activeTimeRanges.date'] = \ activeTimeRanges[i]['date'] nrow['activeTimeRanges.activeTime'] = \ str(activeTimeRanges[i]['activeTime']) active_time = activeTimeRanges[i]['activeTime'] nrow['activeTimeRanges.duration'] = \ utils.formatMilliSeconds(active_time) nrow['activeTimeRanges.minutes'] = active_time // 60000 if i < lenRU: nrow['recentUsers.type'] = recentUsers[i]['type'] nrow['recentUsers.email'] = recentUsers[i].get('email') if not nrow['recentUsers.email']: if nrow['recentUsers.type'] == 'USER_TYPE_UNMANAGED': nrow['recentUsers.email'] = 'UnmanagedUser' else: nrow['recentUsers.email'] = 'Unknown' if i < lenDF: nrow['deviceFiles.type'] = deviceFiles[i]['type'] nrow['deviceFiles.createTime'] = \ deviceFiles[i]['createTime'] if i < lenCSR: nrow['cpuStatusReports.reportTime'] = \ cpuStatusReports[i]['reportTime'] tempInfos = cpuStatusReports[i].get('cpuTemperatureInfo', []) for tempInfo in tempInfos: label = tempInfo['label'].strip() base = 'cpuStatusReports.cpuTemperatureInfo.' nrow[f'{base}{label}'] = tempInfo['temperature'] cpu_field = 'cpuUtilizationPercentageInfo' if cpu_field in cpuStatusReports[i]: cpu_reports = cpuStatusReports[i][cpu_field] cpu_pcts = [str(x) for x in cpu_reports] nrow[f'cpuStatusReports.{cpu_field}'] = ','.join(cpu_pcts) if i < lenDVR: volumeInfo = diskVolumeReports[i]['volumeInfo'] j = 0 vfield = 'diskVolumeReports.volumeInfo.' for volume in volumeInfo: nrow[f'{vfield}{j}.volumeId'] = \ volume['volumeId'] nrow[f'{vfield}{j}.storageFree'] = \ volume['storageFree'] nrow[f'{vfield}{j}.storageTotal'] = \ volume['storageTotal'] j += 1 if i < lenSRFR: nrow['systemRamFreeReports.reportTime'] = \ systemRamFreeReports[i]['reportTime'] ram_reports = systemRamFreeReports[i]['systemRamFreeInfo'] ram_info = [str(x) for x in ram_reports] nrow['systenRamFreeReports.systemRamFreeInfo'] = \ ','.join(ram_info) display.add_row_titles_to_csv_file(nrow, csvRows, titles) if sortHeaders: display.sort_csv_titles([ 'deviceId', ], titles) display.write_csv_file(csvRows, titles, 'CrOS', todrive) def getCrOSDeviceEntity(i, cd): myarg = sys.argv[i].lower() if myarg == 'cros_sn': return i + 2, gam.getUsersToModify('cros_sn', sys.argv[i + 1]) if myarg == 'query': return i + 2, gam.getUsersToModify('crosquery', sys.argv[i + 1]) if myarg[:6] == 'query:': query = sys.argv[i][6:] if query[:12].lower() == 'orgunitpath:': kwargs = {'orgUnitPath': query[12:]} else: kwargs = {'query': query} fields = 'nextPageToken,chromeosdevices(deviceId)' devices = gapi.get_all_pages(cd.chromeosdevices(), 'list', 'chromeosdevices', customerId=GC_Values[GC_CUSTOMER_ID], fields=fields, **kwargs) return i + 1, [device['deviceId'] for device in devices] return i + 1, sys.argv[i].replace(',', ' ').split() def _getFilterDate(dateStr): return datetime.datetime.strptime(dateStr, YYYYMMDD_FORMAT) def _filterTimeRanges(activeTimeRanges, startDate, endDate): if startDate is None and endDate is None: return activeTimeRanges filteredTimeRanges = [] for timeRange in activeTimeRanges: activityDate = datetime.datetime.strptime(timeRange['date'], YYYYMMDD_FORMAT) if ((startDate is None) or \ (activityDate >= startDate)) and \ ((endDate is None) or \ (activityDate <= endDate)): filteredTimeRanges.append(timeRange) return filteredTimeRanges def _filterCreateReportTime(items, timeField, startTime, endTime): if startTime is None and endTime is None: return items filteredItems = [] time_format = '%Y-%m-%dT%H:%M:%S.%fZ' for item in items: timeValue = datetime.datetime.strptime(item[timeField], time_format) if ((startTime is None) or \ (timeValue >= startTime)) and \ ((endTime is None) or \ (timeValue <= endTime)): filteredItems.append(item) return filteredItems

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import datetime import json import os import sys import time import googleapiclient from gam.var import * import gam from gam import controlflow from gam import display from gam import fileutils from gam import gapi from gam.gapi import directory as gapi_directory from gam.gapi import errors as gapi_errors from gam.gapi.directory import orgunits as gapi_directory_orgunits from gam import utils def _display_cros_command_result(cd, device_id, command_id, times_to_check_status): print(f'deviceId: {device_id}, commandId: {command_id}') final_states = {'EXPIRED', 'CANCELLED', 'EXECUTED_BY_CLIENT'} for _ in range(0, times_to_check_status): time.sleep(2) result = gapi.call(cd.customer().devices().chromeos().commands(), 'get', customerId=GC_Values[GC_CUSTOMER_ID], deviceId=device_id, commandId=command_id) display.print_json(result) if result.get('state') in final_states: return def issue_command(): cd = gapi_directory.build() i, devices = getCrOSDeviceEntity(3, cd) body = {} valid_commands = gapi.get_enum_values_minus_unspecified( cd._rootDesc['schemas'] ['DirectoryChromeosdevicesIssueCommandRequest'] ['properties']['commandType']['enum']) command_map = {} for valid_command in valid_commands: v = valid_command.lower().replace('_', '') command_map[v] = valid_command times_to_check_status = 1 doit = False while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg == 'command': command = sys.argv[i+1].lower().replace('_', '') if command not in command_map: controlflow.system_error_exit(2, f'expected command of ' \ f'{", ".join(valid_commands)} got {command}') body['commandType'] = command_map[command] i += 2 if command == 'setvolume': body['payload'] = json.dumps({'volume': sys.argv[i]}) i += 1 elif myarg == 'timestocheckstatus': times_to_check_status = int(sys.argv[i+1]) i += 2 elif myarg == 'doit': doit = True i += 1 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam issuecommand cros') if 'commandType' not in body: controlflow.missing_argument_exit('command <CrOSCommand>', 'gam issuecommand cros') if body['commandType'] == 'WIPE_USERS' and not doit: controlflow.system_error_exit(2, 'wipe_users command requires admin ' \ 'acknowledge user data will be destroyed with the ' \ 'doit argument') if body['commandType'] == 'REMOTE_POWERWASH' and not doit: controlflow.system_error_exit(2, 'remote_powerwash command requires ' \ 'admin acknowledge user data will be destroyed, device will need' \ ' to be reconnected to WiFi and re-enrolled with the doit argument') for device_id in devices: try: result = gapi.call(cd.customer().devices().chromeos(), 'issueCommand', customerId=GC_Values[GC_CUSTOMER_ID], deviceId=device_id, throw_reasons=[gapi_errors.ErrorReason.FOUR_O_O], body=body) except googleapiclient.errors.HttpError: controlflow.system_error_exit(4, '400 response from Google. This ' \ 'usually indicates the devices was not in a state where it will' \ ' accept the command. For example, reboot, set_volume and take_a_screenshot' \ ' require the device to be in auto-start kiosk app mode.') command_id = result.get('commandId') _display_cros_command_result(cd, device_id, command_id, times_to_check_status) def get_command(): cd = gapi_directory.build() i, devices = getCrOSDeviceEntity(3, cd) command_id = None times_to_check_status = 1 while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg == 'commandid': command_id = sys.argv[i+1] i += 2 elif myarg == 'timestocheckstatus': times_to_check_status = int(sys.argv[i+1]) i += 2 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam getcommand cros') for device_id in devices: _display_cros_command_result(cd, device_id, command_id, times_to_check_status) def doUpdateCros(): cd = gapi_directory.build() i, devices = getCrOSDeviceEntity(3, cd) update_body = {} action_body = {} orgUnitPath = None ack_wipe = False while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg == 'user': update_body['annotatedUser'] = sys.argv[i + 1] i += 2 elif myarg == 'location': update_body['annotatedLocation'] = sys.argv[i + 1] i += 2 elif myarg == 'notes': update_body['notes'] = sys.argv[i + 1].replace('\\n', '\n') i += 2 elif myarg in ['tag', 'asset', 'assetid']: update_body['annotatedAssetId'] = sys.argv[i + 1] i += 2 elif myarg in ['ou', 'org']: orgUnitPath = gapi_directory_orgunits.getOrgUnitItem(sys.argv[i + 1]) i += 2 elif myarg == 'action': action = sys.argv[i + 1].lower().replace('_', '').replace('-', '') deprovisionReason = None if action in [ 'deprovisionsamemodelreplace', 'deprovisionsamemodelreplacement' ]: action = 'deprovision' deprovisionReason = 'same_model_replacement' elif action in [ 'deprovisiondifferentmodelreplace', 'deprovisiondifferentmodelreplacement' ]: action = 'deprovision' deprovisionReason = 'different_model_replacement' elif action in ['deprovisionretiringdevice']: action = 'deprovision' deprovisionReason = 'retiring_device' elif action == 'deprovisionupgradetransfer': action = 'deprovision' deprovisionReason = 'upgrade_transfer' elif action not in ['disable', 'reenable']: controlflow.system_error_exit(2, f'expected action of ' \ f'deprovision_same_model_replace, ' \ f'deprovision_different_model_replace, ' \ f'deprovision_retiring_device, ' \ f'deprovision_upgrade_transfer, disable or reenable,' f' got {action}') action_body = {'action': action} if deprovisionReason: action_body['deprovisionReason'] = deprovisionReason i += 2 elif myarg == 'acknowledgedevicetouchrequirement': ack_wipe = True i += 1 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam update cros') i = 0 count = len(devices) if action_body: if action_body['action'] == 'deprovision' and not ack_wipe: print(f'WARNING: Refusing to deprovision {count} devices because ' 'acknowledge_device_touch_requirement not specified. ' \ 'Deprovisioning a device means the device will have to ' \ 'be physically wiped and re-enrolled to be managed by ' \ 'your domain again. This requires physical access to ' \ 'the device and is very time consuming to perform for ' \ 'each device. Please add ' \ '"acknowledge_device_touch_requirement" to the GAM ' \ 'command if you understand this and wish to proceed ' \ 'with the deprovision. Please also be aware that ' \ 'deprovisioning can have an effect on your device ' \ 'license count. See ' \ 'https://support.google.com/chrome/a/answer/3523633 '\ 'for full details.') sys.exit(3) for deviceId in devices: i += 1 cur_count = gam.currentCount(i, count) print(f' performing action {action} for {deviceId}{cur_count}') gapi.call(cd.chromeosdevices(), function='action', customerId=GC_Values[GC_CUSTOMER_ID], resourceId=deviceId, body=action_body) else: if update_body: for deviceId in devices: i += 1 current_count = gam.currentCount(i, count) print(f' updating {deviceId}{current_count}') gapi.call(cd.chromeosdevices(), 'update', customerId=GC_Values[GC_CUSTOMER_ID], deviceId=deviceId, body=update_body) if orgUnitPath: for l in range(0, len(devices), 50): move_body = {'deviceIds': devices[l:l + 50]} print(f' moving {len(move_body["deviceIds"])} devices to ' \ f'{orgUnitPath}') gapi.call(cd.chromeosdevices(), 'moveDevicesToOu', customerId=GC_Values[GC_CUSTOMER_ID], orgUnitPath=orgUnitPath, body=move_body) def doGetCrosInfo(): cd = gapi_directory.build() i, devices = getCrOSDeviceEntity(3, cd) downloadfile = None targetFolder = GC_Values[GC_DRIVE_DIR] projection = None fieldsList = [] noLists = False startDate = endDate = None listLimit = 0 while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg == 'nolists': noLists = True i += 1 elif myarg == 'listlimit': listLimit = gam.getInteger(sys.argv[i + 1], myarg, minVal=-1) i += 2 elif myarg in CROS_START_ARGUMENTS: startDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg in CROS_END_ARGUMENTS: endDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg == 'allfields': projection = 'FULL' fieldsList = [] i += 1 elif myarg in PROJECTION_CHOICES_MAP: projection = PROJECTION_CHOICES_MAP[myarg] if projection == 'FULL': fieldsList = [] else: fieldsList = CROS_BASIC_FIELDS_LIST[:] i += 1 elif myarg in CROS_ARGUMENT_TO_PROPERTY_MAP: fieldsList.extend(CROS_ARGUMENT_TO_PROPERTY_MAP[myarg]) i += 1 elif myarg == 'fields': fieldNameList = sys.argv[i + 1] for field in fieldNameList.lower().replace(',', ' ').split(): if field in CROS_ARGUMENT_TO_PROPERTY_MAP: fieldsList.extend(CROS_ARGUMENT_TO_PROPERTY_MAP[field]) if field in CROS_ACTIVE_TIME_RANGES_ARGUMENTS + \ CROS_DEVICE_FILES_ARGUMENTS + \ CROS_RECENT_USERS_ARGUMENTS: projection = 'FULL' noLists = False else: controlflow.invalid_argument_exit(field, 'gam info cros fields') i += 2 elif myarg == 'downloadfile': downloadfile = sys.argv[i + 1] if downloadfile.lower() == 'latest': downloadfile = downloadfile.lower() i += 2 elif myarg == 'targetfolder': targetFolder = os.path.expanduser(sys.argv[i + 1]) if not os.path.isdir(targetFolder): os.makedirs(targetFolder) i += 2 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam info cros') if fieldsList: fieldsList.append('deviceId') fields = ','.join(set(fieldsList)).replace('.', '/') else: fields = None i = 0 device_count = len(devices) for deviceId in devices: i += 1 cros = gapi.call(cd.chromeosdevices(), 'get', customerId=GC_Values[GC_CUSTOMER_ID], deviceId=deviceId, projection=projection, fields=fields) print(f'CrOS Device: {deviceId} ({i} of {device_count})') if 'notes' in cros: cros['notes'] = cros['notes'].replace('\n', '\\n') if 'autoUpdateExpiration' in cros: cros['autoUpdateExpiration'] = utils.formatTimestampYMD( cros['autoUpdateExpiration']) if 'orgUnitId' in cros: cros['orgUnitId'] = f"id:{cros['orgUnitId']}" _checkTPMVulnerability(cros) for up in CROS_SCALAR_PROPERTY_PRINT_ORDER: if up in cros: if isinstance(cros[up], str): print(f' {up}: {cros[up]}') else: sys.stdout.write(f' {up}:') display.print_json(cros[up], ' ') if not noLists: activeTimeRanges = _filterTimeRanges( cros.get('activeTimeRanges', []), startDate, endDate) lenATR = len(activeTimeRanges) if lenATR: print(' activeTimeRanges') num_ranges = min(lenATR, listLimit or lenATR) for activeTimeRange in activeTimeRanges[:num_ranges]: active_date = activeTimeRange['date'] active_time = activeTimeRange['activeTime'] duration = utils.formatMilliSeconds(active_time) minutes = active_time // 60000 print(f' date: {active_date}') print(f' activeTime: {active_time}') print(f' duration: {duration}') print(f' minutes: {minutes}') recentUsers = cros.get('recentUsers', []) lenRU = len(recentUsers) if lenRU: print(' recentUsers') num_ranges = min(lenRU, listLimit or lenRU) for recentUser in recentUsers[:num_ranges]: useremail = recentUser.get('email') if not useremail: if recentUser['type'] == 'USER_TYPE_UNMANAGED': useremail = 'UnmanagedUser' else: useremail = 'Unknown' print(f' type: {recentUser["type"]}') print(f' email: {useremail}') deviceFiles = _filterCreateReportTime(cros.get('deviceFiles', []), 'createTime', startDate, endDate) lenDF = len(deviceFiles) if lenDF: num_ranges = min(lenDF, listLimit or lenDF) print(' deviceFiles') for deviceFile in deviceFiles[:num_ranges]: device_type = deviceFile['type'] create_time = deviceFile['createTime'] print(f' {device_type}: {create_time}') if downloadfile: deviceFiles = cros.get('deviceFiles', []) lenDF = len(deviceFiles) if lenDF: if downloadfile == 'latest': deviceFile = deviceFiles[-1] else: for deviceFile in deviceFiles: if deviceFile['createTime'] == downloadfile: break else: print(f'ERROR: file {downloadfile} not ' \ f'available to download.') deviceFile = None if deviceFile: created = deviceFile['createTime'] downloadfile = f'cros-logs-{deviceId}-{created}.zip' downloadfilename = os.path.join(targetFolder, downloadfile) dl_url = deviceFile['downloadUrl'] _, content = cd._http.request(dl_url) fileutils.write_file(downloadfilename, content, mode='wb', continue_on_error=True) print(f'Downloaded: {downloadfilename}') elif downloadfile: print('ERROR: no files to download.') cpuStatusReports = _filterCreateReportTime( cros.get('cpuStatusReports', []), 'reportTime', startDate, endDate) lenCSR = len(cpuStatusReports) if lenCSR: print(' cpuStatusReports') num_ranges = min(lenCSR, listLimit or lenCSR) for cpuStatusReport in cpuStatusReports[:num_ranges]: print(f' reportTime: {cpuStatusReport["reportTime"]}') print(' cpuTemperatureInfo') tempInfos = cpuStatusReport.get('cpuTemperatureInfo', []) for tempInfo in tempInfos: temp_label = tempInfo['label'].strip() temperature = tempInfo['temperature'] print(f' {temp_label}: {temperature}') if 'cpuUtilizationPercentageInfo' in cpuStatusReport: pct_info = cpuStatusReport['cpuUtilizationPercentageInfo'] util = ','.join([str(x) for x in pct_info]) print(f' cpuUtilizationPercentageInfo: {util}') diskVolumeReports = cros.get('diskVolumeReports', []) lenDVR = len(diskVolumeReports) if lenDVR: print(' diskVolumeReports') print(' volumeInfo') num_ranges = min(lenDVR, listLimit or lenDVR) for diskVolumeReport in diskVolumeReports[:num_ranges]: volumeInfo = diskVolumeReport['volumeInfo'] for volume in volumeInfo: vid = volume['volumeId'] vstorage_free = volume['storageFree'] vstorage_total = volume['storageTotal'] print(f' volumeId: {vid}') print(f' storageFree: {vstorage_free}') print(f' storageTotal: {vstorage_total}') systemRamFreeReports = _filterCreateReportTime( cros.get('systemRamFreeReports', []), 'reportTime', startDate, endDate) lenSRFR = len(systemRamFreeReports) if lenSRFR: print(' systemRamFreeReports') num_ranges = min(lenSRFR, listLimit or lenSRFR) for systemRamFreeReport in systemRamFreeReports[:num_ranges]: report_time = systemRamFreeReport['reportTime'] free_info = systemRamFreeReport['systemRamFreeInfo'] free_ram = ','.join(free_info) print(f' reportTime: {report_time}') print(f' systemRamFreeInfo: {free_ram}') def doPrintCrosActivity(): cd = gapi_directory.build() todrive = False titles = [ 'deviceId', 'annotatedAssetId', 'annotatedLocation', 'serialNumber', 'orgUnitPath' ] csvRows = [] fieldsList = [ 'deviceId', 'annotatedAssetId', 'annotatedLocation', 'serialNumber', 'orgUnitPath' ] startDate = endDate = None selectActiveTimeRanges = selectDeviceFiles = selectRecentUsers = False listLimit = 0 delimiter = ',' orgUnitPath = None queries = [None] i = 3 while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg in ['query', 'queries']: queries = gam.getQueries(myarg, sys.argv[i + 1]) i += 2 elif myarg == 'limittoou': orgUnitPath = gapi_directory_orgunits.getOrgUnitItem(sys.argv[i + 1]) i += 2 elif myarg == 'todrive': todrive = True i += 1 elif myarg in CROS_ACTIVE_TIME_RANGES_ARGUMENTS: selectActiveTimeRanges = True i += 1 elif myarg in CROS_DEVICE_FILES_ARGUMENTS: selectDeviceFiles = True i += 1 elif myarg in CROS_RECENT_USERS_ARGUMENTS: selectRecentUsers = True i += 1 elif myarg == 'both': selectActiveTimeRanges = selectRecentUsers = True i += 1 elif myarg == 'all': selectActiveTimeRanges = selectDeviceFiles = True selectRecentUsers = True i += 1 elif myarg in CROS_START_ARGUMENTS: startDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg in CROS_END_ARGUMENTS: endDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg == 'listlimit': listLimit = gam.getInteger(sys.argv[i + 1], myarg, minVal=0) i += 2 elif myarg == 'delimiter': delimiter = sys.argv[i + 1] i += 2 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam print crosactivity') if not selectActiveTimeRanges and \ not selectDeviceFiles and \ not selectRecentUsers: selectActiveTimeRanges = selectRecentUsers = True if selectRecentUsers: fieldsList.append('recentUsers') display.add_titles_to_csv_file([ 'recentUsers.email', ], titles) if selectActiveTimeRanges: fieldsList.append('activeTimeRanges') titles_to_add = [ 'activeTimeRanges.date', 'activeTimeRanges.duration', 'activeTimeRanges.minutes' ] display.add_titles_to_csv_file(titles_to_add, titles) if selectDeviceFiles: fieldsList.append('deviceFiles') titles_to_add = ['deviceFiles.type', 'deviceFiles.createTime'] display.add_titles_to_csv_file(titles_to_add, titles) fields = f'nextPageToken,chromeosdevices({",".join(fieldsList)})' for query in queries: gam.printGettingAllItems('CrOS Devices', query) page_message = gapi.got_total_items_msg('CrOS Devices', '...\n') all_cros = gapi.get_all_pages(cd.chromeosdevices(), 'list', 'chromeosdevices', page_message=page_message, query=query, customerId=GC_Values[GC_CUSTOMER_ID], projection='FULL', fields=fields, orgUnitPath=orgUnitPath) for cros in all_cros: row = {} skip_attribs = ['recentUsers', 'activeTimeRanges', 'deviceFiles'] for attrib in cros: if attrib not in skip_attribs: row[attrib] = cros[attrib] if selectActiveTimeRanges: activeTimeRanges = _filterTimeRanges( cros.get('activeTimeRanges', []), startDate, endDate) lenATR = len(activeTimeRanges) num_ranges = min(lenATR, listLimit or lenATR) for activeTimeRange in activeTimeRanges[:num_ranges]: newrow = row.copy() newrow['activeTimeRanges.date'] = activeTimeRange['date'] active_time = activeTimeRange['activeTime'] newrow['activeTimeRanges.duration'] = \ utils.formatMilliSeconds(active_time) newrow['activeTimeRanges.minutes'] = \ activeTimeRange['activeTime']//60000 csvRows.append(newrow) if selectRecentUsers: recentUsers = cros.get('recentUsers', []) lenRU = len(recentUsers) num_ranges = min(lenRU, listLimit or lenRU) recent_users = [] for recentUser in recentUsers[:num_ranges]: useremail = recentUser.get('email') if not useremail: if recentUser['type'] == 'USER_TYPE_UNMANAGED': useremail = 'UnmanagedUser' else: useremail = 'Unknown' recent_users.append(useremail) row['recentUsers.email'] = delimiter.join(recent_users) csvRows.append(row) if selectDeviceFiles: deviceFiles = _filterCreateReportTime( cros.get('deviceFiles', []), 'createTime', startDate, endDate) lenDF = len(deviceFiles) num_ranges = min(lenDF, listLimit or lenDF) for deviceFile in deviceFiles[:num_ranges]: newrow = row.copy() newrow['deviceFiles.type'] = deviceFile['type'] create_time = deviceFile['createTime'] newrow['deviceFiles.createTime'] = create_time csvRows.append(newrow) display.write_csv_file(csvRows, titles, 'CrOS Activity', todrive) def _checkTPMVulnerability(cros): if 'tpmVersionInfo' in cros and \ 'firmwareVersion' in cros['tpmVersionInfo']: firmware_version = cros['tpmVersionInfo']['firmwareVersion'] if firmware_version in CROS_TPM_VULN_VERSIONS: cros['tpmVersionInfo']['tpmVulnerability'] = 'VULNERABLE' elif firmware_version in CROS_TPM_FIXED_VERSIONS: cros['tpmVersionInfo']['tpmVulnerability'] = 'UPDATED' else: cros['tpmVersionInfo']['tpmVulnerability'] = 'NOT IMPACTED' def doPrintCrosDevices(): def _getSelectedLists(myarg): if myarg in CROS_ACTIVE_TIME_RANGES_ARGUMENTS: selectedLists['activeTimeRanges'] = True elif myarg in CROS_RECENT_USERS_ARGUMENTS: selectedLists['recentUsers'] = True elif myarg in CROS_DEVICE_FILES_ARGUMENTS: selectedLists['deviceFiles'] = True elif myarg in CROS_CPU_STATUS_REPORTS_ARGUMENTS: selectedLists['cpuStatusReports'] = True elif myarg in CROS_DISK_VOLUME_REPORTS_ARGUMENTS: selectedLists['diskVolumeReports'] = True elif myarg in CROS_SYSTEM_RAM_FREE_REPORTS_ARGUMENTS: selectedLists['systemRamFreeReports'] = True cd = gapi_directory.build() todrive = False fieldsList = [] fieldsTitles = {} titles = [] csvRows = [] display.add_field_to_csv_file('deviceid', CROS_ARGUMENT_TO_PROPERTY_MAP, fieldsList, fieldsTitles, titles) projection = orderBy = sortOrder = orgUnitPath = None queries = [None] noLists = sortHeaders = False selectedLists = {} startDate = endDate = None listLimit = 0 i = 3 while i < len(sys.argv): myarg = sys.argv[i].lower().replace('_', '') if myarg in ['query', 'queries']: queries = gam.getQueries(myarg, sys.argv[i + 1]) i += 2 elif myarg == 'limittoou': orgUnitPath = gapi_directory_orgunits.getOrgUnitItem(sys.argv[i + 1]) i += 2 elif myarg == 'todrive': todrive = True i += 1 elif myarg == 'nolists': noLists = True selectedLists = {} i += 1 elif myarg == 'listlimit': listLimit = gam.getInteger(sys.argv[i + 1], myarg, minVal=0) i += 2 elif myarg in CROS_START_ARGUMENTS: startDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg in CROS_END_ARGUMENTS: endDate = _getFilterDate(sys.argv[i + 1]) i += 2 elif myarg == 'orderby': orderBy = sys.argv[i + 1].lower().replace('_', '') validOrderBy = [ 'location', 'user', 'lastsync', 'notes', 'serialnumber', 'status', 'supportenddate' ] if orderBy not in validOrderBy: controlflow.expected_argument_exit('orderby', ', '.join(validOrderBy), orderBy) if orderBy == 'location': orderBy = 'annotatedLocation' elif orderBy == 'user': orderBy = 'annotatedUser' elif orderBy == 'lastsync': orderBy = 'lastSync' elif orderBy == 'serialnumber': orderBy = 'serialNumber' elif orderBy == 'supportenddate': orderBy = 'supportEndDate' i += 2 elif myarg in SORTORDER_CHOICES_MAP: sortOrder = SORTORDER_CHOICES_MAP[myarg] i += 1 elif myarg in PROJECTION_CHOICES_MAP: projection = PROJECTION_CHOICES_MAP[myarg] sortHeaders = True if projection == 'FULL': fieldsList = [] else: fieldsList = CROS_BASIC_FIELDS_LIST[:] i += 1 elif myarg == 'allfields': projection = 'FULL' sortHeaders = True fieldsList = [] i += 1 elif myarg == 'sortheaders': sortHeaders = True i += 1 elif myarg in CROS_LISTS_ARGUMENTS: _getSelectedLists(myarg) i += 1 elif myarg in CROS_ARGUMENT_TO_PROPERTY_MAP: display.add_field_to_fields_list(myarg, CROS_ARGUMENT_TO_PROPERTY_MAP, fieldsList) i += 1 elif myarg == 'fields': fieldNameList = sys.argv[i + 1] for field in fieldNameList.lower().replace(',', ' ').split(): if field in CROS_LISTS_ARGUMENTS: _getSelectedLists(field) elif field in CROS_ARGUMENT_TO_PROPERTY_MAP: display.add_field_to_fields_list( field, CROS_ARGUMENT_TO_PROPERTY_MAP, fieldsList) else: controlflow.invalid_argument_exit(field, 'gam print cros fields') i += 2 else: controlflow.invalid_argument_exit(sys.argv[i], 'gam print cros') if selectedLists: noLists = False projection = 'FULL' for selectList in selectedLists: display.add_field_to_fields_list(selectList, CROS_ARGUMENT_TO_PROPERTY_MAP, fieldsList) if fieldsList: fieldsList.append('deviceId') fields = f'nextPageToken,chromeosdevices({",".join(set(fieldsList))})'.replace( '.', '/') else: fields = None for query in queries: gam.printGettingAllItems('CrOS Devices', query) page_message = gapi.got_total_items_msg('CrOS Devices', '...\n') all_cros = gapi.get_all_pages(cd.chromeosdevices(), 'list', 'chromeosdevices', page_message=page_message, query=query, customerId=GC_Values[GC_CUSTOMER_ID], projection=projection, orgUnitPath=orgUnitPath, orderBy=orderBy, sortOrder=sortOrder, fields=fields) for cros in all_cros: _checkTPMVulnerability(cros) if not noLists and not selectedLists: for cros in all_cros: if 'notes' in cros: cros['notes'] = cros['notes'].replace('\n', '\\n') if 'autoUpdateExpiration' in cros: cros['autoUpdateExpiration'] = utils.formatTimestampYMD( cros['autoUpdateExpiration']) if 'orgUnitId' in cros: cros['orgUnitId'] = f"id:{cros['orgUnitId']}" for cpuStatusReport in cros.get('cpuStatusReports', []): tempInfos = cpuStatusReport.get('cpuTemperatureInfo', []) for tempInfo in tempInfos: tempInfo['label'] = tempInfo['label'].strip() display.add_row_titles_to_csv_file( utils.flatten_json(cros, listLimit=listLimit), csvRows, titles) continue for cros in all_cros: if 'notes' in cros: cros['notes'] = cros['notes'].replace('\n', '\\n') if 'autoUpdateExpiration' in cros: cros['autoUpdateExpiration'] = utils.formatTimestampYMD( cros['autoUpdateExpiration']) if 'orgUnitId' in cros: cros['orgUnitId'] = f"id:{cros['orgUnitId']}" row = {} for attrib in cros: if attrib not in { 'kind', 'etag', 'tpmVersionInfo', 'recentUsers', 'activeTimeRanges', 'deviceFiles', 'cpuStatusReports', 'diskVolumeReports', 'systemRamFreeReports' }: row[attrib] = cros[attrib] if selectedLists.get('activeTimeRanges'): timergs = cros.get('activeTimeRanges', []) else: timergs = [] activeTimeRanges = _filterTimeRanges(timergs, startDate, endDate) if selectedLists.get('recentUsers'): recentUsers = cros.get('recentUsers', []) else: recentUsers = [] if selectedLists.get('deviceFiles'): device_files = cros.get('deviceFiles', []) else: device_files = [] deviceFiles = _filterCreateReportTime(device_files, 'createTime', startDate, endDate) if selectedLists.get('cpuStatusReports'): cpu_reports = cros.get('cpuStatusReports', []) else: cpu_reports = [] cpuStatusReports = _filterCreateReportTime(cpu_reports, 'reportTime', startDate, endDate) if selectedLists.get('diskVolumeReports'): diskVolumeReports = cros.get('diskVolumeReports', []) else: diskVolumeReports = [] if selectedLists.get('systemRamFreeReports'): ram_reports = cros.get('systemRamFreeReports', []) else: ram_reports = [] systemRamFreeReports = _filterCreateReportTime( ram_reports, 'reportTime', startDate, endDate) if noLists or (not activeTimeRanges and \ not recentUsers and \ not deviceFiles and \ not cpuStatusReports and \ not diskVolumeReports and \ not systemRamFreeReports): display.add_row_titles_to_csv_file(row, csvRows, titles) continue lenATR = len(activeTimeRanges) lenRU = len(recentUsers) lenDF = len(deviceFiles) lenCSR = len(cpuStatusReports) lenDVR = len(diskVolumeReports) lenSRFR = len(systemRamFreeReports) max_len = max(lenATR, lenRU, lenDF, lenCSR, lenDVR, lenSRFR) for i in range(min(max_len, listLimit or max_len)): nrow = row.copy() if i < lenATR: nrow['activeTimeRanges.date'] = \ activeTimeRanges[i]['date'] nrow['activeTimeRanges.activeTime'] = \ str(activeTimeRanges[i]['activeTime']) active_time = activeTimeRanges[i]['activeTime'] nrow['activeTimeRanges.duration'] = \ utils.formatMilliSeconds(active_time) nrow['activeTimeRanges.minutes'] = active_time // 60000 if i < lenRU: nrow['recentUsers.type'] = recentUsers[i]['type'] nrow['recentUsers.email'] = recentUsers[i].get('email') if not nrow['recentUsers.email']: if nrow['recentUsers.type'] == 'USER_TYPE_UNMANAGED': nrow['recentUsers.email'] = 'UnmanagedUser' else: nrow['recentUsers.email'] = 'Unknown' if i < lenDF: nrow['deviceFiles.type'] = deviceFiles[i]['type'] nrow['deviceFiles.createTime'] = \ deviceFiles[i]['createTime'] if i < lenCSR: nrow['cpuStatusReports.reportTime'] = \ cpuStatusReports[i]['reportTime'] tempInfos = cpuStatusReports[i].get('cpuTemperatureInfo', []) for tempInfo in tempInfos: label = tempInfo['label'].strip() base = 'cpuStatusReports.cpuTemperatureInfo.' nrow[f'{base}{label}'] = tempInfo['temperature'] cpu_field = 'cpuUtilizationPercentageInfo' if cpu_field in cpuStatusReports[i]: cpu_reports = cpuStatusReports[i][cpu_field] cpu_pcts = [str(x) for x in cpu_reports] nrow[f'cpuStatusReports.{cpu_field}'] = ','.join(cpu_pcts) if i < lenDVR: volumeInfo = diskVolumeReports[i]['volumeInfo'] j = 0 vfield = 'diskVolumeReports.volumeInfo.' for volume in volumeInfo: nrow[f'{vfield}{j}.volumeId'] = \ volume['volumeId'] nrow[f'{vfield}{j}.storageFree'] = \ volume['storageFree'] nrow[f'{vfield}{j}.storageTotal'] = \ volume['storageTotal'] j += 1 if i < lenSRFR: nrow['systemRamFreeReports.reportTime'] = \ systemRamFreeReports[i]['reportTime'] ram_reports = systemRamFreeReports[i]['systemRamFreeInfo'] ram_info = [str(x) for x in ram_reports] nrow['systenRamFreeReports.systemRamFreeInfo'] = \ ','.join(ram_info) display.add_row_titles_to_csv_file(nrow, csvRows, titles) if sortHeaders: display.sort_csv_titles([ 'deviceId', ], titles) display.write_csv_file(csvRows, titles, 'CrOS', todrive) def getCrOSDeviceEntity(i, cd): myarg = sys.argv[i].lower() if myarg == 'cros_sn': return i + 2, gam.getUsersToModify('cros_sn', sys.argv[i + 1]) if myarg == 'query': return i + 2, gam.getUsersToModify('crosquery', sys.argv[i + 1]) if myarg[:6] == 'query:': query = sys.argv[i][6:] if query[:12].lower() == 'orgunitpath:': kwargs = {'orgUnitPath': query[12:]} else: kwargs = {'query': query} fields = 'nextPageToken,chromeosdevices(deviceId)' devices = gapi.get_all_pages(cd.chromeosdevices(), 'list', 'chromeosdevices', customerId=GC_Values[GC_CUSTOMER_ID], fields=fields, **kwargs) return i + 1, [device['deviceId'] for device in devices] return i + 1, sys.argv[i].replace(',', ' ').split() def _getFilterDate(dateStr): return datetime.datetime.strptime(dateStr, YYYYMMDD_FORMAT) def _filterTimeRanges(activeTimeRanges, startDate, endDate): if startDate is None and endDate is None: return activeTimeRanges filteredTimeRanges = [] for timeRange in activeTimeRanges: activityDate = datetime.datetime.strptime(timeRange['date'], YYYYMMDD_FORMAT) if ((startDate is None) or \ (activityDate >= startDate)) and \ ((endDate is None) or \ (activityDate <= endDate)): filteredTimeRanges.append(timeRange) return filteredTimeRanges def _filterCreateReportTime(items, timeField, startTime, endTime): if startTime is None and endTime is None: return items filteredItems = [] time_format = '%Y-%m-%dT%H:%M:%S.%fZ' for item in items: timeValue = datetime.datetime.strptime(item[timeField], time_format) if ((startTime is None) or \ (timeValue >= startTime)) and \ ((endTime is None) or \ (timeValue <= endTime)): filteredItems.append(item) return filteredItems

true

f7fc2374b0c5f4983c13d80ef4be987a8ac5e838

10,337

py

Python

plato/config.py

NingxinSu/plato

94c1c0d7d8b1a1b0ff7f6d9efcf1883f314d9668

[ "Apache-2.0" ]

null

plato/config.py

NingxinSu/plato

94c1c0d7d8b1a1b0ff7f6d9efcf1883f314d9668

[ "Apache-2.0" ]

null

plato/config.py

NingxinSu/plato

94c1c0d7d8b1a1b0ff7f6d9efcf1883f314d9668

[ "Apache-2.0" ]

null

""" Reading runtime parameters from a standard configuration file (which is easier to work on than JSON). """ import argparse import logging import os import random import sqlite3 from collections import OrderedDict, namedtuple import yaml from yamlinclude import YamlIncludeConstructor class Config: """ Retrieving configuration parameters by parsing a configuration file using the YAML configuration file parser. """ _instance = None def __new__(cls): if cls._instance is None: parser = argparse.ArgumentParser() parser.add_argument('-i', '--id', type=str, help='Unique client ID.') parser.add_argument('-p', '--port', type=str, help='The port number for running a server.') parser.add_argument('-c', '--config', type=str, default='./config.yml', help='Federated learning configuration file.') parser.add_argument('-s', '--server', type=str, default=None, help='The server hostname and port number.') parser.add_argument( '-d', '--download', action='store_true', help='Download the dataset to prepare for a training session.') parser.add_argument('-l', '--log', type=str, default='info', help='Log messages level.') args = parser.parse_args() Config.args = args if Config.args.id is not None: Config.args.id = int(args.id) if Config.args.port is not None: Config.args.port = int(args.port) try: log_level = { 'critical': logging.CRITICAL, 'error': logging.ERROR, 'warn': logging.WARN, 'info': logging.INFO, 'debug': logging.DEBUG }[args.log] except KeyError: log_level = logging.INFO logging.basicConfig( format='[%(levelname)s][%(asctime)s]: %(message)s', level=log_level, datefmt='%H:%M:%S') cls._instance = super(Config, cls).__new__(cls) if 'config_file' in os.environ: filename = os.environ['config_file'] else: filename = args.config YamlIncludeConstructor.add_to_loader_class( loader_class=yaml.SafeLoader, base_dir='./configs') if os.path.isfile(filename): with open(filename, 'r', encoding="utf8") as config_file: config = yaml.load(config_file, Loader=yaml.SafeLoader) else: # if the configuration file does not exist, use a default one config = Config.default_config() Config.clients = Config.namedtuple_from_dict(config['clients']) Config.server = Config.namedtuple_from_dict(config['server']) Config.data = Config.namedtuple_from_dict(config['data']) Config.trainer = Config.namedtuple_from_dict(config['trainer']) Config.algorithm = Config.namedtuple_from_dict(config['algorithm']) if Config.args.server is not None: Config.server = Config.server._replace( address=args.server.split(':')[0]) Config.server = Config.server._replace( port=args.server.split(':')[1]) if Config.args.download: Config.clients = Config.clients._replace(total_clients=1) Config.clients = Config.clients._replace(per_round=1) if 'results' in config: Config.results = Config.namedtuple_from_dict(config['results']) if hasattr(Config().results, 'results_dir'): Config.result_dir = Config.results.results_dir else: datasource = Config.data.datasource model = Config.trainer.model_name server_type = Config.algorithm.type Config.result_dir = f'./results/{datasource}/{model}/{server_type}/' if 'model' in config: Config.model = Config.namedtuple_from_dict(config['model']) if hasattr(Config().trainer, 'max_concurrency'): # Using a temporary SQLite database to limit the maximum number of concurrent # trainers Config.sql_connection = sqlite3.connect( "/tmp/running_trainers.sqlitedb") Config().cursor = Config.sql_connection.cursor() # Customizable dictionary of global parameters Config.params: dict = {} # A run ID is unique to each client in an experiment Config.params['run_id'] = os.getpid() # Pretrained models Config.params['model_dir'] = "./models/pretrained/" Config.params['pretrained_model_dir'] = "./models/pretrained/" return cls._instance @staticmethod def namedtuple_from_dict(obj): """Creates a named tuple from a dictionary.""" if isinstance(obj, dict): fields = sorted(obj.keys()) namedtuple_type = namedtuple(typename='Config', field_names=fields, rename=True) field_value_pairs = OrderedDict( (str(field), Config.namedtuple_from_dict(obj[field])) for field in fields) try: return namedtuple_type(**field_value_pairs) except TypeError: # Cannot create namedtuple instance so fallback to dict (invalid attribute names) return dict(**field_value_pairs) elif isinstance(obj, (list, set, tuple, frozenset)): return [Config.namedtuple_from_dict(item) for item in obj] else: return obj @staticmethod def is_edge_server() -> bool: """Returns whether the current instance is an edge server in cross-silo FL.""" return Config().args.port is not None @staticmethod def is_central_server() -> bool: """Returns whether the current instance is a central server in cross-silo FL.""" return hasattr(Config().algorithm, 'cross_silo') and Config().args.port is None @staticmethod def device() -> str: """Returns the device to be used for training.""" device = 'cpu' if hasattr(Config().trainer, 'use_mindspore'): pass elif hasattr(Config().trainer, 'use_tensorflow'): import tensorflow as tf gpus = tf.config.experimental.list_physical_devices('GPU') if len(gpus) > 0: device = 'GPU' tf.config.experimental.set_visible_devices( gpus[random.randint(0, len(gpus) - 1)], 'GPU') else: import torch if torch.cuda.is_available() and torch.cuda.device_count() > 0: if hasattr(Config().trainer, 'parallelized') and Config().trainer.parallelized: device = 'cuda' else: device = 'cuda:' + str( random.randint(0, torch.cuda.device_count() - 1)) return device @staticmethod def is_parallel() -> bool: """Check if the hardware and OS support data parallelism.""" import torch return hasattr(Config().trainer, 'parallelized') and Config( ).trainer.parallelized and torch.cuda.is_available( ) and torch.distributed.is_available( ) and torch.cuda.device_count() > 1 @staticmethod def default_config() -> dict: ''' Supply a default configuration when the configuration file is missing. ''' config = {} config['clients'] = {} config['clients']['type'] = 'simple' config['clients']['total_clients'] = 1 config['clients']['per_round'] = 1 config['clients']['do_test'] = False config['server'] = {} config['server']['address'] = '127.0.0.1' config['server']['port'] = 8000 config['server']['disable_clients'] = True config['data'] = {} config['data']['datasource'] = 'MNIST' config['data']['data_path'] = './data' config['data']['partition_size'] = 20000 config['data']['sampler'] = 'iid' config['data']['random_seed'] = 1 config['trainer'] = {} config['trainer']['type'] = 'basic' config['trainer']['rounds'] = 5 config['trainer']['parallelized'] = False config['trainer']['target_accuracy'] = 0.94 config['trainer']['epochs'] = 5 config['trainer']['batch_size'] = 32 config['trainer']['optimizer'] = 'SGD' config['trainer']['learning_rate'] = 0.01 config['trainer']['momentum'] = 0.9 config['trainer']['weight_decay'] = 0.0 config['trainer']['model_name'] = 'lenet5' config['algorithm'] = {} config['algorithm']['type'] = 'fedavg' return config @staticmethod def store() -> None: """ Saving the current run-time configuration to a file. """ data = {} data['clients'] = Config.clients._asdict() data['server'] = Config.server._asdict() data['data'] = Config.data._asdict() data['trainer'] = Config.trainer._asdict() data['algorithm'] = Config.algorithm._asdict() with open(Config.args.config, "w", encoding="utf8") as out: yaml.dump(data, out, default_flow_style=False)

39.454198

97

0.528103

import argparse import logging import os import random import sqlite3 from collections import OrderedDict, namedtuple import yaml from yamlinclude import YamlIncludeConstructor class Config: _instance = None def __new__(cls): if cls._instance is None: parser = argparse.ArgumentParser() parser.add_argument('-i', '--id', type=str, help='Unique client ID.') parser.add_argument('-p', '--port', type=str, help='The port number for running a server.') parser.add_argument('-c', '--config', type=str, default='./config.yml', help='Federated learning configuration file.') parser.add_argument('-s', '--server', type=str, default=None, help='The server hostname and port number.') parser.add_argument( '-d', '--download', action='store_true', help='Download the dataset to prepare for a training session.') parser.add_argument('-l', '--log', type=str, default='info', help='Log messages level.') args = parser.parse_args() Config.args = args if Config.args.id is not None: Config.args.id = int(args.id) if Config.args.port is not None: Config.args.port = int(args.port) try: log_level = { 'critical': logging.CRITICAL, 'error': logging.ERROR, 'warn': logging.WARN, 'info': logging.INFO, 'debug': logging.DEBUG }[args.log] except KeyError: log_level = logging.INFO logging.basicConfig( format='[%(levelname)s][%(asctime)s]: %(message)s', level=log_level, datefmt='%H:%M:%S') cls._instance = super(Config, cls).__new__(cls) if 'config_file' in os.environ: filename = os.environ['config_file'] else: filename = args.config YamlIncludeConstructor.add_to_loader_class( loader_class=yaml.SafeLoader, base_dir='./configs') if os.path.isfile(filename): with open(filename, 'r', encoding="utf8") as config_file: config = yaml.load(config_file, Loader=yaml.SafeLoader) else: config = Config.default_config() Config.clients = Config.namedtuple_from_dict(config['clients']) Config.server = Config.namedtuple_from_dict(config['server']) Config.data = Config.namedtuple_from_dict(config['data']) Config.trainer = Config.namedtuple_from_dict(config['trainer']) Config.algorithm = Config.namedtuple_from_dict(config['algorithm']) if Config.args.server is not None: Config.server = Config.server._replace( address=args.server.split(':')[0]) Config.server = Config.server._replace( port=args.server.split(':')[1]) if Config.args.download: Config.clients = Config.clients._replace(total_clients=1) Config.clients = Config.clients._replace(per_round=1) if 'results' in config: Config.results = Config.namedtuple_from_dict(config['results']) if hasattr(Config().results, 'results_dir'): Config.result_dir = Config.results.results_dir else: datasource = Config.data.datasource model = Config.trainer.model_name server_type = Config.algorithm.type Config.result_dir = f'./results/{datasource}/{model}/{server_type}/' if 'model' in config: Config.model = Config.namedtuple_from_dict(config['model']) if hasattr(Config().trainer, 'max_concurrency'): Config.sql_connection = sqlite3.connect( "/tmp/running_trainers.sqlitedb") Config().cursor = Config.sql_connection.cursor() Config.params: dict = {} Config.params['run_id'] = os.getpid() Config.params['model_dir'] = "./models/pretrained/" Config.params['pretrained_model_dir'] = "./models/pretrained/" return cls._instance @staticmethod def namedtuple_from_dict(obj): if isinstance(obj, dict): fields = sorted(obj.keys()) namedtuple_type = namedtuple(typename='Config', field_names=fields, rename=True) field_value_pairs = OrderedDict( (str(field), Config.namedtuple_from_dict(obj[field])) for field in fields) try: return namedtuple_type(**field_value_pairs) except TypeError: return dict(**field_value_pairs) elif isinstance(obj, (list, set, tuple, frozenset)): return [Config.namedtuple_from_dict(item) for item in obj] else: return obj @staticmethod def is_edge_server() -> bool: return Config().args.port is not None @staticmethod def is_central_server() -> bool: return hasattr(Config().algorithm, 'cross_silo') and Config().args.port is None @staticmethod def device() -> str: device = 'cpu' if hasattr(Config().trainer, 'use_mindspore'): pass elif hasattr(Config().trainer, 'use_tensorflow'): import tensorflow as tf gpus = tf.config.experimental.list_physical_devices('GPU') if len(gpus) > 0: device = 'GPU' tf.config.experimental.set_visible_devices( gpus[random.randint(0, len(gpus) - 1)], 'GPU') else: import torch if torch.cuda.is_available() and torch.cuda.device_count() > 0: if hasattr(Config().trainer, 'parallelized') and Config().trainer.parallelized: device = 'cuda' else: device = 'cuda:' + str( random.randint(0, torch.cuda.device_count() - 1)) return device @staticmethod def is_parallel() -> bool: import torch return hasattr(Config().trainer, 'parallelized') and Config( ).trainer.parallelized and torch.cuda.is_available( ) and torch.distributed.is_available( ) and torch.cuda.device_count() > 1 @staticmethod def default_config() -> dict: config = {} config['clients'] = {} config['clients']['type'] = 'simple' config['clients']['total_clients'] = 1 config['clients']['per_round'] = 1 config['clients']['do_test'] = False config['server'] = {} config['server']['address'] = '127.0.0.1' config['server']['port'] = 8000 config['server']['disable_clients'] = True config['data'] = {} config['data']['datasource'] = 'MNIST' config['data']['data_path'] = './data' config['data']['partition_size'] = 20000 config['data']['sampler'] = 'iid' config['data']['random_seed'] = 1 config['trainer'] = {} config['trainer']['type'] = 'basic' config['trainer']['rounds'] = 5 config['trainer']['parallelized'] = False config['trainer']['target_accuracy'] = 0.94 config['trainer']['epochs'] = 5 config['trainer']['batch_size'] = 32 config['trainer']['optimizer'] = 'SGD' config['trainer']['learning_rate'] = 0.01 config['trainer']['momentum'] = 0.9 config['trainer']['weight_decay'] = 0.0 config['trainer']['model_name'] = 'lenet5' config['algorithm'] = {} config['algorithm']['type'] = 'fedavg' return config @staticmethod def store() -> None: data = {} data['clients'] = Config.clients._asdict() data['server'] = Config.server._asdict() data['data'] = Config.data._asdict() data['trainer'] = Config.trainer._asdict() data['algorithm'] = Config.algorithm._asdict() with open(Config.args.config, "w", encoding="utf8") as out: yaml.dump(data, out, default_flow_style=False)

true

f7fc238f1f143456aef7e7a21b8a683d4371cde6

124,371

py

Python

core/controllers/acl_decorators_test.py

davehenton/oppia

62a9e9ea8458632e39b8ab4cf15b0489ac1acad9

[ "Apache-2.0" ]

2

2019-12-02T18:56:49.000Z

2020-03-14T17:14:15.000Z

core/controllers/acl_decorators_test.py

davehenton/oppia

62a9e9ea8458632e39b8ab4cf15b0489ac1acad9

[ "Apache-2.0" ]

2

2019-09-11T23:11:48.000Z

2019-11-29T06:04:52.000Z

core/controllers/acl_decorators_test.py

davehenton/oppia

62a9e9ea8458632e39b8ab4cf15b0489ac1acad9

[ "Apache-2.0" ]

2

2019-12-02T18:56:56.000Z

2020-03-16T08:03:45.000Z

# coding: utf-8 # # Copyright 2017 The Oppia 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. """Tests for core.domain.acl_decorators.""" from __future__ import absolute_import # pylint: disable=import-only-modules from __future__ import unicode_literals # pylint: disable=import-only-modules from core.controllers import acl_decorators from core.controllers import base from core.domain import question_services from core.domain import rights_manager from core.domain import skill_services from core.domain import story_services from core.domain import suggestion_services from core.domain import topic_domain from core.domain import topic_services from core.domain import user_services from core.tests import test_utils import feconf import webapp2 import webtest class PlayExplorationDecoratorTests(test_utils.GenericTestBase): """Tests for play exploration decorator.""" user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_play_exploration def get(self, exploration_id): return self.render_json({'exploration_id': exploration_id}) def setUp(self): super(PlayExplorationDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_play_exploration/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_access_exploration_with_disabled_exploration_ids(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_exploration/%s' % (feconf.DISABLED_EXPLORATION_IDS[0]), expected_status_int=404) def test_guest_can_access_published_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_exploration/%s' % self.published_exp_id) self.assertEqual(response['exploration_id'], self.published_exp_id) def test_guest_cannot_access_private_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_exploration/%s' % self.private_exp_id, expected_status_int=404) def test_admin_can_access_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_owner_can_access_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_logged_in_user_cannot_access_not_owned_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_exploration/%s' % self.private_exp_id, expected_status_int=404) self.logout() class PlayCollectionDecoratorTests(test_utils.GenericTestBase): """Tests for play collection decorator.""" user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' published_col_id = 'col_id_1' private_col_id = 'col_id_2' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_play_collection def get(self, collection_id): return self.render_json({'collection_id': collection_id}) def setUp(self): super(PlayCollectionDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_play_collection/<collection_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) self.save_new_valid_collection( self.published_col_id, self.owner_id, exploration_id=self.published_col_id) self.save_new_valid_collection( self.private_col_id, self.owner_id, exploration_id=self.private_col_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) rights_manager.publish_collection(self.owner, self.published_col_id) def test_guest_can_access_published_collection(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_collection/%s' % self.published_col_id) self.assertEqual(response['collection_id'], self.published_col_id) def test_guest_cannot_access_private_collection(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_collection/%s' % self.private_col_id, expected_status_int=404) def test_admin_can_access_private_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_owner_can_access_private_collection(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_logged_in_user_cannot_access_not_owned_private_collection(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_collection/%s' % self.private_col_id, expected_status_int=404) self.logout() def test_cannot_access_collection_with_invalid_collection_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_collection/invalid_collection_id', expected_status_int=404) self.logout() class EditCollectionDecoratorTests(test_utils.GenericTestBase): """Tests for can_edit_collection decorator.""" user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' published_col_id = 'col_id_1' private_col_id = 'col_id_2' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_collection def get(self, collection_id): return self.render_json({'collection_id': collection_id}) def setUp(self): super(EditCollectionDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.set_moderators([self.MODERATOR_USERNAME]) self.set_collection_editors([self.OWNER_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_edit_collection/<collection_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) self.save_new_valid_collection( self.published_col_id, self.owner_id, exploration_id=self.published_col_id) self.save_new_valid_collection( self.private_col_id, self.owner_id, exploration_id=self.private_col_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) rights_manager.publish_collection(self.owner, self.published_col_id) def test_can_not_edit_collection_with_invalid_collection_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_collection/invalid_col_id', expected_status_int=404) self.logout() def test_guest_cannot_edit_collection_via_json_handler(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_collection/%s' % self.published_col_id, expected_status_int=401) def test_guest_is_redirected_when_using_html_handler(self): with self.swap( self.MockHandler, 'GET_HANDLER_ERROR_RETURN_TYPE', feconf.HANDLER_TYPE_HTML): response = self.mock_testapp.get( '/mock_edit_collection/%s' % self.published_col_id, expect_errors=True) self.assertEqual(response.status_int, 302) def test_normal_user_cannot_edit_collection(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_collection/%s' % self.private_col_id, expected_status_int=401) self.logout() def test_owner_can_edit_owned_collection(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_moderator_cannot_edit_private_collection(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_collection/%s' % self.private_col_id, expected_status_int=401) self.logout() def test_moderator_can_edit_public_collection(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_collection/%s' % self.published_col_id) self.assertEqual(response['collection_id'], self.published_col_id) self.logout() def test_admin_can_edit_any_private_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() class CreateExplorationDecoratorTests(test_utils.GenericTestBase): """Tests for can_create_exploration decorator.""" username = 'banneduser' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_exploration def get(self): self.render_json({'success': True}) def setUp(self): super(CreateExplorationDecoratorTests, self).setUp() self.signup(self.EDITOR_EMAIL, self.EDITOR_USERNAME) self.signup(self.user_email, self.username) self.set_banned_users([self.username]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/create', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_create_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/create', expected_status_int=401) self.logout() def test_normal_user_can_create_exploration(self): self.login(self.EDITOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/create') self.assertEqual(response['success'], True) self.logout() def test_guest_cannot_create_exploration_via_json_handler(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/create', expected_status_int=401) def test_guest_is_redirected_when_using_html_handler(self): with self.swap( self.MockHandler, 'GET_HANDLER_ERROR_RETURN_TYPE', feconf.HANDLER_TYPE_HTML): response = self.mock_testapp.get('/mock/create', expect_errors=True) self.assertEqual(response.status_int, 302) class CreateCollectionDecoratorTests(test_utils.GenericTestBase): """Tests for can_create_collection decorator.""" username = 'collectioneditor' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_collection def get(self): self.render_json({'success': True}) def setUp(self): super(CreateCollectionDecoratorTests, self).setUp() self.signup(self.EDITOR_EMAIL, self.EDITOR_USERNAME) self.signup(self.user_email, self.username) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_collection_editors([self.username]) self.set_admins([self.ADMIN_USERNAME]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/create', self.MockHandler)], debug=feconf.DEBUG, )) def test_guest_cannot_create_collection_via_json_handler(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/create', expected_status_int=401) def test_guest_is_redirected_when_using_html_handler(self): with self.swap( self.MockHandler, 'GET_HANDLER_ERROR_RETURN_TYPE', feconf.HANDLER_TYPE_HTML): response = self.mock_testapp.get('/mock/create', expect_errors=True) self.assertEqual(response.status_int, 302) def test_normal_user_cannot_create_collection(self): self.login(self.EDITOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/create', expected_status_int=401) self.logout() def test_collection_editor_can_create_collection(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/create') self.assertEqual(response['success'], True) self.logout() def test_admins_can_create_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/create') self.assertEqual(response['success'], True) self.logout() class AccessCreatorDashboardTests(test_utils.GenericTestBase): """Tests for can_access_creator_dashboard decorator.""" username = 'banneduser' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_access_creator_dashboard def get(self): self.render_json({'success': True}) def setUp(self): super(AccessCreatorDashboardTests, self).setUp() self.signup(self.EDITOR_EMAIL, self.EDITOR_USERNAME) self.signup(self.user_email, self.username) self.set_banned_users([self.username]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/access', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_access_editor_dashboard(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/access', expected_status_int=401) self.logout() def test_normal_user_can_access_editor_dashboard(self): self.login(self.EDITOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/access') self.assertEqual(response['success'], True) class CommentOnFeedbackThreadTests(test_utils.GenericTestBase): """Tests for can_comment_on_feedback_thread decorator.""" published_exp_id = 'exp_0' private_exp_id = 'exp_1' viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_comment_on_feedback_thread def get(self, thread_id): self.render_json({'thread_id': thread_id}) def setUp(self): super(CommentOnFeedbackThreadTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.viewer_email, self.viewer_username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_comment_on_feedback_thread/<thread_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_comment_on_feedback_threads_with_disabled_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % feconf.DISABLED_EXPLORATION_IDS[0], expected_status_int=404) self.logout() def test_viewer_cannot_comment_on_feedback_for_private_exploration(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to comment on ' 'exploration feedback.') self.logout() def test_can_not_comment_on_feedback_threads_with_invalid_thread_id(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_comment_on_feedback_thread/invalid_thread_id', expected_status_int=400) self.assertEqual(response['error'], 'Thread ID must contain a .') self.logout() def test_guest_cannot_comment_on_feedback_threads_via_json_handler(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.private_exp_id), expected_status_int=401) self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.published_exp_id), expected_status_int=401) def test_guest_is_redirected_when_using_html_handler(self): with self.swap( self.MockHandler, 'GET_HANDLER_ERROR_RETURN_TYPE', feconf.HANDLER_TYPE_HTML): response = self.mock_testapp.get( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.private_exp_id), expect_errors=True) self.assertEqual(response.status_int, 302) response = self.mock_testapp.get( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.published_exp_id), expect_errors=True) self.assertEqual(response.status_int, 302) def test_owner_can_comment_on_feedback_for_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.private_exp_id)) self.logout() def test_moderator_can_comment_on_feeback_for_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.published_exp_id)) self.logout() def test_admin_can_comment_on_feeback_for_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.private_exp_id)) self.logout() class CreateFeedbackThreadTests(test_utils.GenericTestBase): """Tests for can_create_feedback_thread decorator.""" published_exp_id = 'exp_0' private_exp_id = 'exp_1' viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_feedback_thread def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(CreateFeedbackThreadTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.viewer_email, self.viewer_username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_create_feedback_thread/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_create_feedback_threads_with_disabled_exp_id(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % (feconf.DISABLED_EXPLORATION_IDS[0]), expected_status_int=404) def test_viewer_cannot_create_feedback_for_private_exploration(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_feedback_thread/%s' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to create ' 'exploration feedback.') self.logout() def test_guest_can_create_feedback_threads_for_public_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % self.published_exp_id) def test_owner_cannot_create_feedback_for_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % self.private_exp_id) self.logout() def test_moderator_can_create_feeback_for_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % self.published_exp_id) self.logout() def test_admin_can_create_feeback_for_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % self.private_exp_id) self.logout() class ViewFeedbackThreadTests(test_utils.GenericTestBase): """Tests for can_view_feedback_thread decorator.""" published_exp_id = 'exp_0' private_exp_id = 'exp_1' viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_view_feedback_thread def get(self, thread_id): self.render_json({'thread_id': thread_id}) def setUp(self): super(ViewFeedbackThreadTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.viewer_email, self.viewer_username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_view_feedback_thread/<thread_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_view_feedback_threads_with_disabled_exp_id(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % feconf.DISABLED_EXPLORATION_IDS[0], expected_status_int=404) def test_viewer_cannot_view_feedback_for_private_exploration(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to view ' 'exploration feedback.') self.logout() def test_guest_can_view_feedback_threads_for_public_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % (self.published_exp_id)) def test_owner_cannot_view_feedback_for_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % (self.private_exp_id)) self.logout() def test_moderator_can_view_feeback_for_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % (self.published_exp_id)) self.logout() def test_admin_can_view_feeback_for_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % (self.private_exp_id)) self.logout() class ManageEmailDashboardTests(test_utils.GenericTestBase): """Tests for can_manage_email_dashboard decorator.""" query_id = 'query_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_manage_email_dashboard def get(self): return self.render_json({'success': 1}) @acl_decorators.can_manage_email_dashboard def put(self, query_id): return self.render_json({'query_id': query_id}) def setUp(self): super(ManageEmailDashboardTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.set_moderators([self.MODERATOR_USERNAME]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [ webapp2.Route('/mock/', self.MockHandler), webapp2.Route('/mock/<query_id>', self.MockHandler) ], debug=feconf.DEBUG, )) def test_moderator_cannot_access_email_dashboard(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_admin_can_access_email_dashboard(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], 1) with self.swap(self, 'testapp', self.mock_testapp): response = self.mock_testapp.put('/mock/%s' % self.query_id) self.assertEqual(response.status_int, 200) self.logout() class RateExplorationTests(test_utils.GenericTestBase): """Tests for can_rate_exploration decorator.""" username = 'user' user_email = 'user@example.com' exp_id = 'exp_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_rate_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(RateExplorationTests, self).setUp() self.signup(self.user_email, self.username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) def test_guest_cannot_give_rating(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.exp_id, expected_status_int=401) def test_normal_user_can_give_rating(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.exp_id) self.assertEqual(response['exploration_id'], self.exp_id) self.logout() class AccessModeratorPageTests(test_utils.GenericTestBase): username = 'user' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_access_moderator_page def get(self): return self.render_json({'success': 1}) def setUp(self): super(AccessModeratorPageTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.set_admins([self.ADMIN_USERNAME]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_normal_user_cannot_access_moderator_page(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_admin_can_access_moderator_page(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], 1) self.logout() class FlagExplorationTests(test_utils.GenericTestBase): """Tests for can_flag_exploration decorator.""" username = 'user' user_email = 'user@example.com' exp_id = 'exp_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_flag_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(FlagExplorationTests, self).setUp() self.signup(self.user_email, self.username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) def test_guest_cannot_flag_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.exp_id, expected_status_int=401) def test_normal_user_can_flag_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.exp_id) self.assertEqual(response['exploration_id'], self.exp_id) self.logout() class SubscriptionToUsersTests(test_utils.GenericTestBase): """Tests for can_subscribe_to_users decorator.""" username = 'user' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_subscribe_to_users def get(self): self.render_json({'success': True}) def setUp(self): super(SubscriptionToUsersTests, self).setUp() self.signup(self.user_email, self.username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_guest_cannot_subscribe_to_users(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) def test_normal_user_can_subscribe_to_users(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], True) self.logout() class SendModeratorEmailsTests(test_utils.GenericTestBase): username = 'user' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_send_moderator_emails def get(self): return self.render_json({'success': 1}) def setUp(self): super(SendModeratorEmailsTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.set_admins([self.ADMIN_USERNAME]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_normal_user_cannot_send_moderator_emails(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_admin_can_send_moderator_emails(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], 1) self.logout() class VoiceoverExplorationTests(test_utils.GenericTestBase): """Tests for can_voiceover_exploration decorator.""" role = rights_manager.ROLE_VOICE_ARTIST username = 'user' user_email = 'user@example.com' banned_username = 'banneduser' banned_user_email = 'banneduser@example.com' published_exp_id_1 = 'exp_1' published_exp_id_2 = 'exp_2' private_exp_id_1 = 'exp_3' private_exp_id_2 = 'exp_4' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_voiceover_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(VoiceoverExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.signup(self.banned_user_email, self.banned_username) self.signup(self.VOICE_ARTIST_EMAIL, self.VOICE_ARTIST_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.voice_artist_id = self.get_user_id_from_email( self.VOICE_ARTIST_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.set_banned_users([self.banned_username]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id_1, self.owner_id) self.save_new_valid_exploration( self.published_exp_id_2, self.owner_id) self.save_new_valid_exploration( self.private_exp_id_1, self.owner_id) self.save_new_valid_exploration( self.private_exp_id_2, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id_1) rights_manager.publish_exploration(self.owner, self.published_exp_id_2) rights_manager.assign_role_for_exploration( self.owner, self.published_exp_id_1, self.voice_artist_id, self.role) rights_manager.assign_role_for_exploration( self.owner, self.private_exp_id_1, self.voice_artist_id, self.role) def test_banned_user_cannot_voiceover_exploration(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() def test_owner_can_voiceover_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) self.logout() def test_moderator_can_voiceover_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.published_exp_id_1) self.assertEqual(response['exploration_id'], self.published_exp_id_1) self.logout() def test_moderator_cannot_voiceover_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() def test_admin_can_voiceover_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) self.logout() def test_voice_artist_can_only_voiceover_assigned_public_exploration(self): self.login(self.VOICE_ARTIST_EMAIL) # Checking voice artist can voiceover assigned public exploration. with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.published_exp_id_1) self.assertEqual(response['exploration_id'], self.published_exp_id_1) # Checking voice artist cannot voiceover public exploration which he/she # is not assigned for. with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.published_exp_id_2, expected_status_int=401) self.logout() def test_voice_artist_can_only_voiceover_assigned_private_exploration(self): self.login(self.VOICE_ARTIST_EMAIL) # Checking voice artist can voiceover assigned private exploration. with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) # Checking voice artist cannot voiceover private exploration which # he/she is not assigned for. with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_2, expected_status_int=401) self.logout() def test_user_without_voice_artist_role_of_exploration_cannot_voiceover_public_exploration(self): # pylint: disable=line-too-long self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.published_exp_id_1, expected_status_int=401) self.logout() def test_user_without_voice_artist_role_of_exploration_cannot_voiceover_private_exploration(self): # pylint: disable=line-too-long self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() class EditExplorationTests(test_utils.GenericTestBase): """Tests for can_edit_exploration decorator.""" username = 'banneduser' user_email = 'user@example.com' published_exp_id = 'exp_0' private_exp_id = 'exp_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(EditExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.set_banned_users([self.username]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_edit_exploration/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_edit_exploration_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_exploration/invalid_exp_id', expected_status_int=404) self.logout() def test_banned_user_cannot_edit_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_exploration/%s' % self.private_exp_id, expected_status_int=401) self.logout() def test_owner_can_edit_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_moderator_can_edit_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_exploration/%s' % self.published_exp_id) self.assertEqual(response['exploration_id'], self.published_exp_id) self.logout() def test_moderator_cannot_edit_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_exploration/%s' % self.private_exp_id, expected_status_int=401) self.logout() def test_admin_can_edit_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() class ManageOwnProfileTests(test_utils.GenericTestBase): """Tests for decorator can_manage_own_profile.""" banned_user = 'banneduser' banned_user_email = 'banned@example.com' username = 'user' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_manage_own_profile def get(self): return self.render_json({'success': 1}) def setUp(self): super(ManageOwnProfileTests, self).setUp() self.signup(self.banned_user_email, self.banned_user) self.signup(self.user_email, self.username) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_update_preferences(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_normal_user_can_manage_preferences(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], 1) self.logout() class UploadExplorationTests(test_utils.GenericTestBase): """Tests for can_upload_exploration decorator.""" class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_upload_exploration def get(self): return self.render_json({}) def setUp(self): super(UploadExplorationTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.EDITOR_EMAIL, self.EDITOR_USERNAME) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_upload_exploration/', self.MockHandler)], debug=feconf.DEBUG, )) def test_super_admin_can_upload_explorations(self): self.login(self.ADMIN_EMAIL, is_super_admin=True) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_upload_exploration/') self.logout() def test_normal_user_cannot_upload_explorations(self): self.login(self.EDITOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_upload_exploration/', expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to upload exploration.') self.logout() def test_guest_cannot_upload_explorations(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_upload_exploration/', expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class DeleteExplorationTests(test_utils.GenericTestBase): """Tests for can_delete_exploration decorator.""" private_exp_id = 'exp_0' published_exp_id = 'exp_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_delete_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(DeleteExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.set_moderators([self.MODERATOR_USERNAME]) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) self.moderator_id = self.get_user_id_from_email(self.MODERATOR_EMAIL) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_delete_exploration/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_guest_can_not_delete_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') def test_owner_can_delete_owned_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_moderator_can_delete_published_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.published_exp_id) self.assertEqual(response['exploration_id'], self.published_exp_id) self.logout() def test_owner_cannot_delete_published_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.published_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'User %s does not have permissions to delete exploration %s' % (self.owner_id, self.published_exp_id)) self.logout() def test_moderator_cannot_delete_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'User %s does not have permissions to delete exploration %s' % (self.moderator_id, self.private_exp_id)) self.logout() class SuggestChangesToExplorationTests(test_utils.GenericTestBase): """Tests for can_suggest_changes_to_exploration decorator.""" username = 'user' user_email = 'user@example.com' banned_username = 'banneduser' banned_user_email = 'banned@example.com' exploration_id = 'exp_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_suggest_changes_to_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(SuggestChangesToExplorationTests, self).setUp() self.signup(self.user_email, self.username) self.signup(self.banned_user_email, self.banned_username) self.set_banned_users([self.banned_username]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_suggest_changes(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.exploration_id, expected_status_int=401) self.logout() def test_normal_user_can_suggest_changes(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.exploration_id) self.assertEqual(response['exploration_id'], self.exploration_id) self.logout() class SuggestChangesDecoratorsTests(test_utils.GenericTestBase): """Tests for can_suggest_changes decorator.""" username = 'user' user_email = 'user@example.com' banned_username = 'banneduser' banned_user_email = 'banned@example.com' exploration_id = 'exp_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_suggest_changes def get(self): self.render_json({}) def setUp(self): super(SuggestChangesDecoratorsTests, self).setUp() self.signup(self.user_email, self.username) self.signup(self.banned_user_email, self.banned_username) self.set_banned_users([self.banned_username]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_suggest_changes(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock', expected_status_int=401) self.logout() def test_normal_user_can_suggest_changes(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock') self.logout() class ResubmitSuggestionDecoratorsTests(test_utils.GenericTestBase): """Tests for can_resubmit_suggestion decorator.""" owner_username = 'owner' owner_email = 'owner@example.com' author_username = 'author' author_email = 'author@example.com' username = 'user' user_email = 'user@example.com' TARGET_TYPE = 'exploration' SUGGESTION_TYPE = 'edit_exploration_state_content' exploration_id = 'exp_id' target_version_id = 1 change_dict = { 'cmd': 'edit_state_property', 'property_name': 'content', 'state_name': 'Introduction', 'new_value': '' } class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_resubmit_suggestion def get(self, suggestion_id): self.render_json({'suggestion_id': suggestion_id}) def setUp(self): super(ResubmitSuggestionDecoratorsTests, self).setUp() self.signup(self.author_email, self.author_username) self.signup(self.user_email, self.username) self.signup(self.owner_email, self.owner_username) self.author_id = self.get_user_id_from_email(self.author_email) self.owner_id = self.get_user_id_from_email(self.owner_email) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<suggestion_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_default_exploration(self.exploration_id, self.owner_id) suggestion_services.create_suggestion( self.SUGGESTION_TYPE, self.TARGET_TYPE, self.exploration_id, self.target_version_id, self.author_id, self.change_dict, '', None) suggestion = suggestion_services.query_suggestions( [('author_id', self.author_id), ('target_id', self.exploration_id)])[0] self.suggestion_id = suggestion.suggestion_id def test_author_can_resubmit_suggestion(self): self.login(self.author_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.suggestion_id) self.assertEqual(response['suggestion_id'], self.suggestion_id) self.logout() def test_non_author_cannot_resubmit_suggestion(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.suggestion_id, expected_status_int=401) self.logout() class DecoratorForAcceptingSuggestionTests(test_utils.GenericTestBase): """Tests for get_decorator_for_accepting_suggestion decorator.""" AUTHOR_USERNAME = 'author' AUTHOR_EMAIL = 'author@example.com' VIEWER_USERNAME = 'user' VIEWER_EMAIL = 'user@example.com' TARGET_TYPE = 'exploration' SUGGESTION_TYPE = 'edit_exploration_state_content' EXPLORATION_ID = 'exp_id' TARGET_VERSION_ID = 1 CHANGE_DICT = { 'cmd': 'edit_state_property', 'property_name': 'content', 'state_name': 'Introduction', 'new_value': '' } class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.get_decorator_for_accepting_suggestion( acl_decorators.can_edit_exploration) def get(self, target_id, suggestion_id): self.render_json({ 'target_id': target_id, 'suggestion_id': suggestion_id }) def setUp(self): super(DecoratorForAcceptingSuggestionTests, self).setUp() self.signup(self.AUTHOR_EMAIL, self.AUTHOR_USERNAME) self.signup(self.VIEWER_EMAIL, self.VIEWER_USERNAME) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.author_id = self.get_user_id_from_email(self.AUTHOR_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_accept_suggestion/<target_id>/<suggestion_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_default_exploration(self.EXPLORATION_ID, self.owner_id) rights_manager.publish_exploration(self.owner, self.EXPLORATION_ID) suggestion_services.create_suggestion( self.SUGGESTION_TYPE, self.TARGET_TYPE, self.EXPLORATION_ID, self.TARGET_VERSION_ID, self.author_id, self.CHANGE_DICT, '', None) suggestion = suggestion_services.query_suggestions( [('author_id', self.author_id), ('target_id', self.EXPLORATION_ID)])[0] self.suggestion_id = suggestion.suggestion_id def test_guest_cannot_accept_suggestion(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_accept_suggestion/%s/%s' % (self.EXPLORATION_ID, self.suggestion_id), expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') def test_owner_can_accept_suggestion(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_accept_suggestion/%s/%s' % (self.EXPLORATION_ID, self.suggestion_id)) self.assertEqual(response['suggestion_id'], self.suggestion_id) self.assertEqual(response['target_id'], self.EXPLORATION_ID) self.logout() def test_viewer_cannot_accept_suggestion(self): self.login(self.VIEWER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_accept_suggestion/%s/%s' % (self.EXPLORATION_ID, self.suggestion_id), expected_status_int=401) self.logout() class PublishExplorationTests(test_utils.GenericTestBase): """Tests for can_publish_exploration decorator.""" private_exp_id = 'exp_0' public_exp_id = 'exp_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_publish_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(PublishExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_publish_exploration/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.public_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.public_exp_id) def test_cannot_publish_exploration_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_exploration/invalid_exp_id', expected_status_int=404) self.logout() def test_owner_can_publish_owned_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_publish_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_already_published_exploration_cannot_be_published(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_exploration/%s' % self.public_exp_id, expected_status_int=401) self.logout() def test_moderator_cannot_publish_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_exploration/%s' % self.private_exp_id, expected_status_int=401) self.logout() def test_admin_can_publish_any_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_publish_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) class ModifyExplorationRolesTests(test_utils.GenericTestBase): """Tests for can_modify_exploration_roles decorator.""" private_exp_id = 'exp_0' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_modify_exploration_roles def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(ModifyExplorationRolesTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) def test_owner_can_modify_exploration_roles(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_moderator_cannot_modify_roles_of_unowned_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id, expected_status_int=401) self.logout() def test_admin_can_modify_roles_of_any_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() class CollectionPublishStatusTests(test_utils.GenericTestBase): """Tests can_publish_collection and can_unpublish_collection decorators.""" user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' published_col_id = 'col_id_1' private_col_id = 'col_id_2' class MockPublishHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_publish_collection def get(self, collection_id): return self.render_json({'collection_id': collection_id}) class MockUnpublishHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_unpublish_collection def get(self, collection_id): return self.render_json({'collection_id': collection_id}) def setUp(self): super(CollectionPublishStatusTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.set_moderators([self.MODERATOR_USERNAME]) self.set_collection_editors([self.OWNER_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [ webapp2.Route( '/mock_publish_collection/<collection_id>', self.MockPublishHandler), webapp2.Route( '/mock_unpublish_collection/<collection_id>', self.MockUnpublishHandler) ], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) self.save_new_valid_collection( self.published_col_id, self.owner_id, exploration_id=self.published_col_id) self.save_new_valid_collection( self.private_col_id, self.owner_id, exploration_id=self.private_col_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) rights_manager.publish_collection(self.owner, self.published_col_id) def test_cannot_publish_collection_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_collection/invalid_col_id', expected_status_int=404) self.logout() def test_cannot_unpublish_collection_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_unpublish_collection/invalid_col_id', expected_status_int=404) self.logout() def test_owner_can_publish_collection(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_publish_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_owner_cannot_unpublish_public_collection(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_unpublish_collection/%s' % self.published_col_id, expected_status_int=401) self.logout() def test_moderator_can_unpublish_public_collection(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_unpublish_collection/%s' % self.published_col_id) self.assertEqual(response['collection_id'], self.published_col_id) self.logout() def test_admin_can_publish_any_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_publish_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_admin_cannot_publish_already_published_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_collection/%s' % self.published_col_id, expected_status_int=401) self.logout() class AccessLearnerDashboardDecoratorTests(test_utils.GenericTestBase): """Tests the decorator can_access_learner_dashboard.""" user = 'user' user_email = 'user@example.com' banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_access_learner_dashboard def get(self): return self.render_json({}) def setUp(self): super(AccessLearnerDashboardDecoratorTests, self).setUp() self.signup(self.user_email, self.user) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_is_redirected(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_exploration_editor_can_access_learner_dashboard(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/') self.logout() class EditTopicDecoratorTests(test_utils.GenericTestBase): """Tests the decorator can_edit_topic.""" manager_username = 'topicmanager' manager_email = 'topicmanager@example.com' viewer_username = 'viewer' viewer_email = 'viewer@example.com' topic_id = 'topic_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_topic def get(self, topic_id): self.render_json({'topic_id': topic_id}) def setUp(self): super(EditTopicDecoratorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.manager_email, self.manager_username) self.signup(self.viewer_email, self.viewer_username) self.set_admins([self.ADMIN_USERNAME]) self.set_topic_managers([self.manager_username]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.manager_id = self.get_user_id_from_email(self.manager_email) self.viewer_id = self.get_user_id_from_email(self.viewer_email) self.admin = user_services.UserActionsInfo(self.admin_id) self.manager = user_services.UserActionsInfo(self.manager_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_edit_topic/<topic_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_topic( self.topic_id, self.viewer_id, 'Name', 'abbrev', None, 'Description', [], [], [], [], 1) topic_services.create_new_topic_rights(self.topic_id, self.admin_id) topic_services.assign_role( self.admin, self.manager, topic_domain.ROLE_MANAGER, self.topic_id) def test_can_not_edit_topic_with_invalid_topic_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_topic/invalid_topic_id', expected_status_int=404) self.logout() def test_admin_can_edit_topic(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_topic/%s' % self.topic_id) self.assertEqual(response['topic_id'], self.topic_id) self.logout() def test_topic_manager_can_edit_topic(self): self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_topic/%s' % self.topic_id) self.assertEqual(response['topic_id'], self.topic_id) self.logout() def test_normal_user_cannot_edit_topic(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_topic/%s' % self.topic_id, expected_status_int=401) self.logout() class EditStoryDecoratorTests(test_utils.GenericTestBase): """Tests the decorator can_edit_story.""" manager_username = 'topicmanager' manager_email = 'topicmanager@example.com' viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_story def get(self, story_id): self.render_json({'story_id': story_id}) def setUp(self): super(EditStoryDecoratorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_edit_story/<story_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.story_id = story_services.get_new_story_id() self.topic_id = topic_services.get_new_topic_id() self.save_new_story( self.story_id, self.admin_id, 'Title', 'Description', 'Notes', self.topic_id) self.save_new_topic( self.topic_id, self.admin_id, 'Name', 'abbrev', None, 'Description', [self.story_id], [], [], [], 1) topic_services.create_new_topic_rights(self.topic_id, self.admin_id) def test_can_not_edit_story_with_invalid_story_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_story/story_id_new', expected_status_int=404) self.logout() def test_can_not_edit_story_with_invalid_topic_id(self): self.login(self.ADMIN_EMAIL) story_id = story_services.get_new_story_id() topic_id = topic_services.get_new_topic_id() self.save_new_story( story_id, self.admin_id, 'Title', 'Description', 'Notes', topic_id) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_story/%s' % story_id, expected_status_int=404) self.logout() def test_admin_can_edit_story(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_story/%s' % self.story_id) self.assertEqual(response['story_id'], self.story_id) self.logout() def test_topic_manager_can_edit_story(self): self.signup(self.manager_email, self.manager_username) self.set_topic_managers([self.manager_username]) manager_id = self.get_user_id_from_email(self.manager_email) manager = user_services.UserActionsInfo(manager_id) topic_services.assign_role( self.admin, manager, topic_domain.ROLE_MANAGER, self.topic_id) self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_story/%s' % self.story_id) self.assertEqual(response['story_id'], self.story_id) self.logout() def test_normal_user_cannot_edit_story(self): self.signup(self.viewer_email, self.viewer_username) self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_story/%s' % self.story_id, expected_status_int=401) self.logout() class AddStoryToTopicTests(test_utils.GenericTestBase): """Tests for decorator can_add_new_story_to_topic.""" manager_username = 'topicmanager' manager_email = 'topicmanager@example.com' viewer_username = 'viewer' viewer_email = 'viewer@example.com' topic_id = 'topic_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_add_new_story_to_topic def get(self, topic_id): self.render_json({'topic_id': topic_id}) def setUp(self): super(AddStoryToTopicTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.manager_email, self.manager_username) self.signup(self.viewer_email, self.viewer_username) self.set_admins([self.ADMIN_USERNAME]) self.set_topic_managers([self.manager_username]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.manager_id = self.get_user_id_from_email(self.manager_email) self.admin = user_services.UserActionsInfo(self.admin_id) self.manager = user_services.UserActionsInfo(self.manager_id) self.viewer_id = self.get_user_id_from_email(self.viewer_email) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_add_story_to_topic/<topic_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_topic( self.topic_id, self.viewer_id, 'Name', 'abbrev', None, 'Description', [], [], [], [], 1) topic_services.create_new_topic_rights(self.topic_id, self.admin_id) topic_services.assign_role( self.admin, self.manager, topic_domain.ROLE_MANAGER, self.topic_id) def test_can_not_add_story_to_topic_with_invalid_topic_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_add_story_to_topic/invalid_topic_id', expected_status_int=404) self.logout() def test_admin_can_add_story_to_topic(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_add_story_to_topic/%s' % self.topic_id) self.assertEqual(response['topic_id'], self.topic_id) self.logout() def test_topic_manager_can_add_story_to_topic(self): self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_add_story_to_topic/%s' % self.topic_id) self.assertEqual(response['topic_id'], self.topic_id) self.logout() def test_normal_user_cannot_add_story_to_topic(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_add_story_to_topic/%s' % self.topic_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to add a story to this topic.') self.logout() def test_guest_cannot_add_story_to_topic(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_add_story_to_topic/%s' % self.topic_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class StoryViewerTests(test_utils.GenericTestBase): """Tests for decorator can_access_story_viewer_page.""" banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_access_story_viewer_page def get(self, story_id): self.render_json({'story_id': story_id}) def setUp(self): super(StoryViewerTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_story/<story_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.topic_id = topic_services.get_new_topic_id() self.story_id = story_services.get_new_story_id() self.save_new_story( self.story_id, self.admin_id, 'Title', 'Description', 'Notes', self.topic_id) self.save_new_topic( self.topic_id, self.admin_id, 'Name', 'abbrev', None, 'Description', [self.story_id], [], [], [], 1) def test_cannot_access_non_existent_story(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_story/story_id', expected_status_int=404) def test_cannot_access_story_when_topic_is_not_published(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_story/%s' % self.story_id, expected_status_int=404) def test_cannot_access_story_when_story_is_not_published(self): topic_services.publish_topic(self.topic_id, self.admin_id) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_story/%s' % self.story_id, expected_status_int=404) def test_can_access_story_when_story_and_topic_are_published(self): topic_services.publish_topic(self.topic_id, self.admin_id) topic_services.publish_story( self.topic_id, self.story_id, self.admin_id) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_story/%s' % self.story_id, expected_status_int=200) class CreateSkillTests(test_utils.GenericTestBase): """Tests for decorator can_create_skill.""" banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_skill def get(self): self.render_json({}) def setUp(self): super(CreateSkillTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_create_skill', self.MockHandler)], debug=feconf.DEBUG, )) def test_admin_can_create_skill(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_create_skill') self.logout() def test_banned_user_cannot_create_skill(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_skill', expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to create a skill.') self.logout() def test_guest_cannot_add_create_skill(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_skill', expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class ManageQuestionSkillStatusTests(test_utils.GenericTestBase): """Tests for decorator can_manage_question_skill_status.""" viewer_username = 'viewer' viewer_email = 'viewer@example.com' skill_id = '1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_manage_question_skill_status def get(self, skill_id): self.render_json({'skill_id': skill_id}) def setUp(self): super(ManageQuestionSkillStatusTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.viewer_email, self.viewer_username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_manage_question_skill_status/<skill_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.question_id = question_services.get_new_question_id() self.question = self.save_new_question( self.question_id, self.admin_id, self._create_valid_question_data('ABC'), [self.skill_id]) question_services.create_new_question_skill_link( self.admin_id, self.question_id, self.skill_id, 0.5) def test_admin_can_manage_question_skill_status(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_question_skill_status/%s' % self.skill_id) self.assertEqual(response['skill_id'], self.skill_id) self.logout() def test_viewer_cannot_manage_question_skill_status(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_question_skill_status/%s' % self.skill_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to publish a question.') self.logout() def test_guest_cannot_manage_question_skill_status(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_question_skill_status/%s' % self.skill_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class CreateTopicTests(test_utils.GenericTestBase): """Tests for decorator can_create_topic.""" banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_topic def get(self): self.render_json({}) def setUp(self): super(CreateTopicTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_create_topic', self.MockHandler)], debug=feconf.DEBUG, )) def test_admin_can_create_topic(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_create_topic') self.logout() def test_banned_user_cannot_create_topic(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_topic', expected_status_int=401) self.assertIn( 'does not have enough rights to create a topic.', response['error']) self.logout() def test_guest_cannot_create_topic(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_topic', expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class ManageRightsForTopicTests(test_utils.GenericTestBase): """Tests for decorator can_manage_rights_for_topic.""" banned_user = 'banneduser' banned_user_email = 'banned@example.com' topic_id = 'topic_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_manage_rights_for_topic def get(self, topic_id): self.render_json({'topic_id': topic_id}) def setUp(self): super(ManageRightsForTopicTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_manage_rights_for_topic/<topic_id>', self.MockHandler)], debug=feconf.DEBUG, )) topic_services.create_new_topic_rights(self.topic_id, self.admin_id) def test_admin_can_manage_rights(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_manage_rights_for_topic/%s' % self.topic_id) self.logout() def test_banned_user_cannot_manage_rights(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_rights_for_topic/%s' % self.topic_id, expected_status_int=401) self.assertIn( 'does not have enough rights to assign roles for the topic.', response['error']) self.logout() def test_guest_cannot_manage_rights(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_rights_for_topic/%s' % self.topic_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class ChangeTopicPublicationStatusTests(test_utils.GenericTestBase): """Tests for decorator can_change_topic_publication_status.""" banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_change_topic_publication_status def get(self): self.render_json({}) def setUp(self): super(ChangeTopicPublicationStatusTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_change_publication_status', self.MockHandler)], debug=feconf.DEBUG, )) def test_admin_can_change_topic_publication_status(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_change_publication_status') self.logout() def test_banned_user_cannot_change_topic_publication_status(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_change_publication_status', expected_status_int=401) self.assertIn( 'does not have enough rights to publish or unpublish the ' 'topic.', response['error']) self.logout() def test_guest_cannot_change_topic_publication_status(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_change_publication_status', expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class PerformCronTaskTests(test_utils.GenericTestBase): """Tests for decorator can_perform_cron_tasks.""" viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_perform_cron_tasks def get(self): self.render_json({}) def setUp(self): super(PerformCronTaskTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.viewer_email, self.viewer_username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_perform_cron_task', self.MockHandler)], debug=feconf.DEBUG, )) def test_super_admin_can_perform_cron_tasks(self): self.login(self.ADMIN_EMAIL, is_super_admin=True) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_perform_cron_task') self.logout() def test_normal_user_cannot_perform_cron_tasks(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_perform_cron_task', expected_status_int=401) self.assertEqual( response['error'], 'You do not have the credentials to access this page.') self.logout() class EditSkillDecoratorTests(test_utils.GenericTestBase): """Tests permissions for accessing the skill editor.""" second_admin_username = 'adm2' second_admin_email = 'adm2@example.com' manager_username = 'topicmanager' manager_email = 'topicmanager@example.com' viewer_username = 'viewer' viewer_email = 'viewer@example.com' skill_id = '1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_skill def get(self, skill_id): self.render_json({'skill_id': skill_id}) def setUp(self): super(EditSkillDecoratorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.second_admin_email, self.second_admin_username) self.signup(self.manager_email, self.manager_username) self.signup(self.viewer_email, self.viewer_username) self.set_admins([self.ADMIN_USERNAME, self.second_admin_username]) self.set_topic_managers([self.manager_username]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.second_admin_id = self.get_user_id_from_email( self.second_admin_email) self.manager_id = self.get_user_id_from_email(self.manager_email) self.admin = user_services.UserActionsInfo(self.admin_id) self.manager = user_services.UserActionsInfo(self.manager_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_edit_skill/<skill_id>', self.MockHandler)], debug=feconf.DEBUG, )) skill_services.create_new_skill_rights(self.skill_id, self.admin_id) def test_cannot_edit_skill_with_invalid_skill_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_custom_response( '/mock_edit_skill/', 'text/plain', expected_status_int=404) self.logout() def test_admin_can_edit_skill(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_skill/%s' % self.skill_id) self.assertEqual(response['skill_id'], self.skill_id) self.logout() def test_admin_can_edit_other_public_skill(self): skill_services.publish_skill(self.skill_id, self.admin_id) self.login(self.second_admin_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_skill/%s' % self.skill_id) self.assertEqual(response['skill_id'], self.skill_id) self.logout() def test_admin_can_not_edit_other_private_skill(self): self.login(self.second_admin_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_skill/%s' % self.skill_id, expected_status_int=401) self.logout() def test_topic_manager_can_not_edit_private_skill(self): self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_skill/%s' % self.skill_id, expected_status_int=401) self.logout() def test_topic_manager_can_edit_public_skill(self): skill_services.publish_skill(self.skill_id, self.admin_id) self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_skill/%s' % self.skill_id) self.assertEqual(response['skill_id'], self.skill_id) self.logout() def test_normal_user_can_not_edit_public_skill(self): skill_services.publish_skill(self.skill_id, self.admin_id) self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_skill/%s' % self.skill_id, expected_status_int=401) class EditQuestionDecoratorTests(test_utils.GenericTestBase): """Tests the decorator can_edit_question.""" question_id = 'question_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_question def get(self, question_id): self.render_json({'question_id': question_id}) def setUp(self): super(EditQuestionDecoratorTests, self).setUp() self.signup(self.ADMIN_EMAIL, username=self.ADMIN_USERNAME) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup('a@example.com', 'A') self.signup('b@example.com', 'B') self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id_admin = self.get_user_id_from_email(self.ADMIN_EMAIL) self.user_id_a = self.get_user_id_from_email('a@example.com') self.user_id_b = self.get_user_id_from_email('b@example.com') self.set_admins([self.ADMIN_USERNAME]) self.set_topic_managers([user_services.get_username(self.user_id_a)]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.manager_id = self.get_user_id_from_email('a@example.com') self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_edit_question/<question_id>', self.MockHandler)], debug=feconf.DEBUG, )) question_services.create_new_question_rights( self.question_id, self.ADMIN_EMAIL) def test_guest_cannot_edit_question(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_question/%s' % self.question_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') def test_cannot_edit_question_with_invalid_question_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_question/invalid_question_id', expected_status_int=404) self.logout() def test_admin_can_edit_question(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_question/%s' % self.question_id) self.assertEqual(response['question_id'], self.question_id) self.logout() def test_topic_manager_can_edit_question(self): self.login('a@example.com') with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_question/%s' % self.question_id) self.assertEqual(response['question_id'], self.question_id) self.logout() def test_any_user_cannot_edit_question(self): self.login('b@example.com') with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_question/%s' % self.question_id, expected_status_int=401) self.logout() class PlayQuestionDecoratorTests(test_utils.GenericTestBase): """Tests the decorator can_play_question.""" question_id = 'question_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_play_question def get(self, question_id): self.render_json({'question_id': question_id}) def setUp(self): super(PlayQuestionDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_play_question/<question_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_question( self.question_id, self.owner_id, self._create_valid_question_data('ABC'), ['skill_1']) def test_can_play_question_with_valid_question_id(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_play_question/%s' % ( self.question_id)) self.assertEqual(response['question_id'], self.question_id) class PlayEntityDecoratorTests(test_utils.GenericTestBase): """Test the decorator can_play_entity.""" user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_play_entity def get(self, entity_type, entity_id): self.render_json( {'entity_type': entity_type, 'entity_id': entity_id}) def setUp(self): super(PlayEntityDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_play_entity/<entity_type>/<entity_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.question_id = question_services.get_new_question_id() self.save_new_question( self.question_id, self.owner_id, self._create_valid_question_data('ABC'), ['skill_1']) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_cannot_play_exploration_on_disabled_exploration_ids(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_EXPLORATION, feconf.DISABLED_EXPLORATION_IDS[0]), expected_status_int=404) def test_guest_can_play_exploration_on_published_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_EXPLORATION, self.published_exp_id)) self.assertEqual( response['entity_type'], feconf.ENTITY_TYPE_EXPLORATION) self.assertEqual( response['entity_id'], self.published_exp_id) def test_guest_cannot_play_exploration_on_private_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_EXPLORATION, self.private_exp_id), expected_status_int=404) def test_cannot_play_exploration_with_none_exploration_rights(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_entity/%s/%s' % (feconf.ENTITY_TYPE_EXPLORATION, 'fake_exp_id'), expected_status_int=404) def test_can_play_question_for_valid_question_id(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_QUESTION, self.question_id)) self.assertEqual( response['entity_type'], feconf.ENTITY_TYPE_QUESTION) self.assertEqual(response['entity_id'], self.question_id) self.assertEqual(response['entity_type'], 'question') def test_cannot_play_question_invalid_question_id(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_QUESTION, 'question_id'), expected_status_int=404) def test_cannot_play_entity_for_invalid_entity(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_play_entity/%s/%s' % ( 'fake_entity_type', 'fake_entity_id'), expected_status_int=404) class EditEntityDecoratorTests(test_utils.GenericTestBase): username = 'banneduser' user_email = 'user@example.com' published_exp_id = 'exp_0' private_exp_id = 'exp_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_entity def get(self, entity_type, entity_id): return self.render_json( {'entity_type': entity_type, 'entity_id': entity_id}) def setUp(self): super(EditEntityDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.set_banned_users([self.username]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_edit_entity/<entity_type>/<entity_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.question_id = question_services.get_new_question_id() self.save_new_question( self.question_id, self.owner_id, self._create_valid_question_data('ABC'), ['skill_1']) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_edit_exploration_with_valid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_entity/exploration/%s' % ( self.published_exp_id)) self.assertEqual( response['entity_type'], feconf.ENTITY_TYPE_EXPLORATION) self.assertEqual( response['entity_id'], self.published_exp_id) self.logout() def test_cannot_edit_exploration_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_entity/exploration/invalid_exp_id', expected_status_int=404) self.logout() def test_banned_user_cannot_edit_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_EXPLORATION, self.private_exp_id), expected_status_int=401) self.logout() def test_can_edit_question_with_valid_question_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_QUESTION, self.question_id)) self.assertEqual(response['entity_id'], self.question_id) self.assertEqual(response['entity_type'], 'question') self.logout() def test_can_edit_topic(self): self.login(self.ADMIN_EMAIL) topic_id = topic_services.get_new_topic_id() self.save_new_topic( topic_id, self.admin_id, 'Name', 'abbrev', None, 'Description', [], [], [], [], 1) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_TOPIC, topic_id)) self.assertEqual(response['entity_id'], topic_id) self.assertEqual(response['entity_type'], 'topic') self.logout() def test_can_edit_skill(self): self.login(self.ADMIN_EMAIL) skill_id = skill_services.get_new_skill_id() self.save_new_skill(skill_id, self.admin_id, 'Description') with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_SKILL, skill_id)) self.assertEqual(response['entity_id'], skill_id) self.assertEqual(response['entity_type'], 'skill') self.logout() def test_can_edit_story(self): self.login(self.ADMIN_EMAIL) story_id = story_services.get_new_story_id() topic_id = topic_services.get_new_topic_id() self.save_new_story( story_id, self.admin_id, 'Title', 'Description', 'Notes', topic_id) self.save_new_topic( topic_id, self.admin_id, 'Name', 'abbrev', None, 'Description', [story_id], [], [], [], 1) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_STORY, story_id)) self.assertEqual(response['entity_id'], story_id) self.assertEqual(response['entity_type'], 'story') self.logout() def test_cannot_edit_entity_invalid_entity(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_edit_entity/%s/%s' % ( 'invalid_entity_type', 'q_id'), expected_status_int=404) class SaveExplorationTests(test_utils.GenericTestBase): """Tests for can_save_exploration decorator.""" role = rights_manager.ROLE_VOICE_ARTIST username = 'user' user_email = 'user@example.com' banned_username = 'banneduser' banned_user_email = 'banneduser@example.com' published_exp_id_1 = 'exp_1' published_exp_id_2 = 'exp_2' private_exp_id_1 = 'exp_3' private_exp_id_2 = 'exp_4' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_save_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(SaveExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.signup(self.banned_user_email, self.banned_username) self.signup(self.VOICE_ARTIST_EMAIL, self.VOICE_ARTIST_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.voice_artist_id = self.get_user_id_from_email( self.VOICE_ARTIST_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.set_banned_users([self.banned_username]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id_1, self.owner_id) self.save_new_valid_exploration( self.published_exp_id_2, self.owner_id) self.save_new_valid_exploration( self.private_exp_id_1, self.owner_id) self.save_new_valid_exploration( self.private_exp_id_2, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id_1) rights_manager.publish_exploration(self.owner, self.published_exp_id_2) rights_manager.assign_role_for_exploration( self.owner, self.published_exp_id_1, self.voice_artist_id, self.role) rights_manager.assign_role_for_exploration( self.owner, self.private_exp_id_1, self.voice_artist_id, self.role) def test_unautheticated_user_cannot_save_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) def test_can_not_save_exploration_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/invalid_exp_id', expected_status_int=404) self.logout() def test_banned_user_cannot_save_exploration(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() def test_owner_can_save_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) self.logout() def test_moderator_can_save_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.published_exp_id_1) self.assertEqual(response['exploration_id'], self.published_exp_id_1) self.logout() def test_moderator_cannot_save_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() def test_admin_can_save_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) self.logout() def test_voice_artist_can_only_save_assigned_exploration(self): self.login(self.VOICE_ARTIST_EMAIL) # Checking voice artist can only save assigned public exploration. with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.published_exp_id_1) self.assertEqual(response['exploration_id'], self.published_exp_id_1) # Checking voice artist cannot save public exploration which he/she # is not assigned for. with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.published_exp_id_2, expected_status_int=401) self.logout()

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from __future__ import absolute_import from __future__ import unicode_literals from core.controllers import acl_decorators from core.controllers import base from core.domain import question_services from core.domain import rights_manager from core.domain import skill_services from core.domain import story_services from core.domain import suggestion_services from core.domain import topic_domain from core.domain import topic_services from core.domain import user_services from core.tests import test_utils import feconf import webapp2 import webtest class PlayExplorationDecoratorTests(test_utils.GenericTestBase): user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_play_exploration def get(self, exploration_id): return self.render_json({'exploration_id': exploration_id}) def setUp(self): super(PlayExplorationDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_play_exploration/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_access_exploration_with_disabled_exploration_ids(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_exploration/%s' % (feconf.DISABLED_EXPLORATION_IDS[0]), expected_status_int=404) def test_guest_can_access_published_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_exploration/%s' % self.published_exp_id) self.assertEqual(response['exploration_id'], self.published_exp_id) def test_guest_cannot_access_private_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_exploration/%s' % self.private_exp_id, expected_status_int=404) def test_admin_can_access_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_owner_can_access_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_logged_in_user_cannot_access_not_owned_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_exploration/%s' % self.private_exp_id, expected_status_int=404) self.logout() class PlayCollectionDecoratorTests(test_utils.GenericTestBase): user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' published_col_id = 'col_id_1' private_col_id = 'col_id_2' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_play_collection def get(self, collection_id): return self.render_json({'collection_id': collection_id}) def setUp(self): super(PlayCollectionDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_play_collection/<collection_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) self.save_new_valid_collection( self.published_col_id, self.owner_id, exploration_id=self.published_col_id) self.save_new_valid_collection( self.private_col_id, self.owner_id, exploration_id=self.private_col_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) rights_manager.publish_collection(self.owner, self.published_col_id) def test_guest_can_access_published_collection(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_collection/%s' % self.published_col_id) self.assertEqual(response['collection_id'], self.published_col_id) def test_guest_cannot_access_private_collection(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_collection/%s' % self.private_col_id, expected_status_int=404) def test_admin_can_access_private_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_owner_can_access_private_collection(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_play_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_logged_in_user_cannot_access_not_owned_private_collection(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_collection/%s' % self.private_col_id, expected_status_int=404) self.logout() def test_cannot_access_collection_with_invalid_collection_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_collection/invalid_collection_id', expected_status_int=404) self.logout() class EditCollectionDecoratorTests(test_utils.GenericTestBase): user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' published_col_id = 'col_id_1' private_col_id = 'col_id_2' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_collection def get(self, collection_id): return self.render_json({'collection_id': collection_id}) def setUp(self): super(EditCollectionDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.set_moderators([self.MODERATOR_USERNAME]) self.set_collection_editors([self.OWNER_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_edit_collection/<collection_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) self.save_new_valid_collection( self.published_col_id, self.owner_id, exploration_id=self.published_col_id) self.save_new_valid_collection( self.private_col_id, self.owner_id, exploration_id=self.private_col_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) rights_manager.publish_collection(self.owner, self.published_col_id) def test_can_not_edit_collection_with_invalid_collection_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_collection/invalid_col_id', expected_status_int=404) self.logout() def test_guest_cannot_edit_collection_via_json_handler(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_collection/%s' % self.published_col_id, expected_status_int=401) def test_guest_is_redirected_when_using_html_handler(self): with self.swap( self.MockHandler, 'GET_HANDLER_ERROR_RETURN_TYPE', feconf.HANDLER_TYPE_HTML): response = self.mock_testapp.get( '/mock_edit_collection/%s' % self.published_col_id, expect_errors=True) self.assertEqual(response.status_int, 302) def test_normal_user_cannot_edit_collection(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_collection/%s' % self.private_col_id, expected_status_int=401) self.logout() def test_owner_can_edit_owned_collection(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_moderator_cannot_edit_private_collection(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_collection/%s' % self.private_col_id, expected_status_int=401) self.logout() def test_moderator_can_edit_public_collection(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_collection/%s' % self.published_col_id) self.assertEqual(response['collection_id'], self.published_col_id) self.logout() def test_admin_can_edit_any_private_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() class CreateExplorationDecoratorTests(test_utils.GenericTestBase): username = 'banneduser' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_exploration def get(self): self.render_json({'success': True}) def setUp(self): super(CreateExplorationDecoratorTests, self).setUp() self.signup(self.EDITOR_EMAIL, self.EDITOR_USERNAME) self.signup(self.user_email, self.username) self.set_banned_users([self.username]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/create', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_create_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/create', expected_status_int=401) self.logout() def test_normal_user_can_create_exploration(self): self.login(self.EDITOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/create') self.assertEqual(response['success'], True) self.logout() def test_guest_cannot_create_exploration_via_json_handler(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/create', expected_status_int=401) def test_guest_is_redirected_when_using_html_handler(self): with self.swap( self.MockHandler, 'GET_HANDLER_ERROR_RETURN_TYPE', feconf.HANDLER_TYPE_HTML): response = self.mock_testapp.get('/mock/create', expect_errors=True) self.assertEqual(response.status_int, 302) class CreateCollectionDecoratorTests(test_utils.GenericTestBase): username = 'collectioneditor' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_collection def get(self): self.render_json({'success': True}) def setUp(self): super(CreateCollectionDecoratorTests, self).setUp() self.signup(self.EDITOR_EMAIL, self.EDITOR_USERNAME) self.signup(self.user_email, self.username) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_collection_editors([self.username]) self.set_admins([self.ADMIN_USERNAME]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/create', self.MockHandler)], debug=feconf.DEBUG, )) def test_guest_cannot_create_collection_via_json_handler(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/create', expected_status_int=401) def test_guest_is_redirected_when_using_html_handler(self): with self.swap( self.MockHandler, 'GET_HANDLER_ERROR_RETURN_TYPE', feconf.HANDLER_TYPE_HTML): response = self.mock_testapp.get('/mock/create', expect_errors=True) self.assertEqual(response.status_int, 302) def test_normal_user_cannot_create_collection(self): self.login(self.EDITOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/create', expected_status_int=401) self.logout() def test_collection_editor_can_create_collection(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/create') self.assertEqual(response['success'], True) self.logout() def test_admins_can_create_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/create') self.assertEqual(response['success'], True) self.logout() class AccessCreatorDashboardTests(test_utils.GenericTestBase): username = 'banneduser' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_access_creator_dashboard def get(self): self.render_json({'success': True}) def setUp(self): super(AccessCreatorDashboardTests, self).setUp() self.signup(self.EDITOR_EMAIL, self.EDITOR_USERNAME) self.signup(self.user_email, self.username) self.set_banned_users([self.username]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/access', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_access_editor_dashboard(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/access', expected_status_int=401) self.logout() def test_normal_user_can_access_editor_dashboard(self): self.login(self.EDITOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/access') self.assertEqual(response['success'], True) class CommentOnFeedbackThreadTests(test_utils.GenericTestBase): published_exp_id = 'exp_0' private_exp_id = 'exp_1' viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_comment_on_feedback_thread def get(self, thread_id): self.render_json({'thread_id': thread_id}) def setUp(self): super(CommentOnFeedbackThreadTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.viewer_email, self.viewer_username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_comment_on_feedback_thread/<thread_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_comment_on_feedback_threads_with_disabled_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % feconf.DISABLED_EXPLORATION_IDS[0], expected_status_int=404) self.logout() def test_viewer_cannot_comment_on_feedback_for_private_exploration(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to comment on ' 'exploration feedback.') self.logout() def test_can_not_comment_on_feedback_threads_with_invalid_thread_id(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_comment_on_feedback_thread/invalid_thread_id', expected_status_int=400) self.assertEqual(response['error'], 'Thread ID must contain a .') self.logout() def test_guest_cannot_comment_on_feedback_threads_via_json_handler(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.private_exp_id), expected_status_int=401) self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.published_exp_id), expected_status_int=401) def test_guest_is_redirected_when_using_html_handler(self): with self.swap( self.MockHandler, 'GET_HANDLER_ERROR_RETURN_TYPE', feconf.HANDLER_TYPE_HTML): response = self.mock_testapp.get( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.private_exp_id), expect_errors=True) self.assertEqual(response.status_int, 302) response = self.mock_testapp.get( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.published_exp_id), expect_errors=True) self.assertEqual(response.status_int, 302) def test_owner_can_comment_on_feedback_for_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.private_exp_id)) self.logout() def test_moderator_can_comment_on_feeback_for_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.published_exp_id)) self.logout() def test_admin_can_comment_on_feeback_for_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_comment_on_feedback_thread/exploration.%s.thread1' % (self.private_exp_id)) self.logout() class CreateFeedbackThreadTests(test_utils.GenericTestBase): published_exp_id = 'exp_0' private_exp_id = 'exp_1' viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_feedback_thread def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(CreateFeedbackThreadTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.viewer_email, self.viewer_username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_create_feedback_thread/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_create_feedback_threads_with_disabled_exp_id(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % (feconf.DISABLED_EXPLORATION_IDS[0]), expected_status_int=404) def test_viewer_cannot_create_feedback_for_private_exploration(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_feedback_thread/%s' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to create ' 'exploration feedback.') self.logout() def test_guest_can_create_feedback_threads_for_public_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % self.published_exp_id) def test_owner_cannot_create_feedback_for_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % self.private_exp_id) self.logout() def test_moderator_can_create_feeback_for_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % self.published_exp_id) self.logout() def test_admin_can_create_feeback_for_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_create_feedback_thread/%s' % self.private_exp_id) self.logout() class ViewFeedbackThreadTests(test_utils.GenericTestBase): published_exp_id = 'exp_0' private_exp_id = 'exp_1' viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_view_feedback_thread def get(self, thread_id): self.render_json({'thread_id': thread_id}) def setUp(self): super(ViewFeedbackThreadTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.viewer_email, self.viewer_username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_view_feedback_thread/<thread_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_view_feedback_threads_with_disabled_exp_id(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % feconf.DISABLED_EXPLORATION_IDS[0], expected_status_int=404) def test_viewer_cannot_view_feedback_for_private_exploration(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to view ' 'exploration feedback.') self.logout() def test_guest_can_view_feedback_threads_for_public_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % (self.published_exp_id)) def test_owner_cannot_view_feedback_for_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % (self.private_exp_id)) self.logout() def test_moderator_can_view_feeback_for_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % (self.published_exp_id)) self.logout() def test_admin_can_view_feeback_for_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_view_feedback_thread/exploration.%s.thread1' % (self.private_exp_id)) self.logout() class ManageEmailDashboardTests(test_utils.GenericTestBase): query_id = 'query_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_manage_email_dashboard def get(self): return self.render_json({'success': 1}) @acl_decorators.can_manage_email_dashboard def put(self, query_id): return self.render_json({'query_id': query_id}) def setUp(self): super(ManageEmailDashboardTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.set_moderators([self.MODERATOR_USERNAME]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [ webapp2.Route('/mock/', self.MockHandler), webapp2.Route('/mock/<query_id>', self.MockHandler) ], debug=feconf.DEBUG, )) def test_moderator_cannot_access_email_dashboard(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_admin_can_access_email_dashboard(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], 1) with self.swap(self, 'testapp', self.mock_testapp): response = self.mock_testapp.put('/mock/%s' % self.query_id) self.assertEqual(response.status_int, 200) self.logout() class RateExplorationTests(test_utils.GenericTestBase): username = 'user' user_email = 'user@example.com' exp_id = 'exp_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_rate_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(RateExplorationTests, self).setUp() self.signup(self.user_email, self.username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) def test_guest_cannot_give_rating(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.exp_id, expected_status_int=401) def test_normal_user_can_give_rating(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.exp_id) self.assertEqual(response['exploration_id'], self.exp_id) self.logout() class AccessModeratorPageTests(test_utils.GenericTestBase): username = 'user' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_access_moderator_page def get(self): return self.render_json({'success': 1}) def setUp(self): super(AccessModeratorPageTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.set_admins([self.ADMIN_USERNAME]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_normal_user_cannot_access_moderator_page(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_admin_can_access_moderator_page(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], 1) self.logout() class FlagExplorationTests(test_utils.GenericTestBase): username = 'user' user_email = 'user@example.com' exp_id = 'exp_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_flag_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(FlagExplorationTests, self).setUp() self.signup(self.user_email, self.username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) def test_guest_cannot_flag_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.exp_id, expected_status_int=401) def test_normal_user_can_flag_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.exp_id) self.assertEqual(response['exploration_id'], self.exp_id) self.logout() class SubscriptionToUsersTests(test_utils.GenericTestBase): username = 'user' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_subscribe_to_users def get(self): self.render_json({'success': True}) def setUp(self): super(SubscriptionToUsersTests, self).setUp() self.signup(self.user_email, self.username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_guest_cannot_subscribe_to_users(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) def test_normal_user_can_subscribe_to_users(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], True) self.logout() class SendModeratorEmailsTests(test_utils.GenericTestBase): username = 'user' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_send_moderator_emails def get(self): return self.render_json({'success': 1}) def setUp(self): super(SendModeratorEmailsTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.set_admins([self.ADMIN_USERNAME]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_normal_user_cannot_send_moderator_emails(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_admin_can_send_moderator_emails(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], 1) self.logout() class VoiceoverExplorationTests(test_utils.GenericTestBase): role = rights_manager.ROLE_VOICE_ARTIST username = 'user' user_email = 'user@example.com' banned_username = 'banneduser' banned_user_email = 'banneduser@example.com' published_exp_id_1 = 'exp_1' published_exp_id_2 = 'exp_2' private_exp_id_1 = 'exp_3' private_exp_id_2 = 'exp_4' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_voiceover_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(VoiceoverExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.signup(self.banned_user_email, self.banned_username) self.signup(self.VOICE_ARTIST_EMAIL, self.VOICE_ARTIST_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.voice_artist_id = self.get_user_id_from_email( self.VOICE_ARTIST_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.set_banned_users([self.banned_username]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id_1, self.owner_id) self.save_new_valid_exploration( self.published_exp_id_2, self.owner_id) self.save_new_valid_exploration( self.private_exp_id_1, self.owner_id) self.save_new_valid_exploration( self.private_exp_id_2, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id_1) rights_manager.publish_exploration(self.owner, self.published_exp_id_2) rights_manager.assign_role_for_exploration( self.owner, self.published_exp_id_1, self.voice_artist_id, self.role) rights_manager.assign_role_for_exploration( self.owner, self.private_exp_id_1, self.voice_artist_id, self.role) def test_banned_user_cannot_voiceover_exploration(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() def test_owner_can_voiceover_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) self.logout() def test_moderator_can_voiceover_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.published_exp_id_1) self.assertEqual(response['exploration_id'], self.published_exp_id_1) self.logout() def test_moderator_cannot_voiceover_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() def test_admin_can_voiceover_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) self.logout() def test_voice_artist_can_only_voiceover_assigned_public_exploration(self): self.login(self.VOICE_ARTIST_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.published_exp_id_1) self.assertEqual(response['exploration_id'], self.published_exp_id_1) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.published_exp_id_2, expected_status_int=401) self.logout() def test_voice_artist_can_only_voiceover_assigned_private_exploration(self): self.login(self.VOICE_ARTIST_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_2, expected_status_int=401) self.logout() def test_user_without_voice_artist_role_of_exploration_cannot_voiceover_public_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.published_exp_id_1, expected_status_int=401) self.logout() def test_user_without_voice_artist_role_of_exploration_cannot_voiceover_private_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() class EditExplorationTests(test_utils.GenericTestBase): username = 'banneduser' user_email = 'user@example.com' published_exp_id = 'exp_0' private_exp_id = 'exp_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(EditExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.set_banned_users([self.username]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_edit_exploration/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_not_edit_exploration_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_exploration/invalid_exp_id', expected_status_int=404) self.logout() def test_banned_user_cannot_edit_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_exploration/%s' % self.private_exp_id, expected_status_int=401) self.logout() def test_owner_can_edit_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_moderator_can_edit_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_exploration/%s' % self.published_exp_id) self.assertEqual(response['exploration_id'], self.published_exp_id) self.logout() def test_moderator_cannot_edit_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_exploration/%s' % self.private_exp_id, expected_status_int=401) self.logout() def test_admin_can_edit_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() class ManageOwnProfileTests(test_utils.GenericTestBase): banned_user = 'banneduser' banned_user_email = 'banned@example.com' username = 'user' user_email = 'user@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_manage_own_profile def get(self): return self.render_json({'success': 1}) def setUp(self): super(ManageOwnProfileTests, self).setUp() self.signup(self.banned_user_email, self.banned_user) self.signup(self.user_email, self.username) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_update_preferences(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_normal_user_can_manage_preferences(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/') self.assertEqual(response['success'], 1) self.logout() class UploadExplorationTests(test_utils.GenericTestBase): class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_upload_exploration def get(self): return self.render_json({}) def setUp(self): super(UploadExplorationTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.EDITOR_EMAIL, self.EDITOR_USERNAME) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_upload_exploration/', self.MockHandler)], debug=feconf.DEBUG, )) def test_super_admin_can_upload_explorations(self): self.login(self.ADMIN_EMAIL, is_super_admin=True) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_upload_exploration/') self.logout() def test_normal_user_cannot_upload_explorations(self): self.login(self.EDITOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_upload_exploration/', expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to upload exploration.') self.logout() def test_guest_cannot_upload_explorations(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_upload_exploration/', expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class DeleteExplorationTests(test_utils.GenericTestBase): private_exp_id = 'exp_0' published_exp_id = 'exp_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_delete_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(DeleteExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.set_moderators([self.MODERATOR_USERNAME]) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) self.moderator_id = self.get_user_id_from_email(self.MODERATOR_EMAIL) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_delete_exploration/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_guest_can_not_delete_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') def test_owner_can_delete_owned_private_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_moderator_can_delete_published_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.published_exp_id) self.assertEqual(response['exploration_id'], self.published_exp_id) self.logout() def test_owner_cannot_delete_published_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.published_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'User %s does not have permissions to delete exploration %s' % (self.owner_id, self.published_exp_id)) self.logout() def test_moderator_cannot_delete_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_delete_exploration/%s' % self.private_exp_id, expected_status_int=401) self.assertEqual( response['error'], 'User %s does not have permissions to delete exploration %s' % (self.moderator_id, self.private_exp_id)) self.logout() class SuggestChangesToExplorationTests(test_utils.GenericTestBase): username = 'user' user_email = 'user@example.com' banned_username = 'banneduser' banned_user_email = 'banned@example.com' exploration_id = 'exp_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_suggest_changes_to_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(SuggestChangesToExplorationTests, self).setUp() self.signup(self.user_email, self.username) self.signup(self.banned_user_email, self.banned_username) self.set_banned_users([self.banned_username]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_suggest_changes(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.exploration_id, expected_status_int=401) self.logout() def test_normal_user_can_suggest_changes(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.exploration_id) self.assertEqual(response['exploration_id'], self.exploration_id) self.logout() class SuggestChangesDecoratorsTests(test_utils.GenericTestBase): username = 'user' user_email = 'user@example.com' banned_username = 'banneduser' banned_user_email = 'banned@example.com' exploration_id = 'exp_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_suggest_changes def get(self): self.render_json({}) def setUp(self): super(SuggestChangesDecoratorsTests, self).setUp() self.signup(self.user_email, self.username) self.signup(self.banned_user_email, self.banned_username) self.set_banned_users([self.banned_username]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_cannot_suggest_changes(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock', expected_status_int=401) self.logout() def test_normal_user_can_suggest_changes(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock') self.logout() class ResubmitSuggestionDecoratorsTests(test_utils.GenericTestBase): owner_username = 'owner' owner_email = 'owner@example.com' author_username = 'author' author_email = 'author@example.com' username = 'user' user_email = 'user@example.com' TARGET_TYPE = 'exploration' SUGGESTION_TYPE = 'edit_exploration_state_content' exploration_id = 'exp_id' target_version_id = 1 change_dict = { 'cmd': 'edit_state_property', 'property_name': 'content', 'state_name': 'Introduction', 'new_value': '' } class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_resubmit_suggestion def get(self, suggestion_id): self.render_json({'suggestion_id': suggestion_id}) def setUp(self): super(ResubmitSuggestionDecoratorsTests, self).setUp() self.signup(self.author_email, self.author_username) self.signup(self.user_email, self.username) self.signup(self.owner_email, self.owner_username) self.author_id = self.get_user_id_from_email(self.author_email) self.owner_id = self.get_user_id_from_email(self.owner_email) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<suggestion_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_default_exploration(self.exploration_id, self.owner_id) suggestion_services.create_suggestion( self.SUGGESTION_TYPE, self.TARGET_TYPE, self.exploration_id, self.target_version_id, self.author_id, self.change_dict, '', None) suggestion = suggestion_services.query_suggestions( [('author_id', self.author_id), ('target_id', self.exploration_id)])[0] self.suggestion_id = suggestion.suggestion_id def test_author_can_resubmit_suggestion(self): self.login(self.author_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.suggestion_id) self.assertEqual(response['suggestion_id'], self.suggestion_id) self.logout() def test_non_author_cannot_resubmit_suggestion(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.suggestion_id, expected_status_int=401) self.logout() class DecoratorForAcceptingSuggestionTests(test_utils.GenericTestBase): AUTHOR_USERNAME = 'author' AUTHOR_EMAIL = 'author@example.com' VIEWER_USERNAME = 'user' VIEWER_EMAIL = 'user@example.com' TARGET_TYPE = 'exploration' SUGGESTION_TYPE = 'edit_exploration_state_content' EXPLORATION_ID = 'exp_id' TARGET_VERSION_ID = 1 CHANGE_DICT = { 'cmd': 'edit_state_property', 'property_name': 'content', 'state_name': 'Introduction', 'new_value': '' } class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.get_decorator_for_accepting_suggestion( acl_decorators.can_edit_exploration) def get(self, target_id, suggestion_id): self.render_json({ 'target_id': target_id, 'suggestion_id': suggestion_id }) def setUp(self): super(DecoratorForAcceptingSuggestionTests, self).setUp() self.signup(self.AUTHOR_EMAIL, self.AUTHOR_USERNAME) self.signup(self.VIEWER_EMAIL, self.VIEWER_USERNAME) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.author_id = self.get_user_id_from_email(self.AUTHOR_EMAIL) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_accept_suggestion/<target_id>/<suggestion_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_default_exploration(self.EXPLORATION_ID, self.owner_id) rights_manager.publish_exploration(self.owner, self.EXPLORATION_ID) suggestion_services.create_suggestion( self.SUGGESTION_TYPE, self.TARGET_TYPE, self.EXPLORATION_ID, self.TARGET_VERSION_ID, self.author_id, self.CHANGE_DICT, '', None) suggestion = suggestion_services.query_suggestions( [('author_id', self.author_id), ('target_id', self.EXPLORATION_ID)])[0] self.suggestion_id = suggestion.suggestion_id def test_guest_cannot_accept_suggestion(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_accept_suggestion/%s/%s' % (self.EXPLORATION_ID, self.suggestion_id), expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') def test_owner_can_accept_suggestion(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_accept_suggestion/%s/%s' % (self.EXPLORATION_ID, self.suggestion_id)) self.assertEqual(response['suggestion_id'], self.suggestion_id) self.assertEqual(response['target_id'], self.EXPLORATION_ID) self.logout() def test_viewer_cannot_accept_suggestion(self): self.login(self.VIEWER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_accept_suggestion/%s/%s' % (self.EXPLORATION_ID, self.suggestion_id), expected_status_int=401) self.logout() class PublishExplorationTests(test_utils.GenericTestBase): private_exp_id = 'exp_0' public_exp_id = 'exp_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_publish_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(PublishExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_publish_exploration/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.public_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.public_exp_id) def test_cannot_publish_exploration_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_exploration/invalid_exp_id', expected_status_int=404) self.logout() def test_owner_can_publish_owned_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_publish_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_already_published_exploration_cannot_be_published(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_exploration/%s' % self.public_exp_id, expected_status_int=401) self.logout() def test_moderator_cannot_publish_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_exploration/%s' % self.private_exp_id, expected_status_int=401) self.logout() def test_admin_can_publish_any_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_publish_exploration/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) class ModifyExplorationRolesTests(test_utils.GenericTestBase): private_exp_id = 'exp_0' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_modify_exploration_roles def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(ModifyExplorationRolesTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) def test_owner_can_modify_exploration_roles(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() def test_moderator_cannot_modify_roles_of_unowned_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id, expected_status_int=401) self.logout() def test_admin_can_modify_roles_of_any_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id) self.assertEqual(response['exploration_id'], self.private_exp_id) self.logout() class CollectionPublishStatusTests(test_utils.GenericTestBase): user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' published_col_id = 'col_id_1' private_col_id = 'col_id_2' class MockPublishHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_publish_collection def get(self, collection_id): return self.render_json({'collection_id': collection_id}) class MockUnpublishHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_unpublish_collection def get(self, collection_id): return self.render_json({'collection_id': collection_id}) def setUp(self): super(CollectionPublishStatusTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.set_moderators([self.MODERATOR_USERNAME]) self.set_collection_editors([self.OWNER_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [ webapp2.Route( '/mock_publish_collection/<collection_id>', self.MockPublishHandler), webapp2.Route( '/mock_unpublish_collection/<collection_id>', self.MockUnpublishHandler) ], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) self.save_new_valid_collection( self.published_col_id, self.owner_id, exploration_id=self.published_col_id) self.save_new_valid_collection( self.private_col_id, self.owner_id, exploration_id=self.private_col_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) rights_manager.publish_collection(self.owner, self.published_col_id) def test_cannot_publish_collection_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_collection/invalid_col_id', expected_status_int=404) self.logout() def test_cannot_unpublish_collection_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_unpublish_collection/invalid_col_id', expected_status_int=404) self.logout() def test_owner_can_publish_collection(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_publish_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_owner_cannot_unpublish_public_collection(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_unpublish_collection/%s' % self.published_col_id, expected_status_int=401) self.logout() def test_moderator_can_unpublish_public_collection(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_unpublish_collection/%s' % self.published_col_id) self.assertEqual(response['collection_id'], self.published_col_id) self.logout() def test_admin_can_publish_any_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_publish_collection/%s' % self.private_col_id) self.assertEqual(response['collection_id'], self.private_col_id) self.logout() def test_admin_cannot_publish_already_published_collection(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_publish_collection/%s' % self.published_col_id, expected_status_int=401) self.logout() class AccessLearnerDashboardDecoratorTests(test_utils.GenericTestBase): user = 'user' user_email = 'user@example.com' banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_access_learner_dashboard def get(self): return self.render_json({}) def setUp(self): super(AccessLearnerDashboardDecoratorTests, self).setUp() self.signup(self.user_email, self.user) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/', self.MockHandler)], debug=feconf.DEBUG, )) def test_banned_user_is_redirected(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/', expected_status_int=401) self.logout() def test_exploration_editor_can_access_learner_dashboard(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock/') self.logout() class EditTopicDecoratorTests(test_utils.GenericTestBase): manager_username = 'topicmanager' manager_email = 'topicmanager@example.com' viewer_username = 'viewer' viewer_email = 'viewer@example.com' topic_id = 'topic_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_topic def get(self, topic_id): self.render_json({'topic_id': topic_id}) def setUp(self): super(EditTopicDecoratorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.manager_email, self.manager_username) self.signup(self.viewer_email, self.viewer_username) self.set_admins([self.ADMIN_USERNAME]) self.set_topic_managers([self.manager_username]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.manager_id = self.get_user_id_from_email(self.manager_email) self.viewer_id = self.get_user_id_from_email(self.viewer_email) self.admin = user_services.UserActionsInfo(self.admin_id) self.manager = user_services.UserActionsInfo(self.manager_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_edit_topic/<topic_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_topic( self.topic_id, self.viewer_id, 'Name', 'abbrev', None, 'Description', [], [], [], [], 1) topic_services.create_new_topic_rights(self.topic_id, self.admin_id) topic_services.assign_role( self.admin, self.manager, topic_domain.ROLE_MANAGER, self.topic_id) def test_can_not_edit_topic_with_invalid_topic_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_topic/invalid_topic_id', expected_status_int=404) self.logout() def test_admin_can_edit_topic(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_topic/%s' % self.topic_id) self.assertEqual(response['topic_id'], self.topic_id) self.logout() def test_topic_manager_can_edit_topic(self): self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_topic/%s' % self.topic_id) self.assertEqual(response['topic_id'], self.topic_id) self.logout() def test_normal_user_cannot_edit_topic(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_topic/%s' % self.topic_id, expected_status_int=401) self.logout() class EditStoryDecoratorTests(test_utils.GenericTestBase): manager_username = 'topicmanager' manager_email = 'topicmanager@example.com' viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_story def get(self, story_id): self.render_json({'story_id': story_id}) def setUp(self): super(EditStoryDecoratorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_edit_story/<story_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.story_id = story_services.get_new_story_id() self.topic_id = topic_services.get_new_topic_id() self.save_new_story( self.story_id, self.admin_id, 'Title', 'Description', 'Notes', self.topic_id) self.save_new_topic( self.topic_id, self.admin_id, 'Name', 'abbrev', None, 'Description', [self.story_id], [], [], [], 1) topic_services.create_new_topic_rights(self.topic_id, self.admin_id) def test_can_not_edit_story_with_invalid_story_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_story/story_id_new', expected_status_int=404) self.logout() def test_can_not_edit_story_with_invalid_topic_id(self): self.login(self.ADMIN_EMAIL) story_id = story_services.get_new_story_id() topic_id = topic_services.get_new_topic_id() self.save_new_story( story_id, self.admin_id, 'Title', 'Description', 'Notes', topic_id) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_story/%s' % story_id, expected_status_int=404) self.logout() def test_admin_can_edit_story(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_story/%s' % self.story_id) self.assertEqual(response['story_id'], self.story_id) self.logout() def test_topic_manager_can_edit_story(self): self.signup(self.manager_email, self.manager_username) self.set_topic_managers([self.manager_username]) manager_id = self.get_user_id_from_email(self.manager_email) manager = user_services.UserActionsInfo(manager_id) topic_services.assign_role( self.admin, manager, topic_domain.ROLE_MANAGER, self.topic_id) self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_story/%s' % self.story_id) self.assertEqual(response['story_id'], self.story_id) self.logout() def test_normal_user_cannot_edit_story(self): self.signup(self.viewer_email, self.viewer_username) self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_story/%s' % self.story_id, expected_status_int=401) self.logout() class AddStoryToTopicTests(test_utils.GenericTestBase): manager_username = 'topicmanager' manager_email = 'topicmanager@example.com' viewer_username = 'viewer' viewer_email = 'viewer@example.com' topic_id = 'topic_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_add_new_story_to_topic def get(self, topic_id): self.render_json({'topic_id': topic_id}) def setUp(self): super(AddStoryToTopicTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.manager_email, self.manager_username) self.signup(self.viewer_email, self.viewer_username) self.set_admins([self.ADMIN_USERNAME]) self.set_topic_managers([self.manager_username]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.manager_id = self.get_user_id_from_email(self.manager_email) self.admin = user_services.UserActionsInfo(self.admin_id) self.manager = user_services.UserActionsInfo(self.manager_id) self.viewer_id = self.get_user_id_from_email(self.viewer_email) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_add_story_to_topic/<topic_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_topic( self.topic_id, self.viewer_id, 'Name', 'abbrev', None, 'Description', [], [], [], [], 1) topic_services.create_new_topic_rights(self.topic_id, self.admin_id) topic_services.assign_role( self.admin, self.manager, topic_domain.ROLE_MANAGER, self.topic_id) def test_can_not_add_story_to_topic_with_invalid_topic_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_add_story_to_topic/invalid_topic_id', expected_status_int=404) self.logout() def test_admin_can_add_story_to_topic(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_add_story_to_topic/%s' % self.topic_id) self.assertEqual(response['topic_id'], self.topic_id) self.logout() def test_topic_manager_can_add_story_to_topic(self): self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_add_story_to_topic/%s' % self.topic_id) self.assertEqual(response['topic_id'], self.topic_id) self.logout() def test_normal_user_cannot_add_story_to_topic(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_add_story_to_topic/%s' % self.topic_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to add a story to this topic.') self.logout() def test_guest_cannot_add_story_to_topic(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_add_story_to_topic/%s' % self.topic_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class StoryViewerTests(test_utils.GenericTestBase): banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_access_story_viewer_page def get(self, story_id): self.render_json({'story_id': story_id}) def setUp(self): super(StoryViewerTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_story/<story_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.topic_id = topic_services.get_new_topic_id() self.story_id = story_services.get_new_story_id() self.save_new_story( self.story_id, self.admin_id, 'Title', 'Description', 'Notes', self.topic_id) self.save_new_topic( self.topic_id, self.admin_id, 'Name', 'abbrev', None, 'Description', [self.story_id], [], [], [], 1) def test_cannot_access_non_existent_story(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_story/story_id', expected_status_int=404) def test_cannot_access_story_when_topic_is_not_published(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_story/%s' % self.story_id, expected_status_int=404) def test_cannot_access_story_when_story_is_not_published(self): topic_services.publish_topic(self.topic_id, self.admin_id) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_story/%s' % self.story_id, expected_status_int=404) def test_can_access_story_when_story_and_topic_are_published(self): topic_services.publish_topic(self.topic_id, self.admin_id) topic_services.publish_story( self.topic_id, self.story_id, self.admin_id) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_story/%s' % self.story_id, expected_status_int=200) class CreateSkillTests(test_utils.GenericTestBase): banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_skill def get(self): self.render_json({}) def setUp(self): super(CreateSkillTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_create_skill', self.MockHandler)], debug=feconf.DEBUG, )) def test_admin_can_create_skill(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_create_skill') self.logout() def test_banned_user_cannot_create_skill(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_skill', expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to create a skill.') self.logout() def test_guest_cannot_add_create_skill(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_skill', expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class ManageQuestionSkillStatusTests(test_utils.GenericTestBase): viewer_username = 'viewer' viewer_email = 'viewer@example.com' skill_id = '1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_manage_question_skill_status def get(self, skill_id): self.render_json({'skill_id': skill_id}) def setUp(self): super(ManageQuestionSkillStatusTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.viewer_email, self.viewer_username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_manage_question_skill_status/<skill_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.question_id = question_services.get_new_question_id() self.question = self.save_new_question( self.question_id, self.admin_id, self._create_valid_question_data('ABC'), [self.skill_id]) question_services.create_new_question_skill_link( self.admin_id, self.question_id, self.skill_id, 0.5) def test_admin_can_manage_question_skill_status(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_question_skill_status/%s' % self.skill_id) self.assertEqual(response['skill_id'], self.skill_id) self.logout() def test_viewer_cannot_manage_question_skill_status(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_question_skill_status/%s' % self.skill_id, expected_status_int=401) self.assertEqual( response['error'], 'You do not have credentials to publish a question.') self.logout() def test_guest_cannot_manage_question_skill_status(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_question_skill_status/%s' % self.skill_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class CreateTopicTests(test_utils.GenericTestBase): banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_create_topic def get(self): self.render_json({}) def setUp(self): super(CreateTopicTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_create_topic', self.MockHandler)], debug=feconf.DEBUG, )) def test_admin_can_create_topic(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_create_topic') self.logout() def test_banned_user_cannot_create_topic(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_topic', expected_status_int=401) self.assertIn( 'does not have enough rights to create a topic.', response['error']) self.logout() def test_guest_cannot_create_topic(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_create_topic', expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class ManageRightsForTopicTests(test_utils.GenericTestBase): banned_user = 'banneduser' banned_user_email = 'banned@example.com' topic_id = 'topic_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_manage_rights_for_topic def get(self, topic_id): self.render_json({'topic_id': topic_id}) def setUp(self): super(ManageRightsForTopicTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_manage_rights_for_topic/<topic_id>', self.MockHandler)], debug=feconf.DEBUG, )) topic_services.create_new_topic_rights(self.topic_id, self.admin_id) def test_admin_can_manage_rights(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_manage_rights_for_topic/%s' % self.topic_id) self.logout() def test_banned_user_cannot_manage_rights(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_rights_for_topic/%s' % self.topic_id, expected_status_int=401) self.assertIn( 'does not have enough rights to assign roles for the topic.', response['error']) self.logout() def test_guest_cannot_manage_rights(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_manage_rights_for_topic/%s' % self.topic_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class ChangeTopicPublicationStatusTests(test_utils.GenericTestBase): banned_user = 'banneduser' banned_user_email = 'banned@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_change_topic_publication_status def get(self): self.render_json({}) def setUp(self): super(ChangeTopicPublicationStatusTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.banned_user_email, self.banned_user) self.set_banned_users([self.banned_user]) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_change_publication_status', self.MockHandler)], debug=feconf.DEBUG, )) def test_admin_can_change_topic_publication_status(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_change_publication_status') self.logout() def test_banned_user_cannot_change_topic_publication_status(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_change_publication_status', expected_status_int=401) self.assertIn( 'does not have enough rights to publish or unpublish the ' 'topic.', response['error']) self.logout() def test_guest_cannot_change_topic_publication_status(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_change_publication_status', expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') class PerformCronTaskTests(test_utils.GenericTestBase): viewer_username = 'viewer' viewer_email = 'viewer@example.com' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_perform_cron_tasks def get(self): self.render_json({}) def setUp(self): super(PerformCronTaskTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.set_admins([self.ADMIN_USERNAME]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.admin = user_services.UserActionsInfo(self.admin_id) self.signup(self.viewer_email, self.viewer_username) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_perform_cron_task', self.MockHandler)], debug=feconf.DEBUG, )) def test_super_admin_can_perform_cron_tasks(self): self.login(self.ADMIN_EMAIL, is_super_admin=True) with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_perform_cron_task') self.logout() def test_normal_user_cannot_perform_cron_tasks(self): self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_perform_cron_task', expected_status_int=401) self.assertEqual( response['error'], 'You do not have the credentials to access this page.') self.logout() class EditSkillDecoratorTests(test_utils.GenericTestBase): second_admin_username = 'adm2' second_admin_email = 'adm2@example.com' manager_username = 'topicmanager' manager_email = 'topicmanager@example.com' viewer_username = 'viewer' viewer_email = 'viewer@example.com' skill_id = '1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_skill def get(self, skill_id): self.render_json({'skill_id': skill_id}) def setUp(self): super(EditSkillDecoratorTests, self).setUp() self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.second_admin_email, self.second_admin_username) self.signup(self.manager_email, self.manager_username) self.signup(self.viewer_email, self.viewer_username) self.set_admins([self.ADMIN_USERNAME, self.second_admin_username]) self.set_topic_managers([self.manager_username]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.second_admin_id = self.get_user_id_from_email( self.second_admin_email) self.manager_id = self.get_user_id_from_email(self.manager_email) self.admin = user_services.UserActionsInfo(self.admin_id) self.manager = user_services.UserActionsInfo(self.manager_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock_edit_skill/<skill_id>', self.MockHandler)], debug=feconf.DEBUG, )) skill_services.create_new_skill_rights(self.skill_id, self.admin_id) def test_cannot_edit_skill_with_invalid_skill_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_custom_response( '/mock_edit_skill/', 'text/plain', expected_status_int=404) self.logout() def test_admin_can_edit_skill(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_skill/%s' % self.skill_id) self.assertEqual(response['skill_id'], self.skill_id) self.logout() def test_admin_can_edit_other_public_skill(self): skill_services.publish_skill(self.skill_id, self.admin_id) self.login(self.second_admin_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_skill/%s' % self.skill_id) self.assertEqual(response['skill_id'], self.skill_id) self.logout() def test_admin_can_not_edit_other_private_skill(self): self.login(self.second_admin_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_skill/%s' % self.skill_id, expected_status_int=401) self.logout() def test_topic_manager_can_not_edit_private_skill(self): self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_skill/%s' % self.skill_id, expected_status_int=401) self.logout() def test_topic_manager_can_edit_public_skill(self): skill_services.publish_skill(self.skill_id, self.admin_id) self.login(self.manager_email) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_skill/%s' % self.skill_id) self.assertEqual(response['skill_id'], self.skill_id) self.logout() def test_normal_user_can_not_edit_public_skill(self): skill_services.publish_skill(self.skill_id, self.admin_id) self.login(self.viewer_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_skill/%s' % self.skill_id, expected_status_int=401) class EditQuestionDecoratorTests(test_utils.GenericTestBase): question_id = 'question_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_question def get(self, question_id): self.render_json({'question_id': question_id}) def setUp(self): super(EditQuestionDecoratorTests, self).setUp() self.signup(self.ADMIN_EMAIL, username=self.ADMIN_USERNAME) self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup('a@example.com', 'A') self.signup('b@example.com', 'B') self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.user_id_admin = self.get_user_id_from_email(self.ADMIN_EMAIL) self.user_id_a = self.get_user_id_from_email('a@example.com') self.user_id_b = self.get_user_id_from_email('b@example.com') self.set_admins([self.ADMIN_USERNAME]) self.set_topic_managers([user_services.get_username(self.user_id_a)]) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.manager_id = self.get_user_id_from_email('a@example.com') self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_edit_question/<question_id>', self.MockHandler)], debug=feconf.DEBUG, )) question_services.create_new_question_rights( self.question_id, self.ADMIN_EMAIL) def test_guest_cannot_edit_question(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_question/%s' % self.question_id, expected_status_int=401) self.assertEqual( response['error'], 'You must be logged in to access this resource.') def test_cannot_edit_question_with_invalid_question_id(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_question/invalid_question_id', expected_status_int=404) self.logout() def test_admin_can_edit_question(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_question/%s' % self.question_id) self.assertEqual(response['question_id'], self.question_id) self.logout() def test_topic_manager_can_edit_question(self): self.login('a@example.com') with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_question/%s' % self.question_id) self.assertEqual(response['question_id'], self.question_id) self.logout() def test_any_user_cannot_edit_question(self): self.login('b@example.com') with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_question/%s' % self.question_id, expected_status_int=401) self.logout() class PlayQuestionDecoratorTests(test_utils.GenericTestBase): question_id = 'question_id' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_play_question def get(self, question_id): self.render_json({'question_id': question_id}) def setUp(self): super(PlayQuestionDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_play_question/<question_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_question( self.question_id, self.owner_id, self._create_valid_question_data('ABC'), ['skill_1']) def test_can_play_question_with_valid_question_id(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_play_question/%s' % ( self.question_id)) self.assertEqual(response['question_id'], self.question_id) class PlayEntityDecoratorTests(test_utils.GenericTestBase): user_email = 'user@example.com' username = 'user' published_exp_id = 'exp_id_1' private_exp_id = 'exp_id_2' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_play_entity def get(self, entity_type, entity_id): self.render_json( {'entity_type': entity_type, 'entity_id': entity_id}) def setUp(self): super(PlayEntityDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.set_admins([self.ADMIN_USERNAME]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_play_entity/<entity_type>/<entity_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.question_id = question_services.get_new_question_id() self.save_new_question( self.question_id, self.owner_id, self._create_valid_question_data('ABC'), ['skill_1']) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_cannot_play_exploration_on_disabled_exploration_ids(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_EXPLORATION, feconf.DISABLED_EXPLORATION_IDS[0]), expected_status_int=404) def test_guest_can_play_exploration_on_published_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_EXPLORATION, self.published_exp_id)) self.assertEqual( response['entity_type'], feconf.ENTITY_TYPE_EXPLORATION) self.assertEqual( response['entity_id'], self.published_exp_id) def test_guest_cannot_play_exploration_on_private_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_EXPLORATION, self.private_exp_id), expected_status_int=404) def test_cannot_play_exploration_with_none_exploration_rights(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_play_entity/%s/%s' % (feconf.ENTITY_TYPE_EXPLORATION, 'fake_exp_id'), expected_status_int=404) def test_can_play_question_for_valid_question_id(self): with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_QUESTION, self.question_id)) self.assertEqual( response['entity_type'], feconf.ENTITY_TYPE_QUESTION) self.assertEqual(response['entity_id'], self.question_id) self.assertEqual(response['entity_type'], 'question') def test_cannot_play_question_invalid_question_id(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_play_entity/%s/%s' % ( feconf.ENTITY_TYPE_QUESTION, 'question_id'), expected_status_int=404) def test_cannot_play_entity_for_invalid_entity(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_play_entity/%s/%s' % ( 'fake_entity_type', 'fake_entity_id'), expected_status_int=404) class EditEntityDecoratorTests(test_utils.GenericTestBase): username = 'banneduser' user_email = 'user@example.com' published_exp_id = 'exp_0' private_exp_id = 'exp_1' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_edit_entity def get(self, entity_type, entity_id): return self.render_json( {'entity_type': entity_type, 'entity_id': entity_id}) def setUp(self): super(EditEntityDecoratorTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.admin_id = self.get_user_id_from_email(self.ADMIN_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.set_banned_users([self.username]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route( '/mock_edit_entity/<entity_type>/<entity_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.question_id = question_services.get_new_question_id() self.save_new_question( self.question_id, self.owner_id, self._create_valid_question_data('ABC'), ['skill_1']) self.save_new_valid_exploration( self.published_exp_id, self.owner_id) self.save_new_valid_exploration( self.private_exp_id, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id) def test_can_edit_exploration_with_valid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json( '/mock_edit_entity/exploration/%s' % ( self.published_exp_id)) self.assertEqual( response['entity_type'], feconf.ENTITY_TYPE_EXPLORATION) self.assertEqual( response['entity_id'], self.published_exp_id) self.logout() def test_cannot_edit_exploration_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_entity/exploration/invalid_exp_id', expected_status_int=404) self.logout() def test_banned_user_cannot_edit_exploration(self): self.login(self.user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_EXPLORATION, self.private_exp_id), expected_status_int=401) self.logout() def test_can_edit_question_with_valid_question_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_QUESTION, self.question_id)) self.assertEqual(response['entity_id'], self.question_id) self.assertEqual(response['entity_type'], 'question') self.logout() def test_can_edit_topic(self): self.login(self.ADMIN_EMAIL) topic_id = topic_services.get_new_topic_id() self.save_new_topic( topic_id, self.admin_id, 'Name', 'abbrev', None, 'Description', [], [], [], [], 1) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_TOPIC, topic_id)) self.assertEqual(response['entity_id'], topic_id) self.assertEqual(response['entity_type'], 'topic') self.logout() def test_can_edit_skill(self): self.login(self.ADMIN_EMAIL) skill_id = skill_services.get_new_skill_id() self.save_new_skill(skill_id, self.admin_id, 'Description') with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_SKILL, skill_id)) self.assertEqual(response['entity_id'], skill_id) self.assertEqual(response['entity_type'], 'skill') self.logout() def test_can_edit_story(self): self.login(self.ADMIN_EMAIL) story_id = story_services.get_new_story_id() topic_id = topic_services.get_new_topic_id() self.save_new_story( story_id, self.admin_id, 'Title', 'Description', 'Notes', topic_id) self.save_new_topic( topic_id, self.admin_id, 'Name', 'abbrev', None, 'Description', [story_id], [], [], [], 1) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock_edit_entity/%s/%s' % ( feconf.ENTITY_TYPE_STORY, story_id)) self.assertEqual(response['entity_id'], story_id) self.assertEqual(response['entity_type'], 'story') self.logout() def test_cannot_edit_entity_invalid_entity(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json('/mock_edit_entity/%s/%s' % ( 'invalid_entity_type', 'q_id'), expected_status_int=404) class SaveExplorationTests(test_utils.GenericTestBase): role = rights_manager.ROLE_VOICE_ARTIST username = 'user' user_email = 'user@example.com' banned_username = 'banneduser' banned_user_email = 'banneduser@example.com' published_exp_id_1 = 'exp_1' published_exp_id_2 = 'exp_2' private_exp_id_1 = 'exp_3' private_exp_id_2 = 'exp_4' class MockHandler(base.BaseHandler): GET_HANDLER_ERROR_RETURN_TYPE = feconf.HANDLER_TYPE_JSON @acl_decorators.can_save_exploration def get(self, exploration_id): self.render_json({'exploration_id': exploration_id}) def setUp(self): super(SaveExplorationTests, self).setUp() self.signup(self.OWNER_EMAIL, self.OWNER_USERNAME) self.signup(self.MODERATOR_EMAIL, self.MODERATOR_USERNAME) self.signup(self.ADMIN_EMAIL, self.ADMIN_USERNAME) self.signup(self.user_email, self.username) self.signup(self.banned_user_email, self.banned_username) self.signup(self.VOICE_ARTIST_EMAIL, self.VOICE_ARTIST_USERNAME) self.owner_id = self.get_user_id_from_email(self.OWNER_EMAIL) self.voice_artist_id = self.get_user_id_from_email( self.VOICE_ARTIST_EMAIL) self.set_moderators([self.MODERATOR_USERNAME]) self.set_admins([self.ADMIN_USERNAME]) self.set_banned_users([self.banned_username]) self.owner = user_services.UserActionsInfo(self.owner_id) self.mock_testapp = webtest.TestApp(webapp2.WSGIApplication( [webapp2.Route('/mock/<exploration_id>', self.MockHandler)], debug=feconf.DEBUG, )) self.save_new_valid_exploration( self.published_exp_id_1, self.owner_id) self.save_new_valid_exploration( self.published_exp_id_2, self.owner_id) self.save_new_valid_exploration( self.private_exp_id_1, self.owner_id) self.save_new_valid_exploration( self.private_exp_id_2, self.owner_id) rights_manager.publish_exploration(self.owner, self.published_exp_id_1) rights_manager.publish_exploration(self.owner, self.published_exp_id_2) rights_manager.assign_role_for_exploration( self.owner, self.published_exp_id_1, self.voice_artist_id, self.role) rights_manager.assign_role_for_exploration( self.owner, self.private_exp_id_1, self.voice_artist_id, self.role) def test_unautheticated_user_cannot_save_exploration(self): with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) def test_can_not_save_exploration_with_invalid_exp_id(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/invalid_exp_id', expected_status_int=404) self.logout() def test_banned_user_cannot_save_exploration(self): self.login(self.banned_user_email) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() def test_owner_can_save_exploration(self): self.login(self.OWNER_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) self.logout() def test_moderator_can_save_public_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.published_exp_id_1) self.assertEqual(response['exploration_id'], self.published_exp_id_1) self.logout() def test_moderator_cannot_save_private_exploration(self): self.login(self.MODERATOR_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.private_exp_id_1, expected_status_int=401) self.logout() def test_admin_can_save_private_exploration(self): self.login(self.ADMIN_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.private_exp_id_1) self.assertEqual(response['exploration_id'], self.private_exp_id_1) self.logout() def test_voice_artist_can_only_save_assigned_exploration(self): self.login(self.VOICE_ARTIST_EMAIL) with self.swap(self, 'testapp', self.mock_testapp): response = self.get_json('/mock/%s' % self.published_exp_id_1) self.assertEqual(response['exploration_id'], self.published_exp_id_1) with self.swap(self, 'testapp', self.mock_testapp): self.get_json( '/mock/%s' % self.published_exp_id_2, expected_status_int=401) self.logout()

true

f7fc2401f5dbdc513646138eae7f394bbb01724a

6,458

py

Python

luigi/cmdline.py

RileyEv/luigi

00a094ddf6438aca5b481ac94bf03c2b7d8d2f73

[ "Apache-2.0" ]

1

2018-08-05T14:52:15.000Z

luigi/cmdline.py

RileyEv/luigi

00a094ddf6438aca5b481ac94bf03c2b7d8d2f73

[ "Apache-2.0" ]

null

luigi/cmdline.py

RileyEv/luigi

00a094ddf6438aca5b481ac94bf03c2b7d8d2f73

[ "Apache-2.0" ]

null

# @Author: Riley Evans # @Date: 2018-08-02T11:39:56+01:00 # @Email: revans35@jaguarlandrover.com # @Project: DIY Report Automation # @Filename: cmdline.py # @Last modified by: Riley Evans # @Last modified time: 2018-08-07T11:17:06+01:00 import os import argparse import logging import logging.config import sys from luigi.retcodes import run_with_retcodes def luigi_run(argv=sys.argv[1:]): run_with_retcodes(argv) def luigid(argv=sys.argv[1:]): import luigi.server import luigi.process import luigi.configuration parser = argparse.ArgumentParser(description=u'Central luigi server') parser.add_argument( u'--background', help=u'Run in background mode', action='store_true') parser.add_argument(u'--pidfile', help=u'Write pidfile') parser.add_argument(u'--logdir', help=u'log directory') parser.add_argument(u'--state-path', help=u'Pickled state file') parser.add_argument(u'--address', help=u'Listening interface') parser.add_argument(u'--unix-socket', help=u'Unix socket path') parser.add_argument(u'--port', default=8082, help=u'Listening port') opts = parser.parse_args(argv) if opts.state_path: config = luigi.configuration.get_config() config.set('scheduler', 'state_path', opts.state_path) if opts.background: # daemonize sets up logging to spooled log files logging.getLogger().setLevel(logging.INFO) luigi.process.daemonize(luigi.server.run, api_port=opts.port, address=opts.address, pidfile=opts.pidfile, logdir=opts.logdir, unix_socket=opts.unix_socket) else: if opts.logdir: logging.basicConfig(level=logging.INFO, format=luigi.process.get_log_format(), filename=os.path.join(opts.logdir, "luigi-server.log")) else: config = luigi.configuration.get_config() logging_conf = None if not config.getboolean('core', 'no_configure_logging', False): logging_conf = config.get('core', 'logging_conf_file', None) if logging_conf is not None and not os.path.exists(logging_conf): raise Exception( "Error: Unable to locate specified logging configuration file!") if logging_conf is not None: print("Configuring logging from file: {}".format(logging_conf)) logging.config.fileConfig(logging_conf) else: print( "Defaulting to basic logging; consider specifying logging_conf_file in luigi.cfg.") logging.basicConfig(level=logging.INFO, format=luigi.process.get_log_format()) luigi.server.run(api_port=opts.port, address=opts.address, unix_socket=opts.unix_socket) # Luigi Worker cmd tool # def luigiw(argv=sys.argv[1:]): # import luigi.server # import luigi.process # import luigi.configuration # parser = argparse.ArgumentParser(description=u'Luigi namespace worker') # parser.add_argument( # u'--background', help=u'Run in background mode', action='store_true') # parser.add_argument(u'--pidfile', help=u'Write pidfile') # parser.add_argument(u'--logdir', help=u'log directory') # parser.add_argument(u'--state-path', help=u'Pickled state file') # parser.add_argument(u'--address', help=u'Listening interface') # parser.add_argument(u'--unix-socket', help=u'Unix socket path') # parser.add_argument(u'--port', default=8082, help=u'Listening port') # # opts = parser.parse_args(argv) # # if opts.state_path: # config = luigi.configuration.get_config() # config.set('scheduler', 'state_path', opts.state_path) # # if opts.background: # # daemonize sets up logging to spooled log files # logging.getLogger().setLevel(logging.INFO) # luigi.process.daemonize(luigi.server.run, api_port=opts.port, # address=opts.address, pidfile=opts.pidfile, # logdir=opts.logdir, unix_socket=opts.unix_socket) # else: # if opts.logdir: # logging.basicConfig(level=logging.INFO, format=luigi.process.get_log_format(), # filename=os.path.join(opts.logdir, "luigi-server.log")) # else: # config = luigi.configuration.get_config() # logging_conf = None # if not config.getboolean('core', 'no_configure_logging', False): # logging_conf = config.get('core', 'logging_conf_file', None) # if logging_conf is not None and not os.path.exists(logging_conf): # raise Exception( # "Error: Unable to locate specified logging configuration file!") # if logging_conf is not None: # print("Configuring logging from file: {}".format(logging_conf)) # logging.config.fileConfig(logging_conf) # else: # print( # "Defaulting to basic logging; consider specifying logging_conf_file in luigi.cfg.") # logging.basicConfig(level=logging.INFO, # format=luigi.process.get_log_format()) # luigi.server.run(api_port=opts.port, address=opts.address, # unix_socket=opts.unix_socket) def luigiw(argv=sys.argv[1:]): """ A luigi worker which runs tasks with the given namespace """ logger = logging.getLogger('luigi-interface') with luigi.cmdline_parser.CmdlineParser.global_instance(argv): retcodes = retcode() worker = None try: worker = luigi.interface._run(argv)['worker'] except luigi.interface.PidLockAlreadyTakenExit: sys.exit(retcodes.already_running) except Exception: # Some errors occur before logging is set up, we set it up now luigi.interface.setup_interface_logging() logger.exception("Uncaught exception in luigi") sys.exit(retcodes.unhandled_exception) # with luigi.cmdline_parser.CmdlineParser.global_instance(argv): # task_sets = luigi.execution_summary._summary_dict(worker) # root_task = luigi.execution_summary._root_task(worker) # non_empty_categories = {k: v for k, v in task_sets.items() if v}.keys()

43.635135

105

0.633942

import os import argparse import logging import logging.config import sys from luigi.retcodes import run_with_retcodes def luigi_run(argv=sys.argv[1:]): run_with_retcodes(argv) def luigid(argv=sys.argv[1:]): import luigi.server import luigi.process import luigi.configuration parser = argparse.ArgumentParser(description=u'Central luigi server') parser.add_argument( u'--background', help=u'Run in background mode', action='store_true') parser.add_argument(u'--pidfile', help=u'Write pidfile') parser.add_argument(u'--logdir', help=u'log directory') parser.add_argument(u'--state-path', help=u'Pickled state file') parser.add_argument(u'--address', help=u'Listening interface') parser.add_argument(u'--unix-socket', help=u'Unix socket path') parser.add_argument(u'--port', default=8082, help=u'Listening port') opts = parser.parse_args(argv) if opts.state_path: config = luigi.configuration.get_config() config.set('scheduler', 'state_path', opts.state_path) if opts.background: logging.getLogger().setLevel(logging.INFO) luigi.process.daemonize(luigi.server.run, api_port=opts.port, address=opts.address, pidfile=opts.pidfile, logdir=opts.logdir, unix_socket=opts.unix_socket) else: if opts.logdir: logging.basicConfig(level=logging.INFO, format=luigi.process.get_log_format(), filename=os.path.join(opts.logdir, "luigi-server.log")) else: config = luigi.configuration.get_config() logging_conf = None if not config.getboolean('core', 'no_configure_logging', False): logging_conf = config.get('core', 'logging_conf_file', None) if logging_conf is not None and not os.path.exists(logging_conf): raise Exception( "Error: Unable to locate specified logging configuration file!") if logging_conf is not None: print("Configuring logging from file: {}".format(logging_conf)) logging.config.fileConfig(logging_conf) else: print( "Defaulting to basic logging; consider specifying logging_conf_file in luigi.cfg.") logging.basicConfig(level=logging.INFO, format=luigi.process.get_log_format()) luigi.server.run(api_port=opts.port, address=opts.address, unix_socket=opts.unix_socket) .argv[1:]): logger = logging.getLogger('luigi-interface') with luigi.cmdline_parser.CmdlineParser.global_instance(argv): retcodes = retcode() worker = None try: worker = luigi.interface._run(argv)['worker'] except luigi.interface.PidLockAlreadyTakenExit: sys.exit(retcodes.already_running) except Exception: luigi.interface.setup_interface_logging() logger.exception("Uncaught exception in luigi") sys.exit(retcodes.unhandled_exception)

true

f7fc240844873183faf499473565436ad4e57fb7

9,325

py

Python

aerosandbox/structures/materials.py

raihaan123/AeroSandbox

1e7c78f04b066415f671237a4833ba98901bb9ec

[ "MIT" ]

1

2021-11-01T22:48:12.000Z

aerosandbox/structures/materials.py

raihaan123/AeroSandbox

1e7c78f04b066415f671237a4833ba98901bb9ec

[ "MIT" ]

null

aerosandbox/structures/materials.py

raihaan123/AeroSandbox

1e7c78f04b066415f671237a4833ba98901bb9ec

[ "MIT" ]

null

import warnings import copy import aerosandbox.numpy as np class Material: # A short list of properties, more can be added # Physical Properties density = None # kg/m^3 # Mechanical Properties tensile_strength_ultimate = None # Pa tensile_strength_yield = None # Pa elongation_at_break = None # Percentage modulus_of_elasticity = None bulk_modulus = None poissons_ratio = None shear_modulus = None # Electrical Properties electrical_conductivity = None # Thermal Properties cte_linear = None specific_heat_capacity = None thermal_conductivity = None # Extras isotropic = None # add redirects for easy access? Maybe a bad idea _aliases = { 'density' : [ 'rho', ], 'tensile_strength_yield' : [ 'yield_strength', 'yield_stress', ], 'tensile_strength_Ultimate': [ 'ultimate_strength', 'tensile_strength', # Not sure I like this, but typical? ], 'elongation_at_break' : [ 'elongation', ], 'poissons_ratio' : [ 'poisson_ratio' ], 'modulus_of_elasticity' : [ 'elastic_modulus', 'E', ], 'electrical_conductivity' : [ 'elastic_modulus' 'conductivity', ], 'shear_modulus' : [ 'modulus_of_rigidity', 'G', ], 'cte_linear' : [ 'coefficient_of_thermal_expansion', ], 'specific_heat_capacity' : [ 'specific_heat', ] } def _set_aliases(self): for key in self._aliases.keys(): # redirect aliases to original def make_getter(key): def getter(self): # print('getting ' + key) return getattr(self, key) return getter def make_setter(key): def setter(self, value): # print('setting ' + key) setattr(self, key, value) return setter for alias in self._aliases[key]: prop = property(fget=make_getter(key), fset=make_setter(key)) # Add it to the list of properties setattr(self.__class__, alias, prop) def __init__(self, **kwargs): self._set_aliases() # Just stuff everything into vars for now for key in kwargs.keys(): setattr(self, key, kwargs[key]) # %% Web Scraping # A class to import directly from MatMatch? Not 100% reliable, but the lazy way # class MatMatch_Material(Material): # # def __init__(self, # url: str, # force_value: str = None # min/max # ): # self.force_value = force_value # # warnings.warn('This is a web scraping interface.'+\ # '\nAs it depends on an external resource,'+\ # ' functionality is not guaranteed.'+\ # '\nUse at your own risk.') # # import requests # import json # try: # from bs4 import BeautifulSoup # except ImportError: # raise ImportError('Requires BeautifulSoup 4:'+ # '/n pip install beautifulsoup4'+ # '/n(not installed by default)') # # # Get the webpage # r = requests.get(url) # soup = BeautifulSoup(r.content, 'html.parser') # # # Hackish interception of the data loading script # content = soup.find('script', {'id': '__NEXT_DATA__'}).contents # # # Get the json data out # jsoncontent = json.loads(content[0]) # # # Get the material data # sections = jsoncontent['props']['initialProps']['pageProps']['data']['sections'] # # # Get the properties section # sections_dict = {x['sectionId']:x for x in sections} # # # Consolidate all the sections # properties = {} # for section in sections_dict['Properties']['sections']: # for entry in section['properties']: # name = entry['metadata']['name'] # # # make variable format # name = name.lower().replace(' ', '_') # name = name.replace("'", "") # # for datapoint in entry['dataPoints']: # if datapoint['metadata']['unitsSystem'] == 'metric': # value_metric = datapoint['value'] # units = datapoint['metadata']['unit'] # # properties.update({name:{'value': value_metric, # 'units': units}}) # # # TODO: Convert to SI (might require pint?) # properties = self._convert_to_SI(properties) # self.p1 = properties # # # TODO: Figure out min max # properties = self._check_min_max(properties) # self.p2 = properties # # kwargs = {key: properties[key] # for key in properties} # # super().__init__(**kwargs) # # @staticmethod # def _convert_to_SI(properties): # # # This can very likely be done much better # # Factors are the mul needed to get to SI, same for offsets # known_units = { # '°C': {'offset': 272.15}, # 'Ω·m': {}, # 'W/(m·K)': {}, # 'J/(kg·K)': {}, # '1/K': {}, # 'MPa': {'factor': 10E6}, # 'GPa': {'factor': 10E9}, # 'kPa': {'factor': 10E3}, # 'Pa': {}, # '%': {'factor': 1/100}, # '[-]': {}, # 'g/cm³': {'factor': 10E3}, # 'kg/m³': {} # } # # props_out = copy.deepcopy(properties) # for key in properties.keys(): # values = properties[key]['value'] # units = properties[key]['units'] # # if units not in known_units.keys(): # warnings.warn('Unknown units: ' + units + '\n'\ # 'No known conversion, these may not be SI') # val = '' # while val.lower() != 'y' and val.lower() != 'n': # val = input('Include without converting? (y/n) ') # # if val.lower() == 'n': # print('Skipping ' + key) # props_out.pop(key) # continue # else: # props_out[key] = {'min': values['min'], # 'max': values['max']} # continue # # mini = values['min'] * known_units[units].get('factor', 1) + \ # known_units[units].get('offset', 0) # maxi = values['max'] * known_units[units].get('factor', 1) + \ # known_units[units].get('offset', 0) # # # Let's drop temp for now # props_out[key] = {'min': mini, 'max': maxi} # # return props_out # # def _check_min_max(self, properties): # # for key in properties.keys(): # val = properties[key] # # if type(self.force_value) == str: # force_value = self.force_value # elif type(self.force_value) == dict: # force_value = self.force_value[key] # # if force_value == 'max': # properties[key] = val['max'] # continue # elif force_value == 'min': # properties[key] = val['min'] # continue # elif val['max'] == val['min']: # properties[key] = val['max'] # continue # else: # warnings.warn('Min/max mismatch for: ' + key + '\n'\ # 'Please specify value, or force_values in init.') # str_in = '' # # while str_in.lower() != 'min' \ # and str_in.lower() != 'max' \ # and not np.char.isnumeric(str_in): # str_in = input('Specify value (min/max/float) ') # # if np.char.isnumeric(str_in): # properties[key] = float(str_in) # continue # if str_in.lower() == 'min': # properties[key] = val['min'] # continue # if str_in.lower() == 'max': # properties[key] = val['max'] # continue # else: # input('waddup') # # return properties # # # class AISI_1006_Steel_Cold_Drawn(MatMatch_Material): # # def __init__(self): # url = 'https://matmatch.com/materials/mitf545-aisi-1006-cold-drawn' # # super().__init__(url, force_value='min')

33.543165

89

0.457587

import warnings import copy import aerosandbox.numpy as np class Material: density = None tensile_strength_ultimate = None tensile_strength_yield = None elongation_at_break = None modulus_of_elasticity = None bulk_modulus = None poissons_ratio = None shear_modulus = None electrical_conductivity = None cte_linear = None specific_heat_capacity = None thermal_conductivity = None isotropic = None _aliases = { 'density' : [ 'rho', ], 'tensile_strength_yield' : [ 'yield_strength', 'yield_stress', ], 'tensile_strength_Ultimate': [ 'ultimate_strength', 'tensile_strength', ], 'elongation_at_break' : [ 'elongation', ], 'poissons_ratio' : [ 'poisson_ratio' ], 'modulus_of_elasticity' : [ 'elastic_modulus', 'E', ], 'electrical_conductivity' : [ 'elastic_modulus' 'conductivity', ], 'shear_modulus' : [ 'modulus_of_rigidity', 'G', ], 'cte_linear' : [ 'coefficient_of_thermal_expansion', ], 'specific_heat_capacity' : [ 'specific_heat', ] } def _set_aliases(self): for key in self._aliases.keys(): def make_getter(key): def getter(self): return getattr(self, key) return getter def make_setter(key): def setter(self, value): setattr(self, key, value) return setter for alias in self._aliases[key]: prop = property(fget=make_getter(key), fset=make_setter(key)) setattr(self.__class__, alias, prop) def __init__(self, **kwargs): self._set_aliases() for key in kwargs.keys(): setattr(self, key, kwargs[key]) value_metric = datapoint['value'] # units = datapoint['metadata']['unit'] # # properties.update({name:{'value': value_metric, # 'units': units}}) # # # TODO: Convert to SI (might require pint?) # properties = self._convert_to_SI(properties) # self.p1 = properties # # # TODO: Figure out min max # properties = self._check_min_max(properties) # self.p2 = properties # # kwargs = {key: properties[key] # for key in properties} # # super().__init__(**kwargs) # # @staticmethod # def _convert_to_SI(properties): # # # This can very likely be done much better # # Factors are the mul needed to get to SI, same for offsets # known_units = { # '°C': {'offset': 272.15}, # 'Ω·m': {}, # 'W/(m·K)': {}, # 'J/(kg·K)': {}, # '1/K': {}, # 'MPa': {'factor': 10E6}, # 'GPa': {'factor': 10E9}, # 'kPa': {'factor': 10E3}, # 'Pa': {}, # '%': {'factor': 1/100}, # '[-]': {}, # 'g/cm³': {'factor': 10E3}, # 'kg/m³': {} # } # # props_out = copy.deepcopy(properties) # for key in properties.keys(): # values = properties[key]['value'] # units = properties[key]['units'] # # if units not in known_units.keys(): # warnings.warn('Unknown units: ' + units + '\n'\ # 'No known conversion, these may not be SI') # val = '' # while val.lower() != 'y' and val.lower() != 'n': # val = input('Include without converting? (y/n) ') # # if val.lower() == 'n': # print('Skipping ' + key) # props_out.pop(key) # continue # else: # props_out[key] = {'min': values['min'], # 'max': values['max']} # continue # # mini = values['min'] * known_units[units].get('factor', 1) + \ # known_units[units].get('offset', 0) # maxi = values['max'] * known_units[units].get('factor', 1) + \ # known_units[units].get('offset', 0) # # # Let's drop temp for now

true

f7fc242e71b58bb077b447592fb03c96b59f41a1

18,367

py

Python

saliency/lime/saliency.py

dendisuhubdy/pytorch-saliency

dcb3499be127637435a577cb42161b3e096aa28d

[ "MIT" ]

12

2019-06-19T17:29:56.000Z

2021-04-20T11:21:34.000Z

saliency/lime/saliency.py

dendisuhubdy/pytorch-saliency

dcb3499be127637435a577cb42161b3e096aa28d

[ "MIT" ]

null

saliency/lime/saliency.py

dendisuhubdy/pytorch-saliency

dcb3499be127637435a577cb42161b3e096aa28d

[ "MIT" ]

3

2020-03-07T17:08:05.000Z

2020-07-27T11:48:23.000Z

import torch from saliency.saliency import Saliency import numpy as np from scipy.ndimage import label import torchvision from torch.autograd import Variable from torch.autograd import Variable import torch.nn as nn import torch.nn.functional as F import torchvision import torchvision.transforms as transforms import torch.optim as optim import matplotlib.pyplot as plt import random import copy class LimeSaliency(Saliency): def __init__(self, model): super(LimeSaliency, self).__init__(model) def generate_saliency(self, input, target): #self.model.zero_grad() output = self.model(input) #index: 0 layer: HP # index: 1 layer: Ship # index: 2 layer: Small Towers # index: 3 layer: Big Towers # index: 4 layer: Small Cities # index: 5 layer: Big Cities # index: 6 layer: Friend # index: 7 layer: Enemy #return (input.grad.clone()[0] * input) input2 = input.clone() image = np.zeros((40, 40)) input2 = input2.view(40, 40, 8) input3 = input.clone() #logical or of the input images to get the original image #only do or over small big cities and towers to get proper coordinates of cities and towers #otherwise it will include enemy ship too if enemy channel is included which will cause object to #be merged with tower or city object for i in range(2,6): image = np.logical_or(image, input2[:, :, i].numpy())*1 #get the number of objects in the image labeled_array, num_objects = label(image) indices = [] for i in range(num_objects): indices.append(np.argwhere(labeled_array == i+1)) #self.generate_file(labeled_array, 'labeled_array') # print('object 1\n') # print(indices[0]) #print('object 2\n') #print(indices[1]) #print('object 3\n') #print(indices[2]) #print('object 4\n') #print(indices[3]) #print('object 5\n') #print(indices[4]) #hp hp_array, hp = label(input2[:, :, 0].numpy()) hp_indices = [] for i in range(hp): hp_indices.append(np.argwhere(hp_array == i+1)) #self.generate_file(hp_array, 'hp_array') #ship #remove agent because we don't want to perturb that ship_image = input2[:, :, 1].clone().numpy() ship_image[19][20] = 0 ship_image[20][20] = 0 ship_image[21][20] = 0 ship_array, ships = label(ship_image) # print('ships ', ships ) ship_indices = [] for i in range(ships): ship_indices.append(np.argwhere(ship_array == i+1)) #self.generate_file(ship_array, 'ship_array') values = torch.zeros(40*40*5) values = values.view(40, 40, 5) input2 = input.clone() input2 = input2.view(40, 40, 8) features = self.generate_features(input2) #print(features) outputs = output[:, target].data.numpy() # index: 0 layer: HP # index: 1 layer: Ship # index: 2 layer: Small Towers # index: 3 layer: Big Towers # index: 4 layer: Small Cities # index: 5 layer: Big Cities # index: 6 layer: Friend # index: 7 layer: Enemy #output layers: #0 HP #1 agent #2 size #3 type #4 friend/enemy #here i refers to the output salient layers #print('num_objects', num_objects) for i in range(5): if i==0:# output HP for j in range(hp): for k in range(hp_indices[j].shape[0]): x = hp_indices[j][k][0] y = hp_indices[j][k][1] temp = 0.3*input2[:, :, 0][x][y] input2[:, :, 0][x][y] += temp perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) elif i==1:#output agent for j in range(ships): for k in range(ship_indices[j].shape[0]): x = ship_indices[j][k][0] y = ship_indices[j][k][1] if input2[:, :, 1][x][y] == 1: input2[:, :, 1][x][y] = 0 perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) elif i==2: #output size #print('in i== 2') for l in range(2, 6): #print('layer: ',l) for j in range(num_objects): # print('object: ',j) s = 0 for k in range(indices[j].shape[0]): x = indices[j][k][0] y = indices[j][k][1] # print('x: '+str(x)+' y: '+str(y)) # print('Value of input: '+str(input2[:, :, i][x][y])) # print(input2[:, :, l][x][y]) if l == 2 or l==4: #small tower/city if input2[:, :, l][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l+1][x][y] = 1 else: #big tower/city if input2[:, :, l ][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l-1][x][y] = 1 #print(saliency) if s==1: perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) #print(saliency[0][target]) elif i==3: #output type for l in range(2, 6): for j in range(num_objects): s = 0 for k in range(indices[j].shape[0]): x = indices[j][k][0] y = indices[j][k][1] # print('x: '+str(x)+' y: '+str(y)) # print('Value of input: '+str(input2[:, :, i][x][y])) if l == 2 or l == 3: #small tower/city if input2[:, :, l][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l+2][x][y] = 1 else: #big tower/city if input2[:, :, l ][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l-2][x][y] = 1 #print(saliency) if s==1: perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) else:# output frenemy for l in range(6, 8): for j in range(num_objects): s = 0 for k in range(indices[j].shape[0]): x = indices[j][k][0] y = indices[j][k][1] if l == 6: if input2[:, :, l][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l+1][x][y] = 1 else: if input2[:, :, l][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l-1][x][y] = 1 if s==1: perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) #print(features) #print(outputs) linear_model = LinearRegressionModel(21, 1) linear_model.train() criterion = nn.L1Loss() optimiser = torch.optim.SGD(linear_model.parameters(), lr = 0.01) epochs = 5000 for epoch in range(epochs): inputs = Variable(torch.from_numpy(features).float()) labels = Variable(torch.from_numpy(outputs)) optimiser.zero_grad() pred = linear_model.forward(inputs) loss = criterion(pred, labels) loss.backward() optimiser.step() #print('epoch {}, loss {}'.format(epoch,loss.item())) #train_loss = eval_net(features, outputs, linear_model) # print('train_loss: %.5f ' % # (train_loss)) # weights_ = [] # for name, param in linear_model.parameters() : # weights_.append(param.data.numpy()) #new_model = copy.deepcopy(linear_model) weights = linear_model.linear.weight.clone() weights = weights.data.numpy() #print(weights) # print('weights') # print(weights_) # weights_ = np.asarray(weights_) values = self.plot_saliency(weights, input3) return (values.view(1, 40*40*5)) #0 HP #1 enemy ship #2 size #3 type #4 friend/enemy def generate_features(self, input): hp_array, hp = label(input[:, :, 0].numpy()) hp_indices = [] for i in range(hp): hp_indices.append(np.argwhere(hp_array == i+1)) image = np.zeros((40, 40)) for i in range(2,6): image = np.logical_or(image, input[:, :, i].numpy())*1 feature = np.zeros((1, 21)) #put hp of agent. agent will always be object 3 - 1 feature[0][20] = input[:, :, 0][hp_indices[2][0][0]][hp_indices[2][0][1]] #print(feature[0][20]) #self.generate_file(hp_array, 'feature_hp_array') #zero out the agent ship_image = input[:, :, 1].clone().numpy() ship_image[19][20] = 0 ship_image[20][20] = 0 ship_image[21][20] = 0 ship_image, _ = label(ship_image) #self.generate_file(ship_array, 'mod_ship_array') #self.generate_file(image, 'image') #self.generate_file(ship_image, 'ship_image') counter = 0 #slicing the hp_array quadrant vise for i in range(2): for j in range(2): #array = hp_array[0 + 20*i :19 + 20*i, 0 + 20*j :19 + 20*j] #labeled_array, num_objects = label(array) indices = np.argwhere(image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j] > 0) # print(indices) # print('\n\n') # print(indices[0][0]) # print(indices[0][1]) x = indices[0][0] + 20*i y = indices[0][1] + 20*j # print('x ',x) # print('y ',y) #first feature will be HP feature[0][counter + 0] = input[:, :, 0][x][y] #second feature will be checking prescence of enemy ship _, objs = label(ship_image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j]) feature[0][counter + 1] = (1 if objs>0 else 0) #third feature check size 1 if big 0 if small feature[0][counter + 2] = (1 if input[:, :, 3][x][y] == 1 or input[:, :, 5][x][y] == 1 else 0) #fourth feature will check type. 1 if city 0 if tower feature[0][counter + 3] = (1 if input[:, :, 4][x][y] == 1 or input[:, :, 5][x][y] == 1 else 0) #fifth feature will check frie\nd/enemy. 1 if friend 0 if enemy feature[0][counter + 4] = (1 if input[:, :, 6][x][y] == 1 else 0) counter += 5 return feature def generate_file(self, array, name): f = open(str(name)+'.txt', 'w') f.write('\n\n\n') for i in range(array.shape[0]): for j in range(array.shape[1]): f.write(str(array[i,j])) f.write('\n') f.close() def plot_saliency(self, feature, input3): print('in plot ') values = torch.zeros(40*40*5) values = values.view(40, 40, 5) input3 = input3.view(40,40,8) feature = torch.from_numpy(feature).float() print('feature: ') print(feature) #this will give you dimensions of only objects image = np.zeros((40, 40)) for i in range(2,6): image = np.logical_or(image, input3[:, :, i].numpy())*1 labeled_array, num_objects = label(image) self.generate_file(image, 'image') ship_image = input3[:, :, 1].clone().numpy() ship_image[19][20] = 0 ship_image[20][20] = 0 ship_image[21][20] = 0 ship_image, _ = label(ship_image) self.generate_file(ship_image, 'ship_image') counter = 0 #slicing the hp_array quadrant vise for i in range(2): for j in range(2): #array = hp_array[0 + 20*i :19 + 20*i, 0 + 20*j :19 + 20*j] #labeled_array, num_objects = label(array) indices = np.argwhere(image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j] > 0) #second feature will be checking prescence of enemy ship print('i ',i) print('j ',j) print(indices) print('\n\n') # print(indices[0][0]) # print(indices[0][1]) #first take care of HP for k in range(indices.shape[0]): x = indices[k][0] + 20*i y = indices[k][1] + 20*j print('x ',x) print('y ',y) #first feature will be HP values[:, :, 0][x][y] = feature[0][counter + 0] values[:, :, 2][x][y] = feature[0][counter + 2] values[:, :, 3][x][y] = feature[0][counter + 3] values[:, :, 4][x][y] = feature[0][counter + 4] #second feature will be checking prescence of enemy ship _, objs = label(ship_image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j]) enemytank_indices = np.argwhere(ship_image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j]>0) if objs > 0: print('objs ') print(objs) for k in range(enemytank_indices.shape[0]): x = enemytank_indices[k][0] + 20*i y = enemytank_indices[k][1] + 20*j print('x ',x) print('y ',y) values[:, :, 1][x][y] = feature[0][counter + 1] values[:, :, 0][x][y] = feature[0][counter + 0] # #third feature check size 1 if big 0 if small # feature[0][counter + 2] = (1 if input[:, :, 3][x][y] == 1 # or input[:, :, 5][x][y] == 1 else 0) # #fourth feature will check type. 1 if city 0 if tower # feature[0][counter + 3] = (1 if input[:, :, 4][x][y] == 1 # or input[:, :, 5][x][y] == 1 else 0) # #fifth feature will check friend/enemy. 1 if friend 0 if enemy # feature[0][counter + 4] = (1 if input[:, :, 6][x][y] == 1 else 0) counter += 5 values[:, :, 0][19][20] = feature[0][20] values[:, :, 0][20][20] = feature[0][20] values[:, :, 0][21][20] = feature[0][20] return values class LinearRegressionModel(nn.Module): def __init__(self, input_dim, output_dim): super(LinearRegressionModel, self).__init__() self.linear = nn.Linear(input_dim, output_dim) def forward(self, x): out = self.linear(x) return out def eval_net(x, y, model): correct = 0 total = 0 total_loss = 0 model.eval() # set model to evaluation mode criterion = nn.L1Loss() for i, (x1, y1) in enumerate(zip(x, y)): inputs = Variable(torch.from_numpy(x1).float()) labels = Variable(torch.from_numpy(y1)) pred = model.forward(inputs) total += labels.size(0) #correct += (pred == labels.data).sum() loss = criterion(pred, labels) total_loss += loss.item() #total_loss += loss.item() model.train() # set model back to train mode return total_loss / total

39.928261

105

0.457505

import torch from saliency.saliency import Saliency import numpy as np from scipy.ndimage import label import torchvision from torch.autograd import Variable from torch.autograd import Variable import torch.nn as nn import torch.nn.functional as F import torchvision import torchvision.transforms as transforms import torch.optim as optim import matplotlib.pyplot as plt import random import copy class LimeSaliency(Saliency): def __init__(self, model): super(LimeSaliency, self).__init__(model) def generate_saliency(self, input, target): output = self.model(input) input2 = input.clone() image = np.zeros((40, 40)) input2 = input2.view(40, 40, 8) input3 = input.clone() for i in range(2,6): image = np.logical_or(image, input2[:, :, i].numpy())*1 labeled_array, num_objects = label(image) indices = [] for i in range(num_objects): indices.append(np.argwhere(labeled_array == i+1)) hp_array, hp = label(input2[:, :, 0].numpy()) hp_indices = [] for i in range(hp): hp_indices.append(np.argwhere(hp_array == i+1)) ship_image = input2[:, :, 1].clone().numpy() ship_image[19][20] = 0 ship_image[20][20] = 0 ship_image[21][20] = 0 ship_array, ships = label(ship_image) # print('ships ', ships ) ship_indices = [] for i in range(ships): ship_indices.append(np.argwhere(ship_array == i+1)) #self.generate_file(ship_array, 'ship_array') values = torch.zeros(40*40*5) values = values.view(40, 40, 5) input2 = input.clone() input2 = input2.view(40, 40, 8) features = self.generate_features(input2) #print(features) outputs = output[:, target].data.numpy() # index: 0 layer: HP # index: 1 layer: Ship # index: 2 layer: Small Towers # index: 3 layer: Big Towers # index: 4 layer: Small Cities # index: 5 layer: Big Cities # index: 6 layer: Friend # index: 7 layer: Enemy #output layers: #0 HP #1 agent #2 size #3 type #4 friend/enemy #here i refers to the output salient layers #print('num_objects', num_objects) for i in range(5): if i==0:# output HP for j in range(hp): for k in range(hp_indices[j].shape[0]): x = hp_indices[j][k][0] y = hp_indices[j][k][1] temp = 0.3*input2[:, :, 0][x][y] input2[:, :, 0][x][y] += temp perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) elif i==1:#output agent for j in range(ships): for k in range(ship_indices[j].shape[0]): x = ship_indices[j][k][0] y = ship_indices[j][k][1] if input2[:, :, 1][x][y] == 1: input2[:, :, 1][x][y] = 0 perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) elif i==2: #output size #print('in i== 2') for l in range(2, 6): #print('layer: ',l) for j in range(num_objects): # print('object: ',j) s = 0 for k in range(indices[j].shape[0]): x = indices[j][k][0] y = indices[j][k][1] # print('x: '+str(x)+' y: '+str(y)) # print('Value of input: '+str(input2[:, :, i][x][y])) # print(input2[:, :, l][x][y]) if l == 2 or l==4: #small tower/city if input2[:, :, l][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l+1][x][y] = 1 else: #big tower/city if input2[:, :, l ][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l-1][x][y] = 1 #print(saliency) if s==1: perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) #print(saliency[0][target]) elif i==3: #output type for l in range(2, 6): for j in range(num_objects): s = 0 for k in range(indices[j].shape[0]): x = indices[j][k][0] y = indices[j][k][1] # print('x: '+str(x)+' y: '+str(y)) # print('Value of input: '+str(input2[:, :, i][x][y])) if l == 2 or l == 3: #small tower/city if input2[:, :, l][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l+2][x][y] = 1 else: #big tower/city if input2[:, :, l ][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l-2][x][y] = 1 #print(saliency) if s==1: perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) else:# output frenemy for l in range(6, 8): for j in range(num_objects): s = 0 for k in range(indices[j].shape[0]): x = indices[j][k][0] y = indices[j][k][1] if l == 6: if input2[:, :, l][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l+1][x][y] = 1 else: if input2[:, :, l][x][y] == 1: s = 1 input2[:, :, l][x][y] = 0 input2[:, :, l-1][x][y] = 1 if s==1: perturbed_output = self.model(input2.view(1, 12800)) feature = self.generate_features(input2) features = np.concatenate((features, feature)) outputs = np.concatenate((outputs, perturbed_output[:, target].data.numpy())) input2 = input.clone() input2 = input2.view(40, 40, 8) #print(features) #print(outputs) linear_model = LinearRegressionModel(21, 1) linear_model.train() criterion = nn.L1Loss() optimiser = torch.optim.SGD(linear_model.parameters(), lr = 0.01) epochs = 5000 for epoch in range(epochs): inputs = Variable(torch.from_numpy(features).float()) labels = Variable(torch.from_numpy(outputs)) optimiser.zero_grad() pred = linear_model.forward(inputs) loss = criterion(pred, labels) loss.backward() optimiser.step() #print('epoch {}, loss {}'.format(epoch,loss.item())) #train_loss = eval_net(features, outputs, linear_model) # print('train_loss: %.5f ' % # (train_loss)) # weights_ = [] # for name, param in linear_model.parameters() : # weights_.append(param.data.numpy()) #new_model = copy.deepcopy(linear_model) weights = linear_model.linear.weight.clone() weights = weights.data.numpy() #print(weights) # print('weights') # print(weights_) # weights_ = np.asarray(weights_) values = self.plot_saliency(weights, input3) return (values.view(1, 40*40*5)) #0 HP #1 enemy ship #2 size #3 type #4 friend/enemy def generate_features(self, input): hp_array, hp = label(input[:, :, 0].numpy()) hp_indices = [] for i in range(hp): hp_indices.append(np.argwhere(hp_array == i+1)) image = np.zeros((40, 40)) for i in range(2,6): image = np.logical_or(image, input[:, :, i].numpy())*1 feature = np.zeros((1, 21)) #put hp of agent. agent will always be object 3 - 1 feature[0][20] = input[:, :, 0][hp_indices[2][0][0]][hp_indices[2][0][1]] #print(feature[0][20]) #self.generate_file(hp_array, 'feature_hp_array') #zero out the agent ship_image = input[:, :, 1].clone().numpy() ship_image[19][20] = 0 ship_image[20][20] = 0 ship_image[21][20] = 0 ship_image, _ = label(ship_image) #self.generate_file(ship_array, 'mod_ship_array') #self.generate_file(image, 'image') #self.generate_file(ship_image, 'ship_image') counter = 0 #slicing the hp_array quadrant vise for i in range(2): for j in range(2): #array = hp_array[0 + 20*i :19 + 20*i, 0 + 20*j :19 + 20*j] #labeled_array, num_objects = label(array) indices = np.argwhere(image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j] > 0) # print(indices) # print('\n\n') # print(indices[0][0]) # print(indices[0][1]) x = indices[0][0] + 20*i y = indices[0][1] + 20*j # print('x ',x) # print('y ',y) #first feature will be HP feature[0][counter + 0] = input[:, :, 0][x][y] #second feature will be checking prescence of enemy ship _, objs = label(ship_image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j]) feature[0][counter + 1] = (1 if objs>0 else 0) #third feature check size 1 if big 0 if small feature[0][counter + 2] = (1 if input[:, :, 3][x][y] == 1 or input[:, :, 5][x][y] == 1 else 0) #fourth feature will check type. 1 if city 0 if tower feature[0][counter + 3] = (1 if input[:, :, 4][x][y] == 1 or input[:, :, 5][x][y] == 1 else 0) #fifth feature will check frie\nd/enemy. 1 if friend 0 if enemy feature[0][counter + 4] = (1 if input[:, :, 6][x][y] == 1 else 0) counter += 5 return feature def generate_file(self, array, name): f = open(str(name)+'.txt', 'w') f.write('\n\n\n') for i in range(array.shape[0]): for j in range(array.shape[1]): f.write(str(array[i,j])) f.write('\n') f.close() def plot_saliency(self, feature, input3): print('in plot ') values = torch.zeros(40*40*5) values = values.view(40, 40, 5) input3 = input3.view(40,40,8) feature = torch.from_numpy(feature).float() print('feature: ') print(feature) #this will give you dimensions of only objects image = np.zeros((40, 40)) for i in range(2,6): image = np.logical_or(image, input3[:, :, i].numpy())*1 labeled_array, num_objects = label(image) self.generate_file(image, 'image') ship_image = input3[:, :, 1].clone().numpy() ship_image[19][20] = 0 ship_image[20][20] = 0 ship_image[21][20] = 0 ship_image, _ = label(ship_image) self.generate_file(ship_image, 'ship_image') counter = 0 #slicing the hp_array quadrant vise for i in range(2): for j in range(2): #array = hp_array[0 + 20*i :19 + 20*i, 0 + 20*j :19 + 20*j] #labeled_array, num_objects = label(array) indices = np.argwhere(image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j] > 0) #second feature will be checking prescence of enemy ship print('i ',i) print('j ',j) print(indices) print('\n\n') # print(indices[0][0]) # print(indices[0][1]) #first take care of HP for k in range(indices.shape[0]): x = indices[k][0] + 20*i y = indices[k][1] + 20*j print('x ',x) print('y ',y) #first feature will be HP values[:, :, 0][x][y] = feature[0][counter + 0] values[:, :, 2][x][y] = feature[0][counter + 2] values[:, :, 3][x][y] = feature[0][counter + 3] values[:, :, 4][x][y] = feature[0][counter + 4] #second feature will be checking prescence of enemy ship _, objs = label(ship_image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j]) enemytank_indices = np.argwhere(ship_image[0 + 20*i :20 + 20*i, 0 + 20*j :20 + 20*j]>0) if objs > 0: print('objs ') print(objs) for k in range(enemytank_indices.shape[0]): x = enemytank_indices[k][0] + 20*i y = enemytank_indices[k][1] + 20*j print('x ',x) print('y ',y) values[:, :, 1][x][y] = feature[0][counter + 1] values[:, :, 0][x][y] = feature[0][counter + 0] # #third feature check size 1 if big 0 if small # feature[0][counter + 2] = (1 if input[:, :, 3][x][y] == 1 # or input[:, :, 5][x][y] == 1 else 0) # #fourth feature will check type. 1 if city 0 if tower # feature[0][counter + 3] = (1 if input[:, :, 4][x][y] == 1 # or input[:, :, 5][x][y] == 1 else 0) # #fifth feature will check friend/enemy. 1 if friend 0 if enemy # feature[0][counter + 4] = (1 if input[:, :, 6][x][y] == 1 else 0) counter += 5 values[:, :, 0][19][20] = feature[0][20] values[:, :, 0][20][20] = feature[0][20] values[:, :, 0][21][20] = feature[0][20] return values class LinearRegressionModel(nn.Module): def __init__(self, input_dim, output_dim): super(LinearRegressionModel, self).__init__() self.linear = nn.Linear(input_dim, output_dim) def forward(self, x): out = self.linear(x) return out def eval_net(x, y, model): correct = 0 total = 0 total_loss = 0 model.eval() # set model to evaluation mode criterion = nn.L1Loss() for i, (x1, y1) in enumerate(zip(x, y)): inputs = Variable(torch.from_numpy(x1).float()) labels = Variable(torch.from_numpy(y1)) pred = model.forward(inputs) total += labels.size(0) #correct += (pred == labels.data).sum() loss = criterion(pred, labels) total_loss += loss.item() #total_loss += loss.item() model.train() # set model back to train mode return total_loss / total

true

f7fc24de7a98724ab3a74270c6473d7f970b075d

375

py

Python

main.py

hongkunyoo/coffeewhale

aae5f338f074b64dcc2988060c9ca026bf73ebbc

[ "MIT" ]

1

2020-05-07T01:20:44.000Z

main.py

hongkunyoo/coffeewhale

aae5f338f074b64dcc2988060c9ca026bf73ebbc

[ "MIT" ]

null

main.py

hongkunyoo/coffeewhale

aae5f338f074b64dcc2988060c9ca026bf73ebbc

[ "MIT" ]

1

2020-05-07T01:20:46.000Z

import coffeewhale import time def main(): test_func() @coffeewhale.on_except def test_func(): print('start sleeping') time.sleep(1) print('after sleep') raise Exception() # coffeewhale.notify(url="https://hooks.slack.com/services/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", # result='hello world!') if __name__ == "__main__": main()

17.857143

109

0.688

import coffeewhale import time def main(): test_func() @coffeewhale.on_except def test_func(): print('start sleeping') time.sleep(1) print('after sleep') raise Exception() if __name__ == "__main__": main()

true

f7fc27fe04e378057135d015acea5b2e104f7262

102

py

Python

practical-penguins/trivia_tavern/trivia_builder/apps.py

Vthechamp22/summer-code-jam-2021

0a8bf1f22f6c73300891fd779da36efd8e1304c1

[ "MIT" ]

40

2020-08-02T07:38:22.000Z

2021-07-26T01:46:50.000Z

practical-penguins/trivia_tavern/trivia_builder/apps.py

Vthechamp22/summer-code-jam-2021

0a8bf1f22f6c73300891fd779da36efd8e1304c1

[ "MIT" ]

134

2020-07-31T12:15:45.000Z

2020-12-13T04:42:19.000Z

practical-penguins/trivia_tavern/trivia_builder/apps.py

Vthechamp22/summer-code-jam-2021

0a8bf1f22f6c73300891fd779da36efd8e1304c1

[ "MIT" ]

101

2020-07-31T12:00:47.000Z

2021-11-01T09:06:58.000Z

from django.apps import AppConfig class TriviaBuilderConfig(AppConfig): name = 'trivia_builder'

17

37

0.784314

from django.apps import AppConfig class TriviaBuilderConfig(AppConfig): name = 'trivia_builder'

true

f7fc280bbe99dd8bec627990d81ce9dd147de348

4,050

py

Python

utils/image_processing/color_spaces.py

ch-andrei/L-IQA

e0e097aec2be468f5288594de89fbe489e4afff3

[ "BSD-2-Clause" ]

7

2020-09-15T03:36:29.000Z

2022-01-25T16:05:42.000Z

utils/image_processing/color_spaces.py

ch-andrei/L-IQA

e0e097aec2be468f5288594de89fbe489e4afff3

[ "BSD-2-Clause" ]

null

utils/image_processing/color_spaces.py

ch-andrei/L-IQA

e0e097aec2be468f5288594de89fbe489e4afff3

[ "BSD-2-Clause" ]

null

import cv2 import numpy as np from utils.image_processing.image_tools import img2array, imread # sources: # https://en.wikipedia.org/wiki/Relative_luminance # https://www.cl.cam.ac.uk/~rkm38/pdfs/mantiuk2016perceptual_display.pdf # converts to linear RGB then to luminance def srgb2rgb(rgb, gamma=2.4): # convert to linear rgb c = 0.04045 a = 0.055 rgb_lin = rgb / 12.92 rgb_lin[rgb > c] = np.power((rgb[rgb > c] + a) / (1.0 + a), gamma) return rgb_lin def rgb2srgb(rgb_lin, gamma=2.4): c = 0.0031308 a = 0.055 rgb = rgb_lin * 12.92 rgb[rgb_lin > c] = (1 + a) * np.power(rgb_lin[rgb_lin > c], 1 / gamma) - a return rgb def srgb2lum(rgb, gamma=2.4): rgb_lin = srgb2rgb(rgb, gamma) return rgb2gray_matlab(rgb_lin) def rgb_lum_weighted(rgb): lum_w = np.zeros_like(rgb) lum_w[..., 0] = rgb[..., 0] * 0.2126 lum_w[..., 1] = rgb[..., 1] * 0.7152 lum_w[..., 2] = rgb[..., 2] * 0.0722 return lum_w def rgb_lum_unweighted(rgb): lum_w = np.zeros_like(rgb) lum_w[..., 0] = rgb[..., 0] / 0.2126 lum_w[..., 1] = rgb[..., 1] / 0.7152 lum_w[..., 2] = rgb[..., 2] / 0.0722 return lum_w def rgb2lum(rgb): return rgb[..., 0] * 0.2126 + rgb[..., 1] * 0.7152 + rgb[..., 2] * 0.0722 def rgb2gray_matlab(rgb): return rgb[..., 0] * 0.2989 + rgb[..., 1] * 0.5870 + rgb[..., 2] * 0.1140 # converts image from RGB to XYZ color space # http://www.brucelindbloom.com/index.html?Eqn_RGB_XYZ_Matrix.html def rgb2xyz(img, shape_as_input=False, format_float=True): h, w, c = img.shape rgb = img2array(img) if format_float: rgb /= 255 rgb = srgb2rgb(rgb) m = np.array( [[0.4124564, 0.3575761, 0.1804375], [0.2126729, 0.7151522, 0.0721750], [0.0193339, 0.1191920, 0.9503041]], np.float32) xyz = m.dot(rgb) return xyz.transpose().reshape(h, w, 3) if shape_as_input else xyz def xyz2rgb(img, shape_as_input=False, cast_uint8=True): h, w, c = img.shape xyz = img2array(img) m = np.array([ [3.2404542 , -1.5371385, -0.4985314], [-0.9692660, 1.8760108, 0.0415560], [0.0556434 , -0.2040259, 1.0572252]], np.float32) rgb = m.dot(xyz) if cast_uint8: rgb = (rgb * 255).astype(np.uint8) return rgb.transpose().reshape(h, w, 3) if shape_as_input else rgb # conversion from RGB to Cie L*a*b* color space is done as per # https://docs.opencv.org/2.4/modules/imgproc/doc/miscellaneous_transformations.html?highlight=cvtcolor#cvtcolor # reference illuminant: d65 def rgb2CieLab(rgb, format_float=False): xyz = rgb2xyz(rgb, shape_as_input=False, format_float=format_float) X, Y, Z = (xyz[0], xyz[1], xyz[2]) # d65 X /= 0.950456 Z /= 1.088754 def f_L(t, thresh=0.008856): L = np.zeros_like(t) inds = t > thresh ninds = (np.logical_not(inds)) if inds.any(): L[inds] = 116.0 * np.power(t[inds], 1.0 / 3.0) - 16.0 if ninds.any(): L[ninds] = 903.3 * t[ninds] return L def f_ab(t, thresh=0.008856): ab = np.zeros_like(t) inds = t > thresh ninds = np.logical_not(inds) if inds.any(): ab[inds] = np.power(t[inds], 1.0 / 3.0) if ninds.any(): ab[ninds] = 7.787 * t[ninds] + 16.0 / 116.0 return ab lab = np.zeros((3, xyz.shape[1]), np.float32) lab[0] = f_L(Y) / 100 lab[1] = (500.0 * (f_ab(X) - f_ab(Y)) + 127) / 255 lab[2] = (200.0 * (f_ab(Y) - f_ab(Z)) + 127) / 255 return lab.astype(np.float32) # test if __name__ == "__main__": imgpath = 'footage/renders' imgname = '25000_image_1_1920_1080.png' img = imread(imgname, imgpath) h, w, c = img.shape xyz = rgb2xyz(img, shape_as_input=True) rgb = xyz2rgb(xyz, shape_as_input=True) diff = (img == rgb) print("lossless for {}/{}={}% of all values".format(diff.sum(), h * w * c, diff.sum() / (h * w * c))) cv2.imshow("img", img) cv2.imshow("rgb", rgb) cv2.waitKey()

26.821192

112

0.583457

import cv2 import numpy as np from utils.image_processing.image_tools import img2array, imread def srgb2rgb(rgb, gamma=2.4): c = 0.04045 a = 0.055 rgb_lin = rgb / 12.92 rgb_lin[rgb > c] = np.power((rgb[rgb > c] + a) / (1.0 + a), gamma) return rgb_lin def rgb2srgb(rgb_lin, gamma=2.4): c = 0.0031308 a = 0.055 rgb = rgb_lin * 12.92 rgb[rgb_lin > c] = (1 + a) * np.power(rgb_lin[rgb_lin > c], 1 / gamma) - a return rgb def srgb2lum(rgb, gamma=2.4): rgb_lin = srgb2rgb(rgb, gamma) return rgb2gray_matlab(rgb_lin) def rgb_lum_weighted(rgb): lum_w = np.zeros_like(rgb) lum_w[..., 0] = rgb[..., 0] * 0.2126 lum_w[..., 1] = rgb[..., 1] * 0.7152 lum_w[..., 2] = rgb[..., 2] * 0.0722 return lum_w def rgb_lum_unweighted(rgb): lum_w = np.zeros_like(rgb) lum_w[..., 0] = rgb[..., 0] / 0.2126 lum_w[..., 1] = rgb[..., 1] / 0.7152 lum_w[..., 2] = rgb[..., 2] / 0.0722 return lum_w def rgb2lum(rgb): return rgb[..., 0] * 0.2126 + rgb[..., 1] * 0.7152 + rgb[..., 2] * 0.0722 def rgb2gray_matlab(rgb): return rgb[..., 0] * 0.2989 + rgb[..., 1] * 0.5870 + rgb[..., 2] * 0.1140 def rgb2xyz(img, shape_as_input=False, format_float=True): h, w, c = img.shape rgb = img2array(img) if format_float: rgb /= 255 rgb = srgb2rgb(rgb) m = np.array( [[0.4124564, 0.3575761, 0.1804375], [0.2126729, 0.7151522, 0.0721750], [0.0193339, 0.1191920, 0.9503041]], np.float32) xyz = m.dot(rgb) return xyz.transpose().reshape(h, w, 3) if shape_as_input else xyz def xyz2rgb(img, shape_as_input=False, cast_uint8=True): h, w, c = img.shape xyz = img2array(img) m = np.array([ [3.2404542 , -1.5371385, -0.4985314], [-0.9692660, 1.8760108, 0.0415560], [0.0556434 , -0.2040259, 1.0572252]], np.float32) rgb = m.dot(xyz) if cast_uint8: rgb = (rgb * 255).astype(np.uint8) return rgb.transpose().reshape(h, w, 3) if shape_as_input else rgb 2CieLab(rgb, format_float=False): xyz = rgb2xyz(rgb, shape_as_input=False, format_float=format_float) X, Y, Z = (xyz[0], xyz[1], xyz[2]) X /= 0.950456 Z /= 1.088754 def f_L(t, thresh=0.008856): L = np.zeros_like(t) inds = t > thresh ninds = (np.logical_not(inds)) if inds.any(): L[inds] = 116.0 * np.power(t[inds], 1.0 / 3.0) - 16.0 if ninds.any(): L[ninds] = 903.3 * t[ninds] return L def f_ab(t, thresh=0.008856): ab = np.zeros_like(t) inds = t > thresh ninds = np.logical_not(inds) if inds.any(): ab[inds] = np.power(t[inds], 1.0 / 3.0) if ninds.any(): ab[ninds] = 7.787 * t[ninds] + 16.0 / 116.0 return ab lab = np.zeros((3, xyz.shape[1]), np.float32) lab[0] = f_L(Y) / 100 lab[1] = (500.0 * (f_ab(X) - f_ab(Y)) + 127) / 255 lab[2] = (200.0 * (f_ab(Y) - f_ab(Z)) + 127) / 255 return lab.astype(np.float32) if __name__ == "__main__": imgpath = 'footage/renders' imgname = '25000_image_1_1920_1080.png' img = imread(imgname, imgpath) h, w, c = img.shape xyz = rgb2xyz(img, shape_as_input=True) rgb = xyz2rgb(xyz, shape_as_input=True) diff = (img == rgb) print("lossless for {}/{}={}% of all values".format(diff.sum(), h * w * c, diff.sum() / (h * w * c))) cv2.imshow("img", img) cv2.imshow("rgb", rgb) cv2.waitKey()

true

f7fc286e0bb652075698395e0d901a2d942649c8

52,170

py

Python

openshift/installer/vendored/openshift-ansible-3.6.173.0.59/roles/lib_openshift/library/oc_image.py

fahlmant/openshift-tools

dbb4f16ccde3404c36c23108c45ca7b67138ee12

[ "Apache-2.0" ]

1

2021-05-13T21:07:21.000Z

openshift/installer/vendored/openshift-ansible-3.6.173.0.59/roles/lib_openshift/library/oc_image.py

fahlmant/openshift-tools

dbb4f16ccde3404c36c23108c45ca7b67138ee12

[ "Apache-2.0" ]

4

2018-11-14T12:52:02.000Z

2020-11-27T15:47:18.000Z

openshift/installer/vendored/openshift-ansible-3.6.173.0.59/roles/lib_openshift/library/oc_image.py

fahlmant/openshift-tools

dbb4f16ccde3404c36c23108c45ca7b67138ee12

[ "Apache-2.0" ]

2

2018-05-22T06:27:16.000Z

2021-07-20T17:08:15.000Z

#!/usr/bin/env python # pylint: disable=missing-docstring # flake8: noqa: T001 # ___ ___ _ _ ___ ___ _ _____ ___ ___ # / __| __| \| | __| _ \ /_\_ _| __| \ # | (_ | _|| .` | _|| / / _ \| | | _|| |) | # \___|___|_|\_|___|_|_\/_/_\_\_|_|___|___/_ _____ # | \ / _ \ | \| |/ _ \_ _| | __| \_ _|_ _| # | |) | (_) | | .` | (_) || | | _|| |) | | | | # |___/ \___/ |_|\_|\___/ |_| |___|___/___| |_| # # Copyright 2016 Red Hat, Inc. and/or its affiliates # and other contributors as indicated by the @author tags. # # 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. # # -*- -*- -*- Begin included fragment: lib/import.py -*- -*- -*- ''' OpenShiftCLI class that wraps the oc commands in a subprocess ''' # pylint: disable=too-many-lines from __future__ import print_function import atexit import copy import json import os import re import shutil import subprocess import tempfile # pylint: disable=import-error try: import ruamel.yaml as yaml except ImportError: import yaml from ansible.module_utils.basic import AnsibleModule # -*- -*- -*- End included fragment: lib/import.py -*- -*- -*- # -*- -*- -*- Begin included fragment: doc/image -*- -*- -*- DOCUMENTATION = ''' --- module: oc_image short_description: Create, modify, and idempotently manage openshift labels. description: - Modify openshift labels programmatically. options: state: description: - State controls the action that will be taken with resource - 'present' will create. Does _not_ support update. - 'list' will read the labels default: present choices: ["present", "list"] aliases: [] kubeconfig: description: - The path for the kubeconfig file to use for authentication required: false default: /etc/origin/master/admin.kubeconfig aliases: [] namespace: description: - The namespace where this object lives required: false default: default aliases: [] debug: description: - Turn on debug output. required: false default: False aliases: [] registry_url: description: - The url for the registry so that openshift can pull the image required: false default: None aliases: [] image_name: description: - The name of the image being imported required: false default: False aliases: [] image_tag: description: - The tag of the image being imported required: false default: None aliases: [] author: - "Ivan Horvath<ihorvath@redhat.com>" extends_documentation_fragment: [] ''' EXAMPLES = ''' - name: Get an imagestream oc_image: name: php55 state: list register: imageout - name: create an imagestream oc_image: state: present image_name: php55 image_tag: int registry_url: registry.example.com namespace: default register: imageout ''' # -*- -*- -*- End included fragment: doc/image -*- -*- -*- # -*- -*- -*- Begin included fragment: ../../lib_utils/src/class/yedit.py -*- -*- -*- class YeditException(Exception): # pragma: no cover ''' Exception class for Yedit ''' pass # pylint: disable=too-many-public-methods class Yedit(object): # pragma: no cover ''' Class to modify yaml files ''' re_valid_key = r"(((\[-?\d+\])|([0-9a-zA-Z%s/_-]+)).?)+$" re_key = r"(?:\[(-?\d+)\])|([0-9a-zA-Z{}/_-]+)" com_sep = set(['.', '#', '|', ':']) # pylint: disable=too-many-arguments def __init__(self, filename=None, content=None, content_type='yaml', separator='.', backup=False): self.content = content self._separator = separator self.filename = filename self.__yaml_dict = content self.content_type = content_type self.backup = backup self.load(content_type=self.content_type) if self.__yaml_dict is None: self.__yaml_dict = {} @property def separator(self): ''' getter method for separator ''' return self._separator @separator.setter def separator(self, inc_sep): ''' setter method for separator ''' self._separator = inc_sep @property def yaml_dict(self): ''' getter method for yaml_dict ''' return self.__yaml_dict @yaml_dict.setter def yaml_dict(self, value): ''' setter method for yaml_dict ''' self.__yaml_dict = value @staticmethod def parse_key(key, sep='.'): '''parse the key allowing the appropriate separator''' common_separators = list(Yedit.com_sep - set([sep])) return re.findall(Yedit.re_key.format(''.join(common_separators)), key) @staticmethod def valid_key(key, sep='.'): '''validate the incoming key''' common_separators = list(Yedit.com_sep - set([sep])) if not re.match(Yedit.re_valid_key.format(''.join(common_separators)), key): return False return True @staticmethod def remove_entry(data, key, sep='.'): ''' remove data at location key ''' if key == '' and isinstance(data, dict): data.clear() return True elif key == '' and isinstance(data, list): del data[:] return True if not (key and Yedit.valid_key(key, sep)) and \ isinstance(data, (list, dict)): return None key_indexes = Yedit.parse_key(key, sep) for arr_ind, dict_key in key_indexes[:-1]: if dict_key and isinstance(data, dict): data = data.get(dict_key) elif (arr_ind and isinstance(data, list) and int(arr_ind) <= len(data) - 1): data = data[int(arr_ind)] else: return None # process last index for remove # expected list entry if key_indexes[-1][0]: if isinstance(data, list) and int(key_indexes[-1][0]) <= len(data) - 1: # noqa: E501 del data[int(key_indexes[-1][0])] return True # expected dict entry elif key_indexes[-1][1]: if isinstance(data, dict): del data[key_indexes[-1][1]] return True @staticmethod def add_entry(data, key, item=None, sep='.'): ''' Get an item from a dictionary with key notation a.b.c d = {'a': {'b': 'c'}}} key = a#b return c ''' if key == '': pass elif (not (key and Yedit.valid_key(key, sep)) and isinstance(data, (list, dict))): return None key_indexes = Yedit.parse_key(key, sep) for arr_ind, dict_key in key_indexes[:-1]: if dict_key: if isinstance(data, dict) and dict_key in data and data[dict_key]: # noqa: E501 data = data[dict_key] continue elif data and not isinstance(data, dict): raise YeditException("Unexpected item type found while going through key " + "path: {} (at key: {})".format(key, dict_key)) data[dict_key] = {} data = data[dict_key] elif (arr_ind and isinstance(data, list) and int(arr_ind) <= len(data) - 1): data = data[int(arr_ind)] else: raise YeditException("Unexpected item type found while going through key path: {}".format(key)) if key == '': data = item # process last index for add # expected list entry elif key_indexes[-1][0] and isinstance(data, list) and int(key_indexes[-1][0]) <= len(data) - 1: # noqa: E501 data[int(key_indexes[-1][0])] = item # expected dict entry elif key_indexes[-1][1] and isinstance(data, dict): data[key_indexes[-1][1]] = item # didn't add/update to an existing list, nor add/update key to a dict # so we must have been provided some syntax like a.b.c[<int>] = "data" for a # non-existent array else: raise YeditException("Error adding to object at path: {}".format(key)) return data @staticmethod def get_entry(data, key, sep='.'): ''' Get an item from a dictionary with key notation a.b.c d = {'a': {'b': 'c'}}} key = a.b return c ''' if key == '': pass elif (not (key and Yedit.valid_key(key, sep)) and isinstance(data, (list, dict))): return None key_indexes = Yedit.parse_key(key, sep) for arr_ind, dict_key in key_indexes: if dict_key and isinstance(data, dict): data = data.get(dict_key) elif (arr_ind and isinstance(data, list) and int(arr_ind) <= len(data) - 1): data = data[int(arr_ind)] else: return None return data @staticmethod def _write(filename, contents): ''' Actually write the file contents to disk. This helps with mocking. ''' tmp_filename = filename + '.yedit' with open(tmp_filename, 'w') as yfd: yfd.write(contents) os.rename(tmp_filename, filename) def write(self): ''' write to file ''' if not self.filename: raise YeditException('Please specify a filename.') if self.backup and self.file_exists(): shutil.copy(self.filename, self.filename + '.orig') # Try to set format attributes if supported try: self.yaml_dict.fa.set_block_style() except AttributeError: pass # Try to use RoundTripDumper if supported. try: Yedit._write(self.filename, yaml.dump(self.yaml_dict, Dumper=yaml.RoundTripDumper)) except AttributeError: Yedit._write(self.filename, yaml.safe_dump(self.yaml_dict, default_flow_style=False)) return (True, self.yaml_dict) def read(self): ''' read from file ''' # check if it exists if self.filename is None or not self.file_exists(): return None contents = None with open(self.filename) as yfd: contents = yfd.read() return contents def file_exists(self): ''' return whether file exists ''' if os.path.exists(self.filename): return True return False def load(self, content_type='yaml'): ''' return yaml file ''' contents = self.read() if not contents and not self.content: return None if self.content: if isinstance(self.content, dict): self.yaml_dict = self.content return self.yaml_dict elif isinstance(self.content, str): contents = self.content # check if it is yaml try: if content_type == 'yaml' and contents: # Try to set format attributes if supported try: self.yaml_dict.fa.set_block_style() except AttributeError: pass # Try to use RoundTripLoader if supported. try: self.yaml_dict = yaml.safe_load(contents, yaml.RoundTripLoader) except AttributeError: self.yaml_dict = yaml.safe_load(contents) # Try to set format attributes if supported try: self.yaml_dict.fa.set_block_style() except AttributeError: pass elif content_type == 'json' and contents: self.yaml_dict = json.loads(contents) except yaml.YAMLError as err: # Error loading yaml or json raise YeditException('Problem with loading yaml file. {}'.format(err)) return self.yaml_dict def get(self, key): ''' get a specified key''' try: entry = Yedit.get_entry(self.yaml_dict, key, self.separator) except KeyError: entry = None return entry def pop(self, path, key_or_item): ''' remove a key, value pair from a dict or an item for a list''' try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if entry is None: return (False, self.yaml_dict) if isinstance(entry, dict): # AUDIT:maybe-no-member makes sense due to fuzzy types # pylint: disable=maybe-no-member if key_or_item in entry: entry.pop(key_or_item) return (True, self.yaml_dict) return (False, self.yaml_dict) elif isinstance(entry, list): # AUDIT:maybe-no-member makes sense due to fuzzy types # pylint: disable=maybe-no-member ind = None try: ind = entry.index(key_or_item) except ValueError: return (False, self.yaml_dict) entry.pop(ind) return (True, self.yaml_dict) return (False, self.yaml_dict) def delete(self, path): ''' remove path from a dict''' try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if entry is None: return (False, self.yaml_dict) result = Yedit.remove_entry(self.yaml_dict, path, self.separator) if not result: return (False, self.yaml_dict) return (True, self.yaml_dict) def exists(self, path, value): ''' check if value exists at path''' try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if isinstance(entry, list): if value in entry: return True return False elif isinstance(entry, dict): if isinstance(value, dict): rval = False for key, val in value.items(): if entry[key] != val: rval = False break else: rval = True return rval return value in entry return entry == value def append(self, path, value): '''append value to a list''' try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if entry is None: self.put(path, []) entry = Yedit.get_entry(self.yaml_dict, path, self.separator) if not isinstance(entry, list): return (False, self.yaml_dict) # AUDIT:maybe-no-member makes sense due to loading data from # a serialized format. # pylint: disable=maybe-no-member entry.append(value) return (True, self.yaml_dict) # pylint: disable=too-many-arguments def update(self, path, value, index=None, curr_value=None): ''' put path, value into a dict ''' try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if isinstance(entry, dict): # AUDIT:maybe-no-member makes sense due to fuzzy types # pylint: disable=maybe-no-member if not isinstance(value, dict): raise YeditException('Cannot replace key, value entry in dict with non-dict type. ' + 'value=[{}] type=[{}]'.format(value, type(value))) entry.update(value) return (True, self.yaml_dict) elif isinstance(entry, list): # AUDIT:maybe-no-member makes sense due to fuzzy types # pylint: disable=maybe-no-member ind = None if curr_value: try: ind = entry.index(curr_value) except ValueError: return (False, self.yaml_dict) elif index is not None: ind = index if ind is not None and entry[ind] != value: entry[ind] = value return (True, self.yaml_dict) # see if it exists in the list try: ind = entry.index(value) except ValueError: # doesn't exist, append it entry.append(value) return (True, self.yaml_dict) # already exists, return if ind is not None: return (False, self.yaml_dict) return (False, self.yaml_dict) def put(self, path, value): ''' put path, value into a dict ''' try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if entry == value: return (False, self.yaml_dict) # deepcopy didn't work # Try to use ruamel.yaml and fallback to pyyaml try: tmp_copy = yaml.load(yaml.round_trip_dump(self.yaml_dict, default_flow_style=False), yaml.RoundTripLoader) except AttributeError: tmp_copy = copy.deepcopy(self.yaml_dict) # set the format attributes if available try: tmp_copy.fa.set_block_style() except AttributeError: pass result = Yedit.add_entry(tmp_copy, path, value, self.separator) if result is None: return (False, self.yaml_dict) # When path equals "" it is a special case. # "" refers to the root of the document # Only update the root path (entire document) when its a list or dict if path == '': if isinstance(result, list) or isinstance(result, dict): self.yaml_dict = result return (True, self.yaml_dict) return (False, self.yaml_dict) self.yaml_dict = tmp_copy return (True, self.yaml_dict) def create(self, path, value): ''' create a yaml file ''' if not self.file_exists(): # deepcopy didn't work # Try to use ruamel.yaml and fallback to pyyaml try: tmp_copy = yaml.load(yaml.round_trip_dump(self.yaml_dict, default_flow_style=False), yaml.RoundTripLoader) except AttributeError: tmp_copy = copy.deepcopy(self.yaml_dict) # set the format attributes if available try: tmp_copy.fa.set_block_style() except AttributeError: pass result = Yedit.add_entry(tmp_copy, path, value, self.separator) if result is not None: self.yaml_dict = tmp_copy return (True, self.yaml_dict) return (False, self.yaml_dict) @staticmethod def get_curr_value(invalue, val_type): '''return the current value''' if invalue is None: return None curr_value = invalue if val_type == 'yaml': curr_value = yaml.load(invalue) elif val_type == 'json': curr_value = json.loads(invalue) return curr_value @staticmethod def parse_value(inc_value, vtype=''): '''determine value type passed''' true_bools = ['y', 'Y', 'yes', 'Yes', 'YES', 'true', 'True', 'TRUE', 'on', 'On', 'ON', ] false_bools = ['n', 'N', 'no', 'No', 'NO', 'false', 'False', 'FALSE', 'off', 'Off', 'OFF'] # It came in as a string but you didn't specify value_type as string # we will convert to bool if it matches any of the above cases if isinstance(inc_value, str) and 'bool' in vtype: if inc_value not in true_bools and inc_value not in false_bools: raise YeditException('Not a boolean type. str=[{}] vtype=[{}]'.format(inc_value, vtype)) elif isinstance(inc_value, bool) and 'str' in vtype: inc_value = str(inc_value) # There is a special case where '' will turn into None after yaml loading it so skip if isinstance(inc_value, str) and inc_value == '': pass # If vtype is not str then go ahead and attempt to yaml load it. elif isinstance(inc_value, str) and 'str' not in vtype: try: inc_value = yaml.safe_load(inc_value) except Exception: raise YeditException('Could not determine type of incoming value. ' + 'value=[{}] vtype=[{}]'.format(type(inc_value), vtype)) return inc_value @staticmethod def process_edits(edits, yamlfile): '''run through a list of edits and process them one-by-one''' results = [] for edit in edits: value = Yedit.parse_value(edit['value'], edit.get('value_type', '')) if edit.get('action') == 'update': # pylint: disable=line-too-long curr_value = Yedit.get_curr_value( Yedit.parse_value(edit.get('curr_value')), edit.get('curr_value_format')) rval = yamlfile.update(edit['key'], value, edit.get('index'), curr_value) elif edit.get('action') == 'append': rval = yamlfile.append(edit['key'], value) else: rval = yamlfile.put(edit['key'], value) if rval[0]: results.append({'key': edit['key'], 'edit': rval[1]}) return {'changed': len(results) > 0, 'results': results} # pylint: disable=too-many-return-statements,too-many-branches @staticmethod def run_ansible(params): '''perform the idempotent crud operations''' yamlfile = Yedit(filename=params['src'], backup=params['backup'], separator=params['separator']) state = params['state'] if params['src']: rval = yamlfile.load() if yamlfile.yaml_dict is None and state != 'present': return {'failed': True, 'msg': 'Error opening file [{}]. Verify that the '.format(params['src']) + 'file exists, that it is has correct permissions, and is valid yaml.'} if state == 'list': if params['content']: content = Yedit.parse_value(params['content'], params['content_type']) yamlfile.yaml_dict = content if params['key']: rval = yamlfile.get(params['key']) or {} return {'changed': False, 'result': rval, 'state': state} elif state == 'absent': if params['content']: content = Yedit.parse_value(params['content'], params['content_type']) yamlfile.yaml_dict = content if params['update']: rval = yamlfile.pop(params['key'], params['value']) else: rval = yamlfile.delete(params['key']) if rval[0] and params['src']: yamlfile.write() return {'changed': rval[0], 'result': rval[1], 'state': state} elif state == 'present': # check if content is different than what is in the file if params['content']: content = Yedit.parse_value(params['content'], params['content_type']) # We had no edits to make and the contents are the same if yamlfile.yaml_dict == content and \ params['value'] is None: return {'changed': False, 'result': yamlfile.yaml_dict, 'state': state} yamlfile.yaml_dict = content # If we were passed a key, value then # we enapsulate it in a list and process it # Key, Value passed to the module : Converted to Edits list # edits = [] _edit = {} if params['value'] is not None: _edit['value'] = params['value'] _edit['value_type'] = params['value_type'] _edit['key'] = params['key'] if params['update']: _edit['action'] = 'update' _edit['curr_value'] = params['curr_value'] _edit['curr_value_format'] = params['curr_value_format'] _edit['index'] = params['index'] elif params['append']: _edit['action'] = 'append' edits.append(_edit) elif params['edits'] is not None: edits = params['edits'] if edits: results = Yedit.process_edits(edits, yamlfile) # if there were changes and a src provided to us we need to write if results['changed'] and params['src']: yamlfile.write() return {'changed': results['changed'], 'result': results['results'], 'state': state} # no edits to make if params['src']: # pylint: disable=redefined-variable-type rval = yamlfile.write() return {'changed': rval[0], 'result': rval[1], 'state': state} # We were passed content but no src, key or value, or edits. Return contents in memory return {'changed': False, 'result': yamlfile.yaml_dict, 'state': state} return {'failed': True, 'msg': 'Unkown state passed'} # -*- -*- -*- End included fragment: ../../lib_utils/src/class/yedit.py -*- -*- -*- # -*- -*- -*- Begin included fragment: lib/base.py -*- -*- -*- # pylint: disable=too-many-lines # noqa: E301,E302,E303,T001 class OpenShiftCLIError(Exception): '''Exception class for openshiftcli''' pass ADDITIONAL_PATH_LOOKUPS = ['/usr/local/bin', os.path.expanduser('~/bin')] def locate_oc_binary(): ''' Find and return oc binary file ''' # https://github.com/openshift/openshift-ansible/issues/3410 # oc can be in /usr/local/bin in some cases, but that may not # be in $PATH due to ansible/sudo paths = os.environ.get("PATH", os.defpath).split(os.pathsep) + ADDITIONAL_PATH_LOOKUPS oc_binary = 'oc' # Use shutil.which if it is available, otherwise fallback to a naive path search try: which_result = shutil.which(oc_binary, path=os.pathsep.join(paths)) if which_result is not None: oc_binary = which_result except AttributeError: for path in paths: if os.path.exists(os.path.join(path, oc_binary)): oc_binary = os.path.join(path, oc_binary) break return oc_binary # pylint: disable=too-few-public-methods class OpenShiftCLI(object): ''' Class to wrap the command line tools ''' def __init__(self, namespace, kubeconfig='/etc/origin/master/admin.kubeconfig', verbose=False, all_namespaces=False): ''' Constructor for OpenshiftCLI ''' self.namespace = namespace self.verbose = verbose self.kubeconfig = Utils.create_tmpfile_copy(kubeconfig) self.all_namespaces = all_namespaces self.oc_binary = locate_oc_binary() # Pylint allows only 5 arguments to be passed. # pylint: disable=too-many-arguments def _replace_content(self, resource, rname, content, force=False, sep='.'): ''' replace the current object with the content ''' res = self._get(resource, rname) if not res['results']: return res fname = Utils.create_tmpfile(rname + '-') yed = Yedit(fname, res['results'][0], separator=sep) changes = [] for key, value in content.items(): changes.append(yed.put(key, value)) if any([change[0] for change in changes]): yed.write() atexit.register(Utils.cleanup, [fname]) return self._replace(fname, force) return {'returncode': 0, 'updated': False} def _replace(self, fname, force=False): '''replace the current object with oc replace''' # We are removing the 'resourceVersion' to handle # a race condition when modifying oc objects yed = Yedit(fname) results = yed.delete('metadata.resourceVersion') if results[0]: yed.write() cmd = ['replace', '-f', fname] if force: cmd.append('--force') return self.openshift_cmd(cmd) def _create_from_content(self, rname, content): '''create a temporary file and then call oc create on it''' fname = Utils.create_tmpfile(rname + '-') yed = Yedit(fname, content=content) yed.write() atexit.register(Utils.cleanup, [fname]) return self._create(fname) def _create(self, fname): '''call oc create on a filename''' return self.openshift_cmd(['create', '-f', fname]) def _delete(self, resource, name=None, selector=None): '''call oc delete on a resource''' cmd = ['delete', resource] if selector is not None: cmd.append('--selector={}'.format(selector)) elif name is not None: cmd.append(name) else: raise OpenShiftCLIError('Either name or selector is required when calling delete.') return self.openshift_cmd(cmd) def _process(self, template_name, create=False, params=None, template_data=None): # noqa: E501 '''process a template template_name: the name of the template to process create: whether to send to oc create after processing params: the parameters for the template template_data: the incoming template's data; instead of a file ''' cmd = ['process'] if template_data: cmd.extend(['-f', '-']) else: cmd.append(template_name) if params: param_str = ["{}={}".format(key, str(value).replace("'", r'"')) for key, value in params.items()] cmd.append('-v') cmd.extend(param_str) results = self.openshift_cmd(cmd, output=True, input_data=template_data) if results['returncode'] != 0 or not create: return results fname = Utils.create_tmpfile(template_name + '-') yed = Yedit(fname, results['results']) yed.write() atexit.register(Utils.cleanup, [fname]) return self.openshift_cmd(['create', '-f', fname]) def _get(self, resource, name=None, selector=None): '''return a resource by name ''' cmd = ['get', resource] if selector is not None: cmd.append('--selector={}'.format(selector)) elif name is not None: cmd.append(name) cmd.extend(['-o', 'json']) rval = self.openshift_cmd(cmd, output=True) # Ensure results are retuned in an array if 'items' in rval: rval['results'] = rval['items'] elif not isinstance(rval['results'], list): rval['results'] = [rval['results']] return rval def _schedulable(self, node=None, selector=None, schedulable=True): ''' perform oadm manage-node scheduable ''' cmd = ['manage-node'] if node: cmd.extend(node) else: cmd.append('--selector={}'.format(selector)) cmd.append('--schedulable={}'.format(schedulable)) return self.openshift_cmd(cmd, oadm=True, output=True, output_type='raw') # noqa: E501 def _list_pods(self, node=None, selector=None, pod_selector=None): ''' perform oadm list pods node: the node in which to list pods selector: the label selector filter if provided pod_selector: the pod selector filter if provided ''' cmd = ['manage-node'] if node: cmd.extend(node) else: cmd.append('--selector={}'.format(selector)) if pod_selector: cmd.append('--pod-selector={}'.format(pod_selector)) cmd.extend(['--list-pods', '-o', 'json']) return self.openshift_cmd(cmd, oadm=True, output=True, output_type='raw') # pylint: disable=too-many-arguments def _evacuate(self, node=None, selector=None, pod_selector=None, dry_run=False, grace_period=None, force=False): ''' perform oadm manage-node evacuate ''' cmd = ['manage-node'] if node: cmd.extend(node) else: cmd.append('--selector={}'.format(selector)) if dry_run: cmd.append('--dry-run') if pod_selector: cmd.append('--pod-selector={}'.format(pod_selector)) if grace_period: cmd.append('--grace-period={}'.format(int(grace_period))) if force: cmd.append('--force') cmd.append('--evacuate') return self.openshift_cmd(cmd, oadm=True, output=True, output_type='raw') def _version(self): ''' return the openshift version''' return self.openshift_cmd(['version'], output=True, output_type='raw') def _import_image(self, url=None, name=None, tag=None): ''' perform image import ''' cmd = ['import-image'] image = '{0}'.format(name) if tag: image += ':{0}'.format(tag) cmd.append(image) if url: cmd.append('--from={0}/{1}'.format(url, image)) cmd.append('-n{0}'.format(self.namespace)) cmd.append('--confirm') return self.openshift_cmd(cmd) def _run(self, cmds, input_data): ''' Actually executes the command. This makes mocking easier. ''' curr_env = os.environ.copy() curr_env.update({'KUBECONFIG': self.kubeconfig}) proc = subprocess.Popen(cmds, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, env=curr_env) stdout, stderr = proc.communicate(input_data) return proc.returncode, stdout.decode('utf-8'), stderr.decode('utf-8') # pylint: disable=too-many-arguments,too-many-branches def openshift_cmd(self, cmd, oadm=False, output=False, output_type='json', input_data=None): '''Base command for oc ''' cmds = [self.oc_binary] if oadm: cmds.append('adm') cmds.extend(cmd) if self.all_namespaces: cmds.extend(['--all-namespaces']) elif self.namespace is not None and self.namespace.lower() not in ['none', 'emtpy']: # E501 cmds.extend(['-n', self.namespace]) if self.verbose: print(' '.join(cmds)) try: returncode, stdout, stderr = self._run(cmds, input_data) except OSError as ex: returncode, stdout, stderr = 1, '', 'Failed to execute {}: {}'.format(subprocess.list2cmdline(cmds), ex) rval = {"returncode": returncode, "cmd": ' '.join(cmds)} if output_type == 'json': rval['results'] = {} if output and stdout: try: rval['results'] = json.loads(stdout) except ValueError as verr: if "No JSON object could be decoded" in verr.args: rval['err'] = verr.args elif output_type == 'raw': rval['results'] = stdout if output else '' if self.verbose: print("STDOUT: {0}".format(stdout)) print("STDERR: {0}".format(stderr)) if 'err' in rval or returncode != 0: rval.update({"stderr": stderr, "stdout": stdout}) return rval class Utils(object): # pragma: no cover ''' utilities for openshiftcli modules ''' @staticmethod def _write(filename, contents): ''' Actually write the file contents to disk. This helps with mocking. ''' with open(filename, 'w') as sfd: sfd.write(contents) @staticmethod def create_tmp_file_from_contents(rname, data, ftype='yaml'): ''' create a file in tmp with name and contents''' tmp = Utils.create_tmpfile(prefix=rname) if ftype == 'yaml': # AUDIT:no-member makes sense here due to ruamel.YAML/PyYAML usage # pylint: disable=no-member if hasattr(yaml, 'RoundTripDumper'): Utils._write(tmp, yaml.dump(data, Dumper=yaml.RoundTripDumper)) else: Utils._write(tmp, yaml.safe_dump(data, default_flow_style=False)) elif ftype == 'json': Utils._write(tmp, json.dumps(data)) else: Utils._write(tmp, data) # Register cleanup when module is done atexit.register(Utils.cleanup, [tmp]) return tmp @staticmethod def create_tmpfile_copy(inc_file): '''create a temporary copy of a file''' tmpfile = Utils.create_tmpfile('lib_openshift-') Utils._write(tmpfile, open(inc_file).read()) # Cleanup the tmpfile atexit.register(Utils.cleanup, [tmpfile]) return tmpfile @staticmethod def create_tmpfile(prefix='tmp'): ''' Generates and returns a temporary file name ''' with tempfile.NamedTemporaryFile(prefix=prefix, delete=False) as tmp: return tmp.name @staticmethod def create_tmp_files_from_contents(content, content_type=None): '''Turn an array of dict: filename, content into a files array''' if not isinstance(content, list): content = [content] files = [] for item in content: path = Utils.create_tmp_file_from_contents(item['path'] + '-', item['data'], ftype=content_type) files.append({'name': os.path.basename(item['path']), 'path': path}) return files @staticmethod def cleanup(files): '''Clean up on exit ''' for sfile in files: if os.path.exists(sfile): if os.path.isdir(sfile): shutil.rmtree(sfile) elif os.path.isfile(sfile): os.remove(sfile) @staticmethod def exists(results, _name): ''' Check to see if the results include the name ''' if not results: return False if Utils.find_result(results, _name): return True return False @staticmethod def find_result(results, _name): ''' Find the specified result by name''' rval = None for result in results: if 'metadata' in result and result['metadata']['name'] == _name: rval = result break return rval @staticmethod def get_resource_file(sfile, sfile_type='yaml'): ''' return the service file ''' contents = None with open(sfile) as sfd: contents = sfd.read() if sfile_type == 'yaml': # AUDIT:no-member makes sense here due to ruamel.YAML/PyYAML usage # pylint: disable=no-member if hasattr(yaml, 'RoundTripLoader'): contents = yaml.load(contents, yaml.RoundTripLoader) else: contents = yaml.safe_load(contents) elif sfile_type == 'json': contents = json.loads(contents) return contents @staticmethod def filter_versions(stdout): ''' filter the oc version output ''' version_dict = {} version_search = ['oc', 'openshift', 'kubernetes'] for line in stdout.strip().split('\n'): for term in version_search: if not line: continue if line.startswith(term): version_dict[term] = line.split()[-1] # horrible hack to get openshift version in Openshift 3.2 # By default "oc version in 3.2 does not return an "openshift" version if "openshift" not in version_dict: version_dict["openshift"] = version_dict["oc"] return version_dict @staticmethod def add_custom_versions(versions): ''' create custom versions strings ''' versions_dict = {} for tech, version in versions.items(): # clean up "-" from version if "-" in version: version = version.split("-")[0] if version.startswith('v'): versions_dict[tech + '_numeric'] = version[1:].split('+')[0] # "v3.3.0.33" is what we have, we want "3.3" versions_dict[tech + '_short'] = version[1:4] return versions_dict @staticmethod def openshift_installed(): ''' check if openshift is installed ''' import rpm transaction_set = rpm.TransactionSet() rpmquery = transaction_set.dbMatch("name", "atomic-openshift") return rpmquery.count() > 0 # Disabling too-many-branches. This is a yaml dictionary comparison function # pylint: disable=too-many-branches,too-many-return-statements,too-many-statements @staticmethod def check_def_equal(user_def, result_def, skip_keys=None, debug=False): ''' Given a user defined definition, compare it with the results given back by our query. ''' # Currently these values are autogenerated and we do not need to check them skip = ['metadata', 'status'] if skip_keys: skip.extend(skip_keys) for key, value in result_def.items(): if key in skip: continue # Both are lists if isinstance(value, list): if key not in user_def: if debug: print('User data does not have key [%s]' % key) print('User data: %s' % user_def) return False if not isinstance(user_def[key], list): if debug: print('user_def[key] is not a list key=[%s] user_def[key]=%s' % (key, user_def[key])) return False if len(user_def[key]) != len(value): if debug: print("List lengths are not equal.") print("key=[%s]: user_def[%s] != value[%s]" % (key, len(user_def[key]), len(value))) print("user_def: %s" % user_def[key]) print("value: %s" % value) return False for values in zip(user_def[key], value): if isinstance(values[0], dict) and isinstance(values[1], dict): if debug: print('sending list - list') print(type(values[0])) print(type(values[1])) result = Utils.check_def_equal(values[0], values[1], skip_keys=skip_keys, debug=debug) if not result: print('list compare returned false') return False elif value != user_def[key]: if debug: print('value should be identical') print(user_def[key]) print(value) return False # recurse on a dictionary elif isinstance(value, dict): if key not in user_def: if debug: print("user_def does not have key [%s]" % key) return False if not isinstance(user_def[key], dict): if debug: print("dict returned false: not instance of dict") return False # before passing ensure keys match api_values = set(value.keys()) - set(skip) user_values = set(user_def[key].keys()) - set(skip) if api_values != user_values: if debug: print("keys are not equal in dict") print(user_values) print(api_values) return False result = Utils.check_def_equal(user_def[key], value, skip_keys=skip_keys, debug=debug) if not result: if debug: print("dict returned false") print(result) return False # Verify each key, value pair is the same else: if key not in user_def or value != user_def[key]: if debug: print("value not equal; user_def does not have key") print(key) print(value) if key in user_def: print(user_def[key]) return False if debug: print('returning true') return True class OpenShiftCLIConfig(object): '''Generic Config''' def __init__(self, rname, namespace, kubeconfig, options): self.kubeconfig = kubeconfig self.name = rname self.namespace = namespace self._options = options @property def config_options(self): ''' return config options ''' return self._options def to_option_list(self, ascommalist=''): '''return all options as a string if ascommalist is set to the name of a key, and the value of that key is a dict, format the dict as a list of comma delimited key=value pairs''' return self.stringify(ascommalist) def stringify(self, ascommalist=''): ''' return the options hash as cli params in a string if ascommalist is set to the name of a key, and the value of that key is a dict, format the dict as a list of comma delimited key=value pairs ''' rval = [] for key in sorted(self.config_options.keys()): data = self.config_options[key] if data['include'] \ and (data['value'] or isinstance(data['value'], int)): if key == ascommalist: val = ','.join(['{}={}'.format(kk, vv) for kk, vv in sorted(data['value'].items())]) else: val = data['value'] rval.append('--{}={}'.format(key.replace('_', '-'), val)) return rval # -*- -*- -*- End included fragment: lib/base.py -*- -*- -*- # -*- -*- -*- Begin included fragment: class/oc_image.py -*- -*- -*- # pylint: disable=too-many-arguments class OCImage(OpenShiftCLI): ''' Class to import and create an imagestream object''' def __init__(self, namespace, registry_url, image_name, image_tag, kubeconfig='/etc/origin/master/admin.kubeconfig', verbose=False): ''' Constructor for OCImage''' super(OCImage, self).__init__(namespace, kubeconfig) self.registry_url = registry_url self.image_name = image_name self.image_tag = image_tag self.verbose = verbose def get(self): '''return a image by name ''' results = self._get('imagestream', self.image_name) results['exists'] = False if results['returncode'] == 0 and results['results'][0]: results['exists'] = True if results['returncode'] != 0 and '"{}" not found'.format(self.image_name) in results['stderr']: results['returncode'] = 0 return results def create(self, url=None, name=None, tag=None): '''Create an image ''' return self._import_image(url, name, tag) # pylint: disable=too-many-return-statements @staticmethod def run_ansible(params, check_mode): ''' run the ansible idempotent code ''' ocimage = OCImage(params['namespace'], params['registry_url'], params['image_name'], params['image_tag'], kubeconfig=params['kubeconfig'], verbose=params['debug']) state = params['state'] api_rval = ocimage.get() ##### # Get ##### if state == 'list': if api_rval['returncode'] != 0: return {"failed": True, "msg": api_rval} return {"changed": False, "results": api_rval, "state": "list"} ######## # Create ######## if state == 'present': if not Utils.exists(api_rval['results'], params['image_name']): if check_mode: return {"changed": False, "msg": 'CHECK_MODE: Would have performed a create'} api_rval = ocimage.create(params['registry_url'], params['image_name'], params['image_tag']) if api_rval['returncode'] != 0: return {"failed": True, "msg": api_rval} # return the newly created object api_rval = ocimage.get() if api_rval['returncode'] != 0: return {"failed": True, "msg": api_rval} return {"changed": True, "results": api_rval, "state": "present"} # image exists, no change return {"changed": False, "results": api_rval, "state": "present"} return {"failed": True, "changed": False, "msg": "Unknown state passed. {0}".format(state)} # -*- -*- -*- End included fragment: class/oc_image.py -*- -*- -*- # -*- -*- -*- Begin included fragment: ansible/oc_image.py -*- -*- -*- def main(): ''' ansible oc module for image import ''' module = AnsibleModule( argument_spec=dict( kubeconfig=dict(default='/etc/origin/master/admin.kubeconfig', type='str'), state=dict(default='present', type='str', choices=['present', 'list']), debug=dict(default=False, type='bool'), namespace=dict(default='default', type='str'), registry_url=dict(default=None, type='str'), image_name=dict(default=None, required=True, type='str'), image_tag=dict(default=None, type='str'), force=dict(default=False, type='bool'), ), supports_check_mode=True, ) rval = OCImage.run_ansible(module.params, module.check_mode) if 'failed' in rval: module.fail_json(**rval) module.exit_json(**rval) if __name__ == '__main__': main() # -*- -*- -*- End included fragment: ansible/oc_image.py -*- -*- -*-

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from __future__ import print_function import atexit import copy import json import os import re import shutil import subprocess import tempfile try: import ruamel.yaml as yaml except ImportError: import yaml from ansible.module_utils.basic import AnsibleModule DOCUMENTATION = ''' --- module: oc_image short_description: Create, modify, and idempotently manage openshift labels. description: - Modify openshift labels programmatically. options: state: description: - State controls the action that will be taken with resource - 'present' will create. Does _not_ support update. - 'list' will read the labels default: present choices: ["present", "list"] aliases: [] kubeconfig: description: - The path for the kubeconfig file to use for authentication required: false default: /etc/origin/master/admin.kubeconfig aliases: [] namespace: description: - The namespace where this object lives required: false default: default aliases: [] debug: description: - Turn on debug output. required: false default: False aliases: [] registry_url: description: - The url for the registry so that openshift can pull the image required: false default: None aliases: [] image_name: description: - The name of the image being imported required: false default: False aliases: [] image_tag: description: - The tag of the image being imported required: false default: None aliases: [] author: - "Ivan Horvath<ihorvath@redhat.com>" extends_documentation_fragment: [] ''' EXAMPLES = ''' - name: Get an imagestream oc_image: name: php55 state: list register: imageout - name: create an imagestream oc_image: state: present image_name: php55 image_tag: int registry_url: registry.example.com namespace: default register: imageout ''' class YeditException(Exception): pass class Yedit(object): re_valid_key = r"(((\[-?\d+\])|([0-9a-zA-Z%s/_-]+)).?)+$" re_key = r"(?:\[(-?\d+)\])|([0-9a-zA-Z{}/_-]+)" com_sep = set(['.', '#', '|', ':']) def __init__(self, filename=None, content=None, content_type='yaml', separator='.', backup=False): self.content = content self._separator = separator self.filename = filename self.__yaml_dict = content self.content_type = content_type self.backup = backup self.load(content_type=self.content_type) if self.__yaml_dict is None: self.__yaml_dict = {} @property def separator(self): return self._separator @separator.setter def separator(self, inc_sep): self._separator = inc_sep @property def yaml_dict(self): return self.__yaml_dict @yaml_dict.setter def yaml_dict(self, value): self.__yaml_dict = value @staticmethod def parse_key(key, sep='.'): common_separators = list(Yedit.com_sep - set([sep])) return re.findall(Yedit.re_key.format(''.join(common_separators)), key) @staticmethod def valid_key(key, sep='.'): common_separators = list(Yedit.com_sep - set([sep])) if not re.match(Yedit.re_valid_key.format(''.join(common_separators)), key): return False return True @staticmethod def remove_entry(data, key, sep='.'): if key == '' and isinstance(data, dict): data.clear() return True elif key == '' and isinstance(data, list): del data[:] return True if not (key and Yedit.valid_key(key, sep)) and \ isinstance(data, (list, dict)): return None key_indexes = Yedit.parse_key(key, sep) for arr_ind, dict_key in key_indexes[:-1]: if dict_key and isinstance(data, dict): data = data.get(dict_key) elif (arr_ind and isinstance(data, list) and int(arr_ind) <= len(data) - 1): data = data[int(arr_ind)] else: return None if key_indexes[-1][0]: if isinstance(data, list) and int(key_indexes[-1][0]) <= len(data) - 1: del data[int(key_indexes[-1][0])] return True elif key_indexes[-1][1]: if isinstance(data, dict): del data[key_indexes[-1][1]] return True @staticmethod def add_entry(data, key, item=None, sep='.'): if key == '': pass elif (not (key and Yedit.valid_key(key, sep)) and isinstance(data, (list, dict))): return None key_indexes = Yedit.parse_key(key, sep) for arr_ind, dict_key in key_indexes[:-1]: if dict_key: if isinstance(data, dict) and dict_key in data and data[dict_key]: data = data[dict_key] continue elif data and not isinstance(data, dict): raise YeditException("Unexpected item type found while going through key " + "path: {} (at key: {})".format(key, dict_key)) data[dict_key] = {} data = data[dict_key] elif (arr_ind and isinstance(data, list) and int(arr_ind) <= len(data) - 1): data = data[int(arr_ind)] else: raise YeditException("Unexpected item type found while going through key path: {}".format(key)) if key == '': data = item elif key_indexes[-1][0] and isinstance(data, list) and int(key_indexes[-1][0]) <= len(data) - 1: data[int(key_indexes[-1][0])] = item elif key_indexes[-1][1] and isinstance(data, dict): data[key_indexes[-1][1]] = item # so we must have been provided some syntax like a.b.c[<int>] = "data" for a # non-existent array else: raise YeditException("Error adding to object at path: {}".format(key)) return data @staticmethod def get_entry(data, key, sep='.'): if key == '': pass elif (not (key and Yedit.valid_key(key, sep)) and isinstance(data, (list, dict))): return None key_indexes = Yedit.parse_key(key, sep) for arr_ind, dict_key in key_indexes: if dict_key and isinstance(data, dict): data = data.get(dict_key) elif (arr_ind and isinstance(data, list) and int(arr_ind) <= len(data) - 1): data = data[int(arr_ind)] else: return None return data @staticmethod def _write(filename, contents): tmp_filename = filename + '.yedit' with open(tmp_filename, 'w') as yfd: yfd.write(contents) os.rename(tmp_filename, filename) def write(self): if not self.filename: raise YeditException('Please specify a filename.') if self.backup and self.file_exists(): shutil.copy(self.filename, self.filename + '.orig') # Try to set format attributes if supported try: self.yaml_dict.fa.set_block_style() except AttributeError: pass # Try to use RoundTripDumper if supported. try: Yedit._write(self.filename, yaml.dump(self.yaml_dict, Dumper=yaml.RoundTripDumper)) except AttributeError: Yedit._write(self.filename, yaml.safe_dump(self.yaml_dict, default_flow_style=False)) return (True, self.yaml_dict) def read(self): # check if it exists if self.filename is None or not self.file_exists(): return None contents = None with open(self.filename) as yfd: contents = yfd.read() return contents def file_exists(self): if os.path.exists(self.filename): return True return False def load(self, content_type='yaml'): contents = self.read() if not contents and not self.content: return None if self.content: if isinstance(self.content, dict): self.yaml_dict = self.content return self.yaml_dict elif isinstance(self.content, str): contents = self.content # check if it is yaml try: if content_type == 'yaml' and contents: # Try to set format attributes if supported try: self.yaml_dict.fa.set_block_style() except AttributeError: pass # Try to use RoundTripLoader if supported. try: self.yaml_dict = yaml.safe_load(contents, yaml.RoundTripLoader) except AttributeError: self.yaml_dict = yaml.safe_load(contents) # Try to set format attributes if supported try: self.yaml_dict.fa.set_block_style() except AttributeError: pass elif content_type == 'json' and contents: self.yaml_dict = json.loads(contents) except yaml.YAMLError as err: # Error loading yaml or json raise YeditException('Problem with loading yaml file. {}'.format(err)) return self.yaml_dict def get(self, key): try: entry = Yedit.get_entry(self.yaml_dict, key, self.separator) except KeyError: entry = None return entry def pop(self, path, key_or_item): try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if entry is None: return (False, self.yaml_dict) if isinstance(entry, dict): # AUDIT:maybe-no-member makes sense due to fuzzy types # pylint: disable=maybe-no-member if key_or_item in entry: entry.pop(key_or_item) return (True, self.yaml_dict) return (False, self.yaml_dict) elif isinstance(entry, list): # AUDIT:maybe-no-member makes sense due to fuzzy types # pylint: disable=maybe-no-member ind = None try: ind = entry.index(key_or_item) except ValueError: return (False, self.yaml_dict) entry.pop(ind) return (True, self.yaml_dict) return (False, self.yaml_dict) def delete(self, path): try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if entry is None: return (False, self.yaml_dict) result = Yedit.remove_entry(self.yaml_dict, path, self.separator) if not result: return (False, self.yaml_dict) return (True, self.yaml_dict) def exists(self, path, value): try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if isinstance(entry, list): if value in entry: return True return False elif isinstance(entry, dict): if isinstance(value, dict): rval = False for key, val in value.items(): if entry[key] != val: rval = False break else: rval = True return rval return value in entry return entry == value def append(self, path, value): try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if entry is None: self.put(path, []) entry = Yedit.get_entry(self.yaml_dict, path, self.separator) if not isinstance(entry, list): return (False, self.yaml_dict) # AUDIT:maybe-no-member makes sense due to loading data from # a serialized format. # pylint: disable=maybe-no-member entry.append(value) return (True, self.yaml_dict) # pylint: disable=too-many-arguments def update(self, path, value, index=None, curr_value=None): try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if isinstance(entry, dict): # AUDIT:maybe-no-member makes sense due to fuzzy types # pylint: disable=maybe-no-member if not isinstance(value, dict): raise YeditException('Cannot replace key, value entry in dict with non-dict type. ' + 'value=[{}] type=[{}]'.format(value, type(value))) entry.update(value) return (True, self.yaml_dict) elif isinstance(entry, list): # AUDIT:maybe-no-member makes sense due to fuzzy types # pylint: disable=maybe-no-member ind = None if curr_value: try: ind = entry.index(curr_value) except ValueError: return (False, self.yaml_dict) elif index is not None: ind = index if ind is not None and entry[ind] != value: entry[ind] = value return (True, self.yaml_dict) # see if it exists in the list try: ind = entry.index(value) except ValueError: # doesn't exist, append it entry.append(value) return (True, self.yaml_dict) if ind is not None: return (False, self.yaml_dict) return (False, self.yaml_dict) def put(self, path, value): try: entry = Yedit.get_entry(self.yaml_dict, path, self.separator) except KeyError: entry = None if entry == value: return (False, self.yaml_dict) # Try to use ruamel.yaml and fallback to pyyaml try: tmp_copy = yaml.load(yaml.round_trip_dump(self.yaml_dict, default_flow_style=False), yaml.RoundTripLoader) except AttributeError: tmp_copy = copy.deepcopy(self.yaml_dict) # set the format attributes if available try: tmp_copy.fa.set_block_style() except AttributeError: pass result = Yedit.add_entry(tmp_copy, path, value, self.separator) if result is None: return (False, self.yaml_dict) # When path equals "" it is a special case. # "" refers to the root of the document # Only update the root path (entire document) when its a list or dict if path == '': if isinstance(result, list) or isinstance(result, dict): self.yaml_dict = result return (True, self.yaml_dict) return (False, self.yaml_dict) self.yaml_dict = tmp_copy return (True, self.yaml_dict) def create(self, path, value): if not self.file_exists(): # deepcopy didn't work try: tmp_copy = yaml.load(yaml.round_trip_dump(self.yaml_dict, default_flow_style=False), yaml.RoundTripLoader) except AttributeError: tmp_copy = copy.deepcopy(self.yaml_dict) try: tmp_copy.fa.set_block_style() except AttributeError: pass result = Yedit.add_entry(tmp_copy, path, value, self.separator) if result is not None: self.yaml_dict = tmp_copy return (True, self.yaml_dict) return (False, self.yaml_dict) @staticmethod def get_curr_value(invalue, val_type): if invalue is None: return None curr_value = invalue if val_type == 'yaml': curr_value = yaml.load(invalue) elif val_type == 'json': curr_value = json.loads(invalue) return curr_value @staticmethod def parse_value(inc_value, vtype=''): true_bools = ['y', 'Y', 'yes', 'Yes', 'YES', 'true', 'True', 'TRUE', 'on', 'On', 'ON', ] false_bools = ['n', 'N', 'no', 'No', 'NO', 'false', 'False', 'FALSE', 'off', 'Off', 'OFF'] # we will convert to bool if it matches any of the above cases if isinstance(inc_value, str) and 'bool' in vtype: if inc_value not in true_bools and inc_value not in false_bools: raise YeditException('Not a boolean type. str=[{}] vtype=[{}]'.format(inc_value, vtype)) elif isinstance(inc_value, bool) and 'str' in vtype: inc_value = str(inc_value) # There is a special case where '' will turn into None after yaml loading it so skip if isinstance(inc_value, str) and inc_value == '': pass # If vtype is not str then go ahead and attempt to yaml load it. elif isinstance(inc_value, str) and 'str' not in vtype: try: inc_value = yaml.safe_load(inc_value) except Exception: raise YeditException('Could not determine type of incoming value. ' + 'value=[{}] vtype=[{}]'.format(type(inc_value), vtype)) return inc_value @staticmethod def process_edits(edits, yamlfile): results = [] for edit in edits: value = Yedit.parse_value(edit['value'], edit.get('value_type', '')) if edit.get('action') == 'update': # pylint: disable=line-too-long curr_value = Yedit.get_curr_value( Yedit.parse_value(edit.get('curr_value')), edit.get('curr_value_format')) rval = yamlfile.update(edit['key'], value, edit.get('index'), curr_value) elif edit.get('action') == 'append': rval = yamlfile.append(edit['key'], value) else: rval = yamlfile.put(edit['key'], value) if rval[0]: results.append({'key': edit['key'], 'edit': rval[1]}) return {'changed': len(results) > 0, 'results': results} # pylint: disable=too-many-return-statements,too-many-branches @staticmethod def run_ansible(params): yamlfile = Yedit(filename=params['src'], backup=params['backup'], separator=params['separator']) state = params['state'] if params['src']: rval = yamlfile.load() if yamlfile.yaml_dict is None and state != 'present': return {'failed': True, 'msg': 'Error opening file [{}]. Verify that the '.format(params['src']) + 'file exists, that it is has correct permissions, and is valid yaml.'} if state == 'list': if params['content']: content = Yedit.parse_value(params['content'], params['content_type']) yamlfile.yaml_dict = content if params['key']: rval = yamlfile.get(params['key']) or {} return {'changed': False, 'result': rval, 'state': state} elif state == 'absent': if params['content']: content = Yedit.parse_value(params['content'], params['content_type']) yamlfile.yaml_dict = content if params['update']: rval = yamlfile.pop(params['key'], params['value']) else: rval = yamlfile.delete(params['key']) if rval[0] and params['src']: yamlfile.write() return {'changed': rval[0], 'result': rval[1], 'state': state} elif state == 'present': # check if content is different than what is in the file if params['content']: content = Yedit.parse_value(params['content'], params['content_type']) # We had no edits to make and the contents are the same if yamlfile.yaml_dict == content and \ params['value'] is None: return {'changed': False, 'result': yamlfile.yaml_dict, 'state': state} yamlfile.yaml_dict = content # If we were passed a key, value then # we enapsulate it in a list and process it # Key, Value passed to the module : Converted to Edits list # edits = [] _edit = {} if params['value'] is not None: _edit['value'] = params['value'] _edit['value_type'] = params['value_type'] _edit['key'] = params['key'] if params['update']: _edit['action'] = 'update' _edit['curr_value'] = params['curr_value'] _edit['curr_value_format'] = params['curr_value_format'] _edit['index'] = params['index'] elif params['append']: _edit['action'] = 'append' edits.append(_edit) elif params['edits'] is not None: edits = params['edits'] if edits: results = Yedit.process_edits(edits, yamlfile) # if there were changes and a src provided to us we need to write if results['changed'] and params['src']: yamlfile.write() return {'changed': results['changed'], 'result': results['results'], 'state': state} # no edits to make if params['src']: # pylint: disable=redefined-variable-type rval = yamlfile.write() return {'changed': rval[0], 'result': rval[1], 'state': state} # We were passed content but no src, key or value, or edits. Return contents in memory return {'changed': False, 'result': yamlfile.yaml_dict, 'state': state} return {'failed': True, 'msg': 'Unkown state passed'} # -*- -*- -*- End included fragment: ../../lib_utils/src/class/yedit.py -*- -*- -*- # -*- -*- -*- Begin included fragment: lib/base.py -*- -*- -*- # pylint: disable=too-many-lines # noqa: E301,E302,E303,T001 class OpenShiftCLIError(Exception): pass ADDITIONAL_PATH_LOOKUPS = ['/usr/local/bin', os.path.expanduser('~/bin')] def locate_oc_binary(): # https://github.com/openshift/openshift-ansible/issues/3410 # oc can be in /usr/local/bin in some cases, but that may not # be in $PATH due to ansible/sudo paths = os.environ.get("PATH", os.defpath).split(os.pathsep) + ADDITIONAL_PATH_LOOKUPS oc_binary = 'oc' # Use shutil.which if it is available, otherwise fallback to a naive path search try: which_result = shutil.which(oc_binary, path=os.pathsep.join(paths)) if which_result is not None: oc_binary = which_result except AttributeError: for path in paths: if os.path.exists(os.path.join(path, oc_binary)): oc_binary = os.path.join(path, oc_binary) break return oc_binary # pylint: disable=too-few-public-methods class OpenShiftCLI(object): def __init__(self, namespace, kubeconfig='/etc/origin/master/admin.kubeconfig', verbose=False, all_namespaces=False): self.namespace = namespace self.verbose = verbose self.kubeconfig = Utils.create_tmpfile_copy(kubeconfig) self.all_namespaces = all_namespaces self.oc_binary = locate_oc_binary() # Pylint allows only 5 arguments to be passed. # pylint: disable=too-many-arguments def _replace_content(self, resource, rname, content, force=False, sep='.'): res = self._get(resource, rname) if not res['results']: return res fname = Utils.create_tmpfile(rname + '-') yed = Yedit(fname, res['results'][0], separator=sep) changes = [] for key, value in content.items(): changes.append(yed.put(key, value)) if any([change[0] for change in changes]): yed.write() atexit.register(Utils.cleanup, [fname]) return self._replace(fname, force) return {'returncode': 0, 'updated': False} def _replace(self, fname, force=False): # We are removing the 'resourceVersion' to handle # a race condition when modifying oc objects yed = Yedit(fname) results = yed.delete('metadata.resourceVersion') if results[0]: yed.write() cmd = ['replace', '-f', fname] if force: cmd.append('--force') return self.openshift_cmd(cmd) def _create_from_content(self, rname, content): fname = Utils.create_tmpfile(rname + '-') yed = Yedit(fname, content=content) yed.write() atexit.register(Utils.cleanup, [fname]) return self._create(fname) def _create(self, fname): return self.openshift_cmd(['create', '-f', fname]) def _delete(self, resource, name=None, selector=None): cmd = ['delete', resource] if selector is not None: cmd.append('--selector={}'.format(selector)) elif name is not None: cmd.append(name) else: raise OpenShiftCLIError('Either name or selector is required when calling delete.') return self.openshift_cmd(cmd) def _process(self, template_name, create=False, params=None, template_data=None): # noqa: E501 cmd = ['process'] if template_data: cmd.extend(['-f', '-']) else: cmd.append(template_name) if params: param_str = ["{}={}".format(key, str(value).replace("'", r'"')) for key, value in params.items()] cmd.append('-v') cmd.extend(param_str) results = self.openshift_cmd(cmd, output=True, input_data=template_data) if results['returncode'] != 0 or not create: return results fname = Utils.create_tmpfile(template_name + '-') yed = Yedit(fname, results['results']) yed.write() atexit.register(Utils.cleanup, [fname]) return self.openshift_cmd(['create', '-f', fname]) def _get(self, resource, name=None, selector=None): cmd = ['get', resource] if selector is not None: cmd.append('--selector={}'.format(selector)) elif name is not None: cmd.append(name) cmd.extend(['-o', 'json']) rval = self.openshift_cmd(cmd, output=True) # Ensure results are retuned in an array if 'items' in rval: rval['results'] = rval['items'] elif not isinstance(rval['results'], list): rval['results'] = [rval['results']] return rval def _schedulable(self, node=None, selector=None, schedulable=True): cmd = ['manage-node'] if node: cmd.extend(node) else: cmd.append('--selector={}'.format(selector)) cmd.append('--schedulable={}'.format(schedulable)) return self.openshift_cmd(cmd, oadm=True, output=True, output_type='raw') # noqa: E501 def _list_pods(self, node=None, selector=None, pod_selector=None): cmd = ['manage-node'] if node: cmd.extend(node) else: cmd.append('--selector={}'.format(selector)) if pod_selector: cmd.append('--pod-selector={}'.format(pod_selector)) cmd.extend(['--list-pods', '-o', 'json']) return self.openshift_cmd(cmd, oadm=True, output=True, output_type='raw') # pylint: disable=too-many-arguments def _evacuate(self, node=None, selector=None, pod_selector=None, dry_run=False, grace_period=None, force=False): cmd = ['manage-node'] if node: cmd.extend(node) else: cmd.append('--selector={}'.format(selector)) if dry_run: cmd.append('--dry-run') if pod_selector: cmd.append('--pod-selector={}'.format(pod_selector)) if grace_period: cmd.append('--grace-period={}'.format(int(grace_period))) if force: cmd.append('--force') cmd.append('--evacuate') return self.openshift_cmd(cmd, oadm=True, output=True, output_type='raw') def _version(self): return self.openshift_cmd(['version'], output=True, output_type='raw') def _import_image(self, url=None, name=None, tag=None): cmd = ['import-image'] image = '{0}'.format(name) if tag: image += ':{0}'.format(tag) cmd.append(image) if url: cmd.append('--from={0}/{1}'.format(url, image)) cmd.append('-n{0}'.format(self.namespace)) cmd.append('--confirm') return self.openshift_cmd(cmd) def _run(self, cmds, input_data): curr_env = os.environ.copy() curr_env.update({'KUBECONFIG': self.kubeconfig}) proc = subprocess.Popen(cmds, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, env=curr_env) stdout, stderr = proc.communicate(input_data) return proc.returncode, stdout.decode('utf-8'), stderr.decode('utf-8') # pylint: disable=too-many-arguments,too-many-branches def openshift_cmd(self, cmd, oadm=False, output=False, output_type='json', input_data=None): cmds = [self.oc_binary] if oadm: cmds.append('adm') cmds.extend(cmd) if self.all_namespaces: cmds.extend(['--all-namespaces']) elif self.namespace is not None and self.namespace.lower() not in ['none', 'emtpy']: # E501 cmds.extend(['-n', self.namespace]) if self.verbose: print(' '.join(cmds)) try: returncode, stdout, stderr = self._run(cmds, input_data) except OSError as ex: returncode, stdout, stderr = 1, '', 'Failed to execute {}: {}'.format(subprocess.list2cmdline(cmds), ex) rval = {"returncode": returncode, "cmd": ' '.join(cmds)} if output_type == 'json': rval['results'] = {} if output and stdout: try: rval['results'] = json.loads(stdout) except ValueError as verr: if "No JSON object could be decoded" in verr.args: rval['err'] = verr.args elif output_type == 'raw': rval['results'] = stdout if output else '' if self.verbose: print("STDOUT: {0}".format(stdout)) print("STDERR: {0}".format(stderr)) if 'err' in rval or returncode != 0: rval.update({"stderr": stderr, "stdout": stdout}) return rval class Utils(object): # pragma: no cover @staticmethod def _write(filename, contents): with open(filename, 'w') as sfd: sfd.write(contents) @staticmethod def create_tmp_file_from_contents(rname, data, ftype='yaml'): tmp = Utils.create_tmpfile(prefix=rname) if ftype == 'yaml': # AUDIT:no-member makes sense here due to ruamel.YAML/PyYAML usage # pylint: disable=no-member if hasattr(yaml, 'RoundTripDumper'): Utils._write(tmp, yaml.dump(data, Dumper=yaml.RoundTripDumper)) else: Utils._write(tmp, yaml.safe_dump(data, default_flow_style=False)) elif ftype == 'json': Utils._write(tmp, json.dumps(data)) else: Utils._write(tmp, data) # Register cleanup when module is done atexit.register(Utils.cleanup, [tmp]) return tmp @staticmethod def create_tmpfile_copy(inc_file): tmpfile = Utils.create_tmpfile('lib_openshift-') Utils._write(tmpfile, open(inc_file).read()) # Cleanup the tmpfile atexit.register(Utils.cleanup, [tmpfile]) return tmpfile @staticmethod def create_tmpfile(prefix='tmp'): with tempfile.NamedTemporaryFile(prefix=prefix, delete=False) as tmp: return tmp.name @staticmethod def create_tmp_files_from_contents(content, content_type=None): if not isinstance(content, list): content = [content] files = [] for item in content: path = Utils.create_tmp_file_from_contents(item['path'] + '-', item['data'], ftype=content_type) files.append({'name': os.path.basename(item['path']), 'path': path}) return files @staticmethod def cleanup(files): for sfile in files: if os.path.exists(sfile): if os.path.isdir(sfile): shutil.rmtree(sfile) elif os.path.isfile(sfile): os.remove(sfile) @staticmethod def exists(results, _name): if not results: return False if Utils.find_result(results, _name): return True return False @staticmethod def find_result(results, _name): rval = None for result in results: if 'metadata' in result and result['metadata']['name'] == _name: rval = result break return rval @staticmethod def get_resource_file(sfile, sfile_type='yaml'): contents = None with open(sfile) as sfd: contents = sfd.read() if sfile_type == 'yaml': # AUDIT:no-member makes sense here due to ruamel.YAML/PyYAML usage # pylint: disable=no-member if hasattr(yaml, 'RoundTripLoader'): contents = yaml.load(contents, yaml.RoundTripLoader) else: contents = yaml.safe_load(contents) elif sfile_type == 'json': contents = json.loads(contents) return contents @staticmethod def filter_versions(stdout): version_dict = {} version_search = ['oc', 'openshift', 'kubernetes'] for line in stdout.strip().split('\n'): for term in version_search: if not line: continue if line.startswith(term): version_dict[term] = line.split()[-1] # horrible hack to get openshift version in Openshift 3.2 # By default "oc version in 3.2 does not return an "openshift" version if "openshift" not in version_dict: version_dict["openshift"] = version_dict["oc"] return version_dict @staticmethod def add_custom_versions(versions): versions_dict = {} for tech, version in versions.items(): if "-" in version: version = version.split("-")[0] if version.startswith('v'): versions_dict[tech + '_numeric'] = version[1:].split('+')[0] versions_dict[tech + '_short'] = version[1:4] return versions_dict @staticmethod def openshift_installed(): import rpm transaction_set = rpm.TransactionSet() rpmquery = transaction_set.dbMatch("name", "atomic-openshift") return rpmquery.count() > 0 @staticmethod def check_def_equal(user_def, result_def, skip_keys=None, debug=False): skip = ['metadata', 'status'] if skip_keys: skip.extend(skip_keys) for key, value in result_def.items(): if key in skip: continue if isinstance(value, list): if key not in user_def: if debug: print('User data does not have key [%s]' % key) print('User data: %s' % user_def) return False if not isinstance(user_def[key], list): if debug: print('user_def[key] is not a list key=[%s] user_def[key]=%s' % (key, user_def[key])) return False if len(user_def[key]) != len(value): if debug: print("List lengths are not equal.") print("key=[%s]: user_def[%s] != value[%s]" % (key, len(user_def[key]), len(value))) print("user_def: %s" % user_def[key]) print("value: %s" % value) return False for values in zip(user_def[key], value): if isinstance(values[0], dict) and isinstance(values[1], dict): if debug: print('sending list - list') print(type(values[0])) print(type(values[1])) result = Utils.check_def_equal(values[0], values[1], skip_keys=skip_keys, debug=debug) if not result: print('list compare returned false') return False elif value != user_def[key]: if debug: print('value should be identical') print(user_def[key]) print(value) return False elif isinstance(value, dict): if key not in user_def: if debug: print("user_def does not have key [%s]" % key) return False if not isinstance(user_def[key], dict): if debug: print("dict returned false: not instance of dict") return False api_values = set(value.keys()) - set(skip) user_values = set(user_def[key].keys()) - set(skip) if api_values != user_values: if debug: print("keys are not equal in dict") print(user_values) print(api_values) return False result = Utils.check_def_equal(user_def[key], value, skip_keys=skip_keys, debug=debug) if not result: if debug: print("dict returned false") print(result) return False else: if key not in user_def or value != user_def[key]: if debug: print("value not equal; user_def does not have key") print(key) print(value) if key in user_def: print(user_def[key]) return False if debug: print('returning true') return True class OpenShiftCLIConfig(object): def __init__(self, rname, namespace, kubeconfig, options): self.kubeconfig = kubeconfig self.name = rname self.namespace = namespace self._options = options @property def config_options(self): return self._options def to_option_list(self, ascommalist=''): return self.stringify(ascommalist) def stringify(self, ascommalist=''): rval = [] for key in sorted(self.config_options.keys()): data = self.config_options[key] if data['include'] \ and (data['value'] or isinstance(data['value'], int)): if key == ascommalist: val = ','.join(['{}={}'.format(kk, vv) for kk, vv in sorted(data['value'].items())]) else: val = data['value'] rval.append('--{}={}'.format(key.replace('_', '-'), val)) return rval class OCImage(OpenShiftCLI): def __init__(self, namespace, registry_url, image_name, image_tag, kubeconfig='/etc/origin/master/admin.kubeconfig', verbose=False): super(OCImage, self).__init__(namespace, kubeconfig) self.registry_url = registry_url self.image_name = image_name self.image_tag = image_tag self.verbose = verbose def get(self): results = self._get('imagestream', self.image_name) results['exists'] = False if results['returncode'] == 0 and results['results'][0]: results['exists'] = True if results['returncode'] != 0 and '"{}" not found'.format(self.image_name) in results['stderr']: results['returncode'] = 0 return results def create(self, url=None, name=None, tag=None): return self._import_image(url, name, tag) @staticmethod def run_ansible(params, check_mode): ocimage = OCImage(params['namespace'], params['registry_url'], params['image_name'], params['image_tag'], kubeconfig=params['kubeconfig'], verbose=params['debug']) state = params['state'] api_rval = ocimage.get() f state == 'list': if api_rval['returncode'] != 0: return {"failed": True, "msg": api_rval} return {"changed": False, "results": api_rval, "state": "list"} if not Utils.exists(api_rval['results'], params['image_name']): if check_mode: return {"changed": False, "msg": 'CHECK_MODE: Would have performed a create'} api_rval = ocimage.create(params['registry_url'], params['image_name'], params['image_tag']) if api_rval['returncode'] != 0: return {"failed": True, "msg": api_rval} api_rval = ocimage.get() if api_rval['returncode'] != 0: return {"failed": True, "msg": api_rval} return {"changed": True, "results": api_rval, "state": "present"} return {"changed": False, "results": api_rval, "state": "present"} return {"failed": True, "changed": False, "msg": "Unknown state passed. {0}".format(state)} def main(): module = AnsibleModule( argument_spec=dict( kubeconfig=dict(default='/etc/origin/master/admin.kubeconfig', type='str'), state=dict(default='present', type='str', choices=['present', 'list']), debug=dict(default=False, type='bool'), namespace=dict(default='default', type='str'), registry_url=dict(default=None, type='str'), image_name=dict(default=None, required=True, type='str'), image_tag=dict(default=None, type='str'), force=dict(default=False, type='bool'), ), supports_check_mode=True, ) rval = OCImage.run_ansible(module.params, module.check_mode) if 'failed' in rval: module.fail_json(**rval) module.exit_json(**rval) if __name__ == '__main__': main()

true

f7fc28c85b85728658c0fc19156d05bfa34dbb88

6,222

py

Python

examples/mujoco/mujoco_reinforce.py

ultmaster/tianshou

3ac67d9974b6bd3e3d7feac7738ca6de33b317c7

[ "MIT" ]

null

examples/mujoco/mujoco_reinforce.py

ultmaster/tianshou

3ac67d9974b6bd3e3d7feac7738ca6de33b317c7

[ "MIT" ]

null

examples/mujoco/mujoco_reinforce.py

ultmaster/tianshou

3ac67d9974b6bd3e3d7feac7738ca6de33b317c7

[ "MIT" ]

null

#!/usr/bin/env python3 import os import gym import torch import datetime import argparse import numpy as np from torch import nn from torch.optim.lr_scheduler import LambdaLR from torch.utils.tensorboard import SummaryWriter from torch.distributions import Independent, Normal from tianshou.policy import PGPolicy from tianshou.utils import BasicLogger from tianshou.env import SubprocVectorEnv from tianshou.utils.net.common import Net from tianshou.trainer import onpolicy_trainer from tianshou.utils.net.continuous import ActorProb from tianshou.data import Collector, ReplayBuffer, VectorReplayBuffer def get_args(): parser = argparse.ArgumentParser() parser.add_argument('--task', type=str, default='HalfCheetah-v3') parser.add_argument('--seed', type=int, default=0) parser.add_argument('--buffer-size', type=int, default=4096) parser.add_argument('--hidden-sizes', type=int, nargs='*', default=[64, 64]) parser.add_argument('--lr', type=float, default=1e-3) parser.add_argument('--gamma', type=float, default=0.99) parser.add_argument('--epoch', type=int, default=100) parser.add_argument('--step-per-epoch', type=int, default=30000) parser.add_argument('--step-per-collect', type=int, default=2048) parser.add_argument('--repeat-per-collect', type=int, default=1) # batch-size >> step-per-collect means caculating all data in one singe forward. parser.add_argument('--batch-size', type=int, default=99999) parser.add_argument('--training-num', type=int, default=64) parser.add_argument('--test-num', type=int, default=10) parser.add_argument('--logdir', type=str, default='log') parser.add_argument('--render', type=float, default=0.) parser.add_argument( '--device', type=str, default='cuda' if torch.cuda.is_available() else 'cpu') parser.add_argument('--resume-path', type=str, default=None) # reinforce special parser.add_argument('--rew-norm', type=int, default=True) # "clip" option also works well. parser.add_argument('--action-bound-method', type=str, default="tanh") parser.add_argument('--lr-decay', type=int, default=True) return parser.parse_args() def test_reinforce(args=get_args()): env = gym.make(args.task) args.state_shape = env.observation_space.shape or env.observation_space.n args.action_shape = env.action_space.shape or env.action_space.n args.max_action = env.action_space.high[0] print("Observations shape:", args.state_shape) print("Actions shape:", args.action_shape) print("Action range:", np.min(env.action_space.low), np.max(env.action_space.high)) # train_envs = gym.make(args.task) train_envs = SubprocVectorEnv( [lambda: gym.make(args.task) for _ in range(args.training_num)], norm_obs=True) # test_envs = gym.make(args.task) test_envs = SubprocVectorEnv( [lambda: gym.make(args.task) for _ in range(args.test_num)], norm_obs=True, obs_rms=train_envs.obs_rms, update_obs_rms=False) # seed np.random.seed(args.seed) torch.manual_seed(args.seed) train_envs.seed(args.seed) test_envs.seed(args.seed) # model net_a = Net(args.state_shape, hidden_sizes=args.hidden_sizes, activation=nn.Tanh, device=args.device) actor = ActorProb(net_a, args.action_shape, max_action=args.max_action, unbounded=True, device=args.device).to(args.device) torch.nn.init.constant_(actor.sigma_param, -0.5) for m in actor.modules(): if isinstance(m, torch.nn.Linear): # orthogonal initialization torch.nn.init.orthogonal_(m.weight, gain=np.sqrt(2)) torch.nn.init.zeros_(m.bias) # do last policy layer scaling, this will make initial actions have (close to) # 0 mean and std, and will help boost performances, # see https://arxiv.org/abs/2006.05990, Fig.24 for details for m in actor.mu.modules(): if isinstance(m, torch.nn.Linear): torch.nn.init.zeros_(m.bias) m.weight.data.copy_(0.01 * m.weight.data) optim = torch.optim.Adam(actor.parameters(), lr=args.lr) lr_scheduler = None if args.lr_decay: # decay learning rate to 0 linearly max_update_num = np.ceil( args.step_per_epoch / args.step_per_collect) * args.epoch lr_scheduler = LambdaLR( optim, lr_lambda=lambda epoch: 1 - epoch / max_update_num) def dist(*logits): return Independent(Normal(*logits), 1) policy = PGPolicy(actor, optim, dist, discount_factor=args.gamma, reward_normalization=args.rew_norm, action_scaling=True, action_bound_method=args.action_bound_method, lr_scheduler=lr_scheduler, action_space=env.action_space) # collector if args.training_num > 1: buffer = VectorReplayBuffer(args.buffer_size, len(train_envs)) else: buffer = ReplayBuffer(args.buffer_size) train_collector = Collector(policy, train_envs, buffer, exploration_noise=True) test_collector = Collector(policy, test_envs) # log t0 = datetime.datetime.now().strftime("%m%d_%H%M%S") log_file = f'seed_{args.seed}_{t0}-{args.task.replace("-", "_")}_reinforce' log_path = os.path.join(args.logdir, args.task, 'reinforce', log_file) writer = SummaryWriter(log_path) writer.add_text("args", str(args)) logger = BasicLogger(writer, update_interval=10) def save_fn(policy): torch.save(policy.state_dict(), os.path.join(log_path, 'policy.pth')) # trainer result = onpolicy_trainer( policy, train_collector, test_collector, args.epoch, args.step_per_epoch, args.repeat_per_collect, args.test_num, args.batch_size, step_per_collect=args.step_per_collect, save_fn=save_fn, logger=logger, test_in_train=False) # Let's watch its performance! policy.eval() test_envs.seed(args.seed) test_collector.reset() result = test_collector.collect(n_episode=args.test_num, render=args.render) print(f'Final reward: {result["rews"].mean()}, length: {result["lens"].mean()}') if __name__ == '__main__': test_reinforce()

42.040541

84

0.693507

import os import gym import torch import datetime import argparse import numpy as np from torch import nn from torch.optim.lr_scheduler import LambdaLR from torch.utils.tensorboard import SummaryWriter from torch.distributions import Independent, Normal from tianshou.policy import PGPolicy from tianshou.utils import BasicLogger from tianshou.env import SubprocVectorEnv from tianshou.utils.net.common import Net from tianshou.trainer import onpolicy_trainer from tianshou.utils.net.continuous import ActorProb from tianshou.data import Collector, ReplayBuffer, VectorReplayBuffer def get_args(): parser = argparse.ArgumentParser() parser.add_argument('--task', type=str, default='HalfCheetah-v3') parser.add_argument('--seed', type=int, default=0) parser.add_argument('--buffer-size', type=int, default=4096) parser.add_argument('--hidden-sizes', type=int, nargs='*', default=[64, 64]) parser.add_argument('--lr', type=float, default=1e-3) parser.add_argument('--gamma', type=float, default=0.99) parser.add_argument('--epoch', type=int, default=100) parser.add_argument('--step-per-epoch', type=int, default=30000) parser.add_argument('--step-per-collect', type=int, default=2048) parser.add_argument('--repeat-per-collect', type=int, default=1) parser.add_argument('--batch-size', type=int, default=99999) parser.add_argument('--training-num', type=int, default=64) parser.add_argument('--test-num', type=int, default=10) parser.add_argument('--logdir', type=str, default='log') parser.add_argument('--render', type=float, default=0.) parser.add_argument( '--device', type=str, default='cuda' if torch.cuda.is_available() else 'cpu') parser.add_argument('--resume-path', type=str, default=None) parser.add_argument('--rew-norm', type=int, default=True) parser.add_argument('--action-bound-method', type=str, default="tanh") parser.add_argument('--lr-decay', type=int, default=True) return parser.parse_args() def test_reinforce(args=get_args()): env = gym.make(args.task) args.state_shape = env.observation_space.shape or env.observation_space.n args.action_shape = env.action_space.shape or env.action_space.n args.max_action = env.action_space.high[0] print("Observations shape:", args.state_shape) print("Actions shape:", args.action_shape) print("Action range:", np.min(env.action_space.low), np.max(env.action_space.high)) train_envs = SubprocVectorEnv( [lambda: gym.make(args.task) for _ in range(args.training_num)], norm_obs=True) test_envs = SubprocVectorEnv( [lambda: gym.make(args.task) for _ in range(args.test_num)], norm_obs=True, obs_rms=train_envs.obs_rms, update_obs_rms=False) np.random.seed(args.seed) torch.manual_seed(args.seed) train_envs.seed(args.seed) test_envs.seed(args.seed) net_a = Net(args.state_shape, hidden_sizes=args.hidden_sizes, activation=nn.Tanh, device=args.device) actor = ActorProb(net_a, args.action_shape, max_action=args.max_action, unbounded=True, device=args.device).to(args.device) torch.nn.init.constant_(actor.sigma_param, -0.5) for m in actor.modules(): if isinstance(m, torch.nn.Linear): torch.nn.init.orthogonal_(m.weight, gain=np.sqrt(2)) torch.nn.init.zeros_(m.bias) for m in actor.mu.modules(): if isinstance(m, torch.nn.Linear): torch.nn.init.zeros_(m.bias) m.weight.data.copy_(0.01 * m.weight.data) optim = torch.optim.Adam(actor.parameters(), lr=args.lr) lr_scheduler = None if args.lr_decay: max_update_num = np.ceil( args.step_per_epoch / args.step_per_collect) * args.epoch lr_scheduler = LambdaLR( optim, lr_lambda=lambda epoch: 1 - epoch / max_update_num) def dist(*logits): return Independent(Normal(*logits), 1) policy = PGPolicy(actor, optim, dist, discount_factor=args.gamma, reward_normalization=args.rew_norm, action_scaling=True, action_bound_method=args.action_bound_method, lr_scheduler=lr_scheduler, action_space=env.action_space) if args.training_num > 1: buffer = VectorReplayBuffer(args.buffer_size, len(train_envs)) else: buffer = ReplayBuffer(args.buffer_size) train_collector = Collector(policy, train_envs, buffer, exploration_noise=True) test_collector = Collector(policy, test_envs) t0 = datetime.datetime.now().strftime("%m%d_%H%M%S") log_file = f'seed_{args.seed}_{t0}-{args.task.replace("-", "_")}_reinforce' log_path = os.path.join(args.logdir, args.task, 'reinforce', log_file) writer = SummaryWriter(log_path) writer.add_text("args", str(args)) logger = BasicLogger(writer, update_interval=10) def save_fn(policy): torch.save(policy.state_dict(), os.path.join(log_path, 'policy.pth')) result = onpolicy_trainer( policy, train_collector, test_collector, args.epoch, args.step_per_epoch, args.repeat_per_collect, args.test_num, args.batch_size, step_per_collect=args.step_per_collect, save_fn=save_fn, logger=logger, test_in_train=False) policy.eval() test_envs.seed(args.seed) test_collector.reset() result = test_collector.collect(n_episode=args.test_num, render=args.render) print(f'Final reward: {result["rews"].mean()}, length: {result["lens"].mean()}') if __name__ == '__main__': test_reinforce()

true

f7fc28e0d4cfe440a51d8db834107ca7f756ad6d

4,056

py

Python

Acquire/Storage/_dirmeta.py

samle-appsbroker/acquire

34f29dc4173cb87f8e2f49864559b35efb48b21b

[ "Apache-2.0" ]

21

2019-01-29T17:18:45.000Z

2021-11-07T19:29:31.000Z

Acquire/Storage/_dirmeta.py

samle-appsbroker/acquire

34f29dc4173cb87f8e2f49864559b35efb48b21b

[ "Apache-2.0" ]

8

2019-02-22T16:53:39.000Z

2022-01-13T01:29:54.000Z

Acquire/Storage/_dirmeta.py

chryswoods/acquire

bf8a0465a531f3b485cb2a14c69dc9aea79451fd

[ "Apache-2.0" ]

4

2019-06-20T07:49:05.000Z

2020-03-31T18:11:56.000Z

__all__ = ["DirMeta"] class DirMeta: """This is a lightweight class that holds the metadata about a particular directory in a Drive. Note that directories are not versioned, and they do not contain any ACLs (the ACLs are attached to files or drives). Directories just provide a convenient way to group together a set of files in a Drive """ def __init__(self, name=None): """Construct, specifying the name of the directory""" self._name = name self._drive_metadata = None self._creds = None def __str__(self): """Return a string representation""" if self.is_null(): return "DirMeta::null" else: return "DirMeta(%s)" % self._name def __repr__(self): return self.__str__() def __eq__(self, other): """Comparison equals""" if isinstance(other, self.__class__): return self.__dict__ == other.__dict__ else: return False def open(self, creds=None): """Open and return the File associated with this metadata""" from Acquire.Client import Directory as _Directory return _Directory.open(metadata=self, creds=creds) def is_null(self): """Return whether or not this is null""" return self._name is None def _copy_credentials(self, other): """Copy the drive metadata and credentials from 'other' to self""" if not isinstance(other, DirMeta): raise TypeError("other should be a DirMeta") self._drive_metadata = other._drive_metadata self._creds = other._creds def _set_drive_metadata(self, metadata, creds=None): """Internal function called by "Drive" to store the metadata of the drive that contains the Directory described by this metadata """ from Acquire.Client import DriveMeta as _DriveMeta if not isinstance(metadata, _DriveMeta): raise TypeError("The metadata must be type DriveMeta") if creds is None: creds = metadata._creds else: if creds is not metadata._creds: from copy import copy as _copy metadata = _copy(metadata) metadata._creds = creds self._drive_metadata = metadata self._creds = metadata._creds def location(self): """Return a global location for this directory. This is unique for this directory and can be used to locate this directory from any other service. """ if self.is_null(): return None elif self._drive_metadata is None: raise PermissionError( "Cannot generate the location as we don't know " "which drive this file has come from!") from Acquire.Client import Location as _Location return _Location(drive_guid=self._drive_metadata.guid(), filename=self.name()) def name(self): """Return the name of the directory""" return self._name def drive(self): """Return the metadata for the drive that contains this file""" if self.is_null(): return None elif self._drive_metadata is None: raise PermissionError( "Cannot get the drive metadata as we don't know " "which drive this directory has come from!") else: from copy import copy as _copy return _copy(self._drive_metadata) def to_data(self): """Return a json-serialisable dictionary of this object""" data = {} if self.is_null(): return data data["name"] = str(self._name) return data @staticmethod def from_data(data): """Return a new DirMeta constructed from the passed json-deserialised dictionary """ d = DirMeta() if data is not None and len(data) > 0: d._name = data["name"] return d

32.190476

78

0.600592

__all__ = ["DirMeta"] class DirMeta: def __init__(self, name=None): self._name = name self._drive_metadata = None self._creds = None def __str__(self): if self.is_null(): return "DirMeta::null" else: return "DirMeta(%s)" % self._name def __repr__(self): return self.__str__() def __eq__(self, other): if isinstance(other, self.__class__): return self.__dict__ == other.__dict__ else: return False def open(self, creds=None): from Acquire.Client import Directory as _Directory return _Directory.open(metadata=self, creds=creds) def is_null(self): return self._name is None def _copy_credentials(self, other): if not isinstance(other, DirMeta): raise TypeError("other should be a DirMeta") self._drive_metadata = other._drive_metadata self._creds = other._creds def _set_drive_metadata(self, metadata, creds=None): from Acquire.Client import DriveMeta as _DriveMeta if not isinstance(metadata, _DriveMeta): raise TypeError("The metadata must be type DriveMeta") if creds is None: creds = metadata._creds else: if creds is not metadata._creds: from copy import copy as _copy metadata = _copy(metadata) metadata._creds = creds self._drive_metadata = metadata self._creds = metadata._creds def location(self): if self.is_null(): return None elif self._drive_metadata is None: raise PermissionError( "Cannot generate the location as we don't know " "which drive this file has come from!") from Acquire.Client import Location as _Location return _Location(drive_guid=self._drive_metadata.guid(), filename=self.name()) def name(self): return self._name def drive(self): if self.is_null(): return None elif self._drive_metadata is None: raise PermissionError( "Cannot get the drive metadata as we don't know " "which drive this directory has come from!") else: from copy import copy as _copy return _copy(self._drive_metadata) def to_data(self): data = {} if self.is_null(): return data data["name"] = str(self._name) return data @staticmethod def from_data(data): d = DirMeta() if data is not None and len(data) > 0: d._name = data["name"] return d

true

f7fc2a17b32dc724cbd853d6790d72c1c6ed165e

16,386

py

Python

electrum/plugins/hw_wallet/plugin.py

litecoinfinance/electrum

9d6cd0295faa124956f5c5ea68fb46c31815ead5

[ "MIT" ]

null

electrum/plugins/hw_wallet/plugin.py

litecoinfinance/electrum

9d6cd0295faa124956f5c5ea68fb46c31815ead5

[ "MIT" ]

null

electrum/plugins/hw_wallet/plugin.py

litecoinfinance/electrum

9d6cd0295faa124956f5c5ea68fb46c31815ead5

[ "MIT" ]

1

2021-08-13T22:55:05.000Z

#!/usr/bin/env python2 # -*- mode: python -*- # # Electrum - lightweight Bitcoin client # Copyright (C) 2016 The Electrum developers # # Permission is hereby granted, free of charge, to any person # obtaining a copy of this software and associated documentation files # (the "Software"), to deal in the Software without restriction, # including without limitation the rights to use, copy, modify, merge, # publish, distribute, sublicense, and/or sell copies of the Software, # and to permit persons to whom the Software is furnished to do so, # subject to the following conditions: # # The above copyright notice and this permission notice shall be # included in all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, # EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF # MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND # NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS # BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN # ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN # CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. from typing import TYPE_CHECKING, Dict, List, Union, Tuple, Sequence, Optional, Type, Iterable, Any from functools import partial from electrum.plugin import (BasePlugin, hook, Device, DeviceMgr, DeviceInfo, assert_runs_in_hwd_thread, runs_in_hwd_thread) from electrum.i18n import _ from electrum.bitcoin import is_address, opcodes from electrum.util import bfh, versiontuple, UserFacingException from electrum.transaction import TxOutput, Transaction, PartialTransaction, PartialTxInput, PartialTxOutput from electrum.bip32 import BIP32Node from electrum.storage import get_derivation_used_for_hw_device_encryption from electrum.keystore import Xpub, Hardware_KeyStore if TYPE_CHECKING: import threading from electrum.wallet import Abstract_Wallet from electrum.base_wizard import BaseWizard class HW_PluginBase(BasePlugin): keystore_class: Type['Hardware_KeyStore'] libraries_available: bool # define supported library versions: minimum_library <= x < maximum_library minimum_library = (0,) maximum_library = (float('inf'),) DEVICE_IDS: Iterable[Any] def __init__(self, parent, config, name): BasePlugin.__init__(self, parent, config, name) self.device = self.keystore_class.device self.keystore_class.plugin = self self._ignore_outdated_fw = False def is_enabled(self): return True def device_manager(self) -> 'DeviceMgr': return self.parent.device_manager def create_device_from_hid_enumeration(self, d: dict, *, product_key) -> Optional['Device']: # Older versions of hid don't provide interface_number interface_number = d.get('interface_number', -1) usage_page = d['usage_page'] id_ = d['serial_number'] if len(id_) == 0: id_ = str(d['path']) id_ += str(interface_number) + str(usage_page) device = Device(path=d['path'], interface_number=interface_number, id_=id_, product_key=product_key, usage_page=usage_page, transport_ui_string='hid') return device @hook def close_wallet(self, wallet: 'Abstract_Wallet'): for keystore in wallet.get_keystores(): if isinstance(keystore, self.keystore_class): self.device_manager().unpair_xpub(keystore.xpub) if keystore.thread: keystore.thread.stop() def scan_and_create_client_for_device(self, *, device_id: str, wizard: 'BaseWizard') -> 'HardwareClientBase': devmgr = self.device_manager() client = wizard.run_task_without_blocking_gui( task=partial(devmgr.client_by_id, device_id)) if client is None: raise UserFacingException(_('Failed to create a client for this device.') + '\n' + _('Make sure it is in the correct state.')) client.handler = self.create_handler(wizard) return client def setup_device(self, device_info: DeviceInfo, wizard: 'BaseWizard', purpose) -> 'HardwareClientBase': """Called when creating a new wallet or when using the device to decrypt an existing wallet. Select the device to use. If the device is uninitialized, go through the initialization process. Runs in GUI thread. """ raise NotImplementedError() def get_client(self, keystore: 'Hardware_KeyStore', force_pair: bool = True, *, devices: Sequence['Device'] = None, allow_user_interaction: bool = True) -> Optional['HardwareClientBase']: devmgr = self.device_manager() handler = keystore.handler client = devmgr.client_for_keystore(self, handler, keystore, force_pair, devices=devices, allow_user_interaction=allow_user_interaction) return client def show_address(self, wallet: 'Abstract_Wallet', address, keystore: 'Hardware_KeyStore' = None): pass # implemented in child classes def show_address_helper(self, wallet, address, keystore=None): if keystore is None: keystore = wallet.get_keystore() if not is_address(address): keystore.handler.show_error(_('Invalid Litecoin Finance Address')) return False if not wallet.is_mine(address): keystore.handler.show_error(_('Address not in wallet.')) return False if type(keystore) != self.keystore_class: return False return True def get_library_version(self) -> str: """Returns the version of the 3rd party python library for the hw wallet. For example '0.9.0' Returns 'unknown' if library is found but cannot determine version. Raises 'ImportError' if library is not found. Raises 'LibraryFoundButUnusable' if found but there was some problem (includes version num). """ raise NotImplementedError() def check_libraries_available(self) -> bool: def version_str(t): return ".".join(str(i) for i in t) try: # this might raise ImportError or LibraryFoundButUnusable library_version = self.get_library_version() # if no exception so far, we might still raise LibraryFoundButUnusable if (library_version == 'unknown' or versiontuple(library_version) < self.minimum_library or versiontuple(library_version) >= self.maximum_library): raise LibraryFoundButUnusable(library_version=library_version) except ImportError: return False except LibraryFoundButUnusable as e: library_version = e.library_version self.libraries_available_message = ( _("Library version for '{}' is incompatible.").format(self.name) + '\nInstalled: {}, Needed: {} <= x < {}' .format(library_version, version_str(self.minimum_library), version_str(self.maximum_library))) self.logger.warning(self.libraries_available_message) return False return True def get_library_not_available_message(self) -> str: if hasattr(self, 'libraries_available_message'): message = self.libraries_available_message else: message = _("Missing libraries for {}.").format(self.name) message += '\n' + _("Make sure you install it with python3") return message def set_ignore_outdated_fw(self): self._ignore_outdated_fw = True def is_outdated_fw_ignored(self) -> bool: return self._ignore_outdated_fw def create_client(self, device: 'Device', handler: Optional['HardwareHandlerBase']) -> Optional['HardwareClientBase']: raise NotImplementedError() def get_xpub(self, device_id: str, derivation: str, xtype, wizard: 'BaseWizard') -> str: raise NotImplementedError() def create_handler(self, window) -> 'HardwareHandlerBase': # note: in Qt GUI, 'window' is either an ElectrumWindow or an InstallWizard raise NotImplementedError() def can_recognize_device(self, device: Device) -> bool: """Whether the plugin thinks it can handle the given device. Used for filtering all connected hardware devices to only those by this vendor. """ return device.product_key in self.DEVICE_IDS class HardwareClientBase: handler = None # type: Optional['HardwareHandlerBase'] def __init__(self, *, plugin: 'HW_PluginBase'): assert_runs_in_hwd_thread() self.plugin = plugin def device_manager(self) -> 'DeviceMgr': return self.plugin.device_manager() def is_pairable(self) -> bool: raise NotImplementedError() def close(self): raise NotImplementedError() def timeout(self, cutoff) -> None: pass def is_initialized(self) -> bool: """True if initialized, False if wiped.""" raise NotImplementedError() def label(self) -> Optional[str]: """The name given by the user to the device. Note: labels are shown to the user to help distinguish their devices, and they are also used as a fallback to distinguish devices programmatically. So ideally, different devices would have different labels. """ # When returning a constant here (i.e. not implementing the method in the way # it is supposed to work), make sure the return value is in electrum.plugin.PLACEHOLDER_HW_CLIENT_LABELS return " " def get_soft_device_id(self) -> Optional[str]: """An id-like string that is used to distinguish devices programmatically. This is a long term id for the device, that does not change between reconnects. This method should not prompt the user, i.e. no user interaction, as it is used during USB device enumeration (called for each unpaired device). Stored in the wallet file. """ # This functionality is optional. If not implemented just return None: return None def has_usable_connection_with_device(self) -> bool: raise NotImplementedError() def get_xpub(self, bip32_path: str, xtype) -> str: raise NotImplementedError() @runs_in_hwd_thread def request_root_fingerprint_from_device(self) -> str: # digitalbitbox (at least) does not reveal xpubs corresponding to unhardened paths # so ask for a direct child, and read out fingerprint from that: child_of_root_xpub = self.get_xpub("m/0'", xtype='standard') root_fingerprint = BIP32Node.from_xkey(child_of_root_xpub).fingerprint.hex().lower() return root_fingerprint @runs_in_hwd_thread def get_password_for_storage_encryption(self) -> str: # note: using a different password based on hw device type is highly undesirable! see #5993 derivation = get_derivation_used_for_hw_device_encryption() xpub = self.get_xpub(derivation, "standard") password = Xpub.get_pubkey_from_xpub(xpub, ()).hex() return password def device_model_name(self) -> Optional[str]: """Return the name of the model of this device, which might be displayed in the UI. E.g. for Trezor, "Trezor One" or "Trezor T". """ return None def manipulate_keystore_dict_during_wizard_setup(self, d: dict) -> None: """Called during wallet creation in the wizard, before the keystore is constructed for the first time. 'd' is the dict that will be passed to the keystore constructor. """ pass class HardwareHandlerBase: """An interface between the GUI and the device handling logic for handling I/O.""" win = None device: str def get_wallet(self) -> Optional['Abstract_Wallet']: if self.win is not None: if hasattr(self.win, 'wallet'): return self.win.wallet def get_gui_thread(self) -> Optional['threading.Thread']: if self.win is not None: if hasattr(self.win, 'gui_thread'): return self.win.gui_thread def update_status(self, paired: bool) -> None: pass def query_choice(self, msg: str, labels: Sequence[str]) -> Optional[int]: raise NotImplementedError() def yes_no_question(self, msg: str) -> bool: raise NotImplementedError() def show_message(self, msg: str, on_cancel=None) -> None: raise NotImplementedError() def show_error(self, msg: str, blocking: bool = False) -> None: raise NotImplementedError() def finished(self) -> None: pass def get_word(self, msg: str) -> str: raise NotImplementedError() def get_passphrase(self, msg: str, confirm: bool) -> Optional[str]: raise NotImplementedError() def get_pin(self, msg: str, *, show_strength: bool = True) -> str: raise NotImplementedError() def is_any_tx_output_on_change_branch(tx: PartialTransaction) -> bool: return any([txout.is_change for txout in tx.outputs()]) def trezor_validate_op_return_output_and_get_data(output: TxOutput) -> bytes: validate_op_return_output(output) script = output.scriptpubkey if not (script[0] == opcodes.OP_RETURN and script[1] == len(script) - 2 and script[1] <= 75): raise UserFacingException(_("Only OP_RETURN scripts, with one constant push, are supported.")) return script[2:] def validate_op_return_output(output: TxOutput, *, max_size: int = None) -> None: script = output.scriptpubkey if script[0] != opcodes.OP_RETURN: raise UserFacingException(_("Only OP_RETURN scripts are supported.")) if max_size is not None and len(script) > max_size: raise UserFacingException(_("OP_RETURN payload too large." + "\n" + f"(scriptpubkey size {len(script)} > {max_size})")) if output.value != 0: raise UserFacingException(_("Amount for OP_RETURN output must be zero.")) def get_xpubs_and_der_suffixes_from_txinout(tx: PartialTransaction, txinout: Union[PartialTxInput, PartialTxOutput]) \ -> List[Tuple[str, List[int]]]: xfp_to_xpub_map = {xfp: bip32node for bip32node, (xfp, path) in tx.xpubs.items()} # type: Dict[bytes, BIP32Node] xfps = [txinout.bip32_paths[pubkey][0] for pubkey in txinout.pubkeys] try: xpubs = [xfp_to_xpub_map[xfp] for xfp in xfps] except KeyError as e: raise Exception(f"Partial transaction is missing global xpub for " f"fingerprint ({str(e)}) in input/output") from e xpubs_and_deriv_suffixes = [] for bip32node, pubkey in zip(xpubs, txinout.pubkeys): xfp, path = txinout.bip32_paths[pubkey] der_suffix = list(path)[bip32node.depth:] xpubs_and_deriv_suffixes.append((bip32node.to_xpub(), der_suffix)) return xpubs_and_deriv_suffixes def only_hook_if_libraries_available(func): # note: this decorator must wrap @hook, not the other way around, # as 'hook' uses the name of the function it wraps def wrapper(self: 'HW_PluginBase', *args, **kwargs): if not self.libraries_available: return None return func(self, *args, **kwargs) return wrapper class LibraryFoundButUnusable(Exception): def __init__(self, library_version='unknown'): self.library_version = library_version class OutdatedHwFirmwareException(UserFacingException): def text_ignore_old_fw_and_continue(self) -> str: suffix = (_("The firmware of your hardware device is too old. " "If possible, you should upgrade it. " "You can ignore this error and try to continue, however things are likely to break.") + "\n\n" + _("Ignore and continue?")) if str(self): return str(self) + "\n\n" + suffix else: return suffix

41.378788

116

0.66331

from typing import TYPE_CHECKING, Dict, List, Union, Tuple, Sequence, Optional, Type, Iterable, Any from functools import partial from electrum.plugin import (BasePlugin, hook, Device, DeviceMgr, DeviceInfo, assert_runs_in_hwd_thread, runs_in_hwd_thread) from electrum.i18n import _ from electrum.bitcoin import is_address, opcodes from electrum.util import bfh, versiontuple, UserFacingException from electrum.transaction import TxOutput, Transaction, PartialTransaction, PartialTxInput, PartialTxOutput from electrum.bip32 import BIP32Node from electrum.storage import get_derivation_used_for_hw_device_encryption from electrum.keystore import Xpub, Hardware_KeyStore if TYPE_CHECKING: import threading from electrum.wallet import Abstract_Wallet from electrum.base_wizard import BaseWizard class HW_PluginBase(BasePlugin): keystore_class: Type['Hardware_KeyStore'] libraries_available: bool minimum_library = (0,) maximum_library = (float('inf'),) DEVICE_IDS: Iterable[Any] def __init__(self, parent, config, name): BasePlugin.__init__(self, parent, config, name) self.device = self.keystore_class.device self.keystore_class.plugin = self self._ignore_outdated_fw = False def is_enabled(self): return True def device_manager(self) -> 'DeviceMgr': return self.parent.device_manager def create_device_from_hid_enumeration(self, d: dict, *, product_key) -> Optional['Device']: interface_number = d.get('interface_number', -1) usage_page = d['usage_page'] id_ = d['serial_number'] if len(id_) == 0: id_ = str(d['path']) id_ += str(interface_number) + str(usage_page) device = Device(path=d['path'], interface_number=interface_number, id_=id_, product_key=product_key, usage_page=usage_page, transport_ui_string='hid') return device @hook def close_wallet(self, wallet: 'Abstract_Wallet'): for keystore in wallet.get_keystores(): if isinstance(keystore, self.keystore_class): self.device_manager().unpair_xpub(keystore.xpub) if keystore.thread: keystore.thread.stop() def scan_and_create_client_for_device(self, *, device_id: str, wizard: 'BaseWizard') -> 'HardwareClientBase': devmgr = self.device_manager() client = wizard.run_task_without_blocking_gui( task=partial(devmgr.client_by_id, device_id)) if client is None: raise UserFacingException(_('Failed to create a client for this device.') + '\n' + _('Make sure it is in the correct state.')) client.handler = self.create_handler(wizard) return client def setup_device(self, device_info: DeviceInfo, wizard: 'BaseWizard', purpose) -> 'HardwareClientBase': raise NotImplementedError() def get_client(self, keystore: 'Hardware_KeyStore', force_pair: bool = True, *, devices: Sequence['Device'] = None, allow_user_interaction: bool = True) -> Optional['HardwareClientBase']: devmgr = self.device_manager() handler = keystore.handler client = devmgr.client_for_keystore(self, handler, keystore, force_pair, devices=devices, allow_user_interaction=allow_user_interaction) return client def show_address(self, wallet: 'Abstract_Wallet', address, keystore: 'Hardware_KeyStore' = None): pass # implemented in child classes def show_address_helper(self, wallet, address, keystore=None): if keystore is None: keystore = wallet.get_keystore() if not is_address(address): keystore.handler.show_error(_('Invalid Litecoin Finance Address')) return False if not wallet.is_mine(address): keystore.handler.show_error(_('Address not in wallet.')) return False if type(keystore) != self.keystore_class: return False return True def get_library_version(self) -> str: raise NotImplementedError() def check_libraries_available(self) -> bool: def version_str(t): return ".".join(str(i) for i in t) try: # this might raise ImportError or LibraryFoundButUnusable library_version = self.get_library_version() # if no exception so far, we might still raise LibraryFoundButUnusable if (library_version == 'unknown' or versiontuple(library_version) < self.minimum_library or versiontuple(library_version) >= self.maximum_library): raise LibraryFoundButUnusable(library_version=library_version) except ImportError: return False except LibraryFoundButUnusable as e: library_version = e.library_version self.libraries_available_message = ( _("Library version for '{}' is incompatible.").format(self.name) + '\nInstalled: {}, Needed: {} <= x < {}' .format(library_version, version_str(self.minimum_library), version_str(self.maximum_library))) self.logger.warning(self.libraries_available_message) return False return True def get_library_not_available_message(self) -> str: if hasattr(self, 'libraries_available_message'): message = self.libraries_available_message else: message = _("Missing libraries for {}.").format(self.name) message += '\n' + _("Make sure you install it with python3") return message def set_ignore_outdated_fw(self): self._ignore_outdated_fw = True def is_outdated_fw_ignored(self) -> bool: return self._ignore_outdated_fw def create_client(self, device: 'Device', handler: Optional['HardwareHandlerBase']) -> Optional['HardwareClientBase']: raise NotImplementedError() def get_xpub(self, device_id: str, derivation: str, xtype, wizard: 'BaseWizard') -> str: raise NotImplementedError() def create_handler(self, window) -> 'HardwareHandlerBase': # note: in Qt GUI, 'window' is either an ElectrumWindow or an InstallWizard raise NotImplementedError() def can_recognize_device(self, device: Device) -> bool: return device.product_key in self.DEVICE_IDS class HardwareClientBase: handler = None # type: Optional['HardwareHandlerBase'] def __init__(self, *, plugin: 'HW_PluginBase'): assert_runs_in_hwd_thread() self.plugin = plugin def device_manager(self) -> 'DeviceMgr': return self.plugin.device_manager() def is_pairable(self) -> bool: raise NotImplementedError() def close(self): raise NotImplementedError() def timeout(self, cutoff) -> None: pass def is_initialized(self) -> bool: raise NotImplementedError() def label(self) -> Optional[str]: # When returning a constant here (i.e. not implementing the method in the way # it is supposed to work), make sure the return value is in electrum.plugin.PLACEHOLDER_HW_CLIENT_LABELS return " " def get_soft_device_id(self) -> Optional[str]: # This functionality is optional. If not implemented just return None: return None def has_usable_connection_with_device(self) -> bool: raise NotImplementedError() def get_xpub(self, bip32_path: str, xtype) -> str: raise NotImplementedError() @runs_in_hwd_thread def request_root_fingerprint_from_device(self) -> str: # digitalbitbox (at least) does not reveal xpubs corresponding to unhardened paths # so ask for a direct child, and read out fingerprint from that: child_of_root_xpub = self.get_xpub("m/0'", xtype='standard') root_fingerprint = BIP32Node.from_xkey(child_of_root_xpub).fingerprint.hex().lower() return root_fingerprint @runs_in_hwd_thread def get_password_for_storage_encryption(self) -> str: derivation = get_derivation_used_for_hw_device_encryption() xpub = self.get_xpub(derivation, "standard") password = Xpub.get_pubkey_from_xpub(xpub, ()).hex() return password def device_model_name(self) -> Optional[str]: return None def manipulate_keystore_dict_during_wizard_setup(self, d: dict) -> None: pass class HardwareHandlerBase: win = None device: str def get_wallet(self) -> Optional['Abstract_Wallet']: if self.win is not None: if hasattr(self.win, 'wallet'): return self.win.wallet def get_gui_thread(self) -> Optional['threading.Thread']: if self.win is not None: if hasattr(self.win, 'gui_thread'): return self.win.gui_thread def update_status(self, paired: bool) -> None: pass def query_choice(self, msg: str, labels: Sequence[str]) -> Optional[int]: raise NotImplementedError() def yes_no_question(self, msg: str) -> bool: raise NotImplementedError() def show_message(self, msg: str, on_cancel=None) -> None: raise NotImplementedError() def show_error(self, msg: str, blocking: bool = False) -> None: raise NotImplementedError() def finished(self) -> None: pass def get_word(self, msg: str) -> str: raise NotImplementedError() def get_passphrase(self, msg: str, confirm: bool) -> Optional[str]: raise NotImplementedError() def get_pin(self, msg: str, *, show_strength: bool = True) -> str: raise NotImplementedError() def is_any_tx_output_on_change_branch(tx: PartialTransaction) -> bool: return any([txout.is_change for txout in tx.outputs()]) def trezor_validate_op_return_output_and_get_data(output: TxOutput) -> bytes: validate_op_return_output(output) script = output.scriptpubkey if not (script[0] == opcodes.OP_RETURN and script[1] == len(script) - 2 and script[1] <= 75): raise UserFacingException(_("Only OP_RETURN scripts, with one constant push, are supported.")) return script[2:] def validate_op_return_output(output: TxOutput, *, max_size: int = None) -> None: script = output.scriptpubkey if script[0] != opcodes.OP_RETURN: raise UserFacingException(_("Only OP_RETURN scripts are supported.")) if max_size is not None and len(script) > max_size: raise UserFacingException(_("OP_RETURN payload too large." + "\n" + f"(scriptpubkey size {len(script)} > {max_size})")) if output.value != 0: raise UserFacingException(_("Amount for OP_RETURN output must be zero.")) def get_xpubs_and_der_suffixes_from_txinout(tx: PartialTransaction, txinout: Union[PartialTxInput, PartialTxOutput]) \ -> List[Tuple[str, List[int]]]: xfp_to_xpub_map = {xfp: bip32node for bip32node, (xfp, path) in tx.xpubs.items()} xfps = [txinout.bip32_paths[pubkey][0] for pubkey in txinout.pubkeys] try: xpubs = [xfp_to_xpub_map[xfp] for xfp in xfps] except KeyError as e: raise Exception(f"Partial transaction is missing global xpub for " f"fingerprint ({str(e)}) in input/output") from e xpubs_and_deriv_suffixes = [] for bip32node, pubkey in zip(xpubs, txinout.pubkeys): xfp, path = txinout.bip32_paths[pubkey] der_suffix = list(path)[bip32node.depth:] xpubs_and_deriv_suffixes.append((bip32node.to_xpub(), der_suffix)) return xpubs_and_deriv_suffixes def only_hook_if_libraries_available(func): def wrapper(self: 'HW_PluginBase', *args, **kwargs): if not self.libraries_available: return None return func(self, *args, **kwargs) return wrapper class LibraryFoundButUnusable(Exception): def __init__(self, library_version='unknown'): self.library_version = library_version class OutdatedHwFirmwareException(UserFacingException): def text_ignore_old_fw_and_continue(self) -> str: suffix = (_("The firmware of your hardware device is too old. " "If possible, you should upgrade it. " "You can ignore this error and try to continue, however things are likely to break.") + "\n\n" + _("Ignore and continue?")) if str(self): return str(self) + "\n\n" + suffix else: return suffix

true

f7fc2b0cac9e37be30e31404369296cf3d9f2545

7,691

py

Python

unicom-task/task/blindBox.py

Charles-Hello/myScripts

07f2d0fe51ab3581d812de64c57110bcad6219cd

[ "MIT" ]

2

2022-02-08T13:55:37.000Z

2022-02-24T15:02:32.000Z

unicom-task/task/blindBox.py

Charles-Hello/myScripts

07f2d0fe51ab3581d812de64c57110bcad6219cd

[ "MIT" ]

null

unicom-task/task/blindBox.py

Charles-Hello/myScripts

07f2d0fe51ab3581d812de64c57110bcad6219cd

[ "MIT" ]

2

2022-02-09T19:03:34.000Z

2022-03-27T03:34:19.000Z

# -*- coding: utf8 -*- # @rhming import json import re,time,logging import requests import login from random import randint # from utils import jsonencode as json from utils.toutiao_reward import TouTiao from utils.jifen import encrypt_req_params, encrypt_free_login_params class blindBox: def _init_(self, mobile, password): self.session.headers = requests.structures.CaseInsensitiveDict({ "origin": "https://m.jf.10010.com", "user-agent": self.useragent, "content-type": "application/json", "accept": "*/*", "referer": "https://m.jf.10010.com/cms/yuech/unicom-integral-ui/yuech-Blindbox/shake/index.html?jump=sign", }) self.clientVersion = self.version.split('@')[1] self.toutiao = TouTiao(mobile) self.activityId = 'Ac-9b71780cb87844b9ac3ab5d34b11dd24' # def getUrlParam(self, name, value): # # 'Ac-f4557b3ac6004a48b1187e32ea343ca8' # return re.findall(name + r'=([^&]+)', value)[0] def openPlatLineNew(self, to_url, retry=3): try: url = f'https://m.client.10010.com/mobileService/openPlatform/openPlatLineNew.htm?to_url={to_url}' _ = self.session.get(url=url, headers={ "Origin": "https://img.client.10010.com", "X-Requested-With": "com.sinovatech.unicom.ui" }) # self.global_config['cookie'] = self.session.cookies.get_dict() # self.global_config['cookie']['_jf_t'] = str(self.timestamp) # self.saveCookie(f'{self.mobile}WoGame', self.global_config) if not self.session.cookies.get('_jf_id', ''): raise Exception('未获取到_jf_id') except Exception as e: logging.info(e) if retry > 0: time.sleep(5) self.openPlatLineNew(to_url, retry - 1) else: raise Exception("[BlindBox]获取登录配置失败, 结束执行任务") def freeLoginRock(self): url = 'https://m.jf.10010.com/jf-yuech/p/freeLoginRock' data = { 'activityId': self.activityId, 'userCookie': self.session.cookies.get('_jf_id'), 'userNumber': self.mobile, 'time': self.timestamp } data = encrypt_free_login_params(data) # logging.info(data) # return resp = self.session.post(url=url, json=data) data = resp.json() # logging.info(json.dumps(data)) token = data['data']['token'] # type: dict token.update({"t": self.now_date}) # token.update({ # 'activityInfos': data['data']['activityInfos']['activityVOs'][0]['activityTimesInfo'] # }) self.saveCookie(f'{self.mobile}JFToken', token) self.session.headers.update({ "authorization": f"Bearer {token['access_token']}" }) return token def minusGameTimes(self, params, token={}, retry=1): url = 'https://m.jf.10010.com/jf-yuech/api/gameResultV2/minusGameTimes' data = { 'params': encrypt_req_params(params, self.session.cookies.get('_jf_id')) } resp = self.session.post(url=url, json=data) try: data = resp.json() # logging.info(data) # token['activityInfos']['advertTimes'] = data['data']['advertTimes'] # token['activityInfos']['freeTimes'] = data['data']['freeTimes'] # self.saveCookie(f'{self.mobile}JFToken', token) return data['data']['resultId'], data['data']['freeTimes'], data['data']['advertTimes'] except: if retry > 0: self.freeLoginRock() return self.minusGameTimes(params, token, retry - 1) return def luckDrawForPrize(self, resultId): url = 'https://m.jf.10010.com/jf-yuech/api/gameResultV2/luckDrawForPrize' data = { 'params': encrypt_req_params({ 'activityId': self.activityId, 'resultId': resultId # 'Ga-16d4aa3caa3040e88c276db953a0464c' }, self.session.cookies.get('_jf_id')) } resp = self.session.post(url=url, json=data) data = resp.json() logging.info(f"获得 {data['data'].get('status',None)} {data['data'].get('prizeName',None)}") def numIntegralQuery(self): url = 'https://m.jf.10010.com/jf-yuech/api/integralLogs/numIntegralQuery' params = { 'activityId': self.activityId, 'serviceNo': self.mobile, 'userType': 0 } resp = self.session.get(url=url, params=params) data = resp.json() logging.info(data) return data def run(self, client, user): self.session=client self.mobile=user['username'] self.version='android@8.0805' self.timestamp=time.time() * 1000 self.now_date=time.strftime('%Y-%m-%d', time.localtime(self.timestamp / 1000)) self.saveCookie=login.saveData self.readCookie=login.readData self.useragent='Mozilla/5.0 (Linux; Android 9; RMX1901 Build/QKQ1.190918.001; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/74.0.3729.186 Mobile Safari/537.36; unicom{version:android@8.0805,desmobile:' + str(self.mobile) + '};devicetype{deviceBrand:Realme,deviceModel:RMX1901};{yw_code:}' self._init_(user['username'], user['password']) to_url = f'https://m.jf.10010.com/jf-order/avoidLogin/forActive/yyyqd&yw_code=&desmobile={self.mobile}&version={self.version}' self.openPlatLineNew(to_url) token = self.readCookie(f'{self.mobile}JFToken') if ( token or not isinstance(token, dict) or token.get('t', '') != self.now_date or not token.get('access_token', '') # or not token.get('activityInfos', '') ): token = self.freeLoginRock() self.session.headers.update({ "authorization": f"Bearer {token['access_token']}" }) params = { 'activityId': self.activityId, 'currentTimes': 1, 'type': '免费' } resultId, freeTimes, advertTimes = self.minusGameTimes(params) if advertTimes == 0: logging.info('机会已用完') return if freeTimes == 1: # params = { # 'activityId': self.activityId, # 'currentTimes': 1, # 'type': '免费' # } # resultId, _, __ = self.minusGameTimes(params) if resultId: self.luckDrawForPrize(resultId) else: options = { 'arguments1': 'AC20200611152252', 'arguments2': '', 'codeId': 945689604, 'channelName': 'android-签到小游戏摇摇乐不倒翁-激励视频', 'remark': '签到小游戏翻倍得积分', 'ecs_token': self.session.cookies.get('ecs_token') } orderId = self.toutiao.reward(options) params = { 'activityId': self.activityId, 'currentTimes': advertTimes, 'type': '广告', 'orderId': orderId, 'phoneType': 'android', 'version': round(float(self.clientVersion), 4) } resultId, _, __ = self.minusGameTimes(params) if resultId: self.luckDrawForPrize(resultId) if __name__ == '__main__': pass

40.693122

313

0.549733

import json import re,time,logging import requests import login from random import randint from utils.toutiao_reward import TouTiao from utils.jifen import encrypt_req_params, encrypt_free_login_params class blindBox: def _init_(self, mobile, password): self.session.headers = requests.structures.CaseInsensitiveDict({ "origin": "https://m.jf.10010.com", "user-agent": self.useragent, "content-type": "application/json", "accept": "*/*", "referer": "https://m.jf.10010.com/cms/yuech/unicom-integral-ui/yuech-Blindbox/shake/index.html?jump=sign", }) self.clientVersion = self.version.split('@')[1] self.toutiao = TouTiao(mobile) self.activityId = 'Ac-9b71780cb87844b9ac3ab5d34b11dd24' _url, retry=3): try: url = f'https://m.client.10010.com/mobileService/openPlatform/openPlatLineNew.htm?to_url={to_url}' _ = self.session.get(url=url, headers={ "Origin": "https://img.client.10010.com", "X-Requested-With": "com.sinovatech.unicom.ui" }) if not self.session.cookies.get('_jf_id', ''): raise Exception('未获取到_jf_id') except Exception as e: logging.info(e) if retry > 0: time.sleep(5) self.openPlatLineNew(to_url, retry - 1) else: raise Exception("[BlindBox]获取登录配置失败, 结束执行任务") def freeLoginRock(self): url = 'https://m.jf.10010.com/jf-yuech/p/freeLoginRock' data = { 'activityId': self.activityId, 'userCookie': self.session.cookies.get('_jf_id'), 'userNumber': self.mobile, 'time': self.timestamp } data = encrypt_free_login_params(data) resp = self.session.post(url=url, json=data) data = resp.json() token = data['data']['token'] token.update({"t": self.now_date}) self.saveCookie(f'{self.mobile}JFToken', token) self.session.headers.update({ "authorization": f"Bearer {token['access_token']}" }) return token def minusGameTimes(self, params, token={}, retry=1): url = 'https://m.jf.10010.com/jf-yuech/api/gameResultV2/minusGameTimes' data = { 'params': encrypt_req_params(params, self.session.cookies.get('_jf_id')) } resp = self.session.post(url=url, json=data) try: data = resp.json() return data['data']['resultId'], data['data']['freeTimes'], data['data']['advertTimes'] except: if retry > 0: self.freeLoginRock() return self.minusGameTimes(params, token, retry - 1) return def luckDrawForPrize(self, resultId): url = 'https://m.jf.10010.com/jf-yuech/api/gameResultV2/luckDrawForPrize' data = { 'params': encrypt_req_params({ 'activityId': self.activityId, 'resultId': resultId }, self.session.cookies.get('_jf_id')) } resp = self.session.post(url=url, json=data) data = resp.json() logging.info(f"获得 {data['data'].get('status',None)} {data['data'].get('prizeName',None)}") def numIntegralQuery(self): url = 'https://m.jf.10010.com/jf-yuech/api/integralLogs/numIntegralQuery' params = { 'activityId': self.activityId, 'serviceNo': self.mobile, 'userType': 0 } resp = self.session.get(url=url, params=params) data = resp.json() logging.info(data) return data def run(self, client, user): self.session=client self.mobile=user['username'] self.version='android@8.0805' self.timestamp=time.time() * 1000 self.now_date=time.strftime('%Y-%m-%d', time.localtime(self.timestamp / 1000)) self.saveCookie=login.saveData self.readCookie=login.readData self.useragent='Mozilla/5.0 (Linux; Android 9; RMX1901 Build/QKQ1.190918.001; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/74.0.3729.186 Mobile Safari/537.36; unicom{version:android@8.0805,desmobile:' + str(self.mobile) + '};devicetype{deviceBrand:Realme,deviceModel:RMX1901};{yw_code:}' self._init_(user['username'], user['password']) to_url = f'https://m.jf.10010.com/jf-order/avoidLogin/forActive/yyyqd&yw_code=&desmobile={self.mobile}&version={self.version}' self.openPlatLineNew(to_url) token = self.readCookie(f'{self.mobile}JFToken') if ( token or not isinstance(token, dict) or token.get('t', '') != self.now_date or not token.get('access_token', '') ): token = self.freeLoginRock() self.session.headers.update({ "authorization": f"Bearer {token['access_token']}" }) params = { 'activityId': self.activityId, 'currentTimes': 1, 'type': '免费' } resultId, freeTimes, advertTimes = self.minusGameTimes(params) if advertTimes == 0: logging.info('机会已用完') return if freeTimes == 1: if resultId: self.luckDrawForPrize(resultId) else: options = { 'arguments1': 'AC20200611152252', 'arguments2': '', 'codeId': 945689604, 'channelName': 'android-签到小游戏摇摇乐不倒翁-激励视频', 'remark': '签到小游戏翻倍得积分', 'ecs_token': self.session.cookies.get('ecs_token') } orderId = self.toutiao.reward(options) params = { 'activityId': self.activityId, 'currentTimes': advertTimes, 'type': '广告', 'orderId': orderId, 'phoneType': 'android', 'version': round(float(self.clientVersion), 4) } resultId, _, __ = self.minusGameTimes(params) if resultId: self.luckDrawForPrize(resultId) if __name__ == '__main__': pass

true

f7fc2bd0eace7a4be9b4c0ed1d6c3806a06a778a

8,783

py

Python

Python_IE411/simplex_method/archived/simplex_method_new.py

Rothdyt/codes-for-courses

a2dfea516ebc7cabef31a5169533b6da352e7ccb

[ "MIT" ]

4

2018-09-23T00:00:13.000Z

2018-11-02T22:56:35.000Z

Python_IE411/simplex_method/archived/simplex_method_new.py

Rothdyt/codes-for-courses

a2dfea516ebc7cabef31a5169533b6da352e7ccb

[ "MIT" ]

null

Python_IE411/simplex_method/archived/simplex_method_new.py

Rothdyt/codes-for-courses

a2dfea516ebc7cabef31a5169533b6da352e7ccb

[ "MIT" ]

null

import numpy as np from simplex_step import simplex_step from simplex_init import find_negative_index def simplex_init_modified(A, b, c): """ Attempt to find a basic feasible vector for the linear program max: c*x ST: Ax=b x>=0, where A is a (m,n) matrix. Input Parameters: A - (n,m) constraint matrix b - (m,1) vector appearing in the constraint equation above c - (1,n) vector giving the coefficients of the objective function Output Parameters: istatus - integer parameter reporting the condition of the istatus = 0 indicates a basic feasible vector was found istatus = 4 indicates that the initialization procedure failed istatus = 16 indicates that the problem is infeasible iB - integer vector of length m specifying the indices of the basic variables iN - integer vector of length n-m specying the indices of the nonbasic variables xB - vector of length m specifying the values of the basic variables """ A_new, b_new = A, b A_new[find_negative_index(b)] = -A[find_negative_index(b)] b_new[find_negative_index(b)] = -b[find_negative_index(b)] A_new = np.hstack((A_new, np.eye(b.shape[0]))) # problem setup c_phase_I = np.zeros(A_new.shape[1]).reshape(1, -1) c_phase_I[0, c.shape[1]:] = np.ones(b.shape[0]) iB = np.arange(c.shape[1], c.shape[1] + b.shape[0]) + 1 # index begin with 1 for input iN = np.arange(0, c.shape[1]) + 1 xB = np.matrix(np.copy(b)) istatus_step = 1000 while istatus_step != -1: try: istatus_step, iB, iN, xB, Binv = simplex_step(A_new, b_new, c_phase_I, iB, iN, xB, irule=0) except np.linalg.LinAlgError: raise ValueError("iB cannot form a basis!") if istatus_step == 16: istatus, iB, iN, xB, tableau = 4, None, None, None, None return istatus, iB, iN, xB iB = iB - 1 optimal_cost = np.matmul(c_phase_I[0, iB].reshape(1, -2), xB) if optimal_cost > 0: istatus, iB, iN, xB, tableau = 16, None, None, None, None return istatus, iB, iN, xB if optimal_cost == 0: #print("optimal basis is found!") istatus = 0 artificial_idx = np.arange(c.shape[1], c.shape[1] + b.shape[0]) artificial_in_basis = np.intersect1d(artificial_idx, iB) tableau = np.matmul(Binv, A_new) #c_new = np.concatenate((c, np.zeros(A.shape[0]).reshape(1, -1)), axis=1) #reduced_cost = c - np.matmul(np.matmul(c_new[0, iB], Binv), A) if len(artificial_in_basis) == 0: #print("no artificial variable in the final basis") return istatus, iB+1, iN, xB, tableau[:, 0:A.shape[1]] else: #print("artificial variable in the final basis") for xl in artificial_in_basis: row_l = tableau[np.where(iB == xl), :c.shape[1]] if np.sum(row_l) == 0: tableau = np.delete(tableau, np.where(iB == xl), axis=0) xB = np.delete(xB, np.where(iB == xl)) iB = np.delete(iB, np.where(iB == xl)) iN = np.setdiff1d(range(c.shape[1]), iB) iB = iB + 1 iN = iN + 1 xB = xB.reshape(-1, 1) return istatus, iB, iN, xB, tableau[:, 0:A.shape[1]] def simplex_method(A, b, c, irule): """ Find a basic optimal solution for the linear program min: c*x ST: Ax=b x>=0, where A is an (m,n) matrix. Input Parameters: A - (n,m) constraint matrix b - (m,1) POSITIVE vector appearing in the constraint equation above c - (1,n) vector giving the coefficients of the objective function irule - integer parameter speciying which pivot rule to use: irule = 0 indicates that the smallest coefficient rule should be used irule = 1 indicates that Bland's rule should be used Output Parameters: istatus - integer parameter reporting the condition of the istatus = 0 indicates normal completeion (i.e., a solution has been found and reported) istatus = 4 indicates the program is infeasible istatus = 16 indicates the program is feasible but our initialization procedure has failed istatus = 32 indicates that the program is unbounded X - vector of length n specifying the solution eta - the minimum value of the objective function iB - integer vector specifying the m indices of the basic variables after the simplex step iN - integer vector specifying the n-m indices of the nonbasic variables after the simplex step xB - vector of length m specifying the values of the basic variables after the simplex step """ #init_status, iB, iN, xB, tableau = simplex_init_modified(A, b, c) init_status, iB, iN, xB, tableau = simplex_init_modified(A, b, c) if init_status == 4: istatus, X, eta, iB, iN, xB = 16, None, None, None, None, None return istatus, X, eta, iB, iN, xB elif init_status == 16: istatus, X, eta, iB, iN, xB = 4, None, None, None, None, None return istatus, X, eta, iB, iN, xB else: istatus_step = 1000 while istatus_step != -1: istatus_step, iB, iN, xB, _ = simplex_step(tableau, xB, c, iB, iN, xB, irule=1) if istatus_step == 16: istatus, X, iB, iN, xB = 32, None, None, None, None return istatus, X, eta, iB, iN, xB istatus = 0 iB = iB - 1 X = np.zeros((A.shape[1], 1)) X[iB] = xB eta = np.matmul(c, X) iB = iB + 1 return istatus, X, eta, iB, iN, xB if __name__ == "__main__": import numpy as np import random from simplex_method import simplex_method from simplex_test import simplex_test print("===============================") print("Test9.py") # first form an invertible matrix R = np.matrix([[4, 1, 1], [-1, 2, 1], [1, 1, -1]], dtype=np.float64) # form a vector b which is in the span of R b = R*np.matrix([[1], [2], [1]], dtype=np.float64) B = np.matrix([[1, 1, 1], [1, 1, 0], [1, 0, 0]], dtype=np.float64) A = np.hstack((R, B)) # form a random permutation # p = list(range(0, 6)) # random.shuffle(p) # A = A[:, p] c = np.matrix([[-2, 1, 1, -1, -1, -1]], dtype=np.float64) #c = c[:, p] # test irule = 0 [istatus, X, eta, iB, iN, xB] = simplex_method(A, b, c, irule) print(X, eta, iB, iN, xB) # return if (istatus != 0): print('istatus is wrong\n') [X, eta, isfeasible, isoptimal, zN] = simplex_test(A, b, c, iB, xB) if (isfeasible != 1): print('your solution is not feasible!!!\n') if (isoptimal != 1): print('your solution is not optimal!!!\n') print("===============================") print("Test10.py") R = np.matrix([[4, 1, 1], [1, 2, 1], [1, 1, 1]], dtype=np.float64) # form a vector b which is in the span of R b = R*np.matrix([[1], [-4], [-1]], dtype=np.float64) B = np.matrix([[1, 1, 1], [1, 1, 0], [1, 0, 0]], dtype=np.float64) A = np.hstack((R, B)) c = np.matrix([[-2, 1, 1, -1, -1, -1]], dtype=np.float64) irule = 1 [istatus, X, eta, iB, iN, xB] = simplex_method(A, b, c, irule) if (istatus != 4): print('istatus is wrong\n') print("===============================") # print("Test11.py") # A1 = np.matrix([[-1, 1, 2], # [-1, 1, 1], # [0, 1, 1]], dtype=np.float64) # A = np.hstack((np.eye(3), A1)) # b = np.matrix([[1], # [2], # [3]], dtype=np.float64) # iB = [1, 2, 3] # iN = [4, 5, 6] # xB = np.matrix(np.copy(b)) # c = np.matrix([[0, 0, 0, -1, 2, 1]], dtype=np.float64) # # form an invertible matrix B and modify the problem # B = np.matrix([[4, 1, 0], # [1, -2, -1], # [1, 2, 4]], dtype=np.float64) # A = B*A # b = B*b # # modify c # N = A[:, [index_N-1 for index_N in iN]] # c1 = np.matrix([[1, 1, 0]], dtype=np.float64) # c2 = c[:, (4-1):6]+c1*B.I*N # c = np.hstack((c1, c2)) # irule = 0 # [istatus, X, eta, iB, iN, xB] = simplex_method(A, b, c, irule) # if (istatus != 32): # print('istatus is wrong\n')

33.911197

103

0.53763

import numpy as np from simplex_step import simplex_step from simplex_init import find_negative_index def simplex_init_modified(A, b, c): A_new, b_new = A, b A_new[find_negative_index(b)] = -A[find_negative_index(b)] b_new[find_negative_index(b)] = -b[find_negative_index(b)] A_new = np.hstack((A_new, np.eye(b.shape[0]))) c_phase_I = np.zeros(A_new.shape[1]).reshape(1, -1) c_phase_I[0, c.shape[1]:] = np.ones(b.shape[0]) iB = np.arange(c.shape[1], c.shape[1] + b.shape[0]) + 1 iN = np.arange(0, c.shape[1]) + 1 xB = np.matrix(np.copy(b)) istatus_step = 1000 while istatus_step != -1: try: istatus_step, iB, iN, xB, Binv = simplex_step(A_new, b_new, c_phase_I, iB, iN, xB, irule=0) except np.linalg.LinAlgError: raise ValueError("iB cannot form a basis!") if istatus_step == 16: istatus, iB, iN, xB, tableau = 4, None, None, None, None return istatus, iB, iN, xB iB = iB - 1 optimal_cost = np.matmul(c_phase_I[0, iB].reshape(1, -2), xB) if optimal_cost > 0: istatus, iB, iN, xB, tableau = 16, None, None, None, None return istatus, iB, iN, xB if optimal_cost == 0: istatus = 0 artificial_idx = np.arange(c.shape[1], c.shape[1] + b.shape[0]) artificial_in_basis = np.intersect1d(artificial_idx, iB) tableau = np.matmul(Binv, A_new) if len(artificial_in_basis) == 0: return istatus, iB+1, iN, xB, tableau[:, 0:A.shape[1]] else: for xl in artificial_in_basis: row_l = tableau[np.where(iB == xl), :c.shape[1]] if np.sum(row_l) == 0: tableau = np.delete(tableau, np.where(iB == xl), axis=0) xB = np.delete(xB, np.where(iB == xl)) iB = np.delete(iB, np.where(iB == xl)) iN = np.setdiff1d(range(c.shape[1]), iB) iB = iB + 1 iN = iN + 1 xB = xB.reshape(-1, 1) return istatus, iB, iN, xB, tableau[:, 0:A.shape[1]] def simplex_method(A, b, c, irule): init_status, iB, iN, xB, tableau = simplex_init_modified(A, b, c) if init_status == 4: istatus, X, eta, iB, iN, xB = 16, None, None, None, None, None return istatus, X, eta, iB, iN, xB elif init_status == 16: istatus, X, eta, iB, iN, xB = 4, None, None, None, None, None return istatus, X, eta, iB, iN, xB else: istatus_step = 1000 while istatus_step != -1: istatus_step, iB, iN, xB, _ = simplex_step(tableau, xB, c, iB, iN, xB, irule=1) if istatus_step == 16: istatus, X, iB, iN, xB = 32, None, None, None, None return istatus, X, eta, iB, iN, xB istatus = 0 iB = iB - 1 X = np.zeros((A.shape[1], 1)) X[iB] = xB eta = np.matmul(c, X) iB = iB + 1 return istatus, X, eta, iB, iN, xB if __name__ == "__main__": import numpy as np import random from simplex_method import simplex_method from simplex_test import simplex_test print("===============================") print("Test9.py") R = np.matrix([[4, 1, 1], [-1, 2, 1], [1, 1, -1]], dtype=np.float64) b = R*np.matrix([[1], [2], [1]], dtype=np.float64) B = np.matrix([[1, 1, 1], [1, 1, 0], [1, 0, 0]], dtype=np.float64) A = np.hstack((R, B)) c = np.matrix([[-2, 1, 1, -1, -1, -1]], dtype=np.float64) irule = 0 [istatus, X, eta, iB, iN, xB] = simplex_method(A, b, c, irule) print(X, eta, iB, iN, xB) if (istatus != 0): print('istatus is wrong\n') [X, eta, isfeasible, isoptimal, zN] = simplex_test(A, b, c, iB, xB) if (isfeasible != 1): print('your solution is not feasible!!!\n') if (isoptimal != 1): print('your solution is not optimal!!!\n') print("===============================") print("Test10.py") R = np.matrix([[4, 1, 1], [1, 2, 1], [1, 1, 1]], dtype=np.float64) b = R*np.matrix([[1], [-4], [-1]], dtype=np.float64) B = np.matrix([[1, 1, 1], [1, 1, 0], [1, 0, 0]], dtype=np.float64) A = np.hstack((R, B)) c = np.matrix([[-2, 1, 1, -1, -1, -1]], dtype=np.float64) irule = 1 [istatus, X, eta, iB, iN, xB] = simplex_method(A, b, c, irule) if (istatus != 4): print('istatus is wrong\n') print("===============================")

true

f7fc2c021871825be461fbdcec2936578f595635

13,443

py

Python

components/isceobj/Alos2Proc/runDenseOffset.py

falkamelung/isce2

edea69d4b6216f4ac729eba78f12547807a2751a

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

1

2019-10-06T12:21:02.000Z

components/isceobj/Alos2Proc/runDenseOffset.py

stoormgeo/isce2

d22bf1048ff0f7a077981ea4fbe8e0e6bc563961

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

null

components/isceobj/Alos2Proc/runDenseOffset.py

stoormgeo/isce2

d22bf1048ff0f7a077981ea4fbe8e0e6bc563961

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

1

2021-06-05T16:39:25.000Z

# # Author: Cunren Liang # Copyright 2015-present, NASA-JPL/Caltech # import os import logging import numpy as np import isceobj from isceobj.Util.decorators import use_api logger = logging.getLogger('isce.alos2insar.runDenseOffset') def runDenseOffset(self): '''estimate offset fied ''' if not self.doDenseOffset: return if not ((self._insar.modeCombination == 0) or (self._insar.modeCombination == 1)): return catalog = isceobj.Catalog.createCatalog(self._insar.procDoc.name) self.updateParamemetersFromUser() denseOffsetDir = 'dense_offset' os.makedirs(denseOffsetDir, exist_ok=True) os.chdir(denseOffsetDir) #masterTrack = self._insar.loadProduct(self._insar.masterTrackParameter) #slaveTrack = self._insar.loadProduct(self._insar.slaveTrackParameter) ######################################################################################### if self.useGPU and self._insar.hasGPU(): runDenseOffsetGPU(self) #define null value. Lijun said there is actually no such null value in GPU ampcor. nullValue = -10000.0 else: runDenseOffsetCPU(self) #define null value nullValue = -10000.0 #null value set to zero img = isceobj.createImage() img.load(self._insar.denseOffset+'.xml') width = img.width length = img.length offset=np.memmap(self._insar.denseOffset, dtype='float32', mode='r+', shape=(length*2, width)) snr=np.memmap(self._insar.denseOffsetSnr, dtype='float32', mode='r+', shape=(length, width)) offsetband1 = offset[0:length*2:2, :] offsetband2 = offset[1:length*2:2, :] index = np.nonzero(np.logical_or(offsetband1==nullValue, offsetband2==nullValue)) offsetband1[index] = 0 offsetband2[index] = 0 snr[index] = 0 del offset, offsetband1, offsetband2, snr #areas covered by water body set to zero if self.maskOffsetWithWbd: img = isceobj.createImage() img.load('wbd.rdr.xml') width0 = img.width length0 = img.length img = isceobj.createImage() img.load(self._insar.denseOffset+'.xml') width = img.width length = img.length #get water body mask wbd0=np.memmap('wbd.rdr', dtype=np.int8, mode='r', shape=(length0, width0)) wbd0=wbd0[0+self._insar.offsetImageTopoffset:length0:self.offsetSkipHeight, 0+self._insar.offsetImageLeftoffset:width0:self.offsetSkipWidth] wbd = np.zeros((length+100, width+100), dtype=np.int8) wbd[0:wbd0.shape[0], 0:wbd0.shape[1]]=wbd0 #mask offset and snr offset=np.memmap(self._insar.denseOffset, dtype='float32', mode='r+', shape=(length*2, width)) snr=np.memmap(self._insar.denseOffsetSnr, dtype='float32', mode='r+', shape=(length, width)) (offset[0:length*2:2, :])[np.nonzero(wbd[0:length, 0:width]==-1)]=0 (offset[1:length*2:2, :])[np.nonzero(wbd[0:length, 0:width]==-1)]=0 snr[np.nonzero(wbd[0:length, 0:width]==-1)]=0 del wbd0, wbd, offset, snr ######################################################################################### os.chdir('../') catalog.printToLog(logger, "runDenseOffset") self._insar.procDoc.addAllFromCatalog(catalog) #@use_api def runDenseOffsetCPU(self): ''' Estimate dense offset field between a pair of SLCs. ''' from mroipac.ampcor.DenseAmpcor import DenseAmpcor from isceobj.Alos2Proc.Alos2ProcPublic import runCmd ####For this module currently, we need to create an actual file on disk for infile in [self._insar.masterSlc, self._insar.slaveSlcCoregistered]: if os.path.isfile(infile): continue cmd = 'gdal_translate -of ENVI {0}.vrt {0}'.format(infile) runCmd(cmd) m = isceobj.createSlcImage() m.load(self._insar.masterSlc + '.xml') m.setAccessMode('READ') s = isceobj.createSlcImage() s.load(self._insar.slaveSlcCoregistered + '.xml') s.setAccessMode('READ') #objOffset.numberThreads = 1 print('\n************* dense offset estimation parameters *************') print('master SLC: %s' % (self._insar.masterSlc)) print('slave SLC: %s' % (self._insar.slaveSlcCoregistered)) print('dense offset estimation window width: %d' % (self.offsetWindowWidth)) print('dense offset estimation window hight: %d' % (self.offsetWindowHeight)) print('dense offset search window width: %d' % (self.offsetSearchWindowWidth)) print('dense offset search window hight: %d' % (self.offsetSearchWindowHeight)) print('dense offset skip width: %d' % (self.offsetSkipWidth)) print('dense offset skip hight: %d' % (self.offsetSkipHeight)) print('dense offset covariance surface oversample factor: %d' % (self.offsetCovarianceOversamplingFactor)) print('dense offset covariance surface oversample window size: %d\n' % (self.offsetCovarianceOversamplingWindowsize)) objOffset = DenseAmpcor(name='dense') objOffset.configure() if m.dataType.startswith('C'): objOffset.setImageDataType1('complex') else: objOffset.setImageDataType1('real') if s.dataType.startswith('C'): objOffset.setImageDataType2('complex') else: objOffset.setImageDataType2('real') objOffset.offsetImageName = self._insar.denseOffset objOffset.snrImageName = self._insar.denseOffsetSnr objOffset.covImageName = self._insar.denseOffsetCov objOffset.setWindowSizeWidth(self.offsetWindowWidth) objOffset.setWindowSizeHeight(self.offsetWindowHeight) #NOTE: actual number of resulting correlation pixels: self.offsetSearchWindowWidth*2+1 objOffset.setSearchWindowSizeWidth(self.offsetSearchWindowWidth) objOffset.setSearchWindowSizeHeight(self.offsetSearchWindowHeight) objOffset.setSkipSampleAcross(self.offsetSkipWidth) objOffset.setSkipSampleDown(self.offsetSkipHeight) objOffset.setOversamplingFactor(self.offsetCovarianceOversamplingFactor) objOffset.setZoomWindowSize(self.offsetCovarianceOversamplingWindowsize) objOffset.setAcrossGrossOffset(0) objOffset.setDownGrossOffset(0) #these are azimuth scaling factor #Matching Scale for Sample/Line Directions (-) = 1.000000551500 1.000002373200 objOffset.setFirstPRF(1.0) objOffset.setSecondPRF(1.0) objOffset.denseampcor(m, s) ### Store params for later self._insar.offsetImageTopoffset = objOffset.locationDown[0][0] self._insar.offsetImageLeftoffset = objOffset.locationAcross[0][0] #change band order width=objOffset.offsetCols length=objOffset.offsetLines offset1 = np.fromfile(self._insar.denseOffset, dtype=np.float32).reshape(length*2, width) offset2 = np.zeros((length*2, width), dtype=np.float32) offset2[0:length*2:2, :] = offset1[1:length*2:2, :] offset2[1:length*2:2, :] = offset1[0:length*2:2, :] os.remove(self._insar.denseOffset) os.remove(self._insar.denseOffset+'.vrt') os.remove(self._insar.denseOffset+'.xml') offset2.astype(np.float32).tofile(self._insar.denseOffset) outImg = isceobj.createImage() outImg.setDataType('FLOAT') outImg.setFilename(self._insar.denseOffset) outImg.setBands(2) outImg.scheme = 'BIL' outImg.setWidth(width) outImg.setLength(length) outImg.addDescription('two-band pixel offset file. 1st band: range offset, 2nd band: azimuth offset') outImg.setAccessMode('read') outImg.renderHdr() return (objOffset.offsetCols, objOffset.offsetLines) def runDenseOffsetGPU(self): ''' Estimate dense offset field between a pair of SLCs. ''' from contrib.PyCuAmpcor import PyCuAmpcor from isceobj.Alos2Proc.Alos2ProcPublic import runCmd from isceobj.Alos2Proc.Alos2ProcPublic import create_xml ############################################################################################ # #different from minyan's script: cuDenseOffsets.py: deramp method (0: mag, 1: complex) # objOffset.derampMethod = 2 # # #varying-gross-offset parameters not set # #not set in minyan's script: cuDenseOffsets.py # objOffset.corrSurfaceZoomInWindow # objOffset.grossOffsetAcrossStatic = 0 # objOffset.grossOffsetDownStatic = 0 ############################################################################################ ####For this module currently, we need to create an actual file on disk for infile in [self._insar.masterSlc, self._insar.slaveSlcCoregistered]: if os.path.isfile(infile): continue cmd = 'gdal_translate -of ENVI {0}.vrt {0}'.format(infile) runCmd(cmd) m = isceobj.createSlcImage() m.load(self._insar.masterSlc + '.xml') m.setAccessMode('READ') s = isceobj.createSlcImage() s.load(self._insar.slaveSlcCoregistered + '.xml') s.setAccessMode('READ') print('\n************* dense offset estimation parameters *************') print('master SLC: %s' % (self._insar.masterSlc)) print('slave SLC: %s' % (self._insar.slaveSlcCoregistered)) print('dense offset estimation window width: %d' % (self.offsetWindowWidth)) print('dense offset estimation window hight: %d' % (self.offsetWindowHeight)) print('dense offset search window width: %d' % (self.offsetSearchWindowWidth)) print('dense offset search window hight: %d' % (self.offsetSearchWindowHeight)) print('dense offset skip width: %d' % (self.offsetSkipWidth)) print('dense offset skip hight: %d' % (self.offsetSkipHeight)) print('dense offset covariance surface oversample factor: %d' % (self.offsetCovarianceOversamplingFactor)) print('dense offset covariance surface oversample window size: %d\n' % (self.offsetCovarianceOversamplingWindowsize)) objOffset = PyCuAmpcor.PyCuAmpcor() objOffset.algorithm = 0 objOffset.deviceID = -1 objOffset.nStreams = 2 #original ampcor program in roi_pac uses phase gradient to deramp objOffset.derampMethod = 2 objOffset.masterImageName = self._insar.masterSlc objOffset.masterImageHeight = m.length objOffset.masterImageWidth = m.width objOffset.slaveImageName = self._insar.slaveSlcCoregistered objOffset.slaveImageHeight = s.length objOffset.slaveImageWidth = s.width objOffset.offsetImageName = self._insar.denseOffset objOffset.snrImageName = self._insar.denseOffsetSnr objOffset.windowSizeWidth = self.offsetWindowWidth objOffset.windowSizeHeight = self.offsetWindowHeight #objOffset.halfSearchRangeAcross = int(self.offsetSearchWindowWidth / 2 + 0.5) #objOffset.halfSearchRangeDown = int(self.offsetSearchWindowHeight / 2 + 0.5) objOffset.halfSearchRangeAcross = self.offsetSearchWindowWidth objOffset.halfSearchRangeDown = self.offsetSearchWindowHeight objOffset.skipSampleDown = self.offsetSkipHeight objOffset.skipSampleAcross = self.offsetSkipWidth #Oversampling method for correlation surface(0=fft,1=sinc) objOffset.corrSufaceOverSamplingMethod = 0 objOffset.corrSurfaceOverSamplingFactor = self.offsetCovarianceOversamplingFactor objOffset.corrSurfaceZoomInWindow = self.offsetCovarianceOversamplingWindowsize objOffset.grossOffsetAcrossStatic = 0 objOffset.grossOffsetDownStatic = 0 objOffset.masterStartPixelDownStatic = self.offsetWindowHeight//2 objOffset.masterStartPixelAcrossStatic = self.offsetWindowWidth//2 objOffset.numberWindowDown = (m.length - 2*self.offsetSearchWindowHeight - self.offsetWindowHeight) // self.offsetSkipHeight objOffset.numberWindowAcross = (m.width - 2*self.offsetSearchWindowWidth - self.offsetWindowWidth) // self.offsetSkipWidth # generic control objOffset.numberWindowDownInChunk = 8 objOffset.numberWindowAcrossInChunk = 8 objOffset.mmapSize = 16 objOffset.setupParams() objOffset.setConstantGrossOffset(0, 0) objOffset.checkPixelInImageRange() objOffset.runAmpcor() ### Store params for later self._insar.offsetImageTopoffset = objOffset.halfSearchRangeDown self._insar.offsetImageLeftoffset = objOffset.halfSearchRangeAcross width = objOffset.numberWindowAcross length = objOffset.numberWindowDown offsetBIP = np.fromfile(objOffset.offsetImageName.decode('utf-8'), dtype=np.float32).reshape(length, width*2) offsetBIL = np.zeros((length*2, width), dtype=np.float32) offsetBIL[0:length*2:2, :] = offsetBIP[:, 1:width*2:2] offsetBIL[1:length*2:2, :] = offsetBIP[:, 0:width*2:2] os.remove(objOffset.offsetImageName.decode('utf-8')) offsetBIL.astype(np.float32).tofile(objOffset.offsetImageName.decode('utf-8')) outImg = isceobj.createImage() outImg.setDataType('FLOAT') outImg.setFilename(objOffset.offsetImageName.decode('utf-8')) outImg.setBands(2) outImg.scheme = 'BIL' outImg.setWidth(objOffset.numberWindowAcross) outImg.setLength(objOffset.numberWindowDown) outImg.addDescription('two-band pixel offset file. 1st band: range offset, 2nd band: azimuth offset') outImg.setAccessMode('read') outImg.renderHdr() snrImg = isceobj.createImage() snrImg.setFilename( objOffset.snrImageName.decode('utf8')) snrImg.setDataType('FLOAT') snrImg.setBands(1) snrImg.setWidth(objOffset.numberWindowAcross) snrImg.setLength(objOffset.numberWindowDown) snrImg.setAccessMode('read') snrImg.renderHdr() return (objOffset.numberWindowAcross, objOffset.numberWindowDown)

41.110092

128

0.698877

import os import logging import numpy as np import isceobj from isceobj.Util.decorators import use_api logger = logging.getLogger('isce.alos2insar.runDenseOffset') def runDenseOffset(self): if not self.doDenseOffset: return if not ((self._insar.modeCombination == 0) or (self._insar.modeCombination == 1)): return catalog = isceobj.Catalog.createCatalog(self._insar.procDoc.name) self.updateParamemetersFromUser() denseOffsetDir = 'dense_offset' os.makedirs(denseOffsetDir, exist_ok=True) os.chdir(denseOffsetDir)

true

f7fc2c0369f5b6e48d82f6f6d0d140600bdcd85d

2,337

py

Python

test/functional/p2p_timeouts.py

Cobra-Technologies-GmbH/PIVX

9c45238847a9afe4d6bb3fca4af5a876ed52b72f

[ "MIT" ]

null

test/functional/p2p_timeouts.py

Cobra-Technologies-GmbH/PIVX

9c45238847a9afe4d6bb3fca4af5a876ed52b72f

[ "MIT" ]

null

test/functional/p2p_timeouts.py

Cobra-Technologies-GmbH/PIVX

9c45238847a9afe4d6bb3fca4af5a876ed52b72f

[ "MIT" ]

null

#!/usr/bin/env python3 # Copyright (c) 2016-2017 The Bitcoin Core developers # Distributed under the MIT software license, see the accompanying # file COPYING or http://www.opensource.org/licenses/mit-license.php. """Test various net timeouts. - Create three omegacoind nodes: no_verack_node - we never send a verack in response to their version no_version_node - we never send a version (only a ping) no_send_node - we never send any P2P message. - Start all three nodes - Wait 1 second - Assert that we're connected - Send a ping to no_verack_node and no_version_node - Wait 30 seconds - Assert that we're still connected - Send a ping to no_verack_node and no_version_node - Wait 31 seconds - Assert that we're no longer connected (timeout to receive version/verack is 60 seconds) """ from time import sleep from test_framework.mininode import * from test_framework.test_framework import OmegacoinTestFramework from test_framework.util import * class TestNode(P2PInterface): def on_version(self, message): # Don't send a verack in response pass class TimeoutsTest(OmegacoinTestFramework): def set_test_params(self): self.setup_clean_chain = True self.num_nodes = 1 def run_test(self): # Setup the p2p connections and start up the network thread. no_verack_node = self.nodes[0].add_p2p_connection(TestNode()) no_version_node = self.nodes[0].add_p2p_connection(TestNode(), send_version=False) no_send_node = self.nodes[0].add_p2p_connection(TestNode(), send_version=False) network_thread_start() sleep(1) assert no_verack_node.connected assert no_version_node.connected assert no_send_node.connected no_verack_node.send_message(msg_ping()) no_version_node.send_message(msg_ping()) sleep(30) assert "version" in no_verack_node.last_message assert no_verack_node.connected assert no_version_node.connected assert no_send_node.connected no_verack_node.send_message(msg_ping()) no_version_node.send_message(msg_ping()) sleep(31) assert not no_verack_node.connected assert not no_version_node.connected assert not no_send_node.connected if __name__ == '__main__': TimeoutsTest().main()

30.75

90

0.725717

from time import sleep from test_framework.mininode import * from test_framework.test_framework import OmegacoinTestFramework from test_framework.util import * class TestNode(P2PInterface): def on_version(self, message): pass class TimeoutsTest(OmegacoinTestFramework): def set_test_params(self): self.setup_clean_chain = True self.num_nodes = 1 def run_test(self): # Setup the p2p connections and start up the network thread. no_verack_node = self.nodes[0].add_p2p_connection(TestNode()) no_version_node = self.nodes[0].add_p2p_connection(TestNode(), send_version=False) no_send_node = self.nodes[0].add_p2p_connection(TestNode(), send_version=False) network_thread_start() sleep(1) assert no_verack_node.connected assert no_version_node.connected assert no_send_node.connected no_verack_node.send_message(msg_ping()) no_version_node.send_message(msg_ping()) sleep(30) assert "version" in no_verack_node.last_message assert no_verack_node.connected assert no_version_node.connected assert no_send_node.connected no_verack_node.send_message(msg_ping()) no_version_node.send_message(msg_ping()) sleep(31) assert not no_verack_node.connected assert not no_version_node.connected assert not no_send_node.connected if __name__ == '__main__': TimeoutsTest().main()

true

f7fc2cb73005badb747640938abbef8f07a1fa80

1,366

py

Python

beastx/modules/chit_chat.py

Digasi123percy/Beast-X

cf2c47db6af0c4afaa3b51b76ef7a1a2f0e0bc81

[ "MIT" ]

11

2021-11-07T12:04:20.000Z

2022-03-10T10:32:59.000Z

beastx/modules/chit_chat.py

Digasi123percy/Beast-X

cf2c47db6af0c4afaa3b51b76ef7a1a2f0e0bc81

[ "MIT" ]

null

beastx/modules/chit_chat.py

Digasi123percy/Beast-X

cf2c47db6af0c4afaa3b51b76ef7a1a2f0e0bc81

[ "MIT" ]

114

2021-11-07T13:11:19.000Z

2022-03-31T02:00:04.000Z

from . import * import asyncio import datetime from datetime import datetime from telethon import events from telethon.tl import functions, types from beastx import CMD_HELP, lang @beast.on(beastx_cmd(pattern="hello")) async def hello(bst): await bst.edit(''' ╔┓┏╦━╦┓╔┓╔━━╗ ║┗┛║┗╣┃║┃║X X║ ║┏┓║┏╣┗╣┗╣╰╯║ ╚┛┗╩━╩━╩━╩━━╝ ''') @beast.on(beastx_cmd(pattern="hi ?(.*)")) async def hi(event): giveVar = event.text ult = giveVar[4:5] if not ult: ult = "🌺" await edit_or_reply( event, f"{ult}✨✨{ult}✨{ult}{ult}{ult}\n{ult}✨✨{ult}✨✨{ult}✨\n{ult}{ult}{ult}{ult}✨✨{ult}✨\n{ult}✨✨{ult}✨✨{ult}✨\n{ult}✨✨{ult}✨{ult}{ult}{ult}\n☁️☁️☁️☁️☁️☁️☁️☁️", ) @beast.on(beastx_cmd(pattern="okboss")) async def okboss(ult): await ult.edit("OK FUCKER") await ult.edit("OK BITCH") await ult.edit("OK GAY") await ult.edit("OK SIR") await ult.edit("OK MADAM") await ult.edit("OK BOSS! 😇") @beast.on(beastx_cmd(pattern="pprank")) async def pprank(ult): if not ult.text[0].isalpha() and ult.text[0] not in ("/", "#", "@", "!"): await ult.edit("PROMOTING USER..*") await asyncio.sleep(1) await ult.edit("PROMOTING USER...") await asyncio.sleep(1) await ult.edit("GIVING RIGHTS") await asyncio.sleep(1) await ult.edit("PROMOTED USER SUCCESSFULLY")

22.032258

162

0.573939

from . import * import asyncio import datetime from datetime import datetime from telethon import events from telethon.tl import functions, types from beastx import CMD_HELP, lang @beast.on(beastx_cmd(pattern="hello")) async def hello(bst): await bst.edit(''' ╔┓┏╦━╦┓╔┓╔━━╗ ║┗┛║┗╣┃║┃║X X║ ║┏┓║┏╣┗╣┗╣╰╯║ ╚┛┗╩━╩━╩━╩━━╝ ''') @beast.on(beastx_cmd(pattern="hi ?(.*)")) async def hi(event): giveVar = event.text ult = giveVar[4:5] if not ult: ult = "🌺" await edit_or_reply( event, f"{ult}✨✨{ult}✨{ult}{ult}{ult}\n{ult}✨✨{ult}✨✨{ult}✨\n{ult}{ult}{ult}{ult}✨✨{ult}✨\n{ult}✨✨{ult}✨✨{ult}✨\n{ult}✨✨{ult}✨{ult}{ult}{ult}\n☁️☁️☁️☁️☁️☁️☁️☁️", ) @beast.on(beastx_cmd(pattern="okboss")) async def okboss(ult): await ult.edit("OK FUCKER") await ult.edit("OK BITCH") await ult.edit("OK GAY") await ult.edit("OK SIR") await ult.edit("OK MADAM") await ult.edit("OK BOSS! 😇") @beast.on(beastx_cmd(pattern="pprank")) async def pprank(ult): if not ult.text[0].isalpha() and ult.text[0] not in ("/", "#", "@", "!"): await ult.edit("PROMOTING USER..*") await asyncio.sleep(1) await ult.edit("PROMOTING USER...") await asyncio.sleep(1) await ult.edit("GIVING RIGHTS") await asyncio.sleep(1) await ult.edit("PROMOTED USER SUCCESSFULLY")

true

f7fc2d12888c352cbb1d863e6fc52d0033ebd74f

4,879

py

Python

env/lib/python2.7/site-packages/pip-1.1-py2.7.egg/pip/vcs/bazaar.py

diego-d5000/MisValesMd

b641782bc2546776e9f55f452ec7fb48100dc482

[ "MIT" ]

null

env/lib/python2.7/site-packages/pip-1.1-py2.7.egg/pip/vcs/bazaar.py

diego-d5000/MisValesMd

b641782bc2546776e9f55f452ec7fb48100dc482

[ "MIT" ]

null

env/lib/python2.7/site-packages/pip-1.1-py2.7.egg/pip/vcs/bazaar.py

diego-d5000/MisValesMd

b641782bc2546776e9f55f452ec7fb48100dc482

[ "MIT" ]

null

import os import tempfile import re from pip import call_subprocess from pip.backwardcompat import urlparse from pip.log import logger from pip.util import rmtree, display_path from pip.vcs import vcs, VersionControl from pip.download import path_to_url2 class Bazaar(VersionControl): name = 'bzr' dirname = '.bzr' repo_name = 'branch' bundle_file = 'bzr-branch.txt' schemes = ('bzr', 'bzr+http', 'bzr+https', 'bzr+ssh', 'bzr+sftp', 'bzr+ftp', 'bzr+lp') guide = ('# This was a Bazaar branch; to make it a branch again run:\n' 'bzr branch -r %(rev)s %(url)s .\n') def __init__(self, url=None, *args, **kwargs): super(Bazaar, self).__init__(url, *args, **kwargs) urlparse.non_hierarchical.extend(['lp']) urlparse.uses_fragment.extend(['lp']) def parse_vcs_bundle_file(self, content): url = rev = None for line in content.splitlines(): if not line.strip() or line.strip().startswith('#'): continue match = re.search(r'^bzr\s*branch\s*-r\s*(\d*)', line) if match: rev = match.group(1).strip() url = line[match.end():].strip().split(None, 1)[0] if url and rev: return url, rev return None, None def export(self, location): """Export the Bazaar repository at the url to the destination location""" temp_dir = tempfile.mkdtemp('-export', 'pip-') self.unpack(temp_dir) if os.path.exists(location): # Remove the location to make sure Bazaar can export it correctly rmtree(location) try: call_subprocess([self.cmd, 'export', location], cwd=temp_dir, filter_stdout=self._filter, show_stdout=False) finally: rmtree(temp_dir) def switch(self, dest, url, rev_options): call_subprocess([self.cmd, 'switch', url], cwd=dest) def update(self, dest, rev_options): call_subprocess( [self.cmd, 'pull', '-q'] + rev_options, cwd=dest) def obtain(self, dest): url, rev = self.get_url_rev() if rev: rev_options = ['-r', rev] rev_display = ' (to revision %s)' % rev else: rev_options = [] rev_display = '' if self.check_destination(dest, url, rev_options, rev_display): logger.notify('Checking out %s%s to %s' % (url, rev_display, display_path(dest))) call_subprocess( [self.cmd, 'branch', '-q'] + rev_options + [url, dest]) def get_url_rev(self): # hotfix the URL scheme after removing bzr+ from bzr+ssh:// readd it url, rev = super(Bazaar, self).get_url_rev() if url.startswith('ssh://'): url = 'bzr+' + url return url, rev def get_url(self, location): urls = call_subprocess( [self.cmd, 'info'], show_stdout=False, cwd=location) for line in urls.splitlines(): line = line.strip() for x in ('checkout of branch: ', 'parent branch: '): if line.startswith(x): repo = line.split(x)[1] if self._is_local_repository(repo): return path_to_url2(repo) return repo return None def get_revision(self, location): revision = call_subprocess( [self.cmd, 'revno'], show_stdout=False, cwd=location) return revision.splitlines()[-1] def get_tag_revs(self, location): tags = call_subprocess( [self.cmd, 'tags'], show_stdout=False, cwd=location) tag_revs = [] for line in tags.splitlines(): tags_match = re.search(r'([.\w-]+)\s*(.*)$', line) if tags_match: tag = tags_match.group(1) rev = tags_match.group(2) tag_revs.append((rev.strip(), tag.strip())) return dict(tag_revs) def get_src_requirement(self, dist, location, find_tags): repo = self.get_url(location) if not repo.lower().startswith('bzr:'): repo = 'bzr+' + repo egg_project_name = dist.egg_name().split('-', 1)[0] if not repo: return None current_rev = self.get_revision(location) tag_revs = self.get_tag_revs(location) if current_rev in tag_revs: # It's a tag full_egg_name = '%s-%s' % (egg_project_name, tag_revs[current_rev]) else: full_egg_name = '%s-dev_r%s' % (dist.egg_name(), current_rev) return '%s@%s#egg=%s' % (repo, current_rev, full_egg_name) vcs.register(Bazaar)

37.530769

91

0.548473

import os import tempfile import re from pip import call_subprocess from pip.backwardcompat import urlparse from pip.log import logger from pip.util import rmtree, display_path from pip.vcs import vcs, VersionControl from pip.download import path_to_url2 class Bazaar(VersionControl): name = 'bzr' dirname = '.bzr' repo_name = 'branch' bundle_file = 'bzr-branch.txt' schemes = ('bzr', 'bzr+http', 'bzr+https', 'bzr+ssh', 'bzr+sftp', 'bzr+ftp', 'bzr+lp') guide = ('# This was a Bazaar branch; to make it a branch again run:\n' 'bzr branch -r %(rev)s %(url)s .\n') def __init__(self, url=None, *args, **kwargs): super(Bazaar, self).__init__(url, *args, **kwargs) urlparse.non_hierarchical.extend(['lp']) urlparse.uses_fragment.extend(['lp']) def parse_vcs_bundle_file(self, content): url = rev = None for line in content.splitlines(): if not line.strip() or line.strip().startswith('#'): continue match = re.search(r'^bzr\s*branch\s*-r\s*(\d*)', line) if match: rev = match.group(1).strip() url = line[match.end():].strip().split(None, 1)[0] if url and rev: return url, rev return None, None def export(self, location): temp_dir = tempfile.mkdtemp('-export', 'pip-') self.unpack(temp_dir) if os.path.exists(location): rmtree(location) try: call_subprocess([self.cmd, 'export', location], cwd=temp_dir, filter_stdout=self._filter, show_stdout=False) finally: rmtree(temp_dir) def switch(self, dest, url, rev_options): call_subprocess([self.cmd, 'switch', url], cwd=dest) def update(self, dest, rev_options): call_subprocess( [self.cmd, 'pull', '-q'] + rev_options, cwd=dest) def obtain(self, dest): url, rev = self.get_url_rev() if rev: rev_options = ['-r', rev] rev_display = ' (to revision %s)' % rev else: rev_options = [] rev_display = '' if self.check_destination(dest, url, rev_options, rev_display): logger.notify('Checking out %s%s to %s' % (url, rev_display, display_path(dest))) call_subprocess( [self.cmd, 'branch', '-q'] + rev_options + [url, dest]) def get_url_rev(self): url, rev = super(Bazaar, self).get_url_rev() if url.startswith('ssh://'): url = 'bzr+' + url return url, rev def get_url(self, location): urls = call_subprocess( [self.cmd, 'info'], show_stdout=False, cwd=location) for line in urls.splitlines(): line = line.strip() for x in ('checkout of branch: ', 'parent branch: '): if line.startswith(x): repo = line.split(x)[1] if self._is_local_repository(repo): return path_to_url2(repo) return repo return None def get_revision(self, location): revision = call_subprocess( [self.cmd, 'revno'], show_stdout=False, cwd=location) return revision.splitlines()[-1] def get_tag_revs(self, location): tags = call_subprocess( [self.cmd, 'tags'], show_stdout=False, cwd=location) tag_revs = [] for line in tags.splitlines(): tags_match = re.search(r'([.\w-]+)\s*(.*)$', line) if tags_match: tag = tags_match.group(1) rev = tags_match.group(2) tag_revs.append((rev.strip(), tag.strip())) return dict(tag_revs) def get_src_requirement(self, dist, location, find_tags): repo = self.get_url(location) if not repo.lower().startswith('bzr:'): repo = 'bzr+' + repo egg_project_name = dist.egg_name().split('-', 1)[0] if not repo: return None current_rev = self.get_revision(location) tag_revs = self.get_tag_revs(location) if current_rev in tag_revs: full_egg_name = '%s-%s' % (egg_project_name, tag_revs[current_rev]) else: full_egg_name = '%s-dev_r%s' % (dist.egg_name(), current_rev) return '%s@%s vcs.register(Bazaar)

true

f7fc2dcd8c2529d52a66fc0a1dd81056e2124e8d

7,882

py

Python

stayclean-2019-may/update-google-chart.py

foobarbazblarg/stayclean

4cf78fd893edd7d493b7afdf9d1dc16416dc9d9d

[ "MIT" ]

1

2020-01-13T13:03:48.000Z

stayclean-2019-may/update-google-chart.py

foobarbazblarg/stayclean

4cf78fd893edd7d493b7afdf9d1dc16416dc9d9d

[ "MIT" ]

2

2021-04-06T18:40:31.000Z

2021-06-02T03:46:59.000Z

stayclean-2019-may/update-google-chart.py

foobarbazblarg/stayclean

4cf78fd893edd7d493b7afdf9d1dc16416dc9d9d

[ "MIT" ]

null

#!/usr/bin/python # TODO: issues with new oauth2 stuff. Keep using older version of Python for now. # #!/usr/bin/env python import json import gspread from oauth2client.client import SignedJwtAssertionCredentials import datetime from participantCollection import ParticipantCollection # Edit Me! participantFileNames = ['../stayclean-2014-november/participants.txt', '../stayclean-2014-december/participants.txt', '../stayclean-2015-january/participants.txt', '../stayclean-2015-february/participants.txt', '../stayclean-2015-march/participants.txt', '../stayclean-2015-april/participants.txt', '../stayclean-2015-may/participants.txt', '../stayclean-2015-june/participants.txt', '../stayclean-2015-july/participants.txt', '../stayclean-2015-august/participants.txt', '../stayclean-2015-september/participants.txt', '../stayclean-2015-october/participants.txt', '../stayclean-2015-november/participants.txt', '../stayclean-2015-december/participants.txt', '../stayclean-2016-january/participants.txt', '../stayclean-2016-february/participants.txt', '../stayclean-2016-march/participants.txt', '../stayclean-2016-april/participants.txt', '../stayclean-2016-may/participants.txt', '../stayclean-2016-june/participants.txt', '../stayclean-2016-july/participants.txt', '../stayclean-2016-august/participants.txt', '../stayclean-2016-september/participants.txt', '../stayclean-2016-october/participants.txt', '../stayclean-2016-november/participants.txt', '../stayclean-2016-december/participants.txt', '../stayclean-2017-january/participants.txt', '../stayclean-2017-february/participants.txt', '../stayclean-2017-march/participants.txt', '../stayclean-2017-april/participants.txt', '../stayclean-2017-may/participants.txt', '../stayclean-2017-june/participants.txt', '../stayclean-2017-july/participants.txt', '../stayclean-2017-august/participants.txt', '../stayclean-2017-september/participants.txt', '../stayclean-2017-october/participants.txt', '../stayclean-2017-november/participants.txt', '../stayclean-2017-december/participants.txt', '../stayclean-2018-january/participants.txt', '../stayclean-2018-february/participants.txt', '../stayclean-2018-march/participants.txt', '../stayclean-2018-april/participants.txt', '../stayclean-2018-may/participants.txt', '../stayclean-2018-june/participants.txt', '../stayclean-2018-july/participants.txt', '../stayclean-2018-august/participants.txt', '../stayclean-2018-september/participants.txt', '../stayclean-2018-october/participants.txt', '../stayclean-2018-november/participants.txt', '../stayclean-2018-december/participants.txt', '../stayclean-2019-january/participants.txt', '../stayclean-2019-february/participants.txt', '../stayclean-2019-march/participants.txt', '../stayclean-2019-april/participants.txt', './participants.txt'] sortedRelapseDates = [] for participantFileName in participantFileNames: participants = ParticipantCollection(fileNameString=participantFileName) sortedRelapseDates = sortedRelapseDates + participants.allRelapseDates() sortedRelapseDates.sort() earliestReportDate = sortedRelapseDates[0] latestReportDate = sortedRelapseDates[-1] reportDates = [] numberOfRelapsesPerDate = [] reportDatesAndNumberOfRelapses = {} dayOfWeekIndexesAndNumberOfInstances = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0} reportDate = earliestReportDate while reportDate <= latestReportDate: reportDatesAndNumberOfRelapses[reportDate] = 0 # dayOfWeekIndexesAndNumberOfInstances[reportDate.weekday()] = dayOfWeekIndexesAndNumberOfInstances[reportDate.weekday()] + 1 dayOfWeekIndexesAndNumberOfInstances[reportDate.weekday()] += 1 reportDate += datetime.timedelta(days=1) for relapseDate in sortedRelapseDates: # reportDatesAndNumberOfRelapses[relapseDate] = reportDatesAndNumberOfRelapses[relapseDate] + 1 reportDatesAndNumberOfRelapses[relapseDate] += 1 dayOfWeekIndexesAndTotalNumberOfRelapses = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0} for participantFileName in participantFileNames: participants = ParticipantCollection(fileNameString=participantFileName) # print participants.relapseDayOfWeekIndexesAndParticipants() for index, parts in participants.relapseDayOfWeekIndexesAndParticipants().iteritems(): # dayOfWeekIndexesAndTotalNumberOfRelapses[index] = dayOfWeekIndexesAndTotalNumberOfRelapses[index] + len(parts) dayOfWeekIndexesAndTotalNumberOfRelapses[index] += len(parts) dayOfWeekIndexesAndAverageNumberOfRelapses = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0} for index, instances in dayOfWeekIndexesAndNumberOfInstances.iteritems(): # dayOfWeekIndexesAndAverageNumberOfRelapses[index] = int(round(float(dayOfWeekIndexesAndTotalNumberOfRelapses[index]) / float(instances))) dayOfWeekIndexesAndAverageNumberOfRelapses[index] = float(dayOfWeekIndexesAndTotalNumberOfRelapses[index]) / float(instances) spreadsheetTitle = "StayClean monthly challenge relapse data" # spreadsheetTitle = "Test spreadsheet" json_key = json.load(open('../google-oauth-credentials.json')) scope = ['https://spreadsheets.google.com/feeds'] credentials = SignedJwtAssertionCredentials(json_key['client_email'], json_key['private_key'].encode(), scope) gc = gspread.authorize(credentials) spreadSheet = None try: spreadSheet = gc.open(spreadsheetTitle) except gspread.exceptions.SpreadsheetNotFound: print "No spreadsheet with title " + spreadsheetTitle exit(1) workSheet = spreadSheet.get_worksheet(0) columnACells = workSheet.range("A2:A" + str(len(reportDatesAndNumberOfRelapses) + 1)) columnBCells = workSheet.range("B2:B" + str(len(reportDatesAndNumberOfRelapses) + 1)) columnCCells = workSheet.range("C2:C8") columnDCells = workSheet.range("D2:D8") reportDate = earliestReportDate rowIndex = 0 while reportDate <= latestReportDate: columnACells[rowIndex].value = str(reportDate) columnBCells[rowIndex].value = str(reportDatesAndNumberOfRelapses[reportDate]) rowIndex += 1 reportDate += datetime.timedelta(days=1) for weekdayIndex in range(0, 7): weekdayName = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'][weekdayIndex] # spreadsheetClient.UpdateCell(weekdayIndex + 2,3,weekdayName,spreadsheetId) # spreadsheetClient.UpdateCell(weekdayIndex + 2,4,str(dayOfWeekIndexesAndAverageNumberOfRelapses[weekdayIndex]),spreadsheetId) columnCCells[weekdayIndex].value = weekdayName columnDCells[weekdayIndex].value = str(dayOfWeekIndexesAndAverageNumberOfRelapses[weekdayIndex]) allCells = columnACells + columnBCells + columnCCells + columnDCells workSheet.update_cells(allCells) exit(0)

57.532847

143

0.650343

spread from oauth2client.client import SignedJwtAssertionCredentials import datetime from participantCollection import ParticipantCollection participantFileNames = ['../stayclean-2014-november/participants.txt', '../stayclean-2014-december/participants.txt', '../stayclean-2015-january/participants.txt', '../stayclean-2015-february/participants.txt', '../stayclean-2015-march/participants.txt', '../stayclean-2015-april/participants.txt', '../stayclean-2015-may/participants.txt', '../stayclean-2015-june/participants.txt', '../stayclean-2015-july/participants.txt', '../stayclean-2015-august/participants.txt', '../stayclean-2015-september/participants.txt', '../stayclean-2015-october/participants.txt', '../stayclean-2015-november/participants.txt', '../stayclean-2015-december/participants.txt', '../stayclean-2016-january/participants.txt', '../stayclean-2016-february/participants.txt', '../stayclean-2016-march/participants.txt', '../stayclean-2016-april/participants.txt', '../stayclean-2016-may/participants.txt', '../stayclean-2016-june/participants.txt', '../stayclean-2016-july/participants.txt', '../stayclean-2016-august/participants.txt', '../stayclean-2016-september/participants.txt', '../stayclean-2016-october/participants.txt', '../stayclean-2016-november/participants.txt', '../stayclean-2016-december/participants.txt', '../stayclean-2017-january/participants.txt', '../stayclean-2017-february/participants.txt', '../stayclean-2017-march/participants.txt', '../stayclean-2017-april/participants.txt', '../stayclean-2017-may/participants.txt', '../stayclean-2017-june/participants.txt', '../stayclean-2017-july/participants.txt', '../stayclean-2017-august/participants.txt', '../stayclean-2017-september/participants.txt', '../stayclean-2017-october/participants.txt', '../stayclean-2017-november/participants.txt', '../stayclean-2017-december/participants.txt', '../stayclean-2018-january/participants.txt', '../stayclean-2018-february/participants.txt', '../stayclean-2018-march/participants.txt', '../stayclean-2018-april/participants.txt', '../stayclean-2018-may/participants.txt', '../stayclean-2018-june/participants.txt', '../stayclean-2018-july/participants.txt', '../stayclean-2018-august/participants.txt', '../stayclean-2018-september/participants.txt', '../stayclean-2018-october/participants.txt', '../stayclean-2018-november/participants.txt', '../stayclean-2018-december/participants.txt', '../stayclean-2019-january/participants.txt', '../stayclean-2019-february/participants.txt', '../stayclean-2019-march/participants.txt', '../stayclean-2019-april/participants.txt', './participants.txt'] sortedRelapseDates = [] for participantFileName in participantFileNames: participants = ParticipantCollection(fileNameString=participantFileName) sortedRelapseDates = sortedRelapseDates + participants.allRelapseDates() sortedRelapseDates.sort() earliestReportDate = sortedRelapseDates[0] latestReportDate = sortedRelapseDates[-1] reportDates = [] numberOfRelapsesPerDate = [] reportDatesAndNumberOfRelapses = {} dayOfWeekIndexesAndNumberOfInstances = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0} reportDate = earliestReportDate while reportDate <= latestReportDate: reportDatesAndNumberOfRelapses[reportDate] = 0 dayOfWeekIndexesAndNumberOfInstances[reportDate.weekday()] += 1 reportDate += datetime.timedelta(days=1) for relapseDate in sortedRelapseDates: reportDatesAndNumberOfRelapses[relapseDate] += 1 dayOfWeekIndexesAndTotalNumberOfRelapses = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0} for participantFileName in participantFileNames: participants = ParticipantCollection(fileNameString=participantFileName) for index, parts in participants.relapseDayOfWeekIndexesAndParticipants().iteritems(): dayOfWeekIndexesAndTotalNumberOfRelapses[index] += len(parts) dayOfWeekIndexesAndAverageNumberOfRelapses = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, 6: 0} for index, instances in dayOfWeekIndexesAndNumberOfInstances.iteritems(): dayOfWeekIndexesAndAverageNumberOfRelapses[index] = float(dayOfWeekIndexesAndTotalNumberOfRelapses[index]) / float(instances) spreadsheetTitle = "StayClean monthly challenge relapse data" json_key = json.load(open('../google-oauth-credentials.json')) scope = ['https://spreadsheets.google.com/feeds'] credentials = SignedJwtAssertionCredentials(json_key['client_email'], json_key['private_key'].encode(), scope) gc = gspread.authorize(credentials) spreadSheet = None try: spreadSheet = gc.open(spreadsheetTitle) except gspread.exceptions.SpreadsheetNotFound: print "No spreadsheet with title " + spreadsheetTitle exit(1) workSheet = spreadSheet.get_worksheet(0) columnACells = workSheet.range("A2:A" + str(len(reportDatesAndNumberOfRelapses) + 1)) columnBCells = workSheet.range("B2:B" + str(len(reportDatesAndNumberOfRelapses) + 1)) columnCCells = workSheet.range("C2:C8") columnDCells = workSheet.range("D2:D8") reportDate = earliestReportDate rowIndex = 0 while reportDate <= latestReportDate: columnACells[rowIndex].value = str(reportDate) columnBCells[rowIndex].value = str(reportDatesAndNumberOfRelapses[reportDate]) rowIndex += 1 reportDate += datetime.timedelta(days=1) for weekdayIndex in range(0, 7): weekdayName = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'][weekdayIndex] columnCCells[weekdayIndex].value = weekdayName columnDCells[weekdayIndex].value = str(dayOfWeekIndexesAndAverageNumberOfRelapses[weekdayIndex]) allCells = columnACells + columnBCells + columnCCells + columnDCells workSheet.update_cells(allCells) exit(0)

false

true

f7fc2de179967d7f1df595e1c93ca99ddfdcaea0

570

py

Python

samples/scripts/fileio.py

OkanoShogo0903/open3d_workspace

38386e9dd65a75ea62202487bd4d18712eab3f1e

[ "MIT" ]

null

samples/scripts/fileio.py

OkanoShogo0903/open3d_workspace

38386e9dd65a75ea62202487bd4d18712eab3f1e

[ "MIT" ]

null

samples/scripts/fileio.py

OkanoShogo0903/open3d_workspace

38386e9dd65a75ea62202487bd4d18712eab3f1e

[ "MIT" ]

null

# examples/Python/Tutorial/Basic/file_io.py from open3d import * if __name__ == "__main__": print("Testing IO for point cloud ...") pcd = read_point_cloud("./TestData/fragment.pcd") print(pcd) write_point_cloud("copy_of_fragment.pcd", pcd) print("Testing IO for meshes ...") mesh = read_triangle_mesh("./TestData/knot.ply") print(mesh) write_triangle_mesh("copy_of_knot.ply", mesh) print("Testing IO for images ...") img = read_image("./TestData/lena_color.jpg") print(img) write_image("copy_of_lena_color.jpg", img)

27.142857

53

0.682456

from open3d import * if __name__ == "__main__": print("Testing IO for point cloud ...") pcd = read_point_cloud("./TestData/fragment.pcd") print(pcd) write_point_cloud("copy_of_fragment.pcd", pcd) print("Testing IO for meshes ...") mesh = read_triangle_mesh("./TestData/knot.ply") print(mesh) write_triangle_mesh("copy_of_knot.ply", mesh) print("Testing IO for images ...") img = read_image("./TestData/lena_color.jpg") print(img) write_image("copy_of_lena_color.jpg", img)

true

f7fc2df419b8a1ca2699b10d2f6439fdb58a7327

4,960

py

Python

SampleLabel.py

isoundy000/FGJumperMaster

10063f167fbba7d9e16375965f7320a3966169f6

[ "Apache-2.0" ]

null

SampleLabel.py

isoundy000/FGJumperMaster

10063f167fbba7d9e16375965f7320a3966169f6

[ "Apache-2.0" ]

null

SampleLabel.py

isoundy000/FGJumperMaster

10063f167fbba7d9e16375965f7320a3966169f6

[ "Apache-2.0" ]

1

2019-06-23T12:13:01.000Z

''' self.img self.canvas self.fchess (x, y) self.cbox (x, y) self.save_path 图像的保存路径 self.label_filename init(img) u-更新画面 cancelLabel: ctrl + z -> 撤销标注，更新画面，重新标注 saveLabel: ctrl + s-检验标注是否完整，保存标注更新画面 addLabel(x, y, type) 添加标记 fchess chess footer cbox： box center onMouse: 监听鼠标事件 helpMenu ctrl + h 帮助按钮打印帮助信息 genImageName 生成图像名称，利用事件戳 saveImage 保存图片 label2str(img_name, ) saveLabelInfo numpy 的copy问题 http://blog.csdn.net/u010099080/article/details/59111207 ''' import cv2 import numpy as np import datetime import math import copy from ADBHelper import ADBHelper MP_UNMARK = 0 # 0 : 未进行标注 MP_MARKED_FCHESS = 1 # 1 : 标注了小人的底部 MP_MARKED_CBOX = 2 # 2 : 标注了box的中心点 ''' 手动标注两个标签 ''' def markChessAndBoxByHand(event,x,y,flags,sampleLabel): if event == cv2.EVENT_LBUTTONDOWN: print("click: x= {}, y={}".format(x, y)) sampleLabel.addLabel(x, y) class SampleLabel: def __init__(self, save_path='./', label_filename='label.txt'): self.img = None # 原来的图片 self.canvas = None # 画布 self.img_name = None # 图片名称 self.mp = 0 # 标注的进程 self.fchess = (0, 0) # 棋子底部中心 self.cbox = (0, 0) # 下一条盒子的中心 self.save_path = save_path # 图像的保存路径 self.label_filename = label_filename #　标签记录文件的文件名 # self.label_file = open(label_filename, 'w+') # 文件对象 self.winname = 'label' # 创建一个窗口 cv2.namedWindow(self.winname, flags= cv2.WINDOW_NORMAL | cv2.WINDOW_FREERATIO) cv2.setMouseCallback(self.winname, markChessAndBoxByHand, self) def responseToKeyEvent(self, key): pass def updateImg(self, img, img_name = None): # 更新当前源图像 self.img = img.copy() # use copy deep copy self.canvas = img.copy() self.fchess = (0, 0) self.cbox = (0, 0) if img_name == None: # 根据时间戳　生成文件名 self.img_name = f"{datetime.datetime.now():%Y-%m-%d-%H-%M-%S-%f.png}" else: # 如果有名字的话就直接赋值 self.img_name = img_name # 重置标注状态 self.mp = MP_UNMARK self.updateCanvas() def printProcessOnCanvas(self, info): ''' 在画布上显示帮助信息 ''' # 首先更新画布 # self.updateCanvas() self.canvas[50:150,:] = 255 # 选择字体 font = cv2.FONT_HERSHEY_SIMPLEX fontScale = 1 cv2.putText(self.canvas, text=info, org=(100, 100), fontFace=font, fontScale=fontScale, thickness=1, lineType=cv2.LINE_AA, color=(0, 0, 255)) cv2.imshow(self.winname, self.canvas) def updateCanvas(self): ''' 根据状态更新画布　与文字提示 ''' # Use Deep Copy self.canvas = self.img.copy() rmarker = 10 # 标记半径 if self.mp >= MP_MARKED_FCHESS: # 绘制chess中心 # 绘制棋子底部的中心点红色实心 cv2.circle(img=self.canvas, center=self.fchess, radius=rmarker, color=(0, 0, 255), thickness=-1) if self.mp >= MP_MARKED_CBOX: # 绘制下一条盒子中心 cv2.circle(img=self.canvas, center=self.cbox, radius=rmarker, color=(0, 255, 0), thickness=-1) if self.mp == MP_UNMARK: self.printProcessOnCanvas("step-0 unmarked, mark chess footer first.") elif self.mp == MP_MARKED_FCHESS: self.printProcessOnCanvas("step-1 you need to mark next box center.") elif self.mp == MP_MARKED_CBOX: self.printProcessOnCanvas("step-2 mark done, save (s) or cancel (u)") cv2.imshow(self.winname, self.canvas) def addLabel(self, x, y): if self.mp == MP_UNMARK: self.fchess = (x, y) self.mp = MP_MARKED_FCHESS elif self.mp == MP_MARKED_FCHESS: self.cbox = (x, y) self.mp = MP_MARKED_CBOX else: print("标注已完成") print("fchess") print(self.fchess) print("cbox") print(self.cbox) print("mp") print(self.mp) self.updateCanvas() def isMarkDone(self): ''' 返回是否标注完成 ''' return self.mp == MP_MARKED_CBOX def saveImg(self): ''' 保存图片 ''' cv2.imwrite(self.save_path + self.img_name, self.img) cv2.imwrite(self.save_path + 'log/' + self.img_name, self.canvas) def label2string(self): (x1, y1) = self.fchess (x2, y2) = self.cbox return ",".join([self.img_name, str(x1), str(y1), str(x2), str(y2)]) + '\n' def saveLabelInfo(self): # 在文件后面追加 append with open(self.label_filename, 'a+') as f: f.write(self.label2string()) def onDestroy(self): # exit # 关闭文件 # self.label_file.close() # 关闭窗口 cv2.destroyWindow(self.winname) # 退出并结束程序。 exit()

22.648402

109

0.558669

import cv2 import numpy as np import datetime import math import copy from ADBHelper import ADBHelper MP_UNMARK = 0 MP_MARKED_FCHESS = 1 MP_MARKED_CBOX = 2 def markChessAndBoxByHand(event,x,y,flags,sampleLabel): if event == cv2.EVENT_LBUTTONDOWN: print("click: x= {}, y={}".format(x, y)) sampleLabel.addLabel(x, y) class SampleLabel: def __init__(self, save_path='./', label_filename='label.txt'): self.img = None self.canvas = None self.img_name = None self.mp = 0 self.fchess = (0, 0) self.cbox = (0, 0) self.save_path = save_path self.label_filename = label_filename self.winname = 'label' cv2.namedWindow(self.winname, flags= cv2.WINDOW_NORMAL | cv2.WINDOW_FREERATIO) cv2.setMouseCallback(self.winname, markChessAndBoxByHand, self) def responseToKeyEvent(self, key): pass def updateImg(self, img, img_name = None): self.img = img.copy() self.canvas = img.copy() self.fchess = (0, 0) self.cbox = (0, 0) if img_name == None: self.img_name = f"{datetime.datetime.now():%Y-%m-%d-%H-%M-%S-%f.png}" else: self.img_name = img_name self.mp = MP_UNMARK self.updateCanvas() def printProcessOnCanvas(self, info): self.canvas[50:150,:] = 255 font = cv2.FONT_HERSHEY_SIMPLEX fontScale = 1 cv2.putText(self.canvas, text=info, org=(100, 100), fontFace=font, fontScale=fontScale, thickness=1, lineType=cv2.LINE_AA, color=(0, 0, 255)) cv2.imshow(self.winname, self.canvas) def updateCanvas(self): self.canvas = self.img.copy() rmarker = 10 if self.mp >= MP_MARKED_FCHESS: cv2.circle(img=self.canvas, center=self.fchess, radius=rmarker, color=(0, 0, 255), thickness=-1) if self.mp >= MP_MARKED_CBOX: cv2.circle(img=self.canvas, center=self.cbox, radius=rmarker, color=(0, 255, 0), thickness=-1) if self.mp == MP_UNMARK: self.printProcessOnCanvas("step-0 unmarked, mark chess footer first.") elif self.mp == MP_MARKED_FCHESS: self.printProcessOnCanvas("step-1 you need to mark next box center.") elif self.mp == MP_MARKED_CBOX: self.printProcessOnCanvas("step-2 mark done, save (s) or cancel (u)") cv2.imshow(self.winname, self.canvas) def addLabel(self, x, y): if self.mp == MP_UNMARK: self.fchess = (x, y) self.mp = MP_MARKED_FCHESS elif self.mp == MP_MARKED_FCHESS: self.cbox = (x, y) self.mp = MP_MARKED_CBOX else: print("标注已完成") print("fchess") print(self.fchess) print("cbox") print(self.cbox) print("mp") print(self.mp) self.updateCanvas() def isMarkDone(self): return self.mp == MP_MARKED_CBOX def saveImg(self): cv2.imwrite(self.save_path + self.img_name, self.img) cv2.imwrite(self.save_path + 'log/' + self.img_name, self.canvas) def label2string(self): (x1, y1) = self.fchess (x2, y2) = self.cbox return ",".join([self.img_name, str(x1), str(y1), str(x2), str(y2)]) + '\n' def saveLabelInfo(self): with open(self.label_filename, 'a+') as f: f.write(self.label2string()) def onDestroy(self): cv2.destroyWindow(self.winname) exit()

true

f7fc2e137ade81912985cb77deac17e28506af89

389

py

Python

alchemy/wsgi.py

edu-gp/annotation_tool

c383cfeca9f5773e540deaad8d06996ecbb95b32

[ "Apache-2.0" ]

2

2020-07-17T11:45:05.000Z

2020-07-17T13:39:14.000Z

alchemy/wsgi.py

georgianpartners/annotation_tool

c383cfeca9f5773e540deaad8d06996ecbb95b32

[ "Apache-2.0" ]

46

2020-09-30T14:40:45.000Z

2021-02-26T14:31:14.000Z

alchemy/wsgi.py

edu-gp/annotation_tool

c383cfeca9f5773e540deaad8d06996ecbb95b32

[ "Apache-2.0" ]

null

import importlib from envparse import env app_name = env('FLASK_APP') app_module = importlib.import_module(app_name.replace('/', '.')) if 'create_app' in dir(app_module): app = app_module.create_app() elif 'make_app' in dir(app_module): app = app_module.make_app() else: raise RuntimeError("Could not find the application factory in the flask app module.") __all__ = [app]

24.3125

89

0.730077

import importlib from envparse import env app_name = env('FLASK_APP') app_module = importlib.import_module(app_name.replace('/', '.')) if 'create_app' in dir(app_module): app = app_module.create_app() elif 'make_app' in dir(app_module): app = app_module.make_app() else: raise RuntimeError("Could not find the application factory in the flask app module.") __all__ = [app]

true

f7fc2fbe56b0928ea8a1450ebf338960f6824695

2,896

py

Python

tests/api/test_setting.py

hema984838/Log_test

4f4d487e28e9b7b81fa0b814ed917a189e1c72dd

[ "MIT" ]

4

2021-07-06T14:51:24.000Z

2021-07-23T16:40:53.000Z

tests/api/test_setting.py

hema984838/Log_test

4f4d487e28e9b7b81fa0b814ed917a189e1c72dd

[ "MIT" ]

1

2021-05-11T13:02:48.000Z

2021-05-11T13:03:32.000Z

tests/api/test_setting.py

hema984838/Log_test

4f4d487e28e9b7b81fa0b814ed917a189e1c72dd

[ "MIT" ]

null

from app.models import CustomDomain, AliasGeneratorEnum, SenderFormatEnum from tests.utils import login def test_get_setting(flask_client): login(flask_client) r = flask_client.get("/api/setting") assert r.status_code == 200 assert r.json == { "alias_generator": "word", "notification": True, "random_alias_default_domain": "sl.local", "sender_format": "AT", } def test_update_settings_notification(flask_client): user = login(flask_client) assert user.notification r = flask_client.patch("/api/setting", json={"notification": False}) assert r.status_code == 200 assert not user.notification def test_update_settings_alias_generator(flask_client): user = login(flask_client) assert user.alias_generator == AliasGeneratorEnum.word.value r = flask_client.patch("/api/setting", json={"alias_generator": "invalid"}) assert r.status_code == 400 r = flask_client.patch("/api/setting", json={"alias_generator": "uuid"}) assert r.status_code == 200 assert user.alias_generator == AliasGeneratorEnum.uuid.value def test_update_settings_random_alias_default_domain(flask_client): user = login(flask_client) assert user.default_random_alias_domain() == "sl.local" r = flask_client.patch( "/api/setting", json={"random_alias_default_domain": "invalid"} ) assert r.status_code == 400 r = flask_client.patch( "/api/setting", json={"random_alias_default_domain": "d1.test"} ) assert r.status_code == 200 assert user.default_random_alias_domain() == "d1.test" def test_update_settings_sender_format(flask_client): user = login(flask_client) assert user.sender_format == SenderFormatEnum.AT.value r = flask_client.patch("/api/setting", json={"sender_format": "invalid"}) assert r.status_code == 400 r = flask_client.patch("/api/setting", json={"sender_format": "VIA"}) assert r.status_code == 200 assert user.sender_format == SenderFormatEnum.VIA.value def test_get_setting_domains(flask_client): user = login(flask_client) CustomDomain.create(user_id=user.id, domain="ab.cd", verified=True, commit=True) r = flask_client.get("/api/setting/domains") assert r.status_code == 200 assert r.json == [ [True, "d1.test"], [True, "d2.test"], [True, "sl.local"], [False, "ab.cd"], ] def test_get_setting_domains_v2(flask_client): user = login(flask_client) CustomDomain.create(user_id=user.id, domain="ab.cd", verified=True, commit=True) r = flask_client.get("/api/v2/setting/domains") assert r.status_code == 200 assert r.json == [ {"domain": "d1.test", "is_custom": False}, {"domain": "d2.test", "is_custom": False}, {"domain": "sl.local", "is_custom": False}, {"domain": "ab.cd", "is_custom": True}, ]

31.139785

84

0.677141

from app.models import CustomDomain, AliasGeneratorEnum, SenderFormatEnum from tests.utils import login def test_get_setting(flask_client): login(flask_client) r = flask_client.get("/api/setting") assert r.status_code == 200 assert r.json == { "alias_generator": "word", "notification": True, "random_alias_default_domain": "sl.local", "sender_format": "AT", } def test_update_settings_notification(flask_client): user = login(flask_client) assert user.notification r = flask_client.patch("/api/setting", json={"notification": False}) assert r.status_code == 200 assert not user.notification def test_update_settings_alias_generator(flask_client): user = login(flask_client) assert user.alias_generator == AliasGeneratorEnum.word.value r = flask_client.patch("/api/setting", json={"alias_generator": "invalid"}) assert r.status_code == 400 r = flask_client.patch("/api/setting", json={"alias_generator": "uuid"}) assert r.status_code == 200 assert user.alias_generator == AliasGeneratorEnum.uuid.value def test_update_settings_random_alias_default_domain(flask_client): user = login(flask_client) assert user.default_random_alias_domain() == "sl.local" r = flask_client.patch( "/api/setting", json={"random_alias_default_domain": "invalid"} ) assert r.status_code == 400 r = flask_client.patch( "/api/setting", json={"random_alias_default_domain": "d1.test"} ) assert r.status_code == 200 assert user.default_random_alias_domain() == "d1.test" def test_update_settings_sender_format(flask_client): user = login(flask_client) assert user.sender_format == SenderFormatEnum.AT.value r = flask_client.patch("/api/setting", json={"sender_format": "invalid"}) assert r.status_code == 400 r = flask_client.patch("/api/setting", json={"sender_format": "VIA"}) assert r.status_code == 200 assert user.sender_format == SenderFormatEnum.VIA.value def test_get_setting_domains(flask_client): user = login(flask_client) CustomDomain.create(user_id=user.id, domain="ab.cd", verified=True, commit=True) r = flask_client.get("/api/setting/domains") assert r.status_code == 200 assert r.json == [ [True, "d1.test"], [True, "d2.test"], [True, "sl.local"], [False, "ab.cd"], ] def test_get_setting_domains_v2(flask_client): user = login(flask_client) CustomDomain.create(user_id=user.id, domain="ab.cd", verified=True, commit=True) r = flask_client.get("/api/v2/setting/domains") assert r.status_code == 200 assert r.json == [ {"domain": "d1.test", "is_custom": False}, {"domain": "d2.test", "is_custom": False}, {"domain": "sl.local", "is_custom": False}, {"domain": "ab.cd", "is_custom": True}, ]

true

f7fc31356e8d7540bd27c82964d0c212aaa91955

21,183

py

Python

venv/lib/python3.6/site-packages/mypy/strconv.py

humphrey-mutuma/Awards

4d5c934d503cdcb5466e7a345c57bfd62fb3c90f

[ "MIT" ]

2

2022-01-21T12:51:19.000Z

2022-01-21T12:51:30.000Z

venv/lib/python3.6/site-packages/mypy/strconv.py

humphrey-mutuma/Awards

4d5c934d503cdcb5466e7a345c57bfd62fb3c90f

[ "MIT" ]

4

2021-03-19T03:30:10.000Z

2021-09-08T01:16:55.000Z

venv/lib/python3.6/site-packages/mypy/strconv.py

humphrey-mutuma/Awards

4d5c934d503cdcb5466e7a345c57bfd62fb3c90f

[ "MIT" ]

2

2020-12-28T13:41:55.000Z

2021-01-21T10:07:47.000Z

"""Conversion of parse tree nodes to strings.""" import re import os from typing import Any, List, Tuple, Optional, Union, Sequence from mypy.util import short_type, IdMapper import mypy.nodes from mypy.visitor import NodeVisitor class StrConv(NodeVisitor[str]): """Visitor for converting a node to a human-readable string. For example, an MypyFile node from program '1' is converted into something like this: MypyFile:1( fnam ExpressionStmt:1( IntExpr(1))) """ def __init__(self, show_ids: bool = False) -> None: self.show_ids = show_ids self.id_mapper = None # type: Optional[IdMapper] if show_ids: self.id_mapper = IdMapper() def get_id(self, o: object) -> Optional[int]: if self.id_mapper: return self.id_mapper.id(o) return None def format_id(self, o: object) -> str: if self.id_mapper: return '<{}>'.format(self.get_id(o)) else: return '' def dump(self, nodes: Sequence[object], obj: 'mypy.nodes.Context') -> str: """Convert a list of items to a multiline pretty-printed string. The tag is produced from the type name of obj and its line number. See mypy.util.dump_tagged for a description of the nodes argument. """ tag = short_type(obj) + ':' + str(obj.get_line()) if self.show_ids: assert self.id_mapper is not None tag += '<{}>'.format(self.get_id(obj)) return dump_tagged(nodes, tag, self) def func_helper(self, o: 'mypy.nodes.FuncItem') -> List[object]: """Return a list in a format suitable for dump() that represents the arguments and the body of a function. The caller can then decorate the array with information specific to methods, global functions or anonymous functions. """ args = [] # type: List[Union[mypy.nodes.Var, Tuple[str, List[mypy.nodes.Node]]]] extra = [] # type: List[Tuple[str, List[mypy.nodes.Var]]] for arg in o.arguments: kind = arg.kind # type: int if kind in (mypy.nodes.ARG_POS, mypy.nodes.ARG_NAMED): args.append(arg.variable) elif kind in (mypy.nodes.ARG_OPT, mypy.nodes.ARG_NAMED_OPT): assert arg.initializer is not None args.append(('default', [arg.variable, arg.initializer])) elif kind == mypy.nodes.ARG_STAR: extra.append(('VarArg', [arg.variable])) elif kind == mypy.nodes.ARG_STAR2: extra.append(('DictVarArg', [arg.variable])) a = [] # type: List[Any] if args: a.append(('Args', args)) if o.type: a.append(o.type) if o.is_generator: a.append('Generator') a.extend(extra) a.append(o.body) return a # Top-level structures def visit_mypy_file(self, o: 'mypy.nodes.MypyFile') -> str: # Skip implicit definitions. a = [o.defs] # type: List[Any] if o.is_bom: a.insert(0, 'BOM') # Omit path to special file with name "main". This is used to simplify # test case descriptions; the file "main" is used by default in many # test cases. if o.path != 'main': # Insert path. Normalize directory separators to / to unify test # case# output in all platforms. a.insert(0, o.path.replace(os.sep, '/')) if o.ignored_lines: a.append('IgnoredLines(%s)' % ', '.join(str(line) for line in sorted(o.ignored_lines))) return self.dump(a, o) def visit_import(self, o: 'mypy.nodes.Import') -> str: a = [] for id, as_id in o.ids: if as_id is not None: a.append('{} : {}'.format(id, as_id)) else: a.append(id) return 'Import:{}({})'.format(o.line, ', '.join(a)) def visit_import_from(self, o: 'mypy.nodes.ImportFrom') -> str: a = [] for name, as_name in o.names: if as_name is not None: a.append('{} : {}'.format(name, as_name)) else: a.append(name) return 'ImportFrom:{}({}, [{}])'.format(o.line, "." * o.relative + o.id, ', '.join(a)) def visit_import_all(self, o: 'mypy.nodes.ImportAll') -> str: return 'ImportAll:{}({})'.format(o.line, "." * o.relative + o.id) # Definitions def visit_func_def(self, o: 'mypy.nodes.FuncDef') -> str: a = self.func_helper(o) a.insert(0, o.name()) arg_kinds = {arg.kind for arg in o.arguments} if len(arg_kinds & {mypy.nodes.ARG_NAMED, mypy.nodes.ARG_NAMED_OPT}) > 0: a.insert(1, 'MaxPos({})'.format(o.max_pos)) if o.is_abstract: a.insert(-1, 'Abstract') if o.is_static: a.insert(-1, 'Static') if o.is_class: a.insert(-1, 'Class') if o.is_property: a.insert(-1, 'Property') return self.dump(a, o) def visit_overloaded_func_def(self, o: 'mypy.nodes.OverloadedFuncDef') -> str: a = o.items[:] # type: Any if o.type: a.insert(0, o.type) if o.impl: a.insert(0, o.impl) if o.is_static: a.insert(-1, 'Static') if o.is_class: a.insert(-1, 'Class') return self.dump(a, o) def visit_class_def(self, o: 'mypy.nodes.ClassDef') -> str: a = [o.name, o.defs.body] # Display base types unless they are implicitly just builtins.object # (in this case base_type_exprs is empty). if o.base_type_exprs: if o.info and o.info.bases: if (len(o.info.bases) != 1 or o.info.bases[0].type.fullname() != 'builtins.object'): a.insert(1, ('BaseType', o.info.bases)) else: a.insert(1, ('BaseTypeExpr', o.base_type_exprs)) if o.type_vars: a.insert(1, ('TypeVars', o.type_vars)) if o.metaclass: a.insert(1, 'Metaclass({})'.format(o.metaclass)) if o.decorators: a.insert(1, ('Decorators', o.decorators)) if o.info and o.info._promote: a.insert(1, 'Promote({})'.format(o.info._promote)) if o.info and o.info.tuple_type: a.insert(1, ('TupleType', [o.info.tuple_type])) if o.info and o.info.fallback_to_any: a.insert(1, 'FallbackToAny') return self.dump(a, o) def visit_var(self, o: 'mypy.nodes.Var') -> str: lst = '' # Add :nil line number tag if no line number is specified to remain # compatible with old test case descriptions that assume this. if o.line < 0: lst = ':nil' return 'Var' + lst + '(' + o.name() + ')' def visit_global_decl(self, o: 'mypy.nodes.GlobalDecl') -> str: return self.dump([o.names], o) def visit_nonlocal_decl(self, o: 'mypy.nodes.NonlocalDecl') -> str: return self.dump([o.names], o) def visit_decorator(self, o: 'mypy.nodes.Decorator') -> str: return self.dump([o.var, o.decorators, o.func], o) # Statements def visit_block(self, o: 'mypy.nodes.Block') -> str: return self.dump(o.body, o) def visit_expression_stmt(self, o: 'mypy.nodes.ExpressionStmt') -> str: return self.dump([o.expr], o) def visit_assignment_stmt(self, o: 'mypy.nodes.AssignmentStmt') -> str: a = [] # type: List[Any] if len(o.lvalues) > 1: a = [('Lvalues', o.lvalues)] else: a = [o.lvalues[0]] a.append(o.rvalue) if o.type: a.append(o.type) return self.dump(a, o) def visit_operator_assignment_stmt(self, o: 'mypy.nodes.OperatorAssignmentStmt') -> str: return self.dump([o.op, o.lvalue, o.rvalue], o) def visit_while_stmt(self, o: 'mypy.nodes.WhileStmt') -> str: a = [o.expr, o.body] # type: List[Any] if o.else_body: a.append(('Else', o.else_body.body)) return self.dump(a, o) def visit_for_stmt(self, o: 'mypy.nodes.ForStmt') -> str: a = [] # type: List[Any] if o.is_async: a.append(('Async', '')) a.append(o.index) if o.index_type: a.append(o.index_type) a.extend([o.expr, o.body]) if o.else_body: a.append(('Else', o.else_body.body)) return self.dump(a, o) def visit_return_stmt(self, o: 'mypy.nodes.ReturnStmt') -> str: return self.dump([o.expr], o) def visit_if_stmt(self, o: 'mypy.nodes.IfStmt') -> str: a = [] # type: List[Any] for i in range(len(o.expr)): a.append(('If', [o.expr[i]])) a.append(('Then', o.body[i].body)) if not o.else_body: return self.dump(a, o) else: return self.dump([a, ('Else', o.else_body.body)], o) def visit_break_stmt(self, o: 'mypy.nodes.BreakStmt') -> str: return self.dump([], o) def visit_continue_stmt(self, o: 'mypy.nodes.ContinueStmt') -> str: return self.dump([], o) def visit_pass_stmt(self, o: 'mypy.nodes.PassStmt') -> str: return self.dump([], o) def visit_raise_stmt(self, o: 'mypy.nodes.RaiseStmt') -> str: return self.dump([o.expr, o.from_expr], o) def visit_assert_stmt(self, o: 'mypy.nodes.AssertStmt') -> str: if o.msg is not None: return self.dump([o.expr, o.msg], o) else: return self.dump([o.expr], o) def visit_await_expr(self, o: 'mypy.nodes.AwaitExpr') -> str: return self.dump([o.expr], o) def visit_del_stmt(self, o: 'mypy.nodes.DelStmt') -> str: return self.dump([o.expr], o) def visit_try_stmt(self, o: 'mypy.nodes.TryStmt') -> str: a = [o.body] # type: List[Any] for i in range(len(o.vars)): a.append(o.types[i]) if o.vars[i]: a.append(o.vars[i]) a.append(o.handlers[i]) if o.else_body: a.append(('Else', o.else_body.body)) if o.finally_body: a.append(('Finally', o.finally_body.body)) return self.dump(a, o) def visit_with_stmt(self, o: 'mypy.nodes.WithStmt') -> str: a = [] # type: List[Any] if o.is_async: a.append(('Async', '')) for i in range(len(o.expr)): a.append(('Expr', [o.expr[i]])) if o.target[i]: a.append(('Target', [o.target[i]])) if o.unanalyzed_type: a.append(o.unanalyzed_type) return self.dump(a + [o.body], o) def visit_print_stmt(self, o: 'mypy.nodes.PrintStmt') -> str: a = o.args[:] # type: List[Any] if o.target: a.append(('Target', [o.target])) if o.newline: a.append('Newline') return self.dump(a, o) def visit_exec_stmt(self, o: 'mypy.nodes.ExecStmt') -> str: return self.dump([o.expr, o.globals, o.locals], o) # Expressions # Simple expressions def visit_int_expr(self, o: 'mypy.nodes.IntExpr') -> str: return 'IntExpr({})'.format(o.value) def visit_str_expr(self, o: 'mypy.nodes.StrExpr') -> str: return 'StrExpr({})'.format(self.str_repr(o.value)) def visit_bytes_expr(self, o: 'mypy.nodes.BytesExpr') -> str: return 'BytesExpr({})'.format(self.str_repr(o.value)) def visit_unicode_expr(self, o: 'mypy.nodes.UnicodeExpr') -> str: return 'UnicodeExpr({})'.format(self.str_repr(o.value)) def str_repr(self, s: str) -> str: s = re.sub(r'\\u[0-9a-fA-F]{4}', lambda m: '\\' + m.group(0), s) return re.sub('[^\\x20-\\x7e]', lambda m: r'\u%.4x' % ord(m.group(0)), s) def visit_float_expr(self, o: 'mypy.nodes.FloatExpr') -> str: return 'FloatExpr({})'.format(o.value) def visit_complex_expr(self, o: 'mypy.nodes.ComplexExpr') -> str: return 'ComplexExpr({})'.format(o.value) def visit_ellipsis(self, o: 'mypy.nodes.EllipsisExpr') -> str: return 'Ellipsis' def visit_star_expr(self, o: 'mypy.nodes.StarExpr') -> str: return self.dump([o.expr], o) def visit_name_expr(self, o: 'mypy.nodes.NameExpr') -> str: pretty = self.pretty_name(o.name, o.kind, o.fullname, o.is_inferred_def or o.is_special_form, o.node) if isinstance(o.node, mypy.nodes.Var) and o.node.is_final: pretty += ' = {}'.format(o.node.final_value) return short_type(o) + '(' + pretty + ')' def pretty_name(self, name: str, kind: Optional[int], fullname: Optional[str], is_inferred_def: bool, target_node: 'Optional[mypy.nodes.Node]' = None) -> str: n = name if is_inferred_def: n += '*' if target_node: id = self.format_id(target_node) else: id = '' if isinstance(target_node, mypy.nodes.MypyFile) and name == fullname: n += id elif kind == mypy.nodes.GDEF or (fullname != name and fullname is not None): # Append fully qualified name for global references. n += ' [{}{}]'.format(fullname, id) elif kind == mypy.nodes.LDEF: # Add tag to signify a local reference. n += ' [l{}]'.format(id) elif kind == mypy.nodes.MDEF: # Add tag to signify a member reference. n += ' [m{}]'.format(id) else: n += id return n def visit_member_expr(self, o: 'mypy.nodes.MemberExpr') -> str: pretty = self.pretty_name(o.name, o.kind, o.fullname, o.is_inferred_def, o.node) return self.dump([o.expr, pretty], o) def visit_yield_expr(self, o: 'mypy.nodes.YieldExpr') -> str: return self.dump([o.expr], o) def visit_yield_from_expr(self, o: 'mypy.nodes.YieldFromExpr') -> str: if o.expr: return self.dump([o.expr.accept(self)], o) else: return self.dump([], o) def visit_call_expr(self, o: 'mypy.nodes.CallExpr') -> str: if o.analyzed: return o.analyzed.accept(self) args = [] # type: List[mypy.nodes.Expression] extra = [] # type: List[Union[str, Tuple[str, List[Any]]]] for i, kind in enumerate(o.arg_kinds): if kind in [mypy.nodes.ARG_POS, mypy.nodes.ARG_STAR]: args.append(o.args[i]) if kind == mypy.nodes.ARG_STAR: extra.append('VarArg') elif kind == mypy.nodes.ARG_NAMED: extra.append(('KwArgs', [o.arg_names[i], o.args[i]])) elif kind == mypy.nodes.ARG_STAR2: extra.append(('DictVarArg', [o.args[i]])) else: raise RuntimeError('unknown kind %d' % kind) a = [o.callee, ('Args', args)] # type: List[Any] return self.dump(a + extra, o) def visit_op_expr(self, o: 'mypy.nodes.OpExpr') -> str: return self.dump([o.op, o.left, o.right], o) def visit_comparison_expr(self, o: 'mypy.nodes.ComparisonExpr') -> str: return self.dump([o.operators, o.operands], o) def visit_cast_expr(self, o: 'mypy.nodes.CastExpr') -> str: return self.dump([o.expr, o.type], o) def visit_reveal_expr(self, o: 'mypy.nodes.RevealExpr') -> str: if o.kind == mypy.nodes.REVEAL_TYPE: return self.dump([o.expr], o) else: # REVEAL_LOCALS return self.dump([o.local_nodes], o) def visit_unary_expr(self, o: 'mypy.nodes.UnaryExpr') -> str: return self.dump([o.op, o.expr], o) def visit_list_expr(self, o: 'mypy.nodes.ListExpr') -> str: return self.dump(o.items, o) def visit_dict_expr(self, o: 'mypy.nodes.DictExpr') -> str: return self.dump([[k, v] for k, v in o.items], o) def visit_set_expr(self, o: 'mypy.nodes.SetExpr') -> str: return self.dump(o.items, o) def visit_tuple_expr(self, o: 'mypy.nodes.TupleExpr') -> str: return self.dump(o.items, o) def visit_index_expr(self, o: 'mypy.nodes.IndexExpr') -> str: if o.analyzed: return o.analyzed.accept(self) return self.dump([o.base, o.index], o) def visit_super_expr(self, o: 'mypy.nodes.SuperExpr') -> str: return self.dump([o.name, o.call], o) def visit_type_application(self, o: 'mypy.nodes.TypeApplication') -> str: return self.dump([o.expr, ('Types', o.types)], o) def visit_type_var_expr(self, o: 'mypy.nodes.TypeVarExpr') -> str: import mypy.types a = [] # type: List[Any] if o.variance == mypy.nodes.COVARIANT: a += ['Variance(COVARIANT)'] if o.variance == mypy.nodes.CONTRAVARIANT: a += ['Variance(CONTRAVARIANT)'] if o.values: a += [('Values', o.values)] if not mypy.types.is_named_instance(o.upper_bound, 'builtins.object'): a += ['UpperBound({})'.format(o.upper_bound)] return self.dump(a, o) def visit_type_alias_expr(self, o: 'mypy.nodes.TypeAliasExpr') -> str: return 'TypeAliasExpr({})'.format(o.type) def visit_namedtuple_expr(self, o: 'mypy.nodes.NamedTupleExpr') -> str: return 'NamedTupleExpr:{}({}, {})'.format(o.line, o.info.name(), o.info.tuple_type) def visit_enum_call_expr(self, o: 'mypy.nodes.EnumCallExpr') -> str: return 'EnumCallExpr:{}({}, {})'.format(o.line, o.info.name(), o.items) def visit_typeddict_expr(self, o: 'mypy.nodes.TypedDictExpr') -> str: return 'TypedDictExpr:{}({})'.format(o.line, o.info.name()) def visit__promote_expr(self, o: 'mypy.nodes.PromoteExpr') -> str: return 'PromoteExpr:{}({})'.format(o.line, o.type) def visit_newtype_expr(self, o: 'mypy.nodes.NewTypeExpr') -> str: return 'NewTypeExpr:{}({}, {})'.format(o.line, o.name, self.dump([o.old_type], o)) def visit_lambda_expr(self, o: 'mypy.nodes.LambdaExpr') -> str: a = self.func_helper(o) return self.dump(a, o) def visit_generator_expr(self, o: 'mypy.nodes.GeneratorExpr') -> str: condlists = o.condlists if any(o.condlists) else None return self.dump([o.left_expr, o.indices, o.sequences, condlists], o) def visit_list_comprehension(self, o: 'mypy.nodes.ListComprehension') -> str: return self.dump([o.generator], o) def visit_set_comprehension(self, o: 'mypy.nodes.SetComprehension') -> str: return self.dump([o.generator], o) def visit_dictionary_comprehension(self, o: 'mypy.nodes.DictionaryComprehension') -> str: condlists = o.condlists if any(o.condlists) else None return self.dump([o.key, o.value, o.indices, o.sequences, condlists], o) def visit_conditional_expr(self, o: 'mypy.nodes.ConditionalExpr') -> str: return self.dump([('Condition', [o.cond]), o.if_expr, o.else_expr], o) def visit_slice_expr(self, o: 'mypy.nodes.SliceExpr') -> str: a = [o.begin_index, o.end_index, o.stride] # type: List[Any] if not a[0]: a[0] = '<empty>' if not a[1]: a[1] = '<empty>' return self.dump(a, o) def visit_backquote_expr(self, o: 'mypy.nodes.BackquoteExpr') -> str: return self.dump([o.expr], o) def visit_temp_node(self, o: 'mypy.nodes.TempNode') -> str: return self.dump([o.type], o) def dump_tagged(nodes: Sequence[object], tag: Optional[str], str_conv: 'StrConv') -> str: """Convert an array into a pretty-printed multiline string representation. The format is tag( item1.. itemN) Individual items are formatted like this: - arrays are flattened - pairs (str, array) are converted recursively, so that str is the tag - other items are converted to strings and indented """ from mypy.types import Type, TypeStrVisitor a = [] # type: List[str] if tag: a.append(tag + '(') for n in nodes: if isinstance(n, list): if n: a.append(dump_tagged(n, None, str_conv)) elif isinstance(n, tuple): s = dump_tagged(n[1], n[0], str_conv) a.append(indent(s, 2)) elif isinstance(n, mypy.nodes.Node): a.append(indent(n.accept(str_conv), 2)) elif isinstance(n, Type): a.append(indent(n.accept(TypeStrVisitor(str_conv.id_mapper)), 2)) elif n: a.append(indent(str(n), 2)) if tag: a[-1] += ')' return '\n'.join(a) def indent(s: str, n: int) -> str: """Indent all the lines in s (separated by newlines) by n spaces.""" s = ' ' * n + s s = s.replace('\n', '\n' + ' ' * n) return s

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import re import os from typing import Any, List, Tuple, Optional, Union, Sequence from mypy.util import short_type, IdMapper import mypy.nodes from mypy.visitor import NodeVisitor class StrConv(NodeVisitor[str]): def __init__(self, show_ids: bool = False) -> None: self.show_ids = show_ids self.id_mapper = None if show_ids: self.id_mapper = IdMapper() def get_id(self, o: object) -> Optional[int]: if self.id_mapper: return self.id_mapper.id(o) return None def format_id(self, o: object) -> str: if self.id_mapper: return '<{}>'.format(self.get_id(o)) else: return '' def dump(self, nodes: Sequence[object], obj: 'mypy.nodes.Context') -> str: tag = short_type(obj) + ':' + str(obj.get_line()) if self.show_ids: assert self.id_mapper is not None tag += '<{}>'.format(self.get_id(obj)) return dump_tagged(nodes, tag, self) def func_helper(self, o: 'mypy.nodes.FuncItem') -> List[object]: args = [] extra = [] for arg in o.arguments: kind = arg.kind if kind in (mypy.nodes.ARG_POS, mypy.nodes.ARG_NAMED): args.append(arg.variable) elif kind in (mypy.nodes.ARG_OPT, mypy.nodes.ARG_NAMED_OPT): assert arg.initializer is not None args.append(('default', [arg.variable, arg.initializer])) elif kind == mypy.nodes.ARG_STAR: extra.append(('VarArg', [arg.variable])) elif kind == mypy.nodes.ARG_STAR2: extra.append(('DictVarArg', [arg.variable])) a = [] if args: a.append(('Args', args)) if o.type: a.append(o.type) if o.is_generator: a.append('Generator') a.extend(extra) a.append(o.body) return a def visit_mypy_file(self, o: 'mypy.nodes.MypyFile') -> str: a = [o.defs] if o.is_bom: a.insert(0, 'BOM') if o.path != 'main': .path.replace(os.sep, '/')) if o.ignored_lines: a.append('IgnoredLines(%s)' % ', '.join(str(line) for line in sorted(o.ignored_lines))) return self.dump(a, o) def visit_import(self, o: 'mypy.nodes.Import') -> str: a = [] for id, as_id in o.ids: if as_id is not None: a.append('{} : {}'.format(id, as_id)) else: a.append(id) return 'Import:{}({})'.format(o.line, ', '.join(a)) def visit_import_from(self, o: 'mypy.nodes.ImportFrom') -> str: a = [] for name, as_name in o.names: if as_name is not None: a.append('{} : {}'.format(name, as_name)) else: a.append(name) return 'ImportFrom:{}({}, [{}])'.format(o.line, "." * o.relative + o.id, ', '.join(a)) def visit_import_all(self, o: 'mypy.nodes.ImportAll') -> str: return 'ImportAll:{}({})'.format(o.line, "." * o.relative + o.id) def visit_func_def(self, o: 'mypy.nodes.FuncDef') -> str: a = self.func_helper(o) a.insert(0, o.name()) arg_kinds = {arg.kind for arg in o.arguments} if len(arg_kinds & {mypy.nodes.ARG_NAMED, mypy.nodes.ARG_NAMED_OPT}) > 0: a.insert(1, 'MaxPos({})'.format(o.max_pos)) if o.is_abstract: a.insert(-1, 'Abstract') if o.is_static: a.insert(-1, 'Static') if o.is_class: a.insert(-1, 'Class') if o.is_property: a.insert(-1, 'Property') return self.dump(a, o) def visit_overloaded_func_def(self, o: 'mypy.nodes.OverloadedFuncDef') -> str: a = o.items[:] if o.type: a.insert(0, o.type) if o.impl: a.insert(0, o.impl) if o.is_static: a.insert(-1, 'Static') if o.is_class: a.insert(-1, 'Class') return self.dump(a, o) def visit_class_def(self, o: 'mypy.nodes.ClassDef') -> str: a = [o.name, o.defs.body] if o.base_type_exprs: if o.info and o.info.bases: if (len(o.info.bases) != 1 or o.info.bases[0].type.fullname() != 'builtins.object'): a.insert(1, ('BaseType', o.info.bases)) else: a.insert(1, ('BaseTypeExpr', o.base_type_exprs)) if o.type_vars: a.insert(1, ('TypeVars', o.type_vars)) if o.metaclass: a.insert(1, 'Metaclass({})'.format(o.metaclass)) if o.decorators: a.insert(1, ('Decorators', o.decorators)) if o.info and o.info._promote: a.insert(1, 'Promote({})'.format(o.info._promote)) if o.info and o.info.tuple_type: a.insert(1, ('TupleType', [o.info.tuple_type])) if o.info and o.info.fallback_to_any: a.insert(1, 'FallbackToAny') return self.dump(a, o) def visit_var(self, o: 'mypy.nodes.Var') -> str: lst = '' if o.line < 0: lst = ':nil' return 'Var' + lst + '(' + o.name() + ')' def visit_global_decl(self, o: 'mypy.nodes.GlobalDecl') -> str: return self.dump([o.names], o) def visit_nonlocal_decl(self, o: 'mypy.nodes.NonlocalDecl') -> str: return self.dump([o.names], o) def visit_decorator(self, o: 'mypy.nodes.Decorator') -> str: return self.dump([o.var, o.decorators, o.func], o) def visit_block(self, o: 'mypy.nodes.Block') -> str: return self.dump(o.body, o) def visit_expression_stmt(self, o: 'mypy.nodes.ExpressionStmt') -> str: return self.dump([o.expr], o) def visit_assignment_stmt(self, o: 'mypy.nodes.AssignmentStmt') -> str: a = [] if len(o.lvalues) > 1: a = [('Lvalues', o.lvalues)] else: a = [o.lvalues[0]] a.append(o.rvalue) if o.type: a.append(o.type) return self.dump(a, o) def visit_operator_assignment_stmt(self, o: 'mypy.nodes.OperatorAssignmentStmt') -> str: return self.dump([o.op, o.lvalue, o.rvalue], o) def visit_while_stmt(self, o: 'mypy.nodes.WhileStmt') -> str: a = [o.expr, o.body] if o.else_body: a.append(('Else', o.else_body.body)) return self.dump(a, o) def visit_for_stmt(self, o: 'mypy.nodes.ForStmt') -> str: a = [] if o.is_async: a.append(('Async', '')) a.append(o.index) if o.index_type: a.append(o.index_type) a.extend([o.expr, o.body]) if o.else_body: a.append(('Else', o.else_body.body)) return self.dump(a, o) def visit_return_stmt(self, o: 'mypy.nodes.ReturnStmt') -> str: return self.dump([o.expr], o) def visit_if_stmt(self, o: 'mypy.nodes.IfStmt') -> str: a = [] for i in range(len(o.expr)): a.append(('If', [o.expr[i]])) a.append(('Then', o.body[i].body)) if not o.else_body: return self.dump(a, o) else: return self.dump([a, ('Else', o.else_body.body)], o) def visit_break_stmt(self, o: 'mypy.nodes.BreakStmt') -> str: return self.dump([], o) def visit_continue_stmt(self, o: 'mypy.nodes.ContinueStmt') -> str: return self.dump([], o) def visit_pass_stmt(self, o: 'mypy.nodes.PassStmt') -> str: return self.dump([], o) def visit_raise_stmt(self, o: 'mypy.nodes.RaiseStmt') -> str: return self.dump([o.expr, o.from_expr], o) def visit_assert_stmt(self, o: 'mypy.nodes.AssertStmt') -> str: if o.msg is not None: return self.dump([o.expr, o.msg], o) else: return self.dump([o.expr], o) def visit_await_expr(self, o: 'mypy.nodes.AwaitExpr') -> str: return self.dump([o.expr], o) def visit_del_stmt(self, o: 'mypy.nodes.DelStmt') -> str: return self.dump([o.expr], o) def visit_try_stmt(self, o: 'mypy.nodes.TryStmt') -> str: a = [o.body] for i in range(len(o.vars)): a.append(o.types[i]) if o.vars[i]: a.append(o.vars[i]) a.append(o.handlers[i]) if o.else_body: a.append(('Else', o.else_body.body)) if o.finally_body: a.append(('Finally', o.finally_body.body)) return self.dump(a, o) def visit_with_stmt(self, o: 'mypy.nodes.WithStmt') -> str: a = [] if o.is_async: a.append(('Async', '')) for i in range(len(o.expr)): a.append(('Expr', [o.expr[i]])) if o.target[i]: a.append(('Target', [o.target[i]])) if o.unanalyzed_type: a.append(o.unanalyzed_type) return self.dump(a + [o.body], o) def visit_print_stmt(self, o: 'mypy.nodes.PrintStmt') -> str: a = o.args[:] if o.target: a.append(('Target', [o.target])) if o.newline: a.append('Newline') return self.dump(a, o) def visit_exec_stmt(self, o: 'mypy.nodes.ExecStmt') -> str: return self.dump([o.expr, o.globals, o.locals], o) def visit_int_expr(self, o: 'mypy.nodes.IntExpr') -> str: return 'IntExpr({})'.format(o.value) def visit_str_expr(self, o: 'mypy.nodes.StrExpr') -> str: return 'StrExpr({})'.format(self.str_repr(o.value)) def visit_bytes_expr(self, o: 'mypy.nodes.BytesExpr') -> str: return 'BytesExpr({})'.format(self.str_repr(o.value)) def visit_unicode_expr(self, o: 'mypy.nodes.UnicodeExpr') -> str: return 'UnicodeExpr({})'.format(self.str_repr(o.value)) def str_repr(self, s: str) -> str: s = re.sub(r'\\u[0-9a-fA-F]{4}', lambda m: '\\' + m.group(0), s) return re.sub('[^\\x20-\\x7e]', lambda m: r'\u%.4x' % ord(m.group(0)), s) def visit_float_expr(self, o: 'mypy.nodes.FloatExpr') -> str: return 'FloatExpr({})'.format(o.value) def visit_complex_expr(self, o: 'mypy.nodes.ComplexExpr') -> str: return 'ComplexExpr({})'.format(o.value) def visit_ellipsis(self, o: 'mypy.nodes.EllipsisExpr') -> str: return 'Ellipsis' def visit_star_expr(self, o: 'mypy.nodes.StarExpr') -> str: return self.dump([o.expr], o) def visit_name_expr(self, o: 'mypy.nodes.NameExpr') -> str: pretty = self.pretty_name(o.name, o.kind, o.fullname, o.is_inferred_def or o.is_special_form, o.node) if isinstance(o.node, mypy.nodes.Var) and o.node.is_final: pretty += ' = {}'.format(o.node.final_value) return short_type(o) + '(' + pretty + ')' def pretty_name(self, name: str, kind: Optional[int], fullname: Optional[str], is_inferred_def: bool, target_node: 'Optional[mypy.nodes.Node]' = None) -> str: n = name if is_inferred_def: n += '*' if target_node: id = self.format_id(target_node) else: id = '' if isinstance(target_node, mypy.nodes.MypyFile) and name == fullname: n += id elif kind == mypy.nodes.GDEF or (fullname != name and fullname is not None): n += ' [{}{}]'.format(fullname, id) elif kind == mypy.nodes.LDEF: n += ' [l{}]'.format(id) elif kind == mypy.nodes.MDEF: n += ' [m{}]'.format(id) else: n += id return n def visit_member_expr(self, o: 'mypy.nodes.MemberExpr') -> str: pretty = self.pretty_name(o.name, o.kind, o.fullname, o.is_inferred_def, o.node) return self.dump([o.expr, pretty], o) def visit_yield_expr(self, o: 'mypy.nodes.YieldExpr') -> str: return self.dump([o.expr], o) def visit_yield_from_expr(self, o: 'mypy.nodes.YieldFromExpr') -> str: if o.expr: return self.dump([o.expr.accept(self)], o) else: return self.dump([], o) def visit_call_expr(self, o: 'mypy.nodes.CallExpr') -> str: if o.analyzed: return o.analyzed.accept(self) args = [] extra = [] for i, kind in enumerate(o.arg_kinds): if kind in [mypy.nodes.ARG_POS, mypy.nodes.ARG_STAR]: args.append(o.args[i]) if kind == mypy.nodes.ARG_STAR: extra.append('VarArg') elif kind == mypy.nodes.ARG_NAMED: extra.append(('KwArgs', [o.arg_names[i], o.args[i]])) elif kind == mypy.nodes.ARG_STAR2: extra.append(('DictVarArg', [o.args[i]])) else: raise RuntimeError('unknown kind %d' % kind) a = [o.callee, ('Args', args)] return self.dump(a + extra, o) def visit_op_expr(self, o: 'mypy.nodes.OpExpr') -> str: return self.dump([o.op, o.left, o.right], o) def visit_comparison_expr(self, o: 'mypy.nodes.ComparisonExpr') -> str: return self.dump([o.operators, o.operands], o) def visit_cast_expr(self, o: 'mypy.nodes.CastExpr') -> str: return self.dump([o.expr, o.type], o) def visit_reveal_expr(self, o: 'mypy.nodes.RevealExpr') -> str: if o.kind == mypy.nodes.REVEAL_TYPE: return self.dump([o.expr], o) else: return self.dump([o.local_nodes], o) def visit_unary_expr(self, o: 'mypy.nodes.UnaryExpr') -> str: return self.dump([o.op, o.expr], o) def visit_list_expr(self, o: 'mypy.nodes.ListExpr') -> str: return self.dump(o.items, o) def visit_dict_expr(self, o: 'mypy.nodes.DictExpr') -> str: return self.dump([[k, v] for k, v in o.items], o) def visit_set_expr(self, o: 'mypy.nodes.SetExpr') -> str: return self.dump(o.items, o) def visit_tuple_expr(self, o: 'mypy.nodes.TupleExpr') -> str: return self.dump(o.items, o) def visit_index_expr(self, o: 'mypy.nodes.IndexExpr') -> str: if o.analyzed: return o.analyzed.accept(self) return self.dump([o.base, o.index], o) def visit_super_expr(self, o: 'mypy.nodes.SuperExpr') -> str: return self.dump([o.name, o.call], o) def visit_type_application(self, o: 'mypy.nodes.TypeApplication') -> str: return self.dump([o.expr, ('Types', o.types)], o) def visit_type_var_expr(self, o: 'mypy.nodes.TypeVarExpr') -> str: import mypy.types a = [] if o.variance == mypy.nodes.COVARIANT: a += ['Variance(COVARIANT)'] if o.variance == mypy.nodes.CONTRAVARIANT: a += ['Variance(CONTRAVARIANT)'] if o.values: a += [('Values', o.values)] if not mypy.types.is_named_instance(o.upper_bound, 'builtins.object'): a += ['UpperBound({})'.format(o.upper_bound)] return self.dump(a, o) def visit_type_alias_expr(self, o: 'mypy.nodes.TypeAliasExpr') -> str: return 'TypeAliasExpr({})'.format(o.type) def visit_namedtuple_expr(self, o: 'mypy.nodes.NamedTupleExpr') -> str: return 'NamedTupleExpr:{}({}, {})'.format(o.line, o.info.name(), o.info.tuple_type) def visit_enum_call_expr(self, o: 'mypy.nodes.EnumCallExpr') -> str: return 'EnumCallExpr:{}({}, {})'.format(o.line, o.info.name(), o.items) def visit_typeddict_expr(self, o: 'mypy.nodes.TypedDictExpr') -> str: return 'TypedDictExpr:{}({})'.format(o.line, o.info.name()) def visit__promote_expr(self, o: 'mypy.nodes.PromoteExpr') -> str: return 'PromoteExpr:{}({})'.format(o.line, o.type) def visit_newtype_expr(self, o: 'mypy.nodes.NewTypeExpr') -> str: return 'NewTypeExpr:{}({}, {})'.format(o.line, o.name, self.dump([o.old_type], o)) def visit_lambda_expr(self, o: 'mypy.nodes.LambdaExpr') -> str: a = self.func_helper(o) return self.dump(a, o) def visit_generator_expr(self, o: 'mypy.nodes.GeneratorExpr') -> str: condlists = o.condlists if any(o.condlists) else None return self.dump([o.left_expr, o.indices, o.sequences, condlists], o) def visit_list_comprehension(self, o: 'mypy.nodes.ListComprehension') -> str: return self.dump([o.generator], o) def visit_set_comprehension(self, o: 'mypy.nodes.SetComprehension') -> str: return self.dump([o.generator], o) def visit_dictionary_comprehension(self, o: 'mypy.nodes.DictionaryComprehension') -> str: condlists = o.condlists if any(o.condlists) else None return self.dump([o.key, o.value, o.indices, o.sequences, condlists], o) def visit_conditional_expr(self, o: 'mypy.nodes.ConditionalExpr') -> str: return self.dump([('Condition', [o.cond]), o.if_expr, o.else_expr], o) def visit_slice_expr(self, o: 'mypy.nodes.SliceExpr') -> str: a = [o.begin_index, o.end_index, o.stride] if not a[0]: a[0] = '<empty>' if not a[1]: a[1] = '<empty>' return self.dump(a, o) def visit_backquote_expr(self, o: 'mypy.nodes.BackquoteExpr') -> str: return self.dump([o.expr], o) def visit_temp_node(self, o: 'mypy.nodes.TempNode') -> str: return self.dump([o.type], o) def dump_tagged(nodes: Sequence[object], tag: Optional[str], str_conv: 'StrConv') -> str: from mypy.types import Type, TypeStrVisitor a = [] if tag: a.append(tag + '(') for n in nodes: if isinstance(n, list): if n: a.append(dump_tagged(n, None, str_conv)) elif isinstance(n, tuple): s = dump_tagged(n[1], n[0], str_conv) a.append(indent(s, 2)) elif isinstance(n, mypy.nodes.Node): a.append(indent(n.accept(str_conv), 2)) elif isinstance(n, Type): a.append(indent(n.accept(TypeStrVisitor(str_conv.id_mapper)), 2)) elif n: a.append(indent(str(n), 2)) if tag: a[-1] += ')' return '\n'.join(a) def indent(s: str, n: int) -> str: s = ' ' * n + s s = s.replace('\n', '\n' + ' ' * n) return s

true

f7fc31939e9ca40dd0aed2e47b62e9a57d15ffaf

6,742

py

Python

nova/tests/unit/console/rfb/test_authvencrypt.py

zjzh/nova

7bb21723171c59b93e28f5d508c2b6df39220f13

[ "Apache-2.0" ]

1,874

2015-01-04T05:18:34.000Z

2022-03-31T03:30:28.000Z

nova/tests/unit/console/rfb/test_authvencrypt.py

woraser/nova

fc3890667e4971e3f0f35ac921c2a6c25f72adec

[ "Apache-2.0" ]

132

2017-03-27T11:31:52.000Z

2022-03-30T08:45:02.000Z

nova/tests/unit/console/rfb/test_authvencrypt.py

woraser/nova

fc3890667e4971e3f0f35ac921c2a6c25f72adec

[ "Apache-2.0" ]

1,996

2015-01-04T15:11:51.000Z

2022-03-31T11:03:13.000Z

# Copyright (c) 2016 Red Hat, Inc # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import ssl import struct import mock from nova.console.rfb import auth from nova.console.rfb import authvencrypt from nova import exception from nova import test class RFBAuthSchemeVeNCryptTestCase(test.NoDBTestCase): def setUp(self): super(RFBAuthSchemeVeNCryptTestCase, self).setUp() self.scheme = authvencrypt.RFBAuthSchemeVeNCrypt() self.compute_sock = mock.MagicMock() self.compute_sock.recv.side_effect = [] self.expected_calls = [] self.flags(vencrypt_ca_certs="/certs/ca.pem", group="vnc") def _expect_send(self, val): self.expected_calls.append(mock.call.sendall(val)) def _expect_recv(self, amt, ret_val): self.expected_calls.append(mock.call.recv(amt)) self.compute_sock.recv.side_effect = ( list(self.compute_sock.recv.side_effect) + [ret_val]) @mock.patch.object(ssl, "wrap_socket", return_value="wrapped") def test_security_handshake_with_x509(self, mock_socket): self.flags(vencrypt_client_key='/certs/keyfile', vencrypt_client_cert='/certs/cert.pem', group="vnc") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509NONE, authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!2I', *subtypes_raw) self._expect_recv(8, subtypes) self._expect_send(struct.pack('!I', subtypes_raw[0])) self._expect_recv(1, "\x01") self.assertEqual("wrapped", self.scheme.security_handshake( self.compute_sock)) mock_socket.assert_called_once_with( self.compute_sock, keyfile='/certs/keyfile', certfile='/certs/cert.pem', server_side=False, cert_reqs=ssl.CERT_REQUIRED, ca_certs='/certs/ca.pem') self.assertEqual(self.expected_calls, self.compute_sock.mock_calls) @mock.patch.object(ssl, "wrap_socket", return_value="wrapped") def test_security_handshake_without_x509(self, mock_socket): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509NONE, authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!2I', *subtypes_raw) self._expect_recv(8, subtypes) self._expect_send(struct.pack('!I', subtypes_raw[0])) self._expect_recv(1, "\x01") self.assertEqual("wrapped", self.scheme.security_handshake( self.compute_sock)) mock_socket.assert_called_once_with( self.compute_sock, keyfile=None, certfile=None, server_side=False, cert_reqs=ssl.CERT_REQUIRED, ca_certs='/certs/ca.pem' ) self.assertEqual(self.expected_calls, self.compute_sock.mock_calls) def _test_security_handshake_fails(self): self.assertRaises(exception.RFBAuthHandshakeFailed, self.scheme.security_handshake, self.compute_sock) self.assertEqual(self.expected_calls, self.compute_sock.mock_calls) def test_security_handshake_fails_on_low_version(self): self._expect_recv(1, "\x00") self._expect_recv(1, "\x01") self._test_security_handshake_fails() def test_security_handshake_fails_on_cant_use_version(self): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x01") self._test_security_handshake_fails() def test_security_handshake_fails_on_missing_subauth(self): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x01") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!I', *subtypes_raw) self._expect_recv(4, subtypes) self._test_security_handshake_fails() def test_security_handshake_fails_on_auth_not_accepted(self): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509NONE, authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!2I', *subtypes_raw) self._expect_recv(8, subtypes) self._expect_send(struct.pack('!I', subtypes_raw[0])) self._expect_recv(1, "\x00") self._test_security_handshake_fails() @mock.patch.object(ssl, "wrap_socket") def test_security_handshake_fails_on_ssl_failure(self, mock_socket): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509NONE, authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!2I', *subtypes_raw) self._expect_recv(8, subtypes) self._expect_send(struct.pack('!I', subtypes_raw[0])) self._expect_recv(1, "\x01") mock_socket.side_effect = ssl.SSLError("cheese") self._test_security_handshake_fails() mock_socket.assert_called_once_with( self.compute_sock, keyfile=None, certfile=None, server_side=False, cert_reqs=ssl.CERT_REQUIRED, ca_certs='/certs/ca.pem' ) def test_types(self): scheme = authvencrypt.RFBAuthSchemeVeNCrypt() self.assertEqual(auth.AuthType.VENCRYPT, scheme.security_type())

33.04902

75

0.649214

import ssl import struct import mock from nova.console.rfb import auth from nova.console.rfb import authvencrypt from nova import exception from nova import test class RFBAuthSchemeVeNCryptTestCase(test.NoDBTestCase): def setUp(self): super(RFBAuthSchemeVeNCryptTestCase, self).setUp() self.scheme = authvencrypt.RFBAuthSchemeVeNCrypt() self.compute_sock = mock.MagicMock() self.compute_sock.recv.side_effect = [] self.expected_calls = [] self.flags(vencrypt_ca_certs="/certs/ca.pem", group="vnc") def _expect_send(self, val): self.expected_calls.append(mock.call.sendall(val)) def _expect_recv(self, amt, ret_val): self.expected_calls.append(mock.call.recv(amt)) self.compute_sock.recv.side_effect = ( list(self.compute_sock.recv.side_effect) + [ret_val]) @mock.patch.object(ssl, "wrap_socket", return_value="wrapped") def test_security_handshake_with_x509(self, mock_socket): self.flags(vencrypt_client_key='/certs/keyfile', vencrypt_client_cert='/certs/cert.pem', group="vnc") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509NONE, authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!2I', *subtypes_raw) self._expect_recv(8, subtypes) self._expect_send(struct.pack('!I', subtypes_raw[0])) self._expect_recv(1, "\x01") self.assertEqual("wrapped", self.scheme.security_handshake( self.compute_sock)) mock_socket.assert_called_once_with( self.compute_sock, keyfile='/certs/keyfile', certfile='/certs/cert.pem', server_side=False, cert_reqs=ssl.CERT_REQUIRED, ca_certs='/certs/ca.pem') self.assertEqual(self.expected_calls, self.compute_sock.mock_calls) @mock.patch.object(ssl, "wrap_socket", return_value="wrapped") def test_security_handshake_without_x509(self, mock_socket): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509NONE, authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!2I', *subtypes_raw) self._expect_recv(8, subtypes) self._expect_send(struct.pack('!I', subtypes_raw[0])) self._expect_recv(1, "\x01") self.assertEqual("wrapped", self.scheme.security_handshake( self.compute_sock)) mock_socket.assert_called_once_with( self.compute_sock, keyfile=None, certfile=None, server_side=False, cert_reqs=ssl.CERT_REQUIRED, ca_certs='/certs/ca.pem' ) self.assertEqual(self.expected_calls, self.compute_sock.mock_calls) def _test_security_handshake_fails(self): self.assertRaises(exception.RFBAuthHandshakeFailed, self.scheme.security_handshake, self.compute_sock) self.assertEqual(self.expected_calls, self.compute_sock.mock_calls) def test_security_handshake_fails_on_low_version(self): self._expect_recv(1, "\x00") self._expect_recv(1, "\x01") self._test_security_handshake_fails() def test_security_handshake_fails_on_cant_use_version(self): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x01") self._test_security_handshake_fails() def test_security_handshake_fails_on_missing_subauth(self): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x01") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!I', *subtypes_raw) self._expect_recv(4, subtypes) self._test_security_handshake_fails() def test_security_handshake_fails_on_auth_not_accepted(self): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509NONE, authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!2I', *subtypes_raw) self._expect_recv(8, subtypes) self._expect_send(struct.pack('!I', subtypes_raw[0])) self._expect_recv(1, "\x00") self._test_security_handshake_fails() @mock.patch.object(ssl, "wrap_socket") def test_security_handshake_fails_on_ssl_failure(self, mock_socket): self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") self._expect_send(b"\x00\x02") self._expect_recv(1, "\x00") self._expect_recv(1, "\x02") subtypes_raw = [authvencrypt.AuthVeNCryptSubtype.X509NONE, authvencrypt.AuthVeNCryptSubtype.X509VNC] subtypes = struct.pack('!2I', *subtypes_raw) self._expect_recv(8, subtypes) self._expect_send(struct.pack('!I', subtypes_raw[0])) self._expect_recv(1, "\x01") mock_socket.side_effect = ssl.SSLError("cheese") self._test_security_handshake_fails() mock_socket.assert_called_once_with( self.compute_sock, keyfile=None, certfile=None, server_side=False, cert_reqs=ssl.CERT_REQUIRED, ca_certs='/certs/ca.pem' ) def test_types(self): scheme = authvencrypt.RFBAuthSchemeVeNCrypt() self.assertEqual(auth.AuthType.VENCRYPT, scheme.security_type())

true

f7fc322df332623c80f3aa76597ca74e3f4bc9f2

932

py

Python

data_persistence_and_exchagne/shelve/shelve_writeback.py

Nobodylesszb/python_module

37d2cdcf89a3ff02a9e560696a059cec9272bd1f

[ "MIT" ]

null

data_persistence_and_exchagne/shelve/shelve_writeback.py

Nobodylesszb/python_module

37d2cdcf89a3ff02a9e560696a059cec9272bd1f

[ "MIT" ]

null

data_persistence_and_exchagne/shelve/shelve_writeback.py

Nobodylesszb/python_module

37d2cdcf89a3ff02a9e560696a059cec9272bd1f

[ "MIT" ]

null

# 要自动捕获对存储在架子中的易失性对象的更改， # 请在启用写回的情况下打开它。该writeback标志使货架记住使用内存缓存从数据库中检索的所有对象。 # 当货架关闭时，每个缓存对象也会写回数据库。 import shelve import pprint with shelve.open('test_shelf.db', writeback=True) as s: print('Initial data:') pprint.pprint(s['key']) s['key']['new_value'] = 'this was not here before' print('\nModified:') pprint.pprint(s['key']) with shelve.open('test_shelf.db', writeback=True) as s: print('\nPreserved:') pprint.pprint(s['key']) #虽然它减少了程序员错误的可能性，并且可以使对象持久性更加透明， # 但在任何情况下都可能不希望使用回写模式。当磁盘架打开时，缓存会消耗额外的内存， # 并且当它关闭时暂停将每个缓存的对象写回数据库会减慢应用程序的速度。所有缓存的对象都写回数据库，因为无法判断它们是否已被修改。 # 如果应用程序读取的数据多于写入数据，则回写将不必要地影响性能。 """ output: Initial data: {'float': 9.5, 'int': 10, 'string': 'Sample data'} Modified: {'float': 9.5, 'int': 10, 'new_value': 'this was not here before', 'string': 'Sample data'} Preserved: {'float': 9.5, 'int': 10, 'new_value': 'this was not here before', 'string': 'Sample data'} """

22.731707

64

0.698498

import shelve import pprint with shelve.open('test_shelf.db', writeback=True) as s: print('Initial data:') pprint.pprint(s['key']) s['key']['new_value'] = 'this was not here before' print('\nModified:') pprint.pprint(s['key']) with shelve.open('test_shelf.db', writeback=True) as s: print('\nPreserved:') pprint.pprint(s['key'])

true

f7fc323971461bc74dce5ff3eb6e656303b0e6f6

233,019

py

Python

tensorflow/python/ops/array_ops.py

dmpiergiacomo/tensorflow

0ecdc6dc2dbc2381c9317f274bd39281294dfc97

[ "Apache-2.0" ]

6

2021-03-30T07:42:04.000Z

2022-03-23T02:42:36.000Z

tensorflow/python/ops/array_ops.py

dmpiergiacomo/tensorflow

0ecdc6dc2dbc2381c9317f274bd39281294dfc97

[ "Apache-2.0" ]

7

2021-02-21T21:05:59.000Z

2022-02-10T01:39:06.000Z

tensorflow/python/ops/array_ops.py

dmpiergiacomo/tensorflow

0ecdc6dc2dbc2381c9317f274bd39281294dfc97

[ "Apache-2.0" ]

5

2016-11-07T21:17:45.000Z

2020-05-31T00:16:59.000Z

# Copyright 2015 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. # ============================================================================== # Tests for this file live in python/kernel_tests/array_ops_test.py """Support for manipulating tensors.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import numbers import numpy as np from tensorflow.python.eager import context from tensorflow.python.framework import common_shapes from tensorflow.python.framework import composite_tensor from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import ops from tensorflow.python.framework import sparse_tensor from tensorflow.python.framework import tensor_shape from tensorflow.python.framework import tensor_util # 'Constant' gets imported in the module 'array_ops'. from tensorflow.python.framework.constant_op import constant from tensorflow.python.ops import gen_array_ops from tensorflow.python.ops import gen_math_ops # go/tf-wildcard-import # pylint: disable=wildcard-import from tensorflow.python.ops.gen_array_ops import * from tensorflow.python.ops.gen_array_ops import reverse_v2 as reverse # pylint: disable=unused-import from tensorflow.python.types import core from tensorflow.python.util import deprecation from tensorflow.python.util import dispatch from tensorflow.python.util import nest from tensorflow.python.util import tf_decorator from tensorflow.python.util.tf_export import tf_export # pylint: enable=wildcard-import # Used for slicing to specify a new 1 size dimension newaxis = None tf_export("newaxis").export_constant(__name__, "newaxis") # We override the 'slice' for the "slice" op, so we keep Python's # existing 'slice' for later use in this module. _BaseSlice = slice @tf_export("reshape", v1=["reshape", "manip.reshape"]) @dispatch.add_dispatch_support def reshape(tensor, shape, name=None): # pylint: disable=redefined-outer-name r"""Reshapes a tensor. Given `tensor`, this operation returns a new `tf.Tensor` that has the same values as `tensor` in the same order, except with a new shape given by `shape`. >>> t1 = [[1, 2, 3], ... [4, 5, 6]] >>> print(tf.shape(t1).numpy()) [2 3] >>> t2 = tf.reshape(t1, [6]) >>> t2 <tf.Tensor: shape=(6,), dtype=int32, numpy=array([1, 2, 3, 4, 5, 6], dtype=int32)> >>> tf.reshape(t2, [3, 2]) <tf.Tensor: shape=(3, 2), dtype=int32, numpy= array([[1, 2], [3, 4], [5, 6]], dtype=int32)> The `tf.reshape` does not change the order of or the total number of elements in the tensor, and so it can reuse the underlying data buffer. This makes it a fast operation independent of how big of a tensor it is operating on. >>> tf.reshape([1, 2, 3], [2, 2]) Traceback (most recent call last): ... InvalidArgumentError: Input to reshape is a tensor with 3 values, but the requested shape has 4 To instead reorder the data to rearrange the dimensions of a tensor, see `tf.transpose`. >>> t = [[1, 2, 3], ... [4, 5, 6]] >>> tf.reshape(t, [3, 2]).numpy() array([[1, 2], [3, 4], [5, 6]], dtype=int32) >>> tf.transpose(t, perm=[1, 0]).numpy() array([[1, 4], [2, 5], [3, 6]], dtype=int32) If one component of `shape` is the special value -1, the size of that dimension is computed so that the total size remains constant. In particular, a `shape` of `[-1]` flattens into 1-D. At most one component of `shape` can be -1. >>> t = [[1, 2, 3], ... [4, 5, 6]] >>> tf.reshape(t, [-1]) <tf.Tensor: shape=(6,), dtype=int32, numpy=array([1, 2, 3, 4, 5, 6], dtype=int32)> >>> tf.reshape(t, [3, -1]) <tf.Tensor: shape=(3, 2), dtype=int32, numpy= array([[1, 2], [3, 4], [5, 6]], dtype=int32)> >>> tf.reshape(t, [-1, 2]) <tf.Tensor: shape=(3, 2), dtype=int32, numpy= array([[1, 2], [3, 4], [5, 6]], dtype=int32)> `tf.reshape(t, [])` reshapes a tensor `t` with one element to a scalar. >>> tf.reshape([7], []).numpy() 7 More examples: >>> t = [1, 2, 3, 4, 5, 6, 7, 8, 9] >>> print(tf.shape(t).numpy()) [9] >>> tf.reshape(t, [3, 3]) <tf.Tensor: shape=(3, 3), dtype=int32, numpy= array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype=int32)> >>> t = [[[1, 1], [2, 2]], ... [[3, 3], [4, 4]]] >>> print(tf.shape(t).numpy()) [2 2 2] >>> tf.reshape(t, [2, 4]) <tf.Tensor: shape=(2, 4), dtype=int32, numpy= array([[1, 1, 2, 2], [3, 3, 4, 4]], dtype=int32)> >>> t = [[[1, 1, 1], ... [2, 2, 2]], ... [[3, 3, 3], ... [4, 4, 4]], ... [[5, 5, 5], ... [6, 6, 6]]] >>> print(tf.shape(t).numpy()) [3 2 3] >>> # Pass '[-1]' to flatten 't'. >>> tf.reshape(t, [-1]) <tf.Tensor: shape=(18,), dtype=int32, numpy=array([1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6], dtype=int32)> >>> # -- Using -1 to infer the shape -- >>> # Here -1 is inferred to be 9: >>> tf.reshape(t, [2, -1]) <tf.Tensor: shape=(2, 9), dtype=int32, numpy= array([[1, 1, 1, 2, 2, 2, 3, 3, 3], [4, 4, 4, 5, 5, 5, 6, 6, 6]], dtype=int32)> >>> # -1 is inferred to be 2: >>> tf.reshape(t, [-1, 9]) <tf.Tensor: shape=(2, 9), dtype=int32, numpy= array([[1, 1, 1, 2, 2, 2, 3, 3, 3], [4, 4, 4, 5, 5, 5, 6, 6, 6]], dtype=int32)> >>> # -1 is inferred to be 3: >>> tf.reshape(t, [ 2, -1, 3]) <tf.Tensor: shape=(2, 3, 3), dtype=int32, numpy= array([[[1, 1, 1], [2, 2, 2], [3, 3, 3]], [[4, 4, 4], [5, 5, 5], [6, 6, 6]]], dtype=int32)> Args: tensor: A `Tensor`. shape: A `Tensor`. Must be one of the following types: `int32`, `int64`. Defines the shape of the output tensor. name: Optional string. A name for the operation. Returns: A `Tensor`. Has the same type as `tensor`. """ result = gen_array_ops.reshape(tensor, shape, name) tensor_util.maybe_set_static_shape(result, shape) return result @tf_export("fill") @dispatch.add_dispatch_support def fill(dims, value, name=None): r"""Creates a tensor filled with a scalar value. See also `tf.ones`, `tf.zeros`, `tf.one_hot`, `tf.eye`. This operation creates a tensor of shape `dims` and fills it with `value`. For example: >>> tf.fill([2, 3], 9) <tf.Tensor: shape=(2, 3), dtype=int32, numpy= array([[9, 9, 9], [9, 9, 9]], dtype=int32)> `tf.fill` evaluates at graph runtime and supports dynamic shapes based on other runtime `tf.Tensors`, unlike `tf.constant(value, shape=dims)`, which embeds the value as a `Const` node. Args: dims: A 1-D sequence of non-negative numbers. Represents the shape of the output `tf.Tensor`. Entries should be of type: `int32`, `int64`. value: A value to fill the returned `tf.Tensor`. name: Optional string. The name of the output `tf.Tensor`. Returns: A `tf.Tensor` with shape `dims` and the same dtype as `value`. Raises: InvalidArgumentError: `dims` contains negative entries. NotFoundError: `dims` contains non-integer entries. @compatibility(numpy) Similar to `np.full`. In `numpy`, more parameters are supported. Passing a number argument as the shape (`np.full(5, value)`) is valid in `numpy` for specifying a 1-D shaped result, while TensorFlow does not support this syntax. @end_compatibility """ result = gen_array_ops.fill(dims, value, name=name) tensor_util.maybe_set_static_shape(result, dims) return result @tf_export("identity") @dispatch.add_dispatch_support def identity(input, name=None): # pylint: disable=redefined-builtin r"""Return a Tensor with the same shape and contents as input. The return value is not the same Tensor as the original, but contains the same values. This operation is fast when used on the same device. For example: >>> a = tf.constant([0.78]) >>> a_identity = tf.identity(a) >>> a.numpy() array([0.78], dtype=float32) >>> a_identity.numpy() array([0.78], dtype=float32) Calling `tf.identity` on a variable will make a Tensor that represents the value of that variable at the time it is called. This is equivalent to calling `<variable>.read_value()`. >>> a = tf.Variable(5) >>> a_identity = tf.identity(a) >>> a.assign_add(1) <tf.Variable ... shape=() dtype=int32, numpy=6> >>> a.numpy() 6 >>> a_identity.numpy() 5 Args: input: A `Tensor`, a `Variable`, a `CompositeTensor` or anything that can be converted to a tensor using `tf.convert_to_tensor`. name: A name for the operation (optional). Returns: A `Tensor` or CompositeTensor. Has the same type and contents as `input`. """ if isinstance(input, composite_tensor.CompositeTensor): return nest.map_structure(identity, input, expand_composites=True) if context.executing_eagerly() and not hasattr(input, "graph"): # Make sure we get an input with handle data attached from resource # variables. Variables have correct handle data when graph building. input = ops.convert_to_tensor(input) ret = gen_array_ops.identity(input, name=name) # Propagate handle data for happier shape inference for resource variables. if hasattr(input, "_handle_data"): ret._handle_data = input._handle_data # pylint: disable=protected-access return ret # pylint: disable=redefined-builtin,protected-access @tf_export(v1=["expand_dims"]) @dispatch.add_dispatch_support @deprecation.deprecated_args(None, "Use the `axis` argument instead", "dim") def expand_dims(input, axis=None, name=None, dim=None): """Returns a tensor with a length 1 axis inserted at index `axis`. Given a tensor `input`, this operation inserts a dimension of length 1 at the dimension index `axis` of `input`'s shape. The dimension index follows Python indexing rules: It's zero-based, a negative index it is counted backward from the end. This operation is useful to: * Add an outer "batch" dimension to a single element. * Align axes for broadcasting. * To add an inner vector length axis to a tensor of scalars. For example: If you have a single image of shape `[height, width, channels]`: >>> image = tf.zeros([10,10,3]) You can add an outer `batch` axis by passing `axis=0`: >>> tf.expand_dims(image, axis=0).shape.as_list() [1, 10, 10, 3] The new axis location matches Python `list.insert(axis, 1)`: >>> tf.expand_dims(image, axis=1).shape.as_list() [10, 1, 10, 3] Following standard Python indexing rules, a negative `axis` counts from the end so `axis=-1` adds an inner most dimension: >>> tf.expand_dims(image, -1).shape.as_list() [10, 10, 3, 1] This operation requires that `axis` is a valid index for `input.shape`, following Python indexing rules: ``` -1-tf.rank(input) <= axis <= tf.rank(input) ``` This operation is related to: * `tf.squeeze`, which removes dimensions of size 1. * `tf.reshape`, which provides more flexible reshaping capability. * `tf.sparse.expand_dims`, which provides this functionality for `tf.SparseTensor` Args: input: A `Tensor`. axis: 0-D (scalar). Specifies the dimension index at which to expand the shape of `input`. Must be in the range `[-rank(input) - 1, rank(input)]`. name: The name of the output `Tensor` (optional). dim: 0-D (scalar). Equivalent to `axis`, to be deprecated. Returns: A `Tensor` with the same data as `input`, but its shape has an additional dimension of size 1 added. Raises: ValueError: if either both or neither of `dim` and `axis` are specified. """ axis = deprecation.deprecated_argument_lookup("axis", axis, "dim", dim) if axis is None: raise ValueError("Must specify an axis argument to tf.expand_dims()") return expand_dims_v2(input, axis, name) @tf_export("expand_dims", v1=[]) @dispatch.add_dispatch_support def expand_dims_v2(input, axis, name=None): """Returns a tensor with a length 1 axis inserted at index `axis`. Given a tensor `input`, this operation inserts a dimension of length 1 at the dimension index `axis` of `input`'s shape. The dimension index follows Python indexing rules: It's zero-based, a negative index it is counted backward from the end. This operation is useful to: * Add an outer "batch" dimension to a single element. * Align axes for broadcasting. * To add an inner vector length axis to a tensor of scalars. For example: If you have a single image of shape `[height, width, channels]`: >>> image = tf.zeros([10,10,3]) You can add an outer `batch` axis by passing `axis=0`: >>> tf.expand_dims(image, axis=0).shape.as_list() [1, 10, 10, 3] The new axis location matches Python `list.insert(axis, 1)`: >>> tf.expand_dims(image, axis=1).shape.as_list() [10, 1, 10, 3] Following standard Python indexing rules, a negative `axis` counts from the end so `axis=-1` adds an inner most dimension: >>> tf.expand_dims(image, -1).shape.as_list() [10, 10, 3, 1] This operation requires that `axis` is a valid index for `input.shape`, following Python indexing rules: ``` -1-tf.rank(input) <= axis <= tf.rank(input) ``` This operation is related to: * `tf.squeeze`, which removes dimensions of size 1. * `tf.reshape`, which provides more flexible reshaping capability. * `tf.sparse.expand_dims`, which provides this functionality for `tf.SparseTensor` Args: input: A `Tensor`. axis: Integer specifying the dimension index at which to expand the shape of `input`. Given an input of D dimensions, `axis` must be in range `[-(D+1), D]` (inclusive). name: Optional string. The name of the output `Tensor`. Returns: A tensor with the same data as `input`, with an additional dimension inserted at the index specified by `axis`. Raises: ValueError: If `axis` is not specified. InvalidArgumentError: If `axis` is out of range `[-(D+1), D]`. """ return gen_array_ops.expand_dims(input, axis, name) # pylint: enable=redefined-builtin,protected-access # Aliases for some automatically-generated names. # pylint: disable=protected-access @deprecation.deprecated("2016-11-30", "This op will be removed after the deprecation date. " "Please switch to tf.setdiff1d().") def listdiff(x, y, out_idx=None, name=None): return gen_array_ops.list_diff(x, y, out_idx, name) listdiff.__doc__ = gen_array_ops.list_diff.__doc__ + "\n" + listdiff.__doc__ # pylint: enable=protected-access # pylint: disable=undefined-variable @deprecation.deprecated("2018-11-30", "This op will be removed after the deprecation date. " "Please switch to tf.sets.difference().") @tf_export(v1=["setdiff1d"]) @dispatch.add_dispatch_support def setdiff1d(x, y, index_dtype=dtypes.int32, name=None): """Computes the difference between two lists of numbers or strings. Given a list x and a list y, this operation returns a list out that represents all values that are in x but not in y. The returned list out is sorted in the same order that the numbers appear in x (duplicates are preserved). This operation also returns a list idx that represents the position of each out element in x. In other words: ```python out[i] = x[idx[i]] for i in [0, 1, ..., len(out) - 1] ``` Example usage: >>> x = [1, 2, 3, 4, 5, 6] >>> y = [1, 3, 5] >>> setdiff1d(x,y) ListDiff(out=<tf.Tensor: id=2, shape=(3,), dtype=int32, numpy=array([2, 4, 6], dtype=int32)>, idx=<tf.Tensor: id=3, shape=(3,), dtype=int32, numpy=array([1, 3, 5], dtype=int32)>) Args: x: A Tensor. 1-D. Values to keep. y: A Tensor. Must have the same type as x. 1-D. Values to remove. out_idx: An optional tf.DType from: tf.int32, tf.int64. Defaults to tf.int32. name: A name for the operation (optional). Returns: A tuple of Tensor objects (out, idx). out: A Tensor. Has the same type as x. idx: A Tensor of type out_idx. """ return gen_array_ops.list_diff(x, y, index_dtype, name) setdiff1d.__doc__ = gen_array_ops.list_diff.__doc__ @tf_export("broadcast_dynamic_shape") @dispatch.add_dispatch_support def broadcast_dynamic_shape(shape_x, shape_y): """Computes the shape of a broadcast given symbolic shapes. When `shape_x` and `shape_y` are Tensors representing shapes (i.e. the result of calling tf.shape on another Tensor) this computes a Tensor which is the shape of the result of a broadcasting op applied in tensors of shapes `shape_x` and `shape_y`. This is useful when validating the result of a broadcasting operation when the tensors do not have statically known shapes. Example: >>> shape_x = (1, 2, 3) >>> shape_y = (5, 1, 3) >>> tf.broadcast_dynamic_shape(shape_x, shape_y) <tf.Tensor: shape=(3,), dtype=int32, numpy=array([5, 2, 3], ...> Args: shape_x: A rank 1 integer `Tensor`, representing the shape of x. shape_y: A rank 1 integer `Tensor`, representing the shape of y. Returns: A rank 1 integer `Tensor` representing the broadcasted shape. Raises: InvalidArgumentError: If the two shapes are incompatible for broadcasting. """ return gen_array_ops.broadcast_args(shape_x, shape_y) @tf_export("broadcast_static_shape") @dispatch.add_dispatch_support def broadcast_static_shape(shape_x, shape_y): """Computes the shape of a broadcast given known shapes. When `shape_x` and `shape_y` are fully known `TensorShape`s this computes a `TensorShape` which is the shape of the result of a broadcasting op applied in tensors of shapes `shape_x` and `shape_y`. For example, if shape_x is `TensorShape([1, 2, 3])` and shape_y is `TensorShape([5, 1, 3])`, the result is a TensorShape whose value is `TensorShape([5, 2, 3])`. This is useful when validating the result of a broadcasting operation when the tensors have statically known shapes. Example: >>> shape_x = tf.TensorShape([1, 2, 3]) >>> shape_y = tf.TensorShape([5, 1 ,3]) >>> tf.broadcast_static_shape(shape_x, shape_y) TensorShape([5, 2, 3]) Args: shape_x: A `TensorShape` shape_y: A `TensorShape` Returns: A `TensorShape` representing the broadcasted shape. Raises: ValueError: If the two shapes can not be broadcasted. """ return common_shapes.broadcast_shape(shape_x, shape_y) @tf_export("shape", v1=[]) @dispatch.add_dispatch_support def shape_v2(input, out_type=dtypes.int32, name=None): # pylint: disable=redefined-builtin """Returns a tensor containing the shape of the input tensor. See also `tf.size`, `tf.rank`. `tf.shape` returns a 1-D integer tensor representing the shape of `input`. For a scalar input, the tensor returned has a shape of (0,) and its value is the empty vector (i.e. []). For example: >>> tf.shape(1.) <tf.Tensor: shape=(0,), dtype=int32, numpy=array([], dtype=int32)> >>> t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]) >>> tf.shape(t) <tf.Tensor: shape=(3,), dtype=int32, numpy=array([2, 2, 3], dtype=int32)> Note: When using symbolic tensors, such as when using the Keras API, tf.shape() will return the shape of the symbolic tensor. >>> a = tf.keras.layers.Input((None, 10)) >>> tf.shape(a) <... shape=(3,) dtype=int32...> In these cases, using `tf.Tensor.shape` will return more informative results. >>> a.shape TensorShape([None, None, 10]) (The first `None` represents the as yet unknown batch size.) `tf.shape` and `Tensor.shape` should be identical in eager mode. Within `tf.function` or within a `compat.v1` context, not all dimensions may be known until execution time. Hence when defining custom layers and models for graph mode, prefer the dynamic `tf.shape(x)` over the static `x.shape`. Args: input: A `Tensor` or `SparseTensor`. out_type: (Optional) The specified output type of the operation (`int32` or `int64`). Defaults to `tf.int32`. name: A name for the operation (optional). Returns: A `Tensor` of type `out_type`. """ return shape(input, name, out_type) @tf_export(v1=["shape"]) @dispatch.add_dispatch_support def shape(input, name=None, out_type=dtypes.int32): # pylint: disable=redefined-builtin """Returns the shape of a tensor. This operation returns a 1-D integer tensor representing the shape of `input`. For example: ```python t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]) tf.shape(t) # [2, 2, 3] ``` Args: input: A `Tensor` or `SparseTensor`. name: A name for the operation (optional). out_type: (Optional) The specified output type of the operation (`int32` or `int64`). Defaults to `tf.int32`. Returns: A `Tensor` of type `out_type`. """ return shape_internal(input, name, optimize=True, out_type=out_type) def shape_internal(input, name=None, optimize=True, out_type=dtypes.int32): # pylint: disable=redefined-builtin """Returns the shape of a tensor. Args: input: A `Tensor` or `SparseTensor`. name: A name for the operation (optional). optimize: if true, encode the shape as a constant when possible. out_type: (Optional) The specified output type of the operation (`int32` or `int64`). Defaults to tf.int32. Returns: A `Tensor` of type `out_type`. """ with ops.name_scope(name, "Shape", [input]) as name: if isinstance( input, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): return gen_math_ops.cast(input.dense_shape, out_type) else: if not context.executing_eagerly(): input = ops.convert_to_tensor(input) input_shape = input.get_shape() if optimize and input_shape.is_fully_defined(): return constant(input_shape.as_list(), out_type, name=name) return gen_array_ops.shape(input, name=name, out_type=out_type) @tf_export("shape_n") @dispatch.add_dispatch_support def shape_n(input, out_type=dtypes.int32, name=None): # pylint: disable=redefined-builtin """Returns shape of tensors. Args: input: A list of at least 1 `Tensor` object with the same type. out_type: The specified output type of the operation (`int32` or `int64`). Defaults to `tf.int32`(optional). name: A name for the operation (optional). Returns: A list with the same length as `input` of `Tensor` objects with type `out_type`. """ return gen_array_ops.shape_n(input, out_type=out_type, name=name) @tf_export("size", v1=[]) @dispatch.add_dispatch_support def size_v2(input, out_type=dtypes.int32, name=None): # pylint: disable=redefined-builtin """Returns the size of a tensor. See also `tf.shape`. Returns a 0-D `Tensor` representing the number of elements in `input` of type `out_type`. Defaults to tf.int32. For example: >>> t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]) >>> tf.size(t) <tf.Tensor: shape=(), dtype=int32, numpy=12> Args: input: A `Tensor` or `SparseTensor`. name: A name for the operation (optional). out_type: (Optional) The specified non-quantized numeric output type of the operation. Defaults to `tf.int32`. Returns: A `Tensor` of type `out_type`. Defaults to `tf.int32`. @compatibility(numpy) Equivalent to np.size() @end_compatibility """ return size(input, name, out_type) @tf_export(v1=["size"]) @dispatch.add_dispatch_support def size(input, name=None, out_type=dtypes.int32): # pylint: disable=redefined-builtin """Returns the size of a tensor. Returns a 0-D `Tensor` representing the number of elements in `input` of type `out_type`. Defaults to tf.int32. For example: ```python t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]) tf.size(t) # 12 ``` Args: input: A `Tensor` or `SparseTensor`. name: A name for the operation (optional). out_type: (Optional) The specified non-quantized numeric output type of the operation. Defaults to `tf.int32`. Returns: A `Tensor` of type `out_type`. Defaults to `tf.int32`. @compatibility(numpy) Equivalent to np.size() @end_compatibility """ return size_internal(input, name, optimize=True, out_type=out_type) def size_internal(input, name=None, optimize=True, out_type=dtypes.int32): # pylint: disable=redefined-builtin,protected-access """Returns the size of a tensor. Args: input: A `Tensor` or `SparseTensor`. name: A name for the operation (optional). optimize: if true, encode the size as a constant when possible. out_type: (Optional) The specified non-quantized numeric output type of the operation. Defaults to `tf.int32`. Returns: A `Tensor` of type `out_type`. Defaults to `tf.int32`. """ if (context.executing_eagerly() and not hasattr(input, "graph") and not isinstance( input, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue))): input = ops.convert_to_tensor(input) np_out_type = out_type.as_numpy_dtype num_elements = np.prod(input._shape_tuple(), dtype=np_out_type) # pylint: disable=protected-access return ops.convert_to_tensor(num_elements, dtype=out_type) with ops.name_scope(name, "Size", [input]) as name: if isinstance( input, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): return gen_math_ops.prod( gen_math_ops.cast(input.dense_shape, out_type), 0, name=name) else: input = ops.convert_to_tensor(input) input_shape = input.get_shape() if optimize: if input_shape.is_fully_defined(): return constant(input_shape.num_elements(), out_type, name=name) if input_shape.dims and any(dim == 0 for dim in input_shape.dims): return constant(0, out_type, name=name) return gen_array_ops.size(input, name=name, out_type=out_type) @tf_export("rank") @dispatch.add_dispatch_support def rank(input, name=None): # pylint: disable=redefined-builtin """Returns the rank of a tensor. See also `tf.shape`. Returns a 0-D `int32` `Tensor` representing the rank of `input`. For example: ```python # shape of tensor 't' is [2, 2, 3] t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]) tf.rank(t) # 3 ``` **Note**: The rank of a tensor is not the same as the rank of a matrix. The rank of a tensor is the number of indices required to uniquely select each element of the tensor. Rank is also known as "order", "degree", or "ndims." Args: input: A `Tensor` or `SparseTensor`. name: A name for the operation (optional). Returns: A `Tensor` of type `int32`. @compatibility(numpy) Equivalent to np.ndim @end_compatibility """ return rank_internal(input, name, optimize=True) def rank_internal(input, name=None, optimize=True): # pylint: disable=redefined-builtin """Returns the rank of a tensor. Args: input: A `Tensor` or `SparseTensor`. name: A name for the operation (optional). optimize: if true, encode the rank as a constant when possible. Returns: A `Tensor` of type `int32`. """ with ops.name_scope(name, "Rank", [input]) as name: if isinstance( input, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): return gen_array_ops.size(input.dense_shape, name=name) else: input = ops.convert_to_tensor(input) input_shape = input.get_shape() if optimize and input_shape.ndims is not None: return constant(input_shape.ndims, dtypes.int32, name=name) return gen_array_ops.rank(input, name=name) _SLICE_TYPE_ERROR = ( "Only integers, slices (`:`), ellipsis (`...`), " "tf.newaxis (`None`) and scalar tf.int32/tf.int64 tensors are valid " "indices") _SUPPORTED_SLICE_DTYPES = (dtypes.int32, dtypes.int32_ref, dtypes.int64, dtypes.int64_ref) def _check_index(idx): """Check if a given value is a valid index into a tensor.""" if isinstance(idx, (numbers.Integral, tensor_shape.Dimension)): return # Optimistic check. Assumptions: # * any object with a dtype is supported # * any object with a dtype has a sizeable shape attribute. dtype = getattr(idx, "dtype", None) if (dtype is None or dtypes.as_dtype(dtype) not in _SUPPORTED_SLICE_DTYPES or idx.shape and len(idx.shape) == 1): # TODO(slebedev): IndexError seems more appropriate here, but it # will break `_slice_helper` contract. raise TypeError(_SLICE_TYPE_ERROR + ", got {!r}".format(idx)) def _is_undefined_dimension(d): return isinstance(d, tensor_shape.Dimension) and d.value is None @tf_export("__operators__.getitem", v1=[]) @dispatch.add_dispatch_support def _slice_helper(tensor, slice_spec, var=None): """Overload for Tensor.__getitem__. This operation extracts the specified region from the tensor. The notation is similar to NumPy with the restriction that currently only support basic indexing. That means that using a non-scalar tensor as input is not currently allowed. Some useful examples: ```python # Strip leading and trailing 2 elements foo = tf.constant([1,2,3,4,5,6]) print(foo[2:-2].eval()) # => [3,4] # Skip every other row and reverse the order of the columns foo = tf.constant([[1,2,3], [4,5,6], [7,8,9]]) print(foo[::2,::-1].eval()) # => [[3,2,1], [9,8,7]] # Use scalar tensors as indices on both dimensions print(foo[tf.constant(0), tf.constant(2)].eval()) # => 3 # Insert another dimension foo = tf.constant([[1,2,3], [4,5,6], [7,8,9]]) print(foo[tf.newaxis, :, :].eval()) # => [[[1,2,3], [4,5,6], [7,8,9]]] print(foo[:, tf.newaxis, :].eval()) # => [[[1,2,3]], [[4,5,6]], [[7,8,9]]] print(foo[:, :, tf.newaxis].eval()) # => [[[1],[2],[3]], [[4],[5],[6]], [[7],[8],[9]]] # Ellipses (3 equivalent operations) foo = tf.constant([[1,2,3], [4,5,6], [7,8,9]]) print(foo[tf.newaxis, :, :].eval()) # => [[[1,2,3], [4,5,6], [7,8,9]]] print(foo[tf.newaxis, ...].eval()) # => [[[1,2,3], [4,5,6], [7,8,9]]] print(foo[tf.newaxis].eval()) # => [[[1,2,3], [4,5,6], [7,8,9]]] # Masks foo = tf.constant([[1,2,3], [4,5,6], [7,8,9]]) print(foo[foo > 2].eval()) # => [3, 4, 5, 6, 7, 8, 9] ``` Notes: - `tf.newaxis` is `None` as in NumPy. - An implicit ellipsis is placed at the end of the `slice_spec` - NumPy advanced indexing is currently not supported. Purpose in the API: This method is exposed in TensorFlow's API so that library developers can register dispatching for `Tensor.__getitem__` to allow it to handle custom composite tensors & other custom objects. The API symbol is not intended to be called by users directly and does appear in TensorFlow's generated documentation. Args: tensor: An ops.Tensor object. slice_spec: The arguments to Tensor.__getitem__. var: In the case of variable slice assignment, the Variable object to slice (i.e. tensor is the read-only view of this variable). Returns: The appropriate slice of "tensor", based on "slice_spec". Raises: ValueError: If a slice range is negative size. TypeError: If the slice indices aren't int, slice, ellipsis, tf.newaxis or scalar int32/int64 tensors. """ tensor = ops.convert_to_tensor(tensor) # TODO(wangpeng): Consider supporting var if var is None and ops._numpy_style_slicing: # pylint: disable=protected-access return tensor._numpy_style_getitem(slice_spec) # pylint: disable=protected-access if isinstance(slice_spec, bool) or \ (isinstance(slice_spec, ops.Tensor) and slice_spec.dtype == dtypes.bool) or \ (isinstance(slice_spec, np.ndarray) and slice_spec.dtype == bool): return boolean_mask(tensor=tensor, mask=slice_spec) if not isinstance(slice_spec, (list, tuple)): slice_spec = [slice_spec] begin, end, strides = [], [], [] index = 0 new_axis_mask, shrink_axis_mask = 0, 0 begin_mask, end_mask = 0, 0 ellipsis_mask = 0 for s in slice_spec: if isinstance(s, _BaseSlice): if s.start is not None and not _is_undefined_dimension(s.start): _check_index(s.start) begin.append(s.start) else: begin.append(0) begin_mask |= (1 << index) if s.stop is not None and not _is_undefined_dimension(s.stop): _check_index(s.stop) end.append(s.stop) else: end.append(0) end_mask |= (1 << index) if s.step is not None and not _is_undefined_dimension(s.step): _check_index(s.step) strides.append(s.step) else: strides.append(1) elif s is Ellipsis: begin.append(0) end.append(0) strides.append(1) ellipsis_mask |= (1 << index) elif s is newaxis: begin.append(0) end.append(0) strides.append(1) new_axis_mask |= (1 << index) else: _check_index(s) begin.append(s) end.append(s + 1) strides.append(1) shrink_axis_mask |= (1 << index) index += 1 # stack possibly involves no tensors, so we must use op_scope correct graph. with ops.name_scope( None, "strided_slice", [tensor] + begin + end + strides, skip_on_eager=False) as name: if begin: packed_begin, packed_end, packed_strides = (stack(begin), stack(end), stack(strides)) if (packed_begin.dtype == dtypes.int64 or packed_end.dtype == dtypes.int64 or packed_strides.dtype == dtypes.int64): if packed_begin.dtype != dtypes.int64: packed_begin = gen_math_ops.cast(packed_begin, dtypes.int64) if packed_end.dtype != dtypes.int64: packed_end = gen_math_ops.cast(packed_end, dtypes.int64) if packed_strides.dtype != dtypes.int64: packed_strides = gen_math_ops.cast(packed_strides, dtypes.int64) else: var_empty = constant([], dtype=dtypes.int32) packed_begin = packed_end = packed_strides = var_empty return strided_slice( tensor, packed_begin, packed_end, packed_strides, begin_mask=begin_mask, end_mask=end_mask, shrink_axis_mask=shrink_axis_mask, new_axis_mask=new_axis_mask, ellipsis_mask=ellipsis_mask, var=var, name=name) # pylint: disable=undefined-variable,protected-access,redefined-outer-name @tf_export("slice") @dispatch.add_dispatch_support def slice(input_, begin, size, name=None): # pylint: disable=redefined-builtin """Extracts a slice from a tensor. See also `tf.strided_slice`. This operation extracts a slice of size `size` from a tensor `input_` starting at the location specified by `begin`. The slice `size` is represented as a tensor shape, where `size[i]` is the number of elements of the 'i'th dimension of `input_` that you want to slice. The starting location (`begin`) for the slice is represented as an offset in each dimension of `input_`. In other words, `begin[i]` is the offset into the i'th dimension of `input_` that you want to slice from. Note that `tf.Tensor.__getitem__` is typically a more pythonic way to perform slices, as it allows you to write `foo[3:7, :-2]` instead of `tf.slice(foo, [3, 0], [4, foo.get_shape()[1]-2])`. `begin` is zero-based; `size` is one-based. If `size[i]` is -1, all remaining elements in dimension i are included in the slice. In other words, this is equivalent to setting: `size[i] = input_.dim_size(i) - begin[i]` This operation requires that: `0 <= begin[i] <= begin[i] + size[i] <= Di for i in [0, n]` For example: ```python t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]], [[5, 5, 5], [6, 6, 6]]]) tf.slice(t, [1, 0, 0], [1, 1, 3]) # [[[3, 3, 3]]] tf.slice(t, [1, 0, 0], [1, 2, 3]) # [[[3, 3, 3], # [4, 4, 4]]] tf.slice(t, [1, 0, 0], [2, 1, 3]) # [[[3, 3, 3]], # [[5, 5, 5]]] ``` Args: input_: A `Tensor`. begin: An `int32` or `int64` `Tensor`. size: An `int32` or `int64` `Tensor`. name: A name for the operation (optional). Returns: A `Tensor` the same type as `input_`. """ return gen_array_ops._slice(input_, begin, size, name=name) # pylint: disable=invalid-name @tf_export("strided_slice") @dispatch.add_dispatch_support def strided_slice(input_, begin, end, strides=None, begin_mask=0, end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=0, var=None, name=None): """Extracts a strided slice of a tensor (generalized Python array indexing). See also `tf.slice`. **Instead of calling this op directly most users will want to use the NumPy-style slicing syntax (e.g. `tensor[..., 3:4:-1, tf.newaxis, 3]`), which is supported via `tf.Tensor.__getitem__` and `tf.Variable.__getitem__`.** The interface of this op is a low-level encoding of the slicing syntax. Roughly speaking, this op extracts a slice of size `(end-begin)/stride` from the given `input_` tensor. Starting at the location specified by `begin` the slice continues by adding `stride` to the index until all dimensions are not less than `end`. Note that a stride can be negative, which causes a reverse slice. Given a Python slice `input[spec0, spec1, ..., specn]`, this function will be called as follows. `begin`, `end`, and `strides` will be vectors of length n. n in general is not equal to the rank of the `input_` tensor. In each mask field (`begin_mask`, `end_mask`, `ellipsis_mask`, `new_axis_mask`, `shrink_axis_mask`) the ith bit will correspond to the ith spec. If the ith bit of `begin_mask` is set, `begin[i]` is ignored and the fullest possible range in that dimension is used instead. `end_mask` works analogously, except with the end range. `foo[5:,:,:3]` on a 7x8x9 tensor is equivalent to `foo[5:7,0:8,0:3]`. `foo[::-1]` reverses a tensor with shape 8. If the ith bit of `ellipsis_mask` is set, as many unspecified dimensions as needed will be inserted between other dimensions. Only one non-zero bit is allowed in `ellipsis_mask`. For example `foo[3:5,...,4:5]` on a shape 10x3x3x10 tensor is equivalent to `foo[3:5,:,:,4:5]` and `foo[3:5,...]` is equivalent to `foo[3:5,:,:,:]`. If the ith bit of `new_axis_mask` is set, then `begin`, `end`, and `stride` are ignored and a new length 1 dimension is added at this point in the output tensor. For example, `foo[:4, tf.newaxis, :2]` would produce a shape `(4, 1, 2)` tensor. If the ith bit of `shrink_axis_mask` is set, it implies that the ith specification shrinks the dimensionality by 1, taking on the value at index `begin[i]`. `end[i]` and `strides[i]` are ignored in this case. For example in Python one might do `foo[:, 3, :]` which would result in `shrink_axis_mask` equal to 2. NOTE: `begin` and `end` are zero-indexed. `strides` entries must be non-zero. ```python t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]], [[5, 5, 5], [6, 6, 6]]]) tf.strided_slice(t, [1, 0, 0], [2, 1, 3], [1, 1, 1]) # [[[3, 3, 3]]] tf.strided_slice(t, [1, 0, 0], [2, 2, 3], [1, 1, 1]) # [[[3, 3, 3], # [4, 4, 4]]] tf.strided_slice(t, [1, -1, 0], [2, -3, 3], [1, -1, 1]) # [[[4, 4, 4], # [3, 3, 3]]] ``` Args: input_: A `Tensor`. begin: An `int32` or `int64` `Tensor`. end: An `int32` or `int64` `Tensor`. strides: An `int32` or `int64` `Tensor`. begin_mask: An `int32` mask. end_mask: An `int32` mask. ellipsis_mask: An `int32` mask. new_axis_mask: An `int32` mask. shrink_axis_mask: An `int32` mask. var: The variable corresponding to `input_` or None name: A name for the operation (optional). Returns: A `Tensor` the same type as `input`. """ if strides is None: strides = ones_like(begin) op = gen_array_ops.strided_slice( input=input_, begin=begin, end=end, strides=strides, name=name, begin_mask=begin_mask, end_mask=end_mask, ellipsis_mask=ellipsis_mask, new_axis_mask=new_axis_mask, shrink_axis_mask=shrink_axis_mask) parent_name = name if var is not None: def assign(val, name=None): """Closure that holds all the arguments to create an assignment.""" if name is None: name = parent_name + "_assign" return var._strided_slice_assign( begin=begin, end=end, strides=strides, value=val, name=name, begin_mask=begin_mask, end_mask=end_mask, ellipsis_mask=ellipsis_mask, new_axis_mask=new_axis_mask, shrink_axis_mask=shrink_axis_mask) op.assign = assign return op def _SliceHelperVar(var, slice_spec): """Creates a slice helper object given a variable. This allows creating a sub-tensor from part of the current contents of a variable. See `tf.Tensor.__getitem__` for detailed examples of slicing. This function in addition also allows assignment to a sliced range. This is similar to `__setitem__` functionality in Python. However, the syntax is different so that the user can capture the assignment operation for grouping or passing to `sess.run()`. For example, ```python import tensorflow as tf A = tf.Variable([[1,2,3], [4,5,6], [7,8,9]], dtype=tf.float32) with tf.compat.v1.Session() as sess: sess.run(tf.compat.v1.global_variables_initializer()) print(sess.run(A[:2, :2])) # => [[1,2], [4,5]] op = A[:2,:2].assign(22. * tf.ones((2, 2))) print(sess.run(op)) # => [[22, 22, 3], [22, 22, 6], [7,8,9]] ``` Note that assignments currently do not support NumPy broadcasting semantics. Args: var: An `ops.Variable` object. slice_spec: The arguments to `Tensor.__getitem__`. Returns: The appropriate slice of "tensor", based on "slice_spec". As an operator. The operator also has a `assign()` method that can be used to generate an assignment operator. Raises: ValueError: If a slice range is negative size. TypeError: TypeError: If the slice indices aren't int, slice, ellipsis, tf.newaxis or int32/int64 tensors. """ return _slice_helper(var.value(), slice_spec, var) ops.Tensor._override_operator("__getitem__", _slice_helper) @tf_export("parallel_stack") @dispatch.add_dispatch_support def parallel_stack(values, name="parallel_stack"): """Stacks a list of rank-`R` tensors into one rank-`(R+1)` tensor in parallel. Requires that the shape of inputs be known at graph construction time. Packs the list of tensors in `values` into a tensor with rank one higher than each tensor in `values`, by packing them along the first dimension. Given a list of length `N` of tensors of shape `(A, B, C)`; the `output` tensor will have the shape `(N, A, B, C)`. For example: ```python x = tf.constant([1, 4]) y = tf.constant([2, 5]) z = tf.constant([3, 6]) tf.parallel_stack([x, y, z]) # [[1, 4], [2, 5], [3, 6]] ``` The difference between `stack` and `parallel_stack` is that `stack` requires all the inputs be computed before the operation will begin but doesn't require that the input shapes be known during graph construction. `parallel_stack` will copy pieces of the input into the output as they become available, in some situations this can provide a performance benefit. Unlike `stack`, `parallel_stack` does NOT support backpropagation. This is the opposite of unstack. The numpy equivalent is tf.parallel_stack([x, y, z]) = np.asarray([x, y, z]) @compatibility(eager) parallel_stack is not compatible with eager execution. @end_compatibility Args: values: A list of `Tensor` objects with the same shape and type. name: A name for this operation (optional). Returns: output: A stacked `Tensor` with the same type as `values`. Raises: RuntimeError: if executed in eager mode. """ if context.executing_eagerly(): raise RuntimeError("tf.parallel_stack() is not compatible with " "eager execution.") with ops.name_scope(name): value_t = ops.convert_to_tensor(values[0]) value_shape = ops.convert_to_tensor(value_t).get_shape() output_shape = tensor_shape.TensorShape([len(values)]) output_shape = output_shape.concatenate(value_shape) # expand_dims converts concat to stack. return gen_array_ops.parallel_concat( [expand_dims(value, 0) for value in values], shape=output_shape) @tf_export("stack") @dispatch.add_dispatch_support def stack(values, axis=0, name="stack"): """Stacks a list of rank-`R` tensors into one rank-`(R+1)` tensor. See also `tf.concat`, `tf.tile`, `tf.repeat`. Packs the list of tensors in `values` into a tensor with rank one higher than each tensor in `values`, by packing them along the `axis` dimension. Given a list of length `N` of tensors of shape `(A, B, C)`; if `axis == 0` then the `output` tensor will have the shape `(N, A, B, C)`. if `axis == 1` then the `output` tensor will have the shape `(A, N, B, C)`. Etc. For example: >>> x = tf.constant([1, 4]) >>> y = tf.constant([2, 5]) >>> z = tf.constant([3, 6]) >>> tf.stack([x, y, z]) <tf.Tensor: shape=(3, 2), dtype=int32, numpy= array([[1, 4], [2, 5], [3, 6]], dtype=int32)> >>> tf.stack([x, y, z], axis=1) <tf.Tensor: shape=(2, 3), dtype=int32, numpy= array([[1, 2, 3], [4, 5, 6]], dtype=int32)> This is the opposite of unstack. The numpy equivalent is `np.stack` >>> np.array_equal(np.stack([x, y, z]), tf.stack([x, y, z])) True Args: values: A list of `Tensor` objects with the same shape and type. axis: An `int`. The axis to stack along. Defaults to the first dimension. Negative values wrap around, so the valid range is `[-(R+1), R+1)`. name: A name for this operation (optional). Returns: output: A stacked `Tensor` with the same type as `values`. Raises: ValueError: If `axis` is out of the range [-(R+1), R+1). """ if axis == 0: try: # If the input is a constant list, it can be converted to a constant op return ops.convert_to_tensor(values, name=name) except (TypeError, ValueError): pass # Input list contains non-constant tensors value_shape = ops.convert_to_tensor(values[0], name=name)._shape_tuple() # pylint: disable=protected-access if value_shape is not None: expanded_num_dims = len(value_shape) + 1 if axis < -expanded_num_dims or axis >= expanded_num_dims: raise ValueError("axis = %d not in [%d, %d)" % (axis, -expanded_num_dims, expanded_num_dims)) return gen_array_ops.pack(values, axis=axis, name=name) # pylint: disable=invalid-name def _autopacking_helper(list_or_tuple, dtype, name): """Converts the given list or tuple to a tensor by packing. Args: list_or_tuple: A (possibly nested) list or tuple containing a tensor. dtype: The element type of the returned tensor. name: A name for the returned tensor. Returns: A `tf.Tensor` with value equivalent to `list_or_tuple`. """ if context.executing_eagerly(): # NOTE: Fast path when all the items are tensors, this doesn't do any type # checking. if all(isinstance(elem, core.Tensor) for elem in list_or_tuple): return gen_array_ops.pack(list_or_tuple, name=name) must_pack = False converted_elems = [] with ops.name_scope(name) as scope: for i, elem in enumerate(list_or_tuple): if isinstance(elem, core.Tensor): if dtype is not None and elem.dtype.base_dtype != dtype: raise TypeError("Cannot convert a list containing a tensor of dtype " "%s to %s (Tensor is: %r)" % (elem.dtype, dtype, elem)) converted_elems.append(elem) must_pack = True elif isinstance(elem, (list, tuple)): converted_elem = _autopacking_helper(elem, dtype, str(i)) if isinstance(converted_elem, core.Tensor): must_pack = True converted_elems.append(converted_elem) else: converted_elems.append(elem) if must_pack: elems_as_tensors = [] for i, elem in enumerate(converted_elems): if isinstance(elem, core.Tensor): elems_as_tensors.append(elem) else: # NOTE(mrry): This is inefficient, but it enables us to # handle the case where the list arguments are other # convertible-to-tensor types, such as numpy arrays. elems_as_tensors.append( constant_op.constant(elem, dtype=dtype, name=str(i))) return gen_array_ops.pack(elems_as_tensors, name=scope) else: return converted_elems def _get_dtype_from_nested_lists(list_or_tuple): """Returns the dtype of any tensor-like object in `list_or_tuple`, if found. Args: list_or_tuple: A list or tuple representing an object that can be converted to a `tf.Tensor`. Returns: The dtype of any tensor-like object in `list_or_tuple`, or `None` if no such object exists. """ for elem in list_or_tuple: if isinstance(elem, core.Tensor): return elem.dtype.base_dtype elif isinstance(elem, (list, tuple)): maybe_dtype = _get_dtype_from_nested_lists(elem) if maybe_dtype is not None: return maybe_dtype return None def _cast_nested_seqs_to_dtype(dtype): def _maybe_cast(elem): if isinstance(elem, core.Tensor): if dtype != elem.dtype.base_dtype: elem = gen_math_ops.cast(elem, dtype) return elem return _maybe_cast _NON_AUTOPACKABLE_TYPES = set(np.core.numerictypes.ScalarType) _NON_AUTOPACKABLE_TYPES.add(np.ndarray) def _should_not_autopack(v): # The condition we really want is # any(isinstance(elem, core.Tensor)) # but it is >5x slower due to abc.ABCMeta.__instancecheck__. # pylint: disable=unidiomatic-typecheck # TODO(slebedev): add nest.all? return all(type(elem) in _NON_AUTOPACKABLE_TYPES for elem in nest.flatten(v)) # pylint: enable=unidiomatic-typecheck def _autopacking_conversion_function(v, dtype=None, name=None, as_ref=False): """Tensor conversion function that automatically packs arguments.""" if as_ref or _should_not_autopack(v): return NotImplemented inferred_dtype = _get_dtype_from_nested_lists(v) if inferred_dtype is None: # We did not find any tensor-like objects in the nested lists, so defer to # other conversion functions. return NotImplemented if dtype is None: dtype = inferred_dtype elif dtype != inferred_dtype: v = nest.map_structure(_cast_nested_seqs_to_dtype(dtype), v) return _autopacking_helper(v, dtype, name or "packed") # pylint: enable=invalid-name # NOTE: Register this conversion function to run *before* one that # assumes every element is a value. ops.register_tensor_conversion_function((list, tuple), _autopacking_conversion_function, 99) @tf_export("unstack") @dispatch.add_dispatch_support def unstack(value, num=None, axis=0, name="unstack"): """Unpacks the given dimension of a rank-`R` tensor into rank-`(R-1)` tensors. Unpacks tensors from `value` by chipping it along the `axis` dimension. >>> x = tf.reshape(tf.range(12), (3,4)) >>> >>> p, q, r = tf.unstack(x) >>> p.shape.as_list() [4] >>> i, j, k, l = tf.unstack(x, axis=1) >>> i.shape.as_list() [3] This is the opposite of stack. >>> x = tf.stack([i, j, k, l], axis=1) More generally if you have a tensor of shape `(A, B, C, D)`: >>> A, B, C, D = [2, 3, 4, 5] >>> t = tf.random.normal(shape=[A, B, C, D]) The number of tensor returned is equal to the length of the target `axis`: >>> axis = 2 >>> items = tf.unstack(t, axis=axis) >>> len(items) == t.shape[axis] True The shape of each result tensor is equal to the shape of the input tensor, with the target `axis` removed. >>> items[0].shape.as_list() # [A, B, D] [2, 3, 5] The value of each tensor `items[i]` is equal to the slice of `input` across `axis` at index `i`: >>> for i in range(len(items)): ... slice = t[:,:,i,:] ... assert tf.reduce_all(slice == items[i]) #### Python iterable unpacking With eager execution you _can_ unstack the 0th axis of a tensor using python's iterable unpacking: >>> t = tf.constant([1,2,3]) >>> a,b,c = t `unstack` is still necessary because Iterable unpacking doesn't work in a `@tf.function`: Symbolic tensors are not iterable. You need to use `tf.unstack` here: >>> @tf.function ... def bad(t): ... a,b,c = t ... return a >>> >>> bad(t) Traceback (most recent call last): ... OperatorNotAllowedInGraphError: ... >>> @tf.function ... def good(t): ... a,b,c = tf.unstack(t) ... return a >>> >>> good(t).numpy() 1 #### Unknown shapes Eager tensors have concrete values, so their shape is always known. Inside a `tf.function` the symbolic tensors may have unknown shapes. If the length of `axis` is unknown `tf.unstack` will fail because it cannot handle an unknown number of tensors: >>> @tf.function(input_signature=[tf.TensorSpec([None], tf.float32)]) ... def bad(t): ... tensors = tf.unstack(t) ... return tensors[0] >>> >>> bad(tf.constant([1,2,3])) Traceback (most recent call last): ... ValueError: Cannot infer num from shape (None,) If you know the `axis` length you can pass it as the `num` argument. But this must be a constant value. If you actually need a variable number of tensors in a single `tf.function` trace, you will need to use exlicit loops and a `tf.TensorArray` instead. Args: value: A rank `R > 0` `Tensor` to be unstacked. num: An `int`. The length of the dimension `axis`. Automatically inferred if `None` (the default). axis: An `int`. The axis to unstack along. Defaults to the first dimension. Negative values wrap around, so the valid range is `[-R, R)`. name: A name for the operation (optional). Returns: The list of `Tensor` objects unstacked from `value`. Raises: ValueError: If `axis` is out of the range `[-R, R)`. ValueError: If `num` is unspecified and cannot be inferred. InvalidArgumentError: If `num` does not match the shape of `value`. """ if num is None: value = ops.convert_to_tensor(value) value_shape = value.get_shape() if value_shape.ndims is not None: if axis < -value_shape.ndims or axis >= value_shape.ndims: raise ValueError("axis = %d not in [%d, %d)" % (axis, -value_shape.ndims, value_shape.ndims)) num = value_shape.dims[axis].value if num is None: raise ValueError("Cannot infer num from shape %s" % value_shape) return gen_array_ops.unpack(value, num=num, axis=axis, name=name) @tf_export("concat") @dispatch.add_dispatch_support def concat(values, axis, name="concat"): """Concatenates tensors along one dimension. See also `tf.tile`, `tf.stack`, `tf.repeat`. Concatenates the list of tensors `values` along dimension `axis`. If `values[i].shape = [D0, D1, ... Daxis(i), ...Dn]`, the concatenated result has shape [D0, D1, ... Raxis, ...Dn] where Raxis = sum(Daxis(i)) That is, the data from the input tensors is joined along the `axis` dimension. The number of dimensions of the input tensors must match, and all dimensions except `axis` must be equal. For example: >>> t1 = [[1, 2, 3], [4, 5, 6]] >>> t2 = [[7, 8, 9], [10, 11, 12]] >>> tf.concat([t1, t2], 0) <tf.Tensor: shape=(4, 3), dtype=int32, numpy= array([[ 1, 2, 3], [ 4, 5, 6], [ 7, 8, 9], [10, 11, 12]], dtype=int32)> >>> tf.concat([t1, t2], 1) <tf.Tensor: shape=(2, 6), dtype=int32, numpy= array([[ 1, 2, 3, 7, 8, 9], [ 4, 5, 6, 10, 11, 12]], dtype=int32)> As in Python, the `axis` could also be negative numbers. Negative `axis` are interpreted as counting from the end of the rank, i.e., `axis + rank(values)`-th dimension. For example: >>> t1 = [[[1, 2], [2, 3]], [[4, 4], [5, 3]]] >>> t2 = [[[7, 4], [8, 4]], [[2, 10], [15, 11]]] >>> tf.concat([t1, t2], -1) <tf.Tensor: shape=(2, 2, 4), dtype=int32, numpy= array([[[ 1, 2, 7, 4], [ 2, 3, 8, 4]], [[ 4, 4, 2, 10], [ 5, 3, 15, 11]]], dtype=int32)> Note: If you are concatenating along a new axis consider using stack. E.g. ```python tf.concat([tf.expand_dims(t, axis) for t in tensors], axis) ``` can be rewritten as ```python tf.stack(tensors, axis=axis) ``` Args: values: A list of `Tensor` objects or a single `Tensor`. axis: 0-D `int32` `Tensor`. Dimension along which to concatenate. Must be in the range `[-rank(values), rank(values))`. As in Python, indexing for axis is 0-based. Positive axis in the rage of `[0, rank(values))` refers to `axis`-th dimension. And negative axis refers to `axis + rank(values)`-th dimension. name: A name for the operation (optional). Returns: A `Tensor` resulting from concatenation of the input tensors. """ if not isinstance(values, (list, tuple)): values = [values] # TODO(mrry): Change to return values? if len(values) == 1: # Degenerate case of one tensor. # Make a throwaway call to convert_to_tensor to make sure # that axis is of the correct type, and make sure that # the returned tensor is a scalar. # TODO(keveman): Implement a standalone type and shape checker. with ops.name_scope(name) as scope: ops.convert_to_tensor( axis, name="concat_dim", dtype=dtypes.int32).get_shape().assert_has_rank(0) return identity(values[0], name=name) return gen_array_ops.concat_v2(values=values, axis=axis, name=name) @tf_export(v1=["boolean_mask"]) @dispatch.add_dispatch_support def boolean_mask(tensor, mask, name="boolean_mask", axis=None): """Apply boolean mask to tensor. Numpy equivalent is `tensor[mask]`. In general, `0 < dim(mask) = K <= dim(tensor)`, and `mask`'s shape must match the first K dimensions of `tensor`'s shape. We then have: `boolean_mask(tensor, mask)[i, j1,...,jd] = tensor[i1,...,iK,j1,...,jd]` where `(i1,...,iK)` is the ith `True` entry of `mask` (row-major order). The `axis` could be used with `mask` to indicate the axis to mask from. In that case, `axis + dim(mask) <= dim(tensor)` and `mask`'s shape must match the first `axis + dim(mask)` dimensions of `tensor`'s shape. See also: `tf.ragged.boolean_mask`, which can be applied to both dense and ragged tensors, and can be used if you need to preserve the masked dimensions of `tensor` (rather than flattening them, as `tf.boolean_mask` does). Examples: ```python # 1-D example tensor = [0, 1, 2, 3] mask = np.array([True, False, True, False]) tf.boolean_mask(tensor, mask) # [0, 2] # 2-D example tensor = [[1, 2], [3, 4], [5, 6]] mask = np.array([True, False, True]) tf.boolean_mask(tensor, mask) # [[1, 2], [5, 6]] ``` Args: tensor: N-D Tensor. mask: K-D boolean Tensor, K <= N and K must be known statically. name: A name for this operation (optional). axis: A 0-D int Tensor representing the axis in `tensor` to mask from. By default, axis is 0 which will mask from the first dimension. Otherwise K + axis <= N. Returns: (N-K+1)-dimensional tensor populated by entries in `tensor` corresponding to `True` values in `mask`. Raises: ValueError: If shapes do not conform. """ def _apply_mask_1d(reshaped_tensor, mask, axis=None): """Mask tensor along dimension 0 with a 1-D mask.""" indices = squeeze(where_v2(mask), axis=[1]) return gather(reshaped_tensor, indices, axis=axis) with ops.name_scope(name, values=[tensor, mask]): tensor = ops.convert_to_tensor(tensor, name="tensor") mask = ops.convert_to_tensor(mask, name="mask") shape_mask = mask.get_shape() ndims_mask = shape_mask.ndims shape_tensor = tensor.get_shape() if ndims_mask == 0: raise ValueError("mask cannot be scalar.") if ndims_mask is None: raise ValueError( "Number of mask dimensions must be specified, even if some dimensions" " are None. E.g. shape=[None] is ok, but shape=None is not.") axis = 0 if axis is None else axis axis_value = tensor_util.constant_value(axis) if axis_value is not None: axis = axis_value shape_tensor[axis:axis + ndims_mask].assert_is_compatible_with(shape_mask) leading_size = gen_math_ops.prod(shape(tensor)[axis:axis + ndims_mask], [0]) tensor = reshape( tensor, concat([ shape(tensor)[:axis], [leading_size], shape(tensor)[axis + ndims_mask:] ], 0)) # TODO(yongtang): tf.reshape in C++ kernel might have set the shape # correctly, so the following may not be needed? It still might be possible # that there are some edge case where tensor_util.constant_value resolves # more cases than ShapeInference of tf.reshape in C++ kernel. if axis_value is not None: first_dim = shape_tensor[axis:axis + ndims_mask].num_elements() tensor.set_shape( tensor_shape.as_shape(shape_tensor[:axis]).concatenate( [first_dim]).concatenate(shape_tensor[axis + ndims_mask:])) mask = reshape(mask, [-1]) return _apply_mask_1d(tensor, mask, axis) @tf_export("boolean_mask", v1=[]) @dispatch.add_dispatch_support def boolean_mask_v2(tensor, mask, axis=None, name="boolean_mask"): """Apply boolean mask to tensor. Numpy equivalent is `tensor[mask]`. In general, `0 < dim(mask) = K <= dim(tensor)`, and `mask`'s shape must match the first K dimensions of `tensor`'s shape. We then have: `boolean_mask(tensor, mask)[i, j1,...,jd] = tensor[i1,...,iK,j1,...,jd]` where `(i1,...,iK)` is the ith `True` entry of `mask` (row-major order). The `axis` could be used with `mask` to indicate the axis to mask from. In that case, `axis + dim(mask) <= dim(tensor)` and `mask`'s shape must match the first `axis + dim(mask)` dimensions of `tensor`'s shape. See also: `tf.ragged.boolean_mask`, which can be applied to both dense and ragged tensors, and can be used if you need to preserve the masked dimensions of `tensor` (rather than flattening them, as `tf.boolean_mask` does). Examples: >>> tensor = [0, 1, 2, 3] # 1-D example >>> mask = np.array([True, False, True, False]) >>> tf.boolean_mask(tensor, mask) <tf.Tensor: shape=(2,), dtype=int32, numpy=array([0, 2], dtype=int32)> >>> tensor = [[1, 2], [3, 4], [5, 6]] # 2-D example >>> mask = np.array([True, False, True]) >>> tf.boolean_mask(tensor, mask) <tf.Tensor: shape=(2, 2), dtype=int32, numpy= array([[1, 2], [5, 6]], dtype=int32)> Args: tensor: N-D Tensor. mask: K-D boolean Tensor, K <= N and K must be known statically. axis: A 0-D int Tensor representing the axis in `tensor` to mask from. By default, axis is 0 which will mask from the first dimension. Otherwise K + axis <= N. name: A name for this operation (optional). Returns: (N-K+1)-dimensional tensor populated by entries in `tensor` corresponding to `True` values in `mask`. Raises: ValueError: If shapes do not conform. Examples: ```python # 2-D example tensor = [[1, 2], [3, 4], [5, 6]] mask = np.array([True, False, True]) boolean_mask(tensor, mask) # [[1, 2], [5, 6]] ``` """ return boolean_mask(tensor, mask, name, axis) @tf_export("sparse.mask", v1=["sparse.mask", "sparse_mask"]) @deprecation.deprecated_endpoints("sparse_mask") def sparse_mask(a, mask_indices, name=None): """Masks elements of `IndexedSlices`. Given an `IndexedSlices` instance `a`, returns another `IndexedSlices` that contains a subset of the slices of `a`. Only the slices at indices not specified in `mask_indices` are returned. This is useful when you need to extract a subset of slices in an `IndexedSlices` object. For example: ```python # `a` contains slices at indices [12, 26, 37, 45] from a large tensor # with shape [1000, 10] a.indices # [12, 26, 37, 45] tf.shape(a.values) # [4, 10] # `b` will be the subset of `a` slices at its second and third indices, so # we want to mask its first and last indices (which are at absolute # indices 12, 45) b = tf.sparse.mask(a, [12, 45]) b.indices # [26, 37] tf.shape(b.values) # [2, 10] ``` Args: a: An `IndexedSlices` instance. mask_indices: Indices of elements to mask. name: A name for the operation (optional). Returns: The masked `IndexedSlices` instance. """ with ops.name_scope(name, "sparse_mask", [a, mask_indices]) as name: indices = a.indices out_indices, to_gather = gen_array_ops.list_diff(indices, mask_indices) out_values = gather(a.values, to_gather, name=name) return ops.IndexedSlices(out_values, out_indices, a.dense_shape) @tf_export("unique") @dispatch.add_dispatch_support def unique(x, out_idx=dtypes.int32, name=None): """Finds unique elements in a 1-D tensor. See also `tf.unique_with_counts`. This operation returns a tensor `y` containing all of the unique elements of `x` sorted in the same order that they occur in `x`. This operation also returns a tensor `idx` the same size as `x` that contains the index of each value of `x` in the unique output `y`. In other words: y[idx[i]] = x[i] for i in [0, 1,...,rank(x) - 1] Example usage: >>> x = tf.constant([1, 1, 2, 4, 4, 4, 7, 8, 8]) >>> y, idx = unique(x) >>> y <tf.Tensor: id=5, shape=(5,), dtype=int32, numpy=array([1, 2, 4, 7, 8], dtype=int32)> >>> idx <tf.Tensor: id=6, shape=(9,), dtype=int32, numpy=array([0, 0, 1, 2, 2, 2, 3, 4, 4], dtype=int32)> Args: x: A Tensor. 1-D. out_idx: An optional tf.DType from: tf.int32, tf.int64. Defaults to tf.int32. name: A name for the operation (optional). Returns: A tuple of Tensor objects (y, idx). y: A Tensor. Has the same type as x. idx: A Tensor of type out_idx. """ # TODO(yongtang): switch to v2 once API deprecation # period (3 weeks) pass. # TODO(yongtang): The documentation should also # be updated when switch to v2. return gen_array_ops.unique(x, out_idx, name) unique.__doc__ = gen_array_ops.unique.__doc__ @tf_export("unique_with_counts") @dispatch.add_dispatch_support def unique_with_counts(x, out_idx=dtypes.int32, name=None): """Finds unique elements in a 1-D tensor. See also `tf.unique`. This operation returns a tensor `y` containing all of the unique elements of `x` sorted in the same order that they occur in `x`. This operation also returns a tensor `idx` the same size as `x` that contains the index of each value of `x` in the unique output `y`. Finally, it returns a third tensor `count` that contains the count of each element of `y` in `x`. In other words: y[idx[i]] = x[i] for i in [0, 1,...,rank(x) - 1] Example usage: >>> x = tf.constant([1, 1, 2, 4, 4, 4, 7, 8, 8]) >>> y, idx, count = unique_with_counts(x) >>> y <tf.Tensor: id=8, shape=(5,), dtype=int32, numpy=array([1, 2, 4, 7, 8], dtype=int32)> >>> idx <tf.Tensor: id=9, shape=(9,), dtype=int32, numpy=array([0, 0, 1, 2, 2, 2, 3, 4, 4], dtype=int32)> >>> count <tf.Tensor: id=10, shape=(5,), dtype=int32, numpy=array([2, 1, 3, 1, 2], dtype=int32)> Args: x: A Tensor. 1-D. out_idx: An optional tf.DType from: tf.int32, tf.int64. Defaults to tf.int32. name: A name for the operation (optional). Returns: A tuple of Tensor objects (y, idx, count). y: A Tensor. Has the same type as x. idx: A Tensor of type out_idx. count: A Tensor of type out_idx. """ # TODO(yongtang): switch to v2 once API deprecation # period (3 weeks) pass. # TODO(yongtang): The documentation should also # be updated when switch to v2. return gen_array_ops.unique_with_counts(x, out_idx, name) unique_with_counts.__doc__ = gen_array_ops.unique_with_counts.__doc__ @tf_export("split") @dispatch.add_dispatch_support def split(value, num_or_size_splits, axis=0, num=None, name="split"): """Splits a tensor `value` into a list of sub tensors. See also `tf.unstack`. If `num_or_size_splits` is an integer, then `value` is split along the dimension `axis` into `num_or_size_splits` smaller tensors. This requires that `value.shape[axis]` is divisible by `num_or_size_splits`. If `num_or_size_splits` is a 1-D Tensor (or list), then `value` is split into `len(num_or_size_splits)` elements. The shape of the `i`-th element has the same size as the `value` except along dimension `axis` where the size is `num_or_size_splits[i]`. For example: >>> x = tf.Variable(tf.random.uniform([5, 30], -1, 1)) >>> >>> # Split `x` into 3 tensors along dimension 1 >>> s0, s1, s2 = tf.split(x, num_or_size_splits=3, axis=1) >>> tf.shape(s0).numpy() array([ 5, 10], dtype=int32) >>> >>> # Split `x` into 3 tensors with sizes [4, 15, 11] along dimension 1 >>> split0, split1, split2 = tf.split(x, [4, 15, 11], 1) >>> tf.shape(split0).numpy() array([5, 4], dtype=int32) >>> tf.shape(split1).numpy() array([ 5, 15], dtype=int32) >>> tf.shape(split2).numpy() array([ 5, 11], dtype=int32) Args: value: The `Tensor` to split. num_or_size_splits: Either an integer indicating the number of splits along `axis` or a 1-D integer `Tensor` or Python list containing the sizes of each output tensor along `axis`. If a scalar, then it must evenly divide `value.shape[axis]`; otherwise the sum of sizes along the split axis must match that of the `value`. axis: An integer or scalar `int32` `Tensor`. The dimension along which to split. Must be in the range `[-rank(value), rank(value))`. Defaults to 0. num: Optional, used to specify the number of outputs when it cannot be inferred from the shape of `size_splits`. name: A name for the operation (optional). Returns: if `num_or_size_splits` is a scalar returns a list of `num_or_size_splits` `Tensor` objects; if `num_or_size_splits` is a 1-D Tensor returns `num_or_size_splits.get_shape[0]` `Tensor` objects resulting from splitting `value`. Raises: ValueError: If `num` is unspecified and cannot be inferred. """ if isinstance(num_or_size_splits, (numbers.Integral, tensor_shape.Dimension)): return gen_array_ops.split( axis=axis, num_split=num_or_size_splits, value=value, name=name) size_splits = ops.convert_to_tensor(num_or_size_splits) if size_splits._rank() == 0: raise ValueError( "Rank-0 tensors are not supported as the num_or_size_splits argument " "to split. Argument provided: %s" % (num_or_size_splits,)) if num is None: size_splits_shape = size_splits._shape_tuple() if size_splits_shape: num = size_splits_shape[0] if num is None: raise ValueError("Cannot infer num from shape %s" % num_or_size_splits) return gen_array_ops.split_v( value=value, size_splits=size_splits, axis=axis, num_split=num, name=name) @tf_export("transpose", v1=[]) @dispatch.add_dispatch_support def transpose_v2(a, perm=None, conjugate=False, name="transpose"): """Transposes `a`, where `a` is a Tensor. Permutes the dimensions according to the value of `perm`. The returned tensor's dimension `i` will correspond to the input dimension `perm[i]`. If `perm` is not given, it is set to (n-1...0), where n is the rank of the input tensor. Hence by default, this operation performs a regular matrix transpose on 2-D input Tensors. If conjugate is `True` and `a.dtype` is either `complex64` or `complex128` then the values of `a` are conjugated and transposed. @compatibility(numpy) In `numpy` transposes are memory-efficient constant time operations as they simply return a new view of the same data with adjusted `strides`. TensorFlow does not support strides, so `transpose` returns a new tensor with the items permuted. @end_compatibility For example: >>> x = tf.constant([[1, 2, 3], [4, 5, 6]]) >>> tf.transpose(x) <tf.Tensor: shape=(3, 2), dtype=int32, numpy= array([[1, 4], [2, 5], [3, 6]], dtype=int32)> Equivalently, you could call `tf.transpose(x, perm=[1, 0])`. If `x` is complex, setting conjugate=True gives the conjugate transpose: >>> x = tf.constant([[1 + 1j, 2 + 2j, 3 + 3j], ... [4 + 4j, 5 + 5j, 6 + 6j]]) >>> tf.transpose(x, conjugate=True) <tf.Tensor: shape=(3, 2), dtype=complex128, numpy= array([[1.-1.j, 4.-4.j], [2.-2.j, 5.-5.j], [3.-3.j, 6.-6.j]])> 'perm' is more useful for n-dimensional tensors where n > 2: >>> x = tf.constant([[[ 1, 2, 3], ... [ 4, 5, 6]], ... [[ 7, 8, 9], ... [10, 11, 12]]]) As above, simply calling `tf.transpose` will default to `perm=[2,1,0]`. To take the transpose of the matrices in dimension-0 (such as when you are transposing matrices where 0 is the batch dimension), you would set `perm=[0,2,1]`. >>> tf.transpose(x, perm=[0, 2, 1]) <tf.Tensor: shape=(2, 3, 2), dtype=int32, numpy= array([[[ 1, 4], [ 2, 5], [ 3, 6]], [[ 7, 10], [ 8, 11], [ 9, 12]]], dtype=int32)> Note: This has a shorthand `linalg.matrix_transpose`): Args: a: A `Tensor`. perm: A permutation of the dimensions of `a`. This should be a vector. conjugate: Optional bool. Setting it to `True` is mathematically equivalent to tf.math.conj(tf.transpose(input)). name: A name for the operation (optional). Returns: A transposed `Tensor`. """ return transpose(a=a, perm=perm, name=name, conjugate=conjugate) @tf_export(v1=["transpose"]) @dispatch.add_dispatch_support def transpose(a, perm=None, name="transpose", conjugate=False): """Transposes `a`. Permutes the dimensions according to `perm`. The returned tensor's dimension i will correspond to the input dimension `perm[i]`. If `perm` is not given, it is set to (n-1...0), where n is the rank of the input tensor. Hence by default, this operation performs a regular matrix transpose on 2-D input Tensors. If conjugate is True and `a.dtype` is either `complex64` or `complex128` then the values of `a` are conjugated and transposed. @compatibility(numpy) In `numpy` transposes are memory-efficient constant time operations as they simply return a new view of the same data with adjusted `strides`. TensorFlow does not support strides, so `transpose` returns a new tensor with the items permuted. @end_compatibility For example: ```python x = tf.constant([[1, 2, 3], [4, 5, 6]]) tf.transpose(x) # [[1, 4] # [2, 5] # [3, 6]] # Equivalently tf.transpose(x, perm=[1, 0]) # [[1, 4] # [2, 5] # [3, 6]] # If x is complex, setting conjugate=True gives the conjugate transpose x = tf.constant([[1 + 1j, 2 + 2j, 3 + 3j], [4 + 4j, 5 + 5j, 6 + 6j]]) tf.transpose(x, conjugate=True) # [[1 - 1j, 4 - 4j], # [2 - 2j, 5 - 5j], # [3 - 3j, 6 - 6j]] # 'perm' is more useful for n-dimensional tensors, for n > 2 x = tf.constant([[[ 1, 2, 3], [ 4, 5, 6]], [[ 7, 8, 9], [10, 11, 12]]]) # Take the transpose of the matrices in dimension-0 # (this common operation has a shorthand `linalg.matrix_transpose`) tf.transpose(x, perm=[0, 2, 1]) # [[[1, 4], # [2, 5], # [3, 6]], # [[7, 10], # [8, 11], # [9, 12]]] ``` Args: a: A `Tensor`. perm: A permutation of the dimensions of `a`. name: A name for the operation (optional). conjugate: Optional bool. Setting it to `True` is mathematically equivalent to tf.math.conj(tf.transpose(input)). Returns: A transposed `Tensor`. """ with ops.name_scope(name, "transpose", [a]) as name: if not tensor_util.is_tf_type(a): a = ops.convert_to_tensor(a, name="a") if conjugate and a.dtype.is_complex: transpose_fn = gen_array_ops.conjugate_transpose else: transpose_fn = gen_array_ops.transpose if perm is not None: return transpose_fn(a, perm, name=name) rank = a.shape.rank if rank is None: perm = gen_math_ops._range(gen_array_ops.rank(a) - 1, -1, -1) else: perm = np.arange(rank - 1, -1, -1, dtype=np.int32) return transpose_fn(a, perm, name=name) # pylint: disable=invalid-name @tf_export( "linalg.matrix_transpose", v1=["linalg.transpose", "linalg.matrix_transpose", "matrix_transpose"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("matrix_transpose", "linalg.transpose") def matrix_transpose(a, name="matrix_transpose", conjugate=False): """Transposes last two dimensions of tensor `a`. For example: ```python x = tf.constant([[1, 2, 3], [4, 5, 6]]) tf.linalg.matrix_transpose(x) # [[1, 4], # [2, 5], # [3, 6]] x = tf.constant([[1 + 1j, 2 + 2j, 3 + 3j], [4 + 4j, 5 + 5j, 6 + 6j]]) tf.linalg.matrix_transpose(x, conjugate=True) # [[1 - 1j, 4 - 4j], # [2 - 2j, 5 - 5j], # [3 - 3j, 6 - 6j]] # Matrix with two batch dimensions. # x.shape is [1, 2, 3, 4] # tf.linalg.matrix_transpose(x) is shape [1, 2, 4, 3] ``` Note that `tf.matmul` provides kwargs allowing for transpose of arguments. This is done with minimal cost, and is preferable to using this function. E.g. ```python # Good! Transpose is taken at minimal additional cost. tf.matmul(matrix, b, transpose_b=True) # Inefficient! tf.matmul(matrix, tf.linalg.matrix_transpose(b)) ``` @compatibility(numpy) In `numpy` transposes are memory-efficient constant time operations as they simply return a new view of the same data with adjusted `strides`. TensorFlow does not support strides, `linalg.matrix_transpose` returns a new tensor with the items permuted. @end_compatibility Args: a: A `Tensor` with `rank >= 2`. name: A name for the operation (optional). conjugate: Optional bool. Setting it to `True` is mathematically equivalent to tf.math.conj(tf.linalg.matrix_transpose(input)). Returns: A transposed batch matrix `Tensor`. Raises: ValueError: If `a` is determined statically to have `rank < 2`. """ with ops.name_scope(name, values=[a]): a = ops.convert_to_tensor(a, name="a") # If we know the number of dimensions (statically), we can do two things: # 1. Check that `a` is a (batch) matrix. # 2. Use a Python list for perm. This preserves static shape information # and avoids extra computations. a_shape = a.get_shape() ndims = a_shape.ndims if ndims is not None: if ndims < 2: raise ValueError( "Argument 'a' should be a (batch) matrix, with rank >= 2. Found: " "%s" % a_shape) perm = list(range(ndims - 2)) + [ndims - 1] + [ndims - 2] else: a_rank = rank(a) perm = concat( (gen_math_ops._range(0, a_rank - 2, 1), [a_rank - 1, a_rank - 2]), 0) return transpose(a, perm=perm, conjugate=conjugate) @tf_export("linalg.diag", v1=["linalg.diag", "matrix_diag"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("matrix_diag") def matrix_diag(diagonal, name="diag", k=0, num_rows=-1, num_cols=-1, padding_value=0, align="RIGHT_LEFT"): """Returns a batched diagonal tensor with given batched diagonal values. Returns a tensor with the contents in `diagonal` as `k[0]`-th to `k[1]`-th diagonals of a matrix, with everything else padded with `padding`. `num_rows` and `num_cols` specify the dimension of the innermost matrix of the output. If both are not specified, the op assumes the innermost matrix is square and infers its size from `k` and the innermost dimension of `diagonal`. If only one of them is specified, the op assumes the unspecified value is the smallest possible based on other criteria. Let `diagonal` have `r` dimensions `[I, J, ..., L, M, N]`. The output tensor has rank `r+1` with shape `[I, J, ..., L, M, num_rows, num_cols]` when only one diagonal is given (`k` is an integer or `k[0] == k[1]`). Otherwise, it has rank `r` with shape `[I, J, ..., L, num_rows, num_cols]`. The second innermost dimension of `diagonal` has double meaning. When `k` is scalar or `k[0] == k[1]`, `M` is part of the batch size [I, J, ..., M], and the output tensor is: ``` output[i, j, ..., l, m, n] = diagonal[i, j, ..., l, n-max(d_upper, 0)] ; if n - m == d_upper padding_value ; otherwise ``` Otherwise, `M` is treated as the number of diagonals for the matrix in the same batch (`M = k[1]-k[0]+1`), and the output tensor is: ``` output[i, j, ..., l, m, n] = diagonal[i, j, ..., l, diag_index, index_in_diag] ; if k[0] <= d <= k[1] padding_value ; otherwise ``` where `d = n - m`, `diag_index = k[1] - d`, and `index_in_diag = n - max(d, 0) + offset`. `offset` is zero except when the alignment of the diagonal is to the right. ``` offset = max_diag_len - diag_len(d) ; if (`align` in {RIGHT_LEFT, RIGHT_RIGHT} and `d >= 0`) or (`align` in {LEFT_RIGHT, RIGHT_RIGHT} and `d <= 0`) 0 ; otherwise ``` where `diag_len(d) = min(cols - max(d, 0), rows + min(d, 0))`. For example: ``` # The main diagonal. diagonal = np.array([[1, 2, 3, 4], # Input shape: (2, 4) [5, 6, 7, 8]]) tf.matrix_diag(diagonal) ==> [[[1, 0, 0, 0], # Output shape: (2, 4, 4) [0, 2, 0, 0], [0, 0, 3, 0], [0, 0, 0, 4]], [[5, 0, 0, 0], [0, 6, 0, 0], [0, 0, 7, 0], [0, 0, 0, 8]]] # A superdiagonal (per batch). diagonal = np.array([[1, 2, 3], # Input shape: (2, 3) [4, 5, 6]]) tf.matrix_diag(diagonal, k = 1) ==> [[[0, 1, 0, 0], # Output shape: (2, 4, 4) [0, 0, 2, 0], [0, 0, 0, 3], [0, 0, 0, 0]], [[0, 4, 0, 0], [0, 0, 5, 0], [0, 0, 0, 6], [0, 0, 0, 0]]] # A tridiagonal band (per batch). diagonals = np.array([[[8, 9, 0], # Input shape: (2, 2, 3) [1, 2, 3], [0, 4, 5]], [[2, 3, 0], [6, 7, 9], [0, 9, 1]]]) tf.matrix_diag(diagonals, k = (-1, 1)) ==> [[[1, 8, 0], # Output shape: (2, 3, 3) [4, 2, 9], [0, 5, 3]], [[6, 2, 0], [9, 7, 3], [0, 1, 9]]] # RIGHT_LEFT alignment. diagonals = np.array([[[0, 8, 9], # Input shape: (2, 2, 3) [1, 2, 3], [4, 5, 0]], [[0, 2, 3], [6, 7, 9], [9, 1, 0]]]) tf.matrix_diag(diagonals, k = (-1, 1), align="RIGHT_LEFT") ==> [[[1, 8, 0], # Output shape: (2, 3, 3) [4, 2, 9], [0, 5, 3]], [[6, 2, 0], [9, 7, 3], [0, 1, 9]]] # Rectangular matrix. diagonal = np.array([1, 2]) # Input shape: (2) tf.matrix_diag(diagonal, k = -1, num_rows = 3, num_cols = 4) ==> [[0, 0, 0, 0], # Output shape: (3, 4) [1, 0, 0, 0], [0, 2, 0, 0]] # Rectangular matrix with inferred num_cols and padding_value = 9. tf.matrix_diag(diagonal, k = -1, num_rows = 3, padding_value = 9) ==> [[9, 9], # Output shape: (3, 2) [1, 9], [9, 2]] ``` Args: diagonal: A `Tensor` with `rank k >= 1`. name: A name for the operation (optional). k: Diagonal offset(s). Positive value means superdiagonal, 0 refers to the main diagonal, and negative value means subdiagonals. `k` can be a single integer (for a single diagonal) or a pair of integers specifying the low and high ends of a matrix band. `k[0]` must not be larger than `k[1]`. num_rows: The number of rows of the output matrix. If it is not provided, the op assumes the output matrix is a square matrix and infers the matrix size from `d_lower`, `d_upper`, and the innermost dimension of `diagonal`. num_cols: The number of columns of the output matrix. If it is not provided, the op assumes the output matrix is a square matrix and infers the matrix size from `d_lower`, `d_upper`, and the innermost dimension of `diagonal`. padding_value: The value to fill the area outside the specified diagonal band with. Default is 0. align: Some diagonals are shorter than `max_diag_len` and need to be padded. `align` is a string specifying how superdiagonals and subdiagonals should be aligned, respectively. There are four possible alignments: "RIGHT_LEFT" (default), "LEFT_RIGHT", "LEFT_LEFT", and "RIGHT_RIGHT". "RIGHT_LEFT" aligns superdiagonals to the right (left-pads the row) and subdiagonals to the left (right-pads the row). It is the packing format LAPACK uses. cuSPARSE uses "LEFT_RIGHT", which is the opposite alignment. Returns: A Tensor. Has the same type as `diagonal`. """ # Special case to sidestep the tf.constant conversion error: # TypeError: Expected bool, got 0 of type 'int' instead. if hasattr(diagonal, "dtype") and diagonal.dtype == "bool": padding_value = bool(padding_value) return gen_array_ops.matrix_diag_v3( diagonal=diagonal, k=k, num_rows=num_rows, num_cols=num_cols, padding_value=padding_value, align=align, name=name) @tf_export("linalg.diag_part", v1=["linalg.diag_part", "matrix_diag_part"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("matrix_diag_part") def matrix_diag_part( input, # pylint:disable=redefined-builtin name="diag_part", k=0, padding_value=0, align="RIGHT_LEFT"): """Returns the batched diagonal part of a batched tensor. Returns a tensor with the `k[0]`-th to `k[1]`-th diagonals of the batched `input`. Assume `input` has `r` dimensions `[I, J, ..., L, M, N]`. Let `max_diag_len` be the maximum length among all diagonals to be extracted, `max_diag_len = min(M + min(k[1], 0), N + min(-k[0], 0))` Let `num_diags` be the number of diagonals to extract, `num_diags = k[1] - k[0] + 1`. If `num_diags == 1`, the output tensor is of rank `r - 1` with shape `[I, J, ..., L, max_diag_len]` and values: ``` diagonal[i, j, ..., l, n] = input[i, j, ..., l, n+y, n+x] ; if 0 <= n+y < M and 0 <= n+x < N, padding_value ; otherwise. ``` where `y = max(-k[1], 0)`, `x = max(k[1], 0)`. Otherwise, the output tensor has rank `r` with dimensions `[I, J, ..., L, num_diags, max_diag_len]` with values: ``` diagonal[i, j, ..., l, m, n] = input[i, j, ..., l, n+y, n+x] ; if 0 <= n+y < M and 0 <= n+x < N, padding_value ; otherwise. ``` where `d = k[1] - m`, `y = max(-d, 0) - offset`, and `x = max(d, 0) - offset`. `offset` is zero except when the alignment of the diagonal is to the right. ``` offset = max_diag_len - diag_len(d) ; if (`align` in {RIGHT_LEFT, RIGHT_RIGHT} and `d >= 0`) or (`align` in {LEFT_RIGHT, RIGHT_RIGHT} and `d <= 0`) 0 ; otherwise ``` where `diag_len(d) = min(cols - max(d, 0), rows + min(d, 0))`. The input must be at least a matrix. For example: ``` input = np.array([[[1, 2, 3, 4], # Input shape: (2, 3, 4) [5, 6, 7, 8], [9, 8, 7, 6]], [[5, 4, 3, 2], [1, 2, 3, 4], [5, 6, 7, 8]]]) # A main diagonal from each batch. tf.linalg.diag_part(input) ==> [[1, 6, 7], # Output shape: (2, 3) [5, 2, 7]] # A superdiagonal from each batch. tf.linalg.diag_part(input, k = 1) ==> [[2, 7, 6], # Output shape: (2, 3) [4, 3, 8]] # A band from each batch. tf.linalg.diag_part(input, k = (-1, 2)) ==> [[[3, 8, 0], # Output shape: (2, 4, 3) [2, 7, 6], [1, 6, 7], [0, 5, 8]], [[3, 4, 0], [4, 3, 8], [5, 2, 7], [0, 1, 6]]] # RIGHT_LEFT alignment. tf.linalg.diag_part(input, k = (-1, 2), align="RIGHT_LEFT") ==> [[[0, 3, 8], # Output shape: (2, 4, 3) [2, 7, 6], [1, 6, 7], [5, 8, 0]], [[0, 3, 4], [4, 3, 8], [5, 2, 7], [1, 6, 0]]] # max_diag_len can be shorter than the main diagonal. tf.linalg.diag_part(input, k = (-2, -1)) ==> [[[5, 8], [0, 9]], [[1, 6], [0, 5]]] # padding_value = 9 tf.linalg.diag_part(input, k = (1, 3), padding_value = 9) ==> [[[4, 9, 9], # Output shape: (2, 3, 3) [3, 8, 9], [2, 7, 6]], [[2, 9, 9], [3, 4, 9], [4, 3, 8]]] ``` Args: input: A `Tensor` with `rank k >= 2`. name: A name for the operation (optional). k: Diagonal offset(s). Positive value means superdiagonal, 0 refers to the main diagonal, and negative value means subdiagonals. `k` can be a single integer (for a single diagonal) or a pair of integers specifying the low and high ends of a matrix band. `k[0]` must not be larger than `k[1]`. padding_value: The value to fill the area outside the specified diagonal band with. Default is 0. align: Some diagonals are shorter than `max_diag_len` and need to be padded. `align` is a string specifying how superdiagonals and subdiagonals should be aligned, respectively. There are four possible alignments: "RIGHT_LEFT" (default), "LEFT_RIGHT", "LEFT_LEFT", and "RIGHT_RIGHT". "RIGHT_LEFT" aligns superdiagonals to the right (left-pads the row) and subdiagonals to the left (right-pads the row). It is the packing format LAPACK uses. cuSPARSE uses "LEFT_RIGHT", which is the opposite alignment. Returns: A Tensor containing diagonals of `input`. Has the same type as `input`. """ # Special case to sidestep the tf.constant conversion error: # TypeError: Expected bool, got 0 of type 'int' instead. if hasattr(input, "dtype") and input.dtype == "bool": padding_value = bool(padding_value) return gen_array_ops.matrix_diag_part_v3( input=input, k=k, padding_value=padding_value, align=align, name=name) @tf_export( "linalg.tensor_diag_part", v1=["linalg.tensor_diag_part", "diag_part"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("diag_part") def tensor_diag_part( input, # pylint:disable=redefined-builtin name=None): """Returns the diagonal part of the tensor. This operation returns a tensor with the `diagonal` part of the `input`. The `diagonal` part is computed as follows: Assume `input` has dimensions `[D1,..., Dk, D1,..., Dk]`, then the output is a tensor of rank `k` with dimensions `[D1,..., Dk]` where: `diagonal[i1,..., ik] = input[i1, ..., ik, i1,..., ik]`. For a rank 2 tensor, `linalg.diag_part` and `linalg.tensor_diag_part` produce the same result. For rank 3 and higher, linalg.diag_part extracts the diagonal of each inner-most matrix in the tensor. An example where they differ is given below. >>> x = [[[[1111,1112],[1121,1122]], ... [[1211,1212],[1221,1222]]], ... [[[2111, 2112], [2121, 2122]], ... [[2211, 2212], [2221, 2222]]] ... ] >>> tf.linalg.tensor_diag_part(x) <tf.Tensor: shape=(2, 2), dtype=int32, numpy= array([[1111, 1212], [2121, 2222]], dtype=int32)> >>> tf.linalg.diag_part(x).shape TensorShape([2, 2, 2]) Args: input: A `Tensor` with rank `2k`. name: A name for the operation (optional). Returns: A Tensor containing diagonals of `input`. Has the same type as `input`, and rank `k`. """ return gen_array_ops.diag_part(input=input, name=name) @tf_export("linalg.set_diag", v1=["linalg.set_diag", "matrix_set_diag"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("matrix_set_diag") def matrix_set_diag( input, # pylint:disable=redefined-builtin diagonal, name="set_diag", k=0, align="RIGHT_LEFT"): """Returns a batched matrix tensor with new batched diagonal values. Given `input` and `diagonal`, this operation returns a tensor with the same shape and values as `input`, except for the specified diagonals of the innermost matrices. These will be overwritten by the values in `diagonal`. `input` has `r+1` dimensions `[I, J, ..., L, M, N]`. When `k` is scalar or `k[0] == k[1]`, `diagonal` has `r` dimensions `[I, J, ..., L, max_diag_len]`. Otherwise, it has `r+1` dimensions `[I, J, ..., L, num_diags, max_diag_len]`. `num_diags` is the number of diagonals, `num_diags = k[1] - k[0] + 1`. `max_diag_len` is the longest diagonal in the range `[k[0], k[1]]`, `max_diag_len = min(M + min(k[1], 0), N + min(-k[0], 0))` The output is a tensor of rank `k+1` with dimensions `[I, J, ..., L, M, N]`. If `k` is scalar or `k[0] == k[1]`: ``` output[i, j, ..., l, m, n] = diagonal[i, j, ..., l, n-max(k[1], 0)] ; if n - m == k[1] input[i, j, ..., l, m, n] ; otherwise ``` Otherwise, ``` output[i, j, ..., l, m, n] = diagonal[i, j, ..., l, diag_index, index_in_diag] ; if k[0] <= d <= k[1] input[i, j, ..., l, m, n] ; otherwise ``` where `d = n - m`, `diag_index = k[1] - d`, and `index_in_diag = n - max(d, 0) + offset`. `offset` is zero except when the alignment of the diagonal is to the right. ``` offset = max_diag_len - diag_len(d) ; if (`align` in {RIGHT_LEFT, RIGHT_RIGHT} and `d >= 0`) or (`align` in {LEFT_RIGHT, RIGHT_RIGHT} and `d <= 0`) 0 ; otherwise ``` where `diag_len(d) = min(cols - max(d, 0), rows + min(d, 0))`. For example: ``` # The main diagonal. input = np.array([[[7, 7, 7, 7], # Input shape: (2, 3, 4) [7, 7, 7, 7], [7, 7, 7, 7]], [[7, 7, 7, 7], [7, 7, 7, 7], [7, 7, 7, 7]]]) diagonal = np.array([[1, 2, 3], # Diagonal shape: (2, 3) [4, 5, 6]]) tf.matrix_set_diag(input, diagonal) ==> [[[1, 7, 7, 7], # Output shape: (2, 3, 4) [7, 2, 7, 7], [7, 7, 3, 7]], [[4, 7, 7, 7], [7, 5, 7, 7], [7, 7, 6, 7]]] # A superdiagonal (per batch). tf.matrix_set_diag(input, diagonal, k = 1) ==> [[[7, 1, 7, 7], # Output shape: (2, 3, 4) [7, 7, 2, 7], [7, 7, 7, 3]], [[7, 4, 7, 7], [7, 7, 5, 7], [7, 7, 7, 6]]] # A band of diagonals. diagonals = np.array([[[9, 1, 0], # Diagonal shape: (2, 4, 3) [6, 5, 8], [1, 2, 3], [0, 4, 5]], [[1, 2, 0], [5, 6, 4], [6, 1, 2], [0, 3, 4]]]) tf.matrix_set_diag(input, diagonals, k = (-1, 2)) ==> [[[1, 6, 9, 7], # Output shape: (2, 3, 4) [4, 2, 5, 1], [7, 5, 3, 8]], [[6, 5, 1, 7], [3, 1, 6, 2], [7, 4, 2, 4]]] # RIGHT_LEFT alignment. diagonals = np.array([[[0, 9, 1], # Diagonal shape: (2, 4, 3) [6, 5, 8], [1, 2, 3], [4, 5, 0]], [[0, 1, 2], [5, 6, 4], [6, 1, 2], [3, 4, 0]]]) tf.matrix_set_diag(input, diagonals, k = (-1, 2), align="RIGHT_LEFT") ==> [[[1, 6, 9, 7], # Output shape: (2, 3, 4) [4, 2, 5, 1], [7, 5, 3, 8]], [[6, 5, 1, 7], [3, 1, 6, 2], [7, 4, 2, 4]]] ``` Args: input: A `Tensor` with rank `k + 1`, where `k >= 1`. diagonal: A `Tensor` with rank `k`, when `d_lower == d_upper`, or `k + 1`, otherwise. `k >= 1`. name: A name for the operation (optional). k: Diagonal offset(s). Positive value means superdiagonal, 0 refers to the main diagonal, and negative value means subdiagonals. `k` can be a single integer (for a single diagonal) or a pair of integers specifying the low and high ends of a matrix band. `k[0]` must not be larger than `k[1]`. align: Some diagonals are shorter than `max_diag_len` and need to be padded. `align` is a string specifying how superdiagonals and subdiagonals should be aligned, respectively. There are four possible alignments: "RIGHT_LEFT" (default), "LEFT_RIGHT", "LEFT_LEFT", and "RIGHT_RIGHT". "RIGHT_LEFT" aligns superdiagonals to the right (left-pads the row) and subdiagonals to the left (right-pads the row). It is the packing format LAPACK uses. cuSPARSE uses "LEFT_RIGHT", which is the opposite alignment. """ return gen_array_ops.matrix_set_diag_v3( input=input, diagonal=diagonal, k=k, align=align, name=name) # pylint: enable=invalid-name def _constant_if_small(value, shape, dtype, name): try: if np.prod(shape) < 1000: return constant(value, shape=shape, dtype=dtype, name=name) except TypeError: # Happens when shape is a Tensor, list with Tensor elements, etc. pass return None def _tag_zeros_tensor(fun): """ Tags the result of function by setting _is_zeros_tensor attribute. This is useful to compute Hessians of fused ops such as cross_entropy. """ def wrapped(*args, **kwargs): tensor = fun(*args, **kwargs) tensor._is_zeros_tensor = True return tensor return tf_decorator.make_decorator(fun, wrapped) @tf_export("zeros") @dispatch.add_dispatch_support @_tag_zeros_tensor def zeros(shape, dtype=dtypes.float32, name=None): """Creates a tensor with all elements set to zero. See also `tf.zeros_like`, `tf.ones`, `tf.fill`, `tf.eye`. This operation returns a tensor of type `dtype` with shape `shape` and all elements set to zero. >>> tf.zeros([3, 4], tf.int32) <tf.Tensor: shape=(3, 4), dtype=int32, numpy= array([[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]], dtype=int32)> Args: shape: A `list` of integers, a `tuple` of integers, or a 1-D `Tensor` of type `int32`. dtype: The DType of an element in the resulting `Tensor`. name: Optional string. A name for the operation. Returns: A `Tensor` with all elements set to zero. """ dtype = dtypes.as_dtype(dtype).base_dtype with ops.name_scope(name, "zeros", [shape]) as name: if dtype == dtypes.bool: zero = False elif dtype == dtypes.string: zero = "" elif dtype.is_quantized: zero = np.zeros([]).astype(dtype.as_numpy_dtype) else: zero = 0 if not isinstance(shape, ops.Tensor): try: if not context.executing_eagerly(): # Create a constant if it won't be very big. Otherwise create a fill # op to prevent serialized GraphDefs from becoming too large. output = _constant_if_small(zero, shape, dtype, name) if output is not None: return output # Go through tensor shapes to get int64-if-needed semantics shape = constant_op._tensor_shape_tensor_conversion_function( tensor_shape.TensorShape(shape)) except (TypeError, ValueError): # Happens when shape is a list with tensor elements shape = ops.convert_to_tensor(shape, dtype=dtypes.int32) if not shape._shape_tuple(): shape = reshape(shape, [-1]) # Ensure it's a vector output = fill(shape, constant(zero, dtype=dtype), name=name) assert output.dtype.base_dtype == dtype return output @tf_export(v1=["zeros_like"]) @dispatch.add_dispatch_support def zeros_like(tensor, dtype=None, name=None, optimize=True): """Creates a tensor with all elements set to zero. See also `tf.zeros`. Given a single tensor (`tensor`), this operation returns a tensor of the same type and shape as `tensor` with all elements set to zero. Optionally, you can use `dtype` to specify a new type for the returned tensor. Examples: >>> tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) >>> tf.zeros_like(tensor) <tf.Tensor: shape=(2, 3), dtype=int32, numpy= array([[0, 0, 0], [0, 0, 0]], dtype=int32)> >>> tf.zeros_like(tensor, dtype=tf.float32) <tf.Tensor: shape=(2, 3), dtype=float32, numpy= array([[0., 0., 0.], [0., 0., 0.]], dtype=float32)> Args: tensor: A `Tensor`. dtype: A type for the returned `Tensor`. Must be `float16`, `float32`, `float64`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `int64`, `complex64`, `complex128`, `bool` or `string`. (optional) name: A name for the operation (optional). optimize: if `True`, attempt to statically determine the shape of `tensor` and encode it as a constant. (optional, defaults to `True`) Returns: A `Tensor` with all elements set to zero. """ return zeros_like_impl(tensor, dtype, name, optimize) @tf_export("zeros_like", v1=[]) @dispatch.add_dispatch_support def zeros_like_v2( input, # pylint: disable=redefined-builtin dtype=None, name=None): """Creates a tensor with all elements set to zero. See also `tf.zeros`. Given a single tensor or array-like object (`input`), this operation returns a tensor of the same type and shape as `input` with all elements set to zero. Optionally, you can use `dtype` to specify a new type for the returned tensor. Examples: >>> tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) >>> tf.zeros_like(tensor) <tf.Tensor: shape=(2, 3), dtype=int32, numpy= array([[0, 0, 0], [0, 0, 0]], dtype=int32)> >>> tf.zeros_like(tensor, dtype=tf.float32) <tf.Tensor: shape=(2, 3), dtype=float32, numpy= array([[0., 0., 0.], [0., 0., 0.]], dtype=float32)> >>> tf.zeros_like([[1, 2, 3], [4, 5, 6]]) <tf.Tensor: shape=(2, 3), dtype=int32, numpy= array([[0, 0, 0], [0, 0, 0]], dtype=int32)> Args: input: A `Tensor` or array-like object. dtype: A type for the returned `Tensor`. Must be `float16`, `float32`, `float64`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `int64`, `complex64`, `complex128`, `bool` or `string` (optional). name: A name for the operation (optional). Returns: A `Tensor` with all elements set to zero. """ return zeros_like_impl(input, dtype, name, optimize=True) @_tag_zeros_tensor def zeros_like_impl(tensor, dtype, name, optimize=True): """Internal implementation for the v1/v2 zeros_like API calls.""" with ops.name_scope(name, "zeros_like", [tensor]) as name: if not tensor_util.is_tf_type(tensor): tensor = ops.convert_to_tensor(tensor, name="tensor") tensor_shape = tensor.shape tensor_dtype = tensor.dtype if context.executing_eagerly(): if dtype is not None and dtype != tensor_dtype: return zeros( shape_internal(tensor, optimize=optimize), dtype=dtype, name=name) return gen_array_ops.zeros_like(tensor, name=name) # For now, variant types must be created via zeros_like; as we need to # pass the input variant object to the proper zeros callback. if (optimize and tensor_shape.is_fully_defined() and tensor_dtype != dtypes.variant): # We can produce a zeros tensor independent of the value of 'tensor', # since the shape is known statically. return zeros(tensor_shape, dtype=dtype or tensor_dtype, name=name) if dtype is not None and dtype != tensor_dtype and dtype != dtypes.variant: return zeros( shape_internal(tensor, optimize=optimize), dtype=dtype, name=name) else: return gen_array_ops.zeros_like(tensor, name=name) @tf_export(v1=["ones_like"]) @dispatch.add_dispatch_support def ones_like(tensor, dtype=None, name=None, optimize=True): """Creates a tensor with all elements set to 1. See also `tf.ones`. Given a single tensor (`tensor`), this operation returns a tensor of the same type and shape as `tensor` with all elements set to 1. Optionally, you can specify a new type (`dtype`) for the returned tensor. For example: ```python tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) tf.ones_like(tensor) # [[1, 1, 1], [1, 1, 1]] ``` Args: tensor: A `Tensor`. dtype: A type for the returned `Tensor`. Must be `float32`, `float64`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `int64`, `complex64`, `complex128` or `bool`. name: A name for the operation (optional). optimize: if true, attempt to statically determine the shape of 'tensor' and encode it as a constant. Returns: A `Tensor` with all elements set to 1. """ return ones_like_impl(tensor, dtype, name, optimize) @tf_export("ones_like", v1=[]) @dispatch.add_dispatch_support def ones_like_v2( input, # pylint: disable=redefined-builtin dtype=None, name=None): """Creates a tensor of all ones that has the same shape as the input. See also `tf.ones`. Given a single tensor (`tensor`), this operation returns a tensor of the same type and shape as `tensor` with all elements set to 1. Optionally, you can use `dtype` to specify a new type for the returned tensor. For example: >>> tensor = tf.constant([[1, 2, 3], [4, 5, 6]]) >>> tf.ones_like(tensor) <tf.Tensor: shape=(2, 3), dtype=int32, numpy= array([[1, 1, 1], [1, 1, 1]], dtype=int32)> Args: input: A `Tensor`. dtype: A type for the returned `Tensor`. Must be `float16`, `float32`, `float64`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `int64`, `complex64`, `complex128`, `bool` or `string`. name: A name for the operation (optional). Returns: A `Tensor` with all elements set to one. """ return ones_like_impl(input, dtype, name, optimize=True) def ones_like_impl(tensor, dtype, name, optimize=True): """Internal implementation for the v1/v2 ones_like API calls.""" with ops.name_scope(name, "ones_like", [tensor]) as name: tensor = ops.convert_to_tensor(tensor, name="tensor") ones_shape = shape_internal(tensor, optimize=optimize) if dtype is None: dtype = tensor.dtype ret = ones(ones_shape, dtype=dtype, name=name) if not context.executing_eagerly(): ret.set_shape(tensor.get_shape()) return ret @tf_export("ones") @dispatch.add_dispatch_support def ones(shape, dtype=dtypes.float32, name=None): """Creates a tensor with all elements set to one (1). See also `tf.ones_like`, `tf.zeros`, `tf.fill`, `tf.eye`. This operation returns a tensor of type `dtype` with shape `shape` and all elements set to one. >>> tf.ones([3, 4], tf.int32) <tf.Tensor: shape=(3, 4), dtype=int32, numpy= array([[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]], dtype=int32)> Args: shape: A `list` of integers, a `tuple` of integers, or a 1-D `Tensor` of type `int32`. dtype: Optional DType of an element in the resulting `Tensor`. Default is `tf.float32`. name: Optional string. A name for the operation. Returns: A `Tensor` with all elements set to one (1). """ dtype = dtypes.as_dtype(dtype).base_dtype with ops.name_scope(name, "ones", [shape]) as name: if dtype == dtypes.bool: one = True elif dtype.is_quantized: one = np.ones([]).astype(dtype.as_numpy_dtype) else: one = 1 if not isinstance(shape, ops.Tensor): try: if not context.executing_eagerly(): # Create a constant if it won't be very big. Otherwise create a fill # op to prevent serialized GraphDefs from becoming too large. output = _constant_if_small(one, shape, dtype, name) if output is not None: return output # Go through tensor shapes to get int64-if-needed semantics shape = constant_op._tensor_shape_tensor_conversion_function( tensor_shape.TensorShape(shape)) except (TypeError, ValueError): # Happens when shape is a list with tensor elements shape = ops.convert_to_tensor(shape, dtype=dtypes.int32) if not shape._shape_tuple(): shape = reshape(shape, [-1]) # Ensure it's a vector output = fill(shape, constant(one, dtype=dtype), name=name) assert output.dtype.base_dtype == dtype return output @tf_export(v1=["placeholder"]) def placeholder(dtype, shape=None, name=None): """Inserts a placeholder for a tensor that will be always fed. **Important**: This tensor will produce an error if evaluated. Its value must be fed using the `feed_dict` optional argument to `Session.run()`, `Tensor.eval()`, or `Operation.run()`. For example: ```python x = tf.compat.v1.placeholder(tf.float32, shape=(1024, 1024)) y = tf.matmul(x, x) with tf.compat.v1.Session() as sess: print(sess.run(y)) # ERROR: will fail because x was not fed. rand_array = np.random.rand(1024, 1024) print(sess.run(y, feed_dict={x: rand_array})) # Will succeed. ``` @compatibility(eager) Placeholders are not compatible with eager execution. @end_compatibility Args: dtype: The type of elements in the tensor to be fed. shape: The shape of the tensor to be fed (optional). If the shape is not specified, you can feed a tensor of any shape. name: A name for the operation (optional). Returns: A `Tensor` that may be used as a handle for feeding a value, but not evaluated directly. Raises: RuntimeError: if eager execution is enabled """ if context.executing_eagerly(): raise RuntimeError("tf.placeholder() is not compatible with " "eager execution.") return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name) @tf_export(v1=["placeholder_with_default"]) def placeholder_with_default(input, shape, name=None): # pylint: disable=redefined-builtin """A placeholder op that passes through `input` when its output is not fed. Args: input: A `Tensor`. The default value to produce when output is not fed. shape: A `tf.TensorShape` or list of `int`s. The (possibly partial) shape of the tensor. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. """ return gen_array_ops.placeholder_with_default(input, shape, name) @tf_export(v1=["sparse.placeholder", "sparse_placeholder"]) @deprecation.deprecated_endpoints("sparse_placeholder") def sparse_placeholder(dtype, shape=None, name=None): """Inserts a placeholder for a sparse tensor that will be always fed. **Important**: This sparse tensor will produce an error if evaluated. Its value must be fed using the `feed_dict` optional argument to `Session.run()`, `Tensor.eval()`, or `Operation.run()`. For example: ```python x = tf.compat.v1.sparse.placeholder(tf.float32) y = tf.sparse.reduce_sum(x) with tf.compat.v1.Session() as sess: print(sess.run(y)) # ERROR: will fail because x was not fed. indices = np.array([[3, 2, 0], [4, 5, 1]], dtype=np.int64) values = np.array([1.0, 2.0], dtype=np.float32) shape = np.array([7, 9, 2], dtype=np.int64) print(sess.run(y, feed_dict={ x: tf.compat.v1.SparseTensorValue(indices, values, shape)})) # Will succeed. print(sess.run(y, feed_dict={ x: (indices, values, shape)})) # Will succeed. sp = tf.sparse.SparseTensor(indices=indices, values=values, dense_shape=shape) sp_value = sp.eval(session=sess) print(sess.run(y, feed_dict={x: sp_value})) # Will succeed. ``` @compatibility{eager} Placeholders are not compatible with eager execution. Args: dtype: The type of `values` elements in the tensor to be fed. shape: The shape of the tensor to be fed (optional). If the shape is not specified, you can feed a sparse tensor of any shape. name: A name for prefixing the operations (optional). Returns: A `SparseTensor` that may be used as a handle for feeding a value, but not evaluated directly. Raises: RuntimeError: if eager execution is enabled """ if context.executing_eagerly(): raise RuntimeError("`sparse_placeholder` is not compatible with " "eager execution.") shape_name = (name + "/shape") if name is not None else None default_shape_name = (name + "/shape_default") if name is not None else None if shape is None: rank = None dense_shape = placeholder(dtypes.int64, shape=[rank], name=shape_name) dense_shape_default = tensor_util.constant_value_as_shape(dense_shape) else: if isinstance(shape, ops.Tensor): rank = shape.get_shape()[0] dense_shape_default = tensor_util.constant_value_as_shape(shape) else: rank = len(shape) # determine the shape, to override the `.shape` property of the # `SparseTensor` dense_shape_default = tensor_shape.TensorShape( tuple(None if dim == -1 else dim for dim in shape)) shape = tuple(tensor_shape.dimension_value(dim) for dim in shape) shape = tuple(-1 if dim is None else dim for dim in shape) shape = ops.convert_to_tensor( shape, dtype=dtypes.int64, name=default_shape_name) # `dense_shape` needs to be feedable (for users that treat this as an # actual placeholder). `constant_value_as_shape` sets constants to # not-feedable. placeholder_with_default works, but blocks `SparseTensor` # from reading the default value back out. dense_shape = placeholder_with_default( shape, shape=shape.shape, name=shape_name) result = sparse_tensor.SparseTensor( values=placeholder( dtype, shape=[None], name=(name + "/values") if name is not None else None), indices=placeholder( dtypes.int64, shape=[None, rank], name=(name + "/indices") if name is not None else None), dense_shape=dense_shape) # Now the SparseTensor.shape is a list of `None`s, since it couldn't read the # default shape out of the placeholder. Override that # shape to be the value determined here, so partial shapes can be # propagated. result._dense_shape_default = dense_shape_default return result # pylint: enable=redefined-outer-name @tf_export("pad", v1=[]) @dispatch.add_dispatch_support def pad_v2(tensor, paddings, mode="CONSTANT", constant_values=0, name=None): """Pads a tensor. This operation pads a `tensor` according to the `paddings` you specify. `paddings` is an integer tensor with shape `[n, 2]`, where n is the rank of `tensor`. For each dimension D of `input`, `paddings[D, 0]` indicates how many values to add before the contents of `tensor` in that dimension, and `paddings[D, 1]` indicates how many values to add after the contents of `tensor` in that dimension. If `mode` is "REFLECT" then both `paddings[D, 0]` and `paddings[D, 1]` must be no greater than `tensor.dim_size(D) - 1`. If `mode` is "SYMMETRIC" then both `paddings[D, 0]` and `paddings[D, 1]` must be no greater than `tensor.dim_size(D)`. The padded size of each dimension D of the output is: `paddings[D, 0] + tensor.dim_size(D) + paddings[D, 1]` For example: ```python t = tf.constant([[1, 2, 3], [4, 5, 6]]) paddings = tf.constant([[1, 1,], [2, 2]]) # 'constant_values' is 0. # rank of 't' is 2. tf.pad(t, paddings, "CONSTANT") # [[0, 0, 0, 0, 0, 0, 0], # [0, 0, 1, 2, 3, 0, 0], # [0, 0, 4, 5, 6, 0, 0], # [0, 0, 0, 0, 0, 0, 0]] tf.pad(t, paddings, "REFLECT") # [[6, 5, 4, 5, 6, 5, 4], # [3, 2, 1, 2, 3, 2, 1], # [6, 5, 4, 5, 6, 5, 4], # [3, 2, 1, 2, 3, 2, 1]] tf.pad(t, paddings, "SYMMETRIC") # [[2, 1, 1, 2, 3, 3, 2], # [2, 1, 1, 2, 3, 3, 2], # [5, 4, 4, 5, 6, 6, 5], # [5, 4, 4, 5, 6, 6, 5]] ``` Args: tensor: A `Tensor`. paddings: A `Tensor` of type `int32`. mode: One of "CONSTANT", "REFLECT", or "SYMMETRIC" (case-insensitive) constant_values: In "CONSTANT" mode, the scalar pad value to use. Must be same type as `tensor`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `tensor`. Raises: ValueError: When mode is not one of "CONSTANT", "REFLECT", or "SYMMETRIC". """ return pad(tensor, paddings, mode, name, constant_values) @tf_export(v1=["pad"]) @dispatch.add_dispatch_support def pad(tensor, paddings, mode="CONSTANT", name=None, constant_values=0): # pylint: disable=invalid-name """Pads a tensor. This operation pads a `tensor` according to the `paddings` you specify. `paddings` is an integer tensor with shape `[n, 2]`, where n is the rank of `tensor`. For each dimension D of `input`, `paddings[D, 0]` indicates how many values to add before the contents of `tensor` in that dimension, and `paddings[D, 1]` indicates how many values to add after the contents of `tensor` in that dimension. If `mode` is "REFLECT" then both `paddings[D, 0]` and `paddings[D, 1]` must be no greater than `tensor.dim_size(D) - 1`. If `mode` is "SYMMETRIC" then both `paddings[D, 0]` and `paddings[D, 1]` must be no greater than `tensor.dim_size(D)`. The padded size of each dimension D of the output is: `paddings[D, 0] + tensor.dim_size(D) + paddings[D, 1]` For example: ```python t = tf.constant([[1, 2, 3], [4, 5, 6]]) paddings = tf.constant([[1, 1,], [2, 2]]) # 'constant_values' is 0. # rank of 't' is 2. tf.pad(t, paddings, "CONSTANT") # [[0, 0, 0, 0, 0, 0, 0], # [0, 0, 1, 2, 3, 0, 0], # [0, 0, 4, 5, 6, 0, 0], # [0, 0, 0, 0, 0, 0, 0]] tf.pad(t, paddings, "REFLECT") # [[6, 5, 4, 5, 6, 5, 4], # [3, 2, 1, 2, 3, 2, 1], # [6, 5, 4, 5, 6, 5, 4], # [3, 2, 1, 2, 3, 2, 1]] tf.pad(t, paddings, "SYMMETRIC") # [[2, 1, 1, 2, 3, 3, 2], # [2, 1, 1, 2, 3, 3, 2], # [5, 4, 4, 5, 6, 6, 5], # [5, 4, 4, 5, 6, 6, 5]] ``` Args: tensor: A `Tensor`. paddings: A `Tensor` of type `int32`. mode: One of "CONSTANT", "REFLECT", or "SYMMETRIC" (case-insensitive) name: A name for the operation (optional). constant_values: In "CONSTANT" mode, the scalar pad value to use. Must be same type as `tensor`. Returns: A `Tensor`. Has the same type as `tensor`. Raises: ValueError: When mode is not one of "CONSTANT", "REFLECT", or "SYMMETRIC". """ # Convert lower/mixed case to upper for NumPy compatibility # NumPy uses all lower-case modes. mode = mode.upper() if mode == "CONSTANT": # TODO(rjryan): Once the forward compatibility period (3 weeks) have passed # remove the "Pad" fallback here. if not tensor_util.is_tf_type(constant_values) and constant_values == 0: result = gen_array_ops.pad(tensor, paddings, name=name) else: result = gen_array_ops.pad_v2( tensor, paddings, constant_values, name=name) elif mode == "REFLECT": result = gen_array_ops.mirror_pad( tensor, paddings, mode="REFLECT", name=name) elif mode == "SYMMETRIC": result = gen_array_ops.mirror_pad( tensor, paddings, mode="SYMMETRIC", name=name) else: raise ValueError("Unknown padding mode: %s" % mode) # Restore shape information where possible. if not context.executing_eagerly(): paddings_constant = _get_paddings_constant(paddings) input_shape = ( tensor_shape.TensorShape(tensor.shape) if isinstance(tensor, ops.Tensor) else result.op.inputs[0].shape) if (input_shape.ndims is not None and not result.shape.is_fully_defined() and paddings_constant is not None): new_shape = [] for padding, dim in zip(paddings_constant, input_shape.as_list()): if padding is None or dim is None or any((x is None for x in padding)): new_shape.append(None) else: new_shape.append(sum(padding) + dim) result.set_shape(new_shape) return result def _get_paddings_constant(paddings): """Helper to get the constant values of the paddings arg to pad(). Used under V1 graph mode to facilitate computation of the shape of the output tensor of `pad()`. Args: paddings: The same paddings arg as passed to pad(). Can be a Tensor, or a nested list or tuple of Tensor and/or numbers. Returns: A nested list or numbers or `None`, in which `None` indicates unknown padding size. """ if isinstance(paddings, ops.Tensor): return tensor_util.constant_value(paddings, partial=True) elif isinstance(paddings, (list, tuple)): return [_get_paddings_constant(x) for x in paddings] else: return paddings @tf_export("meshgrid") @dispatch.add_dispatch_support def meshgrid(*args, **kwargs): """Broadcasts parameters for evaluation on an N-D grid. Given N one-dimensional coordinate arrays `*args`, returns a list `outputs` of N-D coordinate arrays for evaluating expressions on an N-D grid. Notes: `meshgrid` supports cartesian ('xy') and matrix ('ij') indexing conventions. When the `indexing` argument is set to 'xy' (the default), the broadcasting instructions for the first two dimensions are swapped. Examples: Calling `X, Y = meshgrid(x, y)` with the tensors ```python x = [1, 2, 3] y = [4, 5, 6] X, Y = tf.meshgrid(x, y) # X = [[1, 2, 3], # [1, 2, 3], # [1, 2, 3]] # Y = [[4, 4, 4], # [5, 5, 5], # [6, 6, 6]] ``` Args: *args: `Tensor`s with rank 1. **kwargs: - indexing: Either 'xy' or 'ij' (optional, default: 'xy'). - name: A name for the operation (optional). Returns: outputs: A list of N `Tensor`s with rank N. Raises: TypeError: When no keyword arguments (kwargs) are passed. ValueError: When indexing keyword argument is not one of `xy` or `ij`. """ indexing = kwargs.pop("indexing", "xy") name = kwargs.pop("name", "meshgrid") if kwargs: key = list(kwargs.keys())[0] raise TypeError("'{}' is an invalid keyword argument " "for this function".format(key)) if indexing not in ("xy", "ij"): raise ValueError("indexing parameter must be either 'xy' or 'ij'") with ops.name_scope(name, "meshgrid", args) as name: ndim = len(args) s0 = (1,) * ndim if not ndim: return [] # Prepare reshape by inserting dimensions with size 1 where needed output = [] for i, x in enumerate(args): output.append(reshape(stack(x), (s0[:i] + (-1,) + s0[i + 1::]))) # Create parameters for broadcasting each tensor to the full size shapes = [size(x) for x in args] output_dtype = ops.convert_to_tensor(args[0]).dtype.base_dtype if indexing == "xy" and ndim > 1: output[0] = reshape(output[0], (1, -1) + (1,) * (ndim - 2)) output[1] = reshape(output[1], (-1, 1) + (1,) * (ndim - 2)) shapes[0], shapes[1] = shapes[1], shapes[0] # TODO(nolivia): improve performance with a broadcast mult_fact = ones(shapes, output_dtype) return [x * mult_fact for x in output] NEW_AXIS = -1 SHRINK_AXIS = -2 # PEP-8 naming # pylint: disable=invalid-name,redefined-outer-name def _compute_size_of_strided_dim(shrink, spec, size): """Computes the size of a single strided slice dimension.""" unknown = None # Document what None means here. use_full_range = None # Document other use of None. # if this is a shrink axis (i.e. a non-range index) # it either will produce an error or return 1 if shrink: return 1 if size is unknown or size.value is unknown: return unknown size = size.value stride = spec.step if stride is not unknown: if stride == 0: return unknown stride = spec.step valid_range = [0, size] if stride > 0 else [-1, size - 1] # PEP-8 naming # pylint: disable=invalid-name def canonical(x, c): if x is use_full_range: return valid_range[c] if stride > 0 else valid_range[(c + 1) & 1] else: x_fwd = size + x if x < 0 else x # make negative indices positive return max(valid_range[0], min(valid_range[1], x_fwd)) begin = canonical(spec.start, 0) end = canonical(spec.stop, 1) interval_length = end - begin if interval_length == 0 or ((interval_length < 0) != (stride < 0)): return 0 else: remainder = 1 if interval_length % stride != 0 else 0 return interval_length // stride + remainder else: return unknown # unknown because stride is unknown def _TileGradShape(op): """Shape function for the TileGrad op.""" multiples_shape = op.inputs[1].get_shape().with_rank(1) input_shape = op.inputs[0].get_shape().with_rank(multiples_shape[0]) # NOTE(mrry): Represent `multiples` as a `TensorShape` because (i) # it is a vector of non-negative integers, and (ii) doing so allows # us to handle partially-known multiples. multiples = tensor_util.constant_value_as_shape(op.inputs[1]).with_rank( input_shape.ndims) if multiples.ndims is None: return [tensor_shape.unknown_shape()] else: output_dims = [] for dim, multiple in zip(input_shape.dims, multiples.dims): output_dims.append(dim // multiple) return [tensor_shape.TensorShape(output_dims)] @tf_export("edit_distance") @dispatch.add_dispatch_support def edit_distance(hypothesis, truth, normalize=True, name="edit_distance"): """Computes the Levenshtein distance between sequences. This operation takes variable-length sequences (`hypothesis` and `truth`), each provided as a `SparseTensor`, and computes the Levenshtein distance. You can normalize the edit distance by length of `truth` by setting `normalize` to true. For example: Given the following input, * `hypothesis` is a `tf.SparseTensor` of shape `[2, 1, 1]` * `truth` is a `tf.SparseTensor` of shape `[2, 2, 2]` >>> hypothesis = tf.SparseTensor( ... [[0, 0, 0], ... [1, 0, 0]], ... ["a", "b"], ... (2, 1, 1)) >>> truth = tf.SparseTensor( ... [[0, 1, 0], ... [1, 0, 0], ... [1, 0, 1], ... [1, 1, 0]], ... ["a", "b", "c", "a"], ... (2, 2, 2)) >>> tf.edit_distance(hypothesis, truth, normalize=True) <tf.Tensor: shape=(2, 2), dtype=float32, numpy= array([[inf, 1. ], [0.5, 1. ]], dtype=float32)> The operation returns a dense Tensor of shape `[2, 2]` with edit distances normalized by `truth` lengths. **Note**: It is possible to calculate edit distance between two sparse tensors with variable-length values. However, attempting to create them while eager execution is enabled will result in a `ValueError`. For the following inputs, ```python # 'hypothesis' is a tensor of shape `[2, 1]` with variable-length values: # (0,0) = ["a"] # (1,0) = ["b"] hypothesis = tf.sparse.SparseTensor( [[0, 0, 0], [1, 0, 0]], ["a", "b"], (2, 1, 1)) # 'truth' is a tensor of shape `[2, 2]` with variable-length values: # (0,0) = [] # (0,1) = ["a"] # (1,0) = ["b", "c"] # (1,1) = ["a"] truth = tf.sparse.SparseTensor( [[0, 1, 0], [1, 0, 0], [1, 0, 1], [1, 1, 0]], ["a", "b", "c", "a"], (2, 2, 2)) normalize = True # The output would be a dense Tensor of shape `(2,)`, with edit distances normalized by 'truth' lengths. # output => array([0., 0.5], dtype=float32) ``` Args: hypothesis: A `SparseTensor` containing hypothesis sequences. truth: A `SparseTensor` containing truth sequences. normalize: A `bool`. If `True`, normalizes the Levenshtein distance by length of `truth.` name: A name for the operation (optional). Returns: A dense `Tensor` with rank `R - 1`, where R is the rank of the `SparseTensor` inputs `hypothesis` and `truth`. Raises: TypeError: If either `hypothesis` or `truth` are not a `SparseTensor`. """ if not isinstance( hypothesis, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): raise TypeError("Hypothesis must be a SparseTensor.") if not isinstance( truth, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): raise TypeError("Truth must be a SparseTensor.") return gen_array_ops.edit_distance( hypothesis.indices, hypothesis.values, hypothesis.dense_shape, truth.indices, truth.values, truth.dense_shape, normalize=normalize, name=name) @ops.RegisterGradient("FakeQuantWithMinMaxArgs") def _FakeQuantWithMinMaxArgsGradient(op, grad): """Gradient for FakeQuantWithMinMaxArgs op.""" return fake_quant_with_min_max_args_gradient( grad, op.inputs[0], min=op.get_attr("min"), max=op.get_attr("max"), num_bits=op.get_attr("num_bits"), narrow_range=op.get_attr("narrow_range")) @ops.RegisterGradient("FakeQuantWithMinMaxVars") def _FakeQuantWithMinMaxVarsGradient(op, grad): """Gradient for FakeQuantWithMinMaxVars op.""" return fake_quant_with_min_max_vars_gradient( grad, op.inputs[0], op.inputs[1], op.inputs[2], num_bits=op.get_attr("num_bits"), narrow_range=op.get_attr("narrow_range")) @ops.RegisterGradient("FakeQuantWithMinMaxVarsPerChannel") def _FakeQuantWithMinMaxVarsPerChannelGradient(op, grad): """Gradient for FakeQuantWithMinMaxVarsPerChannel op.""" return fake_quant_with_min_max_vars_per_channel_gradient( grad, op.inputs[0], op.inputs[1], op.inputs[2], num_bits=op.get_attr("num_bits"), narrow_range=op.get_attr("narrow_range")) @ops.RegisterGradient("QuantizeAndDequantizeV4") def _QuantizeAndDequantizeV4Grad(op, grad): """Gradient for QuantizeAndDequantizeV4 op.""" return quantize_and_dequantize_v4_grad( grad, op.inputs[0], op.inputs[1], op.inputs[2], axis=op.get_attr("axis")) @ops.RegisterGradient("QuantizeAndDequantizeV4Grad") def _QuantizeAndDequantizeV4GradGrad(op, grad): """Gradient for QuantizeAndDequantizeV4Grad op.""" return _QuantizeAndDequantizeV4Grad(op, grad) @tf_export("required_space_to_batch_paddings") def required_space_to_batch_paddings(input_shape, block_shape, base_paddings=None, name=None): """Calculate padding required to make block_shape divide input_shape. This function can be used to calculate a suitable paddings argument for use with space_to_batch_nd and batch_to_space_nd. Args: input_shape: int32 Tensor of shape [N]. block_shape: int32 Tensor of shape [N]. base_paddings: Optional int32 Tensor of shape [N, 2]. Specifies the minimum amount of padding to use. All elements must be >= 0. If not specified, defaults to 0. name: string. Optional name prefix. Returns: (paddings, crops), where: `paddings` and `crops` are int32 Tensors of rank 2 and shape [N, 2] satisfying: paddings[i, 0] = base_paddings[i, 0]. 0 <= paddings[i, 1] - base_paddings[i, 1] < block_shape[i] (input_shape[i] + paddings[i, 0] + paddings[i, 1]) % block_shape[i] == 0 crops[i, 0] = 0 crops[i, 1] = paddings[i, 1] - base_paddings[i, 1] Raises: ValueError if called with incompatible shapes. """ with ops.name_scope(name, "required_space_to_batch_paddings", [input_shape, block_shape]): input_shape = ops.convert_to_tensor( input_shape, dtype=dtypes.int32, name="input_shape") block_shape = ops.convert_to_tensor( block_shape, dtype=dtypes.int32, name="block_shape") block_shape.get_shape().assert_is_fully_defined() block_shape.get_shape().assert_has_rank(1) num_block_dims = block_shape.get_shape().dims[0].value if num_block_dims == 0: return zeros([0, 2], dtypes.int32), zeros([0, 2], dtypes.int32) input_shape.get_shape().assert_is_compatible_with([num_block_dims]) if base_paddings is not None: base_paddings = ops.convert_to_tensor( base_paddings, dtype=dtypes.int32, name="base_paddings") base_paddings.get_shape().assert_is_compatible_with([num_block_dims, 2]) else: base_paddings = zeros([num_block_dims, 2], dtypes.int32) const_block_shape = tensor_util.constant_value(block_shape) const_input_shape = tensor_util.constant_value(input_shape) const_base_paddings = tensor_util.constant_value(base_paddings) if (const_block_shape is not None and const_input_shape is not None and const_base_paddings is not None): block_shape = const_block_shape input_shape = const_input_shape base_paddings = const_base_paddings # Use same expression for both constant and non-constant case. pad_start = base_paddings[:, 0] orig_pad_end = base_paddings[:, 1] full_input_shape = input_shape + pad_start + orig_pad_end pad_end_extra = (block_shape - full_input_shape % block_shape) % block_shape pad_end = orig_pad_end + pad_end_extra result_paddings = stack( [[pad_start[i], pad_end[i]] for i in range(num_block_dims)], name="paddings") result_crops = stack([[0, pad_end_extra[i]] for i in range(num_block_dims)], name="crops") return result_paddings, result_crops @tf_export(v1=["nn.space_to_batch", "space_to_batch"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("space_to_batch") def space_to_batch( # pylint: disable=missing-docstring input, # pylint: disable=redefined-builtin paddings, block_size=None, name=None, block_shape=None): # pylint: disable=redefined-builtin block_size = deprecation.deprecated_argument_lookup("block_shape", block_shape, "block_size", block_size) result = space_to_batch_nd( input, paddings=paddings, block_shape=np.array([block_size, block_size], dtype=np.int64), name=name) result.set_shape(result.get_shape().with_rank(4)) return result space_to_batch.__doc__ = gen_array_ops.space_to_batch.__doc__ @tf_export("space_to_batch", "nn.space_to_batch", v1=[]) @dispatch.add_dispatch_support def space_to_batch_v2(input, block_shape, paddings, name=None): # pylint: disable=redefined-builtin return space_to_batch_nd(input, block_shape, paddings, name) space_to_batch_v2.__doc__ = gen_array_ops.space_to_batch_nd.__doc__ @tf_export(v1=["nn.space_to_depth", "space_to_depth"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("space_to_depth") def space_to_depth(input, block_size, name=None, data_format="NHWC"): # pylint: disable=redefined-builtin return gen_array_ops.space_to_depth(input, block_size, data_format, name=name) space_to_depth.__doc__ = gen_array_ops.space_to_depth.__doc__ @tf_export("nn.space_to_depth", v1=[]) @dispatch.add_dispatch_support def space_to_depth_v2(input, block_size, data_format="NHWC", name=None): # pylint: disable=redefined-builtin return gen_array_ops.space_to_depth(input, block_size, data_format, name=name) space_to_depth_v2.__doc__ = gen_array_ops.space_to_depth.__doc__ @tf_export(v1=["nn.depth_to_space", "depth_to_space"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("depth_to_space") def depth_to_space(input, block_size, name=None, data_format="NHWC"): # pylint: disable=redefined-builtin return gen_array_ops.depth_to_space(input, block_size, data_format, name=name) depth_to_space.__doc__ = gen_array_ops.depth_to_space.__doc__ @tf_export("nn.depth_to_space", v1=[]) @dispatch.add_dispatch_support def depth_to_space_v2(input, block_size, data_format="NHWC", name=None): # pylint: disable=redefined-builtin return gen_array_ops.depth_to_space(input, block_size, data_format, name=name) depth_to_space_v2.__doc__ = gen_array_ops.depth_to_space.__doc__ @tf_export(v1=["batch_to_space"]) @dispatch.add_dispatch_support def batch_to_space(input, crops, block_size, name=None, block_shape=None): # pylint: disable=redefined-builtin,missing-docstring block_size = deprecation.deprecated_argument_lookup("block_shape", block_shape, "block_size", block_size) result = batch_to_space_nd( input, crops=crops, block_shape=np.array([block_size, block_size], dtype=np.int64), name=name) result.set_shape(result.get_shape().with_rank(4)) return result batch_to_space.__doc__ = gen_array_ops.batch_to_space.__doc__ @tf_export("batch_to_space", v1=[]) @dispatch.add_dispatch_support def batch_to_space_v2(input, block_shape, crops, name=None): # pylint: disable=redefined-builtin """BatchToSpace for N-D tensors of type T. This operation reshapes the "batch" dimension 0 into `M + 1` dimensions of shape `block_shape + [batch]`, interleaves these blocks back into the grid defined by the spatial dimensions `[1, ..., M]`, to obtain a result with the same rank as the input. The spatial dimensions of this intermediate result are then optionally cropped according to `crops` to produce the output. This is the reverse of SpaceToBatch (see `tf.space_to_batch`). Args: input: A N-D `Tensor` with shape `input_shape = [batch] + spatial_shape + remaining_shape`, where `spatial_shape` has M dimensions. block_shape: A 1-D `Tensor` with shape [M]. Must be one of the following types: `int32`, `int64`. All values must be >= 1. For backwards compatibility with TF 1.0, this parameter may be an int, in which case it is converted to `numpy.array([block_shape, block_shape], dtype=numpy.int64)`. crops: A 2-D `Tensor` with shape `[M, 2]`. Must be one of the following types: `int32`, `int64`. All values must be >= 0. `crops[i] = [crop_start, crop_end]` specifies the amount to crop from input dimension `i + 1`, which corresponds to spatial dimension `i`. It is required that `crop_start[i] + crop_end[i] <= block_shape[i] * input_shape[i + 1]`. This operation is equivalent to the following steps: 1. Reshape `input` to `reshaped` of shape: [block_shape[0], ..., block_shape[M-1], batch / prod(block_shape), input_shape[1], ..., input_shape[N-1]] 2. Permute dimensions of `reshaped` to produce `permuted` of shape [batch / prod(block_shape), input_shape[1], block_shape[0], ..., input_shape[M], block_shape[M-1], input_shape[M+1], ..., input_shape[N-1]] 3. Reshape `permuted` to produce `reshaped_permuted` of shape [batch / prod(block_shape), input_shape[1] * block_shape[0], ..., input_shape[M] * block_shape[M-1], input_shape[M+1], ..., input_shape[N-1]] 4. Crop the start and end of dimensions `[1, ..., M]` of `reshaped_permuted` according to `crops` to produce the output of shape: [batch / prod(block_shape), input_shape[1] * block_shape[0] - crops[0,0] - crops[0,1], ..., input_shape[M] * block_shape[M-1] - crops[M-1,0] - crops[M-1,1], input_shape[M+1], ..., input_shape[N-1]] name: A name for the operation (optional). Examples: 1. For the following input of shape `[4, 1, 1, 1]`, `block_shape = [2, 2]`, and `crops = [[0, 0], [0, 0]]`: ```python [[[[1]]], [[[2]]], [[[3]]], [[[4]]]] ``` The output tensor has shape `[1, 2, 2, 1]` and value: ``` x = [[[[1], [2]], [[3], [4]]]] ``` 2. For the following input of shape `[4, 1, 1, 3]`, `block_shape = [2, 2]`, and `crops = [[0, 0], [0, 0]]`: ```python [[[1, 2, 3]], [[4, 5, 6]], [[7, 8, 9]], [[10, 11, 12]]] ``` The output tensor has shape `[1, 2, 2, 3]` and value: ```python x = [[[[1, 2, 3], [4, 5, 6 ]], [[7, 8, 9], [10, 11, 12]]]] ``` 3. For the following input of shape `[4, 2, 2, 1]`, `block_shape = [2, 2]`, and `crops = [[0, 0], [0, 0]]`: ```python x = [[[[1], [3]], [[ 9], [11]]], [[[2], [4]], [[10], [12]]], [[[5], [7]], [[13], [15]]], [[[6], [8]], [[14], [16]]]] ``` The output tensor has shape `[1, 4, 4, 1]` and value: ```python x = [[[1], [2], [ 3], [ 4]], [[5], [6], [ 7], [ 8]], [[9], [10], [11], [12]], [[13], [14], [15], [16]]] ``` 4. For the following input of shape `[8, 1, 3, 1]`, `block_shape = [2, 2]`, and `crops = [[0, 0], [2, 0]]`: ```python x = [[[[0], [ 1], [ 3]]], [[[0], [ 9], [11]]], [[[0], [ 2], [ 4]]], [[[0], [10], [12]]], [[[0], [ 5], [ 7]]], [[[0], [13], [15]]], [[[0], [ 6], [ 8]]], [[[0], [14], [16]]]] ``` The output tensor has shape `[2, 2, 4, 1]` and value: ```python x = [[[[ 1], [ 2], [ 3], [ 4]], [[ 5], [ 6], [ 7], [ 8]]], [[[ 9], [10], [11], [12]], [[13], [14], [15], [16]]]] ``` Returns: A `Tensor`. Has the same type as `input`. """ if isinstance(block_shape, int): block_shape = np.array([block_shape, block_shape], dtype=np.int64) return batch_to_space_nd( input=input, block_shape=block_shape, crops=crops, name=name) @tf_export("one_hot") @dispatch.add_dispatch_support def one_hot(indices, depth, on_value=None, off_value=None, axis=None, dtype=None, name=None): """Returns a one-hot tensor. See also `tf.fill`, `tf.eye`. The locations represented by indices in `indices` take value `on_value`, while all other locations take value `off_value`. `on_value` and `off_value` must have matching data types. If `dtype` is also provided, they must be the same data type as specified by `dtype`. If `on_value` is not provided, it will default to the value `1` with type `dtype` If `off_value` is not provided, it will default to the value `0` with type `dtype` If the input `indices` is rank `N`, the output will have rank `N+1`. The new axis is created at dimension `axis` (default: the new axis is appended at the end). If `indices` is a scalar the output shape will be a vector of length `depth` If `indices` is a vector of length `features`, the output shape will be: ``` features x depth if axis == -1 depth x features if axis == 0 ``` If `indices` is a matrix (batch) with shape `[batch, features]`, the output shape will be: ``` batch x features x depth if axis == -1 batch x depth x features if axis == 1 depth x batch x features if axis == 0 ``` If `indices` is a RaggedTensor, the 'axis' argument must be positive and refer to a non-ragged axis. The output will be equivalent to applying 'one_hot' on the values of the RaggedTensor, and creating a new RaggedTensor from the result. If `dtype` is not provided, it will attempt to assume the data type of `on_value` or `off_value`, if one or both are passed in. If none of `on_value`, `off_value`, or `dtype` are provided, `dtype` will default to the value `tf.float32`. Note: If a non-numeric data type output is desired (`tf.string`, `tf.bool`, etc.), both `on_value` and `off_value` _must_ be provided to `one_hot`. For example: ```python indices = [0, 1, 2] depth = 3 tf.one_hot(indices, depth) # output: [3 x 3] # [[1., 0., 0.], # [0., 1., 0.], # [0., 0., 1.]] indices = [0, 2, -1, 1] depth = 3 tf.one_hot(indices, depth, on_value=5.0, off_value=0.0, axis=-1) # output: [4 x 3] # [[5.0, 0.0, 0.0], # one_hot(0) # [0.0, 0.0, 5.0], # one_hot(2) # [0.0, 0.0, 0.0], # one_hot(-1) # [0.0, 5.0, 0.0]] # one_hot(1) indices = [[0, 2], [1, -1]] depth = 3 tf.one_hot(indices, depth, on_value=1.0, off_value=0.0, axis=-1) # output: [2 x 2 x 3] # [[[1.0, 0.0, 0.0], # one_hot(0) # [0.0, 0.0, 1.0]], # one_hot(2) # [[0.0, 1.0, 0.0], # one_hot(1) # [0.0, 0.0, 0.0]]] # one_hot(-1) indices = tf.ragged.constant([[0, 1], [2]]) depth = 3 tf.one_hot(indices, depth) # output: [2 x None x 3] # [[[1., 0., 0.], # [0., 1., 0.]], # [[0., 0., 1.]]] ``` Args: indices: A `Tensor` of indices. depth: A scalar defining the depth of the one hot dimension. on_value: A scalar defining the value to fill in output when `indices[j] = i`. (default: 1) off_value: A scalar defining the value to fill in output when `indices[j] != i`. (default: 0) axis: The axis to fill (default: -1, a new inner-most axis). dtype: The data type of the output tensor. name: A name for the operation (optional). Returns: output: The one-hot tensor. Raises: TypeError: If dtype of either `on_value` or `off_value` don't match `dtype` TypeError: If dtype of `on_value` and `off_value` don't match one another """ with ops.name_scope( name, "one_hot", [indices, depth, on_value, off_value, axis, dtype]) as name: on_exists = on_value is not None off_exists = off_value is not None if on_exists: on_value = ops.convert_to_tensor(on_value, dtype_hint=dtype) if off_exists: off_value = ops.convert_to_tensor(off_value, dtype_hint=dtype) on_dtype = on_value.dtype.base_dtype if on_exists else None off_dtype = off_value.dtype.base_dtype if off_exists else None if on_exists or off_exists: if dtype is not None: # Ensure provided on_value and/or off_value match dtype if on_exists and on_dtype != dtype: raise TypeError("dtype {0} of on_value does not match " "dtype parameter {1}".format(on_dtype, dtype)) if off_exists and off_dtype != dtype: raise TypeError("dtype {0} of off_value does not match " "dtype parameter {1}".format(off_dtype, dtype)) else: # dtype not provided: automatically assign it dtype = on_dtype if on_exists else off_dtype elif dtype is None: # None of on_value, off_value, or dtype provided. Default dtype to float32 dtype = dtypes.float32 if not on_exists: # on_value not provided: assign to value 1 of type dtype on_value = ops.convert_to_tensor(1, dtype, name="on_value") on_dtype = dtype if not off_exists: # off_value not provided: assign to value 0 of type dtype off_value = ops.convert_to_tensor(0, dtype, name="off_value") off_dtype = dtype if on_dtype != off_dtype: raise TypeError("dtype {0} of on_value does not match " "dtype {1} of off_value".format(on_dtype, off_dtype)) return gen_array_ops.one_hot(indices, depth, on_value, off_value, axis, name) def _all_dimensions(x): """Returns a 1D-tensor listing all dimensions in x.""" # Fast path: avoid creating Rank and Range ops if ndims is known. if isinstance(x, ops.Tensor) and x.get_shape().ndims is not None: return constant_op.constant( np.arange(x.get_shape().ndims), dtype=dtypes.int32) if (isinstance(x, sparse_tensor.SparseTensor) and x.dense_shape.get_shape().is_fully_defined()): r = x.dense_shape.get_shape().dims[0].value # sparse.dense_shape is 1-D. return constant_op.constant(np.arange(r), dtype=dtypes.int32) # Otherwise, we rely on `range` and `rank` to do the right thing at runtime. return gen_math_ops._range(0, rank(x), 1) @tf_export("sequence_mask") @dispatch.add_dispatch_support def sequence_mask(lengths, maxlen=None, dtype=dtypes.bool, name=None): """Returns a mask tensor representing the first N positions of each cell. If `lengths` has shape `[d_1, d_2, ..., d_n]` the resulting tensor `mask` has dtype `dtype` and shape `[d_1, d_2, ..., d_n, maxlen]`, with ``` mask[i_1, i_2, ..., i_n, j] = (j < lengths[i_1, i_2, ..., i_n]) ``` Examples: ```python tf.sequence_mask([1, 3, 2], 5) # [[True, False, False, False, False], # [True, True, True, False, False], # [True, True, False, False, False]] tf.sequence_mask([[1, 3],[2,0]]) # [[[True, False, False], # [True, True, True]], # [[True, True, False], # [False, False, False]]] ``` Args: lengths: integer tensor, all its values <= maxlen. maxlen: scalar integer tensor, size of last dimension of returned tensor. Default is the maximum value in `lengths`. dtype: output type of the resulting tensor. name: name of the op. Returns: A mask tensor of shape `lengths.shape + (maxlen,)`, cast to specified dtype. Raises: ValueError: if `maxlen` is not a scalar. """ with ops.name_scope(name, "SequenceMask", [lengths, maxlen]): lengths = ops.convert_to_tensor(lengths) if maxlen is None: maxlen = gen_math_ops._max(lengths, _all_dimensions(lengths)) maxlen = gen_math_ops.maximum(constant(0, maxlen.dtype), maxlen) else: maxlen = ops.convert_to_tensor(maxlen) if maxlen.get_shape().ndims is not None and maxlen.get_shape().ndims != 0: raise ValueError("maxlen must be scalar for sequence_mask") # The basic idea is to compare a range row vector of size maxlen: # [0, 1, 2, 3, 4] # to length as a matrix with 1 column: [[1], [3], [2]]. # Because of broadcasting on both arguments this comparison results # in a matrix of size (len(lengths), maxlen) row_vector = gen_math_ops._range( constant(0, maxlen.dtype), maxlen, constant(1, maxlen.dtype)) # Since maxlen >= max(lengths), it is safe to use maxlen as a cast # authoritative type. Whenever maxlen fits into tf.int32, so do the lengths. matrix = gen_math_ops.cast(expand_dims(lengths, -1), maxlen.dtype) result = row_vector < matrix if dtype is None or result.dtype.is_compatible_with(dtype): return result else: return gen_math_ops.cast(result, dtype) @tf_export(v1=["squeeze"]) @dispatch.add_dispatch_support @deprecation.deprecated_args(None, "Use the `axis` argument instead", "squeeze_dims") def squeeze(input, axis=None, name=None, squeeze_dims=None): # pylint: disable=redefined-builtin """Removes dimensions of size 1 from the shape of a tensor. Given a tensor `input`, this operation returns a tensor of the same type with all dimensions of size 1 removed. If you don't want to remove all size 1 dimensions, you can remove specific size 1 dimensions by specifying `axis`. For example: >>> # 't' is a tensor of shape [1, 2, 1, 3, 1, 1] >>> t = tf.ones([1, 2, 1, 3, 1, 1]) >>> print(tf.shape(tf.squeeze(t)).numpy()) [2 3] Or, to remove specific size 1 dimensions: >>> # 't' is a tensor of shape [1, 2, 1, 3, 1, 1] >>> t = tf.ones([1, 2, 1, 3, 1, 1]) >>> print(tf.shape(tf.squeeze(t, [2, 4])).numpy()) [1 2 3 1] Note: if `input` is a `tf.RaggedTensor`, then this operation takes `O(N)` time, where `N` is the number of elements in the squeezed dimensions. Args: input: A `Tensor`. The `input` to squeeze. axis: An optional list of `ints`. Defaults to `[]`. If specified, only squeezes the dimensions listed. The dimension index starts at 0. It is an error to squeeze a dimension that is not 1. Must be in the range `[-rank(input), rank(input))`. Must be specified if `input` is a `RaggedTensor`. name: A name for the operation (optional). squeeze_dims: Deprecated keyword argument that is now axis. Returns: A `Tensor`. Has the same type as `input`. Contains the same data as `input`, but has one or more dimensions of size 1 removed. Raises: ValueError: When both `squeeze_dims` and `axis` are specified. """ axis = deprecation.deprecated_argument_lookup("axis", axis, "squeeze_dims", squeeze_dims) if np.isscalar(axis): axis = [axis] return gen_array_ops.squeeze(input, axis, name) @tf_export("squeeze", v1=[]) @dispatch.add_dispatch_support def squeeze_v2(input, axis=None, name=None): """Removes dimensions of size 1 from the shape of a tensor. Given a tensor `input`, this operation returns a tensor of the same type with all dimensions of size 1 removed. If you don't want to remove all size 1 dimensions, you can remove specific size 1 dimensions by specifying `axis`. For example: ```python # 't' is a tensor of shape [1, 2, 1, 3, 1, 1] tf.shape(tf.squeeze(t)) # [2, 3] ``` Or, to remove specific size 1 dimensions: ```python # 't' is a tensor of shape [1, 2, 1, 3, 1, 1] tf.shape(tf.squeeze(t, [2, 4])) # [1, 2, 3, 1] ``` Unlike the older op `tf.compat.v1.squeeze`, this op does not accept a deprecated `squeeze_dims` argument. Note: if `input` is a `tf.RaggedTensor`, then this operation takes `O(N)` time, where `N` is the number of elements in the squeezed dimensions. Args: input: A `Tensor`. The `input` to squeeze. axis: An optional list of `ints`. Defaults to `[]`. If specified, only squeezes the dimensions listed. The dimension index starts at 0. It is an error to squeeze a dimension that is not 1. Must be in the range `[-rank(input), rank(input))`. Must be specified if `input` is a `RaggedTensor`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. Contains the same data as `input`, but has one or more dimensions of size 1 removed. Raises: ValueError: The input cannot be converted to a tensor, or the specified axis cannot be squeezed. """ # pylint: disable=redefined-builtin return squeeze(input, axis, name) @tf_export(v1=["where"]) @dispatch.add_dispatch_support def where(condition, x=None, y=None, name=None): """Return the elements, either from `x` or `y`, depending on the `condition`. If both `x` and `y` are None, then this operation returns the coordinates of true elements of `condition`. The coordinates are returned in a 2-D tensor where the first dimension (rows) represents the number of true elements, and the second dimension (columns) represents the coordinates of the true elements. Keep in mind, the shape of the output tensor can vary depending on how many true values there are in input. Indices are output in row-major order. If both non-None, `x` and `y` must have the same shape. The `condition` tensor must be a scalar if `x` and `y` are scalar. If `x` and `y` are tensors of higher rank, then `condition` must be either a vector with size matching the first dimension of `x`, or must have the same shape as `x`. The `condition` tensor acts as a mask that chooses, based on the value at each element, whether the corresponding element / row in the output should be taken from `x` (if true) or `y` (if false). If `condition` is a vector and `x` and `y` are higher rank matrices, then it chooses which row (outer dimension) to copy from `x` and `y`. If `condition` has the same shape as `x` and `y`, then it chooses which element to copy from `x` and `y`. Args: condition: A `Tensor` of type `bool` x: A Tensor which may have the same shape as `condition`. If `condition` is rank 1, `x` may have higher rank, but its first dimension must match the size of `condition`. y: A `tensor` with the same shape and type as `x`. name: A name of the operation (optional) Returns: A `Tensor` with the same type and shape as `x`, `y` if they are non-None. Otherwise, a `Tensor` with shape `(num_true, rank(condition))`. Raises: ValueError: When exactly one of `x` or `y` is non-None. """ if x is None and y is None: with ops.name_scope(name, "Where", [condition]) as name: condition = ops.convert_to_tensor( condition, preferred_dtype=dtypes.bool, name="condition") return gen_array_ops.where(condition=condition, name=name) elif x is not None and y is not None: return gen_math_ops.select(condition=condition, x=x, y=y, name=name) else: raise ValueError("x and y must both be non-None or both be None.") @tf_export("where", v1=["where_v2"]) @dispatch.add_dispatch_support def where_v2(condition, x=None, y=None, name=None): """Return the elements where `condition` is `True` (multiplexing `x` and `y`). This operator has two modes: in one mode both `x` and `y` are provided, in another mode neither are provided. `condition` is always expected to be a `tf.Tensor` of type `bool`. #### Retrieving indices of `True` elements If `x` and `y` are not provided (both are None): `tf.where` will return the indices of `condition` that are `True`, in the form of a 2-D tensor with shape (n, d). (Where n is the number of matching indices in `condition`, and d is the number of dimensions in `condition`). Indices are output in row-major order. >>> tf.where([True, False, False, True]) <tf.Tensor: shape=(2, 1), dtype=int64, numpy= array([[0], [3]])> >>> tf.where([[True, False], [False, True]]) <tf.Tensor: shape=(2, 2), dtype=int64, numpy= array([[0, 0], [1, 1]])> >>> tf.where([[[True, False], [False, True], [True, True]]]) <tf.Tensor: shape=(4, 3), dtype=int64, numpy= array([[0, 0, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1]])> #### Multiplexing between `x` and `y` If `x` and `y` are provided (both have non-None values): `tf.where` will choose an output shape from the shapes of `condition`, `x`, and `y` that all three shapes are [broadcastable](https://docs.scipy.org/doc/numpy/reference/ufuncs.html) to. The `condition` tensor acts as a mask that chooses whether the corresponding element / row in the output should be taken from `x` (if the element in `condition` is True) or `y` (if it is false). >>> tf.where([True, False, False, True], [1,2,3,4], [100,200,300,400]) <tf.Tensor: shape=(4,), dtype=int32, numpy=array([ 1, 200, 300, 4], dtype=int32)> >>> tf.where([True, False, False, True], [1,2,3,4], [100]) <tf.Tensor: shape=(4,), dtype=int32, numpy=array([ 1, 100, 100, 4], dtype=int32)> >>> tf.where([True, False, False, True], [1,2,3,4], 100) <tf.Tensor: shape=(4,), dtype=int32, numpy=array([ 1, 100, 100, 4], dtype=int32)> >>> tf.where([True, False, False, True], 1, 100) <tf.Tensor: shape=(4,), dtype=int32, numpy=array([ 1, 100, 100, 1], dtype=int32)> >>> tf.where(True, [1,2,3,4], 100) <tf.Tensor: shape=(4,), dtype=int32, numpy=array([1, 2, 3, 4], dtype=int32)> >>> tf.where(False, [1,2,3,4], 100) <tf.Tensor: shape=(4,), dtype=int32, numpy=array([100, 100, 100, 100], dtype=int32)> Note that if the gradient of either branch of the tf.where generates a NaN, then the gradient of the entire tf.where will be NaN. A workaround is to use an inner tf.where to ensure the function has no asymptote, and to avoid computing a value whose gradient is NaN by replacing dangerous inputs with safe inputs. Instead of this, >>> y = tf.constant(-1, dtype=tf.float32) >>> tf.where(y > 0, tf.sqrt(y), y) <tf.Tensor: shape=(), dtype=float32, numpy=-1.0> Use this >>> tf.where(y > 0, tf.sqrt(tf.where(y > 0, y, 1)), y) <tf.Tensor: shape=(), dtype=float32, numpy=-1.0> Args: condition: A `tf.Tensor` of type `bool` x: If provided, a Tensor which is of the same type as `y`, and has a shape broadcastable with `condition` and `y`. y: If provided, a Tensor which is of the same type as `x`, and has a shape broadcastable with `condition` and `x`. name: A name of the operation (optional). Returns: If `x` and `y` are provided: A `Tensor` with the same type as `x` and `y`, and shape that is broadcast from `condition`, `x`, and `y`. Otherwise, a `Tensor` with shape `(num_true, dim_size(condition))`. Raises: ValueError: When exactly one of `x` or `y` is non-None, or the shapes are not all broadcastable. """ if x is None and y is None: with ops.name_scope(name, "Where", [condition]) as name: condition = ops.convert_to_tensor( condition, preferred_dtype=dtypes.bool, name="condition") return gen_array_ops.where(condition=condition, name=name) elif x is not None and y is not None: return gen_math_ops.select_v2(condition=condition, t=x, e=y, name=name) else: raise ValueError("x and y must both be non-None or both be None.") # pylint: disable=redefined-builtin @tf_export(v1=["reverse_sequence"]) @deprecation.deprecated_args(None, "seq_dim is deprecated, use seq_axis instead", "seq_dim") @deprecation.deprecated_args(None, "batch_dim is deprecated, use batch_axis instead", "batch_dim") def reverse_sequence(input, seq_lengths, seq_axis=None, batch_axis=None, name=None, seq_dim=None, batch_dim=None): """Reverses variable length slices. This op first slices `input` along the dimension `batch_axis`, and for each slice `i`, reverses the first `seq_lengths[i]` elements along the dimension `seq_axis`. The elements of `seq_lengths` must obey `seq_lengths[i] <= input.dims[seq_axis]`, and `seq_lengths` must be a vector of length `input.dims[batch_axis]`. The output slice `i` along dimension `batch_axis` is then given by input slice `i`, with the first `seq_lengths[i]` slices along dimension `seq_axis` reversed. Example usage: >>> seq_lengths = [7, 2, 3, 5] >>> input = [[1, 2, 3, 4, 5, 0, 0, 0], [1, 2, 0, 0, 0, 0, 0, 0], ... [1, 2, 3, 4, 0, 0, 0, 0], [1, 2, 3, 4, 5, 6, 7, 8]] >>> output = tf.reverse_sequence(input, seq_lengths, seq_axis=1, batch_axis=0) >>> output <tf.Tensor: shape=(4, 8), dtype=int32, numpy= array([[0, 0, 5, 4, 3, 2, 1, 0], [2, 1, 0, 0, 0, 0, 0, 0], [3, 2, 1, 4, 0, 0, 0, 0], [5, 4, 3, 2, 1, 6, 7, 8]], dtype=int32)> Args: input: A `Tensor`. The input to reverse. seq_lengths: A `Tensor`. Must be one of the following types: `int32`, `int64`. 1-D with length `input.dims(batch_axis)` and `max(seq_lengths) <= input.dims(seq_axis)` seq_axis: An `int`. The dimension which is partially reversed. batch_axis: An optional `int`. Defaults to `0`. The dimension along which reversal is performed. name: A name for the operation (optional). Returns: A Tensor. Has the same type as input. """ seq_axis = deprecation.deprecated_argument_lookup("seq_axis", seq_axis, "seq_dim", seq_dim) batch_axis = deprecation.deprecated_argument_lookup("batch_axis", batch_axis, "batch_dim", batch_dim) return gen_array_ops.reverse_sequence( input=input, seq_lengths=seq_lengths, seq_dim=seq_axis, batch_dim=batch_axis, name=name) @tf_export("reverse_sequence", v1=[]) @dispatch.add_dispatch_support def reverse_sequence_v2(input, seq_lengths, seq_axis=None, batch_axis=None, name=None): """Reverses variable length slices. This op first slices `input` along the dimension `batch_axis`, and for each slice `i`, reverses the first `seq_lengths[i]` elements along the dimension `seq_axis`. The elements of `seq_lengths` must obey `seq_lengths[i] <= input.dims[seq_axis]`, and `seq_lengths` must be a vector of length `input.dims[batch_axis]`. The output slice `i` along dimension `batch_axis` is then given by input slice `i`, with the first `seq_lengths[i]` slices along dimension `seq_axis` reversed. Example usage: >>> seq_lengths = [7, 2, 3, 5] >>> input = [[1, 2, 3, 4, 5, 0, 0, 0], [1, 2, 0, 0, 0, 0, 0, 0], ... [1, 2, 3, 4, 0, 0, 0, 0], [1, 2, 3, 4, 5, 6, 7, 8]] >>> output = tf.reverse_sequence(input, seq_lengths, seq_axis=1, batch_axis=0) >>> output <tf.Tensor: shape=(4, 8), dtype=int32, numpy= array([[0, 0, 5, 4, 3, 2, 1, 0], [2, 1, 0, 0, 0, 0, 0, 0], [3, 2, 1, 4, 0, 0, 0, 0], [5, 4, 3, 2, 1, 6, 7, 8]], dtype=int32)> Args: input: A `Tensor`. The input to reverse. seq_lengths: A `Tensor`. Must be one of the following types: `int32`, `int64`. 1-D with length `input.dims(batch_axis)` and `max(seq_lengths) <= input.dims(seq_axis)` seq_axis: An `int`. The dimension which is partially reversed. batch_axis: An optional `int`. Defaults to `0`. The dimension along which reversal is performed. name: A name for the operation (optional). Returns: A Tensor. Has the same type as input. """ return gen_array_ops.reverse_sequence( input=input, seq_lengths=seq_lengths, seq_dim=seq_axis, batch_dim=batch_axis, name=name) # pylint: enable=redefined-builtin @tf_export(v1=["gather"]) @deprecation.deprecated_args(None, ("The `validate_indices` argument has no effect. " "Indices are always validated on CPU and never " "validated on GPU."), "validate_indices") @dispatch.add_dispatch_support def gather(params, indices, validate_indices=None, name=None, axis=None, batch_dims=0): # pylint: disable=g-doc-args r"""Gather slices from params axis `axis` according to indices. Gather slices from `params` axis `axis` according to `indices`. `indices` must be an integer tensor of any dimension (often 1-D). `Tensor.__getitem__` works for scalars, `tf.newaxis`, and [python slices](https://numpy.org/doc/stable/reference/arrays.indexing.html#basic-slicing-and-indexing) `tf.gather` extends indexing to handle tensors of indices. In the simplest case it's identical to scalar indexing: >>> params = tf.constant(['p0', 'p1', 'p2', 'p3', 'p4', 'p5']) >>> params[3].numpy() b'p3' >>> tf.gather(params, 3).numpy() b'p3' The most common case is to pass a single axis tensor of indices (this can't be expressed as a python slice because the indices are not sequential): >>> indices = [2, 0, 2, 5] >>> tf.gather(params, indices).numpy() array([b'p2', b'p0', b'p2', b'p5'], dtype=object) <div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> <img style="width:100%" src="https://www.tensorflow.org/images/Gather.png" alt> </div> The indices can have any shape. When the `params` has 1 axis, the output shape is equal to the input shape: >>> tf.gather(params, [[2, 0], [2, 5]]).numpy() array([[b'p2', b'p0'], [b'p2', b'p5']], dtype=object) The `params` may also have any shape. `gather` can select slices across any axis depending on the `axis` argument (which defaults to 0). Below it is used to gather first rows, then columns from a matrix: >>> params = tf.constant([[0, 1.0, 2.0], ... [10.0, 11.0, 12.0], ... [20.0, 21.0, 22.0], ... [30.0, 31.0, 32.0]]) >>> tf.gather(params, indices=[3,1]).numpy() array([[30., 31., 32.], [10., 11., 12.]], dtype=float32) >>> tf.gather(params, indices=[2,1], axis=1).numpy() array([[ 2., 1.], [12., 11.], [22., 21.], [32., 31.]], dtype=float32) More generally: The output shape has the same shape as the input, with the indexed-axis replaced by the shape of the indices. >>> def result_shape(p_shape, i_shape, axis=0): ... return p_shape[:axis] + i_shape + p_shape[axis+1:] >>> >>> result_shape([1, 2, 3], [], axis=1) [1, 3] >>> result_shape([1, 2, 3], [7], axis=1) [1, 7, 3] >>> result_shape([1, 2, 3], [7, 5], axis=1) [1, 7, 5, 3] Here are some examples: >>> params.shape.as_list() [4, 3] >>> indices = tf.constant([[0, 2]]) >>> tf.gather(params, indices=indices, axis=0).shape.as_list() [1, 2, 3] >>> tf.gather(params, indices=indices, axis=1).shape.as_list() [4, 1, 2] >>> params = tf.random.normal(shape=(5, 6, 7, 8)) >>> indices = tf.random.uniform(shape=(10, 11), maxval=7, dtype=tf.int32) >>> result = tf.gather(params, indices, axis=2) >>> result.shape.as_list() [5, 6, 10, 11, 8] This is because each index takes a slice from `params`, and places it at the corresponding location in the output. For the above example >>> # For any location in indices >>> a, b = 0, 1 >>> tf.reduce_all( ... # the corresponding slice of the result ... result[:, :, a, b, :] == ... # is equal to the slice of `params` along `axis` at the index. ... params[:, :, indices[a, b], :] ... ).numpy() True ### Batching: The `batch_dims` argument lets you gather different items from each element of a batch. Using `batch_dims=1` is equivalent to having an outer loop over the first axis of `params` and `indices`: >>> params = tf.constant([ ... [0, 0, 1, 0, 2], ... [3, 0, 0, 0, 4], ... [0, 5, 0, 6, 0]]) >>> indices = tf.constant([ ... [2, 4], ... [0, 4], ... [1, 3]]) >>> tf.gather(params, indices, axis=1, batch_dims=1).numpy() array([[1, 2], [3, 4], [5, 6]], dtype=int32) This is is equivalent to: >>> def manually_batched_gather(params, indices, axis): ... batch_dims=1 ... result = [] ... for p,i in zip(params, indices): ... r = tf.gather(p, i, axis=axis-batch_dims) ... result.append(r) ... return tf.stack(result) >>> manually_batched_gather(params, indices, axis=1).numpy() array([[1, 2], [3, 4], [5, 6]], dtype=int32) Higher values of `batch_dims` are equivalent to multiple nested loops over the outer axes of `params` and `indices`. So the overall shape function is >>> def batched_result_shape(p_shape, i_shape, axis=0, batch_dims=0): ... return p_shape[:axis] + i_shape[batch_dims:] + p_shape[axis+1:] >>> >>> batched_result_shape( ... p_shape=params.shape.as_list(), ... i_shape=indices.shape.as_list(), ... axis=1, ... batch_dims=1) [3, 2] >>> tf.gather(params, indices, axis=1, batch_dims=1).shape.as_list() [3, 2] This comes up naturally if you need to use the indices of an operation like `tf.argsort`, or `tf.math.top_k` where the last dimension of the indices indexes into the last dimension of input, at the corresponding location. In this case you can use `tf.gather(values, indices, batch_dims=-1)`. See also: * `tf.Tensor.__getitem__`: The direct tensor index operation (`t[]`), handles scalars and python-slices `tensor[..., 7, 1:-1]` * `tf.scatter`: A collection of operations similar to `__setitem__` (`t[i] = x`) * `tf.gather_nd`: An operation similar to `tf.gather` but gathers across multiple axis at once (it can gather elements of a matrix instead of rows or columns) * `tf.boolean_mask`, `tf.where`: Binary indexing. * `tf.slice` and `tf.strided_slice`: For lower level access to the implementation of `__getitem__`'s python-slice handling (`t[1:-1:2]`) Args: params: The `Tensor` from which to gather values. Must be at least rank `axis + 1`. indices: The index `Tensor`. Must be one of the following types: `int32`, `int64`. The values must be in range `[0, params.shape[axis])`. validate_indices: Deprecated, does nothing. Indices are always validated on CPU, never validated on GPU. Caution: On CPU, if an out of bound index is found, an error is raised. On GPU, if an out of bound index is found, a 0 is stored in the corresponding output value. axis: A `Tensor`. Must be one of the following types: `int32`, `int64`. The `axis` in `params` to gather `indices` from. Must be greater than or equal to `batch_dims`. Defaults to the first non-batch dimension. Supports negative indexes. batch_dims: An `integer`. The number of batch dimensions. Must be less than or equal to `rank(indices)`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `params`. """ del validate_indices if axis is None: axis = batch_dims if tensor_util.constant_value(axis) != 0: return gen_array_ops.gather_v2( params, indices, axis, batch_dims=batch_dims, name=name) try: # TODO(apassos) find a less bad way of detecting resource variables # without introducing a circular dependency. return params.sparse_read(indices, name=name) except AttributeError: return gen_array_ops.gather_v2(params, indices, axis, name=name) @tf_export("gather", v1=[]) @dispatch.add_dispatch_support def gather_v2(params, indices, validate_indices=None, axis=None, batch_dims=0, name=None): return gather( params, indices, validate_indices=validate_indices, name=name, axis=axis, batch_dims=batch_dims) gather_v2.__doc__ = gather.__doc__ @tf_export(v1=["batch_gather"]) @dispatch.add_dispatch_support @deprecation.deprecated( "2017-10-25", "`tf.batch_gather` is deprecated, please use `tf.gather` " "with `batch_dims=-1` instead.") # pylint: disable=missing-docstring def batch_gather(params, indices, name=None): """Gather slices from params according to indices with leading batch dims.""" with ops.name_scope(name, "BatchGather", [params, indices]): indices = ops.convert_to_tensor(indices, name="indices") params = ops.convert_to_tensor(params, name="params") if indices.shape.ndims is None: raise ValueError( "batch_gather does not allow indices with unknown shape.") return _batch_gather(params, indices, batch_dims=indices.shape.ndims - 1) def _batch_gather(params, indices, batch_dims, axis=None): r"""Gather slices from params according to indices with leading batch dims. This operation assumes that the leading `batch_dims` dimensions of `indices` and `params` are batch dimensions; and performs a `tf.gather` operation within each batch. (If `batch_dims` is not specified, then it defaults to `rank(indices)-1`.) In the case in which `batch_dims==0`, this operation is equivalent to `tf.gather`. Args: params: A Tensor. The tensor from which to gather values. indices: A Tensor. Must be one of the following types: int32, int64. Index tensor. Must be in range `[0, params.shape[batch_dims]]`. batch_dims: An integer or none. The number of batch dimensions. Must be less than `rank(indices)`. Defaults to `rank(indices) - 1` if None. axis: A `Tensor`. Must be one of the following types: `int32`, `int64`. The `axis` in `params` to gather `indices` from. Must be greater than or equal to `batch_dims`. Defaults to the first non-batch dimension. Supports negative indexes. Returns: A Tensor. Has the same type as `params`. Raises: ValueError: if `indices` has an unknown shape. """ if batch_dims is not None and not isinstance(batch_dims, int): raise TypeError("batch_dims must be an int; got %r" % (batch_dims,)) indices = ops.convert_to_tensor(indices, name="indices") params = ops.convert_to_tensor(params, name="params") indices_ndims = indices.shape.ndims if indices_ndims is None: raise ValueError("tf.gather does not allow indices with unknown " "rank when batch_dims is specified.") if batch_dims is None: batch_dims = indices_ndims - 1 if batch_dims < 0: batch_dims += indices_ndims if batch_dims < 0 or batch_dims >= indices_ndims: raise ValueError("batch_dims = %d must be less than rank(indices) = %d" % (batch_dims, indices_ndims)) if params.shape.ndims is not None and batch_dims >= params.shape.ndims: raise ValueError("batch_dims = %d must be less than rank(params) = %d" % (batch_dims, params.shape.ndims)) # Handle axis by transposing the axis dimension to be the first non-batch # dimension, recursively calling batch_gather with axis=0, and then # transposing the result to put the pre-axis dimensions before the indices # dimensions. if axis is not None and axis != batch_dims: # Adjust axis to be positive. if not isinstance(axis, int): axis = tf.where(axis < 0, axis + array_ops.rank(params), axis) elif axis < 0 and params.shape.ndims is None: axis = axis + array_ops.rank(params) else: if (axis < -params.shape.ndims) or (axis >= params.shape.ndims): raise ValueError("axis (%d) out of range [%d, %d)" % (axis, -params.shape.ndims, params.shape.ndims)) if axis < 0: axis += params.shape.ndims if axis < batch_dims: raise ValueError("batch_dims = %d must be less than or equal to " "axis = %d" % (batch_dims, axis)) # Move params[axis] up to params[batch_dims]. perm = [ list(range(batch_dims)), [axis], gen_math_ops._range(batch_dims, axis, 1), gen_math_ops._range(axis + 1, rank(params), 1) ] params = transpose(params, concat(perm, axis=0)) result = _batch_gather(params, indices, batch_dims=batch_dims) # Move the result dimensions corresponding to params[batch_dims:axis] # to just before the dimensions corresponding to indices[batch_dims:]. params_start = indices_ndims + axis - batch_dims perm = [ list(range(batch_dims)), gen_math_ops._range(indices_ndims, params_start, 1), list(range(batch_dims, indices_ndims)), gen_math_ops._range(params_start, rank(result), 1) ] return transpose(result, perm=concat(perm, axis=0)) indices_shape = shape(indices) params_shape = shape(params) batch_indices = indices indices_dtype = indices.dtype.base_dtype accum_dim_value = ones((), dtype=indices_dtype) # Use correct type for offset index computation casted_params_shape = gen_math_ops.cast(params_shape, indices_dtype) for dim in range(batch_dims, 0, -1): dim_value = casted_params_shape[dim - 1] accum_dim_value *= casted_params_shape[dim] start = zeros((), dtype=indices_dtype) step = ones((), dtype=indices_dtype) dim_indices = gen_math_ops._range(start, dim_value, step) dim_indices *= accum_dim_value dim_shape = stack( [1] * (dim - 1) + [dim_value] + [1] * (indices_ndims - dim), axis=0) batch_indices += reshape(dim_indices, dim_shape) flat_indices = reshape(batch_indices, [-1]) outer_shape = params_shape[batch_dims + 1:] flat_inner_shape = gen_math_ops.prod(params_shape[:batch_dims + 1], [0], False) flat_params = reshape(params, concat([[flat_inner_shape], outer_shape], axis=0)) flat_result = gather(flat_params, flat_indices) result = reshape(flat_result, concat([indices_shape, outer_shape], axis=0)) final_shape = indices.get_shape()[:batch_dims].merge_with( params.get_shape()[:batch_dims]) final_shape = final_shape.concatenate(indices.get_shape().dims[batch_dims:]) final_shape = final_shape.concatenate(params.get_shape()[batch_dims + 1:]) result.set_shape(final_shape) return result @tf_export(v1=["gather_nd", "manip.gather_nd"]) @dispatch.add_dispatch_support @deprecated_endpoints("manip.gather_nd") def gather_nd(params, indices, name=None, batch_dims=0): r"""Gather slices from `params` into a Tensor with shape specified by `indices`. `indices` is an K-dimensional integer tensor, best thought of as a (K-1)-dimensional tensor of indices into `params`, where each element defines a slice of `params`: output[\$i_0, ..., i_{K-2}\$] = params[indices[\$i_0, ..., i_{K-2}\$]] Whereas in `tf.gather` `indices` defines slices into the first dimension of `params`, in `tf.gather_nd`, `indices` defines slices into the first `N` dimensions of `params`, where `N = indices.shape[-1]`. The last dimension of `indices` can be at most the rank of `params`: indices.shape[-1] <= params.rank The last dimension of `indices` corresponds to elements (if `indices.shape[-1] == params.rank`) or slices (if `indices.shape[-1] < params.rank`) along dimension `indices.shape[-1]` of `params`. The output tensor has shape indices.shape[:-1] + params.shape[indices.shape[-1]:] Additionally both 'params' and 'indices' can have M leading batch dimensions that exactly match. In this case 'batch_dims' must be M. Note that on CPU, if an out of bound index is found, an error is returned. On GPU, if an out of bound index is found, a 0 is stored in the corresponding output value. Some examples below. Simple indexing into a matrix: ```python indices = [[0, 0], [1, 1]] params = [['a', 'b'], ['c', 'd']] output = ['a', 'd'] ``` Slice indexing into a matrix: ```python indices = [[1], [0]] params = [['a', 'b'], ['c', 'd']] output = [['c', 'd'], ['a', 'b']] ``` Indexing into a 3-tensor: ```python indices = [[1]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [[['a1', 'b1'], ['c1', 'd1']]] indices = [[0, 1], [1, 0]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [['c0', 'd0'], ['a1', 'b1']] indices = [[0, 0, 1], [1, 0, 1]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = ['b0', 'b1'] ``` The examples below are for the case when only indices have leading extra dimensions. If both 'params' and 'indices' have leading batch dimensions, use the 'batch_dims' parameter to run gather_nd in batch mode. Batched indexing into a matrix: ```python indices = [[[0, 0]], [[0, 1]]] params = [['a', 'b'], ['c', 'd']] output = [['a'], ['b']] ``` Batched slice indexing into a matrix: ```python indices = [[[1]], [[0]]] params = [['a', 'b'], ['c', 'd']] output = [[['c', 'd']], [['a', 'b']]] ``` Batched indexing into a 3-tensor: ```python indices = [[[1]], [[0]]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [[[['a1', 'b1'], ['c1', 'd1']]], [[['a0', 'b0'], ['c0', 'd0']]]] indices = [[[0, 1], [1, 0]], [[0, 0], [1, 1]]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [[['c0', 'd0'], ['a1', 'b1']], [['a0', 'b0'], ['c1', 'd1']]] indices = [[[0, 0, 1], [1, 0, 1]], [[0, 1, 1], [1, 1, 0]]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [['b0', 'b1'], ['d0', 'c1']] ``` Examples with batched 'params' and 'indices': ```python batch_dims = 1 indices = [[1], [0]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [['c0', 'd0'], ['a1', 'b1']] batch_dims = 1 indices = [[[1]], [[0]]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [[['c0', 'd0']], [['a1', 'b1']]] batch_dims = 1 indices = [[[1, 0]], [[0, 1]]] params = [[['a0', 'b0'], ['c0', 'd0']], [['a1', 'b1'], ['c1', 'd1']]] output = [['c0'], ['b1']] ``` See also `tf.gather`. Args: params: A `Tensor`. The tensor from which to gather values. indices: A `Tensor`. Must be one of the following types: `int32`, `int64`. Index tensor. name: A name for the operation (optional). batch_dims: An integer or a scalar 'Tensor'. The number of batch dimensions. Returns: A `Tensor`. Has the same type as `params`. """ batch_dims_ = tensor_util.constant_value(batch_dims) if batch_dims_ is not None: batch_dims = int(batch_dims_) if batch_dims == 0: try: # TODO(apassos) find a less bad way of detecting resource variables # without introducing a circular dependency. return params.gather_nd(indices, name=name) except AttributeError: return gen_array_ops.gather_nd(params, indices, name=name) else: return batch_gather_nd(params, indices, batch_dims=batch_dims, name=name) @tf_export("gather_nd", v1=[]) @dispatch.add_dispatch_support def gather_nd_v2(params, indices, batch_dims=0, name=None): return gather_nd(params, indices, name=name, batch_dims=batch_dims) gather_nd_v2.__doc__ = gather_nd.__doc__ def batch_gather_nd(params, indices, batch_dims, name=None): """gather_nd implementation with batch support.""" with ops.name_scope(name, "BatchGatherND", [params, indices]): indices = ops.convert_to_tensor(indices, name="indices") params = ops.convert_to_tensor(params, name="params") if not isinstance(batch_dims, int): raise TypeError("batch_dims must be an int; got %r" % (batch_dims,)) if batch_dims < 0: raise ValueError("tf.gather_nd does not allow negative batch_dims.") params_ndims = params.shape.ndims indices_ndims = indices.shape.ndims if indices_ndims is not None and batch_dims >= indices_ndims: raise ValueError("batch_dims = %d must be less than rank(indices) = %d" % (batch_dims, indices_ndims)) if params_ndims is not None and batch_dims >= params_ndims: raise ValueError("batch_dims = %d must be less than rank(params) = %d" % (batch_dims, params_ndims)) expand = batch_dims == 0 if expand: # Normally gather_nd will be called when batch_dims == 0. # But if this function is called with batch_dims = 0, e.g. for testing # purposes, this adds a dummy batch dimension to make batch_dims = 1. params = expand_dims(params, axis=0) indices = expand_dims(indices, axis=0) batch_dims = 1 params_shape = shape(params) indices_shape = shape(indices) batch_shape = params_shape[:batch_dims] batch_size = gen_math_ops.prod(batch_shape, [0]) index_internal_ndims = rank(indices) - batch_dims - 1 indices_internal_shape = indices_shape[batch_dims:-1] # Assuming a 'params' with shape [b1, ..., bM, g1, ..., gN] and an 'indices' # with shape [b1, ..., bM, i1, ..., iK, C], where C <= N, we need to modify # 'indices' s.t. it has shape [i1, ..., iK, D], where D <= M + N and slices # to the entire 'params' tensor. # Assuming we have a batch of shape [B1, B2], we use meshgrid to create a # grid of size B1 x B2. batch_dim_list = unstack(batch_shape, axis=0) dim_ranges = [ gen_math_ops.cast(gen_math_ops._range(0, x, 1), indices.dtype) for x in batch_dim_list ] mesh_list = meshgrid(*dim_ranges, indexing="ij") if dim_ranges else [] # Then we flatten and stack the tensors to form a (B1.B2) by 2 matrix. flat_list = [reshape(x, shape=(-1,)) for x in mesh_list] index_grid = transpose(stack(flat_list, axis=0)) # We need to concatenate these batch coordinates with the internal indices. # concat -> index_grid [B1.B2, 2] with indices [i1, ..., iK, C] # So we reshape them both to [(B1.B2), i1, ..., iK, *] index_grid_shape = shape(index_grid) index_grid = reshape( index_grid, concat([ index_grid_shape[:1], ones(index_internal_ndims, dtype=dtypes.int32), index_grid_shape[1:] ], axis=0)) tile_shape = concat(((1,), indices_internal_shape, (1,)), axis=0) index_grid = tile(index_grid, multiples=tile_shape) # index_grid now has shape [(B1.B2), i1, ..., iK, 2] flat_shape = concat(([batch_size], indices_shape[batch_dims:]), axis=0) flat_indices = reshape(indices, shape=flat_shape) # flat_indices now has shape [(B1.B2), i1, ..., iK, C] indices = concat((index_grid, flat_indices), axis=-1) # indices has shape [(B1.B2), i1, ..., iK, 2+C] out = gen_array_ops.gather_nd(params, indices) # out has shape [(B1.B2), i1, ..., iK, N-C]. Now we reshape batch to # its original form. out_shape = shape(out) out = reshape(out, shape=concat((batch_shape, out_shape[1:]), axis=0)) if expand: out = squeeze(out, axis=0) return out @deprecation.deprecated_endpoints("tensor_scatter_update") @tf_export( "tensor_scatter_nd_update", v1=["tensor_scatter_nd_update", "tensor_scatter_update"]) @dispatch.add_dispatch_support def tensor_scatter_nd_update(tensor, indices, updates, name=None): """"Scatter `updates` into an existing tensor according to `indices`. This operation creates a new tensor by applying sparse `updates` to the input `tensor`. This is similar to an index assignment. ``` # Not implemented: tensors cannot be updated inplace. tensor[indices] = updates ``` If an out of bound index is found on CPU, an error is returned. > **WARNING**: There are some GPU specific semantics for this operation. > > - If an out of bound index is found, the index is ignored. > - The order in which updates are applied is nondeterministic, so the output > will be nondeterministic if `indices` contains duplicates. This operation is very similar to `tf.scatter_nd`, except that the updates are scattered onto an existing tensor (as opposed to a zero-tensor). If the memory for the existing tensor cannot be re-used, a copy is made and updated. In general: * `indices` is an integer tensor - the indices to update in `tensor`. * `indices` has **at least two** axes, the last axis is the depth of the index vectors. * For each index vector in `indices` there is a corresponding entry in `updates`. * If the length of the index vectors matches the rank of the `tensor`, then the index vectors each point to scalars in `tensor` and each update is a scalar. * If the length of the index vectors is less than the rank of `tensor`, then the index vectors each point to slices of `tensor` and shape of the updates must match that slice. Overall this leads to the following shape constraints: ``` assert tf.rank(indices) >= 2 index_depth = indices.shape[-1] batch_shape = indices.shape[:-1] assert index_depth <= tf.rank(tensor) outer_shape = tensor.shape[:index_depth] inner_shape = tensor.shape[index_depth:] assert updates.shape == batch_shape + inner_shape ``` Typical usage is often much simpler than this general form, and it can be better understood starting with simple examples: ### Scalar updates The simplest usage inserts scalar elements into a tensor by index. In this case, the `index_depth` must equal the rank of the input `tensor`, slice each column of `indices` is an index into an axis of the input `tensor`. In this simplest case the shape constraints are: ``` num_updates, index_depth = indices.shape.as_list() assert updates.shape == [num_updates] assert index_depth == tf.rank(tensor)` ``` For example, to insert 4 scattered elements in a rank-1 tensor with 8 elements. <div style="width:70%; margin:auto; margin-bottom:10px; margin-top:20px;"> <img style="width:100%" src="https://www.tensorflow.org/images/ScatterNd1.png"> </div> This scatter operation would look like this: >>> tensor = [0, 0, 0, 0, 0, 0, 0, 0] # tf.rank(tensor) == 1 >>> indices = [[1], [3], [4], [7]] # num_updates == 4, index_depth == 1 >>> updates = [9, 10, 11, 12] # num_updates == 4 >>> print(tf.tensor_scatter_nd_update(tensor, indices, updates)) tf.Tensor([ 0 9 0 10 11 0 0 12], shape=(8,), dtype=int32) The length (first axis) of `updates` must equal the length of the `indices`: `num_updates`. This is the number of updates being inserted. Each scalar update is inserted into `tensor` at the indexed location. For a higher rank input `tensor` scalar updates can be inserted by using an `index_depth` that matches `tf.rank(tensor)`: >>> tensor = [[1, 1], [1, 1], [1, 1]] # tf.rank(tensor) == 2 >>> indices = [[0, 1], [2, 0]] # num_updates == 2, index_depth == 2 >>> updates = [5, 10] # num_updates == 2 >>> print(tf.tensor_scatter_nd_update(tensor, indices, updates)) tf.Tensor( [[ 1 5] [ 1 1] [10 1]], shape=(3, 2), dtype=int32) ### Slice updates When the input `tensor` has more than one axis scatter can be used to update entire slices. In this case it's helpful to think of the input `tensor` as being a two level array-of-arrays. The shape of this two level array is split into the `outer_shape` and the `inner_shape`. `indices` indexes into the outer level of the input tensor (`outer_shape`). and replaces the sub-array at that location with the corresponding item from the `updates` list. The shape of each update is `inner_shape`. When updating a list of slices the shape constraints are: ``` num_updates, index_depth = indices.shape.as_list() inner_shape = tensor.shape[:index_depth] outer_shape = tensor.shape[index_depth:] assert updates.shape == [num_updates, inner_shape] ``` For example, to update rows of a `(6, 3)` `tensor`: >>> tensor = tf.zeros([6, 3], dtype=tf.int32) Use an index depth of one. >>> indices = tf.constant([[2], [4]]) # num_updates == 2, index_depth == 1 >>> num_updates, index_depth = indices.shape.as_list() The `outer_shape` is `6`, the inner shape is `3`: >>> outer_shape = tensor.shape[:index_depth] >>> inner_shape = tensor.shape[index_depth:] 2 rows are being indexed so 2 `updates` must be supplied. Each update must be shaped to match the `inner_shape`. >>> # num_updates == 2, inner_shape==3 >>> updates = tf.constant([[1, 2, 3], ... [4, 5, 6]]) Altogether this gives: >>> tf.tensor_scatter_nd_update(tensor, indices, updates).numpy() array([[0, 0, 0], [0, 0, 0], [1, 2, 3], [0, 0, 0], [4, 5, 6], [0, 0, 0]], dtype=int32) #### More slice update examples A tensor representing a batch of uniformly sized video clips naturally has 5 axes: `[batch_size, time, width, height, channels]`. For example: >>> batch_size, time, width, height, channels = 13,11,7,5,3 >>> video_batch = tf.zeros([batch_size, time, width, height, channels]) To replace a selection of video clips: * Use an `index_depth` of 1 (indexing the `outer_shape`: `[batch_size]`) * Provide updates each with a shape matching the `inner_shape`: `[time, width, height, channels]`. To replace the first two clips with ones: >>> indices = [[0],[1]] >>> new_clips = tf.ones([2, time, width, height, channels]) >>> tf.tensor_scatter_nd_update(video_batch, indices, new_clips) To replace a selection of frames in the videos: * `indices` must have an `index_depth` of 2 for the `outer_shape`: `[batch_size, time]`. * `updates` must be shaped like a list of images. Each update must have a shape, matching the `inner_shape`: `[width, height, channels]`. To replace the first frame of the first three video clips: >>> indices = [[0, 0], [1, 0], [2, 0]] # num_updates=3, index_depth=2 >>> new_images = tf.ones([ ... # num_updates=3, inner_shape=(width, height, channels) ... 3, width, height, channels]) >>> tf.tensor_scatter_nd_update(video_batch, indices, new_images) ### Folded indices In simple cases it's convenient to think of `indices` and `updates` as lists, but this is not a strict requirement. Instead of a flat `num_updates`, the `indices` and `updates` can be folded into a `batch_shape`. This `batch_shape` is all axes of the `indices`, except for the innermost `index_depth` axis. ``` index_depth = indices.shape[-1] batch_shape = indices.shape[:-1] ``` Note: The one exception is that the `batch_shape` cannot be `[]`. You can't update a single index by passing indices with shape `[index_depth]`. `updates` must have a matching `batch_shape` (the axes before `inner_shape`). ``` assert updates.shape == batch_shape + inner_shape ``` Note: The result is equivalent to flattening the `batch_shape` axes of `indices` and `updates`. This generalization just avoids the need for reshapes when it is more natural to construct "folded" indices and updates. With this generalization the full shape constraints are: ``` assert tf.rank(indices) >= 2 index_depth = indices.shape[-1] batch_shape = indices.shape[:-1] assert index_depth <= tf.rank(tensor) outer_shape = tensor.shape[:index_depth] inner_shape = tensor.shape[index_depth:] assert updates.shape == batch_shape + inner_shape ``` For example, to draw an `X` on a `(5,5)` matrix start with these indices: >>> tensor = tf.zeros([5,5]) >>> indices = tf.constant([ ... [[0,0], ... [1,1], ... [2,2], ... [3,3], ... [4,4]], ... [[0,4], ... [1,3], ... [2,2], ... [3,1], ... [4,0]], ... ]) >>> indices.shape.as_list() # batch_shape == [2, 5], index_depth == 2 [2, 5, 2] Here the `indices` do not have a shape of `[num_updates, index_depth]`, but a shape of `batch_shape+[index_depth]`. Since the `index_depth` is equal to the rank of `tensor`: * `outer_shape` is `(5,5)` * `inner_shape` is `()` - each update is scalar * `updates.shape` is `batch_shape + inner_shape == (5,2) + ()` >>> updates = [ ... [1,1,1,1,1], ... [1,1,1,1,1], ... ] Putting this together gives: >>> tf.tensor_scatter_nd_update(tensor, indices, updates).numpy() array([[1., 0., 0., 0., 1.], [0., 1., 0., 1., 0.], [0., 0., 1., 0., 0.], [0., 1., 0., 1., 0.], [1., 0., 0., 0., 1.]], dtype=float32) Args: tensor: Tensor to copy/update. indices: Indices to update. updates: Updates to apply at the indices. name: Optional name for the operation. Returns: A new tensor with the given shape and updates applied according to the indices. """ return gen_array_ops.tensor_scatter_update( tensor=tensor, indices=indices, updates=updates, name=name) # Define quantize_v2 here in order to make name the second-to-last attribute, # because round_mode was added later. # (And also now because of 'axis' processing). @tf_export(v1=["quantize_v2"]) @dispatch.add_dispatch_support @deprecation.deprecated( "2017-10-25", "`tf.quantize_v2` is deprecated, please use `tf.quantization.quantize` " "instead.") # pylint: disable=missing-docstring def quantize_v2( input, # pylint: disable=redefined-builtin min_range, max_range, T, mode="MIN_COMBINED", name=None, round_mode="HALF_AWAY_FROM_ZERO", narrow_range=False, axis=None, ensure_minimum_range=0.01): if axis is None: axis = -1 elif axis < 0: if input.shape.ndims is None: raise ValueError("input should have known rank to use negative axis.") axis %= input.shape.ndims if ensure_minimum_range != 0.01: return gen_array_ops.quantize_v2( input, min_range, max_range, T=T, mode=mode, name=name, round_mode=round_mode, narrow_range=narrow_range, axis=axis, ensure_minimum_range=ensure_minimum_range) return gen_array_ops.quantize_v2( input, min_range, max_range, T=T, mode=mode, name=name, round_mode=round_mode, narrow_range=narrow_range, axis=axis) quantize_v2.__doc__ = """Please use `tf.quantization.quantize` instead.""" # We want to expose tf.quantization.quantize instead of # tf.quantization.quantize; we can deprecate tf.quantization.quantize in next # version of TensorFlow. @tf_export("quantization.quantize", v1=["quantization.quantize", "quantize"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("quantize") def quantize( input, # pylint: disable=redefined-builtin min_range, max_range, T, mode="MIN_COMBINED", round_mode="HALF_AWAY_FROM_ZERO", name=None, narrow_range=False, axis=None, ensure_minimum_range=0.01): """Quantize the input tensor.""" if ensure_minimum_range != 0.01: return quantize_v2( input, min_range, max_range, T, mode=mode, round_mode=round_mode, name=name, narrow_range=narrow_range, axis=axis, ensure_minimum_range=ensure_minimum_range) return quantize_v2( input, min_range, max_range, T, mode=mode, round_mode=round_mode, name=name, narrow_range=narrow_range, axis=axis) @tf_export("quantization.dequantize", v1=["quantization.dequantize", "dequantize"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("dequantize") def dequantize( # pylint: disable=missing-docstring input, # pylint: disable=redefined-builtin min_range, max_range, mode="MIN_COMBINED", name=None, axis=None, narrow_range=False, dtype=dtypes.float32): if axis is None: axis = -1 elif axis < 0: if input.shape.ndims is None: raise ValueError("input should have known rank to use negative axis.") axis %= input.shape.ndims if axis >= 0 or narrow_range: return gen_array_ops.dequantize( input, min_range, max_range, mode=mode, name=name, narrow_range=narrow_range, axis=axis, dtype=dtype) return gen_array_ops.dequantize( input, min_range, max_range, mode=mode, name=name, dtype=dtype) dequantize.__doc__ = gen_array_ops.dequantize.__doc__ @tf_export("quantization.quantize_and_dequantize") @dispatch.add_dispatch_support @deprecation.deprecated(None, "This Op has been deprecated, use" + "`quantize_and_dequantize_v2` instead. To " + "To simulate the V1 the behavior of " + "tf.quantization.quantize_and_dequantize(...) use " + "tf.grad_pass_through(" + "tf.quantization.quantize_and_dequantize_v2)(...).") def quantize_and_dequantize( input, # pylint: disable=redefined-builtin input_min, input_max, signed_input=True, num_bits=8, range_given=False, round_mode="HALF_TO_EVEN", name=None, narrow_range=False, axis=None): """Quantizes then dequantizes a tensor. Args: input: A `Tensor` to quantize and dequantize. input_min: If range_given=True, the minimum input value, that needs to be represented in the quantized representation. If axis is specified, this should be a vector of minimum values for each slice along axis. input_max: If range_given=True, the maximum input value that needs to be represented in the quantized representation. If axis is specified, this should be a vector of maximum values for each slice along axis. signed_input: True if the quantization is signed or unsigned. num_bits: The bitwidth of the quantization. range_given: If true use `input_min` and `input_max` for the range of the input, otherwise determine min and max from the input `Tensor`. round_mode: Rounding mode when rounding from float values to quantized ones. one of ['HALF_TO_EVEN', 'HALF_UP'] name: Optional name for the operation. narrow_range: If true, then the absolute value of the quantized minimum value is the same as the quantized maximum value, instead of 1 greater. i.e. for 8 bit quantization, the minimum value is -127 instead of -128. axis: Integer. If specified, refers to a dimension of the input tensor, such that quantization will be per slice along that dimension. Returns: A `Tensor`. Each element is the result of quantizing and dequantizing the corresponding element of `input`. """ if axis is None: axis = -1 elif axis < 0: if input.shape.ndims is None: raise ValueError("input should have known rank to use negative axis.") axis %= input.shape.ndims return gen_array_ops.quantize_and_dequantize_v2( input, input_min=input_min, input_max=input_max, signed_input=signed_input, num_bits=num_bits, range_given=range_given, round_mode=round_mode, narrow_range=narrow_range, axis=axis, name=name) @tf_export("quantization.quantize_and_dequantize_v2") @dispatch.add_dispatch_support def quantize_and_dequantize_v2( input, # pylint: disable=redefined-builtin input_min, input_max, signed_input=True, num_bits=8, range_given=False, round_mode="HALF_TO_EVEN", name=None, narrow_range=False, axis=None): """Quantizes then dequantizes a tensor. Updates the gradient definition for quantization that is outside the range to be 0.To simulate the V1 the behavior of tf.quantization.quantize_and_dequantize(...) use tf.grad_pass_through(tf.quantization.quantize_and_dequantize_v2)(...). Example usage: ```python def getQuantizeOp(input): input_tensor = tf.placeholder(tf.float32, shape=[4, 4]) net = tf.quantization.quantize_and_dequantize(input, input_min=min_threshold, input_max=max_threshold, range_given=True) To simulate v1 behavior: def testDecomposeQuantizeDequantize(self): def f(input_tensor): return tf.quantization.quantize_and_dequantize_v2(input_tensor, input_min = 5.0, input_max= -10.0, range_given=True) input_tensor = tf.placeholder(tf.float32, shape=[4, 4]) net = tf.grad_pass_through(f)(input_tensor) ``` Args: input: A `Tensor` to quantize and dequantize. input_min: If range_given=True, the minimum input value, that needs to be represented in the quantized representation. If axis is specified, this should be a vector of minimum values for each slice along axis. input_max: If range_given=True, the maximum input value that needs to be represented in the quantized representation. If axis is specified, this should be a vector of maximum values for each slice along axis. signed_input: True if the quantization is signed or unsigned. num_bits: The bitwidth of the quantization. range_given: If true use `input_min` and `input_max` for the range of the input, otherwise determine min and max from the input `Tensor`. round_mode: Rounding mode when rounding from float values to quantized ones. one of ['HALF_TO_EVEN', 'HALF_UP'] name: Optional name for the operation. narrow_range: If true, then the absolute value of the quantized minimum value is the same as the quantized maximum value, instead of 1 greater. i.e. for 8 bit quantization, the minimum value is -127 instead of -128. axis: Integer. If specified, refers to a dimension of the input tensor, such that quantization will be per slice along that dimension. Returns: A `Tensor`. Each element is the result of quantizing and dequantizing the corresponding element of `input`. """ if axis is None: axis = -1 elif axis < 0: if input.shape.ndims is None: raise ValueError("input should have known rank to use negative axis.") axis %= input.shape.ndims return gen_array_ops.quantize_and_dequantize_v4( input, input_min=input_min, input_max=input_max, signed_input=signed_input, num_bits=num_bits, range_given=range_given, round_mode=round_mode, narrow_range=narrow_range, axis=axis, name=name) @tf_export("searchsorted") @dispatch.add_dispatch_support def searchsorted(sorted_sequence, values, side="left", out_type=dtypes.int32, name=None): """Searches for where a value would go in a sorted sequence. This is not a method for checking containment (like python `in`). The typical use case for this operation is "binning", "bucketing", or "discretizing". The `values` are assigned to bucket-indices based on the **edges** listed in `sorted_sequence`. This operation returns the bucket-index for each value. >>> edges = [-1, 3.3, 9.1, 10.0] >>> values = [0.0, 4.1, 12.0] >>> tf.searchsorted(edges, values).numpy() array([1, 2, 4], dtype=int32) The `side` argument controls which index is returned if a value lands exactly on an edge: >>> seq = [0, 3, 9, 10, 10] >>> values = [0, 4, 10] >>> tf.searchsorted(seq, values).numpy() array([0, 2, 3], dtype=int32) >>> tf.searchsorted(seq, values, side="right").numpy() array([1, 2, 5], dtype=int32) The `axis` is not settable for this operation. It always operates on the innermost dimension (`axis=-1`). The operation will accept any number of outer dimensions. Here it is applied to the rows of a matrix: >>> sorted_sequence = [[0., 3., 8., 9., 10.], ... [1., 2., 3., 4., 5.]] >>> values = [[9.8, 2.1, 4.3], ... [0.1, 6.6, 4.5, ]] >>> tf.searchsorted(sorted_sequence, values).numpy() array([[4, 1, 2], [0, 5, 4]], dtype=int32) Note: This operation assumes that `sorted_sequence` **is sorted** along the innermost axis, maybe using `tf.sort(..., axis=-1)`. **If the sequence is not sorted no error is raised** and the content of the returned tensor is not well defined. Args: sorted_sequence: N-D `Tensor` containing a sorted sequence. values: N-D `Tensor` containing the search values. side: 'left' or 'right'; 'left' corresponds to lower_bound and 'right' to upper_bound. out_type: The output type (`int32` or `int64`). Default is `tf.int32`. name: Optional name for the operation. Returns: An N-D `Tensor` the size of `values` containing the result of applying either lower_bound or upper_bound (depending on side) to each value. The result is not a global index to the entire `Tensor`, but the index in the last dimension. Raises: ValueError: If the last dimension of `sorted_sequence >= 2^31-1` elements. If the total size of `values` exceeds `2^31 - 1` elements. If the first `N-1` dimensions of the two tensors don't match. """ sequence_size = shape_internal(sorted_sequence)[-1] values_size = shape_internal(values)[-1] sorted_sequence_2d = reshape(sorted_sequence, [-1, sequence_size]) values_2d = reshape(values, [-1, values_size]) if side == "right": output = gen_array_ops.upper_bound(sorted_sequence_2d, values_2d, out_type, name) elif side == "left": output = gen_array_ops.lower_bound(sorted_sequence_2d, values_2d, out_type, name) else: raise ValueError("side must be either 'right' or 'left'. Saw: %s." % side) return reshape(output, shape_internal(values)) quantize.__doc__ = gen_array_ops.quantize_v2.__doc__ @tf_export("image.extract_patches") @dispatch.add_dispatch_support def extract_image_patches_v2(images, sizes, strides, rates, padding, name=None): r"""Extract `patches` from `images`. This op collects patches from the input image, as if applying a convolution. All extracted patches are stacked in the depth (last) dimension of the output. Specifically, the op extracts patches of shape `sizes` which are `strides` apart in the input image. The output is subsampled using the `rates` argument, in the same manner as "atrous" or "dilated" convolutions. The result is a 4D tensor which is indexed by batch, row, and column. `output[i, x, y]` contains a flattened patch of size `sizes[1], sizes[2]` which is taken from the input starting at `images[i, x*strides[1], y*strides[2]]`. Each output patch can be reshaped to `sizes[1], sizes[2], depth`, where `depth` is `images.shape[3]`. The output elements are taken from the input at intervals given by the `rate` argument, as in dilated convolutions. The `padding` argument has no effect on the size of each patch, it determines how many patches are extracted. If `VALID`, only patches which are fully contained in the input image are included. If `SAME`, all patches whose starting point is inside the input are included, and areas outside the input default to zero. Example: ``` n = 10 # images is a 1 x 10 x 10 x 1 array that contains the numbers 1 through 100 images = [[[[x * n + y + 1] for y in range(n)] for x in range(n)]] # We generate two outputs as follows: # 1. 3x3 patches with stride length 5 # 2. Same as above, but the rate is increased to 2 tf.image.extract_patches(images=images, sizes=[1, 3, 3, 1], strides=[1, 5, 5, 1], rates=[1, 1, 1, 1], padding='VALID') # Yields: [[[[ 1 2 3 11 12 13 21 22 23] [ 6 7 8 16 17 18 26 27 28]] [[51 52 53 61 62 63 71 72 73] [56 57 58 66 67 68 76 77 78]]]] ``` If we mark the pixels in the input image which are taken for the output with `*`, we see the pattern: ``` * * * 4 5 * * * 9 10 * * * 14 15 * * * 19 20 * * * 24 25 * * * 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 * * * 54 55 * * * 59 60 * * * 64 65 * * * 69 70 * * * 74 75 * * * 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 ``` ``` tf.image.extract_patches(images=images, sizes=[1, 3, 3, 1], strides=[1, 5, 5, 1], rates=[1, 2, 2, 1], padding='VALID') # Yields: [[[[ 1 3 5 21 23 25 41 43 45] [ 6 8 10 26 28 30 46 48 50]] [[ 51 53 55 71 73 75 91 93 95] [ 56 58 60 76 78 80 96 98 100]]]] ``` We can again draw the effect, this time using the symbols `*`, `x`, `+` and `o` to distinguish the patches: ``` * 2 * 4 * x 7 x 9 x 11 12 13 14 15 16 17 18 19 20 * 22 * 24 * x 27 x 29 x 31 32 33 34 35 36 37 38 39 40 * 42 * 44 * x 47 x 49 x + 52 + 54 + o 57 o 59 o 61 62 63 64 65 66 67 68 69 70 + 72 + 74 + o 77 o 79 o 81 82 83 84 85 86 87 88 89 90 + 92 + 94 + o 97 o 99 o ``` Args: images: A 4-D Tensor with shape `[batch, in_rows, in_cols, depth]`. sizes: The size of the extracted patches. Must be `[1, size_rows, size_cols, 1]`. strides: A 1-D Tensor of length 4. How far the centers of two consecutive patches are in the images. Must be: `[1, stride_rows, stride_cols, 1]`. rates: A 1-D Tensor of length 4. Must be: `[1, rate_rows, rate_cols, 1]`. This is the input stride, specifying how far two consecutive patch samples are in the input. Equivalent to extracting patches with `patch_sizes_eff = patch_sizes + (patch_sizes - 1) * (rates - 1)`, followed by subsampling them spatially by a factor of `rates`. This is equivalent to `rate` in dilated (a.k.a. Atrous) convolutions. padding: The type of padding algorithm to use. name: A name for the operation (optional). Returns: A 4-D Tensor of the same type as the input. """ return gen_array_ops.extract_image_patches(images, sizes, strides, rates, padding, name) @tf_export(v1=["image.extract_image_patches", "extract_image_patches"]) @dispatch.add_dispatch_support @deprecation.deprecated_args(None, "ksizes is deprecated, use sizes instead", "ksizes") def extract_image_patches( # pylint: disable=missing-docstring images, ksizes=None, strides=None, rates=None, padding=None, name=None, sizes=None): """Extract patches from images and put them in the "depth" output dimension. Args: `images`: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. 4-D Tensor with shape `[batch, in_rows, in_cols, depth]`. `ksizes`: A list of `ints` that has length `>= 4`. The size of the sliding window for each dimension of `images`. `strides`: A list of `ints` that has length `>= 4`. 1-D of length 4. How far the centers of two consecutive patches are in the images. Must be: `[1, stride_rows, stride_cols, 1]`. `rates`: A list of `ints` that has length `>= 4`. 1-D of length 4. Must be: `[1, rate_rows, rate_cols, 1]`. This is the input stride, specifying how far two consecutive patch samples are in the input. Equivalent to extracting patches with `patch_sizes_eff = patch_sizes + (patch_sizes - 1) * (rates - 1)`, followed by subsampling them spatially by a factor of `rates`. This is equivalent to `rate` in dilated (a.k.a. Atrous) convolutions. `padding`: A `string` from: "SAME", "VALID". The type of padding algorithm to use. We specify the size-related attributes as: ``` ksizes = [1, ksize_rows, ksize_cols, 1] strides = [1, strides_rows, strides_cols, 1] rates = [1, rates_rows, rates_cols, 1] name: A name for the operation (optional). ``` Returns: A Tensor. Has the same type as images. """ ksizes = deprecation.deprecated_argument_lookup("sizes", sizes, "ksizes", ksizes) return gen_array_ops.extract_image_patches(images, ksizes, strides, rates, padding, name) extract_image_patches.__doc__ = gen_array_ops.extract_image_patches.__doc__ @tf_export("fingerprint") @dispatch.add_dispatch_support def fingerprint(data, method="farmhash64", name=None): r"""Generates fingerprint values. Generates fingerprint values of `data`. Fingerprint op considers the first dimension of `data` as the batch dimension, and `output[i]` contains the fingerprint value generated from contents in `data[i, ...]` for all `i`. Fingerprint op writes fingerprint values as byte arrays. For example, the default method `farmhash64` generates a 64-bit fingerprint value at a time. This 8-byte value is written out as an `tf.uint8` array of size 8, in little-endian order. For example, suppose that `data` has data type `tf.int32` and shape (2, 3, 4), and that the fingerprint method is `farmhash64`. In this case, the output shape is (2, 8), where 2 is the batch dimension size of `data`, and 8 is the size of each fingerprint value in bytes. `output[0, :]` is generated from 12 integers in `data[0, :, :]` and similarly `output[1, :]` is generated from other 12 integers in `data[1, :, :]`. Note that this op fingerprints the raw underlying buffer, and it does not fingerprint Tensor's metadata such as data type and/or shape. For example, the fingerprint values are invariant under reshapes and bitcasts as long as the batch dimension remain the same: ```python tf.fingerprint(data) == tf.fingerprint(tf.reshape(data, ...)) tf.fingerprint(data) == tf.fingerprint(tf.bitcast(data, ...)) ``` For string data, one should expect `tf.fingerprint(data) != tf.fingerprint(tf.string.reduce_join(data))` in general. Args: data: A `Tensor`. Must have rank 1 or higher. method: A `Tensor` of type `tf.string`. Fingerprint method used by this op. Currently available method is `farmhash64`. name: A name for the operation (optional). Returns: A two-dimensional `Tensor` of type `tf.uint8`. The first dimension equals to `data`'s first dimension, and the second dimension size depends on the fingerprint algorithm. """ return gen_array_ops.fingerprint(data, method, name) def convert_to_int_tensor(tensor, name, dtype=dtypes.int32): """Converts the given value to an integer Tensor.""" tensor = ops.convert_to_tensor(tensor, name=name, preferred_dtype=dtype) if tensor.dtype.is_integer: tensor = gen_math_ops.cast(tensor, dtype) else: raise TypeError("%s must be an integer tensor; dtype=%s" % (name, tensor.dtype)) return tensor def get_positive_axis(axis, ndims, axis_name="axis", ndims_name="ndims"): """Validate an `axis` parameter, and normalize it to be positive. If `ndims` is known (i.e., not `None`), then check that `axis` is in the range `-ndims <= axis < ndims`, and return `axis` (if `axis >= 0`) or `axis + ndims` (otherwise). If `ndims` is not known, and `axis` is positive, then return it as-is. If `ndims` is not known, and `axis` is negative, then report an error. Args: axis: An integer constant ndims: An integer constant, or `None` axis_name: The name of `axis` (for error messages). ndims_name: The name of `ndims` (for error messages). Returns: The normalized `axis` value. Raises: ValueError: If `axis` is out-of-bounds, or if `axis` is negative and `ndims is None`. """ if not isinstance(axis, int): raise TypeError("%s must be an int; got %s" % (axis_name, type(axis).__name__)) if ndims is not None: if 0 <= axis < ndims: return axis elif -ndims <= axis < 0: return axis + ndims else: raise ValueError("%s=%s out of bounds: expected %s<=%s<%s" % (axis_name, axis, -ndims, axis_name, ndims)) elif axis < 0: raise ValueError("%s may only be negative if %s is statically known." % (axis_name, ndims_name)) return axis # This op is intended to exactly match the semantics of numpy.repeat, with # one exception: numpy.repeat has special (and somewhat non-intuitive) behavior # when axis is not specified. Rather than implement that special behavior, we # simply make `axis` be a required argument. # # External (OSS) `tf.repeat` feature request: # https://github.com/tensorflow/tensorflow/issues/8246 def repeat_with_axis(data, repeats, axis, name=None): """Repeats elements of `data`. Args: data: An `N`-dimensional tensor. repeats: A 1-D integer tensor specifying how many times each element in `axis` should be repeated. `len(repeats)` must equal `data.shape[axis]`. Supports broadcasting from a scalar value. axis: `int`. The axis along which to repeat values. Must be less than `max(N, 1)`. name: A name for the operation. Returns: A tensor with `max(N, 1)` dimensions. Has the same shape as `data`, except that dimension `axis` has size `sum(repeats)`. Example usage: >>> repeat(['a', 'b', 'c'], repeats=[3, 0, 2], axis=0) <tf.Tensor: shape=(5,), dtype=string, numpy=array([b'a', b'a', b'a', b'c', b'c'], dtype=object)> >>> repeat([[1, 2], [3, 4]], repeats=[2, 3], axis=0) <tf.Tensor: shape=(5, 2), dtype=int32, numpy= array([[1, 2], [1, 2], [3, 4], [3, 4], [3, 4]], dtype=int32)> >>> repeat([[1, 2], [3, 4]], repeats=[2, 3], axis=1) <tf.Tensor: shape=(2, 5), dtype=int32, numpy= array([[1, 1, 2, 2, 2], [3, 3, 4, 4, 4]], dtype=int32)> """ if not isinstance(axis, int): raise TypeError("axis must be an int; got %s" % type(axis).__name__) with ops.name_scope(name, "Repeat", [data, repeats]): data = ops.convert_to_tensor(data, name="data") repeats = convert_to_int_tensor(repeats, name="repeats") repeats.shape.with_rank_at_most(1) # If `data` is a scalar, then upgrade it to a vector. data = _with_nonzero_rank(data) data_shape = shape(data) # If `axis` is negative, then convert it to a positive value. axis = get_positive_axis(axis, data.shape.rank, ndims_name="rank(data)") # If we know that `repeats` is a scalar, then we can just tile & reshape. if repeats.shape.num_elements() == 1: repeats = reshape(repeats, []) expanded = expand_dims(data, axis + 1) tiled = tile_one_dimension(expanded, axis + 1, repeats) result_shape = concat([ data_shape[:axis], [repeats * data_shape[axis]], data_shape[axis + 1:] ], axis=0) return reshape(tiled, result_shape) # Check data Tensor shapes. if repeats.shape.ndims == 1: data.shape.dims[axis].assert_is_compatible_with(repeats.shape[0]) repeats = broadcast_to(repeats, [data_shape[axis]]) repeats_original = repeats # Broadcast the `repeats` tensor so rank(repeats) == axis + 1. if repeats.shape.ndims != axis + 1: repeats_shape = shape(repeats) repeats_ndims = rank(repeats) broadcast_shape = concat( [data_shape[:axis + 1 - repeats_ndims], repeats_shape], axis=0) repeats = broadcast_to(repeats, broadcast_shape) repeats.set_shape([None] * (axis + 1)) # Create a "sequence mask" based on `repeats`, where slices across `axis` # contain one `True` value for each repetition. E.g., if # `repeats = [3, 1, 2]`, then `mask = [[1, 1, 1], [1, 0, 0], [1, 1, 0]]`. max_repeat = gen_math_ops.maximum( 0, gen_math_ops._max(repeats, _all_dimensions(repeats))) mask = sequence_mask(repeats, max_repeat) # Add a new dimension around each value that needs to be repeated, and # then tile that new dimension to match the maximum number of repetitions. expanded = expand_dims(data, axis + 1) tiled = tile_one_dimension(expanded, axis + 1, max_repeat) # Use `boolean_mask` to discard the extra repeated values. This also # flattens all dimensions up through `axis`. masked = boolean_mask(tiled, mask) # Reshape the output tensor to add the outer dimensions back. if axis == 0: result = masked else: repeated_dim_size = gen_math_ops._sum( repeats_original, axis=gen_math_ops._range(0, rank(repeats_original), 1)) result_shape = concat( [data_shape[:axis], [repeated_dim_size], data_shape[axis + 1:]], axis=0) result = reshape(masked, result_shape) # Preserve shape information. if data.shape.ndims is not None: new_axis_size = 0 if repeats.shape[0] == 0 else None result.set_shape(data.shape[:axis].concatenate( [new_axis_size]).concatenate(data.shape[axis + 1:])) return result def tile_one_dimension(data, axis, multiple): """Tiles a single dimension of a tensor.""" # Assumes axis is a nonnegative int. if data.shape.ndims is not None: multiples = [1] * data.shape.ndims multiples[axis] = multiple else: ones_value = ones(rank(data), dtypes.int32) multiples = concat([ones_value[:axis], [multiple], ones_value[axis + 1:]], axis=0) return tile(data, multiples) def _with_nonzero_rank(data): """If `data` is scalar, then add a dimension; otherwise return as-is.""" if data.shape.ndims is not None: if data.shape.ndims == 0: return stack([data]) else: return data else: data_shape = shape(data) data_ndims = rank(data) return reshape(data, concat([[1], data_shape], axis=0)[-data_ndims:]) @tf_export("repeat") @dispatch.add_dispatch_support def repeat(input, repeats, axis=None, name=None): # pylint: disable=redefined-builtin """Repeat elements of `input`. See also `tf.concat`, `tf.stack`, `tf.tile`. Args: input: An `N`-dimensional Tensor. repeats: An 1-D `int` Tensor. The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis. `len(repeats)` must equal `input.shape[axis]` if axis is not None. axis: An int. The axis along which to repeat values. By default (axis=None), use the flattened input array, and return a flat output array. name: A name for the operation. Returns: A Tensor which has the same shape as `input`, except along the given axis. If axis is None then the output array is flattened to match the flattened input array. Example usage: >>> repeat(['a', 'b', 'c'], repeats=[3, 0, 2], axis=0) <tf.Tensor: shape=(5,), dtype=string, numpy=array([b'a', b'a', b'a', b'c', b'c'], dtype=object)> >>> repeat([[1, 2], [3, 4]], repeats=[2, 3], axis=0) <tf.Tensor: shape=(5, 2), dtype=int32, numpy= array([[1, 2], [1, 2], [3, 4], [3, 4], [3, 4]], dtype=int32)> >>> repeat([[1, 2], [3, 4]], repeats=[2, 3], axis=1) <tf.Tensor: shape=(2, 5), dtype=int32, numpy= array([[1, 1, 2, 2, 2], [3, 3, 4, 4, 4]], dtype=int32)> >>> repeat(3, repeats=4) <tf.Tensor: shape=(4,), dtype=int32, numpy=array([3, 3, 3, 3], dtype=int32)> >>> repeat([[1,2], [3,4]], repeats=2) <tf.Tensor: shape=(8,), dtype=int32, numpy=array([1, 1, 2, 2, 3, 3, 4, 4], dtype=int32)> """ if axis is None: input = reshape(input, [-1]) axis = 0 return repeat_with_axis(input, repeats, axis, name)

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from __future__ import absolute_import from __future__ import division from __future__ import print_function import numbers import numpy as np from tensorflow.python.eager import context from tensorflow.python.framework import common_shapes from tensorflow.python.framework import composite_tensor from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes from tensorflow.python.framework import ops from tensorflow.python.framework import sparse_tensor from tensorflow.python.framework import tensor_shape from tensorflow.python.framework import tensor_util from tensorflow.python.framework.constant_op import constant from tensorflow.python.ops import gen_array_ops from tensorflow.python.ops import gen_math_ops from tensorflow.python.ops.gen_array_ops import * from tensorflow.python.ops.gen_array_ops import reverse_v2 as reverse from tensorflow.python.types import core from tensorflow.python.util import deprecation from tensorflow.python.util import dispatch from tensorflow.python.util import nest from tensorflow.python.util import tf_decorator from tensorflow.python.util.tf_export import tf_export newaxis = None tf_export("newaxis").export_constant(__name__, "newaxis") # existing 'slice' for later use in this module. _BaseSlice = slice @tf_export("reshape", v1=["reshape", "manip.reshape"]) @dispatch.add_dispatch_support def reshape(tensor, shape, name=None): # pylint: disable=redefined-outer-name result = gen_array_ops.reshape(tensor, shape, name) tensor_util.maybe_set_static_shape(result, shape) return result @tf_export("fill") @dispatch.add_dispatch_support def fill(dims, value, name=None): result = gen_array_ops.fill(dims, value, name=name) tensor_util.maybe_set_static_shape(result, dims) return result @tf_export("identity") @dispatch.add_dispatch_support def identity(input, name=None): # pylint: disable=redefined-builtin if isinstance(input, composite_tensor.CompositeTensor): return nest.map_structure(identity, input, expand_composites=True) if context.executing_eagerly() and not hasattr(input, "graph"): # Make sure we get an input with handle data attached from resource # variables. Variables have correct handle data when graph building. input = ops.convert_to_tensor(input) ret = gen_array_ops.identity(input, name=name) # Propagate handle data for happier shape inference for resource variables. if hasattr(input, "_handle_data"): ret._handle_data = input._handle_data # pylint: disable=protected-access return ret # pylint: disable=redefined-builtin,protected-access @tf_export(v1=["expand_dims"]) @dispatch.add_dispatch_support @deprecation.deprecated_args(None, "Use the `axis` argument instead", "dim") def expand_dims(input, axis=None, name=None, dim=None): axis = deprecation.deprecated_argument_lookup("axis", axis, "dim", dim) if axis is None: raise ValueError("Must specify an axis argument to tf.expand_dims()") return expand_dims_v2(input, axis, name) @tf_export("expand_dims", v1=[]) @dispatch.add_dispatch_support def expand_dims_v2(input, axis, name=None): return gen_array_ops.expand_dims(input, axis, name) # pylint: enable=redefined-builtin,protected-access # Aliases for some automatically-generated names. # pylint: disable=protected-access @deprecation.deprecated("2016-11-30", "This op will be removed after the deprecation date. " "Please switch to tf.setdiff1d().") def listdiff(x, y, out_idx=None, name=None): return gen_array_ops.list_diff(x, y, out_idx, name) listdiff.__doc__ = gen_array_ops.list_diff.__doc__ + "\n" + listdiff.__doc__ # pylint: enable=protected-access # pylint: disable=undefined-variable @deprecation.deprecated("2018-11-30", "This op will be removed after the deprecation date. " "Please switch to tf.sets.difference().") @tf_export(v1=["setdiff1d"]) @dispatch.add_dispatch_support def setdiff1d(x, y, index_dtype=dtypes.int32, name=None): return gen_array_ops.list_diff(x, y, index_dtype, name) setdiff1d.__doc__ = gen_array_ops.list_diff.__doc__ @tf_export("broadcast_dynamic_shape") @dispatch.add_dispatch_support def broadcast_dynamic_shape(shape_x, shape_y): return gen_array_ops.broadcast_args(shape_x, shape_y) @tf_export("broadcast_static_shape") @dispatch.add_dispatch_support def broadcast_static_shape(shape_x, shape_y): return common_shapes.broadcast_shape(shape_x, shape_y) @tf_export("shape", v1=[]) @dispatch.add_dispatch_support def shape_v2(input, out_type=dtypes.int32, name=None): # pylint: disable=redefined-builtin return shape(input, name, out_type) @tf_export(v1=["shape"]) @dispatch.add_dispatch_support def shape(input, name=None, out_type=dtypes.int32): # pylint: disable=redefined-builtin return shape_internal(input, name, optimize=True, out_type=out_type) def shape_internal(input, name=None, optimize=True, out_type=dtypes.int32): # pylint: disable=redefined-builtin with ops.name_scope(name, "Shape", [input]) as name: if isinstance( input, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): return gen_math_ops.cast(input.dense_shape, out_type) else: if not context.executing_eagerly(): input = ops.convert_to_tensor(input) input_shape = input.get_shape() if optimize and input_shape.is_fully_defined(): return constant(input_shape.as_list(), out_type, name=name) return gen_array_ops.shape(input, name=name, out_type=out_type) @tf_export("shape_n") @dispatch.add_dispatch_support def shape_n(input, out_type=dtypes.int32, name=None): # pylint: disable=redefined-builtin return gen_array_ops.shape_n(input, out_type=out_type, name=name) @tf_export("size", v1=[]) @dispatch.add_dispatch_support def size_v2(input, out_type=dtypes.int32, name=None): # pylint: disable=redefined-builtin return size(input, name, out_type) @tf_export(v1=["size"]) @dispatch.add_dispatch_support def size(input, name=None, out_type=dtypes.int32): # pylint: disable=redefined-builtin return size_internal(input, name, optimize=True, out_type=out_type) def size_internal(input, name=None, optimize=True, out_type=dtypes.int32): # pylint: disable=redefined-builtin,protected-access if (context.executing_eagerly() and not hasattr(input, "graph") and not isinstance( input, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue))): input = ops.convert_to_tensor(input) np_out_type = out_type.as_numpy_dtype num_elements = np.prod(input._shape_tuple(), dtype=np_out_type) # pylint: disable=protected-access return ops.convert_to_tensor(num_elements, dtype=out_type) with ops.name_scope(name, "Size", [input]) as name: if isinstance( input, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): return gen_math_ops.prod( gen_math_ops.cast(input.dense_shape, out_type), 0, name=name) else: input = ops.convert_to_tensor(input) input_shape = input.get_shape() if optimize: if input_shape.is_fully_defined(): return constant(input_shape.num_elements(), out_type, name=name) if input_shape.dims and any(dim == 0 for dim in input_shape.dims): return constant(0, out_type, name=name) return gen_array_ops.size(input, name=name, out_type=out_type) @tf_export("rank") @dispatch.add_dispatch_support def rank(input, name=None): # pylint: disable=redefined-builtin return rank_internal(input, name, optimize=True) def rank_internal(input, name=None, optimize=True): # pylint: disable=redefined-builtin with ops.name_scope(name, "Rank", [input]) as name: if isinstance( input, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): return gen_array_ops.size(input.dense_shape, name=name) else: input = ops.convert_to_tensor(input) input_shape = input.get_shape() if optimize and input_shape.ndims is not None: return constant(input_shape.ndims, dtypes.int32, name=name) return gen_array_ops.rank(input, name=name) _SLICE_TYPE_ERROR = ( "Only integers, slices (`:`), ellipsis (`...`), " "tf.newaxis (`None`) and scalar tf.int32/tf.int64 tensors are valid " "indices") _SUPPORTED_SLICE_DTYPES = (dtypes.int32, dtypes.int32_ref, dtypes.int64, dtypes.int64_ref) def _check_index(idx): if isinstance(idx, (numbers.Integral, tensor_shape.Dimension)): return # Optimistic check. Assumptions: # * any object with a dtype is supported # * any object with a dtype has a sizeable shape attribute. dtype = getattr(idx, "dtype", None) if (dtype is None or dtypes.as_dtype(dtype) not in _SUPPORTED_SLICE_DTYPES or idx.shape and len(idx.shape) == 1): # TODO(slebedev): IndexError seems more appropriate here, but it # will break `_slice_helper` contract. raise TypeError(_SLICE_TYPE_ERROR + ", got {!r}".format(idx)) def _is_undefined_dimension(d): return isinstance(d, tensor_shape.Dimension) and d.value is None @tf_export("__operators__.getitem", v1=[]) @dispatch.add_dispatch_support def _slice_helper(tensor, slice_spec, var=None): tensor = ops.convert_to_tensor(tensor) # TODO(wangpeng): Consider supporting var if var is None and ops._numpy_style_slicing: # pylint: disable=protected-access return tensor._numpy_style_getitem(slice_spec) # pylint: disable=protected-access if isinstance(slice_spec, bool) or \ (isinstance(slice_spec, ops.Tensor) and slice_spec.dtype == dtypes.bool) or \ (isinstance(slice_spec, np.ndarray) and slice_spec.dtype == bool): return boolean_mask(tensor=tensor, mask=slice_spec) if not isinstance(slice_spec, (list, tuple)): slice_spec = [slice_spec] begin, end, strides = [], [], [] index = 0 new_axis_mask, shrink_axis_mask = 0, 0 begin_mask, end_mask = 0, 0 ellipsis_mask = 0 for s in slice_spec: if isinstance(s, _BaseSlice): if s.start is not None and not _is_undefined_dimension(s.start): _check_index(s.start) begin.append(s.start) else: begin.append(0) begin_mask |= (1 << index) if s.stop is not None and not _is_undefined_dimension(s.stop): _check_index(s.stop) end.append(s.stop) else: end.append(0) end_mask |= (1 << index) if s.step is not None and not _is_undefined_dimension(s.step): _check_index(s.step) strides.append(s.step) else: strides.append(1) elif s is Ellipsis: begin.append(0) end.append(0) strides.append(1) ellipsis_mask |= (1 << index) elif s is newaxis: begin.append(0) end.append(0) strides.append(1) new_axis_mask |= (1 << index) else: _check_index(s) begin.append(s) end.append(s + 1) strides.append(1) shrink_axis_mask |= (1 << index) index += 1 # stack possibly involves no tensors, so we must use op_scope correct graph. with ops.name_scope( None, "strided_slice", [tensor] + begin + end + strides, skip_on_eager=False) as name: if begin: packed_begin, packed_end, packed_strides = (stack(begin), stack(end), stack(strides)) if (packed_begin.dtype == dtypes.int64 or packed_end.dtype == dtypes.int64 or packed_strides.dtype == dtypes.int64): if packed_begin.dtype != dtypes.int64: packed_begin = gen_math_ops.cast(packed_begin, dtypes.int64) if packed_end.dtype != dtypes.int64: packed_end = gen_math_ops.cast(packed_end, dtypes.int64) if packed_strides.dtype != dtypes.int64: packed_strides = gen_math_ops.cast(packed_strides, dtypes.int64) else: var_empty = constant([], dtype=dtypes.int32) packed_begin = packed_end = packed_strides = var_empty return strided_slice( tensor, packed_begin, packed_end, packed_strides, begin_mask=begin_mask, end_mask=end_mask, shrink_axis_mask=shrink_axis_mask, new_axis_mask=new_axis_mask, ellipsis_mask=ellipsis_mask, var=var, name=name) # pylint: disable=undefined-variable,protected-access,redefined-outer-name @tf_export("slice") @dispatch.add_dispatch_support def slice(input_, begin, size, name=None): # pylint: disable=redefined-builtin return gen_array_ops._slice(input_, begin, size, name=name) # pylint: disable=invalid-name @tf_export("strided_slice") @dispatch.add_dispatch_support def strided_slice(input_, begin, end, strides=None, begin_mask=0, end_mask=0, ellipsis_mask=0, new_axis_mask=0, shrink_axis_mask=0, var=None, name=None): if strides is None: strides = ones_like(begin) op = gen_array_ops.strided_slice( input=input_, begin=begin, end=end, strides=strides, name=name, begin_mask=begin_mask, end_mask=end_mask, ellipsis_mask=ellipsis_mask, new_axis_mask=new_axis_mask, shrink_axis_mask=shrink_axis_mask) parent_name = name if var is not None: def assign(val, name=None): if name is None: name = parent_name + "_assign" return var._strided_slice_assign( begin=begin, end=end, strides=strides, value=val, name=name, begin_mask=begin_mask, end_mask=end_mask, ellipsis_mask=ellipsis_mask, new_axis_mask=new_axis_mask, shrink_axis_mask=shrink_axis_mask) op.assign = assign return op def _SliceHelperVar(var, slice_spec): return _slice_helper(var.value(), slice_spec, var) ops.Tensor._override_operator("__getitem__", _slice_helper) @tf_export("parallel_stack") @dispatch.add_dispatch_support def parallel_stack(values, name="parallel_stack"): if context.executing_eagerly(): raise RuntimeError("tf.parallel_stack() is not compatible with " "eager execution.") with ops.name_scope(name): value_t = ops.convert_to_tensor(values[0]) value_shape = ops.convert_to_tensor(value_t).get_shape() output_shape = tensor_shape.TensorShape([len(values)]) output_shape = output_shape.concatenate(value_shape) # expand_dims converts concat to stack. return gen_array_ops.parallel_concat( [expand_dims(value, 0) for value in values], shape=output_shape) @tf_export("stack") @dispatch.add_dispatch_support def stack(values, axis=0, name="stack"): if axis == 0: try: # If the input is a constant list, it can be converted to a constant op return ops.convert_to_tensor(values, name=name) except (TypeError, ValueError): pass # Input list contains non-constant tensors value_shape = ops.convert_to_tensor(values[0], name=name)._shape_tuple() # pylint: disable=protected-access if value_shape is not None: expanded_num_dims = len(value_shape) + 1 if axis < -expanded_num_dims or axis >= expanded_num_dims: raise ValueError("axis = %d not in [%d, %d)" % (axis, -expanded_num_dims, expanded_num_dims)) return gen_array_ops.pack(values, axis=axis, name=name) # pylint: disable=invalid-name def _autopacking_helper(list_or_tuple, dtype, name): if context.executing_eagerly(): # NOTE: Fast path when all the items are tensors, this doesn't do any type if all(isinstance(elem, core.Tensor) for elem in list_or_tuple): return gen_array_ops.pack(list_or_tuple, name=name) must_pack = False converted_elems = [] with ops.name_scope(name) as scope: for i, elem in enumerate(list_or_tuple): if isinstance(elem, core.Tensor): if dtype is not None and elem.dtype.base_dtype != dtype: raise TypeError("Cannot convert a list containing a tensor of dtype " "%s to %s (Tensor is: %r)" % (elem.dtype, dtype, elem)) converted_elems.append(elem) must_pack = True elif isinstance(elem, (list, tuple)): converted_elem = _autopacking_helper(elem, dtype, str(i)) if isinstance(converted_elem, core.Tensor): must_pack = True converted_elems.append(converted_elem) else: converted_elems.append(elem) if must_pack: elems_as_tensors = [] for i, elem in enumerate(converted_elems): if isinstance(elem, core.Tensor): elems_as_tensors.append(elem) else: elems_as_tensors.append( constant_op.constant(elem, dtype=dtype, name=str(i))) return gen_array_ops.pack(elems_as_tensors, name=scope) else: return converted_elems def _get_dtype_from_nested_lists(list_or_tuple): for elem in list_or_tuple: if isinstance(elem, core.Tensor): return elem.dtype.base_dtype elif isinstance(elem, (list, tuple)): maybe_dtype = _get_dtype_from_nested_lists(elem) if maybe_dtype is not None: return maybe_dtype return None def _cast_nested_seqs_to_dtype(dtype): def _maybe_cast(elem): if isinstance(elem, core.Tensor): if dtype != elem.dtype.base_dtype: elem = gen_math_ops.cast(elem, dtype) return elem return _maybe_cast _NON_AUTOPACKABLE_TYPES = set(np.core.numerictypes.ScalarType) _NON_AUTOPACKABLE_TYPES.add(np.ndarray) def _should_not_autopack(v): return all(type(elem) in _NON_AUTOPACKABLE_TYPES for elem in nest.flatten(v)) def _autopacking_conversion_function(v, dtype=None, name=None, as_ref=False): if as_ref or _should_not_autopack(v): return NotImplemented inferred_dtype = _get_dtype_from_nested_lists(v) if inferred_dtype is None: return NotImplemented if dtype is None: dtype = inferred_dtype elif dtype != inferred_dtype: v = nest.map_structure(_cast_nested_seqs_to_dtype(dtype), v) return _autopacking_helper(v, dtype, name or "packed") ops.register_tensor_conversion_function((list, tuple), _autopacking_conversion_function, 99) @tf_export("unstack") @dispatch.add_dispatch_support def unstack(value, num=None, axis=0, name="unstack"): if num is None: value = ops.convert_to_tensor(value) value_shape = value.get_shape() if value_shape.ndims is not None: if axis < -value_shape.ndims or axis >= value_shape.ndims: raise ValueError("axis = %d not in [%d, %d)" % (axis, -value_shape.ndims, value_shape.ndims)) num = value_shape.dims[axis].value if num is None: raise ValueError("Cannot infer num from shape %s" % value_shape) return gen_array_ops.unpack(value, num=num, axis=axis, name=name) @tf_export("concat") @dispatch.add_dispatch_support def concat(values, axis, name="concat"): if not isinstance(values, (list, tuple)): values = [values] if len(values) == 1: with ops.name_scope(name) as scope: ops.convert_to_tensor( axis, name="concat_dim", dtype=dtypes.int32).get_shape().assert_has_rank(0) return identity(values[0], name=name) return gen_array_ops.concat_v2(values=values, axis=axis, name=name) @tf_export(v1=["boolean_mask"]) @dispatch.add_dispatch_support def boolean_mask(tensor, mask, name="boolean_mask", axis=None): def _apply_mask_1d(reshaped_tensor, mask, axis=None): indices = squeeze(where_v2(mask), axis=[1]) return gather(reshaped_tensor, indices, axis=axis) with ops.name_scope(name, values=[tensor, mask]): tensor = ops.convert_to_tensor(tensor, name="tensor") mask = ops.convert_to_tensor(mask, name="mask") shape_mask = mask.get_shape() ndims_mask = shape_mask.ndims shape_tensor = tensor.get_shape() if ndims_mask == 0: raise ValueError("mask cannot be scalar.") if ndims_mask is None: raise ValueError( "Number of mask dimensions must be specified, even if some dimensions" " are None. E.g. shape=[None] is ok, but shape=None is not.") axis = 0 if axis is None else axis axis_value = tensor_util.constant_value(axis) if axis_value is not None: axis = axis_value shape_tensor[axis:axis + ndims_mask].assert_is_compatible_with(shape_mask) leading_size = gen_math_ops.prod(shape(tensor)[axis:axis + ndims_mask], [0]) tensor = reshape( tensor, concat([ shape(tensor)[:axis], [leading_size], shape(tensor)[axis + ndims_mask:] ], 0)) if axis_value is not None: first_dim = shape_tensor[axis:axis + ndims_mask].num_elements() tensor.set_shape( tensor_shape.as_shape(shape_tensor[:axis]).concatenate( [first_dim]).concatenate(shape_tensor[axis + ndims_mask:])) mask = reshape(mask, [-1]) return _apply_mask_1d(tensor, mask, axis) @tf_export("boolean_mask", v1=[]) @dispatch.add_dispatch_support def boolean_mask_v2(tensor, mask, axis=None, name="boolean_mask"): return boolean_mask(tensor, mask, name, axis) @tf_export("sparse.mask", v1=["sparse.mask", "sparse_mask"]) @deprecation.deprecated_endpoints("sparse_mask") def sparse_mask(a, mask_indices, name=None): with ops.name_scope(name, "sparse_mask", [a, mask_indices]) as name: indices = a.indices out_indices, to_gather = gen_array_ops.list_diff(indices, mask_indices) out_values = gather(a.values, to_gather, name=name) return ops.IndexedSlices(out_values, out_indices, a.dense_shape) @tf_export("unique") @dispatch.add_dispatch_support def unique(x, out_idx=dtypes.int32, name=None): return gen_array_ops.unique(x, out_idx, name) unique.__doc__ = gen_array_ops.unique.__doc__ @tf_export("unique_with_counts") @dispatch.add_dispatch_support def unique_with_counts(x, out_idx=dtypes.int32, name=None): return gen_array_ops.unique_with_counts(x, out_idx, name) unique_with_counts.__doc__ = gen_array_ops.unique_with_counts.__doc__ @tf_export("split") @dispatch.add_dispatch_support def split(value, num_or_size_splits, axis=0, num=None, name="split"): if isinstance(num_or_size_splits, (numbers.Integral, tensor_shape.Dimension)): return gen_array_ops.split( axis=axis, num_split=num_or_size_splits, value=value, name=name) size_splits = ops.convert_to_tensor(num_or_size_splits) if size_splits._rank() == 0: raise ValueError( "Rank-0 tensors are not supported as the num_or_size_splits argument " "to split. Argument provided: %s" % (num_or_size_splits,)) if num is None: size_splits_shape = size_splits._shape_tuple() if size_splits_shape: num = size_splits_shape[0] if num is None: raise ValueError("Cannot infer num from shape %s" % num_or_size_splits) return gen_array_ops.split_v( value=value, size_splits=size_splits, axis=axis, num_split=num, name=name) @tf_export("transpose", v1=[]) @dispatch.add_dispatch_support def transpose_v2(a, perm=None, conjugate=False, name="transpose"): return transpose(a=a, perm=perm, name=name, conjugate=conjugate) @tf_export(v1=["transpose"]) @dispatch.add_dispatch_support def transpose(a, perm=None, name="transpose", conjugate=False): with ops.name_scope(name, "transpose", [a]) as name: if not tensor_util.is_tf_type(a): a = ops.convert_to_tensor(a, name="a") if conjugate and a.dtype.is_complex: transpose_fn = gen_array_ops.conjugate_transpose else: transpose_fn = gen_array_ops.transpose if perm is not None: return transpose_fn(a, perm, name=name) rank = a.shape.rank if rank is None: perm = gen_math_ops._range(gen_array_ops.rank(a) - 1, -1, -1) else: perm = np.arange(rank - 1, -1, -1, dtype=np.int32) return transpose_fn(a, perm, name=name) @tf_export( "linalg.matrix_transpose", v1=["linalg.transpose", "linalg.matrix_transpose", "matrix_transpose"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("matrix_transpose", "linalg.transpose") def matrix_transpose(a, name="matrix_transpose", conjugate=False): with ops.name_scope(name, values=[a]): a = ops.convert_to_tensor(a, name="a") a_shape = a.get_shape() ndims = a_shape.ndims if ndims is not None: if ndims < 2: raise ValueError( "Argument 'a' should be a (batch) matrix, with rank >= 2. Found: " "%s" % a_shape) perm = list(range(ndims - 2)) + [ndims - 1] + [ndims - 2] else: a_rank = rank(a) perm = concat( (gen_math_ops._range(0, a_rank - 2, 1), [a_rank - 1, a_rank - 2]), 0) return transpose(a, perm=perm, conjugate=conjugate) @tf_export("linalg.diag", v1=["linalg.diag", "matrix_diag"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("matrix_diag") def matrix_diag(diagonal, name="diag", k=0, num_rows=-1, num_cols=-1, padding_value=0, align="RIGHT_LEFT"): if hasattr(diagonal, "dtype") and diagonal.dtype == "bool": padding_value = bool(padding_value) return gen_array_ops.matrix_diag_v3( diagonal=diagonal, k=k, num_rows=num_rows, num_cols=num_cols, padding_value=padding_value, align=align, name=name) @tf_export("linalg.diag_part", v1=["linalg.diag_part", "matrix_diag_part"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("matrix_diag_part") def matrix_diag_part( input, name="diag_part", k=0, padding_value=0, align="RIGHT_LEFT"): if hasattr(input, "dtype") and input.dtype == "bool": padding_value = bool(padding_value) return gen_array_ops.matrix_diag_part_v3( input=input, k=k, padding_value=padding_value, align=align, name=name) @tf_export( "linalg.tensor_diag_part", v1=["linalg.tensor_diag_part", "diag_part"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("diag_part") def tensor_diag_part( input, name=None): return gen_array_ops.diag_part(input=input, name=name) @tf_export("linalg.set_diag", v1=["linalg.set_diag", "matrix_set_diag"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("matrix_set_diag") def matrix_set_diag( input, diagonal, name="set_diag", k=0, align="RIGHT_LEFT"): return gen_array_ops.matrix_set_diag_v3( input=input, diagonal=diagonal, k=k, align=align, name=name) def _constant_if_small(value, shape, dtype, name): try: if np.prod(shape) < 1000: return constant(value, shape=shape, dtype=dtype, name=name) except TypeError: pass return None def _tag_zeros_tensor(fun): def wrapped(*args, **kwargs): tensor = fun(*args, **kwargs) tensor._is_zeros_tensor = True return tensor return tf_decorator.make_decorator(fun, wrapped) @tf_export("zeros") @dispatch.add_dispatch_support @_tag_zeros_tensor def zeros(shape, dtype=dtypes.float32, name=None): dtype = dtypes.as_dtype(dtype).base_dtype with ops.name_scope(name, "zeros", [shape]) as name: if dtype == dtypes.bool: zero = False elif dtype == dtypes.string: zero = "" elif dtype.is_quantized: zero = np.zeros([]).astype(dtype.as_numpy_dtype) else: zero = 0 if not isinstance(shape, ops.Tensor): try: if not context.executing_eagerly(): # op to prevent serialized GraphDefs from becoming too large. output = _constant_if_small(zero, shape, dtype, name) if output is not None: return output # Go through tensor shapes to get int64-if-needed semantics shape = constant_op._tensor_shape_tensor_conversion_function( tensor_shape.TensorShape(shape)) except (TypeError, ValueError): # Happens when shape is a list with tensor elements shape = ops.convert_to_tensor(shape, dtype=dtypes.int32) if not shape._shape_tuple(): shape = reshape(shape, [-1]) # Ensure it's a vector output = fill(shape, constant(zero, dtype=dtype), name=name) assert output.dtype.base_dtype == dtype return output @tf_export(v1=["zeros_like"]) @dispatch.add_dispatch_support def zeros_like(tensor, dtype=None, name=None, optimize=True): return zeros_like_impl(tensor, dtype, name, optimize) @tf_export("zeros_like", v1=[]) @dispatch.add_dispatch_support def zeros_like_v2( input, dtype=None, name=None): return zeros_like_impl(input, dtype, name, optimize=True) @_tag_zeros_tensor def zeros_like_impl(tensor, dtype, name, optimize=True): with ops.name_scope(name, "zeros_like", [tensor]) as name: if not tensor_util.is_tf_type(tensor): tensor = ops.convert_to_tensor(tensor, name="tensor") tensor_shape = tensor.shape tensor_dtype = tensor.dtype if context.executing_eagerly(): if dtype is not None and dtype != tensor_dtype: return zeros( shape_internal(tensor, optimize=optimize), dtype=dtype, name=name) return gen_array_ops.zeros_like(tensor, name=name) if (optimize and tensor_shape.is_fully_defined() and tensor_dtype != dtypes.variant): return zeros(tensor_shape, dtype=dtype or tensor_dtype, name=name) if dtype is not None and dtype != tensor_dtype and dtype != dtypes.variant: return zeros( shape_internal(tensor, optimize=optimize), dtype=dtype, name=name) else: return gen_array_ops.zeros_like(tensor, name=name) @tf_export(v1=["ones_like"]) @dispatch.add_dispatch_support def ones_like(tensor, dtype=None, name=None, optimize=True): return ones_like_impl(tensor, dtype, name, optimize) @tf_export("ones_like", v1=[]) @dispatch.add_dispatch_support def ones_like_v2( input, dtype=None, name=None): return ones_like_impl(input, dtype, name, optimize=True) def ones_like_impl(tensor, dtype, name, optimize=True): with ops.name_scope(name, "ones_like", [tensor]) as name: tensor = ops.convert_to_tensor(tensor, name="tensor") ones_shape = shape_internal(tensor, optimize=optimize) if dtype is None: dtype = tensor.dtype ret = ones(ones_shape, dtype=dtype, name=name) if not context.executing_eagerly(): ret.set_shape(tensor.get_shape()) return ret @tf_export("ones") @dispatch.add_dispatch_support def ones(shape, dtype=dtypes.float32, name=None): dtype = dtypes.as_dtype(dtype).base_dtype with ops.name_scope(name, "ones", [shape]) as name: if dtype == dtypes.bool: one = True elif dtype.is_quantized: one = np.ones([]).astype(dtype.as_numpy_dtype) else: one = 1 if not isinstance(shape, ops.Tensor): try: if not context.executing_eagerly(): # op to prevent serialized GraphDefs from becoming too large. output = _constant_if_small(one, shape, dtype, name) if output is not None: return output # Go through tensor shapes to get int64-if-needed semantics shape = constant_op._tensor_shape_tensor_conversion_function( tensor_shape.TensorShape(shape)) except (TypeError, ValueError): # Happens when shape is a list with tensor elements shape = ops.convert_to_tensor(shape, dtype=dtypes.int32) if not shape._shape_tuple(): shape = reshape(shape, [-1]) # Ensure it's a vector output = fill(shape, constant(one, dtype=dtype), name=name) assert output.dtype.base_dtype == dtype return output @tf_export(v1=["placeholder"]) def placeholder(dtype, shape=None, name=None): if context.executing_eagerly(): raise RuntimeError("tf.placeholder() is not compatible with " "eager execution.") return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name) @tf_export(v1=["placeholder_with_default"]) def placeholder_with_default(input, shape, name=None): return gen_array_ops.placeholder_with_default(input, shape, name) @tf_export(v1=["sparse.placeholder", "sparse_placeholder"]) @deprecation.deprecated_endpoints("sparse_placeholder") def sparse_placeholder(dtype, shape=None, name=None): if context.executing_eagerly(): raise RuntimeError("`sparse_placeholder` is not compatible with " "eager execution.") shape_name = (name + "/shape") if name is not None else None default_shape_name = (name + "/shape_default") if name is not None else None if shape is None: rank = None dense_shape = placeholder(dtypes.int64, shape=[rank], name=shape_name) dense_shape_default = tensor_util.constant_value_as_shape(dense_shape) else: if isinstance(shape, ops.Tensor): rank = shape.get_shape()[0] dense_shape_default = tensor_util.constant_value_as_shape(shape) else: rank = len(shape) dense_shape_default = tensor_shape.TensorShape( tuple(None if dim == -1 else dim for dim in shape)) shape = tuple(tensor_shape.dimension_value(dim) for dim in shape) shape = tuple(-1 if dim is None else dim for dim in shape) shape = ops.convert_to_tensor( shape, dtype=dtypes.int64, name=default_shape_name) dense_shape = placeholder_with_default( shape, shape=shape.shape, name=shape_name) result = sparse_tensor.SparseTensor( values=placeholder( dtype, shape=[None], name=(name + "/values") if name is not None else None), indices=placeholder( dtypes.int64, shape=[None, rank], name=(name + "/indices") if name is not None else None), dense_shape=dense_shape) # default shape out of the placeholder. Override that # shape to be the value determined here, so partial shapes can be # propagated. result._dense_shape_default = dense_shape_default return result # pylint: enable=redefined-outer-name @tf_export("pad", v1=[]) @dispatch.add_dispatch_support def pad_v2(tensor, paddings, mode="CONSTANT", constant_values=0, name=None): return pad(tensor, paddings, mode, name, constant_values) @tf_export(v1=["pad"]) @dispatch.add_dispatch_support def pad(tensor, paddings, mode="CONSTANT", name=None, constant_values=0): # pylint: disable=invalid-name # Convert lower/mixed case to upper for NumPy compatibility # NumPy uses all lower-case modes. mode = mode.upper() if mode == "CONSTANT": # TODO(rjryan): Once the forward compatibility period (3 weeks) have passed # remove the "Pad" fallback here. if not tensor_util.is_tf_type(constant_values) and constant_values == 0: result = gen_array_ops.pad(tensor, paddings, name=name) else: result = gen_array_ops.pad_v2( tensor, paddings, constant_values, name=name) elif mode == "REFLECT": result = gen_array_ops.mirror_pad( tensor, paddings, mode="REFLECT", name=name) elif mode == "SYMMETRIC": result = gen_array_ops.mirror_pad( tensor, paddings, mode="SYMMETRIC", name=name) else: raise ValueError("Unknown padding mode: %s" % mode) # Restore shape information where possible. if not context.executing_eagerly(): paddings_constant = _get_paddings_constant(paddings) input_shape = ( tensor_shape.TensorShape(tensor.shape) if isinstance(tensor, ops.Tensor) else result.op.inputs[0].shape) if (input_shape.ndims is not None and not result.shape.is_fully_defined() and paddings_constant is not None): new_shape = [] for padding, dim in zip(paddings_constant, input_shape.as_list()): if padding is None or dim is None or any((x is None for x in padding)): new_shape.append(None) else: new_shape.append(sum(padding) + dim) result.set_shape(new_shape) return result def _get_paddings_constant(paddings): if isinstance(paddings, ops.Tensor): return tensor_util.constant_value(paddings, partial=True) elif isinstance(paddings, (list, tuple)): return [_get_paddings_constant(x) for x in paddings] else: return paddings @tf_export("meshgrid") @dispatch.add_dispatch_support def meshgrid(*args, **kwargs): indexing = kwargs.pop("indexing", "xy") name = kwargs.pop("name", "meshgrid") if kwargs: key = list(kwargs.keys())[0] raise TypeError("'{}' is an invalid keyword argument " "for this function".format(key)) if indexing not in ("xy", "ij"): raise ValueError("indexing parameter must be either 'xy' or 'ij'") with ops.name_scope(name, "meshgrid", args) as name: ndim = len(args) s0 = (1,) * ndim if not ndim: return [] # Prepare reshape by inserting dimensions with size 1 where needed output = [] for i, x in enumerate(args): output.append(reshape(stack(x), (s0[:i] + (-1,) + s0[i + 1::]))) # Create parameters for broadcasting each tensor to the full size shapes = [size(x) for x in args] output_dtype = ops.convert_to_tensor(args[0]).dtype.base_dtype if indexing == "xy" and ndim > 1: output[0] = reshape(output[0], (1, -1) + (1,) * (ndim - 2)) output[1] = reshape(output[1], (-1, 1) + (1,) * (ndim - 2)) shapes[0], shapes[1] = shapes[1], shapes[0] # TODO(nolivia): improve performance with a broadcast mult_fact = ones(shapes, output_dtype) return [x * mult_fact for x in output] NEW_AXIS = -1 SHRINK_AXIS = -2 # PEP-8 naming # pylint: disable=invalid-name,redefined-outer-name def _compute_size_of_strided_dim(shrink, spec, size): unknown = None # Document what None means here. use_full_range = None # Document other use of None. # if this is a shrink axis (i.e. a non-range index) # it either will produce an error or return 1 if shrink: return 1 if size is unknown or size.value is unknown: return unknown size = size.value stride = spec.step if stride is not unknown: if stride == 0: return unknown stride = spec.step valid_range = [0, size] if stride > 0 else [-1, size - 1] # PEP-8 naming # pylint: disable=invalid-name def canonical(x, c): if x is use_full_range: return valid_range[c] if stride > 0 else valid_range[(c + 1) & 1] else: x_fwd = size + x if x < 0 else x # make negative indices positive return max(valid_range[0], min(valid_range[1], x_fwd)) begin = canonical(spec.start, 0) end = canonical(spec.stop, 1) interval_length = end - begin if interval_length == 0 or ((interval_length < 0) != (stride < 0)): return 0 else: remainder = 1 if interval_length % stride != 0 else 0 return interval_length // stride + remainder else: return unknown # unknown because stride is unknown def _TileGradShape(op): multiples_shape = op.inputs[1].get_shape().with_rank(1) input_shape = op.inputs[0].get_shape().with_rank(multiples_shape[0]) # NOTE(mrry): Represent `multiples` as a `TensorShape` because (i) # it is a vector of non-negative integers, and (ii) doing so allows # us to handle partially-known multiples. multiples = tensor_util.constant_value_as_shape(op.inputs[1]).with_rank( input_shape.ndims) if multiples.ndims is None: return [tensor_shape.unknown_shape()] else: output_dims = [] for dim, multiple in zip(input_shape.dims, multiples.dims): output_dims.append(dim // multiple) return [tensor_shape.TensorShape(output_dims)] @tf_export("edit_distance") @dispatch.add_dispatch_support def edit_distance(hypothesis, truth, normalize=True, name="edit_distance"): if not isinstance( hypothesis, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): raise TypeError("Hypothesis must be a SparseTensor.") if not isinstance( truth, (sparse_tensor.SparseTensor, sparse_tensor.SparseTensorValue)): raise TypeError("Truth must be a SparseTensor.") return gen_array_ops.edit_distance( hypothesis.indices, hypothesis.values, hypothesis.dense_shape, truth.indices, truth.values, truth.dense_shape, normalize=normalize, name=name) @ops.RegisterGradient("FakeQuantWithMinMaxArgs") def _FakeQuantWithMinMaxArgsGradient(op, grad): return fake_quant_with_min_max_args_gradient( grad, op.inputs[0], min=op.get_attr("min"), max=op.get_attr("max"), num_bits=op.get_attr("num_bits"), narrow_range=op.get_attr("narrow_range")) @ops.RegisterGradient("FakeQuantWithMinMaxVars") def _FakeQuantWithMinMaxVarsGradient(op, grad): return fake_quant_with_min_max_vars_gradient( grad, op.inputs[0], op.inputs[1], op.inputs[2], num_bits=op.get_attr("num_bits"), narrow_range=op.get_attr("narrow_range")) @ops.RegisterGradient("FakeQuantWithMinMaxVarsPerChannel") def _FakeQuantWithMinMaxVarsPerChannelGradient(op, grad): return fake_quant_with_min_max_vars_per_channel_gradient( grad, op.inputs[0], op.inputs[1], op.inputs[2], num_bits=op.get_attr("num_bits"), narrow_range=op.get_attr("narrow_range")) @ops.RegisterGradient("QuantizeAndDequantizeV4") def _QuantizeAndDequantizeV4Grad(op, grad): return quantize_and_dequantize_v4_grad( grad, op.inputs[0], op.inputs[1], op.inputs[2], axis=op.get_attr("axis")) @ops.RegisterGradient("QuantizeAndDequantizeV4Grad") def _QuantizeAndDequantizeV4GradGrad(op, grad): return _QuantizeAndDequantizeV4Grad(op, grad) @tf_export("required_space_to_batch_paddings") def required_space_to_batch_paddings(input_shape, block_shape, base_paddings=None, name=None): with ops.name_scope(name, "required_space_to_batch_paddings", [input_shape, block_shape]): input_shape = ops.convert_to_tensor( input_shape, dtype=dtypes.int32, name="input_shape") block_shape = ops.convert_to_tensor( block_shape, dtype=dtypes.int32, name="block_shape") block_shape.get_shape().assert_is_fully_defined() block_shape.get_shape().assert_has_rank(1) num_block_dims = block_shape.get_shape().dims[0].value if num_block_dims == 0: return zeros([0, 2], dtypes.int32), zeros([0, 2], dtypes.int32) input_shape.get_shape().assert_is_compatible_with([num_block_dims]) if base_paddings is not None: base_paddings = ops.convert_to_tensor( base_paddings, dtype=dtypes.int32, name="base_paddings") base_paddings.get_shape().assert_is_compatible_with([num_block_dims, 2]) else: base_paddings = zeros([num_block_dims, 2], dtypes.int32) const_block_shape = tensor_util.constant_value(block_shape) const_input_shape = tensor_util.constant_value(input_shape) const_base_paddings = tensor_util.constant_value(base_paddings) if (const_block_shape is not None and const_input_shape is not None and const_base_paddings is not None): block_shape = const_block_shape input_shape = const_input_shape base_paddings = const_base_paddings # Use same expression for both constant and non-constant case. pad_start = base_paddings[:, 0] orig_pad_end = base_paddings[:, 1] full_input_shape = input_shape + pad_start + orig_pad_end pad_end_extra = (block_shape - full_input_shape % block_shape) % block_shape pad_end = orig_pad_end + pad_end_extra result_paddings = stack( [[pad_start[i], pad_end[i]] for i in range(num_block_dims)], name="paddings") result_crops = stack([[0, pad_end_extra[i]] for i in range(num_block_dims)], name="crops") return result_paddings, result_crops @tf_export(v1=["nn.space_to_batch", "space_to_batch"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("space_to_batch") def space_to_batch( # pylint: disable=missing-docstring input, # pylint: disable=redefined-builtin paddings, block_size=None, name=None, block_shape=None): # pylint: disable=redefined-builtin block_size = deprecation.deprecated_argument_lookup("block_shape", block_shape, "block_size", block_size) result = space_to_batch_nd( input, paddings=paddings, block_shape=np.array([block_size, block_size], dtype=np.int64), name=name) result.set_shape(result.get_shape().with_rank(4)) return result space_to_batch.__doc__ = gen_array_ops.space_to_batch.__doc__ @tf_export("space_to_batch", "nn.space_to_batch", v1=[]) @dispatch.add_dispatch_support def space_to_batch_v2(input, block_shape, paddings, name=None): # pylint: disable=redefined-builtin return space_to_batch_nd(input, block_shape, paddings, name) space_to_batch_v2.__doc__ = gen_array_ops.space_to_batch_nd.__doc__ @tf_export(v1=["nn.space_to_depth", "space_to_depth"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("space_to_depth") def space_to_depth(input, block_size, name=None, data_format="NHWC"): # pylint: disable=redefined-builtin return gen_array_ops.space_to_depth(input, block_size, data_format, name=name) space_to_depth.__doc__ = gen_array_ops.space_to_depth.__doc__ @tf_export("nn.space_to_depth", v1=[]) @dispatch.add_dispatch_support def space_to_depth_v2(input, block_size, data_format="NHWC", name=None): # pylint: disable=redefined-builtin return gen_array_ops.space_to_depth(input, block_size, data_format, name=name) space_to_depth_v2.__doc__ = gen_array_ops.space_to_depth.__doc__ @tf_export(v1=["nn.depth_to_space", "depth_to_space"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("depth_to_space") def depth_to_space(input, block_size, name=None, data_format="NHWC"): # pylint: disable=redefined-builtin return gen_array_ops.depth_to_space(input, block_size, data_format, name=name) depth_to_space.__doc__ = gen_array_ops.depth_to_space.__doc__ @tf_export("nn.depth_to_space", v1=[]) @dispatch.add_dispatch_support def depth_to_space_v2(input, block_size, data_format="NHWC", name=None): # pylint: disable=redefined-builtin return gen_array_ops.depth_to_space(input, block_size, data_format, name=name) depth_to_space_v2.__doc__ = gen_array_ops.depth_to_space.__doc__ @tf_export(v1=["batch_to_space"]) @dispatch.add_dispatch_support def batch_to_space(input, crops, block_size, name=None, block_shape=None): # pylint: disable=redefined-builtin,missing-docstring block_size = deprecation.deprecated_argument_lookup("block_shape", block_shape, "block_size", block_size) result = batch_to_space_nd( input, crops=crops, block_shape=np.array([block_size, block_size], dtype=np.int64), name=name) result.set_shape(result.get_shape().with_rank(4)) return result batch_to_space.__doc__ = gen_array_ops.batch_to_space.__doc__ @tf_export("batch_to_space", v1=[]) @dispatch.add_dispatch_support def batch_to_space_v2(input, block_shape, crops, name=None): # pylint: disable=redefined-builtin if isinstance(block_shape, int): block_shape = np.array([block_shape, block_shape], dtype=np.int64) return batch_to_space_nd( input=input, block_shape=block_shape, crops=crops, name=name) @tf_export("one_hot") @dispatch.add_dispatch_support def one_hot(indices, depth, on_value=None, off_value=None, axis=None, dtype=None, name=None): with ops.name_scope( name, "one_hot", [indices, depth, on_value, off_value, axis, dtype]) as name: on_exists = on_value is not None off_exists = off_value is not None if on_exists: on_value = ops.convert_to_tensor(on_value, dtype_hint=dtype) if off_exists: off_value = ops.convert_to_tensor(off_value, dtype_hint=dtype) on_dtype = on_value.dtype.base_dtype if on_exists else None off_dtype = off_value.dtype.base_dtype if off_exists else None if on_exists or off_exists: if dtype is not None: # Ensure provided on_value and/or off_value match dtype if on_exists and on_dtype != dtype: raise TypeError("dtype {0} of on_value does not match " "dtype parameter {1}".format(on_dtype, dtype)) if off_exists and off_dtype != dtype: raise TypeError("dtype {0} of off_value does not match " "dtype parameter {1}".format(off_dtype, dtype)) else: # dtype not provided: automatically assign it dtype = on_dtype if on_exists else off_dtype elif dtype is None: # None of on_value, off_value, or dtype provided. Default dtype to float32 dtype = dtypes.float32 if not on_exists: # on_value not provided: assign to value 1 of type dtype on_value = ops.convert_to_tensor(1, dtype, name="on_value") on_dtype = dtype if not off_exists: # off_value not provided: assign to value 0 of type dtype off_value = ops.convert_to_tensor(0, dtype, name="off_value") off_dtype = dtype if on_dtype != off_dtype: raise TypeError("dtype {0} of on_value does not match " "dtype {1} of off_value".format(on_dtype, off_dtype)) return gen_array_ops.one_hot(indices, depth, on_value, off_value, axis, name) def _all_dimensions(x): # Fast path: avoid creating Rank and Range ops if ndims is known. if isinstance(x, ops.Tensor) and x.get_shape().ndims is not None: return constant_op.constant( np.arange(x.get_shape().ndims), dtype=dtypes.int32) if (isinstance(x, sparse_tensor.SparseTensor) and x.dense_shape.get_shape().is_fully_defined()): r = x.dense_shape.get_shape().dims[0].value # sparse.dense_shape is 1-D. return constant_op.constant(np.arange(r), dtype=dtypes.int32) # Otherwise, we rely on `range` and `rank` to do the right thing at runtime. return gen_math_ops._range(0, rank(x), 1) @tf_export("sequence_mask") @dispatch.add_dispatch_support def sequence_mask(lengths, maxlen=None, dtype=dtypes.bool, name=None): with ops.name_scope(name, "SequenceMask", [lengths, maxlen]): lengths = ops.convert_to_tensor(lengths) if maxlen is None: maxlen = gen_math_ops._max(lengths, _all_dimensions(lengths)) maxlen = gen_math_ops.maximum(constant(0, maxlen.dtype), maxlen) else: maxlen = ops.convert_to_tensor(maxlen) if maxlen.get_shape().ndims is not None and maxlen.get_shape().ndims != 0: raise ValueError("maxlen must be scalar for sequence_mask") # The basic idea is to compare a range row vector of size maxlen: # [0, 1, 2, 3, 4] # to length as a matrix with 1 column: [[1], [3], [2]]. # Because of broadcasting on both arguments this comparison results # in a matrix of size (len(lengths), maxlen) row_vector = gen_math_ops._range( constant(0, maxlen.dtype), maxlen, constant(1, maxlen.dtype)) # Since maxlen >= max(lengths), it is safe to use maxlen as a cast # authoritative type. Whenever maxlen fits into tf.int32, so do the lengths. matrix = gen_math_ops.cast(expand_dims(lengths, -1), maxlen.dtype) result = row_vector < matrix if dtype is None or result.dtype.is_compatible_with(dtype): return result else: return gen_math_ops.cast(result, dtype) @tf_export(v1=["squeeze"]) @dispatch.add_dispatch_support @deprecation.deprecated_args(None, "Use the `axis` argument instead", "squeeze_dims") def squeeze(input, axis=None, name=None, squeeze_dims=None): # pylint: disable=redefined-builtin axis = deprecation.deprecated_argument_lookup("axis", axis, "squeeze_dims", squeeze_dims) if np.isscalar(axis): axis = [axis] return gen_array_ops.squeeze(input, axis, name) @tf_export("squeeze", v1=[]) @dispatch.add_dispatch_support def squeeze_v2(input, axis=None, name=None): # pylint: disable=redefined-builtin return squeeze(input, axis, name) @tf_export(v1=["where"]) @dispatch.add_dispatch_support def where(condition, x=None, y=None, name=None): if x is None and y is None: with ops.name_scope(name, "Where", [condition]) as name: condition = ops.convert_to_tensor( condition, preferred_dtype=dtypes.bool, name="condition") return gen_array_ops.where(condition=condition, name=name) elif x is not None and y is not None: return gen_math_ops.select(condition=condition, x=x, y=y, name=name) else: raise ValueError("x and y must both be non-None or both be None.") @tf_export("where", v1=["where_v2"]) @dispatch.add_dispatch_support def where_v2(condition, x=None, y=None, name=None): if x is None and y is None: with ops.name_scope(name, "Where", [condition]) as name: condition = ops.convert_to_tensor( condition, preferred_dtype=dtypes.bool, name="condition") return gen_array_ops.where(condition=condition, name=name) elif x is not None and y is not None: return gen_math_ops.select_v2(condition=condition, t=x, e=y, name=name) else: raise ValueError("x and y must both be non-None or both be None.") # pylint: disable=redefined-builtin @tf_export(v1=["reverse_sequence"]) @deprecation.deprecated_args(None, "seq_dim is deprecated, use seq_axis instead", "seq_dim") @deprecation.deprecated_args(None, "batch_dim is deprecated, use batch_axis instead", "batch_dim") def reverse_sequence(input, seq_lengths, seq_axis=None, batch_axis=None, name=None, seq_dim=None, batch_dim=None): seq_axis = deprecation.deprecated_argument_lookup("seq_axis", seq_axis, "seq_dim", seq_dim) batch_axis = deprecation.deprecated_argument_lookup("batch_axis", batch_axis, "batch_dim", batch_dim) return gen_array_ops.reverse_sequence( input=input, seq_lengths=seq_lengths, seq_dim=seq_axis, batch_dim=batch_axis, name=name) @tf_export("reverse_sequence", v1=[]) @dispatch.add_dispatch_support def reverse_sequence_v2(input, seq_lengths, seq_axis=None, batch_axis=None, name=None): return gen_array_ops.reverse_sequence( input=input, seq_lengths=seq_lengths, seq_dim=seq_axis, batch_dim=batch_axis, name=name) # pylint: enable=redefined-builtin @tf_export(v1=["gather"]) @deprecation.deprecated_args(None, ("The `validate_indices` argument has no effect. " "Indices are always validated on CPU and never " "validated on GPU."), "validate_indices") @dispatch.add_dispatch_support def gather(params, indices, validate_indices=None, name=None, axis=None, batch_dims=0): # pylint: disable=g-doc-args del validate_indices if axis is None: axis = batch_dims if tensor_util.constant_value(axis) != 0: return gen_array_ops.gather_v2( params, indices, axis, batch_dims=batch_dims, name=name) try: # TODO(apassos) find a less bad way of detecting resource variables # without introducing a circular dependency. return params.sparse_read(indices, name=name) except AttributeError: return gen_array_ops.gather_v2(params, indices, axis, name=name) @tf_export("gather", v1=[]) @dispatch.add_dispatch_support def gather_v2(params, indices, validate_indices=None, axis=None, batch_dims=0, name=None): return gather( params, indices, validate_indices=validate_indices, name=name, axis=axis, batch_dims=batch_dims) gather_v2.__doc__ = gather.__doc__ @tf_export(v1=["batch_gather"]) @dispatch.add_dispatch_support @deprecation.deprecated( "2017-10-25", "`tf.batch_gather` is deprecated, please use `tf.gather` " "with `batch_dims=-1` instead.") # pylint: disable=missing-docstring def batch_gather(params, indices, name=None): with ops.name_scope(name, "BatchGather", [params, indices]): indices = ops.convert_to_tensor(indices, name="indices") params = ops.convert_to_tensor(params, name="params") if indices.shape.ndims is None: raise ValueError( "batch_gather does not allow indices with unknown shape.") return _batch_gather(params, indices, batch_dims=indices.shape.ndims - 1) def _batch_gather(params, indices, batch_dims, axis=None): if batch_dims is not None and not isinstance(batch_dims, int): raise TypeError("batch_dims must be an int; got %r" % (batch_dims,)) indices = ops.convert_to_tensor(indices, name="indices") params = ops.convert_to_tensor(params, name="params") indices_ndims = indices.shape.ndims if indices_ndims is None: raise ValueError("tf.gather does not allow indices with unknown " "rank when batch_dims is specified.") if batch_dims is None: batch_dims = indices_ndims - 1 if batch_dims < 0: batch_dims += indices_ndims if batch_dims < 0 or batch_dims >= indices_ndims: raise ValueError("batch_dims = %d must be less than rank(indices) = %d" % (batch_dims, indices_ndims)) if params.shape.ndims is not None and batch_dims >= params.shape.ndims: raise ValueError("batch_dims = %d must be less than rank(params) = %d" % (batch_dims, params.shape.ndims)) # Handle axis by transposing the axis dimension to be the first non-batch # dimension, recursively calling batch_gather with axis=0, and then # transposing the result to put the pre-axis dimensions before the indices # dimensions. if axis is not None and axis != batch_dims: # Adjust axis to be positive. if not isinstance(axis, int): axis = tf.where(axis < 0, axis + array_ops.rank(params), axis) elif axis < 0 and params.shape.ndims is None: axis = axis + array_ops.rank(params) else: if (axis < -params.shape.ndims) or (axis >= params.shape.ndims): raise ValueError("axis (%d) out of range [%d, %d)" % (axis, -params.shape.ndims, params.shape.ndims)) if axis < 0: axis += params.shape.ndims if axis < batch_dims: raise ValueError("batch_dims = %d must be less than or equal to " "axis = %d" % (batch_dims, axis)) # Move params[axis] up to params[batch_dims]. perm = [ list(range(batch_dims)), [axis], gen_math_ops._range(batch_dims, axis, 1), gen_math_ops._range(axis + 1, rank(params), 1) ] params = transpose(params, concat(perm, axis=0)) result = _batch_gather(params, indices, batch_dims=batch_dims) # Move the result dimensions corresponding to params[batch_dims:axis] # to just before the dimensions corresponding to indices[batch_dims:]. params_start = indices_ndims + axis - batch_dims perm = [ list(range(batch_dims)), gen_math_ops._range(indices_ndims, params_start, 1), list(range(batch_dims, indices_ndims)), gen_math_ops._range(params_start, rank(result), 1) ] return transpose(result, perm=concat(perm, axis=0)) indices_shape = shape(indices) params_shape = shape(params) batch_indices = indices indices_dtype = indices.dtype.base_dtype accum_dim_value = ones((), dtype=indices_dtype) # Use correct type for offset index computation casted_params_shape = gen_math_ops.cast(params_shape, indices_dtype) for dim in range(batch_dims, 0, -1): dim_value = casted_params_shape[dim - 1] accum_dim_value *= casted_params_shape[dim] start = zeros((), dtype=indices_dtype) step = ones((), dtype=indices_dtype) dim_indices = gen_math_ops._range(start, dim_value, step) dim_indices *= accum_dim_value dim_shape = stack( [1] * (dim - 1) + [dim_value] + [1] * (indices_ndims - dim), axis=0) batch_indices += reshape(dim_indices, dim_shape) flat_indices = reshape(batch_indices, [-1]) outer_shape = params_shape[batch_dims + 1:] flat_inner_shape = gen_math_ops.prod(params_shape[:batch_dims + 1], [0], False) flat_params = reshape(params, concat([[flat_inner_shape], outer_shape], axis=0)) flat_result = gather(flat_params, flat_indices) result = reshape(flat_result, concat([indices_shape, outer_shape], axis=0)) final_shape = indices.get_shape()[:batch_dims].merge_with( params.get_shape()[:batch_dims]) final_shape = final_shape.concatenate(indices.get_shape().dims[batch_dims:]) final_shape = final_shape.concatenate(params.get_shape()[batch_dims + 1:]) result.set_shape(final_shape) return result @tf_export(v1=["gather_nd", "manip.gather_nd"]) @dispatch.add_dispatch_support @deprecated_endpoints("manip.gather_nd") def gather_nd(params, indices, name=None, batch_dims=0): batch_dims_ = tensor_util.constant_value(batch_dims) if batch_dims_ is not None: batch_dims = int(batch_dims_) if batch_dims == 0: try: # TODO(apassos) find a less bad way of detecting resource variables # without introducing a circular dependency. return params.gather_nd(indices, name=name) except AttributeError: return gen_array_ops.gather_nd(params, indices, name=name) else: return batch_gather_nd(params, indices, batch_dims=batch_dims, name=name) @tf_export("gather_nd", v1=[]) @dispatch.add_dispatch_support def gather_nd_v2(params, indices, batch_dims=0, name=None): return gather_nd(params, indices, name=name, batch_dims=batch_dims) gather_nd_v2.__doc__ = gather_nd.__doc__ def batch_gather_nd(params, indices, batch_dims, name=None): with ops.name_scope(name, "BatchGatherND", [params, indices]): indices = ops.convert_to_tensor(indices, name="indices") params = ops.convert_to_tensor(params, name="params") if not isinstance(batch_dims, int): raise TypeError("batch_dims must be an int; got %r" % (batch_dims,)) if batch_dims < 0: raise ValueError("tf.gather_nd does not allow negative batch_dims.") params_ndims = params.shape.ndims indices_ndims = indices.shape.ndims if indices_ndims is not None and batch_dims >= indices_ndims: raise ValueError("batch_dims = %d must be less than rank(indices) = %d" % (batch_dims, indices_ndims)) if params_ndims is not None and batch_dims >= params_ndims: raise ValueError("batch_dims = %d must be less than rank(params) = %d" % (batch_dims, params_ndims)) expand = batch_dims == 0 if expand: # Normally gather_nd will be called when batch_dims == 0. # But if this function is called with batch_dims = 0, e.g. for testing # purposes, this adds a dummy batch dimension to make batch_dims = 1. params = expand_dims(params, axis=0) indices = expand_dims(indices, axis=0) batch_dims = 1 params_shape = shape(params) indices_shape = shape(indices) batch_shape = params_shape[:batch_dims] batch_size = gen_math_ops.prod(batch_shape, [0]) index_internal_ndims = rank(indices) - batch_dims - 1 indices_internal_shape = indices_shape[batch_dims:-1] # Assuming a 'params' with shape [b1, ..., bM, g1, ..., gN] and an 'indices' # with shape [b1, ..., bM, i1, ..., iK, C], where C <= N, we need to modify # 'indices' s.t. it has shape [i1, ..., iK, D], where D <= M + N and slices # to the entire 'params' tensor. # Assuming we have a batch of shape [B1, B2], we use meshgrid to create a # grid of size B1 x B2. batch_dim_list = unstack(batch_shape, axis=0) dim_ranges = [ gen_math_ops.cast(gen_math_ops._range(0, x, 1), indices.dtype) for x in batch_dim_list ] mesh_list = meshgrid(*dim_ranges, indexing="ij") if dim_ranges else [] # Then we flatten and stack the tensors to form a (B1.B2) by 2 matrix. flat_list = [reshape(x, shape=(-1,)) for x in mesh_list] index_grid = transpose(stack(flat_list, axis=0)) # We need to concatenate these batch coordinates with the internal indices. # concat -> index_grid [B1.B2, 2] with indices [i1, ..., iK, C] # So we reshape them both to [(B1.B2), i1, ..., iK, *] index_grid_shape = shape(index_grid) index_grid = reshape( index_grid, concat([ index_grid_shape[:1], ones(index_internal_ndims, dtype=dtypes.int32), index_grid_shape[1:] ], axis=0)) tile_shape = concat(((1,), indices_internal_shape, (1,)), axis=0) index_grid = tile(index_grid, multiples=tile_shape) # index_grid now has shape [(B1.B2), i1, ..., iK, 2] flat_shape = concat(([batch_size], indices_shape[batch_dims:]), axis=0) flat_indices = reshape(indices, shape=flat_shape) # flat_indices now has shape [(B1.B2), i1, ..., iK, C] indices = concat((index_grid, flat_indices), axis=-1) # indices has shape [(B1.B2), i1, ..., iK, 2+C] out = gen_array_ops.gather_nd(params, indices) # out has shape [(B1.B2), i1, ..., iK, N-C]. Now we reshape batch to # its original form. out_shape = shape(out) out = reshape(out, shape=concat((batch_shape, out_shape[1:]), axis=0)) if expand: out = squeeze(out, axis=0) return out @deprecation.deprecated_endpoints("tensor_scatter_update") @tf_export( "tensor_scatter_nd_update", v1=["tensor_scatter_nd_update", "tensor_scatter_update"]) @dispatch.add_dispatch_support def tensor_scatter_nd_update(tensor, indices, updates, name=None): return gen_array_ops.tensor_scatter_update( tensor=tensor, indices=indices, updates=updates, name=name) # Define quantize_v2 here in order to make name the second-to-last attribute, # because round_mode was added later. # (And also now because of 'axis' processing). @tf_export(v1=["quantize_v2"]) @dispatch.add_dispatch_support @deprecation.deprecated( "2017-10-25", "`tf.quantize_v2` is deprecated, please use `tf.quantization.quantize` " "instead.") # pylint: disable=missing-docstring def quantize_v2( input, # pylint: disable=redefined-builtin min_range, max_range, T, mode="MIN_COMBINED", name=None, round_mode="HALF_AWAY_FROM_ZERO", narrow_range=False, axis=None, ensure_minimum_range=0.01): if axis is None: axis = -1 elif axis < 0: if input.shape.ndims is None: raise ValueError("input should have known rank to use negative axis.") axis %= input.shape.ndims if ensure_minimum_range != 0.01: return gen_array_ops.quantize_v2( input, min_range, max_range, T=T, mode=mode, name=name, round_mode=round_mode, narrow_range=narrow_range, axis=axis, ensure_minimum_range=ensure_minimum_range) return gen_array_ops.quantize_v2( input, min_range, max_range, T=T, mode=mode, name=name, round_mode=round_mode, narrow_range=narrow_range, axis=axis) quantize_v2.__doc__ = """Please use `tf.quantization.quantize` instead.""" # We want to expose tf.quantization.quantize instead of # tf.quantization.quantize; we can deprecate tf.quantization.quantize in next # version of TensorFlow. @tf_export("quantization.quantize", v1=["quantization.quantize", "quantize"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("quantize") def quantize( input, # pylint: disable=redefined-builtin min_range, max_range, T, mode="MIN_COMBINED", round_mode="HALF_AWAY_FROM_ZERO", name=None, narrow_range=False, axis=None, ensure_minimum_range=0.01): if ensure_minimum_range != 0.01: return quantize_v2( input, min_range, max_range, T, mode=mode, round_mode=round_mode, name=name, narrow_range=narrow_range, axis=axis, ensure_minimum_range=ensure_minimum_range) return quantize_v2( input, min_range, max_range, T, mode=mode, round_mode=round_mode, name=name, narrow_range=narrow_range, axis=axis) @tf_export("quantization.dequantize", v1=["quantization.dequantize", "dequantize"]) @dispatch.add_dispatch_support @deprecation.deprecated_endpoints("dequantize") def dequantize( # pylint: disable=missing-docstring input, # pylint: disable=redefined-builtin min_range, max_range, mode="MIN_COMBINED", name=None, axis=None, narrow_range=False, dtype=dtypes.float32): if axis is None: axis = -1 elif axis < 0: if input.shape.ndims is None: raise ValueError("input should have known rank to use negative axis.") axis %= input.shape.ndims if axis >= 0 or narrow_range: return gen_array_ops.dequantize( input, min_range, max_range, mode=mode, name=name, narrow_range=narrow_range, axis=axis, dtype=dtype) return gen_array_ops.dequantize( input, min_range, max_range, mode=mode, name=name, dtype=dtype) dequantize.__doc__ = gen_array_ops.dequantize.__doc__ @tf_export("quantization.quantize_and_dequantize") @dispatch.add_dispatch_support @deprecation.deprecated(None, "This Op has been deprecated, use" + "`quantize_and_dequantize_v2` instead. To " + "To simulate the V1 the behavior of " + "tf.quantization.quantize_and_dequantize(...) use " + "tf.grad_pass_through(" + "tf.quantization.quantize_and_dequantize_v2)(...).") def quantize_and_dequantize( input, # pylint: disable=redefined-builtin input_min, input_max, signed_input=True, num_bits=8, range_given=False, round_mode="HALF_TO_EVEN", name=None, narrow_range=False, axis=None): if axis is None: axis = -1 elif axis < 0: if input.shape.ndims is None: raise ValueError("input should have known rank to use negative axis.") axis %= input.shape.ndims return gen_array_ops.quantize_and_dequantize_v2( input, input_min=input_min, input_max=input_max, signed_input=signed_input, num_bits=num_bits, range_given=range_given, round_mode=round_mode, narrow_range=narrow_range, axis=axis, name=name) @tf_export("quantization.quantize_and_dequantize_v2") @dispatch.add_dispatch_support def quantize_and_dequantize_v2( input, # pylint: disable=redefined-builtin input_min, input_max, signed_input=True, num_bits=8, range_given=False, round_mode="HALF_TO_EVEN", name=None, narrow_range=False, axis=None): if axis is None: axis = -1 elif axis < 0: if input.shape.ndims is None: raise ValueError("input should have known rank to use negative axis.") axis %= input.shape.ndims return gen_array_ops.quantize_and_dequantize_v4( input, input_min=input_min, input_max=input_max, signed_input=signed_input, num_bits=num_bits, range_given=range_given, round_mode=round_mode, narrow_range=narrow_range, axis=axis, name=name) @tf_export("searchsorted") @dispatch.add_dispatch_support def searchsorted(sorted_sequence, values, side="left", out_type=dtypes.int32, name=None): sequence_size = shape_internal(sorted_sequence)[-1] values_size = shape_internal(values)[-1] sorted_sequence_2d = reshape(sorted_sequence, [-1, sequence_size]) values_2d = reshape(values, [-1, values_size]) if side == "right": output = gen_array_ops.upper_bound(sorted_sequence_2d, values_2d, out_type, name) elif side == "left": output = gen_array_ops.lower_bound(sorted_sequence_2d, values_2d, out_type, name) else: raise ValueError("side must be either 'right' or 'left'. Saw: %s." % side) return reshape(output, shape_internal(values)) quantize.__doc__ = gen_array_ops.quantize_v2.__doc__ @tf_export("image.extract_patches") @dispatch.add_dispatch_support def extract_image_patches_v2(images, sizes, strides, rates, padding, name=None): return gen_array_ops.extract_image_patches(images, sizes, strides, rates, padding, name) @tf_export(v1=["image.extract_image_patches", "extract_image_patches"]) @dispatch.add_dispatch_support @deprecation.deprecated_args(None, "ksizes is deprecated, use sizes instead", "ksizes") def extract_image_patches( # pylint: disable=missing-docstring images, ksizes=None, strides=None, rates=None, padding=None, name=None, sizes=None): ksizes = deprecation.deprecated_argument_lookup("sizes", sizes, "ksizes", ksizes) return gen_array_ops.extract_image_patches(images, ksizes, strides, rates, padding, name) extract_image_patches.__doc__ = gen_array_ops.extract_image_patches.__doc__ @tf_export("fingerprint") @dispatch.add_dispatch_support def fingerprint(data, method="farmhash64", name=None): return gen_array_ops.fingerprint(data, method, name) def convert_to_int_tensor(tensor, name, dtype=dtypes.int32): tensor = ops.convert_to_tensor(tensor, name=name, preferred_dtype=dtype) if tensor.dtype.is_integer: tensor = gen_math_ops.cast(tensor, dtype) else: raise TypeError("%s must be an integer tensor; dtype=%s" % (name, tensor.dtype)) return tensor def get_positive_axis(axis, ndims, axis_name="axis", ndims_name="ndims"): if not isinstance(axis, int): raise TypeError("%s must be an int; got %s" % (axis_name, type(axis).__name__)) if ndims is not None: if 0 <= axis < ndims: return axis elif -ndims <= axis < 0: return axis + ndims else: raise ValueError("%s=%s out of bounds: expected %s<=%s<%s" % (axis_name, axis, -ndims, axis_name, ndims)) elif axis < 0: raise ValueError("%s may only be negative if %s is statically known." % (axis_name, ndims_name)) return axis # This op is intended to exactly match the semantics of numpy.repeat, with # one exception: numpy.repeat has special (and somewhat non-intuitive) behavior # when axis is not specified. Rather than implement that special behavior, we # simply make `axis` be a required argument. # # External (OSS) `tf.repeat` feature request: # https://github.com/tensorflow/tensorflow/issues/8246 def repeat_with_axis(data, repeats, axis, name=None): if not isinstance(axis, int): raise TypeError("axis must be an int; got %s" % type(axis).__name__) with ops.name_scope(name, "Repeat", [data, repeats]): data = ops.convert_to_tensor(data, name="data") repeats = convert_to_int_tensor(repeats, name="repeats") repeats.shape.with_rank_at_most(1) # If `data` is a scalar, then upgrade it to a vector. data = _with_nonzero_rank(data) data_shape = shape(data) # If `axis` is negative, then convert it to a positive value. axis = get_positive_axis(axis, data.shape.rank, ndims_name="rank(data)") # If we know that `repeats` is a scalar, then we can just tile & reshape. if repeats.shape.num_elements() == 1: repeats = reshape(repeats, []) expanded = expand_dims(data, axis + 1) tiled = tile_one_dimension(expanded, axis + 1, repeats) result_shape = concat([ data_shape[:axis], [repeats * data_shape[axis]], data_shape[axis + 1:] ], axis=0) return reshape(tiled, result_shape) # Check data Tensor shapes. if repeats.shape.ndims == 1: data.shape.dims[axis].assert_is_compatible_with(repeats.shape[0]) repeats = broadcast_to(repeats, [data_shape[axis]]) repeats_original = repeats # Broadcast the `repeats` tensor so rank(repeats) == axis + 1. if repeats.shape.ndims != axis + 1: repeats_shape = shape(repeats) repeats_ndims = rank(repeats) broadcast_shape = concat( [data_shape[:axis + 1 - repeats_ndims], repeats_shape], axis=0) repeats = broadcast_to(repeats, broadcast_shape) repeats.set_shape([None] * (axis + 1)) # Create a "sequence mask" based on `repeats`, where slices across `axis` # contain one `True` value for each repetition. E.g., if # `repeats = [3, 1, 2]`, then `mask = [[1, 1, 1], [1, 0, 0], [1, 1, 0]]`. max_repeat = gen_math_ops.maximum( 0, gen_math_ops._max(repeats, _all_dimensions(repeats))) mask = sequence_mask(repeats, max_repeat) # Add a new dimension around each value that needs to be repeated, and # then tile that new dimension to match the maximum number of repetitions. expanded = expand_dims(data, axis + 1) tiled = tile_one_dimension(expanded, axis + 1, max_repeat) # Use `boolean_mask` to discard the extra repeated values. This also # flattens all dimensions up through `axis`. masked = boolean_mask(tiled, mask) # Reshape the output tensor to add the outer dimensions back. if axis == 0: result = masked else: repeated_dim_size = gen_math_ops._sum( repeats_original, axis=gen_math_ops._range(0, rank(repeats_original), 1)) result_shape = concat( [data_shape[:axis], [repeated_dim_size], data_shape[axis + 1:]], axis=0) result = reshape(masked, result_shape) # Preserve shape information. if data.shape.ndims is not None: new_axis_size = 0 if repeats.shape[0] == 0 else None result.set_shape(data.shape[:axis].concatenate( [new_axis_size]).concatenate(data.shape[axis + 1:])) return result def tile_one_dimension(data, axis, multiple): # Assumes axis is a nonnegative int. if data.shape.ndims is not None: multiples = [1] * data.shape.ndims multiples[axis] = multiple else: ones_value = ones(rank(data), dtypes.int32) multiples = concat([ones_value[:axis], [multiple], ones_value[axis + 1:]], axis=0) return tile(data, multiples) def _with_nonzero_rank(data): if data.shape.ndims is not None: if data.shape.ndims == 0: return stack([data]) else: return data else: data_shape = shape(data) data_ndims = rank(data) return reshape(data, concat([[1], data_shape], axis=0)[-data_ndims:]) @tf_export("repeat") @dispatch.add_dispatch_support def repeat(input, repeats, axis=None, name=None): # pylint: disable=redefined-builtin if axis is None: input = reshape(input, [-1]) axis = 0 return repeat_with_axis(input, repeats, axis, name)

true

f7fc32e223ad737864a32233470338419ae91dc7

2,416

py

Python

django/contrib/auth/tests/tokens.py

yarko/django

90b6240c8753ece3e52cafc37e1088b0646b843f

[ "BSD-3-Clause" ]

1

2017-07-08T06:24:07.000Z

django/contrib/auth/tests/tokens.py

cheshire/django

d9c4eacbd95f6a02e67f669f294da2dc8967a630

[ "BSD-3-Clause" ]

null

django/contrib/auth/tests/tokens.py

cheshire/django

d9c4eacbd95f6a02e67f669f294da2dc8967a630

[ "BSD-3-Clause" ]

1

2020-07-15T05:01:00.000Z

from datetime import date, timedelta from django.conf import settings from django.contrib.auth.models import User from django.contrib.auth.tokens import PasswordResetTokenGenerator from django.test import TestCase class TokenGeneratorTest(TestCase): def test_make_token(self): """ Ensure that we can make a token and that it is valid """ user = User.objects.create_user('tokentestuser', 'test2@example.com', 'testpw') p0 = PasswordResetTokenGenerator() tk1 = p0.make_token(user) self.assertTrue(p0.check_token(user, tk1)) def test_10265(self): """ Ensure that the token generated for a user created in the same request will work correctly. """ # See ticket #10265 user = User.objects.create_user('comebackkid', 'test3@example.com', 'testpw') p0 = PasswordResetTokenGenerator() tk1 = p0.make_token(user) reload = User.objects.get(username='comebackkid') tk2 = p0.make_token(reload) self.assertEqual(tk1, tk2) def test_timeout(self): """ Ensure we can use the token after n days, but no greater. """ # Uses a mocked version of PasswordResetTokenGenerator so we can change # the value of 'today' class Mocked(PasswordResetTokenGenerator): def __init__(self, today): self._today_val = today def _today(self): return self._today_val user = User.objects.create_user('tokentestuser', 'test2@example.com', 'testpw') p0 = PasswordResetTokenGenerator() tk1 = p0.make_token(user) p1 = Mocked(date.today() + timedelta(settings.PASSWORD_RESET_TIMEOUT_DAYS)) self.assertTrue(p1.check_token(user, tk1)) p2 = Mocked(date.today() + timedelta(settings.PASSWORD_RESET_TIMEOUT_DAYS + 1)) self.assertFalse(p2.check_token(user, tk1)) def test_date_length(self): """ Make sure we don't allow overly long dates, causing a potential DoS. """ user = User.objects.create_user('ima1337h4x0r', 'test4@example.com', 'p4ssw0rd') p0 = PasswordResetTokenGenerator() # This will put a 14-digit base36 timestamp into the token, which is too large. tk1 = p0._make_token_with_timestamp(user, 175455491841851871349) self.assertFalse(p0.check_token(user, tk1))

37.75

88

0.653974

from datetime import date, timedelta from django.conf import settings from django.contrib.auth.models import User from django.contrib.auth.tokens import PasswordResetTokenGenerator from django.test import TestCase class TokenGeneratorTest(TestCase): def test_make_token(self): user = User.objects.create_user('tokentestuser', 'test2@example.com', 'testpw') p0 = PasswordResetTokenGenerator() tk1 = p0.make_token(user) self.assertTrue(p0.check_token(user, tk1)) def test_10265(self): user = User.objects.create_user('comebackkid', 'test3@example.com', 'testpw') p0 = PasswordResetTokenGenerator() tk1 = p0.make_token(user) reload = User.objects.get(username='comebackkid') tk2 = p0.make_token(reload) self.assertEqual(tk1, tk2) def test_timeout(self): class Mocked(PasswordResetTokenGenerator): def __init__(self, today): self._today_val = today def _today(self): return self._today_val user = User.objects.create_user('tokentestuser', 'test2@example.com', 'testpw') p0 = PasswordResetTokenGenerator() tk1 = p0.make_token(user) p1 = Mocked(date.today() + timedelta(settings.PASSWORD_RESET_TIMEOUT_DAYS)) self.assertTrue(p1.check_token(user, tk1)) p2 = Mocked(date.today() + timedelta(settings.PASSWORD_RESET_TIMEOUT_DAYS + 1)) self.assertFalse(p2.check_token(user, tk1)) def test_date_length(self): user = User.objects.create_user('ima1337h4x0r', 'test4@example.com', 'p4ssw0rd') p0 = PasswordResetTokenGenerator() tk1 = p0._make_token_with_timestamp(user, 175455491841851871349) self.assertFalse(p0.check_token(user, tk1))

true

f7fc3330d9ebd2b4324f1f7e70209a48f5d391e8

366

py

Python

leetcode/python/532_kdiff_pairs_in_array.py

VVKot/leetcode-solutions

7d6e599b223d89a7861929190be715d3b3604fa4

[ "MIT" ]

4

2019-04-22T11:57:36.000Z

2019-10-29T09:12:56.000Z

leetcode/python/532_kdiff_pairs_in_array.py

VVKot/coding-competitions

7d6e599b223d89a7861929190be715d3b3604fa4

[ "MIT" ]

null

leetcode/python/532_kdiff_pairs_in_array.py

VVKot/coding-competitions

7d6e599b223d89a7861929190be715d3b3604fa4

[ "MIT" ]

null

from typing import List from collections import Counter class Solution: def findPairs(self, nums: List[int], k: int) -> int: c = Counter(nums) result = 0 for num, count in c.items(): if k > 0 and num + k in c: result += 1 if not k and count > 1: result += 1 return result

24.4

56

0.513661

from typing import List from collections import Counter class Solution: def findPairs(self, nums: List[int], k: int) -> int: c = Counter(nums) result = 0 for num, count in c.items(): if k > 0 and num + k in c: result += 1 if not k and count > 1: result += 1 return result

true

f7fc3380220316796571eab25ed36babac4f33ab

45,342

py

Python

smartrecruiters_python_client/apis/users_api.py

roksela/smartrecruiters-python-client

6d0849d173a3d6718b5f0769098f4c76857f637d

[ "MIT" ]

5

2018-03-27T08:20:13.000Z

2022-03-30T06:23:38.000Z

smartrecruiters_python_client/apis/users_api.py

roksela/smartrecruiters-python-client

6d0849d173a3d6718b5f0769098f4c76857f637d

[ "MIT" ]

null

smartrecruiters_python_client/apis/users_api.py

roksela/smartrecruiters-python-client

6d0849d173a3d6718b5f0769098f4c76857f637d

[ "MIT" ]

2

2018-12-05T04:48:37.000Z

2020-12-17T12:12:12.000Z

# coding: utf-8 """ Unofficial python library for the SmartRecruiters API The SmartRecruiters API provides a platform to integrate services or applications, build apps and create fully customizable career sites. It exposes SmartRecruiters functionality and allows to connect and build software enhancing it. OpenAPI spec version: 1 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class UsersApi(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def users_activation_activate(self, id, **kwargs): """ Activate a user Activate a user with given id. Users created via an API are not active. This method allows activating a user so he/she can sign in straight away. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_activation_activate(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_activation_activate_with_http_info(id, **kwargs) else: (data) = self.users_activation_activate_with_http_info(id, **kwargs) return data def users_activation_activate_with_http_info(self, id, **kwargs): """ Activate a user Activate a user with given id. Users created via an API are not active. This method allows activating a user so he/she can sign in straight away. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_activation_activate_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_activation_activate" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_activation_activate`") collection_formats = {} resource_path = '/users/{id}/activation'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_activation_deactivate(self, id, **kwargs): """ Deactivate a user This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_activation_deactivate(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_activation_deactivate_with_http_info(id, **kwargs) else: (data) = self.users_activation_deactivate_with_http_info(id, **kwargs) return data def users_activation_deactivate_with_http_info(self, id, **kwargs): """ Deactivate a user This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_activation_deactivate_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_activation_deactivate" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_activation_deactivate`") collection_formats = {} resource_path = '/users/{id}/activation'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_activation_delete(self, id, **kwargs): """ Deactivate a user Deactivates a User with given Id. Please use `DELETE /users/{id}/activation` instead. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_activation_delete(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_activation_delete_with_http_info(id, **kwargs) else: (data) = self.users_activation_delete_with_http_info(id, **kwargs) return data def users_activation_delete_with_http_info(self, id, **kwargs): """ Deactivate a user Deactivates a User with given Id. Please use `DELETE /users/{id}/activation` instead. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_activation_delete_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_activation_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_activation_delete`") collection_formats = {} resource_path = '/users/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_activation_email_send(self, id, **kwargs): """ Send an activation email to a user Send an activation email to a user with given id. Users created via an API are not active. This method is an alternative to activating a user directly and allows sending an activation email in which a user will have to open a link and follow instructions on a screen to activate his/her account. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_activation_email_send(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_activation_email_send_with_http_info(id, **kwargs) else: (data) = self.users_activation_email_send_with_http_info(id, **kwargs) return data def users_activation_email_send_with_http_info(self, id, **kwargs): """ Send an activation email to a user Send an activation email to a user with given id. Users created via an API are not active. This method is an alternative to activating a user directly and allows sending an activation email in which a user will have to open a link and follow instructions on a screen to activate his/her account. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_activation_email_send_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_activation_email_send" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_activation_email_send`") collection_formats = {} resource_path = '/users/{id}/activation-email'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_all(self, **kwargs): """ List users of your company This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_all(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str q: full-text search query based on firstName, lastName, email :param int limit: number of elements to return. max value is 100 :param int offset: number of elements to skip while processing result :param datetime updated_after: ISO8601-formatted time boundaries for the user update time, Format: yyyy-MM-ddTHH:mm:ss.SSSZZ :return: Users If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_all_with_http_info(**kwargs) else: (data) = self.users_all_with_http_info(**kwargs) return data def users_all_with_http_info(self, **kwargs): """ List users of your company This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_all_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str q: full-text search query based on firstName, lastName, email :param int limit: number of elements to return. max value is 100 :param int offset: number of elements to skip while processing result :param datetime updated_after: ISO8601-formatted time boundaries for the user update time, Format: yyyy-MM-ddTHH:mm:ss.SSSZZ :return: Users If the method is called asynchronously, returns the request thread. """ all_params = ['q', 'limit', 'offset', 'updated_after'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_all" % key ) params[key] = val del params['kwargs'] if 'q' in params and len(params['q']) < 3: raise ValueError("Invalid value for parameter `q` when calling `users_all`, length must be greater than or equal to `3`") if 'limit' in params and params['limit'] > 100: raise ValueError("Invalid value for parameter `limit` when calling `users_all`, must be a value less than or equal to `100`") if 'limit' in params and params['limit'] < 1: raise ValueError("Invalid value for parameter `limit` when calling `users_all`, must be a value greater than or equal to `1`") if 'offset' in params and params['offset'] < 0: raise ValueError("Invalid value for parameter `offset` when calling `users_all`, must be a value greater than or equal to `0`") collection_formats = {} resource_path = '/users'.replace('{format}', 'json') path_params = {} query_params = {} if 'q' in params: query_params['q'] = params['q'] if 'limit' in params: query_params['limit'] = params['limit'] if 'offset' in params: query_params['offset'] = params['offset'] if 'updated_after' in params: query_params['updatedAfter'] = params['updated_after'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Users', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_avatar_update(self, id, file, **kwargs): """ Update user avatar This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_avatar_update(id, file, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of an user (required) :param file file: The file to upload. (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_avatar_update_with_http_info(id, file, **kwargs) else: (data) = self.users_avatar_update_with_http_info(id, file, **kwargs) return data def users_avatar_update_with_http_info(self, id, file, **kwargs): """ Update user avatar This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_avatar_update_with_http_info(id, file, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of an user (required) :param file file: The file to upload. (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'file'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_avatar_update" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_avatar_update`") # verify the required parameter 'file' is set if ('file' not in params) or (params['file'] is None): raise ValueError("Missing the required parameter `file` when calling `users_avatar_update`") collection_formats = {} resource_path = '/users/{id}/avatar'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} if 'file' in params: local_var_files['file'] = params['file'] body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['multipart/form-data']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_create(self, **kwargs): """ Create a new user. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_create(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param NewUser user: User object to be created :return: UserEntity If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_create_with_http_info(**kwargs) else: (data) = self.users_create_with_http_info(**kwargs) return data def users_create_with_http_info(self, **kwargs): """ Create a new user. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_create_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param NewUser user: User object to be created :return: UserEntity If the method is called asynchronously, returns the request thread. """ all_params = ['user'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_create" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/users'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'user' in params: body_params = params['user'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserEntity', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_get(self, id, **kwargs): """ Get details of a user with given id This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: UserEntity If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_get_with_http_info(id, **kwargs) else: (data) = self.users_get_with_http_info(id, **kwargs) return data def users_get_with_http_info(self, id, **kwargs): """ Get details of a user with given id This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of a user (required) :return: UserEntity If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_get`") collection_formats = {} resource_path = '/users/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserEntity', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_me(self, **kwargs): """ Get details of my user This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_me(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: UserEntity If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_me_with_http_info(**kwargs) else: (data) = self.users_me_with_http_info(**kwargs) return data def users_me_with_http_info(self, **kwargs): """ Get details of my user This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_me_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: UserEntity If the method is called asynchronously, returns the request thread. """ all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_me" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/users/me'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserEntity', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_update(self, id, **kwargs): """ Update a user This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_update(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of an user (required) :param JSONPatch json_patch: patch request :return: UserEntity If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_update_with_http_info(id, **kwargs) else: (data) = self.users_update_with_http_info(id, **kwargs) return data def users_update_with_http_info(self, id, **kwargs): """ Update a user This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.users_update_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Identifier of an user (required) :param JSONPatch json_patch: patch request :return: UserEntity If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'json_patch'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_update" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_update`") collection_formats = {} resource_path = '/users/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'json_patch' in params: body_params = params['json_patch'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json-patch+json']) # Authentication setting auth_settings = ['key'] return self.api_client.call_api(resource_path, 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserEntity', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

41.712971

304

0.559812

from __future__ import absolute_import import sys import os import re from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class UsersApi(object): def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def users_activation_activate(self, id, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_activation_activate_with_http_info(id, **kwargs) else: (data) = self.users_activation_activate_with_http_info(id, **kwargs) return data def users_activation_activate_with_http_info(self, id, **kwargs): all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_activation_activate" % key ) params[key] = val del params['kwargs'] if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_activation_activate`") collection_formats = {} resource_path = '/users/{id}/activation'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_activation_deactivate(self, id, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_activation_deactivate_with_http_info(id, **kwargs) else: (data) = self.users_activation_deactivate_with_http_info(id, **kwargs) return data def users_activation_deactivate_with_http_info(self, id, **kwargs): all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_activation_deactivate" % key ) params[key] = val del params['kwargs'] if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_activation_deactivate`") collection_formats = {} resource_path = '/users/{id}/activation'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_activation_delete(self, id, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_activation_delete_with_http_info(id, **kwargs) else: (data) = self.users_activation_delete_with_http_info(id, **kwargs) return data def users_activation_delete_with_http_info(self, id, **kwargs): all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_activation_delete" % key ) params[key] = val del params['kwargs'] if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_activation_delete`") collection_formats = {} resource_path = '/users/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_activation_email_send(self, id, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_activation_email_send_with_http_info(id, **kwargs) else: (data) = self.users_activation_email_send_with_http_info(id, **kwargs) return data def users_activation_email_send_with_http_info(self, id, **kwargs): all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_activation_email_send" % key ) params[key] = val del params['kwargs'] if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_activation_email_send`") collection_formats = {} resource_path = '/users/{id}/activation-email'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_all(self, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_all_with_http_info(**kwargs) else: (data) = self.users_all_with_http_info(**kwargs) return data def users_all_with_http_info(self, **kwargs): all_params = ['q', 'limit', 'offset', 'updated_after'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_all" % key ) params[key] = val del params['kwargs'] if 'q' in params and len(params['q']) < 3: raise ValueError("Invalid value for parameter `q` when calling `users_all`, length must be greater than or equal to `3`") if 'limit' in params and params['limit'] > 100: raise ValueError("Invalid value for parameter `limit` when calling `users_all`, must be a value less than or equal to `100`") if 'limit' in params and params['limit'] < 1: raise ValueError("Invalid value for parameter `limit` when calling `users_all`, must be a value greater than or equal to `1`") if 'offset' in params and params['offset'] < 0: raise ValueError("Invalid value for parameter `offset` when calling `users_all`, must be a value greater than or equal to `0`") collection_formats = {} resource_path = '/users'.replace('{format}', 'json') path_params = {} query_params = {} if 'q' in params: query_params['q'] = params['q'] if 'limit' in params: query_params['limit'] = params['limit'] if 'offset' in params: query_params['offset'] = params['offset'] if 'updated_after' in params: query_params['updatedAfter'] = params['updated_after'] header_params = {} form_params = [] local_var_files = {} body_params = None header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Users', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_avatar_update(self, id, file, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_avatar_update_with_http_info(id, file, **kwargs) else: (data) = self.users_avatar_update_with_http_info(id, file, **kwargs) return data def users_avatar_update_with_http_info(self, id, file, **kwargs): all_params = ['id', 'file'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_avatar_update" % key ) params[key] = val del params['kwargs'] if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_avatar_update`") if ('file' not in params) or (params['file'] is None): raise ValueError("Missing the required parameter `file` when calling `users_avatar_update`") collection_formats = {} resource_path = '/users/{id}/avatar'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} if 'file' in params: local_var_files['file'] = params['file'] body_params = None header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) header_params['Content-Type'] = self.api_client.\ select_header_content_type(['multipart/form-data']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_create(self, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_create_with_http_info(**kwargs) else: (data) = self.users_create_with_http_info(**kwargs) return data def users_create_with_http_info(self, **kwargs): all_params = ['user'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_create" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/users'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'user' in params: body_params = params['user'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserEntity', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_get(self, id, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_get_with_http_info(id, **kwargs) else: (data) = self.users_get_with_http_info(id, **kwargs) return data def users_get_with_http_info(self, id, **kwargs): all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_get" % key ) params[key] = val del params['kwargs'] if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_get`") collection_formats = {} resource_path = '/users/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserEntity', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_me(self, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_me_with_http_info(**kwargs) else: (data) = self.users_me_with_http_info(**kwargs) return data def users_me_with_http_info(self, **kwargs): all_params = [] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_me" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/users/me'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserEntity', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def users_update(self, id, **kwargs): kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.users_update_with_http_info(id, **kwargs) else: (data) = self.users_update_with_http_info(id, **kwargs) return data def users_update_with_http_info(self, id, **kwargs): all_params = ['id', 'json_patch'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method users_update" % key ) params[key] = val del params['kwargs'] if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `users_update`") collection_formats = {} resource_path = '/users/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'json_patch' in params: body_params = params['json_patch'] header_params['Accept'] = self.api_client.\ select_header_accept(['application/json; charset=utf-8']) header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json-patch+json']) auth_settings = ['key'] return self.api_client.call_api(resource_path, 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UserEntity', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

true

f7fc33be9533753dea8849dd89f0b209320f0bb8

5,056

py

Python

get_samples.py

JanRocketMan/regression-prior-networks

3c8ffa758ee6eaa15b8afe31ac1c03f87bbf6a14

[ "MIT" ]

24

2020-06-23T07:25:49.000Z

2022-03-10T12:34:29.000Z

get_samples.py

JanRocketMan/regression-prior-networks

3c8ffa758ee6eaa15b8afe31ac1c03f87bbf6a14

[ "MIT" ]

1

2022-02-11T11:18:28.000Z

get_samples.py

JanRocketMan/regression-prior-networks

3c8ffa758ee6eaa15b8afe31ac1c03f87bbf6a14

[ "MIT" ]

2

2020-11-11T16:57:54.000Z

2022-02-11T11:19:27.000Z

from argparse import ArgumentParser import numpy as np import seaborn as sns from PIL import Image import matplotlib.pyplot as plt import torch from torchvision.transforms import ToTensor, Resize, ToPILImage from evaluation.show_examples import show_model_examples from utils.data_loading import load_test_data, getTrainingEvalDataKITTI from evaluation.ood_testing import load_ood_data, load_ood_data_kitti from utils.model_utils import load_unet_model_from_checkpoint from utils.viz_utils import get_example_figure, get_tensor_with_histograms if __name__ == '__main__': parser = ArgumentParser( description='Evaluation of trained \ Monocular Depth Estimation model on Nyu Depth v2' ) parser.add_argument('--data_path', default='data') parser.add_argument( '--data_type', default='nyu', choices=['nyu', 'kitti', 'lsun'] ) parser.add_argument( '--gaussian_checkpoints', default=[ 'checkpoints/dense_depth_gaussian/' + str(i + 1) + '/19.ckpt' for i in range(5) ], nargs='+' ) parser.add_argument( '--endd_checkpoint', default='checkpoints/dense_depth_endd/1/21.ckpt' ) parser.add_argument( '--indices', default=[20, 57, 71, 102, 106, 121, 270, 435, 466, 491], nargs='+' ) parser.add_argument('--backbone', default='densenet169', choices=[ 'resnet18', 'densenet169' ]) parser.add_argument('--bs', type=int, default=6) parser.add_argument( '--models', default=['gaussian', 'gaussian-ensemble', 'nw_prior'], nargs='+' ) parser.add_argument('--targets_transform', default='scaled', choices=[ 'inverse', 'scaled' ]) parser.add_argument( '--measures', default=['total_variance', 'expected_pairwise_kl'], nargs='+', help='Uncertainty measures to visualize' ) parser.add_argument('--device', default='cuda:0') parser.add_argument('--trainmodel', default='nyu', choices=['nyu', 'kitti']) parser.add_argument('--kitti_csv_test', default='none', type=str) args = parser.parse_args() all_indices = [int(idx) for idx in args.indices] if args.data_type == 'nyu' and args.trainmodel == 'nyu': rgb, depth, crop = load_test_data(args.data_path) elif args.trainmodel == 'nyu': rgb = load_ood_data(args.data_path, args.data_type) depth, crop = None, None elif args.data_type == 'kitti': _, test_loader = getTrainingEvalDataKITTI( path_to_kitti=args.data_path, path_to_csv_train=args.kitti_csv_test, path_to_csv_val=args.kitti_csv_test, batch_size=args.bs, resize_depth=False ) rgb, depth = [], [] for data in test_loader: rgb.append(data['image']) depth.append(data['depth']) rgb, depth = torch.cat(rgb), torch.cat(depth) rgb = rgb.permute((0, 2, 3, 1)).numpy() * 255.0 depth = depth.squeeze().numpy() else: rgb = load_ood_data_kitti(args.data_path, itype=args.data_type) depth = None max_limits = None all_results = {} checkpoints = { 'gaussian': [args.gaussian_checkpoints[2]], 'gaussian-ensemble': args.gaussian_checkpoints, 'nw_prior': [args.endd_checkpoint] } for model_type in args.models: model = load_unet_model_from_checkpoint( checkpoints[model_type], model_type, args.backbone, args.device ) if model_type == 'gaussian': results = show_model_examples( model, rgb, depth, all_indices, ['variance'], args.targets_transform, args.device, trainmodel=args.trainmodel ) max_limits = results[-1] else: results = show_model_examples( model, rgb, depth, all_indices, args.measures, args.targets_transform, args.device, (None if 'gaussian' in model_type else max_limits) ) if 'gaussian' in model_type: max_limits = results[-1] all_results[model_type] = results model_names = ['gaussian', 'gaussian-ensemble', 'nw_prior'] plot_names = ['Single', 'ENSM', 'EnD$^2$'] all_hists = get_tensor_with_histograms( all_results, plot_names, model_names ) for i, idx in enumerate(args.indices): ensm_data, endd_data = [[ all_results[model_n][0][i], all_results[model_n][2][i] ] + [ all_results[model_n][3][measure][i] for measure in args.measures ] for model_n in ['gaussian-ensemble', 'nw_prior']] figure = get_example_figure( ensm_data, endd_data, all_hists[i*4:i*4+4], ispred=(args.trainmodel == args.data_type) ) figure.savefig( 'temp_plots/example_' + args.data_type + '_' + str(idx) + '.png', dpi=300, bbox_inches='tight' ) plt.clf()

36.114286

80

0.614517

from argparse import ArgumentParser import numpy as np import seaborn as sns from PIL import Image import matplotlib.pyplot as plt import torch from torchvision.transforms import ToTensor, Resize, ToPILImage from evaluation.show_examples import show_model_examples from utils.data_loading import load_test_data, getTrainingEvalDataKITTI from evaluation.ood_testing import load_ood_data, load_ood_data_kitti from utils.model_utils import load_unet_model_from_checkpoint from utils.viz_utils import get_example_figure, get_tensor_with_histograms if __name__ == '__main__': parser = ArgumentParser( description='Evaluation of trained \ Monocular Depth Estimation model on Nyu Depth v2' ) parser.add_argument('--data_path', default='data') parser.add_argument( '--data_type', default='nyu', choices=['nyu', 'kitti', 'lsun'] ) parser.add_argument( '--gaussian_checkpoints', default=[ 'checkpoints/dense_depth_gaussian/' + str(i + 1) + '/19.ckpt' for i in range(5) ], nargs='+' ) parser.add_argument( '--endd_checkpoint', default='checkpoints/dense_depth_endd/1/21.ckpt' ) parser.add_argument( '--indices', default=[20, 57, 71, 102, 106, 121, 270, 435, 466, 491], nargs='+' ) parser.add_argument('--backbone', default='densenet169', choices=[ 'resnet18', 'densenet169' ]) parser.add_argument('--bs', type=int, default=6) parser.add_argument( '--models', default=['gaussian', 'gaussian-ensemble', 'nw_prior'], nargs='+' ) parser.add_argument('--targets_transform', default='scaled', choices=[ 'inverse', 'scaled' ]) parser.add_argument( '--measures', default=['total_variance', 'expected_pairwise_kl'], nargs='+', help='Uncertainty measures to visualize' ) parser.add_argument('--device', default='cuda:0') parser.add_argument('--trainmodel', default='nyu', choices=['nyu', 'kitti']) parser.add_argument('--kitti_csv_test', default='none', type=str) args = parser.parse_args() all_indices = [int(idx) for idx in args.indices] if args.data_type == 'nyu' and args.trainmodel == 'nyu': rgb, depth, crop = load_test_data(args.data_path) elif args.trainmodel == 'nyu': rgb = load_ood_data(args.data_path, args.data_type) depth, crop = None, None elif args.data_type == 'kitti': _, test_loader = getTrainingEvalDataKITTI( path_to_kitti=args.data_path, path_to_csv_train=args.kitti_csv_test, path_to_csv_val=args.kitti_csv_test, batch_size=args.bs, resize_depth=False ) rgb, depth = [], [] for data in test_loader: rgb.append(data['image']) depth.append(data['depth']) rgb, depth = torch.cat(rgb), torch.cat(depth) rgb = rgb.permute((0, 2, 3, 1)).numpy() * 255.0 depth = depth.squeeze().numpy() else: rgb = load_ood_data_kitti(args.data_path, itype=args.data_type) depth = None max_limits = None all_results = {} checkpoints = { 'gaussian': [args.gaussian_checkpoints[2]], 'gaussian-ensemble': args.gaussian_checkpoints, 'nw_prior': [args.endd_checkpoint] } for model_type in args.models: model = load_unet_model_from_checkpoint( checkpoints[model_type], model_type, args.backbone, args.device ) if model_type == 'gaussian': results = show_model_examples( model, rgb, depth, all_indices, ['variance'], args.targets_transform, args.device, trainmodel=args.trainmodel ) max_limits = results[-1] else: results = show_model_examples( model, rgb, depth, all_indices, args.measures, args.targets_transform, args.device, (None if 'gaussian' in model_type else max_limits) ) if 'gaussian' in model_type: max_limits = results[-1] all_results[model_type] = results model_names = ['gaussian', 'gaussian-ensemble', 'nw_prior'] plot_names = ['Single', 'ENSM', 'EnD$^2$'] all_hists = get_tensor_with_histograms( all_results, plot_names, model_names ) for i, idx in enumerate(args.indices): ensm_data, endd_data = [[ all_results[model_n][0][i], all_results[model_n][2][i] ] + [ all_results[model_n][3][measure][i] for measure in args.measures ] for model_n in ['gaussian-ensemble', 'nw_prior']] figure = get_example_figure( ensm_data, endd_data, all_hists[i*4:i*4+4], ispred=(args.trainmodel == args.data_type) ) figure.savefig( 'temp_plots/example_' + args.data_type + '_' + str(idx) + '.png', dpi=300, bbox_inches='tight' ) plt.clf()

true

f7fc33f5c66d4dba075b00007064c3ae8657aca6

447

py

Python

adivina_numero.py

AnaLopezP/Adivina_el_numero

9e77562ecca7a0a242e521ad7c6606391fad89e3

[ "Apache-2.0" ]

null

adivina_numero.py

AnaLopezP/Adivina_el_numero

9e77562ecca7a0a242e521ad7c6606391fad89e3

[ "Apache-2.0" ]

null

adivina_numero.py

AnaLopezP/Adivina_el_numero

9e77562ecca7a0a242e521ad7c6606391fad89e3

[ "Apache-2.0" ]

null

import random numero = random.randint(0,100) print(numero) print("Intente con un número entero.") intento = int(input()) while intento != numero: if intento > 99: print("El número está entre 0 y 99. Elige otro.") else: if intento > numero: print("Te has pasado.") else: print("Te has quedado corto.") intento = int(input()) if intento == numero: print("¡Felicidades, has acertado!")

27.9375

57

0.608501

import random numero = random.randint(0,100) print(numero) print("Intente con un número entero.") intento = int(input()) while intento != numero: if intento > 99: print("El número está entre 0 y 99. Elige otro.") else: if intento > numero: print("Te has pasado.") else: print("Te has quedado corto.") intento = int(input()) if intento == numero: print("¡Felicidades, has acertado!")

true

f7fc3674cdc0a3e14cfff667502049fd56146c08

497

py

Python

app/realtors/models.py

HARPALSINHGOHIL/python-recipe

9975fb05aedf3534a3478519d14d835b77cd5a84

[ "MIT" ]

1

2019-08-30T16:13:37.000Z

app/realtors/models.py

HARPALSINHGOHIL/python-recipe

9975fb05aedf3534a3478519d14d835b77cd5a84

[ "MIT" ]

7

2020-06-05T23:47:19.000Z

2022-02-10T08:28:07.000Z

app/realtors/models.py

HARPALSINHGOHIL/python-recipe

9975fb05aedf3534a3478519d14d835b77cd5a84

[ "MIT" ]

1

2021-02-17T12:47:48.000Z

from django.db import models from datetime import datetime class Realtor(models.Model): name = models.CharField(max_length=200) photo = models.ImageField(upload_to='photos/%Y/%m/%d/') description = models.TextField(blank=True) phone = models.CharField(max_length=20) email = models.CharField(max_length=50) is_mvp = models.BooleanField(default=False) hire_date = models.DateTimeField(default=datetime.now, blank=True) def __str__(self): return self.name

31.0625

70

0.72837

from django.db import models from datetime import datetime class Realtor(models.Model): name = models.CharField(max_length=200) photo = models.ImageField(upload_to='photos/%Y/%m/%d/') description = models.TextField(blank=True) phone = models.CharField(max_length=20) email = models.CharField(max_length=50) is_mvp = models.BooleanField(default=False) hire_date = models.DateTimeField(default=datetime.now, blank=True) def __str__(self): return self.name

true

f7fc36bf3277043bd0e946564a939c95f0753bd9

1,721

py

Python

tests/sentry/api/serializers/test_grouptagvalue.py

seukjung/sentry-custom

c5f6bb2019aef3caff7f3e2b619f7a70f2b9b963

[ "BSD-3-Clause" ]

1

2019-02-27T15:13:06.000Z

tests/sentry/api/serializers/test_grouptagvalue.py

seukjung/sentry-custom

c5f6bb2019aef3caff7f3e2b619f7a70f2b9b963

[ "BSD-3-Clause" ]

6

2019-12-29T00:50:11.000Z

2022-02-10T13:27:24.000Z

tests/sentry/api/serializers/test_grouptagvalue.py

zaasmi/codeerrorhelp

1ab8d3e314386b9b2d58dad9df45355bf6014ac9

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import import six from sentry.api.serializers import serialize from sentry.models import EventUser, GroupTagValue, TagValue from sentry.testutils import TestCase class GroupTagValueSerializerTest(TestCase): def test_with_user(self): user = self.create_user() project = self.create_project() euser = EventUser.objects.create( project=project, email='foo@example.com', ) tagvalue = TagValue.objects.create( project=project, key='sentry:user', value=euser.tag_value, ) grouptagvalue = GroupTagValue.objects.create( project_id=project.id, group_id=self.create_group(project=project).id, key=tagvalue.key, value=tagvalue.value, ) result = serialize(grouptagvalue, user) assert result['id'] == six.text_type(grouptagvalue.id) assert result['key'] == 'user' assert result['value'] == grouptagvalue.value assert result['name'] == euser.get_label() def test_with_no_tagvalue(self): user = self.create_user() project = self.create_project() grouptagvalue = GroupTagValue.objects.create( project_id=project.id, group_id=self.create_group(project=project).id, key='sentry:user', value='email:foo@example.com', ) result = serialize(grouptagvalue, user) assert result['id'] == six.text_type(grouptagvalue.id) assert result['key'] == 'user' assert result['value'] == grouptagvalue.value assert result['name'] == grouptagvalue.value

32.471698

62

0.622313

from __future__ import absolute_import import six from sentry.api.serializers import serialize from sentry.models import EventUser, GroupTagValue, TagValue from sentry.testutils import TestCase class GroupTagValueSerializerTest(TestCase): def test_with_user(self): user = self.create_user() project = self.create_project() euser = EventUser.objects.create( project=project, email='foo@example.com', ) tagvalue = TagValue.objects.create( project=project, key='sentry:user', value=euser.tag_value, ) grouptagvalue = GroupTagValue.objects.create( project_id=project.id, group_id=self.create_group(project=project).id, key=tagvalue.key, value=tagvalue.value, ) result = serialize(grouptagvalue, user) assert result['id'] == six.text_type(grouptagvalue.id) assert result['key'] == 'user' assert result['value'] == grouptagvalue.value assert result['name'] == euser.get_label() def test_with_no_tagvalue(self): user = self.create_user() project = self.create_project() grouptagvalue = GroupTagValue.objects.create( project_id=project.id, group_id=self.create_group(project=project).id, key='sentry:user', value='email:foo@example.com', ) result = serialize(grouptagvalue, user) assert result['id'] == six.text_type(grouptagvalue.id) assert result['key'] == 'user' assert result['value'] == grouptagvalue.value assert result['name'] == grouptagvalue.value

true

f7fc36dd02de5b054824d5ee727c9588437a53bd

6,267

py

Python

sql/engines/mssql.py

jonn-yan/Archery

a8a236db12fce2784fb4aeddc7e744026af0b983

[ "Apache-2.0" ]

1

2019-04-19T08:50:07.000Z

sql/engines/mssql.py

jonn-yan/Archery

a8a236db12fce2784fb4aeddc7e744026af0b983

[ "Apache-2.0" ]

null

sql/engines/mssql.py

jonn-yan/Archery

a8a236db12fce2784fb4aeddc7e744026af0b983

[ "Apache-2.0" ]

null

# -*- coding: UTF-8 -*- import logging import traceback import re import sqlparse from . import EngineBase import pyodbc from .models import ResultSet from sql.utils.data_masking import brute_mask logger = logging.getLogger('default') class MssqlEngine(EngineBase): def get_connection(self, db_name=None): connstr = """DRIVER=ODBC Driver 17 for SQL Server;SERVER={0};PORT={1};UID={2};PWD={3}; client charset = UTF-8;connect timeout=10;CHARSET=UTF8;""".format(self.host, self.port, self.user, self.password) conn = pyodbc.connect(connstr) return conn def get_all_databases(self): """连进指定的mssql实例里，读取所有databases并返回""" sql = "SELECT name FROM master.sys.databases" result = self.query(sql=sql) db_list = [row[0] for row in result.rows if row[0] not in ('information_schema', 'performance_schema', 'mysql', 'test', 'sys')] return db_list # 连进指定的mysql实例里，读取所有tables并返回 def get_all_tables(self, db_name): """return List [tables]""" sql = """SELECT TABLE_NAME FROM {0}.INFORMATION_SCHEMA.TABLES WHERE TABLE_TYPE = 'BASE TABLE';""".format(db_name) result = self.query(db_name=db_name, sql=sql) tb_list = [row[0] for row in result.rows if row[0] not in ['test']] return tb_list def get_all_columns_by_tb(self, db_name, tb_name): """return list [columns]""" result = self.describe_table(db_name, tb_name) column_list = [row[0] for row in result.rows] return column_list def describe_table(self, db_name, tb_name): """return ResultSet""" sql = r"""select c.name ColumnName, t.name ColumnType, c.length ColumnLength, c.scale ColumnScale, c.isnullable ColumnNull, case when i.id is not null then 'Y' else 'N' end TablePk from (select name,id,uid from {0}..sysobjects where (xtype='U' or xtype='V') ) o inner join {0}..syscolumns c on o.id=c.id inner join {0}..systypes t on c.xtype=t.xusertype left join {0}..sysusers u on u.uid=o.uid left join (select name,id,uid,parent_obj from {0}..sysobjects where xtype='PK' ) opk on opk.parent_obj=o.id left join (select id,name,indid from {0}..sysindexes) ie on ie.id=o.id and ie.name=opk.name left join {0}..sysindexkeys i on i.id=o.id and i.colid=c.colid and i.indid=ie.indid WHERE O.name NOT LIKE 'MS%' AND O.name NOT LIKE 'SY%' and O.name='{1}' order by o.name,c.colid""".format(db_name, tb_name) result = self.query(sql=sql) return result def query_check(self, db_name=None, sql=''): # 查询语句的检查、注释去除、切分 result = {'msg': '', 'bad_query': False, 'filtered_sql': sql, 'has_star': False} banned_keywords = ["ascii", "char", "charindex", "concat", "concat_ws", "difference", "format", "len", "nchar", "patindex", "quotename", "replace", "replicate", "reverse", "right", "soundex", "space", "str", "string_agg", "string_escape", "string_split", "stuff", "substring", "trim", "unicode"] keyword_warning = '' star_patter = r"(^|,| )\*( |\(|$)" # 删除注释语句，进行语法判断，执行第一条有效sql try: sql = sql.format(sql, strip_comments=True) sql = sqlparse.split(sql)[0] result['filtered_sql'] = sql.strip() sql_lower = sql.lower() except IndexError: result['has_star'] = True result['msg'] = '没有有效的SQL语句' return result if re.match(r"^select", sql_lower) is None: result['bad_query'] = True result['msg'] = '仅支持^select语法!' return result if re.search(star_patter, sql_lower) is not None: keyword_warning += '禁止使用 * 关键词\n' result['bad_query'] = True result['has_star'] = True if '+' in sql_lower: keyword_warning += '禁止使用 + 关键词\n' result['bad_query'] = True for keyword in banned_keywords: pattern = r"(^|,| |=){}( |\(|$)".format(keyword) if re.search(pattern, sql_lower) is not None: keyword_warning += '禁止使用 {} 关键词\n'.format(keyword) result['bad_query'] = True if result.get('bad_query'): result['msg'] = keyword_warning return result def filter_sql(self, sql='', limit_num=0): sql_lower = sql.lower() # 对查询sql增加limit限制 if re.match(r"^select", sql_lower): if sql_lower.find(' top ') == -1: return sql_lower.replace('select', 'select top {}'.format(limit_num)) return sql.strip() def query(self, db_name=None, sql='', limit_num=0, close_conn=True): """返回 ResultSet """ result_set = ResultSet(full_sql=sql) try: conn = self.get_connection() cursor = conn.cursor() if db_name: cursor.execute('use {};'.format(db_name)) cursor.execute(sql) if int(limit_num) > 0: rows = cursor.fetchmany(int(limit_num)) else: rows = cursor.fetchall() fields = cursor.description column_list = [] if fields: for i in fields: column_list.append(i[0]) result_set.column_list = column_list result_set.rows = [tuple(x) for x in rows] result_set.affected_rows = len(result_set.rows) except Exception as e: logger.error(f"MsSQL语句执行报错，语句：{sql}，错误信息{traceback.format_exc()}") result_set.error = str(e) finally: conn.close() return result_set def query_masking(self, db_name=None, sql='', resultset=None): """传入 sql语句, db名, 结果集, 返回一个脱敏后的结果集""" # 仅对select语句脱敏 if re.match(r"^select", sql, re.I): filtered_result = brute_mask(resultset) filtered_result.is_masked = 1 else: filtered_result = resultset return filtered_result

40.432258

117

0.566459

import logging import traceback import re import sqlparse from . import EngineBase import pyodbc from .models import ResultSet from sql.utils.data_masking import brute_mask logger = logging.getLogger('default') class MssqlEngine(EngineBase): def get_connection(self, db_name=None): connstr = """DRIVER=ODBC Driver 17 for SQL Server;SERVER={0};PORT={1};UID={2};PWD={3}; client charset = UTF-8;connect timeout=10;CHARSET=UTF8;""".format(self.host, self.port, self.user, self.password) conn = pyodbc.connect(connstr) return conn def get_all_databases(self): sql = "SELECT name FROM master.sys.databases" result = self.query(sql=sql) db_list = [row[0] for row in result.rows if row[0] not in ('information_schema', 'performance_schema', 'mysql', 'test', 'sys')] return db_list def get_all_tables(self, db_name): sql = """SELECT TABLE_NAME FROM {0}.INFORMATION_SCHEMA.TABLES WHERE TABLE_TYPE = 'BASE TABLE';""".format(db_name) result = self.query(db_name=db_name, sql=sql) tb_list = [row[0] for row in result.rows if row[0] not in ['test']] return tb_list def get_all_columns_by_tb(self, db_name, tb_name): result = self.describe_table(db_name, tb_name) column_list = [row[0] for row in result.rows] return column_list def describe_table(self, db_name, tb_name): sql = r"""select c.name ColumnName, t.name ColumnType, c.length ColumnLength, c.scale ColumnScale, c.isnullable ColumnNull, case when i.id is not null then 'Y' else 'N' end TablePk from (select name,id,uid from {0}..sysobjects where (xtype='U' or xtype='V') ) o inner join {0}..syscolumns c on o.id=c.id inner join {0}..systypes t on c.xtype=t.xusertype left join {0}..sysusers u on u.uid=o.uid left join (select name,id,uid,parent_obj from {0}..sysobjects where xtype='PK' ) opk on opk.parent_obj=o.id left join (select id,name,indid from {0}..sysindexes) ie on ie.id=o.id and ie.name=opk.name left join {0}..sysindexkeys i on i.id=o.id and i.colid=c.colid and i.indid=ie.indid WHERE O.name NOT LIKE 'MS%' AND O.name NOT LIKE 'SY%' and O.name='{1}' order by o.name,c.colid""".format(db_name, tb_name) result = self.query(sql=sql) return result def query_check(self, db_name=None, sql=''): result = {'msg': '', 'bad_query': False, 'filtered_sql': sql, 'has_star': False} banned_keywords = ["ascii", "char", "charindex", "concat", "concat_ws", "difference", "format", "len", "nchar", "patindex", "quotename", "replace", "replicate", "reverse", "right", "soundex", "space", "str", "string_agg", "string_escape", "string_split", "stuff", "substring", "trim", "unicode"] keyword_warning = '' star_patter = r"(^|,| )\*( |\(|$)" try: sql = sql.format(sql, strip_comments=True) sql = sqlparse.split(sql)[0] result['filtered_sql'] = sql.strip() sql_lower = sql.lower() except IndexError: result['has_star'] = True result['msg'] = '没有有效的SQL语句' return result if re.match(r"^select", sql_lower) is None: result['bad_query'] = True result['msg'] = '仅支持^select语法!' return result if re.search(star_patter, sql_lower) is not None: keyword_warning += '禁止使用 * 关键词\n' result['bad_query'] = True result['has_star'] = True if '+' in sql_lower: keyword_warning += '禁止使用 + 关键词\n' result['bad_query'] = True for keyword in banned_keywords: pattern = r"(^|,| |=){}( |\(|$)".format(keyword) if re.search(pattern, sql_lower) is not None: keyword_warning += '禁止使用 {} 关键词\n'.format(keyword) result['bad_query'] = True if result.get('bad_query'): result['msg'] = keyword_warning return result def filter_sql(self, sql='', limit_num=0): sql_lower = sql.lower() if re.match(r"^select", sql_lower): if sql_lower.find(' top ') == -1: return sql_lower.replace('select', 'select top {}'.format(limit_num)) return sql.strip() def query(self, db_name=None, sql='', limit_num=0, close_conn=True): result_set = ResultSet(full_sql=sql) try: conn = self.get_connection() cursor = conn.cursor() if db_name: cursor.execute('use {};'.format(db_name)) cursor.execute(sql) if int(limit_num) > 0: rows = cursor.fetchmany(int(limit_num)) else: rows = cursor.fetchall() fields = cursor.description column_list = [] if fields: for i in fields: column_list.append(i[0]) result_set.column_list = column_list result_set.rows = [tuple(x) for x in rows] result_set.affected_rows = len(result_set.rows) except Exception as e: logger.error(f"MsSQL语句执行报错，语句：{sql}，错误信息{traceback.format_exc()}") result_set.error = str(e) finally: conn.close() return result_set def query_masking(self, db_name=None, sql='', resultset=None): if re.match(r"^select", sql, re.I): filtered_result = brute_mask(resultset) filtered_result.is_masked = 1 else: filtered_result = resultset return filtered_result

true

f7fc3839c7f753b34acdde8f9991e086c9feb951

1,944

py

Python

tests/test_utils_common.py

jayvdb/rethinkdb-python

8f361065105907fb38dcb1b5c7998b206d1e8fbf

[ "Apache-2.0" ]

null

tests/test_utils_common.py

jayvdb/rethinkdb-python

8f361065105907fb38dcb1b5c7998b206d1e8fbf

[ "Apache-2.0" ]

null

tests/test_utils_common.py

jayvdb/rethinkdb-python

8f361065105907fb38dcb1b5c7998b206d1e8fbf

[ "Apache-2.0" ]

null

import pytest from rethinkdb import utils_common @pytest.fixture def parser(): opt_parser = utils_common.CommonOptionsParser() opt_parser.add_option( "-e", "--export", dest="db_tables", metavar="DB|DB.TABLE", default=[], type='db_table', action="append") opt_parser.add_option( "--clients", dest="clients", metavar="NUM", default=3, type="pos_int") return opt_parser def test_option_parser_int_pos(parser): options, args = parser.parse_args(['--clients', '4'], connect=False) assert options.clients == 4 def test_option_parser_int_pos_equals(parser): options, args = parser.parse_args(['--clients=4'], connect=False) assert options.clients == 4 def test_option_parser_int_pos_default(parser): options, args = parser.parse_args([], connect=False) assert options.clients == 3 def test_option_parser_int_pos_fail(parser): with pytest.raises(SystemExit): parser.parse_args(['--clients=asdf'], connect=False) def test_option_parser_int_pos_zero(parser): with pytest.raises(SystemExit): parser.parse_args(['--clients=0'], connect=False) def test_option_parser_db_table(parser): options, args = parser.parse_args(['--export=example.table'], connect=False) assert options.db_tables == [('example', 'table')] def test_option_parser_db_table_append(parser): options, args = parser.parse_args(['--export=example.table', '--export=example.another'], connect=False) assert options.db_tables == [('example', 'table'), ('example', 'another')] def test_option_parser_db_table_only_db(parser): options, args = parser.parse_args(['--export=example'], connect=False) assert options.db_tables == [('example', None)] def test_option_parser_db_table_fail(parser): with pytest.raises(SystemExit): parser.parse_args(['--export='], connect=False)

26.27027

108

0.68107

import pytest from rethinkdb import utils_common @pytest.fixture def parser(): opt_parser = utils_common.CommonOptionsParser() opt_parser.add_option( "-e", "--export", dest="db_tables", metavar="DB|DB.TABLE", default=[], type='db_table', action="append") opt_parser.add_option( "--clients", dest="clients", metavar="NUM", default=3, type="pos_int") return opt_parser def test_option_parser_int_pos(parser): options, args = parser.parse_args(['--clients', '4'], connect=False) assert options.clients == 4 def test_option_parser_int_pos_equals(parser): options, args = parser.parse_args(['--clients=4'], connect=False) assert options.clients == 4 def test_option_parser_int_pos_default(parser): options, args = parser.parse_args([], connect=False) assert options.clients == 3 def test_option_parser_int_pos_fail(parser): with pytest.raises(SystemExit): parser.parse_args(['--clients=asdf'], connect=False) def test_option_parser_int_pos_zero(parser): with pytest.raises(SystemExit): parser.parse_args(['--clients=0'], connect=False) def test_option_parser_db_table(parser): options, args = parser.parse_args(['--export=example.table'], connect=False) assert options.db_tables == [('example', 'table')] def test_option_parser_db_table_append(parser): options, args = parser.parse_args(['--export=example.table', '--export=example.another'], connect=False) assert options.db_tables == [('example', 'table'), ('example', 'another')] def test_option_parser_db_table_only_db(parser): options, args = parser.parse_args(['--export=example'], connect=False) assert options.db_tables == [('example', None)] def test_option_parser_db_table_fail(parser): with pytest.raises(SystemExit): parser.parse_args(['--export='], connect=False)

true

f7fc3898cdec04dde57719b38467c1e044f6089c

1,019

py

Python

zipf/pickWords.py

pmkenned/data-oriented

e8c5b5bca4d4615ebfe8ded968cec11436ffae26

[ "MIT" ]

null

zipf/pickWords.py

pmkenned/data-oriented

e8c5b5bca4d4615ebfe8ded968cec11436ffae26

[ "MIT" ]

null

zipf/pickWords.py

pmkenned/data-oriented

e8c5b5bca4d4615ebfe8ded968cec11436ffae26

[ "MIT" ]

null

#!/usr/bin/env python import sys import gzip import random has_numpy = False try: import numpy has_numpy = True except ImportError: pass if has_numpy: x_cnt = dict() x = numpy.random.zipf(1.05, 100000) for i in x: i -= 1 if i in x_cnt: x_cnt[i] += 1 else: x_cnt[i] = 1 keys_sorted = sorted(x_cnt.keys()) for xi in keys_sorted: val = x_cnt[xi] print (xi+1, val) exit() # TODO: use argparse # TODO: allow for non-uniform distribution of word choices argc = len(sys.argv) if argc < 2: sys.stderr.write('usage: %s [N]\n' % sys.argv[0]) exit() n = int(sys.argv[1]) m = int(sys.argv[2]) if (argc >= 3) else None if argc >= 4: seed = int(sys.argv[3]) random.seed(seed) with gzip.open('words.txt.gz', 'rb') as fh: lines = fh.read().decode('utf8').split('\n') if m is None: m = len(lines) for i in range(0,n): r = random.randint(0,m-1) sys.stdout.write(lines[r] + '\n')

18.196429

58

0.564279

import sys import gzip import random has_numpy = False try: import numpy has_numpy = True except ImportError: pass if has_numpy: x_cnt = dict() x = numpy.random.zipf(1.05, 100000) for i in x: i -= 1 if i in x_cnt: x_cnt[i] += 1 else: x_cnt[i] = 1 keys_sorted = sorted(x_cnt.keys()) for xi in keys_sorted: val = x_cnt[xi] print (xi+1, val) exit() argc = len(sys.argv) if argc < 2: sys.stderr.write('usage: %s [N]\n' % sys.argv[0]) exit() n = int(sys.argv[1]) m = int(sys.argv[2]) if (argc >= 3) else None if argc >= 4: seed = int(sys.argv[3]) random.seed(seed) with gzip.open('words.txt.gz', 'rb') as fh: lines = fh.read().decode('utf8').split('\n') if m is None: m = len(lines) for i in range(0,n): r = random.randint(0,m-1) sys.stdout.write(lines[r] + '\n')

true

f7fc394b890cdf9fcf20a08b0dcf81fd24ff7338

819

py

Python

server/server/urls.py

theju/alp-mail

0a797f80d783497506e6bbb018197a0cea299a66

[ "MIT" ]

10

2016-05-11T11:31:07.000Z

2019-10-28T08:16:49.000Z

server/server/urls.py

SoloDevOG/alp-mail

0a797f80d783497506e6bbb018197a0cea299a66

[ "MIT" ]

null

server/server/urls.py

SoloDevOG/alp-mail

0a797f80d783497506e6bbb018197a0cea299a66

[ "MIT" ]

1

2021-09-24T22:49:13.000Z

"""server URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.9/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.conf.urls import url, include 2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls')) """ from django.conf.urls import url from django.contrib import admin import core.urls urlpatterns = [ url(r'^admin/', admin.site.urls), ] urlpatterns += core.urls.urlpatterns

30.333333

79

0.708181

from django.conf.urls import url from django.contrib import admin import core.urls urlpatterns = [ url(r'^admin/', admin.site.urls), ] urlpatterns += core.urls.urlpatterns

true

f7fc3a4df386f289c43b3f65dc8be5ca040b5cfd

523

py

Python

usuarios/views.py

exildev/Rondax

a4a4cad4ec9c575a288f66a353e07e9a57362ede

[ "Apache-2.0" ]

null

usuarios/views.py

exildev/Rondax

a4a4cad4ec9c575a288f66a353e07e9a57362ede

[ "Apache-2.0" ]

null

usuarios/views.py

exildev/Rondax

a4a4cad4ec9c575a288f66a353e07e9a57362ede

[ "Apache-2.0" ]

null

from django.shortcuts import render from supra import views as supra from django.utils.decorators import method_decorator from django.views.decorators.csrf import csrf_exempt import models supra.SupraConf.ACCECC_CONTROL["allow"] = True # Create your views here. class Login(supra.SupraSession): @method_decorator(csrf_exempt) def dispatch(self, request, *args, **kwargs): return super(Login, self).dispatch(request, *args, **kwargs) # end def model = models.Operario # end class

29.055556

69

0.732314

from django.shortcuts import render from supra import views as supra from django.utils.decorators import method_decorator from django.views.decorators.csrf import csrf_exempt import models supra.SupraConf.ACCECC_CONTROL["allow"] = True class Login(supra.SupraSession): @method_decorator(csrf_exempt) def dispatch(self, request, *args, **kwargs): return super(Login, self).dispatch(request, *args, **kwargs) model = models.Operario

true

f7fc3bef0305878dc635ce4e78fea1f6964f62e3

3,101

py

Python

blog/users/migrations/0001_initial.py

simpleOnly1/blog

34343068318a64bd537e5862181e037fc4636247

[ "MIT" ]

null

blog/users/migrations/0001_initial.py

simpleOnly1/blog

34343068318a64bd537e5862181e037fc4636247

[ "MIT" ]

null

blog/users/migrations/0001_initial.py

simpleOnly1/blog

34343068318a64bd537e5862181e037fc4636247

[ "MIT" ]

null

# Generated by Django 2.2 on 2021-08-08 04:03 import django.contrib.auth.models import django.contrib.auth.validators from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ ('auth', '0011_update_proxy_permissions'), ] operations = [ migrations.CreateModel( name='User', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('password', models.CharField(max_length=128, verbose_name='password')), ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')), ('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')), ('username', models.CharField(error_messages={'unique': 'A user with that username already exists.'}, help_text='Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.', max_length=150, unique=True, validators=[django.contrib.auth.validators.UnicodeUsernameValidator()], verbose_name='username')), ('first_name', models.CharField(blank=True, max_length=30, verbose_name='first name')), ('last_name', models.CharField(blank=True, max_length=150, verbose_name='last name')), ('email', models.EmailField(blank=True, max_length=254, verbose_name='email address')), ('is_staff', models.BooleanField(default=False, help_text='Designates whether the user can log into this admin site.', verbose_name='staff status')), ('is_active', models.BooleanField(default=True, help_text='Designates whether this user should be treated as active. Unselect this instead of deleting accounts.', verbose_name='active')), ('date_joined', models.DateTimeField(default=django.utils.timezone.now, verbose_name='date joined')), ('mobile', models.CharField(max_length=11, unique=True)), ('avatar', models.ImageField(blank=True, upload_to='avatar/%Y%m%d/')), ('user_desc', models.CharField(blank=True, max_length=500)), ('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')), ('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')), ], options={ 'verbose_name': '用户管理', 'verbose_name_plural': '用户管理', 'db_table': 'tb_users', }, managers=[ ('objects', django.contrib.auth.models.UserManager()), ], ), ]

64.604167

329

0.655917

import django.contrib.auth.models import django.contrib.auth.validators from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ ('auth', '0011_update_proxy_permissions'), ] operations = [ migrations.CreateModel( name='User', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('password', models.CharField(max_length=128, verbose_name='password')), ('last_login', models.DateTimeField(blank=True, null=True, verbose_name='last login')), ('is_superuser', models.BooleanField(default=False, help_text='Designates that this user has all permissions without explicitly assigning them.', verbose_name='superuser status')), ('username', models.CharField(error_messages={'unique': 'A user with that username already exists.'}, help_text='Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.', max_length=150, unique=True, validators=[django.contrib.auth.validators.UnicodeUsernameValidator()], verbose_name='username')), ('first_name', models.CharField(blank=True, max_length=30, verbose_name='first name')), ('last_name', models.CharField(blank=True, max_length=150, verbose_name='last name')), ('email', models.EmailField(blank=True, max_length=254, verbose_name='email address')), ('is_staff', models.BooleanField(default=False, help_text='Designates whether the user can log into this admin site.', verbose_name='staff status')), ('is_active', models.BooleanField(default=True, help_text='Designates whether this user should be treated as active. Unselect this instead of deleting accounts.', verbose_name='active')), ('date_joined', models.DateTimeField(default=django.utils.timezone.now, verbose_name='date joined')), ('mobile', models.CharField(max_length=11, unique=True)), ('avatar', models.ImageField(blank=True, upload_to='avatar/%Y%m%d/')), ('user_desc', models.CharField(blank=True, max_length=500)), ('groups', models.ManyToManyField(blank=True, help_text='The groups this user belongs to. A user will get all permissions granted to each of their groups.', related_name='user_set', related_query_name='user', to='auth.Group', verbose_name='groups')), ('user_permissions', models.ManyToManyField(blank=True, help_text='Specific permissions for this user.', related_name='user_set', related_query_name='user', to='auth.Permission', verbose_name='user permissions')), ], options={ 'verbose_name': '用户管理', 'verbose_name_plural': '用户管理', 'db_table': 'tb_users', }, managers=[ ('objects', django.contrib.auth.models.UserManager()), ], ), ]

true

f7fc3c9a053124991fdc72b5accb6ef504a843f0

34,731

py

Python

venv/lib/python3.7/site-packages/scapy/contrib/pnio_rpc.py

nicholasadamou/python-proxy

5be02cf0a20c243bd619808e11a1fa6b26bf7998

[ "MIT" ]

null

venv/lib/python3.7/site-packages/scapy/contrib/pnio_rpc.py

nicholasadamou/python-proxy

5be02cf0a20c243bd619808e11a1fa6b26bf7998

[ "MIT" ]

null

venv/lib/python3.7/site-packages/scapy/contrib/pnio_rpc.py

nicholasadamou/python-proxy

5be02cf0a20c243bd619808e11a1fa6b26bf7998

[ "MIT" ]

null

# This file is part of Scapy # Scapy 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 # any later version. # # Scapy 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 Scapy. If not, see <http://www.gnu.org/licenses/>. # Copyright (C) 2016 Gauthier Sebaux # scapy.contrib.description = ProfinetIO Remote Procedure Call (RPC) # scapy.contrib.status = loads """ PNIO RPC endpoints """ import struct from scapy.packet import Packet, bind_layers from scapy.config import conf from scapy.fields import BitField, ByteField, BitEnumField, \ FieldLenField, FieldListField, IntField, IntEnumField, \ LenField, MACField, PadField, PacketField, PacketListField, \ ShortEnumField, ShortField, StrFixedLenField, StrLenField, \ XByteField, XIntField, XShortEnumField, XShortField, ConditionalField from scapy.contrib.dce_rpc import DceRpc, EndiannessField, DceRpcPayload, \ UUIDField, RandUUID from scapy.compat import bytes_hex # Block Packet BLOCK_TYPES_ENUM = { 0x0000: "AlarmNotification_High", 0x0001: "AlarmNotification_Low", 0x0008: "IODWriteReqHeader", 0x0009: "IODReadReqHeader", 0x0010: "DiagnosisData", 0x0012: "ExpectedIdentificationData", 0x0013: "RealIdentificationData", 0x0014: "SubsituteValue", 0x0015: "RecordInputDataObjectElement", 0x0016: "RecordOutputDataObjectElement", 0x0018: "ARData", 0x0019: "LogBookData", 0x001a: "APIData", 0x001b: "SRLData", 0x0020: "I&M0", 0x0021: "I&M1", 0x0022: "I&M2", 0x0023: "I&M3", 0x0024: "I&M4", 0x0030: "I&M0FilterDataSubmodule", 0x0031: "I&M0FilterDataModule", 0x0032: "I&M0FilterDataDevice", 0x0101: "ARBlockReq", 0x0102: "IOCRBlockReq", 0x0103: "AlarmCRBlockReq", 0x0104: "ExpectedSubmoduleBlockReq", 0x0105: "PrmServerBlockReq", 0x0106: "MCRBlockReq", 0x0107: "ARRPCBlockReq", 0x0108: "ARVendorBlockReq", 0x0109: "IRInfoBlock", 0x010a: "SRInfoBlock", 0x010b: "ARFSUBlock", 0x0110: "IODBlockReq_connect_end", 0x0111: "IODBlockReq_plug", 0x0112: "IOXBlockReq_connect", 0x0113: "IOXBlockReq_plug", 0x0114: "ReleaseBlockReq", 0x0116: "IOXBlockReq_companion", 0x0117: "IOXBlockReq_rt_class_3", 0x0118: "IODBlockReq_connect_begin", 0x0119: "SubmoduleListBlock", 0x0200: "PDPortDataCheck", 0x0201: "PdevData", 0x0202: "PDPortDataAdjust", 0x0203: "PDSyncData", 0x0204: "IsochronousModeData", 0x0205: "PDIRData", 0x0206: "PDIRGlobalData", 0x0207: "PDIRFrameData", 0x0208: "PDIRBeginEndData", 0x0209: "AdjustDomainBoundary", 0x020a: "SubBlock_check_Peers", 0x020b: "SubBlock_check_LineDelay", 0x020c: "SubBlock_check_MAUType", 0x020e: "AdjustMAUType", 0x020f: "PDPortDataReal", 0x0210: "AdjustMulticastBoundary", 0x0211: "PDInterfaceMrpDataAdjust", 0x0212: "PDInterfaceMrpDataReal", 0x0213: "PDInterfaceMrpDataCheck", 0x0214: "PDPortMrpDataAdjust", 0x0215: "PDPortMrpDataReal", 0x0216: "MrpManagerParams", 0x0217: "MrpClientParams", 0x0219: "MrpRingStateData", 0x021b: "AdjustLinkState", 0x021c: "CheckLinkState", 0x021e: "CheckSyncDifference", 0x021f: "CheckMAUTypeDifference", 0x0220: "PDPortFODataReal", 0x0221: "FiberOpticManufacturerSpecific", 0x0222: "PDPortFODataAdjust", 0x0223: "PDPortFODataCheck", 0x0224: "AdjustPeerToPeerBoundary", 0x0225: "AdjustDCPBoundary", 0x0226: "AdjustPreambleLength", 0x0228: "FiberOpticDiagnosisInfo", 0x022a: "PDIRSubframeData", 0x022b: "SubframeBlock", 0x022d: "PDTimeData", 0x0230: "PDNCDataCheck", 0x0231: "MrpInstanceDataAdjustBlock", 0x0232: "MrpInstanceDataRealBlock", 0x0233: "MrpInstanceDataCheckBlock", 0x0240: "PDInterfaceDataReal", 0x0250: "PDInterfaceAdjust", 0x0251: "PDPortStatistic", 0x0400: "MultipleBlockHeader", 0x0401: "COContainerContent", 0x0500: "RecordDataReadQuery", 0x0600: "FSHelloBlock", 0x0601: "FSParameterBlock", 0x0608: "PDInterfaceFSUDataAdjust", 0x0609: "ARFSUDataAdjust", 0x0700: "AutoConfiguration", 0x0701: "AutoConfigurationCommunication", 0x0702: "AutoConfigurationConfiguration", 0x0703: "AutoConfigurationIsochronous", 0x0A00: "UploadBLOBQuery", 0x0A01: "UploadBLOB", 0x0A02: "NestedDiagnosisInfo", 0x0F00: "MaintenanceItem", 0x0F01: "UploadRecord", 0x0F02: "iParameterItem", 0x0F03: "RetrieveRecord", 0x0F04: "RetrieveAllRecord", 0x8001: "AlarmAckHigh", 0x8002: "AlarmAckLow", 0x8008: "IODWriteResHeader", 0x8009: "IODReadResHeader", 0x8101: "ARBlockRes", 0x8102: "IOCRBlockRes", 0x8103: "AlarmCRBlockRes", 0x8104: "ModuleDiffBlock", 0x8105: "PrmServerBlockRes", 0x8106: "ARServerBlockRes", 0x8107: "ARRPCBlockRes", 0x8108: "ARVendorBlockRes", 0x8110: "IODBlockRes_connect_end", 0x8111: "IODBlockRes_plug", 0x8112: "IOXBlockRes_connect", 0x8113: "IOXBlockRes_plug", 0x8114: "ReleaseBlockRes", 0x8116: "IOXBlockRes_companion", 0x8117: "IOXBlockRes_rt_class_3", 0x8118: "IODBlockRes_connect_begin", } # IODWriteReq & IODWriteMultipleReq Packets IOD_WRITE_REQ_INDEX = { 0x8000: "ExpectedIdentificationData_subslot", 0x8001: "RealIdentificationData_subslot", 0x800a: "Diagnosis_channel_subslot", 0x800b: "Diagnosis_all_subslot", 0x800c: "Diagnosis_Maintenance_subslot", 0x8010: "Maintenance_required_in_channel_subslot", 0x8011: "Maintenance_demanded_in_channel_subslot", 0x8012: "Maintenance_required_in_all_channels_subslot", 0x8013: "Maintenance_demanded_in_all_channels_subslot", 0x801e: "SubstitueValue_subslot", 0x8020: "PDIRSubframeData_subslot", 0x8028: "RecordInputDataObjectElement_subslot", 0x8029: "RecordOutputDataObjectElement_subslot", 0x802a: "PDPortDataReal_subslot", 0x802b: "PDPortDataCheck_subslot", 0x802c: "PDIRData_subslot", 0x802d: "Expected_PDSyncData_subslot", 0x802f: "PDPortDataAdjust_subslot", 0x8030: "IsochronousModeData_subslot", 0x8031: "Expected_PDTimeData_subslot", 0x8050: "PDInterfaceMrpDataReal_subslot", 0x8051: "PDInterfaceMrpDataCheck_subslot", 0x8052: "PDInterfaceMrpDataAdjust_subslot", 0x8053: "PDPortMrpDataAdjust_subslot", 0x8054: "PDPortMrpDataReal_subslot", 0x8060: "PDPortFODataReal_subslot", 0x8061: "PDPortFODataCheck_subslot", 0x8062: "PDPortFODataAdjust_subslot", 0x8070: "PdNCDataCheck_subslot", 0x8071: "PDInterfaceAdjust_subslot", 0x8072: "PDPortStatistic_subslot", 0x8080: "PDInterfaceDataReal_subslot", 0x8090: "Expected_PDInterfaceFSUDataAdjust", 0x80a0: "Energy_saving_profile_record_0", 0x80b0: "CombinedObjectContainer", 0x80c0: "Sequence_events_profile_record_0", 0xaff0: "I&M0", 0xaff1: "I&M1", 0xaff2: "I&M2", 0xaff3: "I&M3", 0xaff4: "I&M4", 0xc000: "Expect edIdentificationData_slot", 0xc001: "RealId entificationData_slot", 0xc00a: "Diagno sis_channel_slot", 0xc00b: "Diagnosis_all_slot", 0xc00c: "Diagnosis_Maintenance_slot", 0xc010: "Maintenance_required_in_channel_slot", 0xc011: "Maintenance_demanded_in_channel_slot", 0xc012: "Maintenance_required_in_all_channels_slot", 0xc013: "Maintenance_demanded_in_all_channels_slot", 0xe000: "ExpectedIdentificationData_AR", 0xe001: "RealIdentificationData_AR", 0xe002: "ModuleDiffBlock_AR", 0xe00a: "Diagnosis_channel_AR", 0xe00b: "Diagnosis_all_AR", 0xe00c: "Diagnosis_Maintenance_AR", 0xe010: "Maintenance_required_in_channel_AR", 0xe011: "Maintenance_demanded_in_channel_AR", 0xe012: "Maintenance_required_in_all_channels_AR", 0xe013: "Maintenance_demanded_in_all_channels_AR", 0xe040: "WriteMultiple", 0xe050: "ARFSUDataAdjust_AR", 0xf000: "RealIdentificationData_API", 0xf00a: "Diagnosis_channel_API", 0xf00b: "Diagnosis_all_API", 0xf00c: "Diagnosis_Maintenance_API", 0xf010: "Maintenance_required_in_channel_API", 0xf011: "Maintenance_demanded_in_channel_API", 0xf012: "Maintenance_required_in_all_channels_API", 0xf013: "Maintenance_demanded_in_all_channels_API", 0xf020: "ARData_API", 0xf80c: "Diagnosis_Maintenance_device", 0xf820: "ARData", 0xf821: "APIData", 0xf830: "LogBookData", 0xf831: "PdevData", 0xf840: "I&M0FilterData", 0xf841: "PDRealData", 0xf842: "PDExpectedData", 0xf850: "AutoConfiguration", 0xf860: "GSD_upload", 0xf861: "Nested_Diagnosis_info", 0xfbff: "Trigger_index_CMSM", } # ARBlockReq Packets AR_TYPE = { 0x0001: "IOCARSingle", 0x0006: "IOSAR", 0x0010: "IOCARSingle_RT_CLASS_3", 0x0020: "IOCARSR", } # IOCRBlockReq Packets IOCR_TYPE = { 0x0001: "InputCR", 0x0002: "OutputCR", 0x0003: "MulticastProviderCR", 0x0004: "MulticastConsumerCR", } IOCR_BLOCK_REQ_IOCR_PROPERTIES = { 0x1: "RT_CLASS_1", 0x2: "RT_CLASS_2", 0x3: "RT_CLASS_3", 0x4: "RT_CLASS_UDP", } # List of all valid activity uuid for the DceRpc # layer with PROFINET RPC endpoint RPC_INTERFACE_UUID = { "UUID_IO_DeviceInterface": "dea00001-6c97-11d1-8271-00a02442df7d", "UUID_IO_ControllerInterface": "dea00002-6c97-11d1-8271-00a02442df7d", "UUID_IO_SupervisorInterface": "dea00003-6c97-11d1-8271-00a02442df7d", "UUID_IO_ParameterServerInterface": "dea00004-6c97-11d1-8271-00a02442df7d", } # Generic Block Packet class BlockHeader(Packet): """Abstract packet to centralize block headers fields""" fields_desc = [ ShortEnumField("block_type", None, BLOCK_TYPES_ENUM), ShortField("block_length", None), ByteField("block_version_high", 1), ByteField("block_version_low", 0), ] def __new__(cls, name, bases, dct): raise NotImplementedError() class Block(Packet): """A generic block packet for PNIO RPC""" fields_desc = [ BlockHeader, StrLenField("load", "", length_from=lambda pkt: pkt.block_length - 2), ] # default block_type block_type = 0 def post_build(self, p, pay): # update the block_length if needed if self.block_length is None: # block_length and block_type are not part of the length count length = len(p) - 4 p = p[:2] + struct.pack("!H", length) + p[4:] return Packet.post_build(self, p, pay) def extract_padding(self, s): # all fields after block_length are included in the length and must be # subtracted from the pdu length l length = self.payload_length() return s[:length], s[length:] def payload_length(self): """ A function for each block, to determine the length of the payload """ return 0 # default, no payload # Specific Block Packets # IODControlRe{q,s} class IODControlReq(Block): """IODControl request block""" fields_desc = [ BlockHeader, StrFixedLenField("padding", "", length=2), UUIDField("ARUUID", None), ShortField("SessionKey", 0), XShortField("AlarmSequenceNumber", 0), # ControlCommand BitField("ControlCommand_reserved", 0, 9), BitField("ControlCommand_PrmBegin", 0, 1), BitField("ControlCommand_ReadyForRT_CLASS_3", 0, 1), BitField("ControlCommand_ReadyForCompanion", 0, 1), BitField("ControlCommand_Done", 0, 1), BitField("ControlCommand_Release", 0, 1), BitField("ControlCommand_ApplicationReady", 0, 1), BitField("ControlCommand_PrmEnd", 0, 1), XShortField("ControlBlockProperties", 0) ] def post_build(self, p, pay): # Try to find the right block type if self.block_type is None: if self.ControlCommand_PrmBegin: p = struct.pack("!H", 0x0118) + p[2:] elif self.ControlCommand_ReadyForRT_CLASS_3: p = struct.pack("!H", 0x0117) + p[2:] elif self.ControlCommand_ReadyForCompanion: p = struct.pack("!H", 0x0116) + p[2:] elif self.ControlCommand_Release: p = struct.pack("!H", 0x0114) + p[2:] elif self.ControlCommand_ApplicationReady: if self.AlarmSequenceNumber > 0: p = struct.pack("!H", 0x0113) + p[2:] else: p = struct.pack("!H", 0x0112) + p[2:] elif self.ControlCommand_PrmEnd: if self.AlarmSequenceNumber > 0: p = struct.pack("!H", 0x0111) + p[2:] else: p = struct.pack("!H", 0x0110) + p[2:] return Block.post_build(self, p, pay) def get_response(self): """Generate the response block of this request. Careful: it only sets the fields which can be set from the request """ res = IODControlRes() for field in ["ARUUID", "SessionKey", "AlarmSequenceNumber"]: res.setfieldval(field, self.getfieldval(field)) res.block_type = self.block_type + 0x8000 return res class IODControlRes(Block): """IODControl response block""" fields_desc = [ BlockHeader, StrFixedLenField("padding", "", length=2), UUIDField("ARUUID", None), ShortField("SessionKey", 0), XShortField("AlarmSequenceNumber", 0), # ControlCommand BitField("ControlCommand_reserved", 0, 9), BitField("ControlCommand_PrmBegin", 0, 1), BitField("ControlCommand_ReadyForRT_CLASS_3", 0, 1), BitField("ControlCommand_ReadyForCompanion", 0, 1), BitField("ControlCommand_Done", 1, 1), BitField("ControlCommand_Release", 0, 1), BitField("ControlCommand_ApplicationReady", 0, 1), BitField("ControlCommand_PrmEnd", 0, 1), XShortField("ControlBlockProperties", 0) ] # default block_type value block_type = 0x8110 # The block_type can be among 0x8110 to 0x8118 except 0x8115 # The right type is however determine by the type of the request # (same type as the request + 0x8000) # IODWriteRe{q,s} class IODWriteReq(Block): """IODWrite request block""" fields_desc = [ BlockHeader, ShortField("seqNum", 0), UUIDField("ARUUID", None), XIntField("API", 0), XShortField("slotNumber", 0), XShortField("subslotNumber", 0), StrFixedLenField("padding", "", length=2), XShortEnumField("index", 0, IOD_WRITE_REQ_INDEX), LenField("recordDataLength", None, fmt="I"), StrFixedLenField("RWPadding", "", length=24), ] # default block_type value block_type = 0x0008 def payload_length(self): return self.recordDataLength def get_response(self): """Generate the response block of this request. Careful: it only sets the fields which can be set from the request """ res = IODWriteRes() for field in ["seqNum", "ARUUID", "API", "slotNumber", "subslotNumber", "index"]: res.setfieldval(field, self.getfieldval(field)) return res class IODWriteRes(Block): """IODWrite response block""" fields_desc = [ BlockHeader, ShortField("seqNum", 0), UUIDField("ARUUID", None), XIntField("API", 0), XShortField("slotNumber", 0), XShortField("subslotNumber", 0), StrFixedLenField("padding", "", length=2), XShortEnumField("index", 0, IOD_WRITE_REQ_INDEX), LenField("recordDataLength", None, fmt="I"), XShortField("additionalValue1", 0), XShortField("additionalValue2", 0), IntEnumField("status", 0, ["OK"]), StrFixedLenField("RWPadding", "", length=16), ] # default block_type value block_type = 0x8008 F_PARAMETERS_BLOCK_ID = [ "No_F_WD_Time2_No_F_iPar_CRC", "No_F_WD_Time2_F_iPar_CRC", "F_WD_Time2_No_F_iPar_CRC", "F_WD_Time2_F_iPar_CRC", "reserved_4", "reserved_5", "reserved_6", "reserved_7" ] class FParametersBlock(Packet): """F-Parameters configuration block""" name = "F-Parameters Block" fields_desc = [ # F_Prm_Flag1 BitField("F_Prm_Flag1_Reserved_7", 0, 1), BitField("F_CRC_Seed", 0, 1), BitEnumField("F_CRC_Length", 0, 2, ["CRC-24", "depreciated", "CRC-32", "reserved"]), BitEnumField("F_SIL", 2, 2, ["SIL_1", "SIL_2", "SIL_3", "No_SIL"]), BitField("F_Check_iPar", 0, 1), BitField("F_Check_SeqNr", 0, 1), # F_Prm_Flag2 BitEnumField("F_Par_Version", 1, 2, ["V1", "V2", "reserved_2", "reserved_3"]), BitEnumField("F_Block_ID", 0, 3, F_PARAMETERS_BLOCK_ID), BitField("F_Prm_Flag2_Reserved", 0, 2), BitField("F_Passivation", 0, 1), XShortField("F_Source_Add", 0), XShortField("F_Dest_Add", 0), ShortField("F_WD_Time", 0), ConditionalField( cond=lambda p: p.getfieldval("F_Block_ID") & 0b110 == 0b010, fld=ShortField("F_WD_Time_2", 0)), ConditionalField( cond=lambda p: p.getfieldval("F_Block_ID") & 0b101 == 0b001, fld=XIntField("F_iPar_CRC", 0)), XShortField("F_Par_CRC", 0) ] overload_fields = { IODWriteReq: { "index": 0x100, # commonly used index for F-Parameters block } } bind_layers(IODWriteReq, FParametersBlock, index=0x0100) bind_layers(FParametersBlock, conf.padding_layer) # IODWriteMultipleRe{q,s} class PadFieldWithLen(PadField): """PadField which handles the i2len function to include padding""" def i2len(self, pkt, val): """get the length of the field, including the padding length""" fld_len = self._fld.i2len(pkt, val) return fld_len + self.padlen(fld_len) class IODWriteMultipleReq(Block): """IODWriteMultiple request""" fields_desc = [ BlockHeader, ShortField("seqNum", 0), UUIDField("ARUUID", None), XIntField("API", 0xffffffff), XShortField("slotNumber", 0xffff), XShortField("subslotNumber", 0xffff), StrFixedLenField("padding", "", length=2), XShortEnumField("index", 0, IOD_WRITE_REQ_INDEX), FieldLenField("recordDataLength", None, fmt="I", length_of="blocks"), StrFixedLenField("RWPadding", "", length=24), FieldListField("blocks", [], PadFieldWithLen(PacketField("", None, IODWriteReq), 4), length_from=lambda pkt: pkt.recordDataLength) ] # default values block_type = 0x0008 index = 0xe040 API = 0xffffffff slotNumber = 0xffff subslotNumber = 0xffff def post_build(self, p, pay): # patch the update of block_length, as requests field must not be # included. block_length is always 60 if self.block_length is None: p = p[:2] + struct.pack("!H", 60) + p[4:] # Remove the final padding added in requests fld, val = self.getfield_and_val("blocks") if fld.i2count(self, val) > 0: length = len(val[-1]) pad = fld.field.padlen(length) if pad > 0: p = p[:-pad] # also reduce the recordDataLength accordingly if self.recordDataLength is None: val = struct.unpack("!I", p[36:40])[0] val -= pad p = p[:36] + struct.pack("!I", val) + p[40:] return Packet.post_build(self, p, pay) def get_response(self): """Generate the response block of this request. Careful: it only sets the fields which can be set from the request """ res = IODWriteMultipleRes() for field in ["seqNum", "ARUUID", "API", "slotNumber", "subslotNumber", "index"]: res.setfieldval(field, self.getfieldval(field)) # append all block response res_blocks = [] for block in self.getfieldval("blocks"): res_blocks.append(block.get_response()) res.setfieldval("blocks", res_blocks) return res class IODWriteMultipleRes(Block): """IODWriteMultiple response""" fields_desc = [ BlockHeader, ShortField("seqNum", 0), UUIDField("ARUUID", None), XIntField("API", 0xffffffff), XShortField("slotNumber", 0xffff), XShortField("subslotNumber", 0xffff), StrFixedLenField("padding", "", length=2), XShortEnumField("index", 0, IOD_WRITE_REQ_INDEX), FieldLenField("recordDataLength", None, fmt="I", length_of="blocks"), XShortField("additionalValue1", 0), XShortField("additionalValue2", 0), IntEnumField("status", 0, ["OK"]), StrFixedLenField("RWPadding", "", length=16), FieldListField("blocks", [], PacketField("", None, IODWriteRes), length_from=lambda pkt: pkt.recordDataLength) ] # default values block_type = 0x8008 index = 0xe040 def post_build(self, p, pay): # patch the update of block_length, as requests field must not be # included. block_length is always 60 if self.block_length is None: p = p[:2] + struct.pack("!H", 60) + p[4:] return Packet.post_build(self, p, pay) # ARBlockRe{q,s} class ARBlockReq(Block): """Application relationship block request""" fields_desc = [ BlockHeader, XShortEnumField("ARType", 1, AR_TYPE), UUIDField("ARUUID", None), ShortField("SessionKey", 0), MACField("CMInitiatorMacAdd", None), UUIDField("CMInitiatorObjectUUID", None), # ARProperties BitField("ARProperties_PullModuleAlarmAllowed", 0, 1), BitEnumField("ARProperties_StartupMode", 0, 1, ["Legacy", "Advanced"]), BitField("ARProperties_reserved_3", 0, 6), BitField("ARProperties_reserved_2", 0, 12), BitField("ARProperties_AcknowledgeCompanionAR", 0, 1), BitEnumField("ARProperties_CompanionAR", 0, 2, ["Single_AR", "First_AR", "Companion_AR", "reserved"]), BitEnumField("ARProperties_DeviceAccess", 0, 1, ["ExpectedSubmodule", "Controlled_by_IO_device_app"]), BitField("ARProperties_reserved_1", 0, 3), BitEnumField("ARProperties_ParametrizationServer", 0, 1, ["External_PrmServer", "CM_Initator"]), BitField("ARProperties_SupervisorTakeoverAllowed", 0, 1), BitEnumField("ARProperties_State", 1, 3, {1: "Active"}), ShortField("CMInitiatorActivityTimeoutFactor", 1000), ShortField("CMInitiatorUDPRTPort", 0x8892), FieldLenField("StationNameLength", None, fmt="H", length_of="CMInitiatorStationName"), StrLenField("CMInitiatorStationName", "", length_from=lambda pkt: pkt.StationNameLength), ] # default block_type value block_type = 0x0101 def get_response(self): """Generate the response block of this request. Careful: it only sets the fields which can be set from the request """ res = ARBlockRes() for field in ["ARType", "ARUUID", "SessionKey"]: res.setfieldval(field, self.getfieldval(field)) return res class ARBlockRes(Block): """Application relationship block response""" fields_desc = [ BlockHeader, XShortEnumField("ARType", 1, AR_TYPE), UUIDField("ARUUID", None), ShortField("SessionKey", 0), MACField("CMResponderMacAdd", None), ShortField("CMResponderUDPRTPort", 0x8892), ] # default block_type value block_type = 0x8101 # IOCRBlockRe{q,s} class IOCRAPIObject(Packet): """API item descriptor used in API description of IOCR blocks""" name = "API item" fields_desc = [ XShortField("SlotNumber", 0), XShortField("SubslotNumber", 0), ShortField("FrameOffset", 0), ] def extract_padding(self, s): return None, s # No extra payload class IOCRAPI(Packet): """API description used in IOCR block""" name = "API" fields_desc = [ XIntField("API", 0), FieldLenField("NumberOfIODataObjects", None, count_of="IODataObjects"), PacketListField("IODataObjects", [], IOCRAPIObject, count_from=lambda p: p.NumberOfIODataObjects), FieldLenField("NumberOfIOCS", None, count_of="IOCSs"), PacketListField("IOCSs", [], IOCRAPIObject, count_from=lambda p: p.NumberOfIOCS), ] def extract_padding(self, s): return None, s # No extra payload class IOCRBlockReq(Block): """IO Connection Relationship block request""" fields_desc = [ BlockHeader, XShortEnumField("IOCRType", 1, IOCR_TYPE), XShortField("IOCRReference", 1), XShortField("LT", 0x8892), # IOCRProperties BitField("IOCRProperties_reserved3", 0, 8), BitField("IOCRProperties_reserved2", 0, 11), BitField("IOCRProperties_reserved1", 0, 9), BitEnumField("IOCRProperties_RTClass", 0, 4, IOCR_BLOCK_REQ_IOCR_PROPERTIES), ShortField("DataLength", 40), XShortField("FrameID", 0x8000), ShortField("SendClockFactor", 32), ShortField("ReductionRatio", 32), ShortField("Phase", 1), ShortField("Sequence", 0), XIntField("FrameSendOffset", 0xffffffff), ShortField("WatchdogFactor", 10), ShortField("DataHoldFactor", 10), # IOCRTagHeader BitEnumField("IOCRTagHeader_IOUserPriority", 6, 3, {6: "IOCRPriority"}), BitField("IOCRTagHeader_reserved", 0, 1), BitField("IOCRTagHeader_IOCRVLANID", 0, 12), MACField("IOCRMulticastMACAdd", None), FieldLenField("NumberOfAPIs", None, fmt="H", count_of="APIs"), PacketListField("APIs", [], IOCRAPI, count_from=lambda p: p.NumberOfAPIs) ] # default block_type value block_type = 0x0102 def get_response(self): """Generate the response block of this request. Careful: it only sets the fields which can be set from the request """ res = IOCRBlockRes() for field in ["IOCRType", "IOCRReference", "FrameID"]: res.setfieldval(field, self.getfieldval(field)) return res class IOCRBlockRes(Block): """IO Connection Relationship block response""" fields_desc = [ BlockHeader, XShortEnumField("IOCRType", 1, IOCR_TYPE), XShortField("IOCRReference", 1), XShortField("FrameID", 0x8000), ] # default block_type value block_type = 0x8102 # ExpectedSubmoduleBlockReq class ExpectedSubmoduleDataDescription(Packet): """Description of the data of a submodule""" name = "Data Description" fields_desc = [ XShortEnumField("DataDescription", 0, {1: "Input", 2: "Output"}), ShortField("SubmoduleDataLength", 0), ByteField("LengthIOCS", 0), ByteField("LengthIOPS", 0), ] def extract_padding(self, s): return None, s # No extra payload class ExpectedSubmodule(Packet): """Description of a submodule in an API of an expected submodule""" name = "Submodule" fields_desc = [ XShortField("SubslotNumber", 0), XIntField("SubmoduleIdentNumber", 0), # Submodule Properties XByteField("SubmoduleProperties_reserved_2", 0), BitField("SubmoduleProperties_reserved_1", 0, 2), BitField("SubmoduleProperties_DiscardIOXS", 0, 1), BitField("SubmoduleProperties_ReduceOutputSubmoduleDataLength", 0, 1), BitField("SubmoduleProperties_ReduceInputSubmoduleDataLength", 0, 1), BitField("SubmoduleProperties_SharedInput", 0, 1), BitEnumField("SubmoduleProperties_Type", 0, 2, ["NO_IO", "INPUT", "OUTPUT", "INPUT_OUTPUT"]), PacketListField( "DataDescription", [], ExpectedSubmoduleDataDescription, count_from=lambda p: 2 if p.SubmoduleProperties_Type == 3 else 1 ), ] def extract_padding(self, s): return None, s # No extra payload class ExpectedSubmoduleAPI(Packet): """Description of an API in the expected submodules blocks""" name = "API" fields_desc = [ XIntField("API", 0), XShortField("SlotNumber", 0), XIntField("ModuleIdentNumber", 0), XShortField("ModuleProperties", 0), FieldLenField("NumberOfSubmodules", None, fmt="H", count_of="Submodules"), PacketListField("Submodules", [], ExpectedSubmodule, count_from=lambda p: p.NumberOfSubmodules), ] def extract_padding(self, s): return None, s # No extra payload class ExpectedSubmoduleBlockReq(Block): """Expected submodule block request""" fields_desc = [ BlockHeader, FieldLenField("NumberOfAPIs", None, fmt="H", count_of="APIs"), PacketListField("APIs", [], ExpectedSubmoduleAPI, count_from=lambda p: p.NumberOfAPIs) ] # default block_type value block_type = 0x0104 def get_response(self): """Generate the response block of this request. Careful: it only sets the fields which can be set from the request """ return None # no response associated (should be modulediffblock) # PROFINET IO DCE/RPC PDU PNIO_RPC_BLOCK_ASSOCIATION = { # requests "0101": ARBlockReq, "0102": IOCRBlockReq, "0104": ExpectedSubmoduleBlockReq, "0110": IODControlReq, "0111": IODControlReq, "0112": IODControlReq, "0113": IODControlReq, "0114": IODControlReq, "0116": IODControlReq, "0117": IODControlReq, "0118": IODControlReq, # responses "8101": ARBlockRes, "8102": IOCRBlockRes, "8110": IODControlRes, "8111": IODControlRes, "8112": IODControlRes, "8113": IODControlRes, "8114": IODControlRes, "8116": IODControlRes, "8117": IODControlRes, "8118": IODControlRes, } def _guess_block_class(_pkt, *args, **kargs): cls = Block # Default block type # Special cases if _pkt[:2] == b'\x00\x08': # IODWriteReq if _pkt[34:36] == b'\xe0@': # IODWriteMultipleReq cls = IODWriteMultipleReq else: cls = IODWriteReq elif _pkt[:2] == b'\x80\x08': # IODWriteRes if _pkt[34:36] == b'\xe0@': # IODWriteMultipleRes cls = IODWriteMultipleRes else: cls = IODWriteRes # Common cases else: btype = bytes_hex(_pkt[:2]).decode("utf8") if btype in PNIO_RPC_BLOCK_ASSOCIATION: cls = PNIO_RPC_BLOCK_ASSOCIATION[btype] return cls(_pkt, *args, **kargs) def dce_rpc_endianess(pkt): """determine the symbol for the endianness of a the DCE/RPC""" try: endianness = pkt.underlayer.endianness except AttributeError: # handle the case where a PNIO class is # built without its DCE-RPC under-layer # i.e there is no endianness indication return "!" if endianness == 0: # big endian return ">" elif endianness == 1: # little endian return "<" else: return "!" class NDRData(Packet): """Base NDRData to centralize some fields. It can't be instantiated""" fields_desc = [ EndiannessField( FieldLenField("args_length", None, fmt="I", length_of="blocks"), endianess_from=dce_rpc_endianess), EndiannessField( FieldLenField("max_count", None, fmt="I", length_of="blocks"), endianess_from=dce_rpc_endianess), EndiannessField( IntField("offset", 0), endianess_from=dce_rpc_endianess), EndiannessField( FieldLenField("actual_count", None, fmt="I", length_of="blocks"), endianess_from=dce_rpc_endianess), PacketListField("blocks", [], _guess_block_class, length_from=lambda p: p.args_length) ] def __new__(cls, name, bases, dct): raise NotImplementedError() class PNIOServiceReqPDU(Packet): """PNIO PDU for RPC Request""" fields_desc = [ EndiannessField( FieldLenField("args_max", None, fmt="I", length_of="blocks"), endianess_from=dce_rpc_endianess), NDRData, ] overload_fields = { DceRpc: { # random object_uuid in the appropriate range "object_uuid": RandUUID("dea00000-6c97-11d1-8271-******"), # interface uuid to send to a device "interface_uuid": RPC_INTERFACE_UUID["UUID_IO_DeviceInterface"], # Request DCE/RPC type "type": 0, }, } @classmethod def can_handle(cls, pkt, rpc): """heuristical guess_payload_class""" # type = 0 => request if rpc.getfieldval("type") == 0 and \ rpc.object_uuid.startswith("dea00000-6c97-11d1-8271-"): return True return False DceRpcPayload.register_possible_payload(PNIOServiceReqPDU) class PNIOServiceResPDU(Packet): """PNIO PDU for RPC Response""" fields_desc = [ EndiannessField(IntEnumField("status", 0, ["OK"]), endianess_from=dce_rpc_endianess), NDRData, ] overload_fields = { DceRpc: { # random object_uuid in the appropriate range "object_uuid": RandUUID("dea00000-6c97-11d1-8271-******"), # interface uuid to send to a host "interface_uuid": RPC_INTERFACE_UUID[ "UUID_IO_ControllerInterface"], # Request DCE/RPC type "type": 2, }, } @classmethod def can_handle(cls, pkt, rpc): """heuristical guess_payload_class""" # type = 2 => response if rpc.getfieldval("type") == 2 and \ rpc.object_uuid.startswith("dea00000-6c97-11d1-8271-"): return True return False DceRpcPayload.register_possible_payload(PNIOServiceResPDU)

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import struct from scapy.packet import Packet, bind_layers from scapy.config import conf from scapy.fields import BitField, ByteField, BitEnumField, \ FieldLenField, FieldListField, IntField, IntEnumField, \ LenField, MACField, PadField, PacketField, PacketListField, \ ShortEnumField, ShortField, StrFixedLenField, StrLenField, \ XByteField, XIntField, XShortEnumField, XShortField, ConditionalField from scapy.contrib.dce_rpc import DceRpc, EndiannessField, DceRpcPayload, \ UUIDField, RandUUID from scapy.compat import bytes_hex BLOCK_TYPES_ENUM = { 0x0000: "AlarmNotification_High", 0x0001: "AlarmNotification_Low", 0x0008: "IODWriteReqHeader", 0x0009: "IODReadReqHeader", 0x0010: "DiagnosisData", 0x0012: "ExpectedIdentificationData", 0x0013: "RealIdentificationData", 0x0014: "SubsituteValue", 0x0015: "RecordInputDataObjectElement", 0x0016: "RecordOutputDataObjectElement", 0x0018: "ARData", 0x0019: "LogBookData", 0x001a: "APIData", 0x001b: "SRLData", 0x0020: "I&M0", 0x0021: "I&M1", 0x0022: "I&M2", 0x0023: "I&M3", 0x0024: "I&M4", 0x0030: "I&M0FilterDataSubmodule", 0x0031: "I&M0FilterDataModule", 0x0032: "I&M0FilterDataDevice", 0x0101: "ARBlockReq", 0x0102: "IOCRBlockReq", 0x0103: "AlarmCRBlockReq", 0x0104: "ExpectedSubmoduleBlockReq", 0x0105: "PrmServerBlockReq", 0x0106: "MCRBlockReq", 0x0107: "ARRPCBlockReq", 0x0108: "ARVendorBlockReq", 0x0109: "IRInfoBlock", 0x010a: "SRInfoBlock", 0x010b: "ARFSUBlock", 0x0110: "IODBlockReq_connect_end", 0x0111: "IODBlockReq_plug", 0x0112: "IOXBlockReq_connect", 0x0113: "IOXBlockReq_plug", 0x0114: "ReleaseBlockReq", 0x0116: "IOXBlockReq_companion", 0x0117: "IOXBlockReq_rt_class_3", 0x0118: "IODBlockReq_connect_begin", 0x0119: "SubmoduleListBlock", 0x0200: "PDPortDataCheck", 0x0201: "PdevData", 0x0202: "PDPortDataAdjust", 0x0203: "PDSyncData", 0x0204: "IsochronousModeData", 0x0205: "PDIRData", 0x0206: "PDIRGlobalData", 0x0207: "PDIRFrameData", 0x0208: "PDIRBeginEndData", 0x0209: "AdjustDomainBoundary", 0x020a: "SubBlock_check_Peers", 0x020b: "SubBlock_check_LineDelay", 0x020c: "SubBlock_check_MAUType", 0x020e: "AdjustMAUType", 0x020f: "PDPortDataReal", 0x0210: "AdjustMulticastBoundary", 0x0211: "PDInterfaceMrpDataAdjust", 0x0212: "PDInterfaceMrpDataReal", 0x0213: "PDInterfaceMrpDataCheck", 0x0214: "PDPortMrpDataAdjust", 0x0215: "PDPortMrpDataReal", 0x0216: "MrpManagerParams", 0x0217: "MrpClientParams", 0x0219: "MrpRingStateData", 0x021b: "AdjustLinkState", 0x021c: "CheckLinkState", 0x021e: "CheckSyncDifference", 0x021f: "CheckMAUTypeDifference", 0x0220: "PDPortFODataReal", 0x0221: "FiberOpticManufacturerSpecific", 0x0222: "PDPortFODataAdjust", 0x0223: "PDPortFODataCheck", 0x0224: "AdjustPeerToPeerBoundary", 0x0225: "AdjustDCPBoundary", 0x0226: "AdjustPreambleLength", 0x0228: "FiberOpticDiagnosisInfo", 0x022a: "PDIRSubframeData", 0x022b: "SubframeBlock", 0x022d: "PDTimeData", 0x0230: "PDNCDataCheck", 0x0231: "MrpInstanceDataAdjustBlock", 0x0232: "MrpInstanceDataRealBlock", 0x0233: "MrpInstanceDataCheckBlock", 0x0240: "PDInterfaceDataReal", 0x0250: "PDInterfaceAdjust", 0x0251: "PDPortStatistic", 0x0400: "MultipleBlockHeader", 0x0401: "COContainerContent", 0x0500: "RecordDataReadQuery", 0x0600: "FSHelloBlock", 0x0601: "FSParameterBlock", 0x0608: "PDInterfaceFSUDataAdjust", 0x0609: "ARFSUDataAdjust", 0x0700: "AutoConfiguration", 0x0701: "AutoConfigurationCommunication", 0x0702: "AutoConfigurationConfiguration", 0x0703: "AutoConfigurationIsochronous", 0x0A00: "UploadBLOBQuery", 0x0A01: "UploadBLOB", 0x0A02: "NestedDiagnosisInfo", 0x0F00: "MaintenanceItem", 0x0F01: "UploadRecord", 0x0F02: "iParameterItem", 0x0F03: "RetrieveRecord", 0x0F04: "RetrieveAllRecord", 0x8001: "AlarmAckHigh", 0x8002: "AlarmAckLow", 0x8008: "IODWriteResHeader", 0x8009: "IODReadResHeader", 0x8101: "ARBlockRes", 0x8102: "IOCRBlockRes", 0x8103: "AlarmCRBlockRes", 0x8104: "ModuleDiffBlock", 0x8105: "PrmServerBlockRes", 0x8106: "ARServerBlockRes", 0x8107: "ARRPCBlockRes", 0x8108: "ARVendorBlockRes", 0x8110: "IODBlockRes_connect_end", 0x8111: "IODBlockRes_plug", 0x8112: "IOXBlockRes_connect", 0x8113: "IOXBlockRes_plug", 0x8114: "ReleaseBlockRes", 0x8116: "IOXBlockRes_companion", 0x8117: "IOXBlockRes_rt_class_3", 0x8118: "IODBlockRes_connect_begin", } IOD_WRITE_REQ_INDEX = { 0x8000: "ExpectedIdentificationData_subslot", 0x8001: "RealIdentificationData_subslot", 0x800a: "Diagnosis_channel_subslot", 0x800b: "Diagnosis_all_subslot", 0x800c: "Diagnosis_Maintenance_subslot", 0x8010: "Maintenance_required_in_channel_subslot", 0x8011: "Maintenance_demanded_in_channel_subslot", 0x8012: "Maintenance_required_in_all_channels_subslot", 0x8013: "Maintenance_demanded_in_all_channels_subslot", 0x801e: "SubstitueValue_subslot", 0x8020: "PDIRSubframeData_subslot", 0x8028: "RecordInputDataObjectElement_subslot", 0x8029: "RecordOutputDataObjectElement_subslot", 0x802a: "PDPortDataReal_subslot", 0x802b: "PDPortDataCheck_subslot", 0x802c: "PDIRData_subslot", 0x802d: "Expected_PDSyncData_subslot", 0x802f: "PDPortDataAdjust_subslot", 0x8030: "IsochronousModeData_subslot", 0x8031: "Expected_PDTimeData_subslot", 0x8050: "PDInterfaceMrpDataReal_subslot", 0x8051: "PDInterfaceMrpDataCheck_subslot", 0x8052: "PDInterfaceMrpDataAdjust_subslot", 0x8053: "PDPortMrpDataAdjust_subslot", 0x8054: "PDPortMrpDataReal_subslot", 0x8060: "PDPortFODataReal_subslot", 0x8061: "PDPortFODataCheck_subslot", 0x8062: "PDPortFODataAdjust_subslot", 0x8070: "PdNCDataCheck_subslot", 0x8071: "PDInterfaceAdjust_subslot", 0x8072: "PDPortStatistic_subslot", 0x8080: "PDInterfaceDataReal_subslot", 0x8090: "Expected_PDInterfaceFSUDataAdjust", 0x80a0: "Energy_saving_profile_record_0", 0x80b0: "CombinedObjectContainer", 0x80c0: "Sequence_events_profile_record_0", 0xaff0: "I&M0", 0xaff1: "I&M1", 0xaff2: "I&M2", 0xaff3: "I&M3", 0xaff4: "I&M4", 0xc000: "Expect edIdentificationData_slot", 0xc001: "RealId entificationData_slot", 0xc00a: "Diagno sis_channel_slot", 0xc00b: "Diagnosis_all_slot", 0xc00c: "Diagnosis_Maintenance_slot", 0xc010: "Maintenance_required_in_channel_slot", 0xc011: "Maintenance_demanded_in_channel_slot", 0xc012: "Maintenance_required_in_all_channels_slot", 0xc013: "Maintenance_demanded_in_all_channels_slot", 0xe000: "ExpectedIdentificationData_AR", 0xe001: "RealIdentificationData_AR", 0xe002: "ModuleDiffBlock_AR", 0xe00a: "Diagnosis_channel_AR", 0xe00b: "Diagnosis_all_AR", 0xe00c: "Diagnosis_Maintenance_AR", 0xe010: "Maintenance_required_in_channel_AR", 0xe011: "Maintenance_demanded_in_channel_AR", 0xe012: "Maintenance_required_in_all_channels_AR", 0xe013: "Maintenance_demanded_in_all_channels_AR", 0xe040: "WriteMultiple", 0xe050: "ARFSUDataAdjust_AR", 0xf000: "RealIdentificationData_API", 0xf00a: "Diagnosis_channel_API", 0xf00b: "Diagnosis_all_API", 0xf00c: "Diagnosis_Maintenance_API", 0xf010: "Maintenance_required_in_channel_API", 0xf011: "Maintenance_demanded_in_channel_API", 0xf012: "Maintenance_required_in_all_channels_API", 0xf013: "Maintenance_demanded_in_all_channels_API", 0xf020: "ARData_API", 0xf80c: "Diagnosis_Maintenance_device", 0xf820: "ARData", 0xf821: "APIData", 0xf830: "LogBookData", 0xf831: "PdevData", 0xf840: "I&M0FilterData", 0xf841: "PDRealData", 0xf842: "PDExpectedData", 0xf850: "AutoConfiguration", 0xf860: "GSD_upload", 0xf861: "Nested_Diagnosis_info", 0xfbff: "Trigger_index_CMSM", } AR_TYPE = { 0x0001: "IOCARSingle", 0x0006: "IOSAR", 0x0010: "IOCARSingle_RT_CLASS_3", 0x0020: "IOCARSR", } IOCR_TYPE = { 0x0001: "InputCR", 0x0002: "OutputCR", 0x0003: "MulticastProviderCR", 0x0004: "MulticastConsumerCR", } IOCR_BLOCK_REQ_IOCR_PROPERTIES = { 0x1: "RT_CLASS_1", 0x2: "RT_CLASS_2", 0x3: "RT_CLASS_3", 0x4: "RT_CLASS_UDP", } RPC_INTERFACE_UUID = { "UUID_IO_DeviceInterface": "dea00001-6c97-11d1-8271-00a02442df7d", "UUID_IO_ControllerInterface": "dea00002-6c97-11d1-8271-00a02442df7d", "UUID_IO_SupervisorInterface": "dea00003-6c97-11d1-8271-00a02442df7d", "UUID_IO_ParameterServerInterface": "dea00004-6c97-11d1-8271-00a02442df7d", } class BlockHeader(Packet): fields_desc = [ ShortEnumField("block_type", None, BLOCK_TYPES_ENUM), ShortField("block_length", None), ByteField("block_version_high", 1), ByteField("block_version_low", 0), ] def __new__(cls, name, bases, dct): raise NotImplementedError() class Block(Packet): fields_desc = [ BlockHeader, StrLenField("load", "", length_from=lambda pkt: pkt.block_length - 2), ] block_type = 0 def post_build(self, p, pay): if self.block_length is None: length = len(p) - 4 p = p[:2] + struct.pack("!H", length) + p[4:] return Packet.post_build(self, p, pay) def extract_padding(self, s): length = self.payload_length() return s[:length], s[length:] def payload_length(self): return 0 class IODControlReq(Block): fields_desc = [ BlockHeader, StrFixedLenField("padding", "", length=2), UUIDField("ARUUID", None), ShortField("SessionKey", 0), XShortField("AlarmSequenceNumber", 0), BitField("ControlCommand_reserved", 0, 9), BitField("ControlCommand_PrmBegin", 0, 1), BitField("ControlCommand_ReadyForRT_CLASS_3", 0, 1), BitField("ControlCommand_ReadyForCompanion", 0, 1), BitField("ControlCommand_Done", 0, 1), BitField("ControlCommand_Release", 0, 1), BitField("ControlCommand_ApplicationReady", 0, 1), BitField("ControlCommand_PrmEnd", 0, 1), XShortField("ControlBlockProperties", 0) ] def post_build(self, p, pay): if self.block_type is None: if self.ControlCommand_PrmBegin: p = struct.pack("!H", 0x0118) + p[2:] elif self.ControlCommand_ReadyForRT_CLASS_3: p = struct.pack("!H", 0x0117) + p[2:] elif self.ControlCommand_ReadyForCompanion: p = struct.pack("!H", 0x0116) + p[2:] elif self.ControlCommand_Release: p = struct.pack("!H", 0x0114) + p[2:] elif self.ControlCommand_ApplicationReady: if self.AlarmSequenceNumber > 0: p = struct.pack("!H", 0x0113) + p[2:] else: p = struct.pack("!H", 0x0112) + p[2:] elif self.ControlCommand_PrmEnd: if self.AlarmSequenceNumber > 0: p = struct.pack("!H", 0x0111) + p[2:] else: p = struct.pack("!H", 0x0110) + p[2:] return Block.post_build(self, p, pay) def get_response(self): res = IODControlRes() for field in ["ARUUID", "SessionKey", "AlarmSequenceNumber"]: res.setfieldval(field, self.getfieldval(field)) res.block_type = self.block_type + 0x8000 return res class IODControlRes(Block): fields_desc = [ BlockHeader, StrFixedLenField("padding", "", length=2), UUIDField("ARUUID", None), ShortField("SessionKey", 0), XShortField("AlarmSequenceNumber", 0), BitField("ControlCommand_reserved", 0, 9), BitField("ControlCommand_PrmBegin", 0, 1), BitField("ControlCommand_ReadyForRT_CLASS_3", 0, 1), BitField("ControlCommand_ReadyForCompanion", 0, 1), BitField("ControlCommand_Done", 1, 1), BitField("ControlCommand_Release", 0, 1), BitField("ControlCommand_ApplicationReady", 0, 1), BitField("ControlCommand_PrmEnd", 0, 1), XShortField("ControlBlockProperties", 0) ] block_type = 0x8110 class IODWriteReq(Block): fields_desc = [ BlockHeader, ShortField("seqNum", 0), UUIDField("ARUUID", None), XIntField("API", 0), XShortField("slotNumber", 0), XShortField("subslotNumber", 0), StrFixedLenField("padding", "", length=2), XShortEnumField("index", 0, IOD_WRITE_REQ_INDEX), LenField("recordDataLength", None, fmt="I"), StrFixedLenField("RWPadding", "", length=24), ] block_type = 0x0008 def payload_length(self): return self.recordDataLength def get_response(self): res = IODWriteRes() for field in ["seqNum", "ARUUID", "API", "slotNumber", "subslotNumber", "index"]: res.setfieldval(field, self.getfieldval(field)) return res class IODWriteRes(Block): fields_desc = [ BlockHeader, ShortField("seqNum", 0), UUIDField("ARUUID", None), XIntField("API", 0), XShortField("slotNumber", 0), XShortField("subslotNumber", 0), StrFixedLenField("padding", "", length=2), XShortEnumField("index", 0, IOD_WRITE_REQ_INDEX), LenField("recordDataLength", None, fmt="I"), XShortField("additionalValue1", 0), XShortField("additionalValue2", 0), IntEnumField("status", 0, ["OK"]), StrFixedLenField("RWPadding", "", length=16), ] block_type = 0x8008 F_PARAMETERS_BLOCK_ID = [ "No_F_WD_Time2_No_F_iPar_CRC", "No_F_WD_Time2_F_iPar_CRC", "F_WD_Time2_No_F_iPar_CRC", "F_WD_Time2_F_iPar_CRC", "reserved_4", "reserved_5", "reserved_6", "reserved_7" ] class FParametersBlock(Packet): name = "F-Parameters Block" fields_desc = [ BitField("F_Prm_Flag1_Reserved_7", 0, 1), BitField("F_CRC_Seed", 0, 1), BitEnumField("F_CRC_Length", 0, 2, ["CRC-24", "depreciated", "CRC-32", "reserved"]), BitEnumField("F_SIL", 2, 2, ["SIL_1", "SIL_2", "SIL_3", "No_SIL"]), BitField("F_Check_iPar", 0, 1), BitField("F_Check_SeqNr", 0, 1), BitEnumField("F_Par_Version", 1, 2, ["V1", "V2", "reserved_2", "reserved_3"]), BitEnumField("F_Block_ID", 0, 3, F_PARAMETERS_BLOCK_ID), BitField("F_Prm_Flag2_Reserved", 0, 2), BitField("F_Passivation", 0, 1), XShortField("F_Source_Add", 0), XShortField("F_Dest_Add", 0), ShortField("F_WD_Time", 0), ConditionalField( cond=lambda p: p.getfieldval("F_Block_ID") & 0b110 == 0b010, fld=ShortField("F_WD_Time_2", 0)), ConditionalField( cond=lambda p: p.getfieldval("F_Block_ID") & 0b101 == 0b001, fld=XIntField("F_iPar_CRC", 0)), XShortField("F_Par_CRC", 0) ] overload_fields = { IODWriteReq: { "index": 0x100, } } bind_layers(IODWriteReq, FParametersBlock, index=0x0100) bind_layers(FParametersBlock, conf.padding_layer) class PadFieldWithLen(PadField): def i2len(self, pkt, val): fld_len = self._fld.i2len(pkt, val) return fld_len + self.padlen(fld_len) class IODWriteMultipleReq(Block): fields_desc = [ BlockHeader, ShortField("seqNum", 0), UUIDField("ARUUID", None), XIntField("API", 0xffffffff), XShortField("slotNumber", 0xffff), XShortField("subslotNumber", 0xffff), StrFixedLenField("padding", "", length=2), XShortEnumField("index", 0, IOD_WRITE_REQ_INDEX), FieldLenField("recordDataLength", None, fmt="I", length_of="blocks"), StrFixedLenField("RWPadding", "", length=24), FieldListField("blocks", [], PadFieldWithLen(PacketField("", None, IODWriteReq), 4), length_from=lambda pkt: pkt.recordDataLength) ] block_type = 0x0008 index = 0xe040 API = 0xffffffff slotNumber = 0xffff subslotNumber = 0xffff def post_build(self, p, pay): if self.block_length is None: p = p[:2] + struct.pack("!H", 60) + p[4:] fld, val = self.getfield_and_val("blocks") if fld.i2count(self, val) > 0: length = len(val[-1]) pad = fld.field.padlen(length) if pad > 0: p = p[:-pad] if self.recordDataLength is None: val = struct.unpack("!I", p[36:40])[0] val -= pad p = p[:36] + struct.pack("!I", val) + p[40:] return Packet.post_build(self, p, pay) def get_response(self): res = IODWriteMultipleRes() for field in ["seqNum", "ARUUID", "API", "slotNumber", "subslotNumber", "index"]: res.setfieldval(field, self.getfieldval(field)) res_blocks = [] for block in self.getfieldval("blocks"): res_blocks.append(block.get_response()) res.setfieldval("blocks", res_blocks) return res class IODWriteMultipleRes(Block): fields_desc = [ BlockHeader, ShortField("seqNum", 0), UUIDField("ARUUID", None), XIntField("API", 0xffffffff), XShortField("slotNumber", 0xffff), XShortField("subslotNumber", 0xffff), StrFixedLenField("padding", "", length=2), XShortEnumField("index", 0, IOD_WRITE_REQ_INDEX), FieldLenField("recordDataLength", None, fmt="I", length_of="blocks"), XShortField("additionalValue1", 0), XShortField("additionalValue2", 0), IntEnumField("status", 0, ["OK"]), StrFixedLenField("RWPadding", "", length=16), FieldListField("blocks", [], PacketField("", None, IODWriteRes), length_from=lambda pkt: pkt.recordDataLength) ] block_type = 0x8008 index = 0xe040 def post_build(self, p, pay): if self.block_length is None: p = p[:2] + struct.pack("!H", 60) + p[4:] return Packet.post_build(self, p, pay) class ARBlockReq(Block): fields_desc = [ BlockHeader, XShortEnumField("ARType", 1, AR_TYPE), UUIDField("ARUUID", None), ShortField("SessionKey", 0), MACField("CMInitiatorMacAdd", None), UUIDField("CMInitiatorObjectUUID", None), BitField("ARProperties_PullModuleAlarmAllowed", 0, 1), BitEnumField("ARProperties_StartupMode", 0, 1, ["Legacy", "Advanced"]), BitField("ARProperties_reserved_3", 0, 6), BitField("ARProperties_reserved_2", 0, 12), BitField("ARProperties_AcknowledgeCompanionAR", 0, 1), BitEnumField("ARProperties_CompanionAR", 0, 2, ["Single_AR", "First_AR", "Companion_AR", "reserved"]), BitEnumField("ARProperties_DeviceAccess", 0, 1, ["ExpectedSubmodule", "Controlled_by_IO_device_app"]), BitField("ARProperties_reserved_1", 0, 3), BitEnumField("ARProperties_ParametrizationServer", 0, 1, ["External_PrmServer", "CM_Initator"]), BitField("ARProperties_SupervisorTakeoverAllowed", 0, 1), BitEnumField("ARProperties_State", 1, 3, {1: "Active"}), ShortField("CMInitiatorActivityTimeoutFactor", 1000), ShortField("CMInitiatorUDPRTPort", 0x8892), FieldLenField("StationNameLength", None, fmt="H", length_of="CMInitiatorStationName"), StrLenField("CMInitiatorStationName", "", length_from=lambda pkt: pkt.StationNameLength), ] block_type = 0x0101 def get_response(self): res = ARBlockRes() for field in ["ARType", "ARUUID", "SessionKey"]: res.setfieldval(field, self.getfieldval(field)) return res class ARBlockRes(Block): fields_desc = [ BlockHeader, XShortEnumField("ARType", 1, AR_TYPE), UUIDField("ARUUID", None), ShortField("SessionKey", 0), MACField("CMResponderMacAdd", None), ShortField("CMResponderUDPRTPort", 0x8892), ] block_type = 0x8101 class IOCRAPIObject(Packet): name = "API item" fields_desc = [ XShortField("SlotNumber", 0), XShortField("SubslotNumber", 0), ShortField("FrameOffset", 0), ] def extract_padding(self, s): return None, s class IOCRAPI(Packet): name = "API" fields_desc = [ XIntField("API", 0), FieldLenField("NumberOfIODataObjects", None, count_of="IODataObjects"), PacketListField("IODataObjects", [], IOCRAPIObject, count_from=lambda p: p.NumberOfIODataObjects), FieldLenField("NumberOfIOCS", None, count_of="IOCSs"), PacketListField("IOCSs", [], IOCRAPIObject, count_from=lambda p: p.NumberOfIOCS), ] def extract_padding(self, s): return None, s class IOCRBlockReq(Block): fields_desc = [ BlockHeader, XShortEnumField("IOCRType", 1, IOCR_TYPE), XShortField("IOCRReference", 1), XShortField("LT", 0x8892), BitField("IOCRProperties_reserved3", 0, 8), BitField("IOCRProperties_reserved2", 0, 11), BitField("IOCRProperties_reserved1", 0, 9), BitEnumField("IOCRProperties_RTClass", 0, 4, IOCR_BLOCK_REQ_IOCR_PROPERTIES), ShortField("DataLength", 40), XShortField("FrameID", 0x8000), ShortField("SendClockFactor", 32), ShortField("ReductionRatio", 32), ShortField("Phase", 1), ShortField("Sequence", 0), XIntField("FrameSendOffset", 0xffffffff), ShortField("WatchdogFactor", 10), ShortField("DataHoldFactor", 10), BitEnumField("IOCRTagHeader_IOUserPriority", 6, 3, {6: "IOCRPriority"}), BitField("IOCRTagHeader_reserved", 0, 1), BitField("IOCRTagHeader_IOCRVLANID", 0, 12), MACField("IOCRMulticastMACAdd", None), FieldLenField("NumberOfAPIs", None, fmt="H", count_of="APIs"), PacketListField("APIs", [], IOCRAPI, count_from=lambda p: p.NumberOfAPIs) ] block_type = 0x0102 def get_response(self): res = IOCRBlockRes() for field in ["IOCRType", "IOCRReference", "FrameID"]: res.setfieldval(field, self.getfieldval(field)) return res class IOCRBlockRes(Block): fields_desc = [ BlockHeader, XShortEnumField("IOCRType", 1, IOCR_TYPE), XShortField("IOCRReference", 1), XShortField("FrameID", 0x8000), ] block_type = 0x8102 class ExpectedSubmoduleDataDescription(Packet): name = "Data Description" fields_desc = [ XShortEnumField("DataDescription", 0, {1: "Input", 2: "Output"}), ShortField("SubmoduleDataLength", 0), ByteField("LengthIOCS", 0), ByteField("LengthIOPS", 0), ] def extract_padding(self, s): return None, s class ExpectedSubmodule(Packet): name = "Submodule" fields_desc = [ XShortField("SubslotNumber", 0), XIntField("SubmoduleIdentNumber", 0), XByteField("SubmoduleProperties_reserved_2", 0), BitField("SubmoduleProperties_reserved_1", 0, 2), BitField("SubmoduleProperties_DiscardIOXS", 0, 1), BitField("SubmoduleProperties_ReduceOutputSubmoduleDataLength", 0, 1), BitField("SubmoduleProperties_ReduceInputSubmoduleDataLength", 0, 1), BitField("SubmoduleProperties_SharedInput", 0, 1), BitEnumField("SubmoduleProperties_Type", 0, 2, ["NO_IO", "INPUT", "OUTPUT", "INPUT_OUTPUT"]), PacketListField( "DataDescription", [], ExpectedSubmoduleDataDescription, count_from=lambda p: 2 if p.SubmoduleProperties_Type == 3 else 1 ), ] def extract_padding(self, s): return None, s class ExpectedSubmoduleAPI(Packet): name = "API" fields_desc = [ XIntField("API", 0), XShortField("SlotNumber", 0), XIntField("ModuleIdentNumber", 0), XShortField("ModuleProperties", 0), FieldLenField("NumberOfSubmodules", None, fmt="H", count_of="Submodules"), PacketListField("Submodules", [], ExpectedSubmodule, count_from=lambda p: p.NumberOfSubmodules), ] def extract_padding(self, s): return None, s class ExpectedSubmoduleBlockReq(Block): fields_desc = [ BlockHeader, FieldLenField("NumberOfAPIs", None, fmt="H", count_of="APIs"), PacketListField("APIs", [], ExpectedSubmoduleAPI, count_from=lambda p: p.NumberOfAPIs) ] block_type = 0x0104 def get_response(self): return None PNIO_RPC_BLOCK_ASSOCIATION = { "0101": ARBlockReq, "0102": IOCRBlockReq, "0104": ExpectedSubmoduleBlockReq, "0110": IODControlReq, "0111": IODControlReq, "0112": IODControlReq, "0113": IODControlReq, "0114": IODControlReq, "0116": IODControlReq, "0117": IODControlReq, "0118": IODControlReq, "8101": ARBlockRes, "8102": IOCRBlockRes, "8110": IODControlRes, "8111": IODControlRes, "8112": IODControlRes, "8113": IODControlRes, "8114": IODControlRes, "8116": IODControlRes, "8117": IODControlRes, "8118": IODControlRes, } def _guess_block_class(_pkt, *args, **kargs): cls = Block if _pkt[:2] == b'\x00\x08': if _pkt[34:36] == b'\xe0@': cls = IODWriteMultipleReq else: cls = IODWriteReq elif _pkt[:2] == b'\x80\x08': if _pkt[34:36] == b'\xe0@': cls = IODWriteMultipleRes else: cls = IODWriteRes else: btype = bytes_hex(_pkt[:2]).decode("utf8") if btype in PNIO_RPC_BLOCK_ASSOCIATION: cls = PNIO_RPC_BLOCK_ASSOCIATION[btype] return cls(_pkt, *args, **kargs) def dce_rpc_endianess(pkt): try: endianness = pkt.underlayer.endianness except AttributeError: return "!" if endianness == 0: return ">" elif endianness == 1: return "<" else: return "!" class NDRData(Packet): fields_desc = [ EndiannessField( FieldLenField("args_length", None, fmt="I", length_of="blocks"), endianess_from=dce_rpc_endianess), EndiannessField( FieldLenField("max_count", None, fmt="I", length_of="blocks"), endianess_from=dce_rpc_endianess), EndiannessField( IntField("offset", 0), endianess_from=dce_rpc_endianess), EndiannessField( FieldLenField("actual_count", None, fmt="I", length_of="blocks"), endianess_from=dce_rpc_endianess), PacketListField("blocks", [], _guess_block_class, length_from=lambda p: p.args_length) ] def __new__(cls, name, bases, dct): raise NotImplementedError() class PNIOServiceReqPDU(Packet): fields_desc = [ EndiannessField( FieldLenField("args_max", None, fmt="I", length_of="blocks"), endianess_from=dce_rpc_endianess), NDRData, ] overload_fields = { DceRpc: { "object_uuid": RandUUID("dea00000-6c97-11d1-8271-******"), "interface_uuid": RPC_INTERFACE_UUID["UUID_IO_DeviceInterface"], "type": 0, }, } @classmethod def can_handle(cls, pkt, rpc): if rpc.getfieldval("type") == 0 and \ rpc.object_uuid.startswith("dea00000-6c97-11d1-8271-"): return True return False DceRpcPayload.register_possible_payload(PNIOServiceReqPDU) class PNIOServiceResPDU(Packet): fields_desc = [ EndiannessField(IntEnumField("status", 0, ["OK"]), endianess_from=dce_rpc_endianess), NDRData, ] overload_fields = { DceRpc: { "object_uuid": RandUUID("dea00000-6c97-11d1-8271-******"), "interface_uuid": RPC_INTERFACE_UUID[ "UUID_IO_ControllerInterface"], "type": 2, }, } @classmethod def can_handle(cls, pkt, rpc): if rpc.getfieldval("type") == 2 and \ rpc.object_uuid.startswith("dea00000-6c97-11d1-8271-"): return True return False DceRpcPayload.register_possible_payload(PNIOServiceResPDU)

true

f7fc3d008c5b7727185b7528b46c38863370cfb3

5,894

py

Python

assignment2_v2/cs231n/optim.py

tokudaek/cs231n_spring18_assignments

641a8e6005782225f3f37a3dac35045c5f130eb4

[ "MIT" ]

1

2021-12-25T14:34:07.000Z

assignment2_v2/cs231n/optim.py

tokudaek/cs231n_spring18_assignments

641a8e6005782225f3f37a3dac35045c5f130eb4

[ "MIT" ]

9

2020-11-18T21:23:25.000Z

2022-03-11T23:27:26.000Z

CS231n/assignment2/cs231n/optim.py

vgutta/ML

cf10f0768d95c4bcb7d34e116fd606a019dfb6ba

[ "MIT" ]

null

import numpy as np """ This file implements various first-order update rules that are commonly used for training neural networks. Each update rule accepts current weights and the gradient of the loss with respect to those weights and produces the next set of weights. Each update rule has the same interface: def update(w, dw, config=None): Inputs: - w: A numpy array giving the current weights. - dw: A numpy array of the same shape as w giving the gradient of the loss with respect to w. - config: A dictionary containing hyperparameter values such as learning rate, momentum, etc. If the update rule requires caching values over many iterations, then config will also hold these cached values. Returns: - next_w: The next point after the update. - config: The config dictionary to be passed to the next iteration of the update rule. NOTE: For most update rules, the default learning rate will probably not perform well; however the default values of the other hyperparameters should work well for a variety of different problems. For efficiency, update rules may perform in-place updates, mutating w and setting next_w equal to w. """ def sgd(w, dw, config=None): """ Performs vanilla stochastic gradient descent. config format: - learning_rate: Scalar learning rate. """ if config is None: config = {} config.setdefault('learning_rate', 1e-2) w -= config['learning_rate'] * dw return w, config def sgd_momentum(w, dw, config=None): """ Performs stochastic gradient descent with momentum. config format: - learning_rate: Scalar learning rate. - momentum: Scalar between 0 and 1 giving the momentum value. Setting momentum = 0 reduces to sgd. - velocity: A numpy array of the same shape as w and dw used to store a moving average of the gradients. """ if config is None: config = {} config.setdefault('learning_rate', 1e-2) config.setdefault('momentum', 0.9) v = config.get('velocity', np.zeros_like(w)) next_w = None ########################################################################### # TODO: Implement the momentum update formula. Store the updated value in # # the next_w variable. You should also use and update the velocity v. # ########################################################################### pass ########################################################################### # END OF YOUR CODE # ########################################################################### config['velocity'] = v return next_w, config def rmsprop(w, dw, config=None): """ Uses the RMSProp update rule, which uses a moving average of squared gradient values to set adaptive per-parameter learning rates. config format: - learning_rate: Scalar learning rate. - decay_rate: Scalar between 0 and 1 giving the decay rate for the squared gradient cache. - epsilon: Small scalar used for smoothing to avoid dividing by zero. - cache: Moving average of second moments of gradients. """ if config is None: config = {} config.setdefault('learning_rate', 1e-2) config.setdefault('decay_rate', 0.99) config.setdefault('epsilon', 1e-8) config.setdefault('cache', np.zeros_like(w)) next_w = None ########################################################################### # TODO: Implement the RMSprop update formula, storing the next value of w # # in the next_w variable. Don't forget to update cache value stored in # # config['cache']. # ########################################################################### pass ########################################################################### # END OF YOUR CODE # ########################################################################### return next_w, config def adam(w, dw, config=None): """ Uses the Adam update rule, which incorporates moving averages of both the gradient and its square and a bias correction term. config format: - learning_rate: Scalar learning rate. - beta1: Decay rate for moving average of first moment of gradient. - beta2: Decay rate for moving average of second moment of gradient. - epsilon: Small scalar used for smoothing to avoid dividing by zero. - m: Moving average of gradient. - v: Moving average of squared gradient. - t: Iteration number. """ if config is None: config = {} config.setdefault('learning_rate', 1e-3) config.setdefault('beta1', 0.9) config.setdefault('beta2', 0.999) config.setdefault('epsilon', 1e-8) config.setdefault('m', np.zeros_like(w)) config.setdefault('v', np.zeros_like(w)) config.setdefault('t', 0) next_w = None ########################################################################### # TODO: Implement the Adam update formula, storing the next value of w in # # the next_w variable. Don't forget to update the m, v, and t variables # # stored in config. # # # # NOTE: In order to match the reference output, please modify t _before_ # # using it in any calculations. # ########################################################################### pass ########################################################################### # END OF YOUR CODE # ########################################################################### return next_w, config

39.824324

79

0.53512

import numpy as np def sgd(w, dw, config=None): if config is None: config = {} config.setdefault('learning_rate', 1e-2) w -= config['learning_rate'] * dw return w, config def sgd_momentum(w, dw, config=None): if config is None: config = {} config.setdefault('learning_rate', 1e-2) config.setdefault('momentum', 0.9) v = config.get('velocity', np.zeros_like(w)) next_w = None

true

f7fc3da2825a9126836952a0447a8efc3413cd6a

5,062

py

Python

sandbox/ours/policies/utils.py

jackwilkinson255/mbmpo_master

e9e0eaf542c7895764dcb0bfee28752818124ff2

[ "MIT" ]

28

2018-11-15T14:14:23.000Z

2022-01-10T01:53:43.000Z

sandbox/ignasi/policies/new_policy/utils.py

hongzimao/model_ensemble_meta_learning

8b1351df94dfe530efaff1118022315c8d877774

[ "MIT" ]

3

2019-05-05T23:39:01.000Z

2021-06-15T15:28:06.000Z

sandbox/ignasi/policies/new_policy/utils.py

hongzimao/model_ensemble_meta_learning

8b1351df94dfe530efaff1118022315c8d877774

[ "MIT" ]

14

2018-11-15T16:47:02.000Z

2021-05-28T14:58:01.000Z

import numpy as np from collections import OrderedDict from rllab_maml.core.serializable import Serializable from rllab.misc import logger from rllab_maml.misc.tensor_utils import flatten_tensors, unflatten_tensors from sandbox.ours.core.utils import make_dense_layer_with_bias_transform, forward_dense_bias_transform, \ make_dense_layer import tensorflow as tf from sandbox_maml.rocky.tf.misc.xavier_init import xavier_initializer from sandbox_maml.rocky.tf.core.utils import make_input, make_param_layer, forward_param_layer, forward_dense_layer load_params = True def create_MLP(name, input_shape, output_dim, hidden_sizes, hidden_W_init=xavier_initializer(), hidden_b_init=tf.zeros_initializer(), output_W_init=xavier_initializer(), output_b_init=tf.zeros_initializer(), weight_normalization=False, bias_transform=False, param_noise_std_ph=None): all_params = OrderedDict() cur_shape = input_shape with tf.variable_scope(name): if bias_transform: for idx, hidden_size in enumerate(hidden_sizes): # hidden layers W, b, bias_transform, cur_shape = make_dense_layer_with_bias_transform( cur_shape, num_units=hidden_size, name="hidden_%d" % idx, W=hidden_W_init, b=hidden_b_init, bias_transform=hidden_b_init, weight_norm=weight_normalization, ) all_params['W' + str(idx)] = W all_params['b' + str(idx)] = b all_params['bias_transform' + str(idx)] = bias_transform # output layer W, b, bias_transform, _ = make_dense_layer_with_bias_transform( cur_shape, num_units=output_dim, name='output', W=hidden_W_init, b=hidden_b_init, bias_transform=hidden_b_init, weight_norm=weight_normalization, param_noise_std_ph=param_noise_std_ph ) all_params['W' + str(len(hidden_sizes))] = W all_params['b' + str(len(hidden_sizes))] = b all_params['bias_transform' + str(len(hidden_sizes))] = bias_transform else: for idx, hidden_size in enumerate(hidden_sizes): W, b, cur_shape = make_dense_layer( cur_shape, num_units=hidden_size, name="hidden_%d" % idx, W=hidden_W_init, b=hidden_b_init, weight_norm=weight_normalization, ) all_params['W' + str(idx)] = W all_params['b' + str(idx)] = b W, b, _ = make_dense_layer( cur_shape, num_units=output_dim, name='output', W=output_W_init, b=output_b_init, weight_norm=weight_normalization, param_noise_std_ph=param_noise_std_ph ) all_params['W' + str(len(hidden_sizes))] = W all_params['b' + str(len(hidden_sizes))] = b return all_params def forward_MLP(name, input_shape, n_hidden, hidden_nonlinearity, output_nonlinearity, all_params, input_tensor=None, batch_normalization=False, reuse=True, is_training=False, bias_transform=False): # is_training and reuse are for batch norm, irrelevant if batch_norm set to False # set reuse to False if the first time this func is called. with tf.variable_scope(name): if input_tensor is None: l_in = make_input(shape=input_shape, input_var=None, name='input') else: l_in = input_tensor l_hid = l_in for idx in range(n_hidden): bias_transform_ = all_params['bias_transform' + str(idx)] if bias_transform else None l_hid = forward_dense_bias_transform(l_hid, all_params['W' + str(idx)], all_params['b' + str(idx)], bias_transform=bias_transform_, batch_norm=batch_normalization, nonlinearity=hidden_nonlinearity, scope=str(idx), reuse=reuse, is_training=is_training ) bias_transform = all_params['bias_transform' + str(n_hidden)] if bias_transform else None output = forward_dense_bias_transform(l_hid, all_params['W' + str(n_hidden)], all_params['b' + str(n_hidden)], bias_transform=bias_transform, batch_norm=False, nonlinearity=output_nonlinearity, ) return l_in, output

45.603604

115

0.566179

import numpy as np from collections import OrderedDict from rllab_maml.core.serializable import Serializable from rllab.misc import logger from rllab_maml.misc.tensor_utils import flatten_tensors, unflatten_tensors from sandbox.ours.core.utils import make_dense_layer_with_bias_transform, forward_dense_bias_transform, \ make_dense_layer import tensorflow as tf from sandbox_maml.rocky.tf.misc.xavier_init import xavier_initializer from sandbox_maml.rocky.tf.core.utils import make_input, make_param_layer, forward_param_layer, forward_dense_layer load_params = True def create_MLP(name, input_shape, output_dim, hidden_sizes, hidden_W_init=xavier_initializer(), hidden_b_init=tf.zeros_initializer(), output_W_init=xavier_initializer(), output_b_init=tf.zeros_initializer(), weight_normalization=False, bias_transform=False, param_noise_std_ph=None): all_params = OrderedDict() cur_shape = input_shape with tf.variable_scope(name): if bias_transform: for idx, hidden_size in enumerate(hidden_sizes): W, b, bias_transform, cur_shape = make_dense_layer_with_bias_transform( cur_shape, num_units=hidden_size, name="hidden_%d" % idx, W=hidden_W_init, b=hidden_b_init, bias_transform=hidden_b_init, weight_norm=weight_normalization, ) all_params['W' + str(idx)] = W all_params['b' + str(idx)] = b all_params['bias_transform' + str(idx)] = bias_transform W, b, bias_transform, _ = make_dense_layer_with_bias_transform( cur_shape, num_units=output_dim, name='output', W=hidden_W_init, b=hidden_b_init, bias_transform=hidden_b_init, weight_norm=weight_normalization, param_noise_std_ph=param_noise_std_ph ) all_params['W' + str(len(hidden_sizes))] = W all_params['b' + str(len(hidden_sizes))] = b all_params['bias_transform' + str(len(hidden_sizes))] = bias_transform else: for idx, hidden_size in enumerate(hidden_sizes): W, b, cur_shape = make_dense_layer( cur_shape, num_units=hidden_size, name="hidden_%d" % idx, W=hidden_W_init, b=hidden_b_init, weight_norm=weight_normalization, ) all_params['W' + str(idx)] = W all_params['b' + str(idx)] = b W, b, _ = make_dense_layer( cur_shape, num_units=output_dim, name='output', W=output_W_init, b=output_b_init, weight_norm=weight_normalization, param_noise_std_ph=param_noise_std_ph ) all_params['W' + str(len(hidden_sizes))] = W all_params['b' + str(len(hidden_sizes))] = b return all_params def forward_MLP(name, input_shape, n_hidden, hidden_nonlinearity, output_nonlinearity, all_params, input_tensor=None, batch_normalization=False, reuse=True, is_training=False, bias_transform=False): with tf.variable_scope(name): if input_tensor is None: l_in = make_input(shape=input_shape, input_var=None, name='input') else: l_in = input_tensor l_hid = l_in for idx in range(n_hidden): bias_transform_ = all_params['bias_transform' + str(idx)] if bias_transform else None l_hid = forward_dense_bias_transform(l_hid, all_params['W' + str(idx)], all_params['b' + str(idx)], bias_transform=bias_transform_, batch_norm=batch_normalization, nonlinearity=hidden_nonlinearity, scope=str(idx), reuse=reuse, is_training=is_training ) bias_transform = all_params['bias_transform' + str(n_hidden)] if bias_transform else None output = forward_dense_bias_transform(l_hid, all_params['W' + str(n_hidden)], all_params['b' + str(n_hidden)], bias_transform=bias_transform, batch_norm=False, nonlinearity=output_nonlinearity, ) return l_in, output

true

f7fc3dc791c89d5fddee570aa17ebd97f05374de

6,990

py

Python

pySVG/src/pysvg/text.py

Estevo-Aleixo/pysvg

88d2f98eea43fdb16a6d7679048a24985709c850

[ "Unlicense" ]

null

pySVG/src/pysvg/text.py

Estevo-Aleixo/pysvg

88d2f98eea43fdb16a6d7679048a24985709c850

[ "Unlicense" ]

null

pySVG/src/pysvg/text.py

Estevo-Aleixo/pysvg

88d2f98eea43fdb16a6d7679048a24985709c850

[ "Unlicense" ]

null

#!/usr/bin/python # -*- coding: iso-8859-1 -*- ''' (C) 2008, 2009 Kerim Mansour For licensing information please refer to license.txt ''' from attributes import * from core import BaseElement, PointAttrib, DeltaPointAttrib, RotateAttrib class AltGlyphDef(BaseElement, CoreAttrib): """ Class representing the altGlyphDef element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'altGlypfDef') self.setKWARGS(**kwargs) class AltGlyphItem(BaseElement, CoreAttrib): """ Class representing the altGlyphItem element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'altGlypfItem') self.setKWARGS(**kwargs) class GlyphRef(BaseElement, CoreAttrib, ExternalAttrib, StyleAttrib, FontAttrib, XLinkAttrib, PaintAttrib, PointAttrib, DeltaPointAttrib): """ Class representing the glyphRef element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'glyphRef') self.setKWARGS(**kwargs) def set_glyphRef(self, glyphRef): self._attributes['glyphRef'] = glyphRef def get_glyphRef(self): return self._attributes.get('glyphRef') def set_format(self, format): self._attributes['format'] = format def get_format(self): return self._attributes.get('format') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust') class AltGlyph(GlyphRef, ConditionalAttrib, GraphicalEventsAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib, RotateAttrib): """ Class representing the altGlyph element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'altGlyph') self.setKWARGS(**kwargs) def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') class TextPath(BaseElement, CoreAttrib, ConditionalAttrib, ExternalAttrib, StyleAttrib, XLinkAttrib, FontAttrib, PaintAttrib, GraphicalEventsAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib): """ Class representing the textPath element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'textPath') self.setKWARGS(**kwargs) def set_startOffset(self, startOffset): self._attributes['startOffset'] = startOffset def get_startOffset(self): return self._attributes.get('startOffset') def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust') def set_method(self, method): self._attributes['method'] = method def get_method(self): return self._attributes.get('method') def set_spacing(self, spacing): self._attributes['spacing'] = spacing def get_spacing(self): return self._attributes.get('spacing') class Tref(BaseElement, CoreAttrib, ConditionalAttrib, ExternalAttrib, StyleAttrib, XLinkAttrib, PointAttrib, DeltaPointAttrib, RotateAttrib, GraphicalEventsAttrib, PaintAttrib, FontAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib): """ Class representing the tref element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'tref') self.setKWARGS(**kwargs) def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust') class Tspan(BaseElement, CoreAttrib, ConditionalAttrib, ExternalAttrib, StyleAttrib, PointAttrib, DeltaPointAttrib, RotateAttrib, GraphicalEventsAttrib, PaintAttrib, FontAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib): """ Class representing the tspan element of an svg doc. """ def __init__(self, x=None, y=None, dx=None, dy=None, rotate=None, textLength=None, lengthAdjust=None, **kwargs): BaseElement.__init__(self, 'tspan') self.set_x(x) self.set_y(y) self.set_dx(dx) self.set_dy(dy) self.set_rotate(rotate) self.set_textLength(textLength) self.set_lengthAdjust(lengthAdjust) self.setKWARGS(**kwargs) def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust') class Text(BaseElement, CoreAttrib, ConditionalAttrib, ExternalAttrib, StyleAttrib, PointAttrib, DeltaPointAttrib, RotateAttrib, GraphicalEventsAttrib, PaintAttrib, FontAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib, TextAttrib): """ Class representing the text element of an svg doc. """ def __init__(self, content=None, x=None, y=None, dx=None, dy=None, rotate=None, textLength=None, lengthAdjust=None, **kwargs): BaseElement.__init__(self, 'text') if content <> None: self.appendTextContent(content) self.set_x(x) self.set_y(y) self.set_dx(dx) self.set_dy(dy) self.set_rotate(rotate) self.set_textLength(textLength) self.set_lengthAdjust(lengthAdjust) self.setKWARGS(**kwargs) def set_transform(self, transform): self._attributes['transform'] = transform def get_transform(self): return self._attributes.get('transform') def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust')

41.117647

293

0.679971

''' (C) 2008, 2009 Kerim Mansour For licensing information please refer to license.txt ''' from attributes import * from core import BaseElement, PointAttrib, DeltaPointAttrib, RotateAttrib class AltGlyphDef(BaseElement, CoreAttrib): """ Class representing the altGlyphDef element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'altGlypfDef') self.setKWARGS(**kwargs) class AltGlyphItem(BaseElement, CoreAttrib): """ Class representing the altGlyphItem element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'altGlypfItem') self.setKWARGS(**kwargs) class GlyphRef(BaseElement, CoreAttrib, ExternalAttrib, StyleAttrib, FontAttrib, XLinkAttrib, PaintAttrib, PointAttrib, DeltaPointAttrib): """ Class representing the glyphRef element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'glyphRef') self.setKWARGS(**kwargs) def set_glyphRef(self, glyphRef): self._attributes['glyphRef'] = glyphRef def get_glyphRef(self): return self._attributes.get('glyphRef') def set_format(self, format): self._attributes['format'] = format def get_format(self): return self._attributes.get('format') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust') class AltGlyph(GlyphRef, ConditionalAttrib, GraphicalEventsAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib, RotateAttrib): """ Class representing the altGlyph element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'altGlyph') self.setKWARGS(**kwargs) def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') class TextPath(BaseElement, CoreAttrib, ConditionalAttrib, ExternalAttrib, StyleAttrib, XLinkAttrib, FontAttrib, PaintAttrib, GraphicalEventsAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib): """ Class representing the textPath element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'textPath') self.setKWARGS(**kwargs) def set_startOffset(self, startOffset): self._attributes['startOffset'] = startOffset def get_startOffset(self): return self._attributes.get('startOffset') def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust') def set_method(self, method): self._attributes['method'] = method def get_method(self): return self._attributes.get('method') def set_spacing(self, spacing): self._attributes['spacing'] = spacing def get_spacing(self): return self._attributes.get('spacing') class Tref(BaseElement, CoreAttrib, ConditionalAttrib, ExternalAttrib, StyleAttrib, XLinkAttrib, PointAttrib, DeltaPointAttrib, RotateAttrib, GraphicalEventsAttrib, PaintAttrib, FontAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib): """ Class representing the tref element of an svg doc. """ def __init__(self, **kwargs): BaseElement.__init__(self, 'tref') self.setKWARGS(**kwargs) def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust') class Tspan(BaseElement, CoreAttrib, ConditionalAttrib, ExternalAttrib, StyleAttrib, PointAttrib, DeltaPointAttrib, RotateAttrib, GraphicalEventsAttrib, PaintAttrib, FontAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib): """ Class representing the tspan element of an svg doc. """ def __init__(self, x=None, y=None, dx=None, dy=None, rotate=None, textLength=None, lengthAdjust=None, **kwargs): BaseElement.__init__(self, 'tspan') self.set_x(x) self.set_y(y) self.set_dx(dx) self.set_dy(dy) self.set_rotate(rotate) self.set_textLength(textLength) self.set_lengthAdjust(lengthAdjust) self.setKWARGS(**kwargs) def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust') class Text(BaseElement, CoreAttrib, ConditionalAttrib, ExternalAttrib, StyleAttrib, PointAttrib, DeltaPointAttrib, RotateAttrib, GraphicalEventsAttrib, PaintAttrib, FontAttrib, OpacityAttrib, GraphicsAttrib, CursorAttrib, FilterAttrib, MaskAttrib, ClipAttrib, TextContentAttrib, TextAttrib): """ Class representing the text element of an svg doc. """ def __init__(self, content=None, x=None, y=None, dx=None, dy=None, rotate=None, textLength=None, lengthAdjust=None, **kwargs): BaseElement.__init__(self, 'text') if content <> None: self.appendTextContent(content) self.set_x(x) self.set_y(y) self.set_dx(dx) self.set_dy(dy) self.set_rotate(rotate) self.set_textLength(textLength) self.set_lengthAdjust(lengthAdjust) self.setKWARGS(**kwargs) def set_transform(self, transform): self._attributes['transform'] = transform def get_transform(self): return self._attributes.get('transform') def set_textLength(self, textLength): self._attributes['textLength'] = textLength def get_textLength(self): return self._attributes.get('textLength') def set_lengthAdjust(self, lengthAdjust): self._attributes['lengthAdjust'] = lengthAdjust def get_lengthAdjust(self): return self._attributes.get('lengthAdjust')

false

true

f7fc3dd2f497fb7e39a8518ed59d98a5d8e5dcf0

1,748

py

Python

tests/cli/command/test_search_command.py

noraj/rawsec_cli

e671ad0d86d8627a0eff1ff13abf1227b6d26114

[ "MIT" ]

null

tests/cli/command/test_search_command.py

noraj/rawsec_cli

e671ad0d86d8627a0eff1ff13abf1227b6d26114

[ "MIT" ]

null

tests/cli/command/test_search_command.py

noraj/rawsec_cli

e671ad0d86d8627a0eff1ff13abf1227b6d26114

[ "MIT" ]

null

"""Test file for searchCommand File""" from click.testing import CliRunner from rawsec_cli.cli.cli import cli rawsec_json = { "tools": { "binary_exploitation": { "tools": [{"name": "tools", "website": "test"}], }, }, "resources": { "binary_exploitation": {"resources": [{"name": "resources"}]}, }, "operating_systems": { "binary_exploitation": { "operating_systems": [{"os": "operating_systems"}], }, }, "ctf_platforms": { "binary_exploitation": { "ctf_platforms": [{"name": "ctf_platforms"}], }, }, } def test_search(mocker): """ test search function""" mocker.patch( "rawsec_cli.search.search_project", return_value=[{"name": "tools", "website": "test"}], ) result = CliRunner().invoke( cli, ["search", "tools"], catch_exceptions=False, ) assert result.exit_code == 0 assert "tools" in result.output def test_search_only_1_result(): """ test search only 1 result function""" result = CliRunner().invoke( cli, ["search", "myjwt"], catch_exceptions=False, ) assert result.exit_code == 0 assert "myjwt" in result.output result = CliRunner().invoke( cli, ["search", "wfuzz"], catch_exceptions=False, ) assert result.exit_code == 0 assert "wfuzz" in result.output def test_search_not_found(): """ test search incorrect project function""" result = CliRunner().invoke( cli, ["search", "zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz"], catch_exceptions=False, ) assert result.exit_code == 0 assert "Project not found!" in result.output

24.619718

70

0.576659

from click.testing import CliRunner from rawsec_cli.cli.cli import cli rawsec_json = { "tools": { "binary_exploitation": { "tools": [{"name": "tools", "website": "test"}], }, }, "resources": { "binary_exploitation": {"resources": [{"name": "resources"}]}, }, "operating_systems": { "binary_exploitation": { "operating_systems": [{"os": "operating_systems"}], }, }, "ctf_platforms": { "binary_exploitation": { "ctf_platforms": [{"name": "ctf_platforms"}], }, }, } def test_search(mocker): mocker.patch( "rawsec_cli.search.search_project", return_value=[{"name": "tools", "website": "test"}], ) result = CliRunner().invoke( cli, ["search", "tools"], catch_exceptions=False, ) assert result.exit_code == 0 assert "tools" in result.output def test_search_only_1_result(): result = CliRunner().invoke( cli, ["search", "myjwt"], catch_exceptions=False, ) assert result.exit_code == 0 assert "myjwt" in result.output result = CliRunner().invoke( cli, ["search", "wfuzz"], catch_exceptions=False, ) assert result.exit_code == 0 assert "wfuzz" in result.output def test_search_not_found(): result = CliRunner().invoke( cli, ["search", "zzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz"], catch_exceptions=False, ) assert result.exit_code == 0 assert "Project not found!" in result.output

true

f7fc3e21c3d69a2cd9b0fcfe2efc2df8bbbd6534

9,369

py

Python

comcenter/comcenter/model/project.py

tongpa/bantak_program

66edfe225e8018f65c9c5a6cd7745c17ba557bd5

[ "Apache-2.0" ]

null

comcenter/comcenter/model/project.py

tongpa/bantak_program

66edfe225e8018f65c9c5a6cd7745c17ba557bd5

[ "Apache-2.0" ]

null

comcenter/comcenter/model/project.py

tongpa/bantak_program

66edfe225e8018f65c9c5a6cd7745c17ba557bd5

[ "Apache-2.0" ]

null

import os from datetime import datetime import sys try: from hashlib import sha1 except ImportError: sys.exit('ImportError: No module named hashlib\n' 'If you are on python2.4 this library is not part of python. ' 'Please install it. Example: easy_install hashlib') from sqlalchemy import Table, ForeignKey, Column from sqlalchemy.types import Unicode, Integer, DateTime, String, Text from sqlalchemy.orm import relation, synonym from sqlalchemy import *; from comcenter.model import DeclarativeBase,DeclarativeBase2, metadata, DBSession, DBSession2 #from sqlalchemy.sql.expression import *; import logging; import sys; log = logging.getLogger(__name__); __all__ = ['ProjectStatus', 'ProjectType', 'Project','Plantype'] class Plantype(DeclarativeBase): __tablename__ = 'plantype'; plantype_id = Column(Integer, autoincrement=True, primary_key=True); plantype_name = Column(String(255), unique=True, nullable=False); def __init__(self): self.plantype_id = None; self.plantype_name = None; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; class ProjectStatus(DeclarativeBase): __tablename__ = 'project_status' project_status_id = Column(Integer, autoincrement=True, primary_key=True); project_status_name = Column(String(255), unique=True, nullable=False); def __init__(self): self.project_status_id = None; self.project_status_name = None; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; @classmethod def getById(cls,id): return DBSession.query(cls) .get(id); @classmethod def listAll(cls): return DBSession.query(cls).order_by(cls.project_status_id).all(); class ProjectType(DeclarativeBase): __tablename__ = 'project_type' project_type_id = Column(Integer, autoincrement=True, primary_key=True); project_type_name = Column(String(255), unique=True, nullable=False); def __init__(self): self.project_type_id = None; self.project_type_name = None; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; @classmethod def getById(cls,id): return DBSession.query(cls) .get(id); @classmethod def listAll(cls): return DBSession.query(cls).all(); class Project(DeclarativeBase): __tablename__ = 'project' project_id = Column(Integer, autoincrement=True, primary_key=True); project_name = Column(String(255), index=True, nullable=False); detail = Column( Text, nullable=False); budget = Column( Integer , nullable=True, default= 0) ; maintenance_funds_budget = Column( Integer , nullable=True, default= 0) ; budget_other = Column( Integer , nullable=True, default= 0) ; budget_other_from = Column( Text , nullable=True ) ; start_date = Column(DateTime, nullable=False, default=datetime.now); stop_date = Column(DateTime, nullable=True); actual_start_date = Column(DateTime, nullable=True); actual_stop_date = Column(DateTime, nullable=True); fiscal_year = Column(String(4), index=True, nullable=False); owner = Column(String(255), nullable=False); create_date = Column(DateTime, nullable=False, default=datetime.now); project_status_id = Column( Integer,ForeignKey('project_status.project_status_id'), nullable=False, index=True) ; project_status = relation('ProjectStatus', backref='project'); project_type_id = Column( Integer,ForeignKey('project_type.project_type_id'), nullable=False, index=True) ; project_type = relation('ProjectType', backref='project'); division_id = Column( Integer,ForeignKey('division.division_id'), nullable=False, index=True) ; division = relation('Division', backref='project'); department_id = Column( Integer,ForeignKey('department.department_id'), nullable=False, index=True) ; department = relation('Department', backref='project'); section_id = Column( Integer,ForeignKey('section.section_id'), nullable=False, index=True) ; section = relation('Section', backref='project'); plantype_id = Column( Integer,ForeignKey('plantype.plantype_id'), nullable=False, index=True) ; plantype = relation('Plantype', backref='project'); def __init__(self): self.project_id = None; self.project_name = None; self.detail = None; self.budget = 0; self.budget_other = 0; self.maintenance_funds_budget =0; self.budget_other_from = None; self.start_date = datetime.now(); self.stop_date = None; self.actual_start_date = None; self.actual_stop_date =None; self.owner = None; self.create_date = datetime.now(); self.project_status_id = 0; self.project_type_id = 0; self.division_id = 0; self.department_id = 0; self.section_id =0; self.plantype_id =0; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; @classmethod def getById(cls,id): return DBSession.query(cls) .get(id); @classmethod def search(cls,fiscalyear=None,division=None,section=None,status=None,projectType=None,start=0,limit=25): sql = "1=1 "; if (fiscalyear): sql = sql + " and fiscal_year = " + fiscalyear; if(projectType): sql = sql + " and project_type_id = " + projectType; if(division): sql = sql + " and division_id = " + division; if(section): sql = sql + " and section_id = " + section; if(status): sql = sql + " and project_status_id = " + status ; log.info(sql); return DBSession.query(cls).filter(sql).all(); @classmethod def listAll(cls): return DBSession.query(cls).all(); @classmethod def querySummary(cls,fiscalyear=None,division=None,section=None,status=None,projectType=None,start=0,limit=25): sql = "where 1=1 "; if (fiscalyear): sql = sql + " and project.fiscal_year = " + fiscalyear; if(projectType): sql = sql + " and project_type_id = " + projectType; if(division): sql = sql + " and project.division_id = " + division; if(section): sql = sql + " and project.section_id = " + section; if(status): sql = sql + " and project.project_status_id = " + status ; sql = text("""select d.description as division , sum( d.allbudget) as allbudget, sum( d.budget) as budget, sum( d.maintenance_funds_budget) as maintenance_funds_budget, sum( d.budget_other_from) as budget_other_from FROM ( select division.description, IFNULL(project.budget, 0) + IFNULL(project.maintenance_funds_budget,0) +IFNULL(project.budget_other_from ,0) as allbudget, IFNULL(project.budget, 0) as budget, IFNULL(project.maintenance_funds_budget,0) as maintenance_funds_budget, IFNULL(project.budget_other_from ,0) as budget_other_from from division left join project on division.division_id = project.division_id """ + sql + """ ) d group by d.description """); result = DBSession.execute(sql); list = []; for row in result: list.append({ 'division':row['division'], 'allBudget' :row['allbudget'] , 'budget' :row['budget'] , 'maintenance_funds_budget' :row['maintenance_funds_budget'] , 'budget_other_from' :row['budget_other_from'], u'งบประมาณ' :row['budget'] , u'งบประมาณอื่น' :row['budget_other_from'] , u'เงินบำรุง' :row['maintenance_funds_budget'] }); return list;

39.200837

156

0.574981

import os from datetime import datetime import sys try: from hashlib import sha1 except ImportError: sys.exit('ImportError: No module named hashlib\n' 'If you are on python2.4 this library is not part of python. ' 'Please install it. Example: easy_install hashlib') from sqlalchemy import Table, ForeignKey, Column from sqlalchemy.types import Unicode, Integer, DateTime, String, Text from sqlalchemy.orm import relation, synonym from sqlalchemy import *; from comcenter.model import DeclarativeBase,DeclarativeBase2, metadata, DBSession, DBSession2 import logging; import sys; log = logging.getLogger(__name__); __all__ = ['ProjectStatus', 'ProjectType', 'Project','Plantype'] class Plantype(DeclarativeBase): __tablename__ = 'plantype'; plantype_id = Column(Integer, autoincrement=True, primary_key=True); plantype_name = Column(String(255), unique=True, nullable=False); def __init__(self): self.plantype_id = None; self.plantype_name = None; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; class ProjectStatus(DeclarativeBase): __tablename__ = 'project_status' project_status_id = Column(Integer, autoincrement=True, primary_key=True); project_status_name = Column(String(255), unique=True, nullable=False); def __init__(self): self.project_status_id = None; self.project_status_name = None; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; @classmethod def getById(cls,id): return DBSession.query(cls) .get(id); @classmethod def listAll(cls): return DBSession.query(cls).order_by(cls.project_status_id).all(); class ProjectType(DeclarativeBase): __tablename__ = 'project_type' project_type_id = Column(Integer, autoincrement=True, primary_key=True); project_type_name = Column(String(255), unique=True, nullable=False); def __init__(self): self.project_type_id = None; self.project_type_name = None; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; @classmethod def getById(cls,id): return DBSession.query(cls) .get(id); @classmethod def listAll(cls): return DBSession.query(cls).all(); class Project(DeclarativeBase): __tablename__ = 'project' project_id = Column(Integer, autoincrement=True, primary_key=True); project_name = Column(String(255), index=True, nullable=False); detail = Column( Text, nullable=False); budget = Column( Integer , nullable=True, default= 0) ; maintenance_funds_budget = Column( Integer , nullable=True, default= 0) ; budget_other = Column( Integer , nullable=True, default= 0) ; budget_other_from = Column( Text , nullable=True ) ; start_date = Column(DateTime, nullable=False, default=datetime.now); stop_date = Column(DateTime, nullable=True); actual_start_date = Column(DateTime, nullable=True); actual_stop_date = Column(DateTime, nullable=True); fiscal_year = Column(String(4), index=True, nullable=False); owner = Column(String(255), nullable=False); create_date = Column(DateTime, nullable=False, default=datetime.now); project_status_id = Column( Integer,ForeignKey('project_status.project_status_id'), nullable=False, index=True) ; project_status = relation('ProjectStatus', backref='project'); project_type_id = Column( Integer,ForeignKey('project_type.project_type_id'), nullable=False, index=True) ; project_type = relation('ProjectType', backref='project'); division_id = Column( Integer,ForeignKey('division.division_id'), nullable=False, index=True) ; division = relation('Division', backref='project'); department_id = Column( Integer,ForeignKey('department.department_id'), nullable=False, index=True) ; department = relation('Department', backref='project'); section_id = Column( Integer,ForeignKey('section.section_id'), nullable=False, index=True) ; section = relation('Section', backref='project'); plantype_id = Column( Integer,ForeignKey('plantype.plantype_id'), nullable=False, index=True) ; plantype = relation('Plantype', backref='project'); def __init__(self): self.project_id = None; self.project_name = None; self.detail = None; self.budget = 0; self.budget_other = 0; self.maintenance_funds_budget =0; self.budget_other_from = None; self.start_date = datetime.now(); self.stop_date = None; self.actual_start_date = None; self.actual_stop_date =None; self.owner = None; self.create_date = datetime.now(); self.project_status_id = 0; self.project_type_id = 0; self.division_id = 0; self.department_id = 0; self.section_id =0; self.plantype_id =0; def save(self): DBSession.add(self); DBSession.flush() ; def update(self): DBSession.update(self); def remove(self): DBSession.delete(self); DBSession.flush() ; @classmethod def getById(cls,id): return DBSession.query(cls) .get(id); @classmethod def search(cls,fiscalyear=None,division=None,section=None,status=None,projectType=None,start=0,limit=25): sql = "1=1 "; if (fiscalyear): sql = sql + " and fiscal_year = " + fiscalyear; if(projectType): sql = sql + " and project_type_id = " + projectType; if(division): sql = sql + " and division_id = " + division; if(section): sql = sql + " and section_id = " + section; if(status): sql = sql + " and project_status_id = " + status ; log.info(sql); return DBSession.query(cls).filter(sql).all(); @classmethod def listAll(cls): return DBSession.query(cls).all(); @classmethod def querySummary(cls,fiscalyear=None,division=None,section=None,status=None,projectType=None,start=0,limit=25): sql = "where 1=1 "; if (fiscalyear): sql = sql + " and project.fiscal_year = " + fiscalyear; if(projectType): sql = sql + " and project_type_id = " + projectType; if(division): sql = sql + " and project.division_id = " + division; if(section): sql = sql + " and project.section_id = " + section; if(status): sql = sql + " and project.project_status_id = " + status ; sql = text("""select d.description as division , sum( d.allbudget) as allbudget, sum( d.budget) as budget, sum( d.maintenance_funds_budget) as maintenance_funds_budget, sum( d.budget_other_from) as budget_other_from FROM ( select division.description, IFNULL(project.budget, 0) + IFNULL(project.maintenance_funds_budget,0) +IFNULL(project.budget_other_from ,0) as allbudget, IFNULL(project.budget, 0) as budget, IFNULL(project.maintenance_funds_budget,0) as maintenance_funds_budget, IFNULL(project.budget_other_from ,0) as budget_other_from from division left join project on division.division_id = project.division_id """ + sql + """ ) d group by d.description """); result = DBSession.execute(sql); list = []; for row in result: list.append({ 'division':row['division'], 'allBudget' :row['allbudget'] , 'budget' :row['budget'] , 'maintenance_funds_budget' :row['maintenance_funds_budget'] , 'budget_other_from' :row['budget_other_from'], u'งบประมาณ' :row['budget'] , u'งบประมาณอื่น' :row['budget_other_from'] , u'เงินบำรุง' :row['maintenance_funds_budget'] }); return list;

false

true

f7fc3ee492711427b04d99be6a06b69996c1b269

1,801

py

Python

examples/fofin/fofin-dr.py

robin-gdwl/examples_topop-desc

3a10dfc891c3e6998029c7baf8a5a7a501870fe2

[ "MIT" ]

null

examples/fofin/fofin-dr.py

robin-gdwl/examples_topop-desc

3a10dfc891c3e6998029c7baf8a5a7a501870fe2

[ "MIT" ]

null

examples/fofin/fofin-dr.py

robin-gdwl/examples_topop-desc

3a10dfc891c3e6998029c7baf8a5a7a501870fe2

[ "MIT" ]

null

import compas from compas.datastructures import Mesh from compas.numerical import dr_numpy from compas_plotters import MeshPlotter def plot(k, xyz, crits, args): for key in mesh.vertices(): mesh.vertex_attributes(key, 'xyz', xyz[key]) plotter.update_vertices() plotter.update_edges() plotter.update(pause=0.001) mesh = Mesh.from_obj(compas.get('faces.obj')) mesh.update_default_vertex_attributes(is_anchor=False, px=0.0, py=0.0, pz=0.0, rx=0.0, ry=0.0, rz=0.0) mesh.update_default_edge_attributes(q=0.0, f=0.0, l=0.0, qpre=1.0, fpre=0.0, lpre=0.0, l0=0.0, E=0.0, radius=0.0) corners = list(mesh.vertices_where({'vertex_degree': 2})) mesh.vertices_attribute('is_anchor', True, keys=corners) key_index = mesh.key_index() xyz = mesh.vertices_attributes('xyz') loads = mesh.vertices_attributes(('px', 'py', 'pz')) fixed = [key_index[key] for key in mesh.vertices_where({'is_anchor': True})] edges = [(key_index[u], key_index[v]) for u, v in mesh.edges()] qpre = mesh.edges_attribute('qpre') fpre = mesh.edges_attribute('fpre') lpre = mesh.edges_attribute('lpre') linit = mesh.edges_attribute('l0') E = mesh.edges_attribute('E') radius = mesh.edges_attribute('radius') plotter = MeshPlotter(mesh, figsize=(8, 5)) plotter.draw_vertices() plotter.draw_edges() plotter.update(pause=1.000) xyz, q, f, l, r = dr_numpy(xyz, edges, fixed, loads, qpre, fpre, lpre, linit, E, radius, callback=plot) for key, attr in mesh.vertices(True): index = key_index[key] mesh.vertex_attributes(key, 'xyz', xyz[index]) mesh.vertex_attributes(key, ['rx', 'ry', 'rz'], r[index]) for index, (key, attr) in enumerate(mesh.edges(True)): attr['q'] = q[index, 0] attr['f'] = f[index, 0] attr['l'] = l[index, 0] plotter.draw_vertices() plotter.draw_edges() plotter.show()

31.051724

113

0.700722

import compas from compas.datastructures import Mesh from compas.numerical import dr_numpy from compas_plotters import MeshPlotter def plot(k, xyz, crits, args): for key in mesh.vertices(): mesh.vertex_attributes(key, 'xyz', xyz[key]) plotter.update_vertices() plotter.update_edges() plotter.update(pause=0.001) mesh = Mesh.from_obj(compas.get('faces.obj')) mesh.update_default_vertex_attributes(is_anchor=False, px=0.0, py=0.0, pz=0.0, rx=0.0, ry=0.0, rz=0.0) mesh.update_default_edge_attributes(q=0.0, f=0.0, l=0.0, qpre=1.0, fpre=0.0, lpre=0.0, l0=0.0, E=0.0, radius=0.0) corners = list(mesh.vertices_where({'vertex_degree': 2})) mesh.vertices_attribute('is_anchor', True, keys=corners) key_index = mesh.key_index() xyz = mesh.vertices_attributes('xyz') loads = mesh.vertices_attributes(('px', 'py', 'pz')) fixed = [key_index[key] for key in mesh.vertices_where({'is_anchor': True})] edges = [(key_index[u], key_index[v]) for u, v in mesh.edges()] qpre = mesh.edges_attribute('qpre') fpre = mesh.edges_attribute('fpre') lpre = mesh.edges_attribute('lpre') linit = mesh.edges_attribute('l0') E = mesh.edges_attribute('E') radius = mesh.edges_attribute('radius') plotter = MeshPlotter(mesh, figsize=(8, 5)) plotter.draw_vertices() plotter.draw_edges() plotter.update(pause=1.000) xyz, q, f, l, r = dr_numpy(xyz, edges, fixed, loads, qpre, fpre, lpre, linit, E, radius, callback=plot) for key, attr in mesh.vertices(True): index = key_index[key] mesh.vertex_attributes(key, 'xyz', xyz[index]) mesh.vertex_attributes(key, ['rx', 'ry', 'rz'], r[index]) for index, (key, attr) in enumerate(mesh.edges(True)): attr['q'] = q[index, 0] attr['f'] = f[index, 0] attr['l'] = l[index, 0] plotter.draw_vertices() plotter.draw_edges() plotter.show()

true

f7fc3f1d9b4ec59ff21bc780fe8547bd3ef911ae

1,079

py

Python

Video_rental_LLC/movies/migrations/0001_initial.py

dlouima/python_project

2f84c5131efccfa04a633a608605b957b20b5f7e

[ "Apache-2.0" ]

null

Video_rental_LLC/movies/migrations/0001_initial.py

dlouima/python_project

2f84c5131efccfa04a633a608605b957b20b5f7e

[ "Apache-2.0" ]

null

Video_rental_LLC/movies/migrations/0001_initial.py

dlouima/python_project

2f84c5131efccfa04a633a608605b957b20b5f7e

[ "Apache-2.0" ]

null

# Generated by Django 2.1 on 2022-04-10 19:36 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Genre', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ], ), 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)), ('release_year', models.IntegerField()), ('number_in_stock', models.IntegerField()), ('daily_rate', models.IntegerField()), ('genre', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='movies.Genre')), ], ), ]

31.735294

114

0.568119

from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Genre', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ], ), 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)), ('release_year', models.IntegerField()), ('number_in_stock', models.IntegerField()), ('daily_rate', models.IntegerField()), ('genre', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='movies.Genre')), ], ), ]

true

f7fc3f7d05339d1daea5def8f575e434a63fcb5c

1,456

py

Python

nonRLplayers/frugal_player.py

xinhezhou/ticket2ride

d0edb2fdbe309e06bd2a2606c1fed35aa37c4d5f

[ "MIT" ]

null

nonRLplayers/frugal_player.py

xinhezhou/ticket2ride

d0edb2fdbe309e06bd2a2606c1fed35aa37c4d5f

[ "MIT" ]

1

2022-01-31T20:24:30.000Z

nonRLplayers/frugal_player.py

xinhezhou/ticket2ride

d0edb2fdbe309e06bd2a2606c1fed35aa37c4d5f

[ "MIT" ]

null

import numpy as np import random from utils.game_utils import check_path, compute_availability_matrix, get_available_routes, compute_progress class FrugalPlayer: def __init__(self, num_colors, destination_cards, trains, id): self.cards = num_colors * [0] self.routes = {} self.destination_cards = destination_cards self.trains = trains self.id = id def choose_route(self, game, players): """ Find all possible routes and chooses a route that makes the most progress """ graph = game.graph status = game.status availability = compute_availability_matrix(graph, status, self) available_routes = get_available_routes(availability) route_progress = [] for route in available_routes: route_progress.append(compute_progress(graph, status, route, self.destination_cards, self.id)) # print(route_progress) return available_routes[np.argmax(route_progress)] def draw_or_claim(self, game, players): """ If there is at least one path that can be completed, claim a route (1). Otherwise, draw 2 cards (0) """ graph = game.graph status = game.status availability = compute_availability_matrix(graph, status, self) for a, b in self.destination_cards: if check_path(availability, a, b): return 1 return 0

34.666667

108

0.649038

import numpy as np import random from utils.game_utils import check_path, compute_availability_matrix, get_available_routes, compute_progress class FrugalPlayer: def __init__(self, num_colors, destination_cards, trains, id): self.cards = num_colors * [0] self.routes = {} self.destination_cards = destination_cards self.trains = trains self.id = id def choose_route(self, game, players): graph = game.graph status = game.status availability = compute_availability_matrix(graph, status, self) available_routes = get_available_routes(availability) route_progress = [] for route in available_routes: route_progress.append(compute_progress(graph, status, route, self.destination_cards, self.id)) return available_routes[np.argmax(route_progress)] def draw_or_claim(self, game, players): graph = game.graph status = game.status availability = compute_availability_matrix(graph, status, self) for a, b in self.destination_cards: if check_path(availability, a, b): return 1 return 0

true

f7fc3ff1cffcf04280dd758edaf85adb896b6c10

4,860

py

Python

sonarqube/enterprise/applications.py

ckho-wkcda/python-sonarqube-api

9414a1763e0f3e2bab4d9afe6b5df71c785a86e7

[ "MIT" ]

113

2020-07-08T18:52:12.000Z

2022-03-29T09:32:22.000Z

sonarqube/enterprise/applications.py

ckho-wkcda/python-sonarqube-api

9414a1763e0f3e2bab4d9afe6b5df71c785a86e7

[ "MIT" ]

39

2020-08-26T11:47:19.000Z

2022-03-24T11:40:54.000Z

sonarqube/enterprise/applications.py

ckho-wkcda/python-sonarqube-api

9414a1763e0f3e2bab4d9afe6b5df71c785a86e7

[ "MIT" ]

39

2020-06-01T07:21:33.000Z

2022-02-24T02:51:20.000Z

#!/usr/bin/env python # -*- coding:utf-8 -*- # @Author: Jacek Hojczak from sonarqube.utils.rest_client import RestClient from sonarqube.utils.config import ( API_APPLICATIONS_CREATE_ENDPOINT, API_APPLICATIONS_DELETE_ENDPOINT, API_APPLICATIONS_SHOW_ENDPOINT, API_APPLICATIONS_UPDATE_ENDPOINT, API_APPLICATIONS_ADD_PROJECT_ENDPOINT, API_APPLICATIONS_REMOVE_PROJECT_ENDPOINT, API_APPLICATIONS_CREATE_BRANCH_ENDPOINT, API_APPLICATIONS_DELETE_BRANCH_ENDPOINT, API_APPLICATIONS_SET_TAGS_ENDPOINT, API_APPLICATIONS_UPDATE_BRANCH_ENDPOINT ) from sonarqube.utils.common import POST, GET class SonarQubeApplications(RestClient): """ SonarQube applications Operations """ def __init__(self, **kwargs): """ :param kwargs: """ super(SonarQubeApplications, self).__init__(**kwargs) @POST(API_APPLICATIONS_CREATE_ENDPOINT) def create_application(self, name, key=None, visibility=None, description=None): """ SINCE 7.3 Create a new application. :param description: Application description :param key: Application key. A suitable key will be generated if not provided :param name: Name of the Application. :param visibility: Whether the created project should be visible to everyone, or only specific user/groups. If no visibility is specified, the default project visibility of the organization will be used. Possible values are for: * private * public :return: request response """ @POST(API_APPLICATIONS_DELETE_ENDPOINT) def delete_application(self, application): """ SINCE 7.3 Delete an application definition. :param application: Application key :return: """ @GET(API_APPLICATIONS_SHOW_ENDPOINT) def show_application(self, application, branch=None): """ SINCE 7.3 Returns an application and its associated projects. :param application: Application key :param branch: Branch name :return: """ @POST(API_APPLICATIONS_ADD_PROJECT_ENDPOINT) def add_project(self, application, project): """ SINCE 7.3 Add project to application. :param application: Application key :param project: Project key :return: """ @POST(API_APPLICATIONS_REMOVE_PROJECT_ENDPOINT) def remove_project(self, application, project): """ SINCE 7.3 Remove project to application. :param application: Application key :param project: Project key :return: """ @POST(API_APPLICATIONS_CREATE_BRANCH_ENDPOINT) def create_branch(self, application, branch, project, projectBranch): """ SINCE 7.3 Create a new branch on a given application. :param application: Application key :param branch: Branch name :param project: Project keys.To set several values, the parameter must be called once for each value. :param projectBranch: Project branches.To set main branch, provide an empty value. To set several values, the parameter must be called once for each value. :return: """ @POST(API_APPLICATIONS_DELETE_BRANCH_ENDPOINT) def delete_branch(self, application, branch): """ SINCE 7.3 Delete a branch on a given application. :param application: Application key :param branch: Branch name :return: """ @POST(API_APPLICATIONS_UPDATE_BRANCH_ENDPOINT) def update_branch(self, application, branch, name, project, projectBranch): """ SINCE 7.3 Update a branch on a given application. :param application: Application key :param branch: Branch name :param name: New branch name :param project: Project keys.To set several values, the parameter must be called once for each value. :param projectBranch: Project branches.To set main branch, provide an empty value. To set several values, the parameter must be called once for each value. :return: """ @POST(API_APPLICATIONS_UPDATE_ENDPOINT) def update_application(self, application, name, description=None): """ SINCE 7.3 Update an application. :param application: Application key :param name: New name for the application :param description: New description for the application :return: """ @POST(API_APPLICATIONS_SET_TAGS_ENDPOINT) def set_tags(self, application, tags): """ SINCE 8.3 Set tags on a application. :type application: Application key :param tags: Comma-separated list of tags :return: """

30.375

115

0.659465

from sonarqube.utils.rest_client import RestClient from sonarqube.utils.config import ( API_APPLICATIONS_CREATE_ENDPOINT, API_APPLICATIONS_DELETE_ENDPOINT, API_APPLICATIONS_SHOW_ENDPOINT, API_APPLICATIONS_UPDATE_ENDPOINT, API_APPLICATIONS_ADD_PROJECT_ENDPOINT, API_APPLICATIONS_REMOVE_PROJECT_ENDPOINT, API_APPLICATIONS_CREATE_BRANCH_ENDPOINT, API_APPLICATIONS_DELETE_BRANCH_ENDPOINT, API_APPLICATIONS_SET_TAGS_ENDPOINT, API_APPLICATIONS_UPDATE_BRANCH_ENDPOINT ) from sonarqube.utils.common import POST, GET class SonarQubeApplications(RestClient): def __init__(self, **kwargs): super(SonarQubeApplications, self).__init__(**kwargs) @POST(API_APPLICATIONS_CREATE_ENDPOINT) def create_application(self, name, key=None, visibility=None, description=None): @POST(API_APPLICATIONS_DELETE_ENDPOINT) def delete_application(self, application): @GET(API_APPLICATIONS_SHOW_ENDPOINT) def show_application(self, application, branch=None): @POST(API_APPLICATIONS_ADD_PROJECT_ENDPOINT) def add_project(self, application, project): @POST(API_APPLICATIONS_REMOVE_PROJECT_ENDPOINT) def remove_project(self, application, project): @POST(API_APPLICATIONS_CREATE_BRANCH_ENDPOINT) def create_branch(self, application, branch, project, projectBranch): @POST(API_APPLICATIONS_DELETE_BRANCH_ENDPOINT) def delete_branch(self, application, branch): @POST(API_APPLICATIONS_UPDATE_BRANCH_ENDPOINT) def update_branch(self, application, branch, name, project, projectBranch): @POST(API_APPLICATIONS_UPDATE_ENDPOINT) def update_application(self, application, name, description=None): @POST(API_APPLICATIONS_SET_TAGS_ENDPOINT) def set_tags(self, application, tags):

true

f7fc40b73c2866debd55449d80619882346fbea0

10,196

py

Python

holoviews/element/chart.py

marckassay/holoviews

a2b37dc70228e34ffb6fe329f0854b1ad6502636

[ "BSD-3-Clause" ]

null

holoviews/element/chart.py

marckassay/holoviews

a2b37dc70228e34ffb6fe329f0854b1ad6502636

[ "BSD-3-Clause" ]

null

holoviews/element/chart.py

marckassay/holoviews

a2b37dc70228e34ffb6fe329f0854b1ad6502636

[ "BSD-3-Clause" ]

null

import numpy as np import param from ..core import util from ..core import Dimension, Dataset, Element2D from ..core.data import GridInterface from .geom import Rectangles, Points, VectorField # noqa: backward compatible import from .selection import Selection1DExpr, Selection2DExpr class Chart(Dataset, Element2D): """ A Chart is an abstract baseclass for elements representing one or more independent and dependent variables defining a 1D coordinate system with associated values. The independent variables or key dimensions map onto the x-axis while the dependent variables are usually mapped to the location, height or spread along the y-axis. Any number of additional value dimensions may be associated with a Chart. If a chart's independent variable (or key dimension) is numeric the chart will represent a discretely sampled version of the underlying continuously sampled 1D space. Therefore indexing along this variable will automatically snap to the closest coordinate. Since a Chart is a subclass of a Dataset it supports the full set of data interfaces but usually each dimension of a chart represents a column stored in a dictionary, array or DataFrame. """ kdims = param.List(default=[Dimension('x')], bounds=(1,2), doc=""" The key dimension(s) of a Chart represent the independent variable(s).""") group = param.String(default='Chart', constant=True) vdims = param.List(default=[Dimension('y')], bounds=(1, None), doc=""" The value dimensions of the Chart, usually corresponding to a number of dependent variables.""") # Enables adding index if 1D array like data is supplied _auto_indexable_1d = True __abstract = True def __getitem__(self, index): return super(Chart, self).__getitem__(index) class Scatter(Selection2DExpr, Chart): """ Scatter is a Chart element representing a set of points in a 1D coordinate system where the key dimension maps to the points location along the x-axis while the first value dimension represents the location of the point along the y-axis. """ group = param.String(default='Scatter', constant=True) class Curve(Selection1DExpr, Chart): """ Curve is a Chart element representing a line in a 1D coordinate system where the key dimension maps on the line x-coordinate and the first value dimension represents the height of the line along the y-axis. """ group = param.String(default='Curve', constant=True) class ErrorBars(Selection1DExpr, Chart): """ ErrorBars is a Chart element representing error bars in a 1D coordinate system where the key dimension corresponds to the location along the x-axis and the first value dimension corresponds to the location along the y-axis and one or two extra value dimensions corresponding to the symmetric or asymetric errors either along x-axis or y-axis. If two value dimensions are given, then the last value dimension will be taken as symmetric errors. If three value dimensions are given then the last two value dimensions will be taken as negative and positive errors. By default the errors are defined along y-axis. A parameter `horizontal`, when set `True`, will define the errors along the x-axis. """ group = param.String(default='ErrorBars', constant=True, doc=""" A string describing the quantity measured by the ErrorBars object.""") vdims = param.List(default=[Dimension('y'), Dimension('yerror')], bounds=(1, None), constant=True) horizontal = param.Boolean(default=False, doc=""" Whether the errors are along y-axis (vertical) or x-axis.""") def range(self, dim, data_range=True, dimension_range=True): """Return the lower and upper bounds of values along dimension. Range of the y-dimension includes the symmetric or assymetric error. Args: dimension: The dimension to compute the range on. data_range (bool): Compute range from data values dimension_range (bool): Include Dimension ranges Whether to include Dimension range and soft_range in range calculation Returns: Tuple containing the lower and upper bound """ dim_with_err = 0 if self.horizontal else 1 didx = self.get_dimension_index(dim) dim = self.get_dimension(dim) if didx == dim_with_err and data_range and len(self): mean = self.dimension_values(didx) neg_error = self.dimension_values(2) if len(self.dimensions()) > 3: pos_error = self.dimension_values(3) else: pos_error = neg_error lower = np.nanmin(mean-neg_error) upper = np.nanmax(mean+pos_error) if not dimension_range: return (lower, upper) return util.dimension_range(lower, upper, dim.range, dim.soft_range) return super(ErrorBars, self).range(dim, data_range) class Spread(ErrorBars): """ Spread is a Chart element representing a spread of values or confidence band in a 1D coordinate system. The key dimension(s) corresponds to the location along the x-axis and the value dimensions define the location along the y-axis as well as the symmetric or assymetric spread. """ group = param.String(default='Spread', constant=True) class Bars(Selection1DExpr, Chart): """ Bars is a Chart element representing categorical observations using the height of rectangular bars. The key dimensions represent the categorical groupings of the data, but may also be used to stack the bars, while the first value dimension represents the height of each bar. """ group = param.String(default='Bars', constant=True) kdims = param.List(default=[Dimension('x')], bounds=(1,3)) class Histogram(Selection1DExpr, Chart): """ Histogram is a Chart element representing a number of bins in a 1D coordinate system. The key dimension represents the binned values, which may be declared as bin edges or bin centers, while the value dimensions usually defines a count, frequency or density associated with each bin. """ datatype = param.List(default=['grid']) group = param.String(default='Histogram', constant=True) kdims = param.List(default=[Dimension('x')], bounds=(1,1), doc=""" Dimensions on Element2Ds determine the number of indexable dimensions.""") vdims = param.List(default=[Dimension('Frequency')], bounds=(1, None)) _binned = True def __init__(self, data, edges=None, **params): if data is None: data = [] if edges is not None: self.param.warning( "Histogram edges should be supplied as a tuple " "along with the values, passing the edges will " "be deprecated in holoviews 2.0.") data = (edges, data) elif isinstance(data, tuple) and len(data) == 2 and len(data[0])+1 == len(data[1]): data = data[::-1] super(Histogram, self).__init__(data, **params) def __setstate__(self, state): """ Ensures old-style Histogram types without an interface can be unpickled. Note: Deprecate as part of 2.0 """ if 'interface' not in state: self.interface = GridInterface x, y = state['_kdims_param_value'][0], state['_vdims_param_value'][0] state['data'] = {x.name: state['data'][1], y.name: state['data'][0]} super(Dataset, self).__setstate__(state) @property def values(self): "Property to access the Histogram values provided for backward compatibility" self.param.warning('Histogram.values is deprecated in favor of ' 'common dimension_values method.') return self.dimension_values(1) @property def edges(self): "Property to access the Histogram edges provided for backward compatibility" return self.interface.coords(self, self.kdims[0], edges=True) class Spikes(Selection1DExpr, Chart): """ Spikes is a Chart element which represents a number of discrete spikes, events or observations in a 1D coordinate system. The key dimension therefore represents the position of each spike along the x-axis while the first value dimension, if defined, controls the height along the y-axis. It may therefore be used to visualize the distribution of discrete events, representing a rug plot, or to draw the strength some signal. """ group = param.String(default='Spikes', constant=True) kdims = param.List(default=[Dimension('x')], bounds=(1, 1)) vdims = param.List(default=[]) _auto_indexable_1d = False class Area(Curve): """ Area is a Chart element representing the area under a curve or between two curves in a 1D coordinate system. The key dimension represents the location of each coordinate along the x-axis, while the value dimension(s) represent the height of the area or the lower and upper bounds of the area between curves. Multiple areas may be stacked by overlaying them an passing them to the stack method. """ group = param.String(default='Area', constant=True) @classmethod def stack(cls, areas): """ Stacks an (Nd)Overlay of Area or Curve Elements by offsetting their baselines. To stack a HoloMap or DynamicMap use the map method. """ if not len(areas): return areas baseline = np.zeros(len(areas.values()[0])) stacked = areas.clone(shared_data=False) vdims = [areas.values()[0].vdims[0], 'Baseline'] for k, area in areas.items(): x, y = (area.dimension_values(i) for i in range(2)) stacked[k] = area.clone((x, y+baseline, baseline), vdims=vdims, new_type=Area) baseline = baseline + y return stacked

37.076364

91

0.669772

import numpy as np import param from ..core import util from ..core import Dimension, Dataset, Element2D from ..core.data import GridInterface from .geom import Rectangles, Points, VectorField from .selection import Selection1DExpr, Selection2DExpr class Chart(Dataset, Element2D): kdims = param.List(default=[Dimension('x')], bounds=(1,2), doc=""" The key dimension(s) of a Chart represent the independent variable(s).""") group = param.String(default='Chart', constant=True) vdims = param.List(default=[Dimension('y')], bounds=(1, None), doc=""" The value dimensions of the Chart, usually corresponding to a number of dependent variables.""") _auto_indexable_1d = True __abstract = True def __getitem__(self, index): return super(Chart, self).__getitem__(index) class Scatter(Selection2DExpr, Chart): group = param.String(default='Scatter', constant=True) class Curve(Selection1DExpr, Chart): group = param.String(default='Curve', constant=True) class ErrorBars(Selection1DExpr, Chart): group = param.String(default='ErrorBars', constant=True, doc=""" A string describing the quantity measured by the ErrorBars object.""") vdims = param.List(default=[Dimension('y'), Dimension('yerror')], bounds=(1, None), constant=True) horizontal = param.Boolean(default=False, doc=""" Whether the errors are along y-axis (vertical) or x-axis.""") def range(self, dim, data_range=True, dimension_range=True): dim_with_err = 0 if self.horizontal else 1 didx = self.get_dimension_index(dim) dim = self.get_dimension(dim) if didx == dim_with_err and data_range and len(self): mean = self.dimension_values(didx) neg_error = self.dimension_values(2) if len(self.dimensions()) > 3: pos_error = self.dimension_values(3) else: pos_error = neg_error lower = np.nanmin(mean-neg_error) upper = np.nanmax(mean+pos_error) if not dimension_range: return (lower, upper) return util.dimension_range(lower, upper, dim.range, dim.soft_range) return super(ErrorBars, self).range(dim, data_range) class Spread(ErrorBars): group = param.String(default='Spread', constant=True) class Bars(Selection1DExpr, Chart): group = param.String(default='Bars', constant=True) kdims = param.List(default=[Dimension('x')], bounds=(1,3)) class Histogram(Selection1DExpr, Chart): datatype = param.List(default=['grid']) group = param.String(default='Histogram', constant=True) kdims = param.List(default=[Dimension('x')], bounds=(1,1), doc=""" Dimensions on Element2Ds determine the number of indexable dimensions.""") vdims = param.List(default=[Dimension('Frequency')], bounds=(1, None)) _binned = True def __init__(self, data, edges=None, **params): if data is None: data = [] if edges is not None: self.param.warning( "Histogram edges should be supplied as a tuple " "along with the values, passing the edges will " "be deprecated in holoviews 2.0.") data = (edges, data) elif isinstance(data, tuple) and len(data) == 2 and len(data[0])+1 == len(data[1]): data = data[::-1] super(Histogram, self).__init__(data, **params) def __setstate__(self, state): if 'interface' not in state: self.interface = GridInterface x, y = state['_kdims_param_value'][0], state['_vdims_param_value'][0] state['data'] = {x.name: state['data'][1], y.name: state['data'][0]} super(Dataset, self).__setstate__(state) @property def values(self): self.param.warning('Histogram.values is deprecated in favor of ' 'common dimension_values method.') return self.dimension_values(1) @property def edges(self): return self.interface.coords(self, self.kdims[0], edges=True) class Spikes(Selection1DExpr, Chart): group = param.String(default='Spikes', constant=True) kdims = param.List(default=[Dimension('x')], bounds=(1, 1)) vdims = param.List(default=[]) _auto_indexable_1d = False class Area(Curve): group = param.String(default='Area', constant=True) @classmethod def stack(cls, areas): if not len(areas): return areas baseline = np.zeros(len(areas.values()[0])) stacked = areas.clone(shared_data=False) vdims = [areas.values()[0].vdims[0], 'Baseline'] for k, area in areas.items(): x, y = (area.dimension_values(i) for i in range(2)) stacked[k] = area.clone((x, y+baseline, baseline), vdims=vdims, new_type=Area) baseline = baseline + y return stacked

true

f7fc40dce63a1a0c00c620ef154057231b3dd5bb

2,650

py

Python

tests/test_decays.py

maluethi/nuclides

26d84214c4412849794eec6caf0bdb9bd9707aab

[ "MIT" ]

null

tests/test_decays.py

maluethi/nuclides

26d84214c4412849794eec6caf0bdb9bd9707aab

[ "MIT" ]

null

tests/test_decays.py

maluethi/nuclides

26d84214c4412849794eec6caf0bdb9bd9707aab

[ "MIT" ]

null

#!/usr/bin/env python """Tests for `nuclides` package.""" import pytest from nuclides import nuclides @pytest.fixture def response(): """Sample pytest fixture. See more at: http://doc.pytest.org/en/latest/fixture.html """ # import requests # return requests.get('https://github.com/audreyr/cookiecutter-pypackage') def test_decay_range(response): from nuclides.decays import Alpha for br in [-1, 0., 2.]: with pytest.raises(ValueError, match=r'Branching*'): Alpha(half_life=1, branching_ratio=br) for hl in [-1000, 0]: with pytest.raises(ValueError, match=r'Half*'): Alpha(half_life=hl, branching_ratio=0.5) def test_decay_logic(response): from nuclides.decays import Alpha with pytest.raises(ValueError, match=r'Branching*'): Alpha(half_life=1) with pytest.raises(ValueError, match=r'Half*'): Alpha(branching_ratio=0.2) def test_alpha(response): from nuclides.decays import Alpha a = Alpha(half_life=2, branching_ratio=0.5) assert a.dN == -2 assert a.dZ == -2 def test_beta(response): from nuclides.decays import BetaMinus, BetaPlus bm = BetaMinus(half_life=2, branching_ratio=0.5) assert bm.dZ == 1 assert bm.dN == -1 bp = BetaPlus(half_life=2, branching_ratio=0.5) assert bp.dZ == -1 assert bp.dN == 1 def test_proton_neutron(response): from nuclides.decays import NNeutronDecay, NProtonDecay nd = NProtonDecay(half_life=1, branching_ratio=0.1, n_protons=1) assert nd.dZ == -1 assert nd.dN == 0 assert nd.name == 'p' nd = NProtonDecay(half_life=1, branching_ratio=0.1, n_protons=2) assert nd.dZ == -2 assert nd.dN == 0 assert nd.name == '2p' pd = NNeutronDecay(half_life=1, branching_ratio=0.1, n_neutrons=1) assert pd.dZ == 0 assert pd.dN == -1 assert pd.name == 'n' pd = NNeutronDecay(half_life=1, branching_ratio=0.1, n_neutrons=2) assert pd.dZ == 0 assert pd.dN == -2 assert pd.name == '2n' def test_Igamma(response): from nuclides.decays import Igamma meta = Igamma(half_life=2, branching_ratio=0.3) assert meta.dZ == 0 assert meta.dN == 0 def test_mode_parser(response): from nuclides.decays import _dec_parser cases_betap = [' b+', 'b+', 'b+p', 'b+2p', 'b+3p', 'b+4p', 'b+a', 'b+d', 'b+pa', 'b+sf', '2b+'] cases_betam = [' b-', 'b-', 'b-n', 'b-2n', 'b-3n', 'b-4n', 'b-a', 'b-d', 'b-pa', 'b-sf', '2b-', 'b-t'] cases_e_ec_ep = ['e+', 'ec', 'ec+b+', 'is', 'it'] cases_heavy = ['p', 'n', 'sf'] for el in cases_betam + cases_betap: _dec_parser(el)

24.766355

106

0.629811

import pytest from nuclides import nuclides @pytest.fixture def response(): def test_decay_range(response): from nuclides.decays import Alpha for br in [-1, 0., 2.]: with pytest.raises(ValueError, match=r'Branching*'): Alpha(half_life=1, branching_ratio=br) for hl in [-1000, 0]: with pytest.raises(ValueError, match=r'Half*'): Alpha(half_life=hl, branching_ratio=0.5) def test_decay_logic(response): from nuclides.decays import Alpha with pytest.raises(ValueError, match=r'Branching*'): Alpha(half_life=1) with pytest.raises(ValueError, match=r'Half*'): Alpha(branching_ratio=0.2) def test_alpha(response): from nuclides.decays import Alpha a = Alpha(half_life=2, branching_ratio=0.5) assert a.dN == -2 assert a.dZ == -2 def test_beta(response): from nuclides.decays import BetaMinus, BetaPlus bm = BetaMinus(half_life=2, branching_ratio=0.5) assert bm.dZ == 1 assert bm.dN == -1 bp = BetaPlus(half_life=2, branching_ratio=0.5) assert bp.dZ == -1 assert bp.dN == 1 def test_proton_neutron(response): from nuclides.decays import NNeutronDecay, NProtonDecay nd = NProtonDecay(half_life=1, branching_ratio=0.1, n_protons=1) assert nd.dZ == -1 assert nd.dN == 0 assert nd.name == 'p' nd = NProtonDecay(half_life=1, branching_ratio=0.1, n_protons=2) assert nd.dZ == -2 assert nd.dN == 0 assert nd.name == '2p' pd = NNeutronDecay(half_life=1, branching_ratio=0.1, n_neutrons=1) assert pd.dZ == 0 assert pd.dN == -1 assert pd.name == 'n' pd = NNeutronDecay(half_life=1, branching_ratio=0.1, n_neutrons=2) assert pd.dZ == 0 assert pd.dN == -2 assert pd.name == '2n' def test_Igamma(response): from nuclides.decays import Igamma meta = Igamma(half_life=2, branching_ratio=0.3) assert meta.dZ == 0 assert meta.dN == 0 def test_mode_parser(response): from nuclides.decays import _dec_parser cases_betap = [' b+', 'b+', 'b+p', 'b+2p', 'b+3p', 'b+4p', 'b+a', 'b+d', 'b+pa', 'b+sf', '2b+'] cases_betam = [' b-', 'b-', 'b-n', 'b-2n', 'b-3n', 'b-4n', 'b-a', 'b-d', 'b-pa', 'b-sf', '2b-', 'b-t'] cases_e_ec_ep = ['e+', 'ec', 'ec+b+', 'is', 'it'] cases_heavy = ['p', 'n', 'sf'] for el in cases_betam + cases_betap: _dec_parser(el)

true

f7fc414b35cef896045dc9ad2bc90016534d5466

6,626

py

Python

.bundle/ruby/2.5.0/gems/ffi-1.9.23/ext/ffi_c/libffi/generate-darwin-source-and-headers.py

ogontaro/homepage

6f15b1d30759b6f089cf96f98156291f4e97387d

[ "MIT" ]

651

2018-01-06T11:33:01.000Z

2022-03-27T07:00:40.000Z

.bundle/ruby/2.5.0/gems/ffi-1.9.23/ext/ffi_c/libffi/generate-darwin-source-and-headers.py

ogontaro/homepage

6f15b1d30759b6f089cf96f98156291f4e97387d

[ "MIT" ]

189

2018-01-13T19:03:55.000Z

2022-03-28T18:05:35.000Z

.bundle/ruby/2.5.0/gems/ffi-1.9.23/ext/ffi_c/libffi/generate-darwin-source-and-headers.py

ogontaro/homepage

6f15b1d30759b6f089cf96f98156291f4e97387d

[ "MIT" ]

104

2018-07-03T09:22:41.000Z

2022-03-31T20:24:48.000Z

#!/usr/bin/env python import subprocess import os import errno import collections import glob import argparse class Platform(object): pass class simulator_platform(Platform): directory = 'darwin_ios' sdk = 'iphonesimulator' arch = 'i386' triple = 'i386-apple-darwin11' version_min = '-miphoneos-version-min=7.0' prefix = "#ifdef __i386__\n\n" suffix = "\n\n#endif" src_dir = 'x86' src_files = ['sysv.S', 'ffi.c', 'internal.h'] class simulator64_platform(Platform): directory = 'darwin_ios' sdk = 'iphonesimulator' arch = 'x86_64' triple = 'x86_64-apple-darwin13' version_min = '-miphoneos-version-min=7.0' prefix = "#ifdef __x86_64__\n\n" suffix = "\n\n#endif" src_dir = 'x86' src_files = ['unix64.S', 'ffi64.c', 'ffiw64.c', 'win64.S', 'internal64.h', 'asmnames.h'] class device_platform(Platform): directory = 'darwin_ios' sdk = 'iphoneos' arch = 'armv7' triple = 'arm-apple-darwin11' version_min = '-miphoneos-version-min=7.0' prefix = "#ifdef __arm__\n\n" suffix = "\n\n#endif" src_dir = 'arm' src_files = ['sysv.S', 'ffi.c', 'internal.h'] class device64_platform(Platform): directory = 'darwin_ios' sdk = 'iphoneos' arch = 'arm64' triple = 'aarch64-apple-darwin13' version_min = '-miphoneos-version-min=7.0' prefix = "#ifdef __arm64__\n\n" suffix = "\n\n#endif" src_dir = 'aarch64' src_files = ['sysv.S', 'ffi.c', 'internal.h'] class desktop32_platform(Platform): directory = 'darwin_osx' sdk = 'macosx' arch = 'i386' triple = 'i386-apple-darwin10' version_min = '-mmacosx-version-min=10.6' src_dir = 'x86' src_files = ['sysv.S', 'ffi.c', 'internal.h'] prefix = "#ifdef __i386__\n\n" suffix = "\n\n#endif" class desktop64_platform(Platform): directory = 'darwin_osx' sdk = 'macosx' arch = 'x86_64' triple = 'x86_64-apple-darwin10' version_min = '-mmacosx-version-min=10.6' prefix = "#ifdef __x86_64__\n\n" suffix = "\n\n#endif" src_dir = 'x86' src_files = ['unix64.S', 'ffi64.c', 'ffiw64.c', 'win64.S', 'internal64.h', 'asmnames.h'] def mkdir_p(path): try: os.makedirs(path) except OSError as exc: # Python >2.5 if exc.errno != errno.EEXIST: raise def move_file(src_dir, dst_dir, filename, file_suffix=None, prefix='', suffix=''): mkdir_p(dst_dir) out_filename = filename if file_suffix: if filename in ['internal64.h', 'asmnames.h', 'internal.h']: out_filename = filename else: split_name = os.path.splitext(filename) out_filename = "%s_%s%s" % (split_name[0], file_suffix, split_name[1]) with open(os.path.join(src_dir, filename)) as in_file: with open(os.path.join(dst_dir, out_filename), 'w') as out_file: if prefix: out_file.write(prefix) out_file.write(in_file.read()) if suffix: out_file.write(suffix) def list_files(src_dir, pattern=None, filelist=None): if pattern: filelist = glob.iglob(os.path.join(src_dir, pattern)) for file in filelist: yield os.path.basename(file) def copy_files(src_dir, dst_dir, pattern=None, filelist=None, file_suffix=None, prefix=None, suffix=None): for filename in list_files(src_dir, pattern=pattern, filelist=filelist): move_file(src_dir, dst_dir, filename, file_suffix=file_suffix, prefix=prefix, suffix=suffix) def copy_src_platform_files(platform): src_dir = os.path.join('src', platform.src_dir) dst_dir = os.path.join(platform.directory, 'src', platform.src_dir) copy_files(src_dir, dst_dir, filelist=platform.src_files, file_suffix=platform.arch, prefix=platform.prefix, suffix=platform.suffix) def build_target(platform, platform_headers): def xcrun_cmd(cmd): return 'xcrun -sdk %s %s -arch %s' % (platform.sdk, cmd, platform.arch) tag='%s-%s' % (platform.sdk, platform.arch) build_dir = 'build_%s' % tag mkdir_p(build_dir) env = dict(CC=xcrun_cmd('clang'), LD=xcrun_cmd('ld'), CFLAGS='%s' % (platform.version_min)) working_dir = os.getcwd() try: os.chdir(build_dir) subprocess.check_call(['../configure', '-host', platform.triple], env=env) finally: os.chdir(working_dir) for src_dir in [build_dir, os.path.join(build_dir, 'include')]: copy_files(src_dir, os.path.join(platform.directory, 'include'), pattern='*.h', file_suffix=platform.arch, prefix=platform.prefix, suffix=platform.suffix) for filename in list_files(src_dir, pattern='*.h'): platform_headers[filename].add((platform.prefix, platform.arch, platform.suffix)) def generate_source_and_headers(generate_osx=True, generate_ios=True): copy_files('src', 'darwin_common/src', pattern='*.c') copy_files('include', 'darwin_common/include', pattern='*.h') if generate_ios: copy_src_platform_files(simulator_platform) copy_src_platform_files(simulator64_platform) copy_src_platform_files(device_platform) copy_src_platform_files(device64_platform) if generate_osx: copy_src_platform_files(desktop32_platform) copy_src_platform_files(desktop64_platform) platform_headers = collections.defaultdict(set) if generate_ios: build_target(simulator_platform, platform_headers) build_target(simulator64_platform, platform_headers) build_target(device_platform, platform_headers) build_target(device64_platform, platform_headers) if generate_osx: build_target(desktop32_platform, platform_headers) build_target(desktop64_platform, platform_headers) mkdir_p('darwin_common/include') for header_name, tag_tuples in platform_headers.iteritems(): basename, suffix = os.path.splitext(header_name) with open(os.path.join('darwin_common/include', header_name), 'w') as header: for tag_tuple in tag_tuples: header.write('%s#include <%s_%s%s>\n%s\n' % (tag_tuple[0], basename, tag_tuple[1], suffix, tag_tuple[2])) if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--only-ios', action='store_true', default=False) parser.add_argument('--only-osx', action='store_true', default=False) args = parser.parse_args() generate_source_and_headers(generate_osx=not args.only_ios, generate_ios=not args.only_osx)

32.480392

136

0.65741

import subprocess import os import errno import collections import glob import argparse class Platform(object): pass class simulator_platform(Platform): directory = 'darwin_ios' sdk = 'iphonesimulator' arch = 'i386' triple = 'i386-apple-darwin11' version_min = '-miphoneos-version-min=7.0' prefix = "#ifdef __i386__\n\n" suffix = "\n\n#endif" src_dir = 'x86' src_files = ['sysv.S', 'ffi.c', 'internal.h'] class simulator64_platform(Platform): directory = 'darwin_ios' sdk = 'iphonesimulator' arch = 'x86_64' triple = 'x86_64-apple-darwin13' version_min = '-miphoneos-version-min=7.0' prefix = "#ifdef __x86_64__\n\n" suffix = "\n\n#endif" src_dir = 'x86' src_files = ['unix64.S', 'ffi64.c', 'ffiw64.c', 'win64.S', 'internal64.h', 'asmnames.h'] class device_platform(Platform): directory = 'darwin_ios' sdk = 'iphoneos' arch = 'armv7' triple = 'arm-apple-darwin11' version_min = '-miphoneos-version-min=7.0' prefix = "#ifdef __arm__\n\n" suffix = "\n\n#endif" src_dir = 'arm' src_files = ['sysv.S', 'ffi.c', 'internal.h'] class device64_platform(Platform): directory = 'darwin_ios' sdk = 'iphoneos' arch = 'arm64' triple = 'aarch64-apple-darwin13' version_min = '-miphoneos-version-min=7.0' prefix = "#ifdef __arm64__\n\n" suffix = "\n\n#endif" src_dir = 'aarch64' src_files = ['sysv.S', 'ffi.c', 'internal.h'] class desktop32_platform(Platform): directory = 'darwin_osx' sdk = 'macosx' arch = 'i386' triple = 'i386-apple-darwin10' version_min = '-mmacosx-version-min=10.6' src_dir = 'x86' src_files = ['sysv.S', 'ffi.c', 'internal.h'] prefix = "#ifdef __i386__\n\n" suffix = "\n\n#endif" class desktop64_platform(Platform): directory = 'darwin_osx' sdk = 'macosx' arch = 'x86_64' triple = 'x86_64-apple-darwin10' version_min = '-mmacosx-version-min=10.6' prefix = "#ifdef __x86_64__\n\n" suffix = "\n\n#endif" src_dir = 'x86' src_files = ['unix64.S', 'ffi64.c', 'ffiw64.c', 'win64.S', 'internal64.h', 'asmnames.h'] def mkdir_p(path): try: os.makedirs(path) except OSError as exc: if exc.errno != errno.EEXIST: raise def move_file(src_dir, dst_dir, filename, file_suffix=None, prefix='', suffix=''): mkdir_p(dst_dir) out_filename = filename if file_suffix: if filename in ['internal64.h', 'asmnames.h', 'internal.h']: out_filename = filename else: split_name = os.path.splitext(filename) out_filename = "%s_%s%s" % (split_name[0], file_suffix, split_name[1]) with open(os.path.join(src_dir, filename)) as in_file: with open(os.path.join(dst_dir, out_filename), 'w') as out_file: if prefix: out_file.write(prefix) out_file.write(in_file.read()) if suffix: out_file.write(suffix) def list_files(src_dir, pattern=None, filelist=None): if pattern: filelist = glob.iglob(os.path.join(src_dir, pattern)) for file in filelist: yield os.path.basename(file) def copy_files(src_dir, dst_dir, pattern=None, filelist=None, file_suffix=None, prefix=None, suffix=None): for filename in list_files(src_dir, pattern=pattern, filelist=filelist): move_file(src_dir, dst_dir, filename, file_suffix=file_suffix, prefix=prefix, suffix=suffix) def copy_src_platform_files(platform): src_dir = os.path.join('src', platform.src_dir) dst_dir = os.path.join(platform.directory, 'src', platform.src_dir) copy_files(src_dir, dst_dir, filelist=platform.src_files, file_suffix=platform.arch, prefix=platform.prefix, suffix=platform.suffix) def build_target(platform, platform_headers): def xcrun_cmd(cmd): return 'xcrun -sdk %s %s -arch %s' % (platform.sdk, cmd, platform.arch) tag='%s-%s' % (platform.sdk, platform.arch) build_dir = 'build_%s' % tag mkdir_p(build_dir) env = dict(CC=xcrun_cmd('clang'), LD=xcrun_cmd('ld'), CFLAGS='%s' % (platform.version_min)) working_dir = os.getcwd() try: os.chdir(build_dir) subprocess.check_call(['../configure', '-host', platform.triple], env=env) finally: os.chdir(working_dir) for src_dir in [build_dir, os.path.join(build_dir, 'include')]: copy_files(src_dir, os.path.join(platform.directory, 'include'), pattern='*.h', file_suffix=platform.arch, prefix=platform.prefix, suffix=platform.suffix) for filename in list_files(src_dir, pattern='*.h'): platform_headers[filename].add((platform.prefix, platform.arch, platform.suffix)) def generate_source_and_headers(generate_osx=True, generate_ios=True): copy_files('src', 'darwin_common/src', pattern='*.c') copy_files('include', 'darwin_common/include', pattern='*.h') if generate_ios: copy_src_platform_files(simulator_platform) copy_src_platform_files(simulator64_platform) copy_src_platform_files(device_platform) copy_src_platform_files(device64_platform) if generate_osx: copy_src_platform_files(desktop32_platform) copy_src_platform_files(desktop64_platform) platform_headers = collections.defaultdict(set) if generate_ios: build_target(simulator_platform, platform_headers) build_target(simulator64_platform, platform_headers) build_target(device_platform, platform_headers) build_target(device64_platform, platform_headers) if generate_osx: build_target(desktop32_platform, platform_headers) build_target(desktop64_platform, platform_headers) mkdir_p('darwin_common/include') for header_name, tag_tuples in platform_headers.iteritems(): basename, suffix = os.path.splitext(header_name) with open(os.path.join('darwin_common/include', header_name), 'w') as header: for tag_tuple in tag_tuples: header.write('%s#include <%s_%s%s>\n%s\n' % (tag_tuple[0], basename, tag_tuple[1], suffix, tag_tuple[2])) if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--only-ios', action='store_true', default=False) parser.add_argument('--only-osx', action='store_true', default=False) args = parser.parse_args() generate_source_and_headers(generate_osx=not args.only_ios, generate_ios=not args.only_osx)

true

f7fc42617859b39fca4ec402846a53abb9ca0e82

765

py

Python

projects/custom_app_name/custom_app_name/urls.py

mozillazg/django-simple-projects

6ccd1232cb76595f6dbafa282cef2c20edbb1148

[ "MIT" ]

1

2017-07-28T01:42:17.000Z

projects/custom_app_name/custom_app_name/urls.py

mozillazg/django-simple-projects

6ccd1232cb76595f6dbafa282cef2c20edbb1148

[ "MIT" ]

null

projects/custom_app_name/custom_app_name/urls.py

mozillazg/django-simple-projects

6ccd1232cb76595f6dbafa282cef2c20edbb1148

[ "MIT" ]

null

"""custom_app_name URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/1.8/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home') Including another URLconf 1. Add an import: from blog import urls as blog_urls 2. Add a URL to urlpatterns: url(r'^blog/', include(blog_urls)) """ from django.conf.urls import include, url from django.contrib import admin urlpatterns = [ url(r'^admin/', include(admin.site.urls)), ]

34.772727

77

0.708497

from django.conf.urls import include, url from django.contrib import admin urlpatterns = [ url(r'^admin/', include(admin.site.urls)), ]

true

f7fc426d873acd98ac5d3c57bf1a6dea9f80946c

115

py

Python

python/xls/pandas_use.py

edgells/dev_coms

a7e50c32bcb45c6b6781e6d0514fda6ddf8aef02

[ "MIT" ]

null

python/xls/pandas_use.py

edgells/dev_coms

a7e50c32bcb45c6b6781e6d0514fda6ddf8aef02

[ "MIT" ]

null

python/xls/pandas_use.py

edgells/dev_coms

a7e50c32bcb45c6b6781e6d0514fda6ddf8aef02

[ "MIT" ]

null

import pandas as pd xls = pd.read_excel("C:\\Users\\pc11\\Desktop\\data.xlsx") for n in xls[1:100]: print(n)

16.428571

58

0.652174

import pandas as pd xls = pd.read_excel("C:\\Users\\pc11\\Desktop\\data.xlsx") for n in xls[1:100]: print(n)

true

f7fc4308bbe8bcf69a39345a8c61653a6977cd9f

6,224

py

Python

gridscan_insert.py

broncio123/mpmodeling

4910d6fc8822fd7358edeca1ed2e57383ec5bc35

[ "MIT" ]

null

gridscan_insert.py

broncio123/mpmodeling

4910d6fc8822fd7358edeca1ed2e57383ec5bc35

[ "MIT" ]

null

gridscan_insert.py

broncio123/mpmodeling

4910d6fc8822fd7358edeca1ed2e57383ec5bc35

[ "MIT" ]

null

#!/usr/bin/env python import concurrent.futures import sys,itertools, subprocess, isambard_dev, time, os import numpy as np from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from gridscan_setup import Pdb,Crick_Parameters,BUDE_Energies,Interhelix_Interactions,HOLE_Output,SASA_Estimates,Base import analyse_protein_properties # SQLAlchemy stuff dbfile = sys.argv[1] # Database filename ncores = int(sys.argv[2]) # Number of cores to use protein_set = sys.argv[3] # Type of protein structure if protein_set == 'whole': crystal_structure_pdb = sys.argv[4] # PDB of crystal structure for alignment else: crystal_structure_pdb = "None" engine = create_engine('sqlite:///'+dbfile) Base.metadata.bind = engine DBSession = sessionmaker(bind=engine) session = DBSession() npeptides = 8 sequence = 'VPTITGVHDLTETVRYIKT' nresidues = len(sequence) # Mean Crick parameters from cWza V358-T376 PDB (Crystal structure) mean_radius = 15.3063556447 # [Angstroms] mean_pitch = 155.121966666 # [Angstroms] mean_phica = -65.0829383279 # [deg] # Grid length per axis radius_length = 6 # [Angstroms] pitch_length = 200 # [Angstroms] phica_length = 5 # [deg] # Grid resolution radius_step = 0.25 # [Angstroms]; Test value: 5 pitch_step = 5 # [Angstroms]; Test value: 100 phica_step = 0.5 # [deg]; Test value: 4 # Define grid axes in Crick space radius_axis = np.arange(mean_radius - radius_length, mean_radius + radius_length, radius_step) pitch_axis = np.arange(10,210,5) phica_axis = np.arange(mean_phica - phica_length, mean_phica + phica_length, phica_step) param_triple = list(itertools.product(radius_axis,pitch_axis,phica_axis)) # Useful output messages print("Test date: "+str(time.strftime("%d/%m/%Y"))+'; time:'+str(time.strftime("%H:%M:%S"))) print("Volume in Crick parameter space:") print("Radius: [%f, %f] [Angstroms]"%(radius_axis.min(), radius_axis.max())) print("Pitch length: [%f, %f] [Angstroms]"%(pitch_axis.min(), pitch_axis.max())) print("Interface Angle (PhiCa): [%f, %f] [deg]"%(phica_axis.min(), phica_axis.max())) print("Grid resolution:") print("Radius, axis: %f [Angstroms]"%radius_step) print("Pitch length, axis: %f [Angstroms]"%pitch_step) print("Interface Angle (PhiCa), axis: %f [deg]"%phica_step) print("%d models will be sampled"%len(param_triple)) print("Crystal structure for alignment: %s"%crystal_structure_pdb) print("Oligomer: %d helices"%npeptides) print("Output database: %s"%dbfile) # Generate simplified id per model identity Nrad = range(len(radius_axis)) Npitch = range(len(pitch_axis)) Nphica = range(len(phica_axis)) ident_triple = list(itertools.product(Nrad,Npitch,Nphica)) tmp_outfolder = 'mymodels_'+str(time.strftime("%d-%m-%Y"))+'_'+str(time.strftime("%H:%M:%S")) subprocess.call(['mkdir',tmp_outfolder]) def process_model(n): # MODEL GENERATION ## 1.1 Set identity tag of model in grid and save in database nrad,npitch,nphica = ident_triple[n] model_tag = str(nrad)+'-'+str(npitch)+'-'+str(nphica) model = Pdb(pdb_code = model_tag) session.add(model) ## 1.2 Set Crick parameters of model in grid model_radius,model_pitch,model_phica = param_triple[n] model_parameters = Crick_Parameters(npeptides=8,radius=model_radius,pitch_length=model_pitch,iangle_phica=model_phica,pdb=model) session.add(model_parameters) ## 1.4 Build model with helical packing parameters model_ampal = isambard_dev.ampal.specifications.CoiledCoil.from_parameters(npeptides,nresidues,model_radius,model_pitch,model_phica) model_ampal.build() model_ampal.pack_new_sequences((sequence)*npeptides) # 1.5 Save model coordinates in PDB model_pdb = tmp_outfolder+'/'+'model'+'_'+model_tag+'.pdb' with open(model_pdb, 'w') as x: x.write(model_ampal.pdb) if protein_set == 'whole': whole_model_pdb = tmp_outfolder+'/'+'whole_model'+'_'+model_tag+'.pdb' model_ampal = analyse_protein_properties.pymol_align_protein2model(crystal_structure_pdb,model_pdb,whole_model_pdb) old_model_pdb = model_pdb model_pdb = whole_model_pdb # ANALYSE MODEL IN GRID ## 2.1 All BUDE energetic components for helix-helix interactions [kcal/mol] charge_buff,steric_buff,desolv_buff = analyse_protein_properties.buff_energies(model_ampal) model_energies = BUDE_Energies(buff_electrostatic_energy=charge_buff,buff_steric_energy=steric_buff,buff_desolvation_energy=desolv_buff,pdb=model) session.add(model_energies) ## 2.2 Number Salt bridges, Hydrogen bonds, and Knobs-Into-Holes interactions between helices model_nsbridges = analyse_protein_properties.salt_bridges(model_ampal) model_nhbonds = analyse_protein_properties.hydrogen_bonds(model_ampal) model_nkihs = analyse_protein_properties.knobs_into_holes(model_ampal) model_interhelix_interactions = Interhelix_Interactions(nsbridges=model_nsbridges,nhbonds=model_nhbonds,nkihs=model_nkihs,pdb=model) session.add(model_interhelix_interactions) ## 2.3 Solvent Accessible Surface Area (SASA) estimates per residue-type group [Angstrom^2] sasa_hydrophobes,sasa_nonhydrophobes,sasa_ncharged,sasa_pcharged = analyse_protein_properties.sasas(model_pdb) model_sasas = SASA_Estimates(sasa_hydrophobes=sasa_hydrophobes,sasa_nonhydrophobes=sasa_nonhydrophobes,sasa_ncharged=sasa_ncharged,sasa_pcharged=sasa_pcharged,pdb=model) session.add(model_sasas) ## 2.4 HOLE dimensions [Angstroms] and conductance estimates [nS] HOLE_dimensions,HOLE_conductance_estimates = analyse_protein_properties.hole(model_pdb) VDW_Rmin,pore_length = HOLE_dimensions Gmacro,Gpred_Rmin,Gpred_Length,Gpred_AvgEPot = HOLE_conductance_estimates model_HOLE = HOLE_Output(HOLE_Rmin=VDW_Rmin,HOLE_Length=pore_length,Gmacro=Gmacro,Gpred_Rmin=Gpred_Rmin,Gpred_Length=Gpred_Length,Gpred_AvgEPot=Gpred_AvgEPot,pdb=model) session.add(model_HOLE) session.commit() # Remove output files, all relevant data saved in database subprocess.call(['rm',old_model_pdb]) subprocess.call(['rm',model_pdb]) subprocess.call(['rm',model_pdb[:-4]+'.hole_inp']) subprocess.call(['rm',model_pdb[:-4]+'.hole_dat']) model_n = list(range(len(ident_triple))) def main(): with concurrent.futures.ProcessPoolExecutor(max_workers=ncores) as executor: executor.map(process_model, model_n) if __name__ == '__main__': main()

42.924138

171

0.781973

import concurrent.futures import sys,itertools, subprocess, isambard_dev, time, os import numpy as np from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from gridscan_setup import Pdb,Crick_Parameters,BUDE_Energies,Interhelix_Interactions,HOLE_Output,SASA_Estimates,Base import analyse_protein_properties dbfile = sys.argv[1] ncores = int(sys.argv[2]) protein_set = sys.argv[3] if protein_set == 'whole': crystal_structure_pdb = sys.argv[4] else: crystal_structure_pdb = "None" engine = create_engine('sqlite:///'+dbfile) Base.metadata.bind = engine DBSession = sessionmaker(bind=engine) session = DBSession() npeptides = 8 sequence = 'VPTITGVHDLTETVRYIKT' nresidues = len(sequence) mean_radius = 15.3063556447 mean_pitch = 155.121966666 mean_phica = -65.0829383279 radius_length = 6 pitch_length = 200 phica_length = 5 radius_step = 0.25 pitch_step = 5 phica_step = 0.5 radius_axis = np.arange(mean_radius - radius_length, mean_radius + radius_length, radius_step) pitch_axis = np.arange(10,210,5) phica_axis = np.arange(mean_phica - phica_length, mean_phica + phica_length, phica_step) param_triple = list(itertools.product(radius_axis,pitch_axis,phica_axis)) print("Test date: "+str(time.strftime("%d/%m/%Y"))+'; time:'+str(time.strftime("%H:%M:%S"))) print("Volume in Crick parameter space:") print("Radius: [%f, %f] [Angstroms]"%(radius_axis.min(), radius_axis.max())) print("Pitch length: [%f, %f] [Angstroms]"%(pitch_axis.min(), pitch_axis.max())) print("Interface Angle (PhiCa): [%f, %f] [deg]"%(phica_axis.min(), phica_axis.max())) print("Grid resolution:") print("Radius, axis: %f [Angstroms]"%radius_step) print("Pitch length, axis: %f [Angstroms]"%pitch_step) print("Interface Angle (PhiCa), axis: %f [deg]"%phica_step) print("%d models will be sampled"%len(param_triple)) print("Crystal structure for alignment: %s"%crystal_structure_pdb) print("Oligomer: %d helices"%npeptides) print("Output database: %s"%dbfile) Nrad = range(len(radius_axis)) Npitch = range(len(pitch_axis)) Nphica = range(len(phica_axis)) ident_triple = list(itertools.product(Nrad,Npitch,Nphica)) tmp_outfolder = 'mymodels_'+str(time.strftime("%d-%m-%Y"))+'_'+str(time.strftime("%H:%M:%S")) subprocess.call(['mkdir',tmp_outfolder]) def process_model(n): )+'-'+str(npitch)+'-'+str(nphica) model = Pdb(pdb_code = model_tag) session.add(model) ram_triple[n] model_parameters = Crick_Parameters(npeptides=8,radius=model_radius,pitch_length=model_pitch,iangle_phica=model_phica,pdb=model) session.add(model_parameters) .CoiledCoil.from_parameters(npeptides,nresidues,model_radius,model_pitch,model_phica) model_ampal.build() model_ampal.pack_new_sequences((sequence)*npeptides) model_pdb = tmp_outfolder+'/'+'model'+'_'+model_tag+'.pdb' with open(model_pdb, 'w') as x: x.write(model_ampal.pdb) if protein_set == 'whole': whole_model_pdb = tmp_outfolder+'/'+'whole_model'+'_'+model_tag+'.pdb' model_ampal = analyse_protein_properties.pymol_align_protein2model(crystal_structure_pdb,model_pdb,whole_model_pdb) old_model_pdb = model_pdb model_pdb = whole_model_pdb rgies(model_ampal) model_energies = BUDE_Energies(buff_electrostatic_energy=charge_buff,buff_steric_energy=steric_buff,buff_desolvation_energy=desolv_buff,pdb=model) session.add(model_energies) alyse_protein_properties.hydrogen_bonds(model_ampal) model_nkihs = analyse_protein_properties.knobs_into_holes(model_ampal) model_interhelix_interactions = Interhelix_Interactions(nsbridges=model_nsbridges,nhbonds=model_nhbonds,nkihs=model_nkihs,pdb=model) session.add(model_interhelix_interactions) rties.sasas(model_pdb) model_sasas = SASA_Estimates(sasa_hydrophobes=sasa_hydrophobes,sasa_nonhydrophobes=sasa_nonhydrophobes,sasa_ncharged=sasa_ncharged,sasa_pcharged=sasa_pcharged,pdb=model) session.add(model_sasas) roperties.hole(model_pdb) VDW_Rmin,pore_length = HOLE_dimensions Gmacro,Gpred_Rmin,Gpred_Length,Gpred_AvgEPot = HOLE_conductance_estimates model_HOLE = HOLE_Output(HOLE_Rmin=VDW_Rmin,HOLE_Length=pore_length,Gmacro=Gmacro,Gpred_Rmin=Gpred_Rmin,Gpred_Length=Gpred_Length,Gpred_AvgEPot=Gpred_AvgEPot,pdb=model) session.add(model_HOLE) session.commit() subprocess.call(['rm',old_model_pdb]) subprocess.call(['rm',model_pdb]) subprocess.call(['rm',model_pdb[:-4]+'.hole_inp']) subprocess.call(['rm',model_pdb[:-4]+'.hole_dat']) model_n = list(range(len(ident_triple))) def main(): with concurrent.futures.ProcessPoolExecutor(max_workers=ncores) as executor: executor.map(process_model, model_n) if __name__ == '__main__': main()

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