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# Copyright (c) 1999-2008 Mark D. Hill and David A. Wood # Copyright (c) 2009 The Hewlett-Packard Development Company # 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 the copyright holders 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. from slicc.ast.DeclAST import DeclAST from slicc.symbols.Type import Type
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# #!/usr/bin/python # -*- coding: utf-8 -*- # test_preempt_return.py # pylint: disable=line-too-long,missing-docstring,bad-whitespace, unused-argument, too-many-locals import sys import os import random import unittest DIRNAME_MODULE = os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(sys.argv[0])))) + os.sep sys.path.append(DIRNAME_MODULE) sys.path.append(DIRNAME_MODULE + "pyss" + os.sep) from pyss import pyssobject from pyss.pyss_model import PyssModel from pyss.segment import Segment from pyss.generate import Generate from pyss.terminate import Terminate from pyss import logger from pyss.table import Table from pyss.handle import Handle from pyss.enter import Enter from pyss.leave import Leave from pyss.storage import Storage from pyss.advance import Advance from pyss.preempt import Preempt from pyss.g_return import GReturn from pyss.facility import Facility from pyss.seize import Seize from pyss.release import Release from pyss.transfer import Transfer from pyss.test import Test from pyss.pyss_const import * if __name__ == '__main__': unittest.main(module="test_preempt_return")
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from __future__ import absolute_import from __future__ import division from __future__ import print_function import numpy as np import ray from ray.rllib.ddpg2.models import DDPGModel from ray.rllib.models.catalog import ModelCatalog from ray.rllib.optimizers import PolicyEvaluator from ray.rllib.utils.filter import NoFilter from ray.rllib.utils.process_rollout import process_rollout from ray.rllib.utils.sampler import SyncSampler RemoteDDPGEvaluator = ray.remote(DDPGEvaluator)
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from graphviz import Digraph from collections import namedtuple
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"""Add Huawei 2G managedobjects Revision ID: 1d092815507a Revises: 3fa514f1b7a9 Create Date: 2018-02-13 01:38:59.965000 """ from alembic import op import sqlalchemy as sa import datetime # revision identifiers, used by Alembic. revision = '1d092815507a' down_revision = '3fa514f1b7a9' branch_labels = None depends_on = None
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from math import sqrt from skimage import data from skimage.feature import blob_dog, blob_log, blob_doh from skimage.color import rgb2gray from skimage import io import matplotlib.pyplot as plt image = io.imread("star.jpg") image_gray = rgb2gray(image) blobs_log = blob_log(image_gray, max_sigma=30, num_sigma=10, threshold=.1) # Compute radii in the 3rd column. blobs_log[:, 2] = blobs_log[:, 2] * sqrt(2) blobs_dog = blob_dog(image_gray, max_sigma=30, threshold=.1) blobs_dog[:, 2] = blobs_dog[:, 2] * sqrt(2) blobs_doh = blob_doh(image_gray, max_sigma=30, threshold=.01) blobs_list = [blobs_log, blobs_dog, blobs_doh] colors = ['yellow', 'lime', 'red'] titles = ['Laplacian of Gaussian', 'Difference of Gaussian', 'Determinant of Hessian'] sequence = zip(blobs_list, colors, titles) fig, axes = plt.subplots(1, 3, figsize=(9, 3), sharex=True, sharey=True) ax = axes.ravel() for idx, (blobs, color, title) in enumerate(sequence): ax[idx].set_title(title) ax[idx].imshow(image) for blob in blobs: y, x, r = blob c = plt.Circle((x, y), r, color=color, linewidth=2, fill=False) ax[idx].add_patch(c) ax[idx].set_axis_off() plt.tight_layout() plt.show()
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from turtle import Turtle SPEED = 10
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from jry2.semantics import Expr
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# -*- coding: utf-8 -*- r""" Dirichlet characters A :class:`DirichletCharacter` is the extension of a homomorphism .. MATH:: (\ZZ/N\ZZ)^* \to R^*, for some ring `R`, to the map `\ZZ/N\ZZ \to R` obtained by sending those `x\in\ZZ/N\ZZ` with `\gcd(N,x)>1` to `0`. EXAMPLES:: sage: G = DirichletGroup(35) sage: x = G.gens() sage: e = x[0]*x[1]^2; e Dirichlet character modulo 35 of conductor 35 mapping 22 |--> zeta12^3, 31 |--> zeta12^2 - 1 sage: e.order() 12 This illustrates a canonical coercion:: sage: e = DirichletGroup(5, QQ).0 sage: f = DirichletGroup(5,CyclotomicField(4)).0 sage: e*f Dirichlet character modulo 5 of conductor 5 mapping 2 |--> -zeta4 AUTHORS: - William Stein (2005-09-02): Fixed bug in comparison of Dirichlet characters. It was checking that their values were the same, but not checking that they had the same level! - William Stein (2006-01-07): added more examples - William Stein (2006-05-21): added examples of everything; fix a *lot* of tiny bugs and design problem that became clear when creating examples. - Craig Citro (2008-02-16): speed up __call__ method for Dirichlet characters, miscellaneous fixes - Julian Rueth (2014-03-06): use UniqueFactory to cache DirichletGroups """ # **************************************************************************** # Copyright (C) 2004-2006 William Stein <wstein@gmail.com> # Copyright (C) 2014 Julian Rueth <julian.rueth@fsfe.org> # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 2 of the License, or # (at your option) any later version. # https://www.gnu.org/licenses/ # **************************************************************************** from __future__ import print_function import sage.categories.all as cat from sage.misc.all import prod import sage.misc.prandom as random import sage.modules.free_module as free_module import sage.modules.free_module_element as free_module_element import sage.rings.all as rings import sage.rings.number_field.number_field as number_field from sage.libs.pari import pari from sage.categories.map import Map from sage.rings.rational_field import is_RationalField from sage.rings.complex_mpfr import is_ComplexField from sage.rings.qqbar import is_AlgebraicField from sage.rings.ring import is_Ring from sage.misc.functional import round from sage.misc.cachefunc import cached_method from sage.misc.fast_methods import WithEqualityById from sage.structure.element import MultiplicativeGroupElement from sage.structure.gens_py import multiplicative_iterator from sage.structure.parent import Parent from sage.structure.sequence import Sequence from sage.structure.factory import UniqueFactory from sage.structure.richcmp import richcmp from sage.arith.all import (binomial, bernoulli, kronecker, factor, gcd, lcm, fundamental_discriminant, euler_phi, factorial, valuation) def trivial_character(N, base_ring=rings.RationalField()): r""" Return the trivial character of the given modulus, with values in the given base ring. EXAMPLES:: sage: t = trivial_character(7) sage: [t(x) for x in [0..20]] [0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1] sage: t(1).parent() Rational Field sage: trivial_character(7, Integers(3))(1).parent() Ring of integers modulo 3 """ return DirichletGroup(N, base_ring)(1) TrivialCharacter = trivial_character def kronecker_character(d): """ Return the quadratic Dirichlet character (d/.) of minimal conductor. EXAMPLES:: sage: kronecker_character(97*389*997^2) Dirichlet character modulo 37733 of conductor 37733 mapping 1557 |--> -1, 37346 |--> -1 :: sage: a = kronecker_character(1) sage: b = DirichletGroup(2401,QQ)(a) # NOTE -- over QQ! sage: b.modulus() 2401 AUTHORS: - Jon Hanke (2006-08-06) """ d = rings.Integer(d) if d == 0: raise ValueError("d must be nonzero") D = fundamental_discriminant(d) G = DirichletGroup(abs(D), rings.RationalField()) return G([kronecker(D,u) for u in G.unit_gens()]) def kronecker_character_upside_down(d): """ Return the quadratic Dirichlet character (./d) of conductor d, for d0. EXAMPLES:: sage: kronecker_character_upside_down(97*389*997^2) Dirichlet character modulo 37506941597 of conductor 37733 mapping 13533432536 |--> -1, 22369178537 |--> -1, 14266017175 |--> 1 AUTHORS: - Jon Hanke (2006-08-06) """ d = rings.Integer(d) if d <= 0: raise ValueError("d must be positive") G = DirichletGroup(d, rings.RationalField()) return G([kronecker(u.lift(),d) for u in G.unit_gens()]) def is_DirichletCharacter(x): r""" Return True if x is of type DirichletCharacter. EXAMPLES:: sage: from sage.modular.dirichlet import is_DirichletCharacter sage: is_DirichletCharacter(trivial_character(3)) True sage: is_DirichletCharacter([1]) False """ return isinstance(x, DirichletCharacter) def _pari_conversion(self): r""" Prepare data for the conversion of the character to Pari. OUTPUT: pair (G, v) where G is `(\ZZ / N \ZZ)^*` where `N` is the modulus EXAMPLES:: sage: chi4 = DirichletGroup(4).gen() sage: chi4._pari_conversion() ([[4, [0]], [2, [2], [3]], [[2]~, Vecsmall([2])], [[4], [[1, matrix(0,2)]], Mat(1), [3], [2], [0]], Mat(1)], [1]) sage: chi = DirichletGroup(24)([1,-1,-1]); chi Dirichlet character modulo 24 of conductor 24 mapping 7 |--> 1, 13 |--> -1, 17 |--> -1 sage: chi._pari_conversion() ([[24, [0]], [8, [2, 2, 2], [7, 13, 17]], [[2, 2, 3]~, Vecsmall([3, 3, 1])], [[8, 8, 3], [[1, matrix(0,2)], [1, matrix(0,2)], [2, Mat([2, 1])]], [1, 0, 0; 0, 1, 0; 0, 0, 1], [7, 13, 17], [2, 2, 2], [0, 0, 0]], [1, 0, 0; 0, 1, 0; 0, 0, 1]], [0, 1, 1]) """ G = pari.znstar(self.modulus(), 1) pari_orders = G[1][1] pari_gens = G[1][2] # one should use the following, but this does not work # pari_orders = G.cyc() # pari_gens = G.gen() values_on_gens = (self(x) for x in pari_gens) # now compute the input for pari (list of exponents) P = self.parent() if is_ComplexField(P.base_ring()): zeta = P.zeta() zeta_argument = zeta.argument() v = [int(x.argument() / zeta_argument) for x in values_on_gens] else: dlog = P._zeta_dlog v = [dlog[x] for x in values_on_gens] m = P.zeta_order() v = [(vi * oi) // m for vi, oi in zip(v, pari_orders)] return (G, v) def conrey_number(self): r""" Return the Conrey number for this character. This is a positive integer coprime to q that identifies a Dirichlet character of modulus q. See https://www.lmfdb.org/knowledge/show/character.dirichlet.conrey EXAMPLES:: sage: chi4 = DirichletGroup(4).gen() sage: chi4.conrey_number() 3 sage: chi = DirichletGroup(24)([1,-1,-1]); chi Dirichlet character modulo 24 of conductor 24 mapping 7 |--> 1, 13 |--> -1, 17 |--> -1 sage: chi.conrey_number() 5 sage: chi = DirichletGroup(60)([1,-1,I]) sage: chi.conrey_number() 17 sage: chi = DirichletGroup(420)([1,-1,-I,1]) sage: chi.conrey_number() 113 TESTS:: sage: eps1 = DirichletGroup(5)([-1]) sage: eps2 = DirichletGroup(5,QQ)([-1]) sage: eps1.conrey_number() == eps2.conrey_number() True """ G, v = self._pari_conversion() return pari.znconreyexp(G, v).sage() def lmfdb_page(self): r""" Open the LMFDB web page of the character in a browser. See https://www.lmfdb.org EXAMPLES:: sage: E = DirichletGroup(4).gen() sage: E.lmfdb_page() # optional -- webbrowser """ import webbrowser lmfdb_url = 'https://www.lmfdb.org/Character/Dirichlet/{}/{}' url = lmfdb_url.format(self.modulus(), self.conrey_number()) webbrowser.open(url) def galois_orbit(self, sort=True): r""" Return the orbit of this character under the action of the absolute Galois group of the prime subfield of the base ring. EXAMPLES:: sage: G = DirichletGroup(30); e = G.1 sage: e.galois_orbit() [Dirichlet character modulo 30 of conductor 5 mapping 11 |--> 1, 7 |--> -zeta4, Dirichlet character modulo 30 of conductor 5 mapping 11 |--> 1, 7 |--> zeta4] Another example:: sage: G = DirichletGroup(13) sage: G.galois_orbits() [ [Dirichlet character modulo 13 of conductor 1 mapping 2 |--> 1], ..., [Dirichlet character modulo 13 of conductor 13 mapping 2 |--> -1] ] sage: e = G.0 sage: e Dirichlet character modulo 13 of conductor 13 mapping 2 |--> zeta12 sage: e.galois_orbit() [Dirichlet character modulo 13 of conductor 13 mapping 2 |--> zeta12, Dirichlet character modulo 13 of conductor 13 mapping 2 |--> -zeta12^3 + zeta12, Dirichlet character modulo 13 of conductor 13 mapping 2 |--> zeta12^3 - zeta12, Dirichlet character modulo 13 of conductor 13 mapping 2 |--> -zeta12] sage: e = G.0^2; e Dirichlet character modulo 13 of conductor 13 mapping 2 |--> zeta12^2 sage: e.galois_orbit() [Dirichlet character modulo 13 of conductor 13 mapping 2 |--> zeta12^2, Dirichlet character modulo 13 of conductor 13 mapping 2 |--> -zeta12^2 + 1] A non-example:: sage: chi = DirichletGroup(7, Integers(9), zeta = Integers(9)(2)).0 sage: chi.galois_orbit() Traceback (most recent call last): ... TypeError: Galois orbits only defined if base ring is an integral domain """ if not self.base_ring().is_integral_domain(): raise TypeError("Galois orbits only defined if base ring is an integral domain") k = self.order() if k <= 2: return [self] P = self.parent() z = self.element() o = int(z.additive_order()) Auts = set([m % o for m in P._automorphisms()]) v = [P.element_class(P, m * z, check=False) for m in Auts] if sort: v.sort() return v def gauss_sum(self, a=1): r""" Return a Gauss sum associated to this Dirichlet character. The Gauss sum associated to `\chi` is .. MATH:: g_a(\chi) = \sum_{r \in \ZZ/m\ZZ} \chi(r)\,\zeta^{ar}, where `m` is the modulus of `\chi` and `\zeta` is a primitive `m^{th}` root of unity. FACTS: If the modulus is a prime `p` and the character is nontrivial, then the Gauss sum has absolute value `\sqrt{p}`. CACHING: Computed Gauss sums are *not* cached with this character. EXAMPLES:: sage: G = DirichletGroup(3) sage: e = G([-1]) sage: e.gauss_sum(1) 2*zeta6 - 1 sage: e.gauss_sum(2) -2*zeta6 + 1 sage: norm(e.gauss_sum()) 3 :: sage: G = DirichletGroup(13) sage: e = G.0 sage: e.gauss_sum() -zeta156^46 + zeta156^45 + zeta156^42 + zeta156^41 + 2*zeta156^40 + zeta156^37 - zeta156^36 - zeta156^34 - zeta156^33 - zeta156^31 + 2*zeta156^30 + zeta156^28 - zeta156^24 - zeta156^22 + zeta156^21 + zeta156^20 - zeta156^19 + zeta156^18 - zeta156^16 - zeta156^15 - 2*zeta156^14 - zeta156^10 + zeta156^8 + zeta156^7 + zeta156^6 + zeta156^5 - zeta156^4 - zeta156^2 - 1 sage: factor(norm(e.gauss_sum())) 13^24 TESTS: The field of algebraic numbers is supported (:trac:`19056`):: sage: G = DirichletGroup(7, QQbar) sage: G[1].gauss_sum() -2.440133358345538? + 1.022618791871794?*I Check that :trac:`19060` is fixed:: sage: K.<z> = CyclotomicField(8) sage: G = DirichletGroup(13, K) sage: chi = G([z^2]) sage: chi.gauss_sum() zeta52^22 + zeta52^21 + zeta52^19 - zeta52^16 + zeta52^15 + zeta52^14 + zeta52^12 - zeta52^11 - zeta52^10 - zeta52^7 - zeta52^5 + zeta52^4 Check that :trac:`25127` is fixed:: sage: G = DirichletGroup(1) sage: chi = G.one() sage: chi.gauss_sum() 1 .. SEEALSO:: - :func:`sage.arith.misc.gauss_sum` for general finite fields - :func:`sage.rings.padics.misc.gauss_sum` for a `p`-adic version """ G = self.parent() K = G.base_ring() chi = self m = G.modulus() if is_ComplexField(K): return self.gauss_sum_numerical(a=a) elif is_AlgebraicField(K): L = K zeta = L.zeta(m) elif number_field.is_CyclotomicField(K) or is_RationalField(K): chi = chi.minimize_base_ring() n = lcm(m, G.zeta_order()) L = rings.CyclotomicField(n) zeta = L.gen(0) ** (n // m) else: raise NotImplementedError("Gauss sums only currently implemented when the base ring is a cyclotomic field, QQ, QQbar, or a complex field") zeta = zeta ** a g = L(chi(0)) z = L.one() for c in chi.values()[1:]: z *= zeta g += L(c)*z return g def gauss_sum_numerical(self, prec=53, a=1): r""" Return a Gauss sum associated to this Dirichlet character as an approximate complex number with prec bits of precision. INPUT: - ``prec`` -- integer (default: 53), *bits* of precision - ``a`` -- integer, as for :meth:`gauss_sum`. The Gauss sum associated to `\chi` is .. MATH:: g_a(\chi) = \sum_{r \in \ZZ/m\ZZ} \chi(r)\,\zeta^{ar}, where `m` is the modulus of `\chi` and `\zeta` is a primitive `m^{th}` root of unity. EXAMPLES:: sage: G = DirichletGroup(3) sage: e = G.0 sage: abs(e.gauss_sum_numerical()) 1.7320508075... sage: sqrt(3.0) 1.73205080756888 sage: e.gauss_sum_numerical(a=2) -...e-15 - 1.7320508075...*I sage: e.gauss_sum_numerical(a=2, prec=100) 4.7331654313260708324703713917e-30 - 1.7320508075688772935274463415*I sage: G = DirichletGroup(13) sage: H = DirichletGroup(13, CC) sage: e = G.0 sage: f = H.0 sage: e.gauss_sum_numerical() -3.07497205... + 1.8826966926...*I sage: f.gauss_sum_numerical() -3.07497205... + 1.8826966926...*I sage: abs(e.gauss_sum_numerical()) 3.60555127546... sage: abs(f.gauss_sum_numerical()) 3.60555127546... sage: sqrt(13.0) 3.60555127546399 TESTS: The field of algebraic numbers is supported (:trac:`19056`):: sage: G = DirichletGroup(7, QQbar) sage: G[1].gauss_sum_numerical() -2.44013335834554 + 1.02261879187179*I """ G = self.parent() K = G.base_ring() if is_ComplexField(K): phi = lambda t : t CC = K elif is_AlgebraicField(K): from sage.rings.complex_mpfr import ComplexField CC = ComplexField(prec) phi = CC.coerce_map_from(K) elif number_field.is_CyclotomicField(K) or is_RationalField(K): phi = K.complex_embedding(prec) CC = phi.codomain() else: raise NotImplementedError("Gauss sums only currently implemented when the base ring is a cyclotomic field, QQ, QQbar, or a complex field") zeta = CC.zeta(G.modulus()) ** a g = phi(self(0)) z = CC.one() for c in self.values()[1:]: z *= zeta g += phi(c)*z return g def jacobi_sum(self, char, check=True): r""" Return the Jacobi sum associated to these Dirichlet characters (i.e., J(self,char)). This is defined as .. MATH:: J(\chi, \psi) = \sum_{a \in \ZZ / N\ZZ} \chi(a) \psi(1-a) where `\chi` and `\psi` are both characters modulo `N`. EXAMPLES:: sage: D = DirichletGroup(13) sage: e = D.0 sage: f = D[-2] sage: e.jacobi_sum(f) 3*zeta12^2 + 2*zeta12 - 3 sage: f.jacobi_sum(e) 3*zeta12^2 + 2*zeta12 - 3 sage: p = 7 sage: DP = DirichletGroup(p) sage: f = DP.0 sage: e.jacobi_sum(f) Traceback (most recent call last): ... NotImplementedError: Characters must be from the same Dirichlet Group. sage: all_jacobi_sums = [(DP[i].values_on_gens(),DP[j].values_on_gens(),DP[i].jacobi_sum(DP[j])) ....: for i in range(p-1) for j in range(i, p-1)] sage: for s in all_jacobi_sums: ....: print(s) ((1,), (1,), 5) ((1,), (zeta6,), -1) ((1,), (zeta6 - 1,), -1) ((1,), (-1,), -1) ((1,), (-zeta6,), -1) ((1,), (-zeta6 + 1,), -1) ((zeta6,), (zeta6,), -zeta6 + 3) ((zeta6,), (zeta6 - 1,), 2*zeta6 + 1) ((zeta6,), (-1,), -2*zeta6 - 1) ((zeta6,), (-zeta6,), zeta6 - 3) ((zeta6,), (-zeta6 + 1,), 1) ((zeta6 - 1,), (zeta6 - 1,), -3*zeta6 + 2) ((zeta6 - 1,), (-1,), 2*zeta6 + 1) ((zeta6 - 1,), (-zeta6,), -1) ((zeta6 - 1,), (-zeta6 + 1,), -zeta6 - 2) ((-1,), (-1,), 1) ((-1,), (-zeta6,), -2*zeta6 + 3) ((-1,), (-zeta6 + 1,), 2*zeta6 - 3) ((-zeta6,), (-zeta6,), 3*zeta6 - 1) ((-zeta6,), (-zeta6 + 1,), -2*zeta6 + 3) ((-zeta6 + 1,), (-zeta6 + 1,), zeta6 + 2) Let's check that trivial sums are being calculated correctly:: sage: N = 13 sage: D = DirichletGroup(N) sage: g = D(1) sage: g.jacobi_sum(g) 11 sage: sum([g(x)*g(1-x) for x in IntegerModRing(N)]) 11 And sums where exactly one character is nontrivial (see :trac:`6393`):: sage: G = DirichletGroup(5); X=G.list(); Y=X[0]; Z=X[1] sage: Y.jacobi_sum(Z) -1 sage: Z.jacobi_sum(Y) -1 Now let's take a look at a non-prime modulus:: sage: N = 9 sage: D = DirichletGroup(N) sage: g = D(1) sage: g.jacobi_sum(g) 3 We consider a sum with values in a finite field:: sage: g = DirichletGroup(17, GF(9,'a')).0 sage: g.jacobi_sum(g**2) 2*a TESTS: This shows that :trac:`6393` has been fixed:: sage: G = DirichletGroup(5); X = G.list(); Y = X[0]; Z = X[1] sage: # Y is trivial and Z is quartic sage: sum([Y(x)*Z(1-x) for x in IntegerModRing(5)]) -1 sage: # The value -1 above is the correct value of the Jacobi sum J(Y, Z). sage: Y.jacobi_sum(Z); Z.jacobi_sum(Y) -1 -1 """ if check: if self.parent() != char.parent(): raise NotImplementedError("Characters must be from the same Dirichlet Group.") return sum([self(x) * char(1-x) for x in rings.IntegerModRing(self.modulus())]) def kloosterman_sum(self, a=1, b=0): r""" Return the "twisted" Kloosterman sum associated to this Dirichlet character. This includes Gauss sums, classical Kloosterman sums, Sali sums, etc. The Kloosterman sum associated to `\chi` and the integers a,b is .. MATH:: K(a,b,\chi) = \sum_{r \in (\ZZ/m\ZZ)^\times} \chi(r)\,\zeta^{ar+br^{-1}}, where `m` is the modulus of `\chi` and `\zeta` is a primitive `m` th root of unity. This reduces to the Gauss sum if `b=0`. This method performs an exact calculation and returns an element of a suitable cyclotomic field; see also :meth:`.kloosterman_sum_numerical`, which gives an inexact answer (but is generally much quicker). CACHING: Computed Kloosterman sums are *not* cached with this character. EXAMPLES:: sage: G = DirichletGroup(3) sage: e = G([-1]) sage: e.kloosterman_sum(3,5) -2*zeta6 + 1 sage: G = DirichletGroup(20) sage: e = G([1 for u in G.unit_gens()]) sage: e.kloosterman_sum(7,17) -2*zeta20^6 + 2*zeta20^4 + 4 TESTS:: sage: G = DirichletGroup(20, UniversalCyclotomicField()) sage: e = G([1 for u in G.unit_gens()]) sage: e.kloosterman_sum(7,17) -2*E(5) - 4*E(5)^2 - 4*E(5)^3 - 2*E(5)^4 sage: G = DirichletGroup(12, QQbar) sage: e = G.gens()[0] sage: e.kloosterman_sum(5,11) Traceback (most recent call last): ... NotImplementedError: Kloosterman sums not implemented over this ring """ G = self.parent() zo = G.zeta_order() m = G.modulus() g = 0 L = rings.CyclotomicField(m.lcm(zo)) zeta = L.gen(0) try: self(1) * zeta**(a+b) except TypeError: raise NotImplementedError('Kloosterman sums not implemented ' 'over this ring') n = zeta.multiplicative_order() zeta = zeta**(n // m) for c in m.coprime_integers(m): e = rings.Mod(c, m) g += self(c) * zeta**int(a*e + b*e**(-1)) return g def kloosterman_sum_numerical(self, prec=53, a=1, b=0): r""" Return the Kloosterman sum associated to this Dirichlet character as an approximate complex number with prec bits of precision. See also :meth:`.kloosterman_sum`, which calculates the sum exactly (which is generally slower). INPUT: - ``prec`` -- integer (default: 53), *bits* of precision - ``a`` -- integer, as for :meth:`.kloosterman_sum` - ``b`` -- integer, as for :meth:`.kloosterman_sum`. EXAMPLES:: sage: G = DirichletGroup(3) sage: e = G.0 The real component of the numerical value of e is near zero:: sage: v=e.kloosterman_sum_numerical() sage: v.real() < 1.0e15 True sage: v.imag() 1.73205080756888 sage: G = DirichletGroup(20) sage: e = G.1 sage: e.kloosterman_sum_numerical(53,3,11) 3.80422606518061 - 3.80422606518061*I """ G = self.parent() K = G.base_ring() if not (number_field.is_CyclotomicField(K) or is_RationalField(K)): raise NotImplementedError("Kloosterman sums only currently implemented when the base ring is a cyclotomic field or QQ.") phi = K.complex_embedding(prec) CC = phi.codomain() g = 0 m = G.modulus() zeta = CC.zeta(m) for c in m.coprime_integers(m): e = rings.Mod(c, m) z = zeta ** int(a*e + b*(e**(-1))) g += phi(self(c))*z return g def kernel(self): r""" Return the kernel of this character. OUTPUT: Currently the kernel is returned as a list. This may change. EXAMPLES:: sage: G.<a,b> = DirichletGroup(20) sage: a.kernel() [1, 9, 13, 17] sage: b.kernel() [1, 11] """ one = self.base_ring().one() return [x for x in range(self.modulus()) if self(x) == one] def maximize_base_ring(self): r""" Let .. MATH:: \varepsilon : (\ZZ/N\ZZ)^* \to \QQ(\zeta_n) be a Dirichlet character. This function returns an equal Dirichlet character .. MATH:: \chi : (\ZZ/N\ZZ)^* \to \QQ(\zeta_m) where `m` is the least common multiple of `n` and the exponent of `(\ZZ/N\ZZ)^*`. EXAMPLES:: sage: G.<a,b> = DirichletGroup(20,QQ) sage: b.maximize_base_ring() Dirichlet character modulo 20 of conductor 5 mapping 11 |--> 1, 17 |--> -1 sage: b.maximize_base_ring().base_ring() Cyclotomic Field of order 4 and degree 2 sage: DirichletGroup(20).base_ring() Cyclotomic Field of order 4 and degree 2 """ g = rings.IntegerModRing(self.modulus()).unit_group_exponent() if g == 1: g = 2 z = self.base_ring().zeta() n = z.multiplicative_order() m = lcm(g,n) if n == m: return self K = rings.CyclotomicField(m) return self.change_ring(K) def minimize_base_ring(self): r""" Return a Dirichlet character that equals this one, but over as small a subfield (or subring) of the base ring as possible. .. note:: This function is currently only implemented when the base ring is a number field. It's the identity function in characteristic p. EXAMPLES:: sage: G = DirichletGroup(13) sage: e = DirichletGroup(13).0 sage: e.base_ring() Cyclotomic Field of order 12 and degree 4 sage: e.minimize_base_ring().base_ring() Cyclotomic Field of order 12 and degree 4 sage: (e^2).minimize_base_ring().base_ring() Cyclotomic Field of order 6 and degree 2 sage: (e^3).minimize_base_ring().base_ring() Cyclotomic Field of order 4 and degree 2 sage: (e^12).minimize_base_ring().base_ring() Rational Field TESTS: Check that :trac:`18479` is fixed:: sage: f = Newforms(Gamma1(25), names='a')[1] sage: eps = f.character() sage: eps.minimize_base_ring() == eps True A related bug (see :trac:`18086`):: sage: K.<a,b>=NumberField([x^2 + 1, x^2 - 3]) sage: chi = DirichletGroup(7, K).0 sage: chi.minimize_base_ring() Dirichlet character modulo 7 of conductor 7 mapping 3 |--> -1/2*b*a + 1/2 """ R = self.base_ring() if R.is_prime_field(): return self p = R.characteristic() if p: K = rings.IntegerModRing(p) elif self.order() <= 2: K = rings.QQ elif (isinstance(R, number_field.NumberField_generic) and euler_phi(self.order()) < R.absolute_degree()): K = rings.CyclotomicField(self.order()) else: return self try: return self.change_ring(K) except (TypeError, ValueError, ArithmeticError): return self def modulus(self): """ The modulus of this character. EXAMPLES:: sage: e = DirichletGroup(100, QQ).0 sage: e.modulus() 100 sage: e.conductor() 4 """ return self.parent().modulus() def level(self): """ Synonym for modulus. EXAMPLES:: sage: e = DirichletGroup(100, QQ).0 sage: e.level() 100 """ return self.modulus() def primitive_character(self): """ Returns the primitive character associated to self. EXAMPLES:: sage: e = DirichletGroup(100).0; e Dirichlet character modulo 100 of conductor 4 mapping 51 |--> -1, 77 |--> 1 sage: e.conductor() 4 sage: f = e.primitive_character(); f Dirichlet character modulo 4 of conductor 4 mapping 3 |--> -1 sage: f.modulus() 4 """ return self.restrict(self.conductor()) def restrict(self, M): """ Returns the restriction of this character to a Dirichlet character modulo the divisor M of the modulus, which must also be a multiple of the conductor of this character. EXAMPLES:: sage: e = DirichletGroup(100).0 sage: e.modulus() 100 sage: e.conductor() 4 sage: e.restrict(20) Dirichlet character modulo 20 of conductor 4 mapping 11 |--> -1, 17 |--> 1 sage: e.restrict(4) Dirichlet character modulo 4 of conductor 4 mapping 3 |--> -1 sage: e.restrict(50) Traceback (most recent call last): ... ValueError: conductor(=4) must divide M(=50) """ M = int(M) if self.modulus()%M != 0: raise ValueError("M(=%s) must divide the modulus(=%s)"%(M,self.modulus())) if M%self.conductor() != 0: raise ValueError("conductor(=%s) must divide M(=%s)"%(self.conductor(),M)) H = DirichletGroup(M, self.base_ring()) return H(self) def __setstate__(self, state): r""" Restore a pickled element from ``state``. TESTS:: sage: e = DirichletGroup(16)([-1, 1]) sage: loads(dumps(e)) == e True """ # values_on_gens() used an explicit cache __values_on_gens in the past # we need to set the cache of values_on_gens() from that if we encounter it in a pickle values_on_gens_key = '_DirichletCharacter__values_on_gens' values_on_gens = None state_dict = state[1] if values_on_gens_key in state_dict: values_on_gens = state_dict[values_on_gens_key] del state_dict[values_on_gens_key] # element() used an explicit cache __element in the past # we need to set the cache of element() from that if we encounter it in a pickle element_key = '_DirichletCharacter__element' element = None if element_key in state_dict: element = state_dict[element_key] del state_dict[element_key] super(DirichletCharacter, self).__setstate__(state) if values_on_gens is not None: self.values_on_gens.set_cache(values_on_gens) if element is not None: self.element.set_cache(element) class DirichletGroupFactory(UniqueFactory): r""" Construct a group of Dirichlet characters modulo `N`. INPUT: - ``N`` -- positive integer - ``base_ring`` -- commutative ring; the value ring for the characters in this group (default: the cyclotomic field `\QQ(\zeta_n)`, where `n` is the exponent of `(\ZZ/N\ZZ)^*`) - ``zeta`` -- (optional) root of unity in ``base_ring`` - ``zeta_order`` -- (optional) positive integer; this must be the order of ``zeta`` if both are specified - ``names`` -- ignored (needed so ``G.<...> = DirichletGroup(...)`` notation works) - ``integral`` -- boolean (default: ``False``); whether to replace the default cyclotomic field by its rings of integers as the base ring. This is ignored if ``base_ring`` is not ``None``. OUTPUT: The group of Dirichlet characters modulo `N` with values in a subgroup `V` of the multiplicative group `R^*` of ``base_ring``. This is the group of homomorphisms `(\ZZ/N\ZZ)^* \to V` with pointwise multiplication. The group `V` is determined as follows: - If both ``zeta`` and ``zeta_order`` are omitted, then `V` is taken to be `R^*`, or equivalently its `n`-torsion subgroup, where `n` is the exponent of `(\ZZ/N\ZZ)^*`. Many operations, such as finding a set of generators for the group, are only implemented if `V` is cyclic and a generator for `V` can be found. - If ``zeta`` is specified, then `V` is taken to be the cyclic subgroup of `R^*` generated by ``zeta``. If ``zeta_order`` is also given, it must be the multiplicative order of ``zeta``; this is useful if the base ring is not exact or if the order of ``zeta`` is very large. - If ``zeta`` is not specified but ``zeta_order`` is, then `V` is taken to be the group of roots of unity of order dividing ``zeta_order`` in `R`. In this case, `R` must be a domain (so `V` is cyclic), and `V` must have order ``zeta_order``. Furthermore, a generator ``zeta`` of `V` is computed, and an error is raised if such ``zeta`` cannot be found. EXAMPLES: The default base ring is a cyclotomic field of order the exponent of `(\ZZ/N\ZZ)^*`:: sage: DirichletGroup(20) Group of Dirichlet characters modulo 20 with values in Cyclotomic Field of order 4 and degree 2 We create the group of Dirichlet character mod 20 with values in the rational numbers:: sage: G = DirichletGroup(20, QQ); G Group of Dirichlet characters modulo 20 with values in Rational Field sage: G.order() 4 sage: G.base_ring() Rational Field The elements of G print as lists giving the values of the character on the generators of `(Z/NZ)^*`:: sage: list(G) [Dirichlet character modulo 20 of conductor 1 mapping 11 |--> 1, 17 |--> 1, Dirichlet character modulo 20 of conductor 4 mapping 11 |--> -1, 17 |--> 1, Dirichlet character modulo 20 of conductor 5 mapping 11 |--> 1, 17 |--> -1, Dirichlet character modulo 20 of conductor 20 mapping 11 |--> -1, 17 |--> -1] Next we construct the group of Dirichlet character mod 20, but with values in `\QQ(\zeta_n)`:: sage: G = DirichletGroup(20) sage: G.1 Dirichlet character modulo 20 of conductor 5 mapping 11 |--> 1, 17 |--> zeta4 We next compute several invariants of ``G``:: sage: G.gens() (Dirichlet character modulo 20 of conductor 4 mapping 11 |--> -1, 17 |--> 1, Dirichlet character modulo 20 of conductor 5 mapping 11 |--> 1, 17 |--> zeta4) sage: G.unit_gens() (11, 17) sage: G.zeta() zeta4 sage: G.zeta_order() 4 In this example we create a Dirichlet group with values in a number field:: sage: R.<x> = PolynomialRing(QQ) sage: K.<a> = NumberField(x^4 + 1) sage: DirichletGroup(5, K) Group of Dirichlet characters modulo 5 with values in Number Field in a with defining polynomial x^4 + 1 An example where we give ``zeta``, but not its order:: sage: G = DirichletGroup(5, K, a); G Group of Dirichlet characters modulo 5 with values in the group of order 8 generated by a in Number Field in a with defining polynomial x^4 + 1 sage: G.list() [Dirichlet character modulo 5 of conductor 1 mapping 2 |--> 1, Dirichlet character modulo 5 of conductor 5 mapping 2 |--> a^2, Dirichlet character modulo 5 of conductor 5 mapping 2 |--> -1, Dirichlet character modulo 5 of conductor 5 mapping 2 |--> -a^2] We can also restrict the order of the characters, either with or without specifying a root of unity:: sage: DirichletGroup(5, K, zeta=-1, zeta_order=2) Group of Dirichlet characters modulo 5 with values in the group of order 2 generated by -1 in Number Field in a with defining polynomial x^4 + 1 sage: DirichletGroup(5, K, zeta_order=2) Group of Dirichlet characters modulo 5 with values in the group of order 2 generated by -1 in Number Field in a with defining polynomial x^4 + 1 :: sage: G.<e> = DirichletGroup(13) sage: loads(G.dumps()) == G True :: sage: G = DirichletGroup(19, GF(5)) sage: loads(G.dumps()) == G True We compute a Dirichlet group over a large prime field:: sage: p = next_prime(10^40) sage: g = DirichletGroup(19, GF(p)); g Group of Dirichlet characters modulo 19 with values in Finite Field of size 10000000000000000000000000000000000000121 Note that the root of unity has small order, i.e., it is not the largest order root of unity in the field:: sage: g.zeta_order() 2 :: sage: r4 = CyclotomicField(4).ring_of_integers() sage: G = DirichletGroup(60, r4) sage: G.gens() (Dirichlet character modulo 60 of conductor 4 mapping 31 |--> -1, 41 |--> 1, 37 |--> 1, Dirichlet character modulo 60 of conductor 3 mapping 31 |--> 1, 41 |--> -1, 37 |--> 1, Dirichlet character modulo 60 of conductor 5 mapping 31 |--> 1, 41 |--> 1, 37 |--> zeta4) sage: val = G.gens()[2].values_on_gens()[2] ; val zeta4 sage: parent(val) Gaussian Integers in Cyclotomic Field of order 4 and degree 2 sage: r4.residue_field(r4.ideal(29).factor()[0][0])(val) 17 sage: r4.residue_field(r4.ideal(29).factor()[0][0])(val) * GF(29)(3) 22 sage: r4.residue_field(r4.ideal(29).factor()[0][0])(G.gens()[2].values_on_gens()[2]) * 3 22 sage: parent(r4.residue_field(r4.ideal(29).factor()[0][0])(G.gens()[2].values_on_gens()[2]) * 3) Residue field of Fractional ideal (-2*zeta4 + 5) :: sage: DirichletGroup(60, integral=True) Group of Dirichlet characters modulo 60 with values in Gaussian Integers in Cyclotomic Field of order 4 and degree 2 sage: parent(DirichletGroup(60, integral=True).gens()[2].values_on_gens()[2]) Gaussian Integers in Cyclotomic Field of order 4 and degree 2 If the order of ``zeta`` cannot be determined automatically, we can specify it using ``zeta_order``:: sage: DirichletGroup(7, CC, zeta=exp(2*pi*I/6)) Traceback (most recent call last): ... NotImplementedError: order of element not known sage: DirichletGroup(7, CC, zeta=exp(2*pi*I/6), zeta_order=6) Group of Dirichlet characters modulo 7 with values in the group of order 6 generated by 0.500000000000000 + 0.866025403784439*I in Complex Field with 53 bits of precision If the base ring is not a domain (in which case the group of roots of unity is not necessarily cyclic), some operations still work, such as creation of elements:: sage: G = DirichletGroup(5, Zmod(15)); G Group of Dirichlet characters modulo 5 with values in Ring of integers modulo 15 sage: chi = G([13]); chi Dirichlet character modulo 5 of conductor 5 mapping 2 |--> 13 sage: chi^2 Dirichlet character modulo 5 of conductor 5 mapping 2 |--> 4 sage: chi.multiplicative_order() 4 Other operations only work if ``zeta`` is specified:: sage: G.gens() Traceback (most recent call last): ... NotImplementedError: factorization of polynomials over rings with composite characteristic is not implemented sage: G = DirichletGroup(5, Zmod(15), zeta=2); G Group of Dirichlet characters modulo 5 with values in the group of order 4 generated by 2 in Ring of integers modulo 15 sage: G.gens() (Dirichlet character modulo 5 of conductor 5 mapping 2 |--> 2,) TESTS: Dirichlet groups are cached, creating two groups with the same parameters yields the same object:: sage: DirichletGroup(60) is DirichletGroup(60) True """ def create_key(self, N, base_ring=None, zeta=None, zeta_order=None, names=None, integral=False): """ Create a key that uniquely determines a Dirichlet group. TESTS:: sage: DirichletGroup.create_key(60) (Cyclotomic Field of order 4 and degree 2, 60, None, None) An example to illustrate that ``base_ring`` is a part of the key:: sage: k = DirichletGroup.create_key(2, base_ring=QQ); k (Rational Field, 2, None, None) sage: l = DirichletGroup.create_key(2, base_ring=CC); l (Complex Field with 53 bits of precision, 2, None, None) sage: k == l False sage: G = DirichletGroup.create_object(None, k); G Group of Dirichlet characters modulo 2 with values in Rational Field sage: H = DirichletGroup.create_object(None, l); H Group of Dirichlet characters modulo 2 with values in Complex Field with 53 bits of precision sage: G == H False If ``base_ring`` was not be a part of the key, the keys would compare equal and the caching would be broken:: sage: k = k[1:]; k (2, None, None) sage: l = l[1:]; l (2, None, None) sage: k == l True sage: DirichletGroup(2, base_ring=QQ) is DirichletGroup(2, base_ring=CC) False If the base ring is not an integral domain, an error will be raised if only ``zeta_order`` is specified:: sage: DirichletGroup(17, Integers(15)) Group of Dirichlet characters modulo 17 with values in Ring of integers modulo 15 sage: DirichletGroup(17, Integers(15), zeta_order=4) Traceback (most recent call last): ... ValueError: base ring (= Ring of integers modulo 15) must be an integral domain if only zeta_order is specified sage: G = DirichletGroup(17, Integers(15), zeta=7); G Group of Dirichlet characters modulo 17 with values in the group of order 4 generated by 7 in Ring of integers modulo 15 sage: G.order() 4 sage: DirichletGroup(-33) Traceback (most recent call last): ... ValueError: modulus should be positive """ modulus = rings.Integer(N) if modulus <= 0: raise ValueError('modulus should be positive') if base_ring is None: if not (zeta is None and zeta_order is None): raise ValueError("zeta and zeta_order must be None if base_ring not specified") e = rings.IntegerModRing(modulus).unit_group_exponent() base_ring = rings.CyclotomicField(e) if integral: base_ring = base_ring.ring_of_integers() if not is_Ring(base_ring): raise TypeError("base_ring (= %s) must be a ring" % base_ring) # If either zeta or zeta_order is given, compute the other. if zeta is not None: zeta = base_ring(zeta) if zeta_order is None: zeta_order = zeta.multiplicative_order() elif zeta_order is not None: if not base_ring.is_integral_domain(): raise ValueError("base ring (= %s) must be an integral domain if only zeta_order is specified" % base_ring) zeta_order = rings.Integer(zeta_order) zeta = base_ring.zeta(zeta_order) return (base_ring, modulus, zeta, zeta_order) def create_object(self, version, key, **extra_args): """ Create the object from the key (extra arguments are ignored). This is only called if the object was not found in the cache. TESTS:: sage: K = CyclotomicField(4) sage: DirichletGroup.create_object(None, (K, 60, K.gen(), 4)) Group of Dirichlet characters modulo 60 with values in the group of order 4 generated by zeta4 in Cyclotomic Field of order 4 and degree 2 """ base_ring, modulus, zeta, zeta_order = key return DirichletGroup_class(base_ring, modulus, zeta, zeta_order) DirichletGroup = DirichletGroupFactory("DirichletGroup") def is_DirichletGroup(x): """ Returns True if x is a Dirichlet group. EXAMPLES:: sage: from sage.modular.dirichlet import is_DirichletGroup sage: is_DirichletGroup(DirichletGroup(11)) True sage: is_DirichletGroup(11) False sage: is_DirichletGroup(DirichletGroup(11).0) False """ return isinstance(x, DirichletGroup_class) def base_extend(self, R): """ Return the base extension of ``self`` to ``R``. INPUT: - ``R`` -- either a ring admitting a *coercion* map from the base ring of ``self``, or a ring homomorphism with the base ring of ``self`` as its domain EXAMPLES:: sage: G = DirichletGroup(7,QQ); G Group of Dirichlet characters modulo 7 with values in Rational Field sage: H = G.base_extend(CyclotomicField(6)); H Group of Dirichlet characters modulo 7 with values in Cyclotomic Field of order 6 and degree 2 Note that the root of unity can change:: sage: H.zeta() zeta6 This method (in contrast to :meth:`change_ring`) requires a coercion map to exist:: sage: G.base_extend(ZZ) Traceback (most recent call last): ... TypeError: no coercion map from Rational Field to Integer Ring is defined Base-extended Dirichlet groups do not silently get roots of unity with smaller order than expected (:trac:`6018`):: sage: G = DirichletGroup(10, QQ).base_extend(CyclotomicField(4)) sage: H = DirichletGroup(10, CyclotomicField(4)) sage: G is H True sage: G3 = DirichletGroup(31, CyclotomicField(3)) sage: G5 = DirichletGroup(31, CyclotomicField(5)) sage: K30 = CyclotomicField(30) sage: G3.gen(0).base_extend(K30) * G5.gen(0).base_extend(K30) Dirichlet character modulo 31 of conductor 31 mapping 3 |--> -zeta30^7 + zeta30^5 + zeta30^4 + zeta30^3 - zeta30 - 1 When a root of unity is specified, base extension still works if the new base ring is not an integral domain:: sage: f = DirichletGroup(17, ZZ, zeta=-1).0 sage: g = f.base_extend(Integers(15)) sage: g(3) 14 sage: g.parent().zeta() 14 """ if not (isinstance(R, Map) or R.has_coerce_map_from(self.base_ring())): raise TypeError("no coercion map from %s to %s is defined" % (self.base_ring(), R)) return self.change_ring(R) def _element_constructor_(self, x): """ Construct a Dirichlet character from `x`. EXAMPLES:: sage: G = DirichletGroup(13) sage: K = G.base_ring() sage: G(1) Dirichlet character modulo 13 of conductor 1 mapping 2 |--> 1 sage: G([-1]) Dirichlet character modulo 13 of conductor 13 mapping 2 |--> -1 sage: G([K.0]) Dirichlet character modulo 13 of conductor 13 mapping 2 |--> zeta12 sage: G(0) Traceback (most recent call last): ... TypeError: cannot convert 0 to an element of Group of Dirichlet characters modulo 13 with values in Cyclotomic Field of order 12 and degree 4 sage: G = DirichletGroup(6) sage: G(DirichletGroup(3).0) Dirichlet character modulo 6 of conductor 3 mapping 5 |--> -1 sage: G(DirichletGroup(15).0) Dirichlet character modulo 6 of conductor 3 mapping 5 |--> -1 sage: G(DirichletGroup(15).1) Traceback (most recent call last): ... TypeError: conductor must divide modulus sage: H = DirichletGroup(16, QQ); H(DirichletGroup(16).1) Traceback (most recent call last): ... TypeError: Unable to coerce zeta4 to a rational """ R = self.base_ring() try: if x == R.one(): x = [R.one()] * len(self.unit_gens()) except (TypeError, ValueError, ArithmeticError): pass if isinstance(x, list): # list of values on each unit generator return self.element_class(self, x) elif not isinstance(x, DirichletCharacter): raise TypeError("cannot convert %s to an element of %s" % (x, self)) elif not x.conductor().divides(self.modulus()): raise TypeError("conductor must divide modulus") a = [] for u in self.unit_gens(): v = u.lift() # have to do this, since e.g., unit gens mod 11 are not units mod 22. while x.modulus().gcd(v) != 1: v += self.modulus() a.append(R(x(v))) return self.element_class(self, a) def _coerce_map_from_(self, X): """ Decide whether there is a coercion map from `X`. There is conversion between Dirichlet groups of different moduli, but no coercion. This implies that Dirichlet characters of different moduli do not compare as equal. TESTS:: sage: trivial_character(6) == trivial_character(3) # indirect doctest False sage: trivial_character(3) == trivial_character(9) False sage: trivial_character(3) == DirichletGroup(3, QQ).0^2 True """ return (isinstance(X, DirichletGroup_class) and self.modulus() == X.modulus() and self.base_ring().has_coerce_map_from(X.base_ring()) and (self._zeta is None or (X._zeta is not None and self.base_ring()(X._zeta) in self._zeta_powers))) def __len__(self): """ Return the number of elements of this Dirichlet group. This is the same as self.order(). EXAMPLES:: sage: len(DirichletGroup(20)) 8 sage: len(DirichletGroup(20, QQ)) 4 sage: len(DirichletGroup(20, GF(5))) 8 sage: len(DirichletGroup(20, GF(2))) 1 sage: len(DirichletGroup(20, GF(3))) 4 """ return self.order() def _repr_(self): """ Return a print representation of this group, which can be renamed. EXAMPLES:: sage: G = DirichletGroup(11) sage: repr(G) # indirect doctest 'Group of Dirichlet characters modulo 11 with values in Cyclotomic Field of order 10 and degree 4' sage: G.rename('Dir(11)') sage: G Dir(11) """ s = "Group of Dirichlet characters modulo %s with values in " % self.modulus() if self._zeta is not None: s += "the group of order %s generated by %s in " % (self._zeta_order, self._zeta) s += str(self.base_ring()) return s def exponent(self): """ Return the exponent of this group. EXAMPLES:: sage: DirichletGroup(20).exponent() 4 sage: DirichletGroup(20,GF(3)).exponent() 2 sage: DirichletGroup(20,GF(2)).exponent() 1 sage: DirichletGroup(37).exponent() 36 """ return self.zeta_order() def galois_orbits(self, v=None, reps_only=False, sort=True, check=True): """ Return a list of the Galois orbits of Dirichlet characters in self, or in v if v is not None. INPUT: - ``v`` - (optional) list of elements of self - ``reps_only`` - (optional: default False) if True only returns representatives for the orbits. - ``sort`` - (optional: default True) whether to sort the list of orbits and the orbits themselves (slightly faster if False). - ``check`` - (optional, default: True) whether or not to explicitly coerce each element of v into self. The Galois group is the absolute Galois group of the prime subfield of Frac(R). If R is not a domain, an error will be raised. EXAMPLES:: sage: DirichletGroup(20).galois_orbits() [ [Dirichlet character modulo 20 of conductor 20 mapping 11 |--> -1, 17 |--> -1], ..., [Dirichlet character modulo 20 of conductor 1 mapping 11 |--> 1, 17 |--> 1] ] sage: DirichletGroup(17, Integers(6), zeta=Integers(6)(5)).galois_orbits() Traceback (most recent call last): ... TypeError: Galois orbits only defined if base ring is an integral domain sage: DirichletGroup(17, Integers(9), zeta=Integers(9)(2)).galois_orbits() Traceback (most recent call last): ... TypeError: Galois orbits only defined if base ring is an integral domain """ if v is None: v = self.list() else: if check: v = [self(x) for x in v] G = [] seen_so_far = set([]) for x in v: z = x.element() e = tuple(z) # change when there are immutable vectors (and below) if e in seen_so_far: continue orbit = x.galois_orbit(sort=sort) if reps_only: G.append(x) else: G.append(orbit) for z in orbit: seen_so_far.add(tuple(z.element())) G = Sequence(G, cr=True) if sort: G.sort() return G def gen(self, n=0): """ Return the n-th generator of self. EXAMPLES:: sage: G = DirichletGroup(20) sage: G.gen(0) Dirichlet character modulo 20 of conductor 4 mapping 11 |--> -1, 17 |--> 1 sage: G.gen(1) Dirichlet character modulo 20 of conductor 5 mapping 11 |--> 1, 17 |--> zeta4 sage: G.gen(2) Traceback (most recent call last): ... IndexError: n(=2) must be between 0 and 1 :: sage: G.gen(-1) Traceback (most recent call last): ... IndexError: n(=-1) must be between 0 and 1 """ n = int(n) g = self.gens() if n<0 or n>=len(g): raise IndexError("n(=%s) must be between 0 and %s"%(n,len(g)-1)) return g[n] def integers_mod(self): r""" Returns the group of integers `\ZZ/N\ZZ` where `N` is the modulus of self. EXAMPLES:: sage: G = DirichletGroup(20) sage: G.integers_mod() Ring of integers modulo 20 """ return self._integers __iter__ = multiplicative_iterator def list(self): """ Return a list of the Dirichlet characters in this group. EXAMPLES:: sage: DirichletGroup(5).list() [Dirichlet character modulo 5 of conductor 1 mapping 2 |--> 1, Dirichlet character modulo 5 of conductor 5 mapping 2 |--> zeta4, Dirichlet character modulo 5 of conductor 5 mapping 2 |--> -1, Dirichlet character modulo 5 of conductor 5 mapping 2 |--> -zeta4] """ return self._list_from_iterator() def modulus(self): """ Returns the modulus of self. EXAMPLES:: sage: G = DirichletGroup(20) sage: G.modulus() 20 """ return self._modulus def ngens(self): """ Returns the number of generators of self. EXAMPLES:: sage: G = DirichletGroup(20) sage: G.ngens() 2 """ return len(self.gens()) def random_element(self): """ Return a random element of self. The element is computed by multiplying a random power of each generator together, where the power is between 0 and the order of the generator minus 1, inclusive. EXAMPLES:: sage: DirichletGroup(37).random_element() Dirichlet character modulo 37 of conductor 37 mapping 2 |--> zeta36^4 sage: DirichletGroup(20).random_element() Dirichlet character modulo 20 of conductor 4 mapping 11 |--> -1, 17 |--> 1 sage: DirichletGroup(60).random_element() Dirichlet character modulo 60 of conductor 3 mapping 31 |--> 1, 41 |--> -1, 37 |--> 1 """ e = self(1) for i in range(self.ngens()): g = self.gen(i) n = random.randrange(g.order()) e *= g**n return e def unit_gens(self): r""" Returns the minimal generators for the units of `(\ZZ/N\ZZ)^*`, where `N` is the modulus of self. EXAMPLES:: sage: DirichletGroup(37).unit_gens() (2,) sage: DirichletGroup(20).unit_gens() (11, 17) sage: DirichletGroup(60).unit_gens() (31, 41, 37) sage: DirichletGroup(20,QQ).unit_gens() (11, 17) """ return self._integers.unit_gens()
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# This source code is part of the Biotite package and is distributed # under the 3-Clause BSD License. Please see 'LICENSE.rst' for further # information. __name__ = "biotite" __author__ = "Patrick Kunzmann" __all__ = ["File", "TextFile", "InvalidFileError"] import abc import io import warnings from .copyable import Copyable import copy def __copy_fill__(self, clone): super().__copy_fill__(clone) clone.lines = copy.copy(self.lines) def __str__(self): return("\n".join(self.lines)) class InvalidFileError(Exception): """ Indicates that the file is not suitable for the requested action, either because the file does not contain the required data or because the file is malformed. """ pass def wrap_string(text, width): """ A much simpler and hence much more efficient version of `textwrap.wrap()`. This function simply wraps the given `text` after `width` characters, ignoring sentences, whitespaces, etc. """ lines = [] for i in range(0, len(text), width): lines.append(text[i : i+width]) return lines def is_binary(file): if isinstance(file, io.BufferedIOBase): return True # for file wrappers, e.g. 'TemporaryFile' elif hasattr(file, "file") and isinstance(file.file, io.BufferedIOBase): return True else: return False def is_text(file): if isinstance(file, io.TextIOBase): return True # for file wrappers, e.g. 'TemporaryFile' elif hasattr(file, "file") and isinstance(file.file, io.TextIOBase): return True else: return False
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""" Module for sending Push Notifications """ import logging import requests from django.conf import settings from ...models import PushNotificationTranslation from ...models import Region from ...constants import push_notifications as pnt_const logger = logging.getLogger(__name__) # pylint: disable=too-few-public-methods
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3.696629
89
#coding:utf-8 # # id: functional.index.create.03 # title: CREATE ASC INDEX # decription: CREATE ASC INDEX # # Dependencies: # CREATE DATABASE # CREATE TABLE # SHOW INDEX # tracker_id: # min_versions: [] # versions: 1.0 # qmid: functional.index.create.create_index_03 import pytest from firebird.qa import db_factory, isql_act, Action # version: 1.0 # resources: None substitutions_1 = [] init_script_1 = """CREATE TABLE t( a INTEGER); commit;""" db_1 = db_factory(sql_dialect=3, init=init_script_1) test_script_1 = """CREATE ASC INDEX test ON t(a); SHOW INDEX test;""" act_1 = isql_act('db_1', test_script_1, substitutions=substitutions_1) expected_stdout_1 = """TEST INDEX ON T(A)"""
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2.102632
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""" Page object file """
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4.166667
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# Copyright 2019 Xilinx 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. from __future__ import print_function, absolute_import import glob import re from os import path as osp from .market1501 import Market1501 __factory = { 'market1501': Market1501 }
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{ "cells": [ { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [], "source": [ "# Import libraries\n", "import os, csv" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [], "source": [ "#variables for the script\n", "months = [] #list of months\n", "pl =[] #list of monthly PL\n", "pl_changes = [] #list of P&L Changes\n", "n_months = 0 #count of months\n", "pl_total = 0 #total of P&L\n", "plc = 0 #variable to track PL changes\n", "avg_pl_change = 0 #average of changes in PL\n", "maxpl = 0 #maximum increase in profits\n", "minpl = 0 #maximum decrease in losses\n", "max_i = 0 #index for max pl\n", "min_i = 0 #index for min pl\n", "\n", "#read the resource file\n", "bankcsv = os.path.join(\".\", \"Resources\", \"budget_data.csv\") #set path\n", "\n", "\n", "#read file\n", "with open(bankcsv, 'r') as csv_file:\n", " csv_reader = csv.reader(csv_file,delimiter=\",\")\n", " header = next(csv_reader)\n", " \n", " #for loop to update the counters and lists\n", " for row in csv_reader:\n", " n_months += 1\n", " pl_total += int(row[1])\n", " pl.append(row[1])\n", " months.append(row[0])" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [], "source": [ "# loop to track the PL change values\n", "pl_changes = [] \n", "plc = int(pl[0])\n", "for i in range(1, len(pl)):\n", " pl_changes.append(int(pl[i]) - plc)\n", " plc = int(pl[i])\n", " i += 1\n", "#print(pl_changes)" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [], "source": [ "#calculate the average PL Changes, max and min\n", "avg_pl_change = sum(pl_changes) / len(pl_changes)\n", "maxpl = max(pl_changes)\n", "minpl = min(pl_changes)\n", "#print(avg_pl_change, maxpl, minpl)\n", "#print(pl_changes.index(maxpl))\n", "#print(len(pl_changes))" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Financial Analysis\n", "---------------------------------------------------------------------\n", "Total Months: 86\n", "Total: $38382578\n", "Average Change: $-2315.12\n", "Greatest Increase in Profits: Feb-2012 ($1926159)\n", "Greatest Decrease in Profits: Sep-2013 ($-2196167)\n" ] } ], "source": [ "#find dates for max and min PL changes\n", "max_i = pl_changes.index(maxpl) +1 #adding +1 since the changes are calculated one row above\n", "min_i = pl_changes.index(minpl) +1\n", "\n", "maxmonth = months[max_i]\n", "minmonth = months[min_i]\n", "\n", "#print output to the terminal\n", "\n", "print(\"Financial Analysis\")\n", "print(\"-\"*69)\n", "print(f\"Total Months: {n_months}\")\n", "print(f\"Total: ${round(pl_total,2)}\")\n", "print(f\"Average Change: ${round(avg_pl_change,2)}\")\n", "print(f\"Greatest Increase in Profits: {maxmonth} (${maxpl})\")\n", "print(f\"Greatest Decrease in Profits: {minmonth} (${minpl})\")\n" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [], "source": [ "# write summary to txt file\n", "output = os.path.join(\".\",\"Analysis\", \"summary.txt\")\n", "\n", "# use \"\\n\" to create a new line\n", "with open(output, 'w') as output:\n", " output.write(\"Financial Analysis\\n\")\n", " output.write(\"-\"*69 + \"\\n\")\n", " output.write(f\"Total Months: {n_months}\\n\")\n", " output.write(f\"Total: ${round(pl_total,2)}\\n\")\n", " output.write(f\"Average Change: ${round(avg_pl_change,2)}\\n\")\n", " output.write(f\"Greatest Increase in Profits: {maxmonth} (${maxpl})\\n\")\n", " output.write(f\"Greatest Decrease in Profits: {minmonth} (${minpl})\\n\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }
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77, 59, 4943, 59, 77, 1600, 198, 220, 220, 220, 366, 220, 220, 220, 5072, 13, 13564, 7, 69, 7879, 13681, 395, 25285, 287, 4415, 896, 25, 1391, 9806, 8424, 92, 220, 7198, 90, 9806, 489, 30072, 6852, 77, 59, 4943, 59, 77, 1600, 198, 220, 220, 220, 366, 220, 220, 220, 5072, 13, 13564, 7, 69, 7879, 13681, 395, 36400, 589, 287, 4415, 896, 25, 1391, 1084, 8424, 92, 7198, 90, 1084, 489, 30072, 6852, 77, 59, 4943, 1, 198, 220, 220, 2361, 198, 220, 1782, 198, 16589, 198, 366, 38993, 1298, 1391, 198, 220, 366, 74, 44930, 43106, 1298, 1391, 198, 220, 220, 366, 13812, 62, 3672, 1298, 366, 37906, 513, 1600, 198, 220, 220, 366, 16129, 1298, 366, 29412, 1600, 198, 220, 220, 366, 3672, 1298, 366, 29412, 18, 1, 198, 220, 8964, 198, 220, 366, 16129, 62, 10951, 1298, 1391, 198, 220, 220, 366, 19815, 368, 343, 1472, 62, 14171, 1298, 1391, 198, 220, 220, 220, 366, 3672, 1298, 366, 541, 7535, 1600, 198, 220, 220, 220, 366, 9641, 1298, 513, 198, 220, 220, 8964, 198, 220, 220, 366, 7753, 62, 2302, 3004, 1298, 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2.127157
2,202
from ctypes import POINTER, Structure from ..wintypes import VARIANT, dll_import
[ 6738, 269, 19199, 1330, 19922, 41358, 11, 32522, 198, 198, 6738, 11485, 86, 600, 9497, 1330, 569, 33604, 8643, 11, 288, 297, 62, 11748, 628 ]
3.32
25
# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------------------------- # Generated file, DO NOT EDIT # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------------------------- from .models import Consumer from .models import ConsumerAction from .models import Event from .models import EventTypeDescriptor from .models import ExternalConfigurationDescriptor from .models import FormattedEventMessage from .models import IdentityRef from .models import InputDescriptor from .models import InputFilter from .models import InputFilterCondition from .models import InputValidation from .models import InputValue from .models import InputValues from .models import InputValuesError from .models import InputValuesQuery from .models import Notification from .models import NotificationDetails from .models import NotificationResultsSummaryDetail from .models import NotificationsQuery from .models import NotificationSummary from .models import Publisher from .models import PublisherEvent from .models import PublishersQuery from .models import ReferenceLinks from .models import ResourceContainer from .models import SessionToken from .models import Subscription from .models import SubscriptionsQuery from .models import VersionedResource __all__ = [ 'Consumer', 'ConsumerAction', 'Event', 'EventTypeDescriptor', 'ExternalConfigurationDescriptor', 'FormattedEventMessage', 'IdentityRef', 'InputDescriptor', 'InputFilter', 'InputFilterCondition', 'InputValidation', 'InputValue', 'InputValues', 'InputValuesError', 'InputValuesQuery', 'Notification', 'NotificationDetails', 'NotificationResultsSummaryDetail', 'NotificationsQuery', 'NotificationSummary', 'Publisher', 'PublisherEvent', 'PublishersQuery', 'ReferenceLinks', 'ResourceContainer', 'SessionToken', 'Subscription', 'SubscriptionsQuery', 'VersionedResource', ]
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4.130357
560
import datetime as date from pzd_utils import datetime_to_str
[ 11748, 4818, 8079, 355, 3128, 198, 6738, 279, 89, 67, 62, 26791, 1330, 4818, 8079, 62, 1462, 62, 2536, 198, 220, 220, 220, 220, 220, 220, 220, 220 ]
2.5
28
import numpy as np from defdap.quat import Quat hex_syms = Quat.symEqv("hexagonal") # subset of hexagonal symmetries that give unique orientations when the # Burgers transformation is applied unq_hex_syms = [ hex_syms[0], hex_syms[5], hex_syms[4], hex_syms[2], hex_syms[10], hex_syms[11] ] cubic_syms = Quat.symEqv("cubic") # subset of cubic symmetries that give unique orientations when the # Burgers transformation is applied unq_cub_syms = [ cubic_syms[0], cubic_syms[7], cubic_syms[9], cubic_syms[1], cubic_syms[22], cubic_syms[16], cubic_syms[12], cubic_syms[15], cubic_syms[4], cubic_syms[8], cubic_syms[21], cubic_syms[20] ] # HCP -> BCC burg_eulers = np.array([135, 90, 354.74]) * np.pi / 180 burg_trans = Quat.fromEulerAngles(*burg_eulers).conjugate
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2.212202
377
print('222')
[ 4798, 10786, 23148, 11537, 198 ]
2.6
5
from flask import jsonify, Blueprint, request, json, make_response from werkzeug.security import generate_password_hash, check_password_hash from datetime import datetime from ..utils.validators import Validation from ..models.auth_models import Users v1_auth_blueprint = Blueprint('auth', __name__, url_prefix='/api/v1') USER = Users() VALIDATOR = Validation()
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3.462264
106
# -*- coding: utf-8 -*- from __future__ import division, unicode_literals, print_function, absolute_import from pint.util import (UnitsContainer) from pint.converters import (ScaleConverter, OffsetConverter) from pint.definitions import (Definition, PrefixDefinition, UnitDefinition, DimensionDefinition, AliasDefinition) from pint.testsuite import BaseTestCase
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2.947761
134
#!/usr/bin/env python # # Electrum - lightweight Bitcoin client # Copyright (C) 2015 Thomas Voegtlin # # 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. # Check DNSSEC trust chain. # Todo: verify expiration dates # # Based on # http://backreference.org/2010/11/17/dnssec-verification-with-dig/ # https://github.com/rthalley/dnspython/blob/master/tests/test_dnssec.py import dns import dns.name import dns.query import dns.dnssec import dns.message import dns.resolver import dns.rdatatype import dns.rdtypes.ANY.NS import dns.rdtypes.ANY.CNAME import dns.rdtypes.ANY.DLV import dns.rdtypes.ANY.DNSKEY import dns.rdtypes.ANY.DS import dns.rdtypes.ANY.NSEC import dns.rdtypes.ANY.NSEC3 import dns.rdtypes.ANY.NSEC3PARAM import dns.rdtypes.ANY.RRSIG import dns.rdtypes.ANY.SOA import dns.rdtypes.ANY.TXT import dns.rdtypes.IN.A import dns.rdtypes.IN.AAAA from .logging import get_logger _logger = get_logger(__name__) # hard-coded trust anchors (root KSKs) trust_anchors = [ # KSK-2017: dns.rrset.from_text('.', 1 , 'IN', 'DNSKEY', '257 3 8 AwEAAaz/tAm8yTn4Mfeh5eyI96WSVexTBAvkMgJzkKTOiW1vkIbzxeF3+/4RgWOq7HrxRixHlFlExOLAJr5emLvN7SWXgnLh4+B5xQlNVz8Og8kvArMtNROxVQuCaSnIDdD5LKyWbRd2n9WGe2R8PzgCmr3EgVLrjyBxWezF0jLHwVN8efS3rCj/EWgvIWgb9tarpVUDK/b58Da+sqqls3eNbuv7pr+eoZG+SrDK6nWeL3c6H5Apxz7LjVc1uTIdsIXxuOLYA4/ilBmSVIzuDWfdRUfhHdY6+cn8HFRm+2hM8AnXGXws9555KrUB5qihylGa8subX2Nn6UwNR1AkUTV74bU='), # KSK-2010: dns.rrset.from_text('.', 15202, 'IN', 'DNSKEY', '257 3 8 AwEAAagAIKlVZrpC6Ia7gEzahOR+9W29euxhJhVVLOyQbSEW0O8gcCjF FVQUTf6v58fLjwBd0YI0EzrAcQqBGCzh/RStIoO8g0NfnfL2MTJRkxoX bfDaUeVPQuYEhg37NZWAJQ9VnMVDxP/VHL496M/QZxkjf5/Efucp2gaD X6RS6CXpoY68LsvPVjR0ZSwzz1apAzvN9dlzEheX7ICJBBtuA6G3LQpz W5hOA2hzCTMjJPJ8LbqF6dsV6DoBQzgul0sGIcGOYl7OyQdXfZ57relS Qageu+ipAdTTJ25AsRTAoub8ONGcLmqrAmRLKBP1dfwhYB4N7knNnulq QxA+Uk1ihz0='), ]
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39, 75, 7414, 3109, 3535, 32, 50123, 20, 368, 29507, 45, 22, 17887, 55, 4593, 43, 71, 19, 10, 33, 20, 87, 48, 75, 27159, 89, 23, 46, 70, 23, 74, 85, 3163, 44, 83, 45, 13252, 87, 53, 4507, 24334, 16501, 2389, 67, 35, 20, 43, 30630, 54, 65, 49, 67, 17, 77, 24, 54, 10082, 17, 49, 23, 47, 89, 70, 34, 43395, 18, 36, 70, 47468, 81, 73, 88, 33, 87, 1135, 89, 37, 15, 73, 43, 39, 86, 53, 45, 23, 891, 50, 18, 81, 34, 73, 14, 6217, 70, 85, 40, 54, 22296, 24, 83, 5117, 53, 8322, 42, 14, 65, 3365, 26531, 10, 31166, 80, 7278, 18, 68, 45, 11110, 85, 22, 1050, 10, 68, 78, 57, 38, 10, 50, 81, 48510, 21, 77, 1135, 43, 18, 66, 21, 39, 20, 32, 8416, 89, 22, 43, 73, 53, 66, 16, 84, 51, 7390, 82, 10426, 87, 84, 3535, 44947, 19, 14, 346, 33, 76, 50, 12861, 27624, 42955, 16344, 49, 52, 69, 71, 39, 67, 56, 21, 10, 31522, 23, 39, 10913, 76, 10, 17, 71, 44, 23, 2025, 55, 38, 55, 18504, 24, 31046, 42, 81, 10526, 20, 80, 4449, 2645, 35389, 23, 7266, 55, 17, 45, 77, 21, 52, 86, 24723, 16, 33901, 3843, 53, 4524, 65, 52, 11639, 828, 198, 220, 220, 220, 1303, 509, 18831, 12, 10333, 25, 198, 220, 220, 220, 288, 5907, 13, 21062, 2617, 13, 6738, 62, 5239, 10786, 2637, 11, 1315, 19004, 11, 705, 1268, 3256, 705, 35, 8035, 20373, 3256, 705, 28676, 513, 807, 5851, 36, 3838, 363, 32, 18694, 75, 53, 57, 81, 79, 34, 21, 40, 64, 22, 70, 36, 89, 993, 1581, 10, 24, 54, 1959, 68, 2821, 71, 41, 71, 53, 53, 21982, 88, 48, 65, 5188, 54, 15, 46, 23, 36484, 34, 73, 37, 376, 53, 48, 3843, 69, 21, 85, 3365, 69, 43, 73, 86, 33, 67, 15, 56, 40, 15, 36, 89, 81, 12832, 48, 80, 33, 15916, 23548, 14, 49, 1273, 40, 78, 46, 23, 70, 15, 45, 22184, 69, 43, 17, 13752, 44817, 74, 87, 78, 55, 275, 69, 26531, 52, 68, 8859, 4507, 56, 43894, 70, 2718, 37371, 15543, 41, 48, 24, 53, 77, 44, 8898, 87, 47, 14, 53, 6581, 37747, 44, 14, 48, 57, 87, 42421, 69, 20, 14, 36, 69, 1229, 79, 17, 4908, 35, 1395, 21, 6998, 21, 34, 55, 7501, 56, 3104, 43, 21370, 47, 53, 73, 49, 15, 57, 10462, 3019, 16, 499, 26903, 85, 45, 24, 25404, 89, 36, 258, 55, 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2.248428
1,272
########################################################################## # # Copyright 2012 Jose Fonseca # All Rights Reserved. # # 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 dxgi import * from d3dcommon import * from d3d11sdklayers import * HRESULT = MAKE_HRESULT([ "D3D11_ERROR_FILE_NOT_FOUND", "D3D11_ERROR_TOO_MANY_UNIQUE_STATE_OBJECTS", "D3D11_ERROR_TOO_MANY_UNIQUE_VIEW_OBJECTS", "D3D11_ERROR_DEFERRED_CONTEXT_MAP_WITHOUT_INITIAL_DISCARD", "D3DERR_INVALIDCALL", "D3DERR_WASSTILLDRAWING", ]) ID3D11DepthStencilState = Interface("ID3D11DepthStencilState", ID3D11DeviceChild) ID3D11BlendState = Interface("ID3D11BlendState", ID3D11DeviceChild) ID3D11RasterizerState = Interface("ID3D11RasterizerState", ID3D11DeviceChild) ID3D11Resource = Interface("ID3D11Resource", ID3D11DeviceChild) ID3D11Buffer = Interface("ID3D11Buffer", ID3D11Resource) ID3D11Texture1D = Interface("ID3D11Texture1D", ID3D11Resource) ID3D11Texture2D = Interface("ID3D11Texture2D", ID3D11Resource) ID3D11Texture3D = Interface("ID3D11Texture3D", ID3D11Resource) ID3D11View = Interface("ID3D11View", ID3D11DeviceChild) ID3D11ShaderResourceView = Interface("ID3D11ShaderResourceView", ID3D11View) ID3D11RenderTargetView = Interface("ID3D11RenderTargetView", ID3D11View) ID3D11DepthStencilView = Interface("ID3D11DepthStencilView", ID3D11View) ID3D11UnorderedAccessView = Interface("ID3D11UnorderedAccessView", ID3D11View) ID3D11VertexShader = Interface("ID3D11VertexShader", ID3D11DeviceChild) ID3D11HullShader = Interface("ID3D11HullShader", ID3D11DeviceChild) ID3D11DomainShader = Interface("ID3D11DomainShader", ID3D11DeviceChild) ID3D11GeometryShader = Interface("ID3D11GeometryShader", ID3D11DeviceChild) ID3D11PixelShader = Interface("ID3D11PixelShader", ID3D11DeviceChild) ID3D11ComputeShader = Interface("ID3D11ComputeShader", ID3D11DeviceChild) ID3D11InputLayout = Interface("ID3D11InputLayout", ID3D11DeviceChild) ID3D11SamplerState = Interface("ID3D11SamplerState", ID3D11DeviceChild) ID3D11Asynchronous = Interface("ID3D11Asynchronous", ID3D11DeviceChild) ID3D11Query = Interface("ID3D11Query", ID3D11Asynchronous) ID3D11Predicate = Interface("ID3D11Predicate", ID3D11Query) ID3D11Counter = Interface("ID3D11Counter", ID3D11Asynchronous) ID3D11ClassInstance = Interface("ID3D11ClassInstance", ID3D11DeviceChild) ID3D11ClassLinkage = Interface("ID3D11ClassLinkage", ID3D11DeviceChild) ID3D11CommandList = Interface("ID3D11CommandList", ID3D11DeviceChild) ID3D11Device = Interface("ID3D11Device", IUnknown) D3D11_INPUT_CLASSIFICATION = Enum("D3D11_INPUT_CLASSIFICATION", [ "D3D11_INPUT_PER_VERTEX_DATA", "D3D11_INPUT_PER_INSTANCE_DATA", ]) D3D11_INPUT_ELEMENT_ALIGNED_BYTE_OFFSET = FakeEnum(UINT, [ "D3D11_APPEND_ALIGNED_ELEMENT", ]) D3D11_INPUT_ELEMENT_DESC = Struct("D3D11_INPUT_ELEMENT_DESC", [ (LPCSTR, "SemanticName"), (UINT, "SemanticIndex"), (DXGI_FORMAT, "Format"), (UINT, "InputSlot"), (D3D11_INPUT_ELEMENT_ALIGNED_BYTE_OFFSET, "AlignedByteOffset"), (D3D11_INPUT_CLASSIFICATION, "InputSlotClass"), (UINT, "InstanceDataStepRate"), ]) D3D11_FILL_MODE = Enum("D3D11_FILL_MODE", [ "D3D11_FILL_WIREFRAME", "D3D11_FILL_SOLID", ]) D3D11_PRIMITIVE_TOPOLOGY = Enum("D3D11_PRIMITIVE_TOPOLOGY", [ "D3D11_PRIMITIVE_TOPOLOGY_UNDEFINED", "D3D11_PRIMITIVE_TOPOLOGY_POINTLIST", "D3D11_PRIMITIVE_TOPOLOGY_LINELIST", "D3D11_PRIMITIVE_TOPOLOGY_LINESTRIP", "D3D11_PRIMITIVE_TOPOLOGY_TRIANGLELIST", "D3D11_PRIMITIVE_TOPOLOGY_TRIANGLESTRIP", "D3D11_PRIMITIVE_TOPOLOGY_LINELIST_ADJ", "D3D11_PRIMITIVE_TOPOLOGY_LINESTRIP_ADJ", "D3D11_PRIMITIVE_TOPOLOGY_TRIANGLELIST_ADJ", "D3D11_PRIMITIVE_TOPOLOGY_TRIANGLESTRIP_ADJ", "D3D11_PRIMITIVE_TOPOLOGY_1_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_2_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_3_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_4_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_5_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_6_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_7_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_8_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_9_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_10_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_11_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_12_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_13_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_14_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_15_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_16_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_17_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_18_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_19_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_20_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_21_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_22_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_23_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_24_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_25_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_26_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_27_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_28_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_29_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_30_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_31_CONTROL_POINT_PATCHLIST", "D3D11_PRIMITIVE_TOPOLOGY_32_CONTROL_POINT_PATCHLIST", ]) D3D11_PRIMITIVE = Enum("D3D11_PRIMITIVE", [ "D3D11_PRIMITIVE_UNDEFINED", "D3D11_PRIMITIVE_POINT", "D3D11_PRIMITIVE_LINE", "D3D11_PRIMITIVE_TRIANGLE", "D3D11_PRIMITIVE_LINE_ADJ", "D3D11_PRIMITIVE_TRIANGLE_ADJ", "D3D11_PRIMITIVE_1_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_2_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_3_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_4_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_5_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_6_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_7_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_8_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_9_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_10_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_11_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_12_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_13_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_14_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_15_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_16_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_17_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_18_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_19_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_20_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_21_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_22_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_23_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_24_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_25_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_26_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_27_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_28_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_29_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_30_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_31_CONTROL_POINT_PATCH", "D3D11_PRIMITIVE_32_CONTROL_POINT_PATCH", ]) D3D11_CULL_MODE = Enum("D3D11_CULL_MODE", [ "D3D11_CULL_NONE", "D3D11_CULL_FRONT", "D3D11_CULL_BACK", ]) D3D11_SO_DECLARATION_ENTRY = Struct("D3D11_SO_DECLARATION_ENTRY", [ (UINT, "Stream"), (LPCSTR, "SemanticName"), (UINT, "SemanticIndex"), (BYTE, "StartComponent"), (BYTE, "ComponentCount"), (BYTE, "OutputSlot"), ]) D3D11_VIEWPORT = Struct("D3D11_VIEWPORT", [ (FLOAT, "TopLeftX"), (FLOAT, "TopLeftY"), (FLOAT, "Width"), (FLOAT, "Height"), (FLOAT, "MinDepth"), (FLOAT, "MaxDepth"), ]) D3D11_RESOURCE_DIMENSION = Enum("D3D11_RESOURCE_DIMENSION", [ "D3D11_RESOURCE_DIMENSION_UNKNOWN", "D3D11_RESOURCE_DIMENSION_BUFFER", "D3D11_RESOURCE_DIMENSION_TEXTURE1D", "D3D11_RESOURCE_DIMENSION_TEXTURE2D", "D3D11_RESOURCE_DIMENSION_TEXTURE3D", ]) D3D11_SRV_DIMENSION = Enum("D3D11_SRV_DIMENSION", [ "D3D11_SRV_DIMENSION_UNKNOWN", "D3D11_SRV_DIMENSION_BUFFER", "D3D11_SRV_DIMENSION_TEXTURE1D", "D3D11_SRV_DIMENSION_TEXTURE1DARRAY", "D3D11_SRV_DIMENSION_TEXTURE2D", "D3D11_SRV_DIMENSION_TEXTURE2DARRAY", "D3D11_SRV_DIMENSION_TEXTURE2DMS", "D3D11_SRV_DIMENSION_TEXTURE2DMSARRAY", "D3D11_SRV_DIMENSION_TEXTURE3D", "D3D11_SRV_DIMENSION_TEXTURECUBE", "D3D11_SRV_DIMENSION_TEXTURECUBEARRAY", "D3D11_SRV_DIMENSION_BUFFEREX", ]) D3D11_DSV_DIMENSION = Enum("D3D11_DSV_DIMENSION", [ "D3D11_DSV_DIMENSION_UNKNOWN", "D3D11_DSV_DIMENSION_TEXTURE1D", "D3D11_DSV_DIMENSION_TEXTURE1DARRAY", "D3D11_DSV_DIMENSION_TEXTURE2D", "D3D11_DSV_DIMENSION_TEXTURE2DARRAY", "D3D11_DSV_DIMENSION_TEXTURE2DMS", "D3D11_DSV_DIMENSION_TEXTURE2DMSARRAY", ]) D3D11_RTV_DIMENSION = Enum("D3D11_RTV_DIMENSION", [ "D3D11_RTV_DIMENSION_UNKNOWN", "D3D11_RTV_DIMENSION_BUFFER", "D3D11_RTV_DIMENSION_TEXTURE1D", "D3D11_RTV_DIMENSION_TEXTURE1DARRAY", "D3D11_RTV_DIMENSION_TEXTURE2D", "D3D11_RTV_DIMENSION_TEXTURE2DARRAY", "D3D11_RTV_DIMENSION_TEXTURE2DMS", "D3D11_RTV_DIMENSION_TEXTURE2DMSARRAY", "D3D11_RTV_DIMENSION_TEXTURE3D", ]) D3D11_UAV_DIMENSION = Enum("D3D11_UAV_DIMENSION", [ "D3D11_UAV_DIMENSION_UNKNOWN", "D3D11_UAV_DIMENSION_BUFFER", "D3D11_UAV_DIMENSION_TEXTURE1D", "D3D11_UAV_DIMENSION_TEXTURE1DARRAY", "D3D11_UAV_DIMENSION_TEXTURE2D", "D3D11_UAV_DIMENSION_TEXTURE2DARRAY", "D3D11_UAV_DIMENSION_TEXTURE3D", ]) D3D11_USAGE = Enum("D3D11_USAGE", [ "D3D11_USAGE_DEFAULT", "D3D11_USAGE_IMMUTABLE", "D3D11_USAGE_DYNAMIC", "D3D11_USAGE_STAGING", ]) D3D11_BIND_FLAG = Flags(UINT, [ "D3D11_BIND_VERTEX_BUFFER", "D3D11_BIND_INDEX_BUFFER", "D3D11_BIND_CONSTANT_BUFFER", "D3D11_BIND_SHADER_RESOURCE", "D3D11_BIND_STREAM_OUTPUT", "D3D11_BIND_RENDER_TARGET", "D3D11_BIND_DEPTH_STENCIL", "D3D11_BIND_UNORDERED_ACCESS", ]) D3D11_CPU_ACCESS_FLAG = Flags(UINT, [ "D3D11_CPU_ACCESS_WRITE", "D3D11_CPU_ACCESS_READ", ]) D3D11_RESOURCE_MISC_FLAG = Flags(UINT, [ "D3D11_RESOURCE_MISC_GENERATE_MIPS", "D3D11_RESOURCE_MISC_SHARED", "D3D11_RESOURCE_MISC_TEXTURECUBE", "D3D11_RESOURCE_MISC_DRAWINDIRECT_ARGS", "D3D11_RESOURCE_MISC_BUFFER_ALLOW_RAW_VIEWS", "D3D11_RESOURCE_MISC_BUFFER_STRUCTURED", "D3D11_RESOURCE_MISC_RESOURCE_CLAMP", "D3D11_RESOURCE_MISC_SHARED_KEYEDMUTEX", "D3D11_RESOURCE_MISC_GDI_COMPATIBLE", ]) D3D11_MAP = Enum("D3D11_MAP", [ "D3D11_MAP_READ", "D3D11_MAP_WRITE", "D3D11_MAP_READ_WRITE", "D3D11_MAP_WRITE_DISCARD", "D3D11_MAP_WRITE_NO_OVERWRITE", ]) D3D11_MAP_FLAG = Flags(UINT, [ "D3D11_MAP_FLAG_DO_NOT_WAIT", ]) D3D11_RAISE_FLAG = Flags(UINT, [ "D3D11_RAISE_FLAG_DRIVER_INTERNAL_ERROR", ]) D3D11_CLEAR_FLAG = Flags(UINT, [ "D3D11_CLEAR_DEPTH", "D3D11_CLEAR_STENCIL", ]) D3D11_RECT = Alias("D3D11_RECT", RECT) D3D11_BOX = Struct("D3D11_BOX", [ (UINT, "left"), (UINT, "top"), (UINT, "front"), (UINT, "right"), (UINT, "bottom"), (UINT, "back"), ]) ID3D11DeviceChild.methods += [ StdMethod(Void, "GetDevice", [Out(Pointer(ObjPointer(ID3D11Device)), "ppDevice")]), StdMethod(HRESULT, "GetPrivateData", [(REFGUID, "guid"), Out(Pointer(UINT), "pDataSize"), Out(OpaquePointer(Void), "pData")]), StdMethod(HRESULT, "SetPrivateData", [(REFGUID, "guid"), (UINT, "DataSize"), (OpaqueBlob(Const(Void), "DataSize"), "pData")]), StdMethod(HRESULT, "SetPrivateDataInterface", [(REFGUID, "guid"), (OpaquePointer(Const(IUnknown)), "pData")]), ] D3D11_COMPARISON_FUNC = Enum("D3D11_COMPARISON_FUNC", [ "D3D11_COMPARISON_NEVER", "D3D11_COMPARISON_LESS", "D3D11_COMPARISON_EQUAL", "D3D11_COMPARISON_LESS_EQUAL", "D3D11_COMPARISON_GREATER", "D3D11_COMPARISON_NOT_EQUAL", "D3D11_COMPARISON_GREATER_EQUAL", "D3D11_COMPARISON_ALWAYS", ]) D3D11_DEPTH_WRITE_MASK = Enum("D3D11_DEPTH_WRITE_MASK", [ "D3D11_DEPTH_WRITE_MASK_ZERO", "D3D11_DEPTH_WRITE_MASK_ALL", ]) D3D11_STENCIL_OP = Enum("D3D11_STENCIL_OP", [ "D3D11_STENCIL_OP_KEEP", "D3D11_STENCIL_OP_ZERO", "D3D11_STENCIL_OP_REPLACE", "D3D11_STENCIL_OP_INCR_SAT", "D3D11_STENCIL_OP_DECR_SAT", "D3D11_STENCIL_OP_INVERT", "D3D11_STENCIL_OP_INCR", "D3D11_STENCIL_OP_DECR", ]) D3D11_DEPTH_STENCILOP_DESC = Struct("D3D11_DEPTH_STENCILOP_DESC", [ (D3D11_STENCIL_OP, "StencilFailOp"), (D3D11_STENCIL_OP, "StencilDepthFailOp"), (D3D11_STENCIL_OP, "StencilPassOp"), (D3D11_COMPARISON_FUNC, "StencilFunc"), ]) D3D11_DEPTH_STENCIL_DESC = Struct("D3D11_DEPTH_STENCIL_DESC", [ (BOOL, "DepthEnable"), (D3D11_DEPTH_WRITE_MASK, "DepthWriteMask"), (D3D11_COMPARISON_FUNC, "DepthFunc"), (BOOL, "StencilEnable"), (UINT8, "StencilReadMask"), (UINT8, "StencilWriteMask"), (D3D11_DEPTH_STENCILOP_DESC, "FrontFace"), (D3D11_DEPTH_STENCILOP_DESC, "BackFace"), ]) ID3D11DepthStencilState.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_DEPTH_STENCIL_DESC), "pDesc")]), ] D3D11_BLEND = Enum("D3D11_BLEND", [ "D3D11_BLEND_ZERO", "D3D11_BLEND_ONE", "D3D11_BLEND_SRC_COLOR", "D3D11_BLEND_INV_SRC_COLOR", "D3D11_BLEND_SRC_ALPHA", "D3D11_BLEND_INV_SRC_ALPHA", "D3D11_BLEND_DEST_ALPHA", "D3D11_BLEND_INV_DEST_ALPHA", "D3D11_BLEND_DEST_COLOR", "D3D11_BLEND_INV_DEST_COLOR", "D3D11_BLEND_SRC_ALPHA_SAT", "D3D11_BLEND_BLEND_FACTOR", "D3D11_BLEND_INV_BLEND_FACTOR", "D3D11_BLEND_SRC1_COLOR", "D3D11_BLEND_INV_SRC1_COLOR", "D3D11_BLEND_SRC1_ALPHA", "D3D11_BLEND_INV_SRC1_ALPHA", ]) D3D11_BLEND_OP = Enum("D3D11_BLEND_OP", [ "D3D11_BLEND_OP_ADD", "D3D11_BLEND_OP_SUBTRACT", "D3D11_BLEND_OP_REV_SUBTRACT", "D3D11_BLEND_OP_MIN", "D3D11_BLEND_OP_MAX", ]) D3D11_COLOR_WRITE_ENABLE = Enum("D3D11_COLOR_WRITE_ENABLE", [ "D3D11_COLOR_WRITE_ENABLE_ALL", "D3D11_COLOR_WRITE_ENABLE_RED", "D3D11_COLOR_WRITE_ENABLE_GREEN", "D3D11_COLOR_WRITE_ENABLE_BLUE", "D3D11_COLOR_WRITE_ENABLE_ALPHA", ]) D3D11_RENDER_TARGET_BLEND_DESC = Struct("D3D11_RENDER_TARGET_BLEND_DESC", [ (BOOL, "BlendEnable"), (D3D11_BLEND, "SrcBlend"), (D3D11_BLEND, "DestBlend"), (D3D11_BLEND_OP, "BlendOp"), (D3D11_BLEND, "SrcBlendAlpha"), (D3D11_BLEND, "DestBlendAlpha"), (D3D11_BLEND_OP, "BlendOpAlpha"), (UINT8, "RenderTargetWriteMask"), ]) D3D11_BLEND_DESC = Struct("D3D11_BLEND_DESC", [ (BOOL, "AlphaToCoverageEnable"), (BOOL, "IndependentBlendEnable"), (Array(D3D11_RENDER_TARGET_BLEND_DESC, 8), "RenderTarget"), ]) ID3D11BlendState.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_BLEND_DESC), "pDesc")]), ] D3D11_RASTERIZER_DESC = Struct("D3D11_RASTERIZER_DESC", [ (D3D11_FILL_MODE, "FillMode"), (D3D11_CULL_MODE, "CullMode"), (BOOL, "FrontCounterClockwise"), (INT, "DepthBias"), (FLOAT, "DepthBiasClamp"), (FLOAT, "SlopeScaledDepthBias"), (BOOL, "DepthClipEnable"), (BOOL, "ScissorEnable"), (BOOL, "MultisampleEnable"), (BOOL, "AntialiasedLineEnable"), ]) ID3D11RasterizerState.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_RASTERIZER_DESC), "pDesc")]), ] D3D11_SUBRESOURCE_DATA = Struct("D3D11_SUBRESOURCE_DATA", [ (OpaquePointer(Const(Void)), "pSysMem"), (UINT, "SysMemPitch"), (UINT, "SysMemSlicePitch"), ]) D3D11_MAPPED_SUBRESOURCE = Struct("D3D11_MAPPED_SUBRESOURCE", [ (OpaquePointer(Void), "pData"), (UINT, "RowPitch"), (UINT, "DepthPitch"), ]) ID3D11Resource.methods += [ StdMethod(Void, "GetType", [Out(Pointer(D3D11_RESOURCE_DIMENSION), "pResourceDimension")]), StdMethod(Void, "SetEvictionPriority", [(UINT, "EvictionPriority")]), StdMethod(UINT, "GetEvictionPriority", []), ] D3D11_BUFFER_DESC = Struct("D3D11_BUFFER_DESC", [ (UINT, "ByteWidth"), (D3D11_USAGE, "Usage"), (D3D11_BIND_FLAG, "BindFlags"), (D3D11_CPU_ACCESS_FLAG, "CPUAccessFlags"), (D3D11_RESOURCE_MISC_FLAG, "MiscFlags"), (UINT, "StructureByteStride"), ]) ID3D11Buffer.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_BUFFER_DESC), "pDesc")]), ] D3D11_TEXTURE1D_DESC = Struct("D3D11_TEXTURE1D_DESC", [ (UINT, "Width"), (UINT, "MipLevels"), (UINT, "ArraySize"), (DXGI_FORMAT, "Format"), (D3D11_USAGE, "Usage"), (D3D11_BIND_FLAG, "BindFlags"), (D3D11_CPU_ACCESS_FLAG, "CPUAccessFlags"), (D3D11_RESOURCE_MISC_FLAG, "MiscFlags"), ]) ID3D11Texture1D.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_TEXTURE1D_DESC), "pDesc")]), ] D3D11_TEXTURE2D_DESC = Struct("D3D11_TEXTURE2D_DESC", [ (UINT, "Width"), (UINT, "Height"), (UINT, "MipLevels"), (UINT, "ArraySize"), (DXGI_FORMAT, "Format"), (DXGI_SAMPLE_DESC, "SampleDesc"), (D3D11_USAGE, "Usage"), (D3D11_BIND_FLAG, "BindFlags"), (D3D11_CPU_ACCESS_FLAG, "CPUAccessFlags"), (D3D11_RESOURCE_MISC_FLAG, "MiscFlags"), ]) ID3D11Texture2D.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_TEXTURE2D_DESC), "pDesc")]), ] D3D11_TEXTURE3D_DESC = Struct("D3D11_TEXTURE3D_DESC", [ (UINT, "Width"), (UINT, "Height"), (UINT, "Depth"), (UINT, "MipLevels"), (DXGI_FORMAT, "Format"), (D3D11_USAGE, "Usage"), (D3D11_BIND_FLAG, "BindFlags"), (D3D11_CPU_ACCESS_FLAG, "CPUAccessFlags"), (D3D11_RESOURCE_MISC_FLAG, "MiscFlags"), ]) ID3D11Texture3D.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_TEXTURE3D_DESC), "pDesc")]), ] D3D11_TEXTURECUBE_FACE = Enum("D3D11_TEXTURECUBE_FACE", [ "D3D11_TEXTURECUBE_FACE_POSITIVE_X", "D3D11_TEXTURECUBE_FACE_NEGATIVE_X", "D3D11_TEXTURECUBE_FACE_POSITIVE_Y", "D3D11_TEXTURECUBE_FACE_NEGATIVE_Y", "D3D11_TEXTURECUBE_FACE_POSITIVE_Z", "D3D11_TEXTURECUBE_FACE_NEGATIVE_Z", ]) ID3D11View.methods += [ StdMethod(Void, "GetResource", [Out(Pointer(ObjPointer(ID3D11Resource)), "ppResource")]), ] D3D11_BUFFER_SRV = Struct("D3D11_BUFFER_SRV", [ (Union(None, [(UINT, "FirstElement"), (UINT, "ElementOffset")]), None), (Union(None, [(UINT, "NumElements"), (UINT, "ElementWidth")]), None), ]) D3D11_BUFFEREX_SRV_FLAG = Flags(UINT, [ "D3D11_BUFFEREX_SRV_FLAG_RAW", ]) D3D11_BUFFEREX_SRV = Struct("D3D11_BUFFEREX_SRV", [ (UINT, "FirstElement"), (UINT, "NumElements"), (D3D11_BUFFEREX_SRV_FLAG, "Flags"), ]) D3D11_TEX1D_SRV = Struct("D3D11_TEX1D_SRV", [ (UINT, "MostDetailedMip"), (UINT, "MipLevels"), ]) D3D11_TEX1D_ARRAY_SRV = Struct("D3D11_TEX1D_ARRAY_SRV", [ (UINT, "MostDetailedMip"), (UINT, "MipLevels"), (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_TEX2D_SRV = Struct("D3D11_TEX2D_SRV", [ (UINT, "MostDetailedMip"), (UINT, "MipLevels"), ]) D3D11_TEX2D_ARRAY_SRV = Struct("D3D11_TEX2D_ARRAY_SRV", [ (UINT, "MostDetailedMip"), (UINT, "MipLevels"), (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_TEX3D_SRV = Struct("D3D11_TEX3D_SRV", [ (UINT, "MostDetailedMip"), (UINT, "MipLevels"), ]) D3D11_TEXCUBE_SRV = Struct("D3D11_TEXCUBE_SRV", [ (UINT, "MostDetailedMip"), (UINT, "MipLevels"), ]) D3D11_TEXCUBE_ARRAY_SRV = Struct("D3D11_TEXCUBE_ARRAY_SRV", [ (UINT, "MostDetailedMip"), (UINT, "MipLevels"), (UINT, "First2DArrayFace"), (UINT, "NumCubes"), ]) D3D11_TEX2DMS_SRV = Struct("D3D11_TEX2DMS_SRV", [ (UINT, "UnusedField_NothingToDefine"), ]) D3D11_TEX2DMS_ARRAY_SRV = Struct("D3D11_TEX2DMS_ARRAY_SRV", [ (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_SHADER_RESOURCE_VIEW_DESC = Struct("D3D11_SHADER_RESOURCE_VIEW_DESC", [ (DXGI_FORMAT, "Format"), (D3D11_SRV_DIMENSION, "ViewDimension"), (Union(None, [ (D3D11_BUFFER_SRV, "Buffer"), (D3D11_TEX1D_SRV, "Texture1D"), (D3D11_TEX1D_ARRAY_SRV, "Texture1DArray"), (D3D11_TEX2D_SRV, "Texture2D"), (D3D11_TEX2D_ARRAY_SRV, "Texture2DArray"), (D3D11_TEX2DMS_SRV, "Texture2DMS"), (D3D11_TEX2DMS_ARRAY_SRV, "Texture2DMSArray"), (D3D11_TEX3D_SRV, "Texture3D"), (D3D11_TEXCUBE_SRV, "TextureCube"), (D3D11_TEXCUBE_ARRAY_SRV, "TextureCubeArray"), (D3D11_BUFFEREX_SRV, "BufferEx"), ]), None), ]) ID3D11ShaderResourceView.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_SHADER_RESOURCE_VIEW_DESC), "pDesc")]), ] D3D11_BUFFER_RTV = Struct("D3D11_BUFFER_RTV", [ (Union(None, [(UINT, "FirstElement"), (UINT, "ElementOffset")]), None), (Union(None, [(UINT, "NumElements"), (UINT, "ElementWidth")]), None), ]) D3D11_TEX1D_RTV = Struct("D3D11_TEX1D_RTV", [ (UINT, "MipSlice"), ]) D3D11_TEX1D_ARRAY_RTV = Struct("D3D11_TEX1D_ARRAY_RTV", [ (UINT, "MipSlice"), (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_TEX2D_RTV = Struct("D3D11_TEX2D_RTV", [ (UINT, "MipSlice"), ]) D3D11_TEX2DMS_RTV = Struct("D3D11_TEX2DMS_RTV", [ (UINT, "UnusedField_NothingToDefine"), ]) D3D11_TEX2D_ARRAY_RTV = Struct("D3D11_TEX2D_ARRAY_RTV", [ (UINT, "MipSlice"), (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_TEX2DMS_ARRAY_RTV = Struct("D3D11_TEX2DMS_ARRAY_RTV", [ (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_TEX3D_RTV = Struct("D3D11_TEX3D_RTV", [ (UINT, "MipSlice"), (UINT, "FirstWSlice"), (UINT, "WSize"), ]) D3D11_RENDER_TARGET_VIEW_DESC = Struct("D3D11_RENDER_TARGET_VIEW_DESC", [ (DXGI_FORMAT, "Format"), (D3D11_RTV_DIMENSION, "ViewDimension"), (Union(None, [ (D3D11_BUFFER_RTV, "Buffer"), (D3D11_TEX1D_RTV, "Texture1D"), (D3D11_TEX1D_ARRAY_RTV, "Texture1DArray"), (D3D11_TEX2D_RTV, "Texture2D"), (D3D11_TEX2D_ARRAY_RTV, "Texture2DArray"), (D3D11_TEX2DMS_RTV, "Texture2DMS"), (D3D11_TEX2DMS_ARRAY_RTV, "Texture2DMSArray"), (D3D11_TEX3D_RTV, "Texture3D"), ]), None), ]) ID3D11RenderTargetView.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_RENDER_TARGET_VIEW_DESC), "pDesc")]), ] D3D11_TEX1D_DSV = Struct("D3D11_TEX1D_DSV", [ (UINT, "MipSlice"), ]) D3D11_TEX1D_ARRAY_DSV = Struct("D3D11_TEX1D_ARRAY_DSV", [ (UINT, "MipSlice"), (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_TEX2D_DSV = Struct("D3D11_TEX2D_DSV", [ (UINT, "MipSlice"), ]) D3D11_TEX2D_ARRAY_DSV = Struct("D3D11_TEX2D_ARRAY_DSV", [ (UINT, "MipSlice"), (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_TEX2DMS_DSV = Struct("D3D11_TEX2DMS_DSV", [ (UINT, "UnusedField_NothingToDefine"), ]) D3D11_TEX2DMS_ARRAY_DSV = Struct("D3D11_TEX2DMS_ARRAY_DSV", [ (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_DSV_FLAG = Flags(UINT, [ "D3D11_DSV_READ_ONLY_DEPTH", "D3D11_DSV_READ_ONLY_STENCIL", ]) D3D11_DEPTH_STENCIL_VIEW_DESC = Struct("D3D11_DEPTH_STENCIL_VIEW_DESC", [ (DXGI_FORMAT, "Format"), (D3D11_DSV_DIMENSION, "ViewDimension"), (D3D11_DSV_FLAG, "Flags"), (Union(None, [ (D3D11_TEX1D_DSV, "Texture1D"), (D3D11_TEX1D_ARRAY_DSV, "Texture1DArray"), (D3D11_TEX2D_DSV, "Texture2D"), (D3D11_TEX2D_ARRAY_DSV, "Texture2DArray"), (D3D11_TEX2DMS_DSV, "Texture2DMS"), (D3D11_TEX2DMS_ARRAY_DSV, "Texture2DMSArray"), ]), None), ]) ID3D11DepthStencilView.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_DEPTH_STENCIL_VIEW_DESC), "pDesc")]), ] D3D11_BUFFER_UAV_FLAG = Flags(UINT, [ "D3D11_BUFFER_UAV_FLAG_RAW", "D3D11_BUFFER_UAV_FLAG_APPEND", "D3D11_BUFFER_UAV_FLAG_COUNTER", ]) D3D11_BUFFER_UAV = Struct("D3D11_BUFFER_UAV", [ (UINT, "FirstElement"), (UINT, "NumElements"), (D3D11_BUFFER_UAV_FLAG, "Flags"), ]) D3D11_TEX1D_UAV = Struct("D3D11_TEX1D_UAV", [ (UINT, "MipSlice"), ]) D3D11_TEX1D_ARRAY_UAV = Struct("D3D11_TEX1D_ARRAY_UAV", [ (UINT, "MipSlice"), (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_TEX2D_UAV = Struct("D3D11_TEX2D_UAV", [ (UINT, "MipSlice"), ]) D3D11_TEX2D_ARRAY_UAV = Struct("D3D11_TEX2D_ARRAY_UAV", [ (UINT, "MipSlice"), (UINT, "FirstArraySlice"), (UINT, "ArraySize"), ]) D3D11_TEX3D_UAV = Struct("D3D11_TEX3D_UAV", [ (UINT, "MipSlice"), (UINT, "FirstWSlice"), (UINT, "WSize"), ]) D3D11_UNORDERED_ACCESS_VIEW_DESC = Struct("D3D11_UNORDERED_ACCESS_VIEW_DESC", [ (DXGI_FORMAT, "Format"), (D3D11_UAV_DIMENSION, "ViewDimension"), (Union(None, [ (D3D11_BUFFER_UAV, "Buffer"), (D3D11_TEX1D_UAV, "Texture1D"), (D3D11_TEX1D_ARRAY_UAV, "Texture1DArray"), (D3D11_TEX2D_UAV, "Texture2D"), (D3D11_TEX2D_ARRAY_UAV, "Texture2DArray"), (D3D11_TEX3D_UAV, "Texture3D"), ]), None), ]) ID3D11UnorderedAccessView.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_UNORDERED_ACCESS_VIEW_DESC), "pDesc")]), ] D3D11_FILTER = Enum("D3D11_FILTER", [ "D3D11_FILTER_MIN_MAG_MIP_POINT", "D3D11_FILTER_MIN_MAG_POINT_MIP_LINEAR", "D3D11_FILTER_MIN_POINT_MAG_LINEAR_MIP_POINT", "D3D11_FILTER_MIN_POINT_MAG_MIP_LINEAR", "D3D11_FILTER_MIN_LINEAR_MAG_MIP_POINT", "D3D11_FILTER_MIN_LINEAR_MAG_POINT_MIP_LINEAR", "D3D11_FILTER_MIN_MAG_LINEAR_MIP_POINT", "D3D11_FILTER_MIN_MAG_MIP_LINEAR", "D3D11_FILTER_ANISOTROPIC", "D3D11_FILTER_COMPARISON_MIN_MAG_MIP_POINT", "D3D11_FILTER_COMPARISON_MIN_MAG_POINT_MIP_LINEAR", "D3D11_FILTER_COMPARISON_MIN_POINT_MAG_LINEAR_MIP_POINT", "D3D11_FILTER_COMPARISON_MIN_POINT_MAG_MIP_LINEAR", "D3D11_FILTER_COMPARISON_MIN_LINEAR_MAG_MIP_POINT", "D3D11_FILTER_COMPARISON_MIN_LINEAR_MAG_POINT_MIP_LINEAR", "D3D11_FILTER_COMPARISON_MIN_MAG_LINEAR_MIP_POINT", "D3D11_FILTER_COMPARISON_MIN_MAG_MIP_LINEAR", "D3D11_FILTER_COMPARISON_ANISOTROPIC", ]) D3D11_FILTER_TYPE = Enum("D3D11_FILTER_TYPE", [ "D3D11_FILTER_TYPE_POINT", "D3D11_FILTER_TYPE_LINEAR", ]) D3D11_TEXTURE_ADDRESS_MODE = Enum("D3D11_TEXTURE_ADDRESS_MODE", [ "D3D11_TEXTURE_ADDRESS_WRAP", "D3D11_TEXTURE_ADDRESS_MIRROR", "D3D11_TEXTURE_ADDRESS_CLAMP", "D3D11_TEXTURE_ADDRESS_BORDER", "D3D11_TEXTURE_ADDRESS_MIRROR_ONCE", ]) D3D11_SAMPLER_DESC = Struct("D3D11_SAMPLER_DESC", [ (D3D11_FILTER, "Filter"), (D3D11_TEXTURE_ADDRESS_MODE, "AddressU"), (D3D11_TEXTURE_ADDRESS_MODE, "AddressV"), (D3D11_TEXTURE_ADDRESS_MODE, "AddressW"), (FLOAT, "MipLODBias"), (UINT, "MaxAnisotropy"), (D3D11_COMPARISON_FUNC, "ComparisonFunc"), (Array(FLOAT, 4), "BorderColor"), (FLOAT, "MinLOD"), (FLOAT, "MaxLOD"), ]) ID3D11SamplerState.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_SAMPLER_DESC), "pDesc")]), ] D3D11_FORMAT_SUPPORT = Flags(UINT, [ "D3D11_FORMAT_SUPPORT_BUFFER", "D3D11_FORMAT_SUPPORT_IA_VERTEX_BUFFER", "D3D11_FORMAT_SUPPORT_IA_INDEX_BUFFER", "D3D11_FORMAT_SUPPORT_SO_BUFFER", "D3D11_FORMAT_SUPPORT_TEXTURE1D", "D3D11_FORMAT_SUPPORT_TEXTURE2D", "D3D11_FORMAT_SUPPORT_TEXTURE3D", "D3D11_FORMAT_SUPPORT_TEXTURECUBE", "D3D11_FORMAT_SUPPORT_SHADER_LOAD", "D3D11_FORMAT_SUPPORT_SHADER_SAMPLE", "D3D11_FORMAT_SUPPORT_SHADER_SAMPLE_COMPARISON", "D3D11_FORMAT_SUPPORT_SHADER_SAMPLE_MONO_TEXT", "D3D11_FORMAT_SUPPORT_MIP", "D3D11_FORMAT_SUPPORT_MIP_AUTOGEN", "D3D11_FORMAT_SUPPORT_RENDER_TARGET", "D3D11_FORMAT_SUPPORT_BLENDABLE", "D3D11_FORMAT_SUPPORT_DEPTH_STENCIL", "D3D11_FORMAT_SUPPORT_CPU_LOCKABLE", "D3D11_FORMAT_SUPPORT_MULTISAMPLE_RESOLVE", "D3D11_FORMAT_SUPPORT_DISPLAY", "D3D11_FORMAT_SUPPORT_CAST_WITHIN_BIT_LAYOUT", "D3D11_FORMAT_SUPPORT_MULTISAMPLE_RENDERTARGET", "D3D11_FORMAT_SUPPORT_MULTISAMPLE_LOAD", "D3D11_FORMAT_SUPPORT_SHADER_GATHER", "D3D11_FORMAT_SUPPORT_BACK_BUFFER_CAST", "D3D11_FORMAT_SUPPORT_TYPED_UNORDERED_ACCESS_VIEW", "D3D11_FORMAT_SUPPORT_SHADER_GATHER_COMPARISON", ]) D3D11_FORMAT_SUPPORT2 = Enum("D3D11_FORMAT_SUPPORT2", [ "D3D11_FORMAT_SUPPORT2_UAV_ATOMIC_ADD", "D3D11_FORMAT_SUPPORT2_UAV_ATOMIC_BITWISE_OPS", "D3D11_FORMAT_SUPPORT2_UAV_ATOMIC_COMPARE_STORE_OR_COMPARE_EXCHANGE", "D3D11_FORMAT_SUPPORT2_UAV_ATOMIC_EXCHANGE", "D3D11_FORMAT_SUPPORT2_UAV_ATOMIC_SIGNED_MIN_OR_MAX", "D3D11_FORMAT_SUPPORT2_UAV_ATOMIC_UNSIGNED_MIN_OR_MAX", "D3D11_FORMAT_SUPPORT2_UAV_TYPED_LOAD", "D3D11_FORMAT_SUPPORT2_UAV_TYPED_STORE", ]) ID3D11Asynchronous.methods += [ StdMethod(UINT, "GetDataSize", []), ] D3D11_ASYNC_GETDATA_FLAG = Flags(UINT, [ "D3D11_ASYNC_GETDATA_DONOTFLUSH", ]) D3D11_QUERY = Enum("D3D11_QUERY", [ "D3D11_QUERY_EVENT", "D3D11_QUERY_OCCLUSION", "D3D11_QUERY_TIMESTAMP", "D3D11_QUERY_TIMESTAMP_DISJOINT", "D3D11_QUERY_PIPELINE_STATISTICS", "D3D11_QUERY_OCCLUSION_PREDICATE", "D3D11_QUERY_SO_STATISTICS", "D3D11_QUERY_SO_OVERFLOW_PREDICATE", "D3D11_QUERY_SO_STATISTICS_STREAM0", "D3D11_QUERY_SO_OVERFLOW_PREDICATE_STREAM0", "D3D11_QUERY_SO_STATISTICS_STREAM1", "D3D11_QUERY_SO_OVERFLOW_PREDICATE_STREAM1", "D3D11_QUERY_SO_STATISTICS_STREAM2", "D3D11_QUERY_SO_OVERFLOW_PREDICATE_STREAM2", "D3D11_QUERY_SO_STATISTICS_STREAM3", "D3D11_QUERY_SO_OVERFLOW_PREDICATE_STREAM3", ]) D3D11_QUERY_MISC_FLAG = Flags(UINT, [ "D3D11_QUERY_MISC_PREDICATEHINT", ]) D3D11_QUERY_DESC = Struct("D3D11_QUERY_DESC", [ (D3D11_QUERY, "Query"), (D3D11_QUERY_MISC_FLAG, "MiscFlags"), ]) ID3D11Query.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_QUERY_DESC), "pDesc")]), ] D3D11_QUERY_DATA_TIMESTAMP_DISJOINT = Struct("D3D11_QUERY_DATA_TIMESTAMP_DISJOINT", [ (UINT64, "Frequency"), (BOOL, "Disjoint"), ]) D3D11_QUERY_DATA_PIPELINE_STATISTICS = Struct("D3D11_QUERY_DATA_PIPELINE_STATISTICS", [ (UINT64, "IAVertices"), (UINT64, "IAPrimitives"), (UINT64, "VSInvocations"), (UINT64, "GSInvocations"), (UINT64, "GSPrimitives"), (UINT64, "CInvocations"), (UINT64, "CPrimitives"), (UINT64, "PSInvocations"), (UINT64, "HSInvocations"), (UINT64, "DSInvocations"), (UINT64, "CSInvocations"), ]) D3D11_QUERY_DATA_SO_STATISTICS = Struct("D3D11_QUERY_DATA_SO_STATISTICS", [ (UINT64, "NumPrimitivesWritten"), (UINT64, "PrimitivesStorageNeeded"), ]) D3D11_COUNTER = Enum("D3D11_COUNTER", [ "D3D11_COUNTER_DEVICE_DEPENDENT_0", ]) D3D11_COUNTER_TYPE = Enum("D3D11_COUNTER_TYPE", [ "D3D11_COUNTER_TYPE_FLOAT32", "D3D11_COUNTER_TYPE_UINT16", "D3D11_COUNTER_TYPE_UINT32", "D3D11_COUNTER_TYPE_UINT64", ]) D3D11_COUNTER_DESC = Struct("D3D11_COUNTER_DESC", [ (D3D11_COUNTER, "Counter"), (UINT, "MiscFlags"), ]) D3D11_COUNTER_INFO = Struct("D3D11_COUNTER_INFO", [ (D3D11_COUNTER, "LastDeviceDependentCounter"), (UINT, "NumSimultaneousCounters"), (UINT8, "NumDetectableParallelUnits"), ]) ID3D11Counter.methods += [ StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_COUNTER_DESC), "pDesc")]), ] D3D11_STANDARD_MULTISAMPLE_QUALITY_LEVELS = Enum("D3D11_STANDARD_MULTISAMPLE_QUALITY_LEVELS", [ "D3D11_STANDARD_MULTISAMPLE_PATTERN", "D3D11_CENTER_MULTISAMPLE_PATTERN", ]) D3D11_DEVICE_CONTEXT_TYPE = Enum("D3D11_DEVICE_CONTEXT_TYPE", [ "D3D11_DEVICE_CONTEXT_IMMEDIATE", "D3D11_DEVICE_CONTEXT_DEFERRED", ]) D3D11_CLASS_INSTANCE_DESC = Struct("D3D11_CLASS_INSTANCE_DESC", [ (UINT, "InstanceId"), (UINT, "InstanceIndex"), (UINT, "TypeId"), (UINT, "ConstantBuffer"), (UINT, "BaseConstantBufferOffset"), (UINT, "BaseTexture"), (UINT, "BaseSampler"), (BOOL, "Created"), ]) ID3D11ClassInstance.methods += [ StdMethod(Void, "GetClassLinkage", [Out(Pointer(ObjPointer(ID3D11ClassLinkage)), "ppLinkage")]), StdMethod(Void, "GetDesc", [Out(Pointer(D3D11_CLASS_INSTANCE_DESC), "pDesc")]), StdMethod(Void, "GetInstanceName", [Out(LPSTR, "pInstanceName"), Out(Pointer(SIZE_T), "pBufferLength")]), StdMethod(Void, "GetTypeName", [Out(LPSTR, "pTypeName"), Out(Pointer(SIZE_T), "pBufferLength")]), ] ID3D11ClassLinkage.methods += [ StdMethod(HRESULT, "GetClassInstance", [(LPCSTR, "pClassInstanceName"), (UINT, "InstanceIndex"), Out(Pointer(ObjPointer(ID3D11ClassInstance)), "ppInstance")]), StdMethod(HRESULT, "CreateClassInstance", [(LPCSTR, "pClassTypeName"), (UINT, "ConstantBufferOffset"), (UINT, "ConstantVectorOffset"), (UINT, "TextureOffset"), (UINT, "SamplerOffset"), Out(Pointer(ObjPointer(ID3D11ClassInstance)), "ppInstance")]), ] ID3D11CommandList.methods += [ StdMethod(UINT, "GetContextFlags", []), ] D3D11_FEATURE_DATA_THREADING = Struct("D3D11_FEATURE_DATA_THREADING", [ (BOOL, "DriverConcurrentCreates"), (BOOL, "DriverCommandLists"), ]) D3D11_FEATURE_DATA_DOUBLES = Struct("D3D11_FEATURE_DATA_DOUBLES", [ (BOOL, "DoublePrecisionFloatShaderOps"), ]) D3D11_FEATURE_DATA_FORMAT_SUPPORT = Struct("D3D11_FEATURE_DATA_FORMAT_SUPPORT", [ (DXGI_FORMAT, "InFormat"), (D3D11_FORMAT_SUPPORT, "OutFormatSupport"), ]) D3D11_FEATURE_DATA_FORMAT_SUPPORT2 = Struct("D3D11_FEATURE_DATA_FORMAT_SUPPORT2", [ (DXGI_FORMAT, "InFormat"), (D3D11_FORMAT_SUPPORT2, "OutFormatSupport2"), ]) D3D11_FEATURE_DATA_D3D10_X_HARDWARE_OPTIONS = Struct("D3D11_FEATURE_DATA_D3D10_X_HARDWARE_OPTIONS", [ (BOOL, "ComputeShaders_Plus_RawAndStructuredBuffers_Via_Shader_4_x"), ]) D3D11_FEATURE, D3D11_FEATURE_DATA = EnumPolymorphic("D3D11_FEATURE", "Feature", [ ("D3D11_FEATURE_THREADING", Pointer(D3D11_FEATURE_DATA_THREADING)), ("D3D11_FEATURE_DOUBLES", Pointer(D3D11_FEATURE_DATA_DOUBLES)), ("D3D11_FEATURE_FORMAT_SUPPORT", Pointer(D3D11_FEATURE_DATA_FORMAT_SUPPORT)), ("D3D11_FEATURE_FORMAT_SUPPORT2", Pointer(D3D11_FEATURE_DATA_FORMAT_SUPPORT2)), ("D3D11_FEATURE_D3D10_X_HARDWARE_OPTIONS", Pointer(D3D11_FEATURE_DATA_D3D10_X_HARDWARE_OPTIONS)), ], Blob(Void, "FeatureSupportDataSize"), False) ID3D11DeviceContext.methods += [ StdMethod(Void, "VSSetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(Const(ObjPointer(ID3D11Buffer)), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "PSSetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(Const(ObjPointer(ID3D11ShaderResourceView)), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "PSSetShader", [(ObjPointer(ID3D11PixelShader), "pPixelShader"), (Array(Const(ObjPointer(ID3D11ClassInstance)), "NumClassInstances"), "ppClassInstances"), (UINT, "NumClassInstances")]), StdMethod(Void, "PSSetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(Const(ObjPointer(ID3D11SamplerState)), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "VSSetShader", [(ObjPointer(ID3D11VertexShader), "pVertexShader"), (Array(Const(ObjPointer(ID3D11ClassInstance)), "NumClassInstances"), "ppClassInstances"), (UINT, "NumClassInstances")]), StdMethod(Void, "DrawIndexed", [(UINT, "IndexCount"), (UINT, "StartIndexLocation"), (INT, "BaseVertexLocation")]), StdMethod(Void, "Draw", [(UINT, "VertexCount"), (UINT, "StartVertexLocation")]), StdMethod(HRESULT, "Map", [(ObjPointer(ID3D11Resource), "pResource"), (UINT, "Subresource"), (D3D11_MAP, "MapType"), (D3D11_MAP_FLAG, "MapFlags"), Out(Pointer(D3D11_MAPPED_SUBRESOURCE), "pMappedResource")]), StdMethod(Void, "Unmap", [(ObjPointer(ID3D11Resource), "pResource"), (UINT, "Subresource")]), StdMethod(Void, "PSSetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(Const(ObjPointer(ID3D11Buffer)), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "IASetInputLayout", [(ObjPointer(ID3D11InputLayout), "pInputLayout")]), StdMethod(Void, "IASetVertexBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(Const(ObjPointer(ID3D11Buffer)), "NumBuffers"), "ppVertexBuffers"), (Pointer(Const(UINT)), "pStrides"), (Pointer(Const(UINT)), "pOffsets")]), StdMethod(Void, "IASetIndexBuffer", [(ObjPointer(ID3D11Buffer), "pIndexBuffer"), (DXGI_FORMAT, "Format"), (UINT, "Offset")]), StdMethod(Void, "DrawIndexedInstanced", [(UINT, "IndexCountPerInstance"), (UINT, "InstanceCount"), (UINT, "StartIndexLocation"), (INT, "BaseVertexLocation"), (UINT, "StartInstanceLocation")]), StdMethod(Void, "DrawInstanced", [(UINT, "VertexCountPerInstance"), (UINT, "InstanceCount"), (UINT, "StartVertexLocation"), (UINT, "StartInstanceLocation")]), StdMethod(Void, "GSSetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(Const(ObjPointer(ID3D11Buffer)), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "GSSetShader", [(ObjPointer(ID3D11GeometryShader), "pShader"), (Array(Const(ObjPointer(ID3D11ClassInstance)), "NumClassInstances"), "ppClassInstances"), (UINT, "NumClassInstances")]), StdMethod(Void, "IASetPrimitiveTopology", [(D3D11_PRIMITIVE_TOPOLOGY, "Topology")]), StdMethod(Void, "VSSetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(Const(ObjPointer(ID3D11ShaderResourceView)), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "VSSetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(Const(ObjPointer(ID3D11SamplerState)), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "Begin", [(ObjPointer(ID3D11Asynchronous), "pAsync")]), StdMethod(Void, "End", [(ObjPointer(ID3D11Asynchronous), "pAsync")]), StdMethod(HRESULT, "GetData", [(ObjPointer(ID3D11Asynchronous), "pAsync"), Out(OpaqueBlob(Void, "DataSize"), "pData"), (UINT, "DataSize"), (D3D11_ASYNC_GETDATA_FLAG, "GetDataFlags")]), StdMethod(Void, "SetPredication", [(ObjPointer(ID3D11Predicate), "pPredicate"), (BOOL, "PredicateValue")]), StdMethod(Void, "GSSetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(Const(ObjPointer(ID3D11ShaderResourceView)), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "GSSetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(Const(ObjPointer(ID3D11SamplerState)), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "OMSetRenderTargets", [(UINT, "NumViews"), (Array(Const(ObjPointer(ID3D11RenderTargetView)), "NumViews"), "ppRenderTargetViews"), (ObjPointer(ID3D11DepthStencilView), "pDepthStencilView")]), StdMethod(Void, "OMSetRenderTargetsAndUnorderedAccessViews", [(UINT, "NumRTVs"), (Array(Const(ObjPointer(ID3D11RenderTargetView)), "NumRTVs"), "ppRenderTargetViews"), (ObjPointer(ID3D11DepthStencilView), "pDepthStencilView"), (UINT, "UAVStartSlot"), (UINT, "NumUAVs"), (Array(Const(ObjPointer(ID3D11UnorderedAccessView)), "NumUAVs"), "ppUnorderedAccessViews"), (Pointer(Const(UINT)), "pUAVInitialCounts")]), StdMethod(Void, "OMSetBlendState", [(ObjPointer(ID3D11BlendState), "pBlendState"), (Array(Const(FLOAT), 4), "BlendFactor"), (UINT, "SampleMask")]), StdMethod(Void, "OMSetDepthStencilState", [(ObjPointer(ID3D11DepthStencilState), "pDepthStencilState"), (UINT, "StencilRef")]), StdMethod(Void, "SOSetTargets", [(UINT, "NumBuffers"), (Array(Const(ObjPointer(ID3D11Buffer)), "NumBuffers"), "ppSOTargets"), (Pointer(Const(UINT)), "pOffsets")]), StdMethod(Void, "DrawAuto", []), StdMethod(Void, "DrawIndexedInstancedIndirect", [(ObjPointer(ID3D11Buffer), "pBufferForArgs"), (UINT, "AlignedByteOffsetForArgs")]), StdMethod(Void, "DrawInstancedIndirect", [(ObjPointer(ID3D11Buffer), "pBufferForArgs"), (UINT, "AlignedByteOffsetForArgs")]), StdMethod(Void, "Dispatch", [(UINT, "ThreadGroupCountX"), (UINT, "ThreadGroupCountY"), (UINT, "ThreadGroupCountZ")]), StdMethod(Void, "DispatchIndirect", [(ObjPointer(ID3D11Buffer), "pBufferForArgs"), (UINT, "AlignedByteOffsetForArgs")]), StdMethod(Void, "RSSetState", [(ObjPointer(ID3D11RasterizerState), "pRasterizerState")]), StdMethod(Void, "RSSetViewports", [(UINT, "NumViewports"), (Array(Const(D3D11_VIEWPORT), "NumViewports"), "pViewports")]), StdMethod(Void, "RSSetScissorRects", [(UINT, "NumRects"), (Array(Const(D3D11_RECT), "NumRects"), "pRects")]), StdMethod(Void, "CopySubresourceRegion", [(ObjPointer(ID3D11Resource), "pDstResource"), (UINT, "DstSubresource"), (UINT, "DstX"), (UINT, "DstY"), (UINT, "DstZ"), (ObjPointer(ID3D11Resource), "pSrcResource"), (UINT, "SrcSubresource"), (Pointer(Const(D3D11_BOX)), "pSrcBox")]), StdMethod(Void, "CopyResource", [(ObjPointer(ID3D11Resource), "pDstResource"), (ObjPointer(ID3D11Resource), "pSrcResource")]), StdMethod(Void, "UpdateSubresource", [(ObjPointer(ID3D11Resource), "pDstResource"), (UINT, "DstSubresource"), (Pointer(Const(D3D11_BOX)), "pDstBox"), (OpaquePointer(Const(Void)), "pSrcData"), (UINT, "SrcRowPitch"), (UINT, "SrcDepthPitch")]), StdMethod(Void, "CopyStructureCount", [(ObjPointer(ID3D11Buffer), "pDstBuffer"), (UINT, "DstAlignedByteOffset"), (ObjPointer(ID3D11UnorderedAccessView), "pSrcView")]), StdMethod(Void, "ClearRenderTargetView", [(ObjPointer(ID3D11RenderTargetView), "pRenderTargetView"), (Array(Const(FLOAT), 4), "ColorRGBA")]), StdMethod(Void, "ClearUnorderedAccessViewUint", [(ObjPointer(ID3D11UnorderedAccessView), "pUnorderedAccessView"), (Array(Const(UINT), 4), "Values")]), StdMethod(Void, "ClearUnorderedAccessViewFloat", [(ObjPointer(ID3D11UnorderedAccessView), "pUnorderedAccessView"), (Array(Const(FLOAT), 4), "Values")]), StdMethod(Void, "ClearDepthStencilView", [(ObjPointer(ID3D11DepthStencilView), "pDepthStencilView"), (D3D11_CLEAR_FLAG, "ClearFlags"), (FLOAT, "Depth"), (UINT8, "Stencil")]), StdMethod(Void, "GenerateMips", [(ObjPointer(ID3D11ShaderResourceView), "pShaderResourceView")]), StdMethod(Void, "SetResourceMinLOD", [(ObjPointer(ID3D11Resource), "pResource"), (FLOAT, "MinLOD")]), StdMethod(FLOAT, "GetResourceMinLOD", [(ObjPointer(ID3D11Resource), "pResource")]), StdMethod(Void, "ResolveSubresource", [(ObjPointer(ID3D11Resource), "pDstResource"), (UINT, "DstSubresource"), (ObjPointer(ID3D11Resource), "pSrcResource"), (UINT, "SrcSubresource"), (DXGI_FORMAT, "Format")]), StdMethod(Void, "ExecuteCommandList", [(ObjPointer(ID3D11CommandList), "pCommandList"), (BOOL, "RestoreContextState")]), StdMethod(Void, "HSSetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(Const(ObjPointer(ID3D11ShaderResourceView)), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "HSSetShader", [(ObjPointer(ID3D11HullShader), "pHullShader"), (Array(Const(ObjPointer(ID3D11ClassInstance)), "NumClassInstances"), "ppClassInstances"), (UINT, "NumClassInstances")]), StdMethod(Void, "HSSetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(Const(ObjPointer(ID3D11SamplerState)), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "HSSetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(Const(ObjPointer(ID3D11Buffer)), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "DSSetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(Const(ObjPointer(ID3D11ShaderResourceView)), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "DSSetShader", [(ObjPointer(ID3D11DomainShader), "pDomainShader"), (Array(Const(ObjPointer(ID3D11ClassInstance)), "NumClassInstances"), "ppClassInstances"), (UINT, "NumClassInstances")]), StdMethod(Void, "DSSetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(Const(ObjPointer(ID3D11SamplerState)), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "DSSetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(Const(ObjPointer(ID3D11Buffer)), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "CSSetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(Const(ObjPointer(ID3D11ShaderResourceView)), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "CSSetUnorderedAccessViews", [(UINT, "StartSlot"), (UINT, "NumUAVs"), (Array(Const(ObjPointer(ID3D11UnorderedAccessView)), "NumUAVs"), "ppUnorderedAccessViews"), (Pointer(Const(UINT)), "pUAVInitialCounts")]), StdMethod(Void, "CSSetShader", [(ObjPointer(ID3D11ComputeShader), "pComputeShader"), (Array(Const(ObjPointer(ID3D11ClassInstance)), "NumClassInstances"), "ppClassInstances"), (UINT, "NumClassInstances")]), StdMethod(Void, "CSSetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(Const(ObjPointer(ID3D11SamplerState)), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "CSSetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(Const(ObjPointer(ID3D11Buffer)), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "VSGetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(ObjPointer(ID3D11Buffer), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "PSGetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(ObjPointer(ID3D11ShaderResourceView), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "PSGetShader", [Out(Pointer(ObjPointer(ID3D11PixelShader)), "ppPixelShader"), Out(Array(ObjPointer(ID3D11ClassInstance), "*pNumClassInstances"), "ppClassInstances"), Out(Pointer(UINT), "pNumClassInstances")]), StdMethod(Void, "PSGetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(ObjPointer(ID3D11SamplerState), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "VSGetShader", [Out(Pointer(ObjPointer(ID3D11VertexShader)), "ppVertexShader"), Out(Array(ObjPointer(ID3D11ClassInstance), "*pNumClassInstances"), "ppClassInstances"), Out(Pointer(UINT), "pNumClassInstances")]), StdMethod(Void, "PSGetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(ObjPointer(ID3D11Buffer), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "IAGetInputLayout", [Out(Pointer(ObjPointer(ID3D11InputLayout)), "ppInputLayout")]), StdMethod(Void, "IAGetVertexBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(ObjPointer(ID3D11Buffer), "NumBuffers"), "ppVertexBuffers"), Out(Pointer(UINT), "pStrides"), Out(Pointer(UINT), "pOffsets")]), StdMethod(Void, "IAGetIndexBuffer", [Out(Pointer(ObjPointer(ID3D11Buffer)), "pIndexBuffer"), Out(Pointer(DXGI_FORMAT), "Format"), Out(Pointer(UINT), "Offset")]), StdMethod(Void, "GSGetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(ObjPointer(ID3D11Buffer), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "GSGetShader", [Out(Pointer(ObjPointer(ID3D11GeometryShader)), "ppGeometryShader"), Out(Array(ObjPointer(ID3D11ClassInstance), "*pNumClassInstances"), "ppClassInstances"), Out(Pointer(UINT), "pNumClassInstances")]), StdMethod(Void, "IAGetPrimitiveTopology", [Out(Pointer(D3D11_PRIMITIVE_TOPOLOGY), "pTopology")]), StdMethod(Void, "VSGetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(ObjPointer(ID3D11ShaderResourceView), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "VSGetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(ObjPointer(ID3D11SamplerState), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "GetPredication", [Out(Pointer(ObjPointer(ID3D11Predicate)), "ppPredicate"), Out(Pointer(BOOL), "pPredicateValue")]), StdMethod(Void, "GSGetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(ObjPointer(ID3D11ShaderResourceView), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "GSGetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(ObjPointer(ID3D11SamplerState), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "OMGetRenderTargets", [(UINT, "NumViews"), (Array(ObjPointer(ID3D11RenderTargetView), "NumViews"), "ppRenderTargetViews"), Out(Pointer(ObjPointer(ID3D11DepthStencilView)), "ppDepthStencilView")]), StdMethod(Void, "OMGetRenderTargetsAndUnorderedAccessViews", [(UINT, "NumRTVs"), (Array(ObjPointer(ID3D11RenderTargetView), "NumRTVs"), "ppRenderTargetViews"), Out(Pointer(ObjPointer(ID3D11DepthStencilView)), "ppDepthStencilView"), (UINT, "UAVStartSlot"), (UINT, "NumUAVs"), (Array(ObjPointer(ID3D11UnorderedAccessView), "NumUAVs"), "ppUnorderedAccessViews")]), StdMethod(Void, "OMGetBlendState", [Out(Pointer(ObjPointer(ID3D11BlendState)), "ppBlendState"), Out(Array(FLOAT, 4), "BlendFactor"), Out(Pointer(UINT), "pSampleMask")]), StdMethod(Void, "OMGetDepthStencilState", [Out(Pointer(ObjPointer(ID3D11DepthStencilState)), "ppDepthStencilState"), Out(Pointer(UINT), "pStencilRef")]), StdMethod(Void, "SOGetTargets", [(UINT, "NumBuffers"), (Array(ObjPointer(ID3D11Buffer), "NumBuffers"), "ppSOTargets")]), StdMethod(Void, "RSGetState", [Out(Pointer(ObjPointer(ID3D11RasterizerState)), "ppRasterizerState")]), StdMethod(Void, "RSGetViewports", [Out(Pointer(UINT), "pNumViewports"), Out(Array(D3D11_VIEWPORT, "*pNumViewports"), "pViewports")]), StdMethod(Void, "RSGetScissorRects", [Out(Pointer(UINT), "pNumRects"), Out(Array(D3D11_RECT, "*pNumRects"), "pRects")]), StdMethod(Void, "HSGetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(ObjPointer(ID3D11ShaderResourceView), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "HSGetShader", [Out(Pointer(ObjPointer(ID3D11HullShader)), "ppHullShader"), Out(Array(ObjPointer(ID3D11ClassInstance), "*pNumClassInstances"), "ppClassInstances"), Out(Pointer(UINT), "pNumClassInstances")]), StdMethod(Void, "HSGetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(ObjPointer(ID3D11SamplerState), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "HSGetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(ObjPointer(ID3D11Buffer), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "DSGetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(ObjPointer(ID3D11ShaderResourceView), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "DSGetShader", [Out(Pointer(ObjPointer(ID3D11DomainShader)), "ppDomainShader"), Out(Array(ObjPointer(ID3D11ClassInstance), "*pNumClassInstances"), "ppClassInstances"), Out(Pointer(UINT), "pNumClassInstances")]), StdMethod(Void, "DSGetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(ObjPointer(ID3D11SamplerState), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "DSGetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(ObjPointer(ID3D11Buffer), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "CSGetShaderResources", [(UINT, "StartSlot"), (UINT, "NumViews"), (Array(ObjPointer(ID3D11ShaderResourceView), "NumViews"), "ppShaderResourceViews")]), StdMethod(Void, "CSGetUnorderedAccessViews", [(UINT, "StartSlot"), (UINT, "NumUAVs"), (Array(ObjPointer(ID3D11UnorderedAccessView), "NumUAVs"), "ppUnorderedAccessViews")]), StdMethod(Void, "CSGetShader", [Out(Pointer(ObjPointer(ID3D11ComputeShader)), "ppComputeShader"), Out(Array(ObjPointer(ID3D11ClassInstance), "*pNumClassInstances"), "ppClassInstances"), Out(Pointer(UINT), "pNumClassInstances")]), StdMethod(Void, "CSGetSamplers", [(UINT, "StartSlot"), (UINT, "NumSamplers"), (Array(ObjPointer(ID3D11SamplerState), "NumSamplers"), "ppSamplers")]), StdMethod(Void, "CSGetConstantBuffers", [(UINT, "StartSlot"), (UINT, "NumBuffers"), (Array(ObjPointer(ID3D11Buffer), "NumBuffers"), "ppConstantBuffers")]), StdMethod(Void, "ClearState", []), StdMethod(Void, "Flush", []), StdMethod(D3D11_DEVICE_CONTEXT_TYPE, "GetType", []), StdMethod(UINT, "GetContextFlags", []), StdMethod(HRESULT, "FinishCommandList", [(BOOL, "RestoreDeferredContextState"), Out(Pointer(ObjPointer(ID3D11CommandList)), "ppCommandList")]), ] D3D11_CREATE_DEVICE_FLAG = Flags(UINT, [ "D3D11_CREATE_DEVICE_SINGLETHREADED", "D3D11_CREATE_DEVICE_DEBUG", "D3D11_CREATE_DEVICE_SWITCH_TO_REF", "D3D11_CREATE_DEVICE_PREVENT_INTERNAL_THREADING_OPTIMIZATIONS", "D3D11_CREATE_DEVICE_BGRA_SUPPORT", ]) ID3D11Device.methods += [ StdMethod(HRESULT, "CreateBuffer", [(Pointer(Const(D3D11_BUFFER_DESC)), "pDesc"), (Pointer(Const(D3D11_SUBRESOURCE_DATA)), "pInitialData"), Out(Pointer(ObjPointer(ID3D11Buffer)), "ppBuffer")]), StdMethod(HRESULT, "CreateTexture1D", [(Pointer(Const(D3D11_TEXTURE1D_DESC)), "pDesc"), (Pointer(Const(D3D11_SUBRESOURCE_DATA)), "pInitialData"), Out(Pointer(ObjPointer(ID3D11Texture1D)), "ppTexture1D")]), StdMethod(HRESULT, "CreateTexture2D", [(Pointer(Const(D3D11_TEXTURE2D_DESC)), "pDesc"), (Pointer(Const(D3D11_SUBRESOURCE_DATA)), "pInitialData"), Out(Pointer(ObjPointer(ID3D11Texture2D)), "ppTexture2D")]), StdMethod(HRESULT, "CreateTexture3D", [(Pointer(Const(D3D11_TEXTURE3D_DESC)), "pDesc"), (Pointer(Const(D3D11_SUBRESOURCE_DATA)), "pInitialData"), Out(Pointer(ObjPointer(ID3D11Texture3D)), "ppTexture3D")]), StdMethod(HRESULT, "CreateShaderResourceView", [(ObjPointer(ID3D11Resource), "pResource"), (Pointer(Const(D3D11_SHADER_RESOURCE_VIEW_DESC)), "pDesc"), Out(Pointer(ObjPointer(ID3D11ShaderResourceView)), "ppSRView")]), StdMethod(HRESULT, "CreateUnorderedAccessView", [(ObjPointer(ID3D11Resource), "pResource"), (Pointer(Const(D3D11_UNORDERED_ACCESS_VIEW_DESC)), "pDesc"), Out(Pointer(ObjPointer(ID3D11UnorderedAccessView)), "ppUAView")]), StdMethod(HRESULT, "CreateRenderTargetView", [(ObjPointer(ID3D11Resource), "pResource"), (Pointer(Const(D3D11_RENDER_TARGET_VIEW_DESC)), "pDesc"), Out(Pointer(ObjPointer(ID3D11RenderTargetView)), "ppRTView")]), StdMethod(HRESULT, "CreateDepthStencilView", [(ObjPointer(ID3D11Resource), "pResource"), (Pointer(Const(D3D11_DEPTH_STENCIL_VIEW_DESC)), "pDesc"), Out(Pointer(ObjPointer(ID3D11DepthStencilView)), "ppDepthStencilView")]), StdMethod(HRESULT, "CreateInputLayout", [(Array(Const(D3D11_INPUT_ELEMENT_DESC), "NumElements"), "pInputElementDescs"), (UINT, "NumElements"), (Blob(Const(Void), "BytecodeLength"), "pShaderBytecodeWithInputSignature"), (SIZE_T, "BytecodeLength"), Out(Pointer(ObjPointer(ID3D11InputLayout)), "ppInputLayout")]), StdMethod(HRESULT, "CreateVertexShader", [(Blob(Const(Void), "BytecodeLength"), "pShaderBytecode"), (SIZE_T, "BytecodeLength"), (ObjPointer(ID3D11ClassLinkage), "pClassLinkage"), Out(Pointer(ObjPointer(ID3D11VertexShader)), "ppVertexShader")]), StdMethod(HRESULT, "CreateGeometryShader", [(Blob(Const(Void), "BytecodeLength"), "pShaderBytecode"), (SIZE_T, "BytecodeLength"), (ObjPointer(ID3D11ClassLinkage), "pClassLinkage"), Out(Pointer(ObjPointer(ID3D11GeometryShader)), "ppGeometryShader")]), StdMethod(HRESULT, "CreateGeometryShaderWithStreamOutput", [(Blob(Const(Void), "BytecodeLength"), "pShaderBytecode"), (SIZE_T, "BytecodeLength"), (Array(Const(D3D11_SO_DECLARATION_ENTRY), "NumEntries"), "pSODeclaration"), (UINT, "NumEntries"), (Array(Const(UINT), "NumStrides"), "pBufferStrides"), (UINT, "NumStrides"), (UINT, "RasterizedStream"), (ObjPointer(ID3D11ClassLinkage), "pClassLinkage"), Out(Pointer(ObjPointer(ID3D11GeometryShader)), "ppGeometryShader")]), StdMethod(HRESULT, "CreatePixelShader", [(Blob(Const(Void), "BytecodeLength"), "pShaderBytecode"), (SIZE_T, "BytecodeLength"), (ObjPointer(ID3D11ClassLinkage), "pClassLinkage"), Out(Pointer(ObjPointer(ID3D11PixelShader)), "ppPixelShader")]), StdMethod(HRESULT, "CreateHullShader", [(Blob(Const(Void), "BytecodeLength"), "pShaderBytecode"), (SIZE_T, "BytecodeLength"), (ObjPointer(ID3D11ClassLinkage), "pClassLinkage"), Out(Pointer(ObjPointer(ID3D11HullShader)), "ppHullShader")]), StdMethod(HRESULT, "CreateDomainShader", [(Blob(Const(Void), "BytecodeLength"), "pShaderBytecode"), (SIZE_T, "BytecodeLength"), (ObjPointer(ID3D11ClassLinkage), "pClassLinkage"), Out(Pointer(ObjPointer(ID3D11DomainShader)), "ppDomainShader")]), StdMethod(HRESULT, "CreateComputeShader", [(Blob(Const(Void), "BytecodeLength"), "pShaderBytecode"), (SIZE_T, "BytecodeLength"), (ObjPointer(ID3D11ClassLinkage), "pClassLinkage"), Out(Pointer(ObjPointer(ID3D11ComputeShader)), "ppComputeShader")]), StdMethod(HRESULT, "CreateClassLinkage", [Out(Pointer(ObjPointer(ID3D11ClassLinkage)), "ppLinkage")]), StdMethod(HRESULT, "CreateBlendState", [(Pointer(Const(D3D11_BLEND_DESC)), "pBlendStateDesc"), Out(Pointer(ObjPointer(ID3D11BlendState)), "ppBlendState")]), StdMethod(HRESULT, "CreateDepthStencilState", [(Pointer(Const(D3D11_DEPTH_STENCIL_DESC)), "pDepthStencilDesc"), Out(Pointer(ObjPointer(ID3D11DepthStencilState)), "ppDepthStencilState")]), StdMethod(HRESULT, "CreateRasterizerState", [(Pointer(Const(D3D11_RASTERIZER_DESC)), "pRasterizerDesc"), Out(Pointer(ObjPointer(ID3D11RasterizerState)), "ppRasterizerState")]), StdMethod(HRESULT, "CreateSamplerState", [(Pointer(Const(D3D11_SAMPLER_DESC)), "pSamplerDesc"), Out(Pointer(ObjPointer(ID3D11SamplerState)), "ppSamplerState")]), StdMethod(HRESULT, "CreateQuery", [(Pointer(Const(D3D11_QUERY_DESC)), "pQueryDesc"), Out(Pointer(ObjPointer(ID3D11Query)), "ppQuery")]), StdMethod(HRESULT, "CreatePredicate", [(Pointer(Const(D3D11_QUERY_DESC)), "pPredicateDesc"), Out(Pointer(ObjPointer(ID3D11Predicate)), "ppPredicate")]), StdMethod(HRESULT, "CreateCounter", [(Pointer(Const(D3D11_COUNTER_DESC)), "pCounterDesc"), Out(Pointer(ObjPointer(ID3D11Counter)), "ppCounter")]), StdMethod(HRESULT, "CreateDeferredContext", [(UINT, "ContextFlags"), Out(Pointer(ObjPointer(ID3D11DeviceContext)), "ppDeferredContext")]), StdMethod(HRESULT, "OpenSharedResource", [(HANDLE, "hResource"), (REFIID, "ReturnedInterface"), Out(Pointer(ObjPointer(Void)), "ppResource")]), StdMethod(HRESULT, "CheckFormatSupport", [(DXGI_FORMAT, "Format"), Out(Pointer(D3D11_FORMAT_SUPPORT), "pFormatSupport")]), StdMethod(HRESULT, "CheckMultisampleQualityLevels", [(DXGI_FORMAT, "Format"), (UINT, "SampleCount"), Out(Pointer(UINT), "pNumQualityLevels")]), StdMethod(Void, "CheckCounterInfo", [Out(Pointer(D3D11_COUNTER_INFO), "pCounterInfo")]), StdMethod(HRESULT, "CheckCounter", [(Pointer(Const(D3D11_COUNTER_DESC)), "pDesc"), Out(Pointer(D3D11_COUNTER_TYPE), "pType"), Out(Pointer(UINT), "pActiveCounters"), Out(LPSTR, "szName"), Out(Pointer(UINT), "pNameLength"), Out(LPSTR, "szUnits"), Out(Pointer(UINT), "pUnitsLength"), Out(LPSTR, "szDescription"), Out(Pointer(UINT), "pDescriptionLength")]), StdMethod(HRESULT, "CheckFeatureSupport", [(D3D11_FEATURE, "Feature"), Out(D3D11_FEATURE_DATA, "pFeatureSupportData"), (UINT, "FeatureSupportDataSize")]), StdMethod(HRESULT, "GetPrivateData", [(REFGUID, "guid"), Out(Pointer(UINT), "pDataSize"), Out(OpaquePointer(Void), "pData")]), StdMethod(HRESULT, "SetPrivateData", [(REFGUID, "guid"), (UINT, "DataSize"), (OpaqueBlob(Const(Void), "DataSize"), "pData")]), StdMethod(HRESULT, "SetPrivateDataInterface", [(REFGUID, "guid"), (OpaquePointer(Const(IUnknown)), "pData")]), StdMethod(D3D_FEATURE_LEVEL, "GetFeatureLevel", []), StdMethod(D3D11_CREATE_DEVICE_FLAG, "GetCreationFlags", []), StdMethod(HRESULT, "GetDeviceRemovedReason", []), StdMethod(Void, "GetImmediateContext", [Out(Pointer(ObjPointer(ID3D11DeviceContext)), "ppImmediateContext")]), StdMethod(HRESULT, "SetExceptionMode", [(D3D11_RAISE_FLAG, "RaiseFlags")]), StdMethod(UINT, "GetExceptionMode", []), ] d3d11 = API("d3d11") d3d11.addFunctions([ StdFunction(HRESULT, "D3D11CreateDevice", [(ObjPointer(IDXGIAdapter), "pAdapter"), (D3D_DRIVER_TYPE, "DriverType"), (HMODULE, "Software"), (D3D11_CREATE_DEVICE_FLAG, "Flags"), (Array(Const(D3D_FEATURE_LEVEL), "FeatureLevels"), "pFeatureLevels"), (UINT, "FeatureLevels"), (UINT, "SDKVersion"), Out(Pointer(ObjPointer(ID3D11Device)), "ppDevice"), Out(Pointer(D3D_FEATURE_LEVEL), "pFeatureLevel"), Out(Pointer(ObjPointer(ID3D11DeviceContext)), "ppImmediateContext")]), StdFunction(HRESULT, "D3D11CreateDeviceAndSwapChain", [(ObjPointer(IDXGIAdapter), "pAdapter"), (D3D_DRIVER_TYPE, "DriverType"), (HMODULE, "Software"), (D3D11_CREATE_DEVICE_FLAG, "Flags"), (Array(Const(D3D_FEATURE_LEVEL), "FeatureLevels"), "pFeatureLevels"), (UINT, "FeatureLevels"), (UINT, "SDKVersion"), (Pointer(Const(DXGI_SWAP_CHAIN_DESC)), "pSwapChainDesc"), Out(Pointer(ObjPointer(IDXGISwapChain)), "ppSwapChain"), Out(Pointer(ObjPointer(ID3D11Device)), "ppDevice"), Out(Pointer(D3D_FEATURE_LEVEL), "pFeatureLevel"), Out(Pointer(ObjPointer(ID3D11DeviceContext)), "ppImmediateContext")]), # XXX: Undocumented functions, called by d3d11sdklayers.dll when D3D11_CREATE_DEVICE_DEBUG is set StdFunction(HRESULT, "D3D11CoreRegisterLayers", [LPCVOID, DWORD], internal=True), StdFunction(SIZE_T, "D3D11CoreGetLayeredDeviceSize", [LPCVOID, DWORD], internal=True), StdFunction(HRESULT, "D3D11CoreCreateLayeredDevice", [LPCVOID, DWORD, LPCVOID, (REFIID, "riid"), Out(Pointer(ObjPointer(Void)), "ppvObj")], internal=True), StdFunction(HRESULT, "D3D11CoreCreateDevice", [DWORD, DWORD, DWORD, DWORD, DWORD, DWORD, DWORD, DWORD, DWORD], internal=True), ]) d3d11.addInterfaces([ IDXGIAdapter1, IDXGIDevice1, IDXGIResource, ID3D11Debug, ID3D11InfoQueue, ID3D11SwitchToRef, ])
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2.161851
28,619
from copy import deepcopy
[ 6738, 4866, 1330, 2769, 30073, 628 ]
4.5
6
# -*- coding: utf-8 -*- """ Created on Tue Jun 26 16:34:21 2018 @author: LiHongWang """ import os import tensorflow as tf from model import fcn_vgg from model import fcn_mobile from model import fcn_resnet_v2 from data import input_data slim = tf.contrib.slim if __name__=='__main__': main()
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2.295775
142
#!/usr/bin/env python # -*- coding: utf-8 -*- import codecs from setuptools import find_packages, setup setup( name='filetype', version='1.0.7', description='Infer file type and MIME type of any file/buffer. ' 'No external dependencies.', long_description=codecs.open('README.rst', 'r', encoding='utf-8', errors='ignore').read(), keywords='file libmagic magic infer numbers magicnumbers discovery mime ' 'type kind', url='https://github.com/h2non/filetype.py', download_url='https://github.com/h2non/filetype.py/tarball/master', author='Tomas Aparicio', author_email='tomas@aparicio.me', license='MIT', license_files=['LICENSE'], classifiers=[ 'Development Status :: 5 - Production/Stable', 'Environment :: Console', 'Environment :: Web Environment', 'Intended Audience :: Developers', 'Intended Audience :: System Administrators', 'License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', 'Topic :: System', 'Topic :: System :: Filesystems', 'Topic :: Utilities'], platforms=['any'], packages=find_packages(exclude=['dist', 'build', 'docs', 'tests', 'examples']), package_data={'filetype': ['LICENSE', '*.md']}, zip_safe=True)
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# make sure templates are present and netmiko knows about them # git clone https://github.com/networktocode/ntc-templates # export NET_TEXTFSM=/home/ntc/ntc-templates/templates/ # see https://github.com/networktocode/ntc-templates/tree/master/templates # for list of templates from netmiko import ConnectHandler import json user = 'ntc' pwd = 'ntc123' d_type = 'cisco_ios' csr1 = ConnectHandler(ip='csr1', username=user, password=pwd, device_type=d_type) sh_ip_int_br = csr1.send_command("show ip int brief", use_textfsm=True) # [{'status': 'up', 'intf': 'GigabitEthernet1', 'ipaddr': '10.0.0.51', 'proto': 'up'}, {'status': 'up', 'intf': 'GigabitEthernet2', 'ipaddr': 'unassigned', 'proto': 'up'}, {'status': 'up', 'intf': 'GigabitEthernet3', 'ipaddr': 'unassigned', 'proto': 'up'}, {'status': 'up', 'intf': 'GigabitEthernet4', 'ipaddr': '5.12.1.1', 'proto': 'up'}, {'status': 'up', 'intf': 'Loopback100', 'ipaddr': '10.200.1.20', 'proto': 'up'}] # is type list print (type(sh_ip_int_br)) # list of dicts print (type(sh_ip_int_br[0])) for each_dict in sh_ip_int_br: print "\n" for key in each_dict.keys(): print key for each_dict in sh_ip_int_br: print "\n" for key, value in each_dict.items(): print key + " is " + value sh_ver_ios = csr1.send_command("show version", use_textfsm=True) # [{'running_image': 'packages.conf', 'hostname': 'csr1', 'uptime': '6 hours, 59 minutes', 'config_register': '0x2102', 'hardware': ['CSR1000V'], 'version': '16.6.2', 'serial': ['9KIBQAQ3OPE'], 'rommon': 'IOS-XE'}] # print the json nicely print (json.dumps(sh_ver_ios, indent=4)) print sh_ver_ios # list print type(sh_ver_ios) # each item is a dict print type(sh_ver_ios[0]) # list of dicts with some nested lists with the dicts for each_dict in sh_ver_ios: print "\n" for key, value in each_dict.items(): if type(value) is list: print key + " is " for list_entry in value: print list_entry if type(value) is str: print key + " is " + value
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# Copyright 2016 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Sample showing how to validate the Identity-Aware Proxy (IAP) JWT. This code should be used by applications in Google Compute Engine-based environments (such as Google App Engine flexible environment, Google Compute Engine, or Google Container Engine) to provide an extra layer of assurance that a request was authorized by IAP. For applications running in the App Engine standard environment, use App Engine's Users API instead. """ # [START iap_validate_jwt] import jwt import requests def validate_iap_jwt_from_app_engine(iap_jwt, cloud_project_number, cloud_project_id): """Validate a JWT passed to your App Engine app by Identity-Aware Proxy. Args: iap_jwt: The contents of the X-Goog-IAP-JWT-Assertion header. cloud_project_number: The project *number* for your Google Cloud project. This is returned by 'gcloud projects describe $PROJECT_ID', or in the Project Info card in Cloud Console. cloud_project_id: The project *ID* for your Google Cloud project. Returns: (user_id, user_email, error_str). """ expected_audience = '/projects/{}/apps/{}'.format( cloud_project_number, cloud_project_id) return _validate_iap_jwt(iap_jwt, expected_audience) def validate_iap_jwt_from_compute_engine(iap_jwt, cloud_project_number, backend_service_id): """Validate an IAP JWT for your (Compute|Container) Engine service. Args: iap_jwt: The contents of the X-Goog-IAP-JWT-Assertion header. cloud_project_number: The project *number* for your Google Cloud project. This is returned by 'gcloud projects describe $PROJECT_ID', or in the Project Info card in Cloud Console. backend_service_id: The ID of the backend service used to access the application. See https://cloud.google.com/iap/docs/signed-headers-howto for details on how to get this value. Returns: (user_id, user_email, error_str). """ expected_audience = '/projects/{}/global/backendServices/{}'.format( cloud_project_number, backend_service_id) return _validate_iap_jwt(iap_jwt, expected_audience) def get_iap_key(key_id): """Retrieves a public key from the list published by Identity-Aware Proxy, re-fetching the key file if necessary. """ key_cache = get_iap_key.key_cache key = key_cache.get(key_id) if not key: # Re-fetch the key file. resp = requests.get( 'https://www.gstatic.com/iap/verify/public_key') if resp.status_code != 200: raise Exception( 'Unable to fetch IAP keys: {} / {} / {}'.format( resp.status_code, resp.headers, resp.text)) key_cache = resp.json() get_iap_key.key_cache = key_cache key = key_cache.get(key_id) if not key: raise Exception('Key {!r} not found'.format(key_id)) return key # Used to cache the Identity-Aware Proxy public keys. This code only # refetches the file when a JWT is signed with a key not present in # this cache. get_iap_key.key_cache = {} # [END iap_validate_jwt]
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2.666667
1,425
import os,sys; sys.path.insert(0,os.path.dirname(os.path.dirname(__file__))) from htag import Tag """ This example show you how to make a "Calc App" (with physical buttons + keyboard events) There is no work for rendering the layout ;-) Can't be simpler ! """ if __name__=="__main__": # import logging # logging.basicConfig(format='[%(levelname)-5s] %(name)s: %(message)s',level=logging.DEBUG) # logging.getLogger("htag.tag").setLevel( logging.INFO ) # and execute it in a pywebview instance from htag.runners import * # here is another runner, in a simple browser (thru ajax calls) BrowserHTTP( Calc ).run() # PyWebWiew( Calc ).run()
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2.777778
243
from giraphics.graphing.graph import Graph g = Graph(800,600,8,6, 'example1.svg') g.bg() g.grid() g.axes() g.graph(func) g.save() g.display()
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2.132353
68
from tools.geofunc import GeoFunc import pandas as pd import json def getData(index): '''han,jakobs1,jakobs2 ''' '''shapesshirtswimtrousers''' name=["ga","albano","blaz1","blaz2","dighe1","dighe2","fu","han","jakobs1","jakobs2","mao","marques","shapes","shirts","swim","trousers"] print("",name[index],"") '''''' scale=[100,0.5,100,100,20,20,20,10,20,20,0.5,20,50] print("",scale[index],"") df = pd.read_csv("data/"+name[index]+".csv") polygons=[] for i in range(0,df.shape[0]): for j in range(0,df['num'][i]): poly=json.loads(df['polygon'][i]) GeoFunc.normData(poly,scale[index]) polygons.append(poly) return polygons
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2.06414
343
#from trw.utils import collect_hierarchical_module_name, collect_hierarchical_parameter_name, get_batch_n, to_value, \ # safe_lookup, len_batch from .export import as_image_ui8, as_rgb_image, export_image, export_sample, export_as_image from .table_sqlite import TableStream, SQLITE_TYPE_PATTERN, get_table_number_of_rows from .reporting_bokeh import report, create_default_reporting_options from .reporting_bokeh_samples import PanelDataSamplesTabular
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3
152
############################################################################# # # VFRAME # MIT License # Copyright (c) 2020 Adam Harvey and VFRAME # https://vframe.io # ############################################################################# import click
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5.156863
51
import learndash from learndash.api_resources.abstract import ListableAPIResource from learndash.api_resources.abstract import RetrievableAPIResource from learndash.api_resources.abstract import UpdateableAPIResource from learndash.api_resources.abstract import NestedAPIResource from learndash.api_resources.typing import UserDict from learndash.api_resources.typing import UserCourseProgressDict from learndash.api_resources.typing import UserCourseDict from learndash.api_resources.typing import UserGroupDict from learndash.api_resources.typing import UserQuizProgressDict # class UserCourseProgressSteps(ListableAPIResource, NestedAPIResource):
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3.272277
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"""The module defines the abstract interface for resolving container images for tool execution.""" from abc import ( ABCMeta, abstractmethod, abstractproperty, ) import six from galaxy.util.dictifiable import Dictifiable
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3.746032
63
#!/usr/bin/env python3 import glob import os import pandas as pd import dfs SRC_DIR = f"{dfs.get_data_dir()}/adhd_sin_orig" OUT_DIR = f"{dfs.get_data_dir()}/adhd_sin" if __name__ == '__main__': files = glob.glob(f"{SRC_DIR}/*.csv") file_names = list(map(os.path.basename, files)) for file_name in file_names: df: pd.DataFrame = pd.read_csv(f'{SRC_DIR}/{file_name}').set_index('EyeTrackerTimestamp').sort_index()[ ['GazePointX (ADCSpx)', 'GazePointY (ADCSpx)', 'PupilLeft', 'PupilRight']].reset_index() df.columns = ['t', 'x', 'y', 'dl', 'dr'] # fill blanks (order=interpolate(inter)->bfill+ffill(edges))->zerofill df = df.apply(lambda x: x.interpolate().fillna(method="bfill").fillna(method="ffill")).fillna(0) df['x'] = df['x'] / 1920 df['y'] = df['y'] / 1080 df['d'] = (df['dl'] + df['dr']) / 2 # start with t=0, and set unit to ms df['t'] = (df['t'] - df['t'].min()) / 1000 df = df[['t', 'x', 'y', 'd']].round(6).set_index('t') df.to_csv(f'{OUT_DIR}/{file_name}') print(f'Processed: {file_name}')
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2.13
500
import pandas as pd import numpy as np import matplotlib.pyplot as plt import os import matplotlib.pyplot as plt import CurveFit import shutil #find all DIRECTORIES containing non-hidden files ending in FILENAME #get all non-hidden data files in DIRECTORY with extension EXT #checking if loss ever doesn't decrease for numEpochs epochs in a row. #dirpath is where the accuracy and loss files are stored. want to move the files into the same format expected by grabNNData. #a function to read in information (e.g. accuracy, loss) stored at FILENAME #slice data could be used to test values of E other than E=0.5, which we use by default
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3.386598
194
# '(',')','{','}','['']',"()""()[]{}""(]""([)]" # @param s string # @return bool #
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1.754386
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import os.path import time import logging import yaml from piecrust.processing.base import Processor logger = logging.getLogger(__name__)
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3.404762
42
from src.events import Event
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4.142857
7
import FWCore.ParameterSet.Config as cms # # module to make the MaxSumPtWMass jet combination # findTtSemiLepJetCombMaxSumPtWMass = cms.EDProducer("TtSemiLepJetCombMaxSumPtWMass", ## jet input jets = cms.InputTag("selectedPatJets"), ## lepton input leps = cms.InputTag("selectedPatMuons"), ## maximum number of jets to be considered maxNJets = cms.int32(4), ## nominal WMass parameter (in GeV) wMass = cms.double(80.4), ## use b-tagging two distinguish between light and b jets useBTagging = cms.bool(False), ## choose algorithm for b-tagging bTagAlgorithm = cms.string("trackCountingHighEffBJetTags"), ## minimum b discriminator value required for b jets and ## maximum b discriminator value allowed for non-b jets minBDiscBJets = cms.double(1.0), maxBDiscLightJets = cms.double(3.0) )
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2.610272
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#!/usr/bin/env python #-*- coding:utf-8 -*- __all__ = ["args", "colors", "libcolors", "routine"] __version__ = "0.96"
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2.203704
54
from baopig.pybao.objectutilities import Object from baopig.pybao.issomething import * # TODO : ButtonRessourcePack.style.create_surface(size) ressources = _RessourcePack()
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2.828125
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#!/usr/bin/python2.7 """ Extract unique set of station locations (and names) along with number of obs RJHD - Exeter - October 2017 """ # ECMWF import defaults import traceback import sys from eccodes import * # RJHD imports import cartopy import numpy as np import matplotlib as mpl mpl.use('Agg') import matplotlib.pyplot as plt import gc VERBOSE = 1 # verbose error reporting. ATTRS = [ 'code', 'units', 'scale', 'reference', 'width' ] INTMDI = 2147483647 #*************************************************** #*************************************************** def scatter_map(outname, data, lons, lats, cmap, bounds, cb_label, title = "", figtext = "", doText = False): ''' Standard scatter map :param str outname: output filename root :param array data: data to plot :param array lons: longitudes :param array lats: latitudes :param obj cmap: colourmap to use :param array bounds: bounds for discrete colormap :param str cb_label: colorbar label ''' norm=mpl.cm.colors.BoundaryNorm(bounds,cmap.N) fig = plt.figure(figsize =(10,6.5)) plt.clf() ax = plt.axes([0.05, 0.10, 0.90, 0.90], projection=cartopy.crs.Robinson()) ax.gridlines() #draw_labels=True) ax.add_feature(cartopy.feature.LAND, zorder = 0, facecolor = "0.9", edgecolor = "k") ax.coastlines() ext = ax.get_extent() # save the original extent scatter = plt.scatter(lons, lats, c = data, cmap = cmap, norm = norm, s=10, \ transform = cartopy.crs.Geodetic(), edgecolor = "r", linewidth = 0.1) cb=plt.colorbar(scatter, orientation = 'horizontal', pad = 0.05, fraction = 0.05, \ aspect = 30, ticks = bounds[1:-1], label = cb_label, drawedges=True) # thicken border of colorbar and the dividers # http://stackoverflow.com/questions/14477696/customizing-colorbar-border-color-on-matplotlib # cb.set_ticklabels(["{:g}".format(b) for b in bounds[1:-1]]) # cb.outline.set_color('k') # cb.outline.set_linewidth(2) cb.dividers.set_color('k') cb.dividers.set_linewidth(2) ax.set_extent(ext, ax.projection) # fix the extent change from colormesh plt.title(title) if doText: plt.text(0.01, 0.98, "#stations: {}".format(data.shape[0]), transform = ax.transAxes, fontsize = 10) plt.savefig(outname) plt.close() return # scatter_map #*************************************************** #*************************************************** if __name__ == "__main__": import argparse # set up keyword arguments parser = argparse.ArgumentParser() parser.add_argument('--ms', dest='ms', action='store', default = "era40_", help='Run on ERA40 ["era40_"] (default) or ERA-I ["erai_"] data') parser.add_argument('--year', dest='year', action='store', default = 1980, help='Which year to process - default 1980') args = parser.parse_args() main(ms = args.ms, year = args.year) sys.exit() #*************************************************** # END #***************************************************
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2.585784
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from libsaas import http, parsers from libsaas.services import base from libsaas.services.twilio import resource
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3.324324
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# Copyright 2021 Huawei Technologies Co., Ltd # # 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. # ============================================================================ """ postprocess. """ import os import argparse import numpy as np from src.ms_utils import calculate_auc from mindspore import context, load_checkpoint def score_model(preds, test_pos, test_neg, weight, bias): """ Score the model on the test set edges in each epoch. Args: epoch (LongTensor): Training epochs. Returns: auc(Float32): AUC result. f1(Float32): F1-Score result. """ score_positive_edges = np.array(test_pos, dtype=np.int32).T score_negative_edges = np.array(test_neg, dtype=np.int32).T test_positive_z = np.concatenate((preds[score_positive_edges[0, :], :], preds[score_positive_edges[1, :], :]), axis=1) test_negative_z = np.concatenate((preds[score_negative_edges[0, :], :], preds[score_negative_edges[1, :], :]), axis=1) # operands could not be broadcast together with shapes (4288,128) (128,3) scores = np.dot(np.concatenate((test_positive_z, test_negative_z), axis=0), weight) + bias probability_scores = np.exp(softmax(scores)) predictions = probability_scores[:, 0]/probability_scores[:, 0:2].sum(1) # predictions = predictions.asnumpy() targets = [0]*len(test_pos) + [1]*len(test_neg) auc, f1 = calculate_auc(targets, predictions) return auc, f1 def get_acc(): """get infer Accuracy.""" parser = argparse.ArgumentParser(description='postprocess') parser.add_argument('--dataset_name', type=str, default='bitcoin-otc', choices=['bitcoin-otc', 'bitcoin-alpha'], help='dataset name') parser.add_argument('--result_path', type=str, default='./ascend310_infer/input/', help='result Files') parser.add_argument('--label_path', type=str, default='', help='y_test npy Files') parser.add_argument('--mask_path', type=str, default='', help='test_mask npy Files') parser.add_argument("--checkpoint_file", type=str, default='sgcn_alpha_f1.ckpt', help="Checkpoint file path.") parser.add_argument("--edge_path", nargs="?", default="./input/bitcoin_alpha.csv", help="Edge list csv.") parser.add_argument("--features-path", nargs="?", default="./input/bitcoin_alpha.csv", help="Edge list csv.") parser.add_argument("--test-size", type=float, default=0.2, help="Test dataset size. Default is 0.2.") parser.add_argument("--seed", type=int, default=42, help="Random seed for sklearn pre-training. Default is 42.") parser.add_argument("--spectral-features", default=True, dest="spectral_features", action="store_true") parser.add_argument("--reduction-iterations", type=int, default=30, help="Number of SVD iterations. Default is 30.") parser.add_argument("--reduction-dimensions", type=int, default=64, help="Number of SVD feature extraction dimensions. Default is 64.") args_opt = parser.parse_args() # Runtime context.set_context(mode=context.GRAPH_MODE, device_target='Ascend', device_id=0) # Create network test_pos = np.load(os.path.join(args_opt.result_path, 'pos_test.npy')) test_neg = np.load(os.path.join(args_opt.result_path, 'neg_test.npy')) # Load parameters from checkpoint into network param_dict = load_checkpoint(args_opt.checkpoint_file) print(type(param_dict)) print(param_dict) print(type(param_dict['regression_weights'])) print(param_dict['regression_weights']) # load_param_into_net(net, param_dict) pred = np.fromfile('./result_Files/repos_0.bin', np.float32) if args_opt.dataset_name == 'bitcoin-otc': pred = pred.reshape(5881, 64) else: pred = pred.reshape(3783, 64) auc, f1 = score_model(pred, test_pos, test_neg, param_dict['regression_weights'].asnumpy(), param_dict['regression_bias'].asnumpy()) print("Test set results:", "auc=", "{:.5f}".format(auc), "f1=", "{:.5f}".format(f1)) if __name__ == '__main__': get_acc()
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import re import numpy as np from collections import OrderedDict import pykeops import pykeops.config ############################################################ # define backend ############################################################ def get_tag_backend(backend, variables, str = False): """ entry point to get the correct backend """ res = SetBackend() if not str: return res.define_tag_backend(backend, variables) else: return res.define_backend(backend, variables)
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"""Prepare acoustic features for one-to-one voice conversion. usage: prepare_features_vc.py [options] <DATA_ROOT> <source_speaker> <target_speaker> options: --max_files=<N> Max num files to be collected. [default: 100] --dst_dir=<d> Destination directory [default: data/cmu_arctic_vc]. --overwrite Overwrite files. -h, --help show this help message and exit """ from __future__ import division, print_function, absolute_import from docopt import docopt import numpy as np from nnmnkwii.datasets import FileSourceDataset from nnmnkwii import preprocessing as P from nnmnkwii.preprocessing.alignment import DTWAligner from nnmnkwii.datasets import cmu_arctic, voice_statistics, vcc2016 import pysptk import pyworld from scipy.io import wavfile from tqdm import tqdm from os.path import basename, splitext, exists, expanduser, join, dirname import os import sys from hparams import vc as hp from hparams import hparams_debug_string # vcc2016.WavFileDataSource and voice_statistics.WavFileDataSource can be # drop-in replacement. See below for details: # https://r9y9.github.io/nnmnkwii/latest/references/datasets.html#builtin-data-sources if __name__ == "__main__": args = docopt(__doc__) print("Command line args:\n", args) DATA_ROOT = args["<DATA_ROOT>"] source_speaker = args["<source_speaker>"] target_speaker = args["<target_speaker>"] max_files = int(args["--max_files"]) dst_dir = args["--dst_dir"] overwrite = args["--overwrite"] print(hparams_debug_string(hp)) X_dataset = FileSourceDataset(MGCSource(DATA_ROOT, [source_speaker], max_files=max_files)) Y_dataset = FileSourceDataset(MGCSource(DATA_ROOT, [target_speaker], max_files=max_files)) skip_feature_extraction = exists(join(dst_dir, "X")) \ and exists(join(dst_dir, "Y")) if overwrite: skip_feature_extraction = False if skip_feature_extraction: print("Features seems to be prepared, skipping feature extraction.") sys.exit(0) # Create dirs for speaker, name in [(source_speaker, "X"), (target_speaker, "Y")]: d = join(dst_dir, name) print("Destination dir for {}: {}".format(speaker, d)) if not exists(d): os.makedirs(d) # Convert to arrays print("Convert datasets to arrays") X, Y = X_dataset.asarray(verbose=1), Y_dataset.asarray(verbose=1) # Alignment print("Perform alignment") X, Y = DTWAligner().transform((X, Y)) print("Save features to disk") for idx, (x, y) in tqdm(enumerate(zip(X, Y))): # paths src_name = splitext(basename(X_dataset.collected_files[idx][0]))[0] tgt_name = splitext(basename(Y_dataset.collected_files[idx][0]))[0] src_path = join(dst_dir, "X", src_name) tgt_path = join(dst_dir, "Y", tgt_name) # Trim and ajast frames x = P.trim_zeros_frames(x) y = P.trim_zeros_frames(y) x, y = P.adjust_frame_lengths(x, y, pad=True, divisible_by=2) # Save np.save(src_path, x) np.save(tgt_path, y)
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# Copyright 2018-2021 Streamlit 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 json import pandas as pd import pydeck as pdk from tests import testutil import streamlit as st import streamlit.elements.deck_gl_json_chart as deck_gl_json_chart df1 = pd.DataFrame({"lat": [1, 2, 3, 4], "lon": [10, 20, 30, 40]})
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# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You 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. # """Tools used by BigQuery sources and sinks. Classes, constants and functions in this file are experimental and have no backwards compatibility guarantees. These tools include wrappers and clients to interact with BigQuery APIs. NOTHING IN THIS FILE HAS BACKWARDS COMPATIBILITY GUARANTEES. """ from __future__ import absolute_import import datetime import decimal import json import logging import re import sys import time import uuid from builtins import object from future.utils import iteritems from apache_beam import coders from apache_beam.internal.gcp import auth from apache_beam.internal.gcp.json_value import from_json_value from apache_beam.internal.gcp.json_value import to_json_value from apache_beam.internal.http_client import get_new_http from apache_beam.io.gcp.internal.clients import bigquery from apache_beam.options import value_provider from apache_beam.options.pipeline_options import GoogleCloudOptions from apache_beam.runners.dataflow.native_io import iobase as dataflow_io from apache_beam.transforms import DoFn from apache_beam.utils import retry # Protect against environments where bigquery library is not available. # pylint: disable=wrong-import-order, wrong-import-position try: from apitools.base.py.exceptions import HttpError except ImportError: pass # pylint: enable=wrong-import-order, wrong-import-position MAX_RETRIES = 3 JSON_COMPLIANCE_ERROR = 'NAN, INF and -INF values are not JSON compliant.' def get_hashable_destination(destination): """Parses a table reference into a (project, dataset, table) tuple. Args: destination: Either a TableReference object from the bigquery API. The object has the following attributes: projectId, datasetId, and tableId. Or a string representing the destination containing 'PROJECT:DATASET.TABLE'. Returns: A string representing the destination containing 'PROJECT:DATASET.TABLE'. """ if isinstance(destination, bigquery.TableReference): return '%s:%s.%s' % ( destination.projectId, destination.datasetId, destination.tableId) else: return destination def parse_table_schema_from_json(schema_string): """Parse the Table Schema provided as string. Args: schema_string: String serialized table schema, should be a valid JSON. Returns: A TableSchema of the BigQuery export from either the Query or the Table. """ json_schema = json.loads(schema_string) def _parse_schema_field(field): """Parse a single schema field from dictionary. Args: field: Dictionary object containing serialized schema. Returns: A TableFieldSchema for a single column in BigQuery. """ schema = bigquery.TableFieldSchema() schema.name = field['name'] schema.type = field['type'] if 'mode' in field: schema.mode = field['mode'] else: schema.mode = 'NULLABLE' if 'description' in field: schema.description = field['description'] if 'fields' in field: schema.fields = [_parse_schema_field(x) for x in field['fields']] return schema fields = [_parse_schema_field(f) for f in json_schema['fields']] return bigquery.TableSchema(fields=fields) def parse_table_reference(table, dataset=None, project=None): """Parses a table reference into a (project, dataset, table) tuple. Args: table: The ID of the table. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). If dataset argument is None then the table argument must contain the entire table reference: 'DATASET.TABLE' or 'PROJECT:DATASET.TABLE'. This argument can be a bigquery.TableReference instance in which case dataset and project are ignored and the reference is returned as a result. Additionally, for date partitioned tables, appending '$YYYYmmdd' to the table name is supported, e.g. 'DATASET.TABLE$YYYYmmdd'. dataset: The ID of the dataset containing this table or null if the table reference is specified entirely by the table argument. project: The ID of the project containing this table or null if the table reference is specified entirely by the table (and possibly dataset) argument. Returns: A TableReference object from the bigquery API. The object has the following attributes: projectId, datasetId, and tableId. Raises: ValueError: if the table reference as a string does not match the expected format. """ if isinstance(table, bigquery.TableReference): return table elif callable(table): return table elif isinstance(table, value_provider.ValueProvider): return table table_reference = bigquery.TableReference() # If dataset argument is not specified, the expectation is that the # table argument will contain a full table reference instead of just a # table name. if dataset is None: match = re.match( r'^((?P<project>.+):)?(?P<dataset>\w+)\.(?P<table>[\w\$]+)$', table) if not match: raise ValueError( 'Expected a table reference (PROJECT:DATASET.TABLE or ' 'DATASET.TABLE) instead of %s.' % table) table_reference.projectId = match.group('project') table_reference.datasetId = match.group('dataset') table_reference.tableId = match.group('table') else: table_reference.projectId = project table_reference.datasetId = dataset table_reference.tableId = table return table_reference # ----------------------------------------------------------------------------- # BigQueryWrapper. def perform_load_job(self, destination, files, job_id, schema=None, write_disposition=None, create_disposition=None): """Starts a job to load data into BigQuery. Returns: bigquery.JobReference with the information about the job that was started. """ return self._insert_load_job( destination.projectId, job_id, destination, files, schema=schema, create_disposition=create_disposition, write_disposition=write_disposition) def insert_rows(self, project_id, dataset_id, table_id, rows, skip_invalid_rows=False): """Inserts rows into the specified table. Args: project_id: The project id owning the table. dataset_id: The dataset id owning the table. table_id: The table id. rows: A list of plain Python dictionaries. Each dictionary is a row and each key in it is the name of a field. skip_invalid_rows: If there are rows with insertion errors, whether they should be skipped, and all others should be inserted successfully. Returns: A tuple (bool, errors). If first element is False then the second element will be a bigquery.InserttErrorsValueListEntry instance containing specific errors. """ # Prepare rows for insertion. Of special note is the row ID that we add to # each row in order to help BigQuery avoid inserting a row multiple times. # BigQuery will do a best-effort if unique IDs are provided. This situation # can happen during retries on failures. # TODO(silviuc): Must add support to writing TableRow's instead of dicts. final_rows = [] for row in rows: json_object = bigquery.JsonObject() for k, v in iteritems(row): if isinstance(v, decimal.Decimal): # decimal values are converted into string because JSON does not # support the precision that decimal supports. BQ is able to handle # inserts into NUMERIC columns by receiving JSON with string attrs. v = str(v) json_object.additionalProperties.append( bigquery.JsonObject.AdditionalProperty( key=k, value=to_json_value(v))) final_rows.append( bigquery.TableDataInsertAllRequest.RowsValueListEntry( insertId=str(self.unique_row_id), json=json_object)) result, errors = self._insert_all_rows( project_id, dataset_id, table_id, final_rows, skip_invalid_rows) return result, errors def _convert_cell_value_to_dict(self, value, field): if field.type == 'STRING': # Input: "XYZ" --> Output: "XYZ" return value elif field.type == 'BOOLEAN': # Input: "true" --> Output: True return value == 'true' elif field.type == 'INTEGER': # Input: "123" --> Output: 123 return int(value) elif field.type == 'FLOAT': # Input: "1.23" --> Output: 1.23 return float(value) elif field.type == 'TIMESTAMP': # The UTC should come from the timezone library but this is a known # issue in python 2.7 so we'll just hardcode it as we're reading using # utcfromtimestamp. # Input: 1478134176.985864 --> Output: "2016-11-03 00:49:36.985864 UTC" dt = datetime.datetime.utcfromtimestamp(float(value)) return dt.strftime('%Y-%m-%d %H:%M:%S.%f UTC') elif field.type == 'BYTES': # Input: "YmJi" --> Output: "YmJi" return value elif field.type == 'DATE': # Input: "2016-11-03" --> Output: "2016-11-03" return value elif field.type == 'DATETIME': # Input: "2016-11-03T00:49:36" --> Output: "2016-11-03T00:49:36" return value elif field.type == 'TIME': # Input: "00:49:36" --> Output: "00:49:36" return value elif field.type == 'RECORD': # Note that a schema field object supports also a RECORD type. However # when querying, the repeated and/or record fields are flattened # unless we pass the flatten_results flag as False to the source return self.convert_row_to_dict(value, field) elif field.type == 'NUMERIC': return decimal.Decimal(value) elif field.type == 'GEOGRAPHY': return value else: raise RuntimeError('Unexpected field type: %s' % field.type) def convert_row_to_dict(self, row, schema): """Converts a TableRow instance using the schema to a Python dict.""" result = {} for index, field in enumerate(schema.fields): value = None if isinstance(schema, bigquery.TableSchema): cell = row.f[index] value = from_json_value(cell.v) if cell.v is not None else None elif isinstance(schema, bigquery.TableFieldSchema): cell = row['f'][index] value = cell['v'] if 'v' in cell else None if field.mode == 'REPEATED': if value is None: # Ideally this should never happen as repeated fields default to # returning an empty list result[field.name] = [] else: result[field.name] = [self._convert_cell_value_to_dict(x['v'], field) for x in value] elif value is None: if not field.mode == 'NULLABLE': raise ValueError('Received \'None\' as the value for the field %s ' 'but the field is not NULLABLE.' % field.name) result[field.name] = None else: result[field.name] = self._convert_cell_value_to_dict(value, field) return result # ----------------------------------------------------------------------------- # BigQueryReader, BigQueryWriter.
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2.820056
4,268
#----------------------------------------------------------------------------- # Copyright (c) 2005-2017, PyInstaller Development Team. # # Distributed under the terms of the GNU General Public License with exception # for distributing bootloader. # # The full license is in the file COPYING.txt, distributed with this software. #----------------------------------------------------------------------------- import os from PyInstaller.utils.hooks import ( get_module_attribute, is_module_satisfies, qt_menu_nib_dir, get_module_file_attribute, collect_data_files) from PyInstaller.compat import getsitepackages, is_darwin, is_win # On Windows system PATH has to be extended to point to the PyQt5 directory. # The PySide directory contains Qt dlls. We need to avoid including different # version of Qt libraries when there is installed another application (e.g. QtCreator) if is_win: from PyInstaller.utils.win32.winutils import extend_system_path extend_system_path([os.path.join(x, 'PyQt5') for x in getsitepackages()]) extend_system_path([os.path.join(os.path.dirname(get_module_file_attribute('PyQt5')), 'Qt', 'bin')]) # In the new consolidated mode any PyQt depends on _qt hiddenimports = ['sip', 'PyQt5.Qt'] # Collect just the qt.conf file. datas = [x for x in collect_data_files('PyQt5', False, os.path.join('Qt', 'bin')) if x[0].endswith('qt.conf')] # For Qt<5.4 to work on Mac OS X it is necessary to include `qt_menu.nib`. # This directory contains some resource files necessary to run PyQt or PySide # app. if is_darwin: # Version of the currently installed Qt 5.x shared library. qt_version = get_module_attribute('PyQt5.QtCore', 'QT_VERSION_STR') if is_module_satisfies('Qt < 5.4', qt_version): datas = [(qt_menu_nib_dir('PyQt5'), '')]
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2.974152
619
from vyper import ast as vy_ast
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2.642857
14
# -*- coding: utf-8 -*- from .__module__ import Module, dependency, source, version from .tools import Tools from .boost import Boost from .python import Python
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3.521739
46
#!/usr/bin/python import sys import copy stage_length = 16 stage = map(chr, range(ord('a'),ord('a')+stage_length)) def spin(amount): """To save time, this function isn't used except at the end. Normally, a counter marks the start of the stage and this changes instead. """ global stage stage = stage[amount:] + stage[:amount] with open(sys.argv[1], 'rt') as f: program = ",".join(f.readlines()).split(",") n = 0 pos = 0 arguments_list = [x[1:].strip().split("/") for x in program] action_list = [x[0] for x in program] history = [] # Change this to 1 for the solution to part 1. iterations = 1000000000 while n<iterations: for s in range(0,len(program)): arguments = arguments_list[s] if action_list[s] == 's': pos += stage_length-int(arguments[0]) elif action_list[s] == 'x': swap((int(arguments[0])+pos)%stage_length, (int(arguments[1])+pos)%stage_length) elif action_list[s] == 'p': pos1 = stage.index(arguments[0]) pos2 = stage.index(arguments[1]) swap(pos1, pos2) if stage in history: print("Duplicate found: %r at index %d matches at stage %d"%(stage, history.index(stage), n)) loop_length = n - history.index(stage) complete_cycles = (iterations - n) / loop_length n += complete_cycles * loop_length history.append(copy.copy(stage)) n += 1 spin(pos % stage_length) print "".join(stage)
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2.403941
609
import numpy as np from numpy.testing import assert_equal, assert_array_equal from nose.tools import assert_greater from skimage.segmentation import felzenszwalb if __name__ == '__main__': from numpy import testing testing.run_module_suite()
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3.135802
81
from masonite.request import Request from masonite.view import View from masonite.auth.Csrf import Csrf from masonite.app import App from masonite.middleware import CsrfMiddleware from masonite.testsuite.TestSuite import generate_wsgi import pytest from masonite.exceptions import InvalidCSRFToken
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3.25
92
from pyramid.view import view_config import os
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3.769231
13
# -*- coding: utf-8 -*- ########################################################################### # Copyright (c), The AiiDA team. All rights reserved. # # This file is part of the AiiDA code. # # # # The code is hosted on GitHub at https://github.com/aiidateam/aiida-core # # For further information on the license, see the LICENSE.txt file # # For further information please visit http://www.aiida.net # ########################################################################### # pylint: disable=too-many-lines """Unittests for REST API.""" import tempfile from flask_cors.core import ACL_ORIGIN from aiida import orm from aiida.backends.testbase import AiidaTestCase from aiida.common import json from aiida.common.links import LinkType from aiida.restapi.run_api import configure_api
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2.565217
368
"""Process Monitor Usage: processmonitor.py <process_name> <overall_duration> [<sampling_interval>] processmonitor.py -h|--help processmonitor.py -v|--version Options: <process_name> Process name argument. <overall_duration> Overall duration of the monitoring in seconds. <sampling_interval> Sampling interval in seconds (optional, default 5). -h --help Show this screen. -v --version Show version. """ from docopt import docopt from utils import string_to_integer from process import Process from threading import Event, Thread from datetime import datetime import os import sys import csv import time from enum import IntEnum init()
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3.262136
206
import os import re import numpy as np from Projects.DeepLearningTechniques.MobileNet_v2.tiny_imagenet.constants import *
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3.297297
37
#!/usr/bin/env python3 # Command line flags import os import glob import re import pyinotify import subprocess from sys import stdout, stderr from time import time, sleep from tempfile import gettempdir from distutils.dir_util import copy_tree from shutil import copyfile from weasyprint import HTML import argparse parser = argparse.ArgumentParser( description='Converts Markdown to elegant PDF reports') parser.add_argument('--basic', dest='basic', action='store_true', help='Do not enrich HTML with LaTeX and syntax highlighting (faster builds)') parser.add_argument('--watch', dest='watch', action='store_true', help='Watch the current folder for changes and rebuild automatically') parser.add_argument('--quiet', dest='quiet', action='store_true', help='Do not output any information') parser.add_argument("--timeout", type=int, default=2, help='Page generation timeout') parser.add_argument("--base-html", type=str, default="", help='The path to the base HTML file') parser.set_defaults(watch=False) args = parser.parse_args() # Check directory ok = False for file in os.listdir("."): if file.endswith(".md"): ok = True break if not ok: stderr.write("No markdown file found in the current folder") exit(1) if args.base_html != "": if not os.path.isfile(args.base_html): stderr.write("The given base HTML file doesn't exist") exit(1) script_path = os.path.dirname(os.path.realpath(__file__)) # Temp dir timestamp = str(int(time())) tmp_dir = gettempdir() + "/" + timestamp + "_md-report/" os.makedirs(tmp_dir, exist_ok=True) # Headless browser if not args.basic: from selenium import webdriver from selenium.webdriver.firefox.options import Options from selenium.webdriver.common.desired_capabilities import DesiredCapabilities options = Options() options.headless = True options.log.level = "trace" d = DesiredCapabilities.FIREFOX d['loggingPrefs'] = {'browser': 'ALL'} driver = webdriver.Firefox(options=options, capabilities=d) driver.set_page_load_timeout(args.timeout) prev_compile_time = 0 recompile(None) if not args.watch: if not args.basic: driver.quit() exit(0) watch_manager = pyinotify.WatchManager() event_notifier = pyinotify.Notifier(watch_manager, recompile) watch_manager.add_watch(os.path.abspath("."), pyinotify.ALL_EVENTS, rec=True) event_notifier.loop() if not args.basic: driver.quit()
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2.707758
941
# https://www.acmicpc.net/problem/13023 import sys sys.setrecursionlimit(999999999) if __name__ == '__main__': input = __import__('sys').stdin.readline target_depth = 4 N, M = map(int, input().split()) graph = [list() for _ in range(N)] for _ in range(M): a, b = map(int, input().split()) graph[a].append(b) graph[b].append(a) print(dfs_all())
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2.254237
177
"""bst: BigchainDB Sharing Tools""" from setuptools import setup, find_packages install_requires = [ 'base58~=0.2.2', 'PyNaCl~=1.1.0', 'bigchaindb-driver', 'click==6.7', 'colorama', ] setup( name='bst', version='0.1.0', description='bst: BigchainDB Sharing Tools', long_description=( 'A collection of scripts with different patterns to share' 'private data on BigchainDB.'), url='https://github.com/vrde/bst/', author='Alberto Granzotto', author_email='alberto@bigchaindb.com', license='AGPLv3', zip_safe=False, classifiers=[ 'Development Status :: 3 - Alpha', 'Intended Audience :: Developers', 'Topic :: Database', 'Topic :: Database :: Database Engines/Servers', 'Topic :: Software Development', 'Natural Language :: English', 'License :: OSI Approved :: GNU Affero General Public License v3', 'Programming Language :: Python :: 3 :: Only', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Operating System :: MacOS :: MacOS X', 'Operating System :: POSIX :: Linux', ], packages=find_packages(), entry_points={ 'console_scripts': [ 'bst=bst.cli:main' ], }, install_requires=install_requires )
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2.455696
553
from django.contrib import admin from db.models.job_resources import JobResources admin.site.register(JobResources)
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3.575758
33
import numpy as np import sklearn import subprocess from sklearn import model_selection, tree import data import feature_selection import model_sel import os import matplotlib.pyplot as plt import seaborn as sns def separate_weights(X_train, column_names): """ Removes the column containing weights from X_train, and returns it as a separate array. """ weight_column_idx = column_names.index('weight') weights = X_train[:, weight_column_idx] new_X_train = np.delete(X_train, weight_column_idx, axis=1) new_questions = column_names new_questions.remove('weight') return new_X_train, weights, new_questions if __name__ == "__main__": main()
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2.875
240
import smart_imports smart_imports.all()
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2.611111
18
"""Dummy model needed for tests.""" pass
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3.416667
12
# This file is part of postcipes # (c) Timofey Mukha # The code is released under the MIT Licence. # See LICENCE.txt and the Legal section in the README for more information from __future__ import absolute_import from __future__ import division from __future__ import print_function from .postcipe import Postcipe import turbulucid as tbl from scipy.interpolate import interp1d import numpy as np import h5py __all__ = ["HydraulicJump"]
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3.333333
132
from cc3d.core.PySteppables import * from cc3d import CompuCellSetup from random import random
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from aesara.compile import optdb from aesara.graph.opt import GraphToGPULocalOptGroup, TopoOptimizer, local_optimizer from aesara.graph.optdb import ( EquilibriumDB, LocalGroupDB, OptimizationDatabase, SequenceDB, ) gpu_optimizer = EquilibriumDB() gpu_cut_copies = EquilibriumDB() # Not used for an EquilibriumOptimizer. It has the "tracks" that we need for GraphToGPUDB. gpu_optimizer2 = EquilibriumDB() gpu_seqopt = SequenceDB() # do not add 'fast_run' to these two as this would always enable gpuarray mode optdb.register( "gpuarray_opt", gpu_seqopt, optdb.__position__.get("add_destroy_handler", 49.5) - 1, "gpuarray", ) pool_db = LocalGroupDB() pool_db2 = LocalGroupDB(local_opt=GraphToGPULocalOptGroup) pool_db2.__name__ = "pool_db2" matrix_ops_db = LocalGroupDB() matrix_ops_db2 = LocalGroupDB(local_opt=GraphToGPULocalOptGroup) matrix_ops_db2.__name__ = "matrix_ops_db2" abstract_batch_norm_db = LocalGroupDB() abstract_batch_norm_db2 = LocalGroupDB(local_opt=GraphToGPULocalOptGroup) abstract_batch_norm_db2.__name__ = "abstract_batch_norm_db2" abstract_batch_norm_groupopt = LocalGroupDB() abstract_batch_norm_groupopt.__name__ = "gpuarray_batchnorm_opts" def register_opt2(tracks, *tags, **kwargs): """ Decorator for the new GraphToGPU optimizer. Takes an extra parameter(Op) compared to register_opt decorator. Parameters ---------- tracks : List of Op class Or Op instance or None The Node's Op to which optimization is being applied. tags : String The optimization tag to which the optimizer will be registered. """ return f # Register GPU convolution implementation # They are tried in a specific order so we can control # which ones take precedence over others. abstractconv_groupopt = LocalGroupDB() abstractconv_groupopt.__name__ = "gpuarray_abstractconv_opts" register_opt("fast_compile")(abstractconv_groupopt)
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2.842878
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""" Module for jenkinsapi Node class """ from jenkinsapi.jenkinsbase import JenkinsBase from jenkinsapi.custom_exceptions import PostRequired import logging try: from urllib import quote as urlquote except ImportError: # Python3 from urllib.parse import quote as urlquote log = logging.getLogger(__name__)
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## # This software was developed and / or modified by Raytheon Company, # pursuant to Contract DG133W-05-CQ-1067 with the US Government. # # U.S. EXPORT CONTROLLED TECHNICAL DATA # This software product contains export-restricted data whose # export/transfer/disclosure is restricted by U.S. law. Dissemination # to non-U.S. persons whether in the United States or abroad requires # an export license or other authorization. # # Contractor Name: Raytheon Company # Contractor Address: 6825 Pine Street, Suite 340 # Mail Stop B8 # Omaha, NE 68106 # 402.291.0100 # # See the AWIPS II Master Rights File ("Master Rights File.pdf") for # further licensing information. ## # ---------------------------------------------------------------------------- # # SOFTWARE HISTORY # # Date Ticket# Engineer Description # ------------ ---------- ----------- -------------------------- # 05/07/2015 4027 randerso Migrated A1 OB9.16 code to A2 # 06/17/2015 4027 dgilling Perform case-insensitive # comparisons in foundCTAs. # 07/13/2015 4648 randerso Fix bullets in follow up products # 02/24/2016 5411 randerso Make bullet headers upper case # 07/15/2016 5749 randerso Replaced ellipses with commas in hazardBodyText # ## # This is a base file that is not intended to be overridden. ## #------------------------------------------------------------------------- # Description: This product is a template for creating Hazard Products. #------------------------------------------------------------------------- # Copying: # This software is in the public domain, furnished "as is", without technical # support, and with no warranty, express or implied, as to its usefulness for # any purpose. #------------------------------------------------------------------------- # Standard and Local file names and Locations: # GenericHazards #------------------------------------------------------------------------- # Customization Points: # # DEFINITION SECTION # # Required Configuration Items: # # displayName If not None, defines how product appears in GFE GUI # # You must set the following: # # productName defines name of product e.g. "Zone Forecast Product" # fullStationID Full station identifier, 4 letter, such as "KSLC". # wmoID WMO ID code for product header, such as "FOUS45" # pil Product pil, such as "SFTBOS" # areaName (opt.) Area name for product header, such as "Western New York" # wfoCityState City,state that the WFO is located in, such as "Buffalo NY" # # Optional Configuration Items # # mapNameForCombinations Name of the map background that is used for # creating/editing the combinations file. This must # be defined or the GFE zone combiner # database Source database for product. Can be "Official", # "Fcst" or "ISC" # outputFile Defines the output location of the finished product. # Product is saved if autoWrite is 1. # debug If on, debug_print statements will appear. # textdbPil Defines the awips product identifier # (e.g., DENCCFDEN) that is used to store the product # in the AWIPS text database. The product is not # automatically stored unless autoStore is 1. This # value is also used for the default GUI entry for # storage. # awipsWANPil Defines the awips product identifier # (e.g., KBOUCCFDEN) that is used to transmit the # product to the AWIPS WAN. The product is not # automatically transmitted unless autoSend is 1. # This value is also used for the default GUI # entry for storage. # autoSend If set to 1, then the product will be automatically # sent on the AWIPS WAN to the "autoSendAddress" with # the "awipsWANPil after product creation. # autoStore If set to 1, then the product will be automatically # stored into the text database using the "textdbPil" # after product creation. # autoWrite If set to 1, then the product will be automatically # written to the "output" named disk file after # product creation. # # lineLength max length of each line # # defaultEditAreas defines edit areas, default is Combinations # # purgeTime Maximum number of hours past issuance time for the # expire time. # includeCities If 1, cities will be included in the area header # accurateCities If 1, cities are determined from grids # citiesPhrase "Including the cities of" phrase used when including # cities # includeZoneNames If 1, zone names will be included in the area header # easPhrase Optional EAS phrase to be include in product header # # hazardSamplingThreshold Defines the percentage coverage or number of # grid points in a zone that must contain the hazard # in order for it to be considered. Tuple (percent, points) # includeOverviewHeadline If 1, the overview header is templated # includeOverview If 1, the overview section is templated # bulletProd If 1, the product will use a bullet format #------------------------------------------------------------------------- # Weather Elements Needed: # Hazards #------------------------------------------------------------------------- # Edit Areas Needed: None #------------------------------------------------------------------------- # Associated Utilities Files e.g. Combinations file: # Combinations file #------------------------------------------------------------------------- # Component Products: # Hazards #------------------------------------------------------------------------- # Development tasks that are identified and in progress: # # To look up tasks and their status, see the Text Product User Guide # Section on "Tkgnats: Task Reporting System". #------------------------------------------------------------------------- # Additional Information: #------------------------------------------------------------------------- # Example Output: #------------------------------------------------------------------------- import LogStream import TextRules import SampleAnalysis import time, string, types, copy, re import CallToActions import AbsTime
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from pyspark import SparkContext, SparkConf, SparkFiles from pyspark.sql import SQLContext, Row import ConfigParser as configparser from subprocess import Popen, PIPE from datetime import datetime from vina_utils import get_directory_complex_pdb_analysis, get_files_pdb, get_name_model_pdb, get_ligand_from_receptor_ligand_model, get_separator_filename_mode, get_directory_pdb_analysis, loading_pdb_2_list, get_name_receptor_pdb, get_files_pdb_filter import os, sys from os_utils import preparing_path from gromacs_utils import get_value_from_xvg_sasa from pdb_io import replace_chain_atom_line from database_io import load_database main()
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# Copyright 2019 NEC Corporation # # 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. # """ [] MAIL """ import pytz import datetime import json import socket import traceback from django.http import HttpResponse from django.http import HttpResponseServerError from django.db import transaction from django.conf import settings from libs.commonlibs import define as defs from libs.commonlibs.oase_logger import OaseLogger from libs.commonlibs.aes_cipher import AESCipher from web_app.models.models import ActionType from web_app.models.mail_models import MailDriver from web_app.templatetags.common import get_message from web_app.serializers.unicode_check import UnicodeCheck logger = OaseLogger.get_instance() # def modify(self, json_str, request): """ [] DB """ logger.logic_log('LOSI00001', 'None', request=request) error_flag = False error_msg = { 'mail_disp_name' : '', 'protocol' : '', 'smtp_server' : '', 'port' : '', 'user' : '', 'password' : '', } now = datetime.datetime.now(pytz.timezone('UTC')) emo_chk = UnicodeCheck() # response = {"status": "success",} try: rq = json_str['json_str'] ope = int(rq['ope']) # if ope != defs.DABASE_OPECODE.OPE_DELETE: error_flag = self._validate(rq, error_msg, request) if error_flag: raise UserWarning('validation error.') # cipher = AESCipher(settings.AES_KEY) if ope == defs.DABASE_OPECODE.OPE_UPDATE: encrypted_password = cipher.encrypt(rq['password']) if rq['password'] else '' driver_info_mod = MailDriver.objects.get(mail_driver_id=rq['mail_driver_id']) driver_info_mod.mail_disp_name = rq['mail_disp_name'] driver_info_mod.protocol = rq['protocol'] driver_info_mod.smtp_server = rq['smtp_server'] driver_info_mod.port = rq['port'] driver_info_mod.user = rq['user'] driver_info_mod.password = encrypted_password driver_info_mod.last_update_user = request.user.user_name driver_info_mod.last_update_timestamp = now driver_info_mod.save(force_update=True) elif ope == defs.DABASE_OPECODE.OPE_DELETE: MailDriver.objects.filter(pk=rq['mail_driver_id']).delete() elif ope == defs.DABASE_OPECODE.OPE_INSERT: encrypted_password = cipher.encrypt(rq['password']) if rq['password'] else '' driver_info_reg = MailDriver( mail_disp_name = rq['mail_disp_name'], protocol = rq['protocol'], smtp_server = rq['smtp_server'], port = rq['port'], user = rq['user'], password = encrypted_password, last_update_user = request.user.user_name, last_update_timestamp = now ).save(force_insert=True) except MailDriver.DoesNotExist: logger.logic_log('LOSM07006', "mail_driver_id", mail_driver_id, request=request) except Exception as e: logger.logic_log('LOSI00005', traceback.format_exc(), request=request) response = { 'status': 'failure', 'error_msg': error_msg, # () } logger.logic_log('LOSI00002', 'response=%s' % response, request=request) return response def _validate(self, rq, error_msg, request): """ [] [] rq: dict error_msg: dict [] """ logger.logic_log('LOSI00001', 'data: %s, error_msg:%s'%(rq, error_msg)) error_flag = False emo_chk = UnicodeCheck() emo_flag = False emo_flag_ita_disp_name = False emo_flag_hostname = False if len(rq['mail_disp_name']) == 0: error_flag = True error_msg['mail_disp_name'] += get_message('MOSJA27201', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07001', 'mail_disp_name', request=request) if len(rq['mail_disp_name']) > 64: error_flag = True error_msg['mail_disp_name'] += get_message('MOSJA27202', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07002', 'mail_disp_name', 64, rq['mail_disp_name'], request=request) # value_list = emo_chk.is_emotion(rq['mail_disp_name']) if len(value_list) > 0: error_flag = True emo_flag = True error_msg['mail_disp_name'] += get_message('MOSJA27216', request.user.get_lang_mode(), showMsgId=False) + '\n' if len(rq['protocol']) == 0: error_flag = True error_msg['protocol'] += get_message('MOSJA27212', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07001', 'protocol', request=request) if len(rq['protocol']) > 64: error_flag = True error_msg['protocol'] += get_message('MOSJA27213', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07002', 'protocol', 64, rq['protocol'], request=request) if len(rq['smtp_server']) == 0: error_flag = True error_msg['smtp_server'] += get_message('MOSJA27203', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07001', 'smtp_server', request=request) if len(rq['smtp_server']) > 128: error_flag = True error_msg['smtp_server'] += get_message('MOSJA27204', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07002', 'smtp_server', 64, rq['smtp_server'], request=request) # value_list = emo_chk.is_emotion(rq['smtp_server']) if len(value_list) > 0: error_flag = True error_msg['smtp_server'] += get_message('MOSJA27217', request.user.get_lang_mode(), showMsgId=False) + '\n' if len(rq['port']) == 0: error_flag = True error_msg['port'] += get_message('MOSJA27205', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07001', 'port', request=request) try: tmp_port = int(rq['port']) if 0 > tmp_port or tmp_port > 65535: error_flag = True error_msg['port'] += get_message('MOSJA27206', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07003', 'port', rq['port'], request=request) except ValueError: error_flag = True error_msg['port'] += get_message('MOSJA27206', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07003', 'port', rq['port'], request=request) if len(rq['user']) > 64: error_flag = True error_msg['user'] += get_message('MOSJA27207', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07002', 'user', 64, rq['user'], request=request) # value_list = emo_chk.is_emotion(rq['user']) if len(value_list) > 0: error_flag = True error_msg['user'] += get_message('MOSJA27218', request.user.get_lang_mode(), showMsgId=False) + '\n' if len(rq['password']) > 64: error_flag = True error_msg['password'] += get_message('MOSJA27208', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07002', 'password', 64, rq['password'], request=request) # value_list = emo_chk.is_emotion(rq['password']) if len(value_list) > 0: error_flag = True error_msg['password'] += get_message('MOSJA27219', request.user.get_lang_mode(), showMsgId=False) + '\n' if not emo_flag: duplication = MailDriver.objects.filter(mail_disp_name=rq['mail_disp_name']) if len(duplication) == 1 and int(rq['mail_driver_id']) != duplication[0].mail_driver_id: error_flag = True error_msg['mail_disp_name'] += get_message('MOSJA27209', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07004', 'mail_disp_name', rq['mail_disp_name'], request=request) if error_flag == False: # resp_code = -1 try: with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock: resp_code = sock.connect_ex((rq['smtp_server'], int(rq['port']))) # host/etc/hosts sock.close() except Exception as e: pass if resp_code != 0: error_flag = True #todo error_msg['mail_disp_name'] += get_message('MOSJA27215', request.user.get_lang_mode()) + '\n' logger.user_log('LOSM07005', rq['smtp_server'], rq['port'], request=request) return error_flag
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28712, 6, 12962, 611, 374, 80, 17816, 28712, 20520, 2073, 10148, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 796, 11099, 32103, 13, 48205, 13, 1136, 7, 4529, 62, 26230, 62, 312, 28, 81, 80, 17816, 4529, 62, 26230, 62, 312, 6, 12962, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 13, 4529, 62, 6381, 79, 62, 3672, 796, 374, 80, 17816, 4529, 62, 6381, 79, 62, 3672, 20520, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 13, 11235, 4668, 796, 374, 80, 17816, 11235, 4668, 20520, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 13, 5796, 34788, 62, 15388, 796, 374, 80, 17816, 5796, 34788, 62, 15388, 20520, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 13, 634, 796, 374, 80, 17816, 634, 20520, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 13, 7220, 796, 374, 80, 17816, 7220, 20520, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 13, 28712, 796, 19365, 62, 28712, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 13, 12957, 62, 19119, 62, 7220, 796, 2581, 13, 7220, 13, 7220, 62, 3672, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 13, 12957, 62, 19119, 62, 16514, 27823, 796, 783, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 4666, 13, 21928, 7, 3174, 62, 19119, 28, 17821, 8, 628, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1288, 361, 267, 431, 6624, 825, 82, 13, 5631, 33, 11159, 62, 3185, 2943, 16820, 13, 32135, 62, 7206, 2538, 9328, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 11099, 32103, 13, 48205, 13, 24455, 7, 79, 74, 28, 81, 80, 17816, 4529, 62, 26230, 62, 312, 20520, 737, 33678, 3419, 628, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1288, 361, 267, 431, 6624, 825, 82, 13, 5631, 33, 11159, 62, 3185, 2943, 16820, 13, 32135, 62, 20913, 17395, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 19365, 62, 28712, 796, 38012, 13, 12685, 6012, 7, 81, 80, 17816, 28712, 6, 12962, 611, 374, 80, 17816, 28712, 20520, 2073, 10148, 628, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4639, 62, 10951, 62, 2301, 796, 11099, 32103, 7, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 6920, 62, 6381, 79, 62, 3672, 796, 374, 80, 17816, 4529, 62, 6381, 79, 62, 3672, 6, 4357, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 8435, 796, 374, 80, 17816, 11235, 4668, 6, 4357, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 895, 34788, 62, 15388, 796, 374, 80, 17816, 5796, 34788, 62, 15388, 6, 4357, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 2493, 796, 374, 80, 17816, 634, 6, 4357, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 2836, 796, 374, 80, 17816, 7220, 6, 4357, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 9206, 796, 19365, 62, 28712, 11, 220, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 938, 62, 19119, 62, 7220, 796, 2581, 13, 7220, 13, 7220, 62, 3672, 11, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 938, 62, 19119, 62, 16514, 27823, 796, 783, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 6739, 21928, 7, 3174, 62, 28463, 28, 17821, 8, 628, 220, 220, 220, 220, 220, 220, 220, 2845, 11099, 32103, 13, 13921, 3673, 3109, 396, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 6404, 291, 62, 6404, 10786, 45376, 44, 2998, 28041, 3256, 366, 4529, 62, 26230, 62, 312, 1600, 6920, 62, 26230, 62, 312, 11, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 2845, 35528, 355, 304, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 6404, 291, 62, 6404, 10786, 45376, 40, 2388, 20, 3256, 12854, 1891, 13, 18982, 62, 41194, 22784, 2581, 28, 25927, 8, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 2882, 796, 1391, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 705, 13376, 10354, 705, 32165, 495, 3256, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 705, 18224, 62, 19662, 10354, 4049, 62, 19662, 11, 220, 1303, 7499, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 1782, 628, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 6404, 291, 62, 6404, 10786, 45376, 40, 2388, 17, 3256, 705, 26209, 28, 4, 82, 6, 4064, 2882, 11, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 1441, 2882, 628, 220, 220, 220, 825, 4808, 12102, 378, 7, 944, 11, 374, 80, 11, 4049, 62, 19662, 11, 2581, 2599, 198, 220, 220, 220, 220, 220, 220, 220, 37227, 198, 220, 220, 220, 220, 220, 220, 220, 17635, 198, 220, 220, 220, 220, 220, 220, 220, 220, 198, 220, 220, 220, 220, 220, 220, 220, 17635, 198, 220, 220, 220, 220, 220, 220, 220, 374, 80, 25, 8633, 220, 198, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 25, 8633, 198, 220, 220, 220, 220, 220, 220, 220, 17635, 198, 220, 220, 220, 220, 220, 220, 220, 37227, 198, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 6404, 291, 62, 6404, 10786, 45376, 40, 2388, 16, 3256, 705, 7890, 25, 4064, 82, 11, 4049, 62, 19662, 25, 4, 82, 6, 4, 7, 81, 80, 11, 4049, 62, 19662, 4008, 198, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 10352, 198, 220, 220, 220, 220, 220, 220, 220, 795, 78, 62, 354, 74, 796, 34371, 9787, 3419, 198, 220, 220, 220, 220, 220, 220, 220, 795, 78, 62, 32109, 796, 10352, 198, 220, 220, 220, 220, 220, 220, 220, 795, 78, 62, 32109, 62, 5350, 62, 6381, 79, 62, 3672, 796, 10352, 198, 220, 220, 220, 220, 220, 220, 220, 795, 78, 62, 32109, 62, 4774, 3672, 796, 10352, 628, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 81, 80, 17816, 4529, 62, 6381, 79, 62, 3672, 6, 12962, 6624, 657, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 4529, 62, 6381, 79, 62, 3672, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 1264, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 8298, 3256, 705, 4529, 62, 6381, 79, 62, 3672, 3256, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 81, 80, 17816, 4529, 62, 6381, 79, 62, 3672, 6, 12962, 1875, 5598, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 4529, 62, 6381, 79, 62, 3672, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 19004, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 21601, 3256, 705, 4529, 62, 6381, 79, 62, 3672, 3256, 5598, 11, 374, 80, 17816, 4529, 62, 6381, 79, 62, 3672, 6, 4357, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 1303, 220, 198, 220, 220, 220, 220, 220, 220, 220, 1988, 62, 4868, 796, 795, 78, 62, 354, 74, 13, 271, 62, 368, 9650, 7, 81, 80, 17816, 4529, 62, 6381, 79, 62, 3672, 6, 12962, 198, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 8367, 62, 4868, 8, 1875, 657, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 795, 78, 62, 32109, 220, 220, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 4529, 62, 6381, 79, 62, 3672, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 20666, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 22784, 905, 50108, 7390, 28, 25101, 8, 1343, 705, 59, 77, 6, 628, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 81, 80, 17816, 11235, 4668, 6, 12962, 6624, 657, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 11235, 4668, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 21777, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 8298, 3256, 705, 11235, 4668, 3256, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 81, 80, 17816, 11235, 4668, 6, 12962, 1875, 5598, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 11235, 4668, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 26427, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 21601, 3256, 705, 11235, 4668, 3256, 5598, 11, 374, 80, 17816, 11235, 4668, 6, 4357, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 81, 80, 17816, 5796, 34788, 62, 15388, 6, 12962, 6624, 657, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 5796, 34788, 62, 15388, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 22416, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 8298, 3256, 705, 5796, 34788, 62, 15388, 3256, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 81, 80, 17816, 5796, 34788, 62, 15388, 6, 12962, 1875, 13108, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 5796, 34788, 62, 15388, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 18638, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 21601, 3256, 705, 5796, 34788, 62, 15388, 3256, 5598, 11, 374, 80, 17816, 5796, 34788, 62, 15388, 6, 4357, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 1303, 220, 198, 220, 220, 220, 220, 220, 220, 220, 1988, 62, 4868, 796, 795, 78, 62, 354, 74, 13, 271, 62, 368, 9650, 7, 81, 80, 17816, 5796, 34788, 62, 15388, 6, 12962, 198, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 8367, 62, 4868, 8, 1875, 657, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 5796, 34788, 62, 15388, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 24591, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 22784, 905, 50108, 7390, 28, 25101, 8, 1343, 705, 59, 77, 6, 628, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 81, 80, 17816, 634, 6, 12962, 6624, 657, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 634, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 21261, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 8298, 3256, 705, 634, 3256, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 1949, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 45218, 62, 634, 796, 493, 7, 81, 80, 17816, 634, 6, 12962, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 611, 657, 1875, 45218, 62, 634, 393, 45218, 62, 634, 1875, 45021, 2327, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 634, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 22136, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 11245, 3256, 705, 634, 3256, 374, 80, 17816, 634, 6, 4357, 2581, 28, 25927, 8, 198, 220, 220, 220, 220, 220, 220, 220, 2845, 11052, 12331, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 634, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 22136, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 11245, 3256, 705, 634, 3256, 374, 80, 17816, 634, 6, 4357, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 81, 80, 17816, 7220, 6, 12962, 1875, 5598, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 7220, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 22745, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 21601, 3256, 705, 7220, 3256, 5598, 11, 374, 80, 17816, 7220, 6, 4357, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 1303, 220, 198, 220, 220, 220, 220, 220, 220, 220, 1988, 62, 4868, 796, 795, 78, 62, 354, 74, 13, 271, 62, 368, 9650, 7, 81, 80, 17816, 7220, 6, 12962, 198, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 8367, 62, 4868, 8, 1875, 657, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 7220, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 28727, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 22784, 905, 50108, 7390, 28, 25101, 8, 1343, 705, 59, 77, 6, 628, 220, 220, 220, 220, 220, 220, 220, 611, 18896, 7, 81, 80, 17816, 28712, 6, 12962, 1875, 5598, 25, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 32109, 796, 6407, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 4049, 62, 19662, 17816, 28712, 20520, 15853, 651, 62, 20500, 10786, 44, 2640, 37048, 1983, 21315, 3256, 2581, 13, 7220, 13, 1136, 62, 17204, 62, 14171, 28955, 1343, 705, 59, 77, 6, 198, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 49706, 13, 7220, 62, 6404, 10786, 45376, 44, 2998, 21601, 3256, 705, 28712, 3256, 5598, 11, 374, 80, 17816, 28712, 6, 4357, 2581, 28, 25927, 8, 628, 220, 220, 220, 220, 220, 220, 220, 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#!/usr/bin/env python3 from typing import Any, Union def main(): q = AnimalQueue() dogs = [Dog("d1"), Dog("d2"), Dog("d3")] cats = [Cat("c1"), Cat("c2"), Cat("c3")] both = [] while cats != []: both.append(cats.pop()) both.append(dogs.pop()) [q.enqueue(animal) for animal in both] string = "" for anim in both: string += f"{anim.name} {anim.order} | " print(string) # print(q.print_cats()) get = q.dequeDog() print(get.order,get.name) get = q.dequeAny() print(get.order,get.name) if __name__ == "__main__": main()
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# vi: ts=4 sw=4 '''AreaDetector Devices `areaDetector`_ detector abstractions .. _areaDetector: https://areadetector.github.io/master/index.html ''' import warnings from .base import (ADBase, ADComponent as C) from . import cam __all__ = ['DetectorBase', 'AreaDetector', 'AdscDetector', 'Andor3Detector', 'AndorDetector', 'BrukerDetector', 'DexelaDetector', 'EmergentVisionDetector', 'EigerDetector', 'FirewireLinDetector', 'FirewireWinDetector', 'GreatEyesDetector', 'LightFieldDetector', 'Mar345Detector', 'MarCCDDetector', 'PSLDetector', 'PerkinElmerDetector', 'PICamDetector', 'PilatusDetector', 'PixiradDetector', 'PointGreyDetector', 'ProsilicaDetector', 'PvcamDetector', 'RoperDetector', 'SimDetector', 'URLDetector', 'UVCDetector', 'Xspress3Detector' ]
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1.87415
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print('Controle de Terrenos') print('-' * 20) l = float(input('Largura (m): ')) c = float(input('Comprimento (m): ')) area(f'A rea do seu terreno {l}X{c} de {l*c}m.')
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2.098765
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import os from functools import wraps from os.path import join as join_path from dash import Dash from flask import make_response, render_template_string, redirect excluded_resources_endpoints = ( 'static', '_dash_assets.static', '/_favicon.ico', '/login', '/logout', '/_user', '/auth') def add_routes(app, authorizer): """Adds authentication endpoints to a flask app. Decorates other endpoints to grant access. The endpoints are: * /login * Method: GET * /logout * Method: GET * Erases cookies * /auth * Method: GET * Validates cookies if present or header authentication * Header: 'Authorization: DASHBOARD-AUTH username=([^/]*)/password=([^/]*)' * Sets cookies on login * Rejects unauthorized users Parameters ---------- app: flask.Flask or dash.Dash The flask or dash application excluded_resources_endpoints: tuple(str) Tuple with endpoints where access must not be checked. """ if isinstance(app, Dash): app = app.server login_template = load_template('login.html') app.add_url_rule('/auth', '/auth', auth) app.add_url_rule('/login', '/login', login) app.add_url_rule('/logout', '/logout', logout) for endpoint, function in app.view_functions.items(): if endpoint not in excluded_resources_endpoints: app.view_functions[endpoint] = authorize_endpoint(function) def load_template(filename): """Loads the login html template.""" pyfile_path = os.path.dirname(os.path.abspath(__file__)) path = join_path(pyfile_path, 'templates', filename) with open(path, 'r') as f: return f.read().strip()
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# Generated by Django 4.0.1 on 2022-04-07 01:20 from django.db import migrations, models
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2.84375
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# -*- coding: utf-8 -*- # Generated by Django 1.9 on 2015-12-21 12:22 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion
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2.92
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# -*- coding: utf-8 -*- """Module compliance_suite.exceptions.user_config_exception.py This module contains class definition for user config file exceptions. """
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#!/usr/bin/env python3 # Advent of Code 2021, Day 15 (https://adventofcode.com/2021/day/15) # Author: Ben Bornstein import collections import heapq Point = collections.namedtuple('Point', ['x', 'y']) Point.__add__ = lambda self, q: Point(self[0] + q[0], self[1] + q[1]) def resize (self, factor): """Resizes this `RiskMap` by setting its expansion factor to `factor` copies both horizontally and vertically. """ self._factor = factor def valid (self, pos): """Indicates whether or not `pos` is valid (inside this `RiskMap`).""" return pos.y in range(0, self.nrows) and pos.x in range(0, self.ncols) def search (rmap, start, end): """Searches `RiskMap` `rmap` (breadth-first) to find the least risky path from `start` to `end`. Returns the total risk of that path. """ risk = 0 queue = [ (rmap[p], p) for p in rmap.neighbors(start) ] visited = { start } heapq.heapify(queue) while len(queue) > 0: risk, current = heapq.heappop(queue) if current == end: break for pos in rmap.neighbors(current): if pos not in visited: heapq.heappush( queue, ((rmap[pos] + risk), pos) ) visited.add(pos) return risk filename = 'aoc-2021-d15.txt' rmap = RiskMap.load(filename) start = Point(0, 0) end = Point(rmap.ncols - 1, rmap.nrows - 1) # Part 1 # # Q: Lowest total risk of any path from the top left to the bottom right? # A: Total Risk = 755 print(f'Part 1: Total Risk = {search(rmap, start, end):4}') # Part 2 # # Q: Lowest total risk of any path from the top left to the bottom right? # A: Total Risk = 3016 rmap.resize(factor=5) end = Point(rmap.ncols - 1, rmap.nrows - 1) print(f'Part 2: Total Risk = {search(rmap, start, end)}')
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2.364917
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# This file is part of Indico. # Copyright (C) 2002 - 2020 CERN # # Indico is free software; you can redistribute it and/or # modify it under the terms of the MIT License; see the # LICENSE file for more details. from flask import redirect from indico.modules.events.abstracts.models.abstracts import Abstract from indico.web.flask.util import url_for from indico.web.rh import RHSimple
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3.333333
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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from .database_account_list_read_only_keys_result_py3 import DatabaseAccountListReadOnlyKeysResult
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5.035088
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from parsel import Selector import requests, json, re params = { "q": "richard branson", "tbm": "bks", "gl": "us", "hl": "en" } headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.87 Safari/537.36", } html = requests.get("https://www.google.com/search", params=params, headers=headers, timeout=30) selector = Selector(text=html.text) books_results = [] # https://regex101.com/r/mapBs4/1 book_thumbnails = re.findall(r"s=\\'data:image/jpg;base64,(.*?)\\'", str(selector.css("script").getall()), re.DOTALL) for book_thumbnail, book_result in zip(book_thumbnails, selector.css(".Yr5TG")): title = book_result.css(".DKV0Md::text").get() link = book_result.css(".bHexk a::attr(href)").get() displayed_link = book_result.css(".tjvcx::text").get() snippet = book_result.css(".cmlJmd span::text").get() author = book_result.css(".fl span::text").get() author_link = f'https://www.google.com/search{book_result.css(".N96wpd .fl::attr(href)").get()}' date_published = book_result.css(".fl+ span::text").get() preview_link = book_result.css(".R1n8Q a.yKioRe:nth-child(1)::attr(href)").get() more_editions_link = book_result.css(".R1n8Q a.yKioRe:nth-child(2)::attr(href)").get() books_results.append({ "title": title, "link": link, "displayed_link": displayed_link, "snippet": snippet, "author": author, "author_link": author_link, "date_published": date_published, "preview_link": preview_link, "more_editions_link": f"https://www.google.com{more_editions_link}" if more_editions_link is not None else None, "thumbnail": bytes(bytes(book_thumbnail, "ascii").decode("unicode-escape"), "ascii").decode("unicode-escape") })
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2.345269
782
r""" Contains classes and methods that can be used when simulating the game Higher-or-Lower and performing statistical analysis on different games. """ from hol import ( cards, constants, ) from hol._hol import ( generate_all_games, should_pick_higher, is_a_winning_game, generate_win_statistics, )
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3
109
# [h] slide selected glyphs from mojo.roboFont import CurrentFont, CurrentGlyph, version from vanilla import * from hTools2 import hDialog from hTools2.modules.fontutils import get_full_name, get_glyphs from hTools2.modules.messages import no_font_open, no_glyph_selected
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3.174419
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# -*- coding: utf-8 -*- from __future__ import absolute_import, unicode_literals import io import json import os import random import re import string import time from functools import wraps from hashlib import sha1 import six try: from secrets import choice except ImportError: from random import choice string_types = (six.string_types, six.text_type, six.binary_type) re_type = type(re.compile("regex_test")) def byte2int(s, index=0): """Get the ASCII int value of a character in a string. :param s: a string :param index: the position of desired character :return: ASCII int value """ if six.PY2: return ord(s[index]) return s[index] def pay_sign_dict( appid, pay_sign_key, add_noncestr=True, add_timestamp=True, add_appid=True, **kwargs ): """ """ assert pay_sign_key, "PAY SIGN KEY IS EMPTY" if add_appid: kwargs.update({'appid': appid}) if add_noncestr: kwargs.update({'noncestr': generate_token()}) if add_timestamp: kwargs.update({'timestamp': int(time.time())}) params = kwargs.items() _params = [ (k.lower(), v) for k, v in kwargs.items() if k.lower() != "appid" ] _params += [('appid', appid), ('appkey', pay_sign_key)] _params.sort() sign = '&'.join(["%s=%s" % (str(p[0]), str(p[1])) for p in _params]).encode("utf-8") sign = sha1(sign).hexdigest() sign_type = 'SHA1' return dict(params), sign, sign_type
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# 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. # ============================================================================== # pylint: disable=unused-import """Import names of Tensor Flow standard Ops.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import platform as _platform import sys as _sys from tensorflow.python import autograph from tensorflow.python.training.experimental import loss_scaling_gradient_tape # pylint: disable=g-bad-import-order # Imports the following modules so that @RegisterGradient get executed. from tensorflow.python.ops import array_grad from tensorflow.python.ops import cudnn_rnn_grad from tensorflow.python.ops import data_flow_grad from tensorflow.python.ops import manip_grad from tensorflow.python.ops import math_grad from tensorflow.python.ops import random_grad from tensorflow.python.ops import rnn_grad from tensorflow.python.ops import sparse_grad from tensorflow.python.ops import state_grad from tensorflow.python.ops import tensor_array_grad # go/tf-wildcard-import # pylint: disable=wildcard-import from tensorflow.python.ops.array_ops import * # pylint: disable=redefined-builtin from tensorflow.python.ops.check_ops import * from tensorflow.python.ops.clip_ops import * from tensorflow.python.ops.special_math_ops import * # TODO(vrv): Switch to import * once we're okay with exposing the module. from tensorflow.python.ops.confusion_matrix import confusion_matrix from tensorflow.python.ops.control_flow_ops import Assert from tensorflow.python.ops.control_flow_ops import case from tensorflow.python.ops.control_flow_ops import cond from tensorflow.python.ops.control_flow_ops import group from tensorflow.python.ops.control_flow_ops import no_op from tensorflow.python.ops.control_flow_ops import tuple # pylint: disable=redefined-builtin # pylint: enable=redefined-builtin from tensorflow.python.eager import wrap_function from tensorflow.python.ops.control_flow_ops import while_loop from tensorflow.python.ops.batch_ops import * from tensorflow.python.ops.critical_section_ops import * from tensorflow.python.ops.data_flow_ops import * from tensorflow.python.ops.functional_ops import * from tensorflow.python.ops.gradients import * from tensorflow.python.ops.histogram_ops import * from tensorflow.python.ops.init_ops import * from tensorflow.python.ops.io_ops import * from tensorflow.python.ops.linalg_ops import * from tensorflow.python.ops.logging_ops import Print from tensorflow.python.ops.logging_ops import get_summary_op from tensorflow.python.ops.logging_ops import timestamp from tensorflow.python.ops.lookup_ops import initialize_all_tables from tensorflow.python.ops.lookup_ops import tables_initializer from tensorflow.python.ops.manip_ops import * from tensorflow.python.ops.math_ops import * # pylint: disable=redefined-builtin from tensorflow.python.ops.numerics import * from tensorflow.python.ops.parsing_ops import * from tensorflow.python.ops.partitioned_variables import * from tensorflow.python.ops.proto_ops import * from tensorflow.python.ops.ragged import ragged_dispatch as _ragged_dispatch from tensorflow.python.ops.ragged import ragged_operators as _ragged_operators from tensorflow.python.ops.random_ops import * from tensorflow.python.ops.script_ops import py_func from tensorflow.python.ops.session_ops import * from tensorflow.python.ops.sort_ops import * from tensorflow.python.ops.sparse_ops import * from tensorflow.python.ops.state_ops import assign from tensorflow.python.ops.state_ops import assign_add from tensorflow.python.ops.state_ops import assign_sub from tensorflow.python.ops.state_ops import count_up_to from tensorflow.python.ops.state_ops import scatter_add from tensorflow.python.ops.state_ops import scatter_div from tensorflow.python.ops.state_ops import scatter_mul from tensorflow.python.ops.state_ops import scatter_sub from tensorflow.python.ops.state_ops import scatter_min from tensorflow.python.ops.state_ops import scatter_max from tensorflow.python.ops.state_ops import scatter_update from tensorflow.python.ops.state_ops import scatter_nd_add from tensorflow.python.ops.state_ops import scatter_nd_sub # TODO(simister): Re-enable once binary size increase due to scatter_nd # ops is under control. # from tensorflow.python.ops.state_ops import scatter_nd_mul # from tensorflow.python.ops.state_ops import scatter_nd_div from tensorflow.python.ops.state_ops import scatter_nd_update from tensorflow.python.ops.stateless_random_ops import * from tensorflow.python.ops.string_ops import * from tensorflow.python.ops.template import * from tensorflow.python.ops.tensor_array_ops import * from tensorflow.python.ops.variable_scope import * # pylint: disable=redefined-builtin from tensorflow.python.ops.variables import * from tensorflow.python.ops.parallel_for.control_flow_ops import vectorized_map # pylint: disable=g-import-not-at-top if _platform.system() == "Windows": from tensorflow.python.compiler.tensorrt import trt_convert_windows as trt else: from tensorflow.python.compiler.tensorrt import trt_convert as trt # pylint: enable=g-import-not-at-top # pylint: enable=wildcard-import # pylint: enable=g-bad-import-order # These modules were imported to set up RaggedTensor operators and dispatchers: del _ragged_dispatch, _ragged_operators
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """Test Tango device server for use with scaling tests.""" import sys import time import argparse import tango from tango.server import run from TestDevice import TestDevice def init_callback(): """Report server start up times. This callback is executed post server initialisation. """ # pylint: disable=global-statement global START_TIME db = tango.Database() elapsed = time.time() - START_TIME list_devices() exported_devices = list(db.get_device_exported('test/*')) num_devices = len(exported_devices) file = open('results.txt', 'a') file.write(',{},{}\n'.format(elapsed, elapsed / num_devices)) print('>> Time taken to start devices: {:.4f} s ({:.4f} s/dev)' .format(elapsed, elapsed / num_devices)) def delete_server(): """Delete the TestDeviceServer from the tango db.""" db = tango.Database() db.set_timeout_millis(50000) server = 'TestDeviceServer/1' server_list = list(db.get_server_list(server)) if server in server_list: start_time = time.time() db.delete_server('TestDeviceServer/1') print('- Delete server: {:.4f} s'.format(time.time() - start_time)) def register(num_devices): """Register devices in the tango db.""" db = tango.Database() device_info = tango.DbDevInfo() device_info.server = 'TestDeviceServer/1' # pylint: disable=protected-access device_info._class = 'TestDevice' start_time = time.time() for device_id in range(num_devices): device_info.name = 'test/test_device/{:05d}'.format(device_id) db.add_device(device_info) elapsed = time.time() - start_time file = open('results.txt', 'a') file.write('{},{},{}'.format(num_devices, elapsed, elapsed/num_devices)) print('- Register devices: {:.4f} s ({:.4f} s/device)' .format(elapsed, elapsed / num_devices)) def list_devices(): """List tango devices associated with the TestDeviceServer.""" db = tango.Database() server_instance = 'TestDeviceServer/1' device_class = 'TestDevice' devices = list(db.get_device_name(server_instance, device_class)) print('- No. registered devices: {}'.format(len(devices))) exported_devices = list(db.get_device_exported('test/*')) print('- No. running devices: {}'.format(len(exported_devices))) def main(args=None, **kwargs): """Run (start) the device server.""" run([TestDevice], verbose=True, msg_stream=sys.stdout, post_init_callback=init_callback, raises=False, args=args, **kwargs) if __name__ == '__main__': PARSER = argparse.ArgumentParser(description='Device registration time.') PARSER.add_argument('num_devices', metavar='N', type=int, default=1, nargs='?', help='Number of devices to start.') ARGS = PARSER.parse_args() delete_server() time.sleep(0.5) list_devices() print('* Registering {} devices'.format(ARGS.num_devices)) register(ARGS.num_devices) list_devices() print('* Starting server ...') sys.argv = ['TestDeviceServer', '1', '-v4'] START_TIME = time.time() main()
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2.601784
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from pathlib import Path import pytest from haystack.document_store.elasticsearch import ElasticsearchDocumentStore from haystack.pipeline import TranslationWrapperPipeline, JoinDocuments, ExtractiveQAPipeline, Pipeline, FAQPipeline, \ DocumentSearchPipeline, RootNode from haystack.retriever.dense import DensePassageRetriever from haystack.retriever.sparse import ElasticsearchRetriever def test_parallel_paths_in_pipeline_graph(): pipeline = Pipeline() pipeline.add_node(name="A", component=A(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A"]) pipeline.add_node(name="C", component=C(), inputs=["B"]) pipeline.add_node(name="E", component=E(), inputs=["C"]) pipeline.add_node(name="D", component=D(), inputs=["B"]) pipeline.add_node(name="F", component=JoinNode(), inputs=["D", "E"]) output = pipeline.run(query="test") assert output["output"] == "ABDABCE" pipeline = Pipeline() pipeline.add_node(name="A", component=A(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A"]) pipeline.add_node(name="C", component=C(), inputs=["B"]) pipeline.add_node(name="D", component=D(), inputs=["B"]) pipeline.add_node(name="E", component=JoinNode(), inputs=["C", "D"]) output = pipeline.run(query="test") assert output["output"] == "ABCABD" def test_parallel_paths_in_pipeline_graph_with_branching(): pipeline = Pipeline() pipeline.add_node(name="A", component=AWithOutput1(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A.output_1"]) pipeline.add_node(name="C", component=C(), inputs=["A.output_2"]) pipeline.add_node(name="D", component=E(), inputs=["B"]) pipeline.add_node(name="E", component=D(), inputs=["B"]) pipeline.add_node(name="F", component=JoinNode(), inputs=["D", "E", "C"]) output = pipeline.run(query="test") assert output["output"] == "ABEABD" pipeline = Pipeline() pipeline.add_node(name="A", component=AWithOutput2(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A.output_1"]) pipeline.add_node(name="C", component=C(), inputs=["A.output_2"]) pipeline.add_node(name="D", component=E(), inputs=["B"]) pipeline.add_node(name="E", component=D(), inputs=["B"]) pipeline.add_node(name="F", component=JoinNode(), inputs=["D", "E", "C"]) output = pipeline.run(query="test") assert output["output"] == "AC" pipeline = Pipeline() pipeline.add_node(name="A", component=AWithOutputAll(), inputs=["Query"]) pipeline.add_node(name="B", component=B(), inputs=["A.output_1"]) pipeline.add_node(name="C", component=C(), inputs=["A.output_2"]) pipeline.add_node(name="D", component=E(), inputs=["B"]) pipeline.add_node(name="E", component=D(), inputs=["B"]) pipeline.add_node(name="F", component=JoinNode(), inputs=["D", "E", "C"]) output = pipeline.run(query="test") assert output["output"] == "ACABEABD"
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import sys import os import subprocess import shutil import time import logging from Bio import SeqIO from multiprocessing import Pool import pysam from telr.TELR_utility import mkdir, check_exist, format_time def get_local_contigs( assembler, polisher, contig_dir, vcf_parsed, out, sample_name, bam, raw_reads, thread, presets, polish_iterations, ): """Perform local assembly using reads from parsed VCF file in parallel""" # Prepare reads used for local assembly and polishing sv_reads_dir = os.path.join(out, "sv_reads") try: prep_assembly_inputs( vcf_parsed, out, sample_name, bam, raw_reads, sv_reads_dir, read_type="sv" ) except Exception as e: print(e) print("Prepare local assembly input data failed, exiting...") sys.exit(1) mkdir(contig_dir) k = 0 asm_pa_list = [] with open(vcf_parsed, "r") as input: for line in input: entry = line.replace("\n", "").split("\t") contig_name = "_".join([entry[0], entry[1], entry[2]]) # rename variant reads sv_reads = sv_reads_dir + "/contig" + str(k) sv_reads_rename = sv_reads_dir + "/" + contig_name + ".reads.fa" os.rename(sv_reads, sv_reads_rename) thread_asm = 1 asm_pa = [ sv_reads_rename, contig_dir, contig_name, thread_asm, presets, assembler, polisher, polish_iterations, ] asm_pa_list.append(asm_pa) k = k + 1 # run assembly in parallel logging.info("Perform local assembly of non-reference TE loci...") start_time = time.time() try: pool = Pool(processes=thread) contig_list = pool.map(run_assembly_polishing, asm_pa_list) pool.close() pool.join() except Exception as e: print(e) print("Local assembly failed, exiting...") sys.exit(1) proc_time = time.time() - start_time # merge all contigs assembly_passed_loci = set() merged_contigs = os.path.join(out, sample_name + ".contigs.fa") with open(merged_contigs, "w") as merged_output_handle: for contig in contig_list: if check_exist(contig): contig_name = os.path.basename(contig).replace(".cns.fa", "") assembly_passed_loci.add(contig_name) parsed_contig = os.path.join(contig_dir, contig_name + ".cns.ctg1.fa") with open(contig, "r") as input: records = SeqIO.parse(input, "fasta") for record in records: if record.id == "ctg1" or record.id == "contig_1": record.id = contig_name record.description = "len=" + str(len(record.seq)) SeqIO.write(record, merged_output_handle, "fasta") with open(parsed_contig, "w") as parsed_output_handle: SeqIO.write(record, parsed_output_handle, "fasta") logging.info("Local assembly finished in " + format_time(proc_time)) return merged_contigs, assembly_passed_loci def run_flye_polishing( asm_cns, reads, asm_dir, contig_name, thread, polish_iterations, presets ): """Run Flye polishing""" if presets == "pacbio": presets_flye = "--pacbio-raw" else: presets_flye = "--nano-raw" tmp_out_dir = os.path.join(asm_dir, contig_name) mkdir(tmp_out_dir) try: subprocess.call( [ "flye", "--polish-target", asm_cns, presets_flye, reads, "--out-dir", tmp_out_dir, "--thread", str(thread), "--iterations", str(polish_iterations), ] ) except Exception as e: print(e) print("Polishing failed, exiting...") return None # rename contig file polished_contig = os.path.join( tmp_out_dir, "polished_" + str(polish_iterations) + ".fasta" ) if check_exist(polished_contig): os.rename(polished_contig, asm_cns) shutil.rmtree(tmp_out_dir) return asm_cns else: return None def run_wtdbg2_polishing(asm_cns, reads, threads, polish_iterations, presets): """Run wtdbg2 polishing""" if presets == "pacbio": presets_minimap2 = "map-pb" else: presets_minimap2 = "map-ont" # polish consensus threads = str(min(threads, 4)) bam = asm_cns + ".bam" k = 0 while True: # align reads to contigs command = ( "minimap2 -t " + threads + " -ax " + presets_minimap2 + " -r2k " + asm_cns + " " + reads + " | samtools sort -@" + threads + " > " + bam ) try: subprocess.run( command, shell=True, timeout=300, stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT, ) except subprocess.TimeoutExpired: print("fail to map reads to contig: " + asm_cns) return # run wtpoa-cns to get polished contig cns_tmp = asm_cns + ".tmp" command = ( "samtools view -F0x900 " + bam + " | wtpoa-cns -t " + threads + " -d " + asm_cns + " -i - -fo " + cns_tmp ) try: subprocess.run( command, shell=True, timeout=300, stdout=subprocess.DEVNULL, stderr=subprocess.STDOUT, ) except subprocess.TimeoutExpired: print("fail to polish contig: " + asm_cns) return if check_exist(cns_tmp): os.rename(cns_tmp, asm_cns) os.remove(bam) else: break k = k + 1 if k >= polish_iterations: break if check_exist(asm_cns): return asm_cns else: print("polishing failed for " + asm_cns + "\n") return None def run_flye_assembly(sv_reads, asm_dir, contig_name, thread, presets): """Run Flye assembly""" if presets == "pacbio": presets_flye = "--pacbio-raw" else: presets_flye = "--nano-raw" tmp_out_dir = os.path.join(asm_dir, contig_name) mkdir(tmp_out_dir) try: subprocess.call( [ "flye", presets_flye, sv_reads, "--out-dir", tmp_out_dir, "--thread", str(thread), "--iterations", "0", ] ) except Exception as e: print(e) print("Assembly failed, exiting...") return # rename contigs contig_path = os.path.join(tmp_out_dir, "assembly.fasta") contig_path_new = os.path.join(asm_dir, contig_name + ".cns.fa") if check_exist(contig_path): os.rename(contig_path, contig_path_new) # remove tmp files shutil.rmtree(tmp_out_dir) return contig_path_new else: print("assembly failed") return None def run_wtdbg2_assembly(sv_reads, asm_dir, contig_name, thread, presets): """Run wtdbg2 assembly""" if presets == "pacbio": presets_wtdbg2 = "rs" else: presets_wtdbg2 = "ont" prefix = sv_reads.replace(".reads.fa", "") try: subprocess.run( [ "wtdbg2", "-x", presets_wtdbg2, "-q", "-AS", "1", "-g", "30k", "-t", str(thread), "-i", sv_reads, "-fo", prefix, ], timeout=300, ) except subprocess.TimeoutExpired: print("fail to build contig layout for contig: " + contig_name) return except Exception as e: print(e) print("wtdbg2 failed, exiting...") return None # derive consensus contig_layout = prefix + ".ctg.lay.gz" if check_exist(contig_layout): cns_thread = str(min(thread, 4)) consensus = prefix + ".cns.fa" try: subprocess.run( [ "wtpoa-cns", "-q", "-t", cns_thread, "-i", contig_layout, "-fo", consensus, ], timeout=300, ) except subprocess.TimeoutExpired: print("fail to assemble contig: " + contig_name) return None if check_exist(consensus): consensus_rename = os.path.join(asm_dir, contig_name + ".cns.fa") os.rename(consensus, consensus_rename) return consensus_rename else: return None def prep_assembly_inputs( vcf_parsed, out, sample_name, bam, raw_reads, reads_dir, read_type="sv" ): """Prepare reads for local assembly""" # logging.info("Prepare reads for local assembly") if read_type == "sv": # TODO: figure out what this does # extract read IDs read_ids = os.path.join(out, sample_name + ".id") with open(vcf_parsed, "r") as input, open(read_ids, "w") as output: for line in input: entry = line.replace("\n", "").split("\t") read_list = entry[8].split(",") for read in read_list: output.write(read + "\n") else: # TODO: think about using this for assembly, filter for cigar reads window = 1000 samfile = pysam.AlignmentFile(bam, "rb") read_ids = os.path.join(out, sample_name + ".id") vcf_parsed_new = vcf_parsed + ".new" with open(vcf_parsed, "r") as input, open(read_ids, "w") as output, open( vcf_parsed_new, "w" ) as VCF: for line in input: entry = line.replace("\n", "").split("\t") # get sniffles read list read_list = entry[8].split(",") reads_sniffles = set(read_list) ins_chr = entry[0] ins_breakpoint = round((int(entry[1]) + int(entry[2])) / 2) start = ins_breakpoint - window end = ins_breakpoint + window reads = set() # coverage = 0 for read in samfile.fetch(ins_chr, start, end): reads.add(read.query_name) for read in reads: output.write(read + "\n") # write out_line = line.replace("\n", "") + "\t" + str(len(reads)) VCF.write(out_line + "\n") vcf_parsed = vcf_parsed_new # generate unique ID list read_ids_unique = read_ids + ".unique" command = "cat " + read_ids + " | sort | uniq" with open(read_ids_unique, "w") as output: subprocess.call(command, stdout=output, shell=True) # filter raw reads using read list subset_fa = os.path.join(out, sample_name + ".subset.fa") command = "seqtk subseq " + raw_reads + " " + read_ids_unique + " | seqtk seq -a" with open(subset_fa, "w") as output: subprocess.call(command, stdout=output, shell=True) # reorder reads subset_fa_reorder = out + "/" + sample_name + ".subset.reorder.fa" extract_reads(subset_fa, read_ids, subset_fa_reorder) # separate reads into multiple files, using csplit mkdir(reads_dir) csplit_prefix = reads_dir + "/contig" m = [] k = 1 with open(vcf_parsed, "r") as input: for line in input: entry = line.replace("\n", "").split("\t") if read_type == "sv": k = k + 2 * (len(entry[8].split(","))) else: k = k + 2 * int(entry[14]) m.append(k) if len(m) == 1: subprocess.call(["cp", subset_fa_reorder, reads_dir + "/contig0"]) elif len(m) == 0: print("No insertion detected, exiting...") else: m = m[:-1] index = " ".join(str(i) for i in m) command = ( "csplit -s -f " + csplit_prefix + " -n 1 " + subset_fa_reorder + " " + index ) subprocess.call(command, shell=True) # remove tmp files os.remove(read_ids) os.remove(read_ids_unique) os.remove(subset_fa) os.remove(subset_fa_reorder) def extract_reads(reads, list, out): """Extract reads from fasta using read ID list""" record_dict = SeqIO.index(reads, "fasta") with open(out, "wb") as output_handle, open(list, "r") as ID: for entry in ID: entry = entry.replace("\n", "") output_handle.write(record_dict.get_raw(entry))
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1.875972
7,071
# pylint: disable=protected-access """ Test the wrappers for the C API. """ import os from contextlib import contextmanager import numpy as np import numpy.testing as npt import pandas as pd import pytest import xarray as xr from packaging.version import Version from pygmt import Figure, clib from pygmt.clib.conversion import dataarray_to_matrix from pygmt.clib.session import FAMILIES, VIAS from pygmt.exceptions import ( GMTCLibError, GMTCLibNoSessionError, GMTInvalidInput, GMTVersionError, ) from pygmt.helpers import GMTTempFile TEST_DATA_DIR = os.path.join(os.path.dirname(__file__), "data") with clib.Session() as _lib: gmt_version = Version(_lib.info["version"]) def test_getitem(): """ Test that I can get correct constants from the C lib. """ ses = clib.Session() assert ses["GMT_SESSION_EXTERNAL"] != -99999 assert ses["GMT_MODULE_CMD"] != -99999 assert ses["GMT_PAD_DEFAULT"] != -99999 assert ses["GMT_DOUBLE"] != -99999 with pytest.raises(GMTCLibError): ses["A_WHOLE_LOT_OF_JUNK"] # pylint: disable=pointless-statement def test_create_destroy_session(): """ Test that create and destroy session are called without errors. """ # Create two session and make sure they are not pointing to the same memory session1 = clib.Session() session1.create(name="test_session1") assert session1.session_pointer is not None session2 = clib.Session() session2.create(name="test_session2") assert session2.session_pointer is not None assert session2.session_pointer != session1.session_pointer session1.destroy() session2.destroy() # Create and destroy a session twice ses = clib.Session() for __ in range(2): with pytest.raises(GMTCLibNoSessionError): ses.session_pointer # pylint: disable=pointless-statement ses.create("session1") assert ses.session_pointer is not None ses.destroy() with pytest.raises(GMTCLibNoSessionError): ses.session_pointer # pylint: disable=pointless-statement def test_create_session_fails(): """ Check that an exception is raised when failing to create a session. """ ses = clib.Session() with mock(ses, "GMT_Create_Session", returns=None): with pytest.raises(GMTCLibError): ses.create("test-session-name") # Should fail if trying to create a session before destroying the old one. ses.create("test1") with pytest.raises(GMTCLibError): ses.create("test2") def test_destroy_session_fails(): """ Fail to destroy session when given bad input. """ ses = clib.Session() with pytest.raises(GMTCLibNoSessionError): ses.destroy() ses.create("test-session") with mock(ses, "GMT_Destroy_Session", returns=1): with pytest.raises(GMTCLibError): ses.destroy() ses.destroy() def test_call_module(): """ Run a command to see if call_module works. """ data_fname = os.path.join(TEST_DATA_DIR, "points.txt") out_fname = "test_call_module.txt" with clib.Session() as lib: with GMTTempFile() as out_fname: lib.call_module("info", "{} -C ->{}".format(data_fname, out_fname.name)) assert os.path.exists(out_fname.name) output = out_fname.read().strip() assert output == "11.5309 61.7074 -2.9289 7.8648 0.1412 0.9338" def test_call_module_invalid_arguments(): """ Fails for invalid module arguments. """ with clib.Session() as lib: with pytest.raises(GMTCLibError): lib.call_module("info", "bogus-data.bla") def test_call_module_invalid_name(): """ Fails when given bad input. """ with clib.Session() as lib: with pytest.raises(GMTCLibError): lib.call_module("meh", "") def test_call_module_error_message(): """ Check is the GMT error message was captured. """ with clib.Session() as lib: try: lib.call_module("info", "bogus-data.bla") except GMTCLibError as error: assert "Module 'info' failed with status code" in str(error) assert "gmtinfo [ERROR]: Cannot find file bogus-data.bla" in str(error) def test_method_no_session(): """ Fails when not in a session. """ # Create an instance of Session without "with" so no session is created. lib = clib.Session() with pytest.raises(GMTCLibNoSessionError): lib.call_module("gmtdefaults", "") with pytest.raises(GMTCLibNoSessionError): lib.session_pointer # pylint: disable=pointless-statement def test_parse_constant_single(): """ Parsing a single family argument correctly. """ lib = clib.Session() for family in FAMILIES: parsed = lib._parse_constant(family, valid=FAMILIES) assert parsed == lib[family] def test_parse_constant_composite(): """ Parsing a composite constant argument (separated by |) correctly. """ lib = clib.Session() test_cases = ((family, via) for family in FAMILIES for via in VIAS) for family, via in test_cases: composite = "|".join([family, via]) expected = lib[family] + lib[via] parsed = lib._parse_constant(composite, valid=FAMILIES, valid_modifiers=VIAS) assert parsed == expected def test_parse_constant_fails(): """ Check if the function fails when given bad input. """ lib = clib.Session() test_cases = [ "SOME_random_STRING", "GMT_IS_DATASET|GMT_VIA_MATRIX|GMT_VIA_VECTOR", "GMT_IS_DATASET|NOT_A_PROPER_VIA", "NOT_A_PROPER_FAMILY|GMT_VIA_MATRIX", "NOT_A_PROPER_FAMILY|ALSO_INVALID", ] for test_case in test_cases: with pytest.raises(GMTInvalidInput): lib._parse_constant(test_case, valid=FAMILIES, valid_modifiers=VIAS) # Should also fail if not given valid modifiers but is using them anyway. # This should work... lib._parse_constant( "GMT_IS_DATASET|GMT_VIA_MATRIX", valid=FAMILIES, valid_modifiers=VIAS ) # But this shouldn't. with pytest.raises(GMTInvalidInput): lib._parse_constant( "GMT_IS_DATASET|GMT_VIA_MATRIX", valid=FAMILIES, valid_modifiers=None ) def test_create_data_dataset(): """ Run the function to make sure it doesn't fail badly. """ with clib.Session() as lib: # Dataset from vectors data_vector = lib.create_data( family="GMT_IS_DATASET|GMT_VIA_VECTOR", geometry="GMT_IS_POINT", mode="GMT_CONTAINER_ONLY", dim=[10, 20, 1, 0], # columns, rows, layers, dtype ) # Dataset from matrices data_matrix = lib.create_data( family="GMT_IS_DATASET|GMT_VIA_MATRIX", geometry="GMT_IS_POINT", mode="GMT_CONTAINER_ONLY", dim=[10, 20, 1, 0], ) assert data_vector != data_matrix def test_create_data_grid_dim(): """ Create a grid ignoring range and inc. """ with clib.Session() as lib: # Grids from matrices using dim lib.create_data( family="GMT_IS_GRID|GMT_VIA_MATRIX", geometry="GMT_IS_SURFACE", mode="GMT_CONTAINER_ONLY", dim=[10, 20, 1, 0], ) def test_create_data_grid_range(): """ Create a grid specifying range and inc instead of dim. """ with clib.Session() as lib: # Grids from matrices using range and int lib.create_data( family="GMT_IS_GRID|GMT_VIA_MATRIX", geometry="GMT_IS_SURFACE", mode="GMT_CONTAINER_ONLY", ranges=[150.0, 250.0, -20.0, 20.0], inc=[0.1, 0.2], ) def test_create_data_fails(): """ Check that create_data raises exceptions for invalid input and output. """ # Passing in invalid mode with pytest.raises(GMTInvalidInput): with clib.Session() as lib: lib.create_data( family="GMT_IS_DATASET", geometry="GMT_IS_SURFACE", mode="Not_a_valid_mode", dim=[0, 0, 1, 0], ranges=[150.0, 250.0, -20.0, 20.0], inc=[0.1, 0.2], ) # Passing in invalid geometry with pytest.raises(GMTInvalidInput): with clib.Session() as lib: lib.create_data( family="GMT_IS_GRID", geometry="Not_a_valid_geometry", mode="GMT_CONTAINER_ONLY", dim=[0, 0, 1, 0], ranges=[150.0, 250.0, -20.0, 20.0], inc=[0.1, 0.2], ) # If the data pointer returned is None (NULL pointer) with pytest.raises(GMTCLibError): with clib.Session() as lib: with mock(lib, "GMT_Create_Data", returns=None): lib.create_data( family="GMT_IS_DATASET", geometry="GMT_IS_SURFACE", mode="GMT_CONTAINER_ONLY", dim=[11, 10, 2, 0], ) def test_virtual_file(): """ Test passing in data via a virtual file with a Dataset. """ dtypes = "float32 float64 int32 int64 uint32 uint64".split() shape = (5, 3) for dtype in dtypes: with clib.Session() as lib: family = "GMT_IS_DATASET|GMT_VIA_MATRIX" geometry = "GMT_IS_POINT" dataset = lib.create_data( family=family, geometry=geometry, mode="GMT_CONTAINER_ONLY", dim=[shape[1], shape[0], 1, 0], # columns, rows, layers, dtype ) data = np.arange(shape[0] * shape[1], dtype=dtype).reshape(shape) lib.put_matrix(dataset, matrix=data) # Add the dataset to a virtual file and pass it along to gmt info vfargs = (family, geometry, "GMT_IN|GMT_IS_REFERENCE", dataset) with lib.open_virtual_file(*vfargs) as vfile: with GMTTempFile() as outfile: lib.call_module("info", "{} ->{}".format(vfile, outfile.name)) output = outfile.read(keep_tabs=True) bounds = "\t".join( ["<{:.0f}/{:.0f}>".format(col.min(), col.max()) for col in data.T] ) expected = "<matrix memory>: N = {}\t{}\n".format(shape[0], bounds) assert output == expected def test_virtual_file_fails(): """ Check that opening and closing virtual files raises an exception for non- zero return codes. """ vfargs = ( "GMT_IS_DATASET|GMT_VIA_MATRIX", "GMT_IS_POINT", "GMT_IN|GMT_IS_REFERENCE", None, ) # Mock Open_VirtualFile to test the status check when entering the context. # If the exception is raised, the code won't get to the closing of the # virtual file. with clib.Session() as lib, mock(lib, "GMT_Open_VirtualFile", returns=1): with pytest.raises(GMTCLibError): with lib.open_virtual_file(*vfargs): print("Should not get to this code") # Test the status check when closing the virtual file # Mock the opening to return 0 (success) so that we don't open a file that # we won't close later. with clib.Session() as lib, mock(lib, "GMT_Open_VirtualFile", returns=0), mock( lib, "GMT_Close_VirtualFile", returns=1 ): with pytest.raises(GMTCLibError): with lib.open_virtual_file(*vfargs): pass print("Shouldn't get to this code either") def test_virtual_file_bad_direction(): """ Test passing an invalid direction argument. """ with clib.Session() as lib: vfargs = ( "GMT_IS_DATASET|GMT_VIA_MATRIX", "GMT_IS_POINT", "GMT_IS_GRID", # The invalid direction argument 0, ) with pytest.raises(GMTInvalidInput): with lib.open_virtual_file(*vfargs): print("This should have failed") def test_virtualfile_from_vectors(): """ Test the automation for transforming vectors to virtual file dataset. """ dtypes = "float32 float64 int32 int64 uint32 uint64".split() size = 10 for dtype in dtypes: x = np.arange(size, dtype=dtype) y = np.arange(size, size * 2, 1, dtype=dtype) z = np.arange(size * 2, size * 3, 1, dtype=dtype) with clib.Session() as lib: with lib.virtualfile_from_vectors(x, y, z) as vfile: with GMTTempFile() as outfile: lib.call_module("info", "{} ->{}".format(vfile, outfile.name)) output = outfile.read(keep_tabs=True) bounds = "\t".join( ["<{:.0f}/{:.0f}>".format(i.min(), i.max()) for i in (x, y, z)] ) expected = "<vector memory>: N = {}\t{}\n".format(size, bounds) assert output == expected def test_virtualfile_from_vectors_transpose(): """ Test transforming matrix columns to virtual file dataset. """ dtypes = "float32 float64 int32 int64 uint32 uint64".split() shape = (7, 5) for dtype in dtypes: data = np.arange(shape[0] * shape[1], dtype=dtype).reshape(shape) with clib.Session() as lib: with lib.virtualfile_from_vectors(*data.T) as vfile: with GMTTempFile() as outfile: lib.call_module("info", "{} -C ->{}".format(vfile, outfile.name)) output = outfile.read(keep_tabs=True) bounds = "\t".join( ["{:.0f}\t{:.0f}".format(col.min(), col.max()) for col in data.T] ) expected = "{}\n".format(bounds) assert output == expected def test_virtualfile_from_vectors_diff_size(): """ Test the function fails for arrays of different sizes. """ x = np.arange(5) y = np.arange(6) with clib.Session() as lib: with pytest.raises(GMTInvalidInput): with lib.virtualfile_from_vectors(x, y): print("This should have failed") def test_virtualfile_from_matrix(): """ Test transforming a matrix to virtual file dataset. """ dtypes = "float32 float64 int32 int64 uint32 uint64".split() shape = (7, 5) for dtype in dtypes: data = np.arange(shape[0] * shape[1], dtype=dtype).reshape(shape) with clib.Session() as lib: with lib.virtualfile_from_matrix(data) as vfile: with GMTTempFile() as outfile: lib.call_module("info", "{} ->{}".format(vfile, outfile.name)) output = outfile.read(keep_tabs=True) bounds = "\t".join( ["<{:.0f}/{:.0f}>".format(col.min(), col.max()) for col in data.T] ) expected = "<matrix memory>: N = {}\t{}\n".format(shape[0], bounds) assert output == expected def test_virtualfile_from_matrix_slice(): """ Test transforming a slice of a larger array to virtual file dataset. """ dtypes = "float32 float64 int32 int64 uint32 uint64".split() shape = (10, 6) for dtype in dtypes: full_data = np.arange(shape[0] * shape[1], dtype=dtype).reshape(shape) rows = 5 cols = 3 data = full_data[:rows, :cols] with clib.Session() as lib: with lib.virtualfile_from_matrix(data) as vfile: with GMTTempFile() as outfile: lib.call_module("info", "{} ->{}".format(vfile, outfile.name)) output = outfile.read(keep_tabs=True) bounds = "\t".join( ["<{:.0f}/{:.0f}>".format(col.min(), col.max()) for col in data.T] ) expected = "<matrix memory>: N = {}\t{}\n".format(rows, bounds) assert output == expected def test_virtualfile_from_vectors_pandas(): """ Pass vectors to a dataset using pandas Series. """ dtypes = "float32 float64 int32 int64 uint32 uint64".split() size = 13 for dtype in dtypes: data = pd.DataFrame( data=dict( x=np.arange(size, dtype=dtype), y=np.arange(size, size * 2, 1, dtype=dtype), z=np.arange(size * 2, size * 3, 1, dtype=dtype), ) ) with clib.Session() as lib: with lib.virtualfile_from_vectors(data.x, data.y, data.z) as vfile: with GMTTempFile() as outfile: lib.call_module("info", "{} ->{}".format(vfile, outfile.name)) output = outfile.read(keep_tabs=True) bounds = "\t".join( [ "<{:.0f}/{:.0f}>".format(i.min(), i.max()) for i in (data.x, data.y, data.z) ] ) expected = "<vector memory>: N = {}\t{}\n".format(size, bounds) assert output == expected def test_virtualfile_from_vectors_arraylike(): """ Pass array-like vectors to a dataset. """ size = 13 x = list(range(0, size, 1)) y = tuple(range(size, size * 2, 1)) z = range(size * 2, size * 3, 1) with clib.Session() as lib: with lib.virtualfile_from_vectors(x, y, z) as vfile: with GMTTempFile() as outfile: lib.call_module("info", "{} ->{}".format(vfile, outfile.name)) output = outfile.read(keep_tabs=True) bounds = "\t".join( ["<{:.0f}/{:.0f}>".format(min(i), max(i)) for i in (x, y, z)] ) expected = "<vector memory>: N = {}\t{}\n".format(size, bounds) assert output == expected def test_extract_region_fails(): """ Check that extract region fails if nothing has been plotted. """ Figure() with pytest.raises(GMTCLibError): with clib.Session() as lib: lib.extract_region() def test_extract_region_two_figures(): """ Extract region should handle multiple figures existing at the same time. """ # Make two figures before calling extract_region to make sure that it's # getting from the current figure, not the last figure. fig1 = Figure() region1 = np.array([0, 10, -20, -10]) fig1.coast(region=region1, projection="M6i", frame=True, land="black") fig2 = Figure() fig2.basemap(region="US.HI+r5", projection="M6i", frame=True) # Activate the first figure and extract the region from it # Use in a different session to avoid any memory problems. with clib.Session() as lib: lib.call_module("figure", "{} -".format(fig1._name)) with clib.Session() as lib: wesn1 = lib.extract_region() npt.assert_allclose(wesn1, region1) # Now try it with the second one with clib.Session() as lib: lib.call_module("figure", "{} -".format(fig2._name)) with clib.Session() as lib: wesn2 = lib.extract_region() npt.assert_allclose(wesn2, np.array([-165.0, -150.0, 15.0, 25.0])) def test_write_data_fails(): """ Check that write data raises an exception for non-zero return codes. """ # It's hard to make the C API function fail without causing a Segmentation # Fault. Can't test this if by giving a bad file name because if # output=='', GMT will just write to stdout and spaces are valid file # names. Use a mock instead just to exercise this part of the code. with clib.Session() as lib: with mock(lib, "GMT_Write_Data", returns=1): with pytest.raises(GMTCLibError): lib.write_data( "GMT_IS_VECTOR", "GMT_IS_POINT", "GMT_WRITE_SET", [1] * 6, "some-file-name", None, ) def test_dataarray_to_matrix_works(): """ Check that dataarray_to_matrix returns correct output. """ data = np.diag(v=np.arange(3)) x = np.linspace(start=0, stop=4, num=3) y = np.linspace(start=5, stop=9, num=3) grid = xr.DataArray(data, coords=[("y", y), ("x", x)]) matrix, region, inc = dataarray_to_matrix(grid) npt.assert_allclose(actual=matrix, desired=np.flipud(data)) npt.assert_allclose(actual=region, desired=[x.min(), x.max(), y.min(), y.max()]) npt.assert_allclose(actual=inc, desired=[x[1] - x[0], y[1] - y[0]]) def test_dataarray_to_matrix_negative_x_increment(): """ Check if dataarray_to_matrix returns correct output with flipped x. """ data = np.diag(v=np.arange(3)) x = np.linspace(start=4, stop=0, num=3) y = np.linspace(start=5, stop=9, num=3) grid = xr.DataArray(data, coords=[("y", y), ("x", x)]) matrix, region, inc = dataarray_to_matrix(grid) npt.assert_allclose(actual=matrix, desired=np.flip(data, axis=(0, 1))) npt.assert_allclose(actual=region, desired=[x.min(), x.max(), y.min(), y.max()]) npt.assert_allclose(actual=inc, desired=[abs(x[1] - x[0]), abs(y[1] - y[0])]) def test_dataarray_to_matrix_negative_y_increment(): """ Check that dataarray_to_matrix returns correct output with flipped y. """ data = np.diag(v=np.arange(3)) x = np.linspace(start=0, stop=4, num=3) y = np.linspace(start=9, stop=5, num=3) grid = xr.DataArray(data, coords=[("y", y), ("x", x)]) matrix, region, inc = dataarray_to_matrix(grid) npt.assert_allclose(actual=matrix, desired=data) npt.assert_allclose(actual=region, desired=[x.min(), x.max(), y.min(), y.max()]) npt.assert_allclose(actual=inc, desired=[abs(x[1] - x[0]), abs(y[1] - y[0])]) def test_dataarray_to_matrix_negative_x_and_y_increment(): """ Check that dataarray_to_matrix returns correct output with flipped x/y. """ data = np.diag(v=np.arange(3)) x = np.linspace(start=4, stop=0, num=3) y = np.linspace(start=9, stop=5, num=3) grid = xr.DataArray(data, coords=[("y", y), ("x", x)]) matrix, region, inc = dataarray_to_matrix(grid) npt.assert_allclose(actual=matrix, desired=np.fliplr(data)) npt.assert_allclose(actual=region, desired=[x.min(), x.max(), y.min(), y.max()]) npt.assert_allclose(actual=inc, desired=[abs(x[1] - x[0]), abs(y[1] - y[0])]) def test_dataarray_to_matrix_dims_fails(): """ Check that it fails for > 2 dims. """ # Make a 3D regular grid data = np.ones((10, 12, 11), dtype="float32") x = np.arange(11) y = np.arange(12) z = np.arange(10) grid = xr.DataArray(data, coords=[("z", z), ("y", y), ("x", x)]) with pytest.raises(GMTInvalidInput): dataarray_to_matrix(grid) def test_dataarray_to_matrix_inc_fails(): """ Check that it fails for variable increments. """ data = np.ones((4, 5), dtype="float64") x = np.linspace(0, 1, 5) y = np.logspace(2, 3, 4) grid = xr.DataArray(data, coords=[("y", y), ("x", x)]) with pytest.raises(GMTInvalidInput): dataarray_to_matrix(grid) def test_get_default(): """ Make sure get_default works without crashing and gives reasonable results. """ with clib.Session() as lib: assert lib.get_default("API_GRID_LAYOUT") in ["rows", "columns"] assert int(lib.get_default("API_CORES")) >= 1 assert Version(lib.get_default("API_VERSION")) >= Version("6.2.0") def test_get_default_fails(): """ Make sure get_default raises an exception for invalid names. """ with clib.Session() as lib: with pytest.raises(GMTCLibError): lib.get_default("NOT_A_VALID_NAME") def test_info_dict(): """ Make sure the clib.Session.info dict is working. """ # Check if there are no errors or segfaults from getting all of the # properties. with clib.Session() as lib: assert lib.info # Mock GMT_Get_Default to return always the same string def mock_defaults(api, name, value): # pylint: disable=unused-argument """ Put 'bla' in the value buffer. """ value.value = b"bla" return 0 ses = clib.Session() ses.create("test-session") with mock(ses, "GMT_Get_Default", mock_func=mock_defaults): # Check for an empty dictionary assert ses.info for key in ses.info: assert ses.info[key] == "bla" ses.destroy() def test_fails_for_wrong_version(): """ Make sure the clib.Session raises an exception if GMT is too old. """ # Mock GMT_Get_Default to return an old version def mock_defaults(api, name, value): # pylint: disable=unused-argument """ Return an old version. """ if name == b"API_VERSION": value.value = b"5.4.3" else: value.value = b"bla" return 0 lib = clib.Session() with mock(lib, "GMT_Get_Default", mock_func=mock_defaults): with pytest.raises(GMTVersionError): with lib: assert lib.info["version"] != "5.4.3" # Make sure the session is closed when the exception is raised. with pytest.raises(GMTCLibNoSessionError): assert lib.session_pointer
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2.188321
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"""Type stubs for _pytest._code.""" # This class actually has more functions than are specified here. # We don't use these features, so I don't think its worth including # them in our type stub. We can always change it later.
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if __name__ == "__main__": n = int(input("Enter a number: ")) print(get_factorization(n))
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from __future__ import annotations from datetime import timedelta import operator from sys import getsizeof from typing import ( TYPE_CHECKING, Any, Callable, Hashable, List, cast, ) import warnings import numpy as np from pandas._libs import index as libindex from pandas._libs.lib import no_default from pandas._typing import Dtype from pandas.compat.numpy import function as nv from pandas.util._decorators import ( cache_readonly, doc, ) from pandas.util._exceptions import rewrite_exception from pandas.core.dtypes.common import ( ensure_platform_int, ensure_python_int, is_float, is_integer, is_scalar, is_signed_integer_dtype, is_timedelta64_dtype, ) from pandas.core.dtypes.generic import ABCTimedeltaIndex from pandas.core import ops import pandas.core.common as com from pandas.core.construction import extract_array import pandas.core.indexes.base as ibase from pandas.core.indexes.base import maybe_extract_name from pandas.core.indexes.numeric import ( Float64Index, Int64Index, NumericIndex, ) from pandas.core.ops.common import unpack_zerodim_and_defer if TYPE_CHECKING: from pandas import Index _empty_range = range(0) # -------------------------------------------------------------------- # Rendering Methods def _format_attrs(self): """ Return a list of tuples of the (attr, formatted_value) """ attrs = self._get_data_as_items() if self.name is not None: attrs.append(("name", ibase.default_pprint(self.name))) return attrs # -------------------------------------------------------------------- _deprecation_message = ( "RangeIndex.{} is deprecated and will be " "removed in a future version. Use RangeIndex.{} " "instead" ) def memory_usage(self, deep: bool = False) -> int: """ Memory usage of my values Parameters ---------- deep : bool Introspect the data deeply, interrogate `object` dtypes for system-level memory consumption Returns ------- bytes used Notes ----- Memory usage does not include memory consumed by elements that are not components of the array if deep=False See Also -------- numpy.ndarray.nbytes """ return self.nbytes def __contains__(self, key: Any) -> bool: hash(key) try: key = ensure_python_int(key) except TypeError: return False return key in self._range # -------------------------------------------------------------------- # Indexing Methods def _get_indexer( self, target: Index, method: str | None = None, limit: int | None = None, tolerance=None, ) -> np.ndarray: # -> np.ndarray[np.intp] if com.any_not_none(method, tolerance, limit): return super()._get_indexer( target, method=method, tolerance=tolerance, limit=limit ) if self.step > 0: start, stop, step = self.start, self.stop, self.step else: # GH 28678: work on reversed range for simplicity reverse = self._range[::-1] start, stop, step = reverse.start, reverse.stop, reverse.step if not is_signed_integer_dtype(target): # checks/conversions/roundings are delegated to general method return super()._get_indexer(target, method=method, tolerance=tolerance) target_array = np.asarray(target) locs = target_array - start valid = (locs % step == 0) & (locs >= 0) & (target_array < stop) locs[~valid] = -1 locs[valid] = locs[valid] / step if step != self.step: # We reversed this range: transform to original locs locs[valid] = len(self) - 1 - locs[valid] return ensure_platform_int(locs) # -------------------------------------------------------------------- def _view(self: RangeIndex) -> RangeIndex: result = type(self)._simple_new(self._range, name=self._name) result._cache = self._cache return result def min(self, axis=None, skipna: bool = True, *args, **kwargs) -> int: """The minimum value of the RangeIndex""" nv.validate_minmax_axis(axis) nv.validate_min(args, kwargs) return self._minmax("min") def max(self, axis=None, skipna: bool = True, *args, **kwargs) -> int: """The maximum value of the RangeIndex""" nv.validate_minmax_axis(axis) nv.validate_max(args, kwargs) return self._minmax("max") def argsort(self, *args, **kwargs) -> np.ndarray: """ Returns the indices that would sort the index and its underlying data. Returns ------- np.ndarray[np.intp] See Also -------- numpy.ndarray.argsort """ ascending = kwargs.pop("ascending", True) # EA compat nv.validate_argsort(args, kwargs) if self._range.step > 0: result = np.arange(len(self), dtype=np.intp) else: result = np.arange(len(self) - 1, -1, -1, dtype=np.intp) if not ascending: result = result[::-1] return result def equals(self, other: object) -> bool: """ Determines if two Index objects contain the same elements. """ if isinstance(other, RangeIndex): return self._range == other._range return super().equals(other) # -------------------------------------------------------------------- # Set Operations def _min_fitting_element(self, lower_limit: int) -> int: """Returns the smallest element greater than or equal to the limit""" no_steps = -(-(lower_limit - self.start) // abs(self.step)) return self.start + abs(self.step) * no_steps def _max_fitting_element(self, upper_limit: int) -> int: """Returns the largest element smaller than or equal to the limit""" no_steps = (upper_limit - self.start) // abs(self.step) return self.start + abs(self.step) * no_steps def _extended_gcd(self, a: int, b: int) -> tuple[int, int, int]: """ Extended Euclidean algorithms to solve Bezout's identity: a*x + b*y = gcd(x, y) Finds one particular solution for x, y: s, t Returns: gcd, s, t """ s, old_s = 0, 1 t, old_t = 1, 0 r, old_r = b, a while r: quotient = old_r // r old_r, r = r, old_r - quotient * r old_s, s = s, old_s - quotient * s old_t, t = t, old_t - quotient * t return old_r, old_s, old_t def _union(self, other: Index, sort): """ Form the union of two Index objects and sorts if possible Parameters ---------- other : Index or array-like sort : False or None, default None Whether to sort resulting index. ``sort=None`` returns a monotonically increasing ``RangeIndex`` if possible or a sorted ``Int64Index`` if not. ``sort=False`` always returns an unsorted ``Int64Index`` .. versionadded:: 0.25.0 Returns ------- union : Index """ if isinstance(other, RangeIndex) and sort is None: start_s, step_s = self.start, self.step end_s = self.start + self.step * (len(self) - 1) start_o, step_o = other.start, other.step end_o = other.start + other.step * (len(other) - 1) if self.step < 0: start_s, step_s, end_s = end_s, -step_s, start_s if other.step < 0: start_o, step_o, end_o = end_o, -step_o, start_o if len(self) == 1 and len(other) == 1: step_s = step_o = abs(self.start - other.start) elif len(self) == 1: step_s = step_o elif len(other) == 1: step_o = step_s start_r = min(start_s, start_o) end_r = max(end_s, end_o) if step_o == step_s: if ( (start_s - start_o) % step_s == 0 and (start_s - end_o) <= step_s and (start_o - end_s) <= step_s ): return type(self)(start_r, end_r + step_s, step_s) if ( (step_s % 2 == 0) and (abs(start_s - start_o) <= step_s / 2) and (abs(end_s - end_o) <= step_s / 2) ): return type(self)(start_r, end_r + step_s / 2, step_s / 2) elif step_o % step_s == 0: if ( (start_o - start_s) % step_s == 0 and (start_o + step_s >= start_s) and (end_o - step_s <= end_s) ): return type(self)(start_r, end_r + step_s, step_s) elif step_s % step_o == 0: if ( (start_s - start_o) % step_o == 0 and (start_s + step_o >= start_o) and (end_s - step_o <= end_o) ): return type(self)(start_r, end_r + step_o, step_o) return self._int64index._union(other, sort=sort) # -------------------------------------------------------------------- def _concat(self, indexes: list[Index], name: Hashable) -> Index: """ Overriding parent method for the case of all RangeIndex instances. When all members of "indexes" are of type RangeIndex: result will be RangeIndex if possible, Int64Index otherwise. E.g.: indexes = [RangeIndex(3), RangeIndex(3, 6)] -> RangeIndex(6) indexes = [RangeIndex(3), RangeIndex(4, 6)] -> Int64Index([0,1,2,4,5]) """ if not all(isinstance(x, RangeIndex) for x in indexes): return super()._concat(indexes, name) elif len(indexes) == 1: return indexes[0] rng_indexes = cast(List[RangeIndex], indexes) start = step = next_ = None # Filter the empty indexes non_empty_indexes = [obj for obj in rng_indexes if len(obj)] for obj in non_empty_indexes: rng = obj._range if start is None: # This is set by the first non-empty index start = rng.start if step is None and len(rng) > 1: step = rng.step elif step is None: # First non-empty index had only one element if rng.start == start: values = np.concatenate([x._values for x in rng_indexes]) result = Int64Index(values) return result.rename(name) step = rng.start - start non_consecutive = (step != rng.step and len(rng) > 1) or ( next_ is not None and rng.start != next_ ) if non_consecutive: result = Int64Index(np.concatenate([x._values for x in rng_indexes])) return result.rename(name) if step is not None: next_ = rng[-1] + step if non_empty_indexes: # Get the stop value from "next" or alternatively # from the last non-empty index stop = non_empty_indexes[-1].stop if next_ is None else next_ return RangeIndex(start, stop, step).rename(name) # Here all "indexes" had 0 length, i.e. were empty. # In this case return an empty range index. return RangeIndex(0, 0).rename(name) def __len__(self) -> int: """ return the length of the RangeIndex """ return len(self._range) def __getitem__(self, key): """ Conserve RangeIndex type for scalar and slice keys. """ if isinstance(key, slice): new_range = self._range[key] return self._simple_new(new_range, name=self._name) elif is_integer(key): new_key = int(key) try: return self._range[new_key] except IndexError as err: raise IndexError( f"index {key} is out of bounds for axis 0 with size {len(self)}" ) from err elif is_scalar(key): raise IndexError( "only integers, slices (`:`), " "ellipsis (`...`), numpy.newaxis (`None`) " "and integer or boolean " "arrays are valid indices" ) # fall back to Int64Index return super().__getitem__(key) def _getitem_slice(self: RangeIndex, slobj: slice) -> RangeIndex: """ Fastpath for __getitem__ when we know we have a slice. """ res = self._range[slobj] return type(self)._simple_new(res, name=self._name) # -------------------------------------------------------------------- # Reductions def all(self, *args, **kwargs) -> bool: return 0 not in self._range def any(self, *args, **kwargs) -> bool: return any(self._range) # -------------------------------------------------------------------- def _arith_method(self, other, op): """ Parameters ---------- other : Any op : callable that accepts 2 params perform the binary op """ if isinstance(other, ABCTimedeltaIndex): # Defer to TimedeltaIndex implementation return NotImplemented elif isinstance(other, (timedelta, np.timedelta64)): # GH#19333 is_integer evaluated True on timedelta64, # so we need to catch these explicitly return op(self._int64index, other) elif is_timedelta64_dtype(other): # Must be an np.ndarray; GH#22390 return op(self._int64index, other) if op in [ operator.pow, ops.rpow, operator.mod, ops.rmod, ops.rfloordiv, divmod, ops.rdivmod, ]: return op(self._int64index, other) step: Callable | None = None if op in [operator.mul, ops.rmul, operator.truediv, ops.rtruediv]: step = op # TODO: if other is a RangeIndex we may have more efficient options other = extract_array(other, extract_numpy=True, extract_range=True) attrs = self._get_attributes_dict() left, right = self, other try: # apply if we have an override if step: with np.errstate(all="ignore"): rstep = step(left.step, right) # we don't have a representable op # so return a base index if not is_integer(rstep) or not rstep: raise ValueError else: rstep = left.step with np.errstate(all="ignore"): rstart = op(left.start, right) rstop = op(left.stop, right) result = type(self)(rstart, rstop, rstep, **attrs) # for compat with numpy / Int64Index # even if we can represent as a RangeIndex, return # as a Float64Index if we have float-like descriptors if not all(is_integer(x) for x in [rstart, rstop, rstep]): result = result.astype("float64") return result except (ValueError, TypeError, ZeroDivisionError): # Defer to Int64Index implementation return op(self._int64index, other) # TODO: Do attrs get handled reliably?
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2.134084
7,458
import torch import torch.nn as nn
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3.181818
11
""" Logging functions for the ``jwql`` automation platform. This module provides decorators to log the execution of modules. Log files are written to the ``logs/`` directory in the ``jwql`` central storage area, named by module name and timestamp, e.g. ``monitor_filesystem/monitor_filesystem_2018-06-20-15:22:51.log`` Authors ------- - Catherine Martlin 2018 - Alex Viana, 2013 (WFC3 QL Version) Use --- To log the execution of a module, use: :: import os import logging from jwql.logging.logging_functions import configure_logging from jwql.logging.logging_functions import log_info from jwql.logging.logging_functions import log_fail @log_info @log_fail def my_main_function(): pass if __name__ == '__main__': module = os.path.basename(__file__).replace('.py', '') configure_logging(module) my_main_function() Dependencies ------------ The user must have a configuration file named ``config.json`` placed in the ``utils`` directory. References ---------- This code is adopted and updated from python routine ``logging_functions.py`` written by Alex Viana, 2013 for the WFC3 Quicklook automation platform. """ import datetime import getpass import importlib import logging import os import pwd import socket import sys import time import traceback from functools import wraps from jwql.utils.permissions import set_permissions from jwql.utils.utils import get_config, ensure_dir_exists LOG_FILE_LOC = '' PRODUCTION_BOOL = '' def configure_logging(module, production_mode=True, path='./'): """Configure the log file with a standard logging format. Parameters ---------- module : str The name of the module being logged. production_mode : bool Whether or not the output should be written to the production environement. path : str Where to write the log if user-supplied path; default to working dir. """ # Determine log file location if production_mode: log_file = make_log_file(module) else: log_file = make_log_file(module, production_mode=False, path=path) global LOG_FILE_LOC global PRODUCTION_BOOL LOG_FILE_LOC = log_file PRODUCTION_BOOL = production_mode # Create the log file and set the permissions logging.basicConfig(filename=log_file, format='%(asctime)s %(levelname)s: %(message)s', datefmt='%m/%d/%Y %H:%M:%S %p', level=logging.INFO) set_permissions(log_file) def make_log_file(module, production_mode=True, path='./'): """Create the log file name based on the module name. The name of the ``log_file`` is a combination of the name of the module being logged and the current datetime. Parameters ---------- module : str The name of the module being logged. production_mode : bool Whether or not the output should be written to the production environment. path : str Where to write the log if user-supplied path; default to working dir. Returns ------- log_file : str The full path to where the log file will be written to. """ timestamp = datetime.datetime.now().strftime('%Y-%m-%d-%H-%M') filename = '{0}_{1}.log'.format(module, timestamp) user = pwd.getpwuid(os.getuid()).pw_name settings = get_config() admin_account = settings['admin_account'] log_path = settings['log_dir'] exempt_modules = [] if user != admin_account and module not in exempt_modules and production_mode: module = os.path.join('dev', module) if production_mode: log_file = os.path.join(log_path, module, filename) else: log_file = os.path.join(path, filename) ensure_dir_exists(os.path.dirname(log_file)) return log_file def log_info(func): """Decorator to log useful system information. This function can be used as a decorator to log user environment and system information. Future packages we want to track can be added or removed as necessary. Parameters ---------- func : func The function to decorate. Returns ------- wrapped : func The wrapped function. """ return wrapped def log_fail(func): """Decorator to log crashes in the decorated code. Parameters ---------- func : func The function to decorate. Returns ------- wrapped : func The wrapped function. """ return wrapped
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from aiohttp import ClientSession from typing import Optional session: Optional[ClientSession] = None __all__ = (session,)
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