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deleted file mode 100644 index 7ddc9e0a0687521eba04ee02b6652dddb39a80e2..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/__init__.py +++ /dev/null @@ -1,21 +0,0 @@ -# coding: utf-8 -# pylint: disable=wrong-import-position -"""InsightFace: A Face Analysis Toolkit.""" -from __future__ import absolute_import - -try: - #import mxnet as mx - import onnxruntime -except ImportError: - raise ImportError( - "Unable to import dependency onnxruntime. " - ) - -__version__ = '0.7.3' - -from . import model_zoo -from . import utils -from . import app -from . import data -from . import thirdparty - diff --git a/faceswapimg_data/insightface/__pycache__/__init__.cpython-310.pyc b/faceswapimg_data/insightface/__pycache__/__init__.cpython-310.pyc deleted file mode 100644 index 566a5d663002d8ff46dcb933bb0d39aaf0ebf1ad..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/__pycache__/__init__.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index 099dcbe3f0d6ca1d2c28be83a3b24f80c583d098..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/__pycache__/__init__.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/app/__init__.py b/faceswapimg_data/insightface/app/__init__.py deleted file mode 100644 index 2a0e492020053bfe930479752ec828aa1db45c6b..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/app/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -from .face_analysis import * -from .mask_renderer import * diff --git a/faceswapimg_data/insightface/app/__pycache__/__init__.cpython-310.pyc b/faceswapimg_data/insightface/app/__pycache__/__init__.cpython-310.pyc deleted file mode 100644 index 31f48ba89c653e7a1191d0fc682e3805a0d7517b..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/app/__pycache__/__init__.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/app/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/app/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index f61789326125b66a48e7b6a63800972354e7dace..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/app/__pycache__/__init__.cpython-39.pyc and /dev/null differ diff --git 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5e2b725c537b33e50fd8021f5d55ef76c09919fa..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/app/__pycache__/face_analysis.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/app/__pycache__/face_analysis.cpython-39.pyc b/faceswapimg_data/insightface/app/__pycache__/face_analysis.cpython-39.pyc deleted file mode 100644 index 46c2359ddbe6f28b55fce7c6dfcb5668edde9768..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/app/__pycache__/face_analysis.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/app/__pycache__/mask_renderer.cpython-310.pyc b/faceswapimg_data/insightface/app/__pycache__/mask_renderer.cpython-310.pyc deleted file mode 100644 index 7987a1437d3240d7eb69e2b1d72ac272a38439c6..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/app/__pycache__/mask_renderer.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/app/__pycache__/mask_renderer.cpython-39.pyc b/faceswapimg_data/insightface/app/__pycache__/mask_renderer.cpython-39.pyc deleted file mode 100644 index 327102a1aefe2c29d386e3f216accf4a3b12490d..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/app/__pycache__/mask_renderer.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/app/common.py b/faceswapimg_data/insightface/app/common.py deleted file mode 100644 index 82ca987aeede35510b3aef72b4edf2390ad84e65..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/app/common.py +++ /dev/null @@ -1,49 +0,0 @@ -import numpy as np -from numpy.linalg import norm as l2norm -#from easydict import EasyDict - -class Face(dict): - - def __init__(self, d=None, **kwargs): - if d is None: - d = {} - if kwargs: - d.update(**kwargs) - for k, v in d.items(): - setattr(self, k, v) - # Class attributes - #for k in self.__class__.__dict__.keys(): - # if not (k.startswith('__') and k.endswith('__')) and not k in ('update', 'pop'): - # setattr(self, k, getattr(self, k)) - - def __setattr__(self, name, value): - if isinstance(value, (list, tuple)): - value = [self.__class__(x) - if isinstance(x, dict) else x for x in value] - elif isinstance(value, dict) and not isinstance(value, self.__class__): - value = self.__class__(value) - super(Face, self).__setattr__(name, value) - super(Face, self).__setitem__(name, value) - - __setitem__ = __setattr__ - - def __getattr__(self, name): - return None - - @property - def embedding_norm(self): - if self.embedding is None: - return None - return l2norm(self.embedding) - - @property - def normed_embedding(self): - if self.embedding is None: - return None - return self.embedding / self.embedding_norm - - @property - def sex(self): - if self.gender is None: - return None - return 'M' if self.gender==1 else 'F' diff --git a/faceswapimg_data/insightface/app/face_analysis.py b/faceswapimg_data/insightface/app/face_analysis.py deleted file mode 100644 index a9b63039fef7805c722d98f4c10e19d21074a785..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/app/face_analysis.py +++ /dev/null @@ -1,142 +0,0 @@ -# -*- coding: utf-8 -*- -# @Organization : insightface.ai -# @Author : Jia Guo -# @Time : 2021-05-04 -# @Function : - - -from __future__ import division - -import glob -import os.path as osp - -import numpy as np -import onnxruntime -from numpy.linalg import norm - -from ..model_zoo import model_zoo -from ..utils import DEFAULT_MP_NAME, ensure_available -from .common import Face - -__all__ = ['FaceAnalysis'] - -class FaceAnalysis: - def __init__(self, name=DEFAULT_MP_NAME, root='./insightface', allowed_modules=None, **kwargs): - onnxruntime.set_default_logger_severity(3) - self.models = {} - self.model_dir = ensure_available('models', name, root=root) - onnx_files = glob.glob(osp.join(self.model_dir, '*.onnx')) - onnx_files = sorted(onnx_files) - for onnx_file in onnx_files: - model = model_zoo.get_model(onnx_file, **kwargs) - if model is None: - print('model not recognized:', onnx_file) - elif allowed_modules is not None and model.taskname not in allowed_modules: - print('model ignore:', onnx_file, model.taskname) - del model - elif model.taskname not in self.models and (allowed_modules is None or model.taskname in allowed_modules): - print('find model:', onnx_file, model.taskname, model.input_shape, model.input_mean, model.input_std) - self.models[model.taskname] = model - else: - print('duplicated model task type, ignore:', onnx_file, model.taskname) - del model - assert 'detection' in self.models - self.det_model = self.models['detection'] - - - def prepare(self, ctx_id, det_thresh=0.5, det_size=(640, 640)): - self.det_thresh = det_thresh - assert det_size is not None - print('set det-size:', det_size) - self.det_size = det_size - for taskname, model in self.models.items(): - if taskname=='detection': - model.prepare(ctx_id, input_size=det_size, det_thresh=det_thresh) - else: - model.prepare(ctx_id) - - def get_points(self, bboxes, kpss, img, max_num=0): - if kpss is None or not isinstance(bboxes, np.ndarray): - bboxes, kpss = self.det_model.detect(img, - max_num=max_num, - metric='default') - # print("bboxes points la: ", bboxes) - # print("bbox type la: ", type(bboxes)) - # print("kpss la: ", kpss) - # print("kpss type la: ", type(kpss)) - # bboxes, kpss = None - if bboxes.shape[0] == 0: - return [] - ret = [] - for i in range(bboxes.shape[0]): - bbox = bboxes[i, 0:4] - det_score = None - kps = None - if kpss is not None: - kps = kpss[i] - face = Face(bbox=bbox, kps=kps, det_score=det_score) - for taskname, model in self.models.items(): - if taskname=='detection': - continue - model.get(img, face) - ret.append(face) - return ret - - - def get(self, bboxes, kpss, img, max_num=0): - bboxes, kpss = self.det_model.detect(img, - max_num=max_num, - metric='default') - # print("bboxes points la: ", bboxes) - # print("bbox type la: ", type(bboxes)) - # print("kpss la: ", kpss) - # print("kpss type la: ", type(kpss)) - if bboxes.shape[0] == 0: - return [] - ret = [] - for i in range(bboxes.shape[0]): - bbox = bboxes[i, 0:4] - det_score = None - kps = None - if kpss is not None: - kps = kpss[i] - face = Face(bbox=bbox, kps=kps, det_score=det_score) - for taskname, model in self.models.items(): - if taskname=='detection': - continue - model.get(img, face) - ret.append(face) - return ret - - def draw_on(self, img, faces): - import cv2 - dimg = img.copy() - for i in range(len(faces)): - face = faces[i] - box = face.bbox.astype(np.int32) - # print("box face draw face:", box) - color = (0, 0, 255) - cv2.rectangle(dimg, (box[0], box[1]), (box[2], box[3]), color, 2) - if face.kps is not None: - kps = face.kps.astype(np.int32) - #print(landmark.shape) - for l in range(kps.shape[0]): - color = (0, 0, 255) - if l == 0 or l == 3: - color = (0, 255, 0) - cv2.circle(dimg, (kps[l][0], kps[l][1]), 1, color, - 2) - if face.gender is not None and face.age is not None: - cv2.putText(dimg,'%s,%d'%(face.sex,face.age), (box[0]-1, box[1]-4),cv2.FONT_HERSHEY_COMPLEX,0.7,(0,255,0),1) - - # for key, value in face.items(): - # if key.startswith('landmark_3d'): - # print(key, value.shape) - # print(value[0:10,:]) - # lmk = np.round(value).astype(np.int) - # for l in range(lmk.shape[0]): - # color = (255, 0, 0) - # cv2.circle(dimg, (lmk[l][0], lmk[l][1]), 1, color, - # 2) - return dimg - diff --git a/faceswapimg_data/insightface/app/mask_renderer.py b/faceswapimg_data/insightface/app/mask_renderer.py deleted file mode 100644 index 2815f5018ca92cdcc541e47309d9466cd5f669dc..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/app/mask_renderer.py +++ /dev/null @@ -1,232 +0,0 @@ -import os, sys, datetime -import numpy as np -import os.path as osp -import albumentations as A -from albumentations.core.transforms_interface import ImageOnlyTransform -from .face_analysis import FaceAnalysis -from ..utils import get_model_dir -from ..thirdparty import face3d -from ..data import get_image as ins_get_image -from ..utils import DEFAULT_MP_NAME -import cv2 - -class MaskRenderer: - def __init__(self, name=DEFAULT_MP_NAME, root='~/.insightface', insfa=None): - #if insfa is None, enter render_only mode - self.mp_name = name - self.root = root - self.insfa = insfa - model_dir = get_model_dir(name, root) - bfm_file = osp.join(model_dir, 'BFM.mat') - assert osp.exists(bfm_file), 'should contains BFM.mat in your model directory' - self.bfm = face3d.morphable_model.MorphabelModel(bfm_file) - self.index_ind = self.bfm.kpt_ind - bfm_uv_file = osp.join(model_dir, 'BFM_UV.mat') - assert osp.exists(bfm_uv_file), 'should contains BFM_UV.mat in your model directory' - uv_coords = face3d.morphable_model.load.load_uv_coords(bfm_uv_file) - self.uv_size = (224,224) - self.mask_stxr = 0.1 - self.mask_styr = 0.33 - self.mask_etxr = 0.9 - self.mask_etyr = 0.7 - self.tex_h , self.tex_w, self.tex_c = self.uv_size[1] , self.uv_size[0],3 - texcoord = np.zeros_like(uv_coords) - texcoord[:, 0] = uv_coords[:, 0] * (self.tex_h - 1) - texcoord[:, 1] = uv_coords[:, 1] * (self.tex_w - 1) - texcoord[:, 1] = self.tex_w - texcoord[:, 1] - 1 - self.texcoord = np.hstack((texcoord, np.zeros((texcoord.shape[0], 1)))) - self.X_ind = self.bfm.kpt_ind - self.mask_image_names = ['mask_white', 'mask_blue', 'mask_black', 'mask_green'] - self.mask_aug_probs = [0.4, 0.4, 0.1, 0.1] - #self.mask_images = [] - #self.mask_images_rgb = [] - #for image_name in mask_image_names: - # mask_image = ins_get_image(image_name) - # self.mask_images.append(mask_image) - # mask_image_rgb = mask_image[:,:,::-1] - # self.mask_images_rgb.append(mask_image_rgb) - - - def prepare(self, ctx_id=0, det_thresh=0.5, det_size=(128, 128)): - self.pre_ctx_id = ctx_id - self.pre_det_thresh = det_thresh - self.pre_det_size = det_size - - def transform(self, shape3D, R): - s = 1.0 - shape3D[:2, :] = shape3D[:2, :] - shape3D = s * np.dot(R, shape3D) - return shape3D - - def preprocess(self, vertices, w, h): - R1 = face3d.mesh.transform.angle2matrix([0, 180, 180]) - t = np.array([-w // 2, -h // 2, 0]) - vertices = vertices.T - vertices += t - vertices = self.transform(vertices.T, R1).T - return vertices - - def project_to_2d(self,vertices,s,angles,t): - transformed_vertices = self.bfm.transform(vertices, s, angles, t) - projected_vertices = transformed_vertices.copy() # using stantard camera & orth projection - return projected_vertices[self.bfm.kpt_ind, :2] - - def params_to_vertices(self,params , H , W): - fitted_sp, fitted_ep, fitted_s, fitted_angles, fitted_t = params - fitted_vertices = self.bfm.generate_vertices(fitted_sp, fitted_ep) - transformed_vertices = self.bfm.transform(fitted_vertices, fitted_s, fitted_angles, - fitted_t) - transformed_vertices = self.preprocess(transformed_vertices.T, W, H) - image_vertices = face3d.mesh.transform.to_image(transformed_vertices, H, W) - return image_vertices - - def draw_lmk(self, face_image): - faces = self.insfa.get(face_image, max_num=1) - if len(faces)==0: - return face_image - return self.insfa.draw_on(face_image, faces) - - def build_params(self, face_image): - #landmark = self.if3d68_handler.get(face_image) - #if landmark is None: - # return None #face not found - if self.insfa is None: - self.insfa = FaceAnalysis(name=self.mp_name, root=self.root, allowed_modules=['detection', 'landmark_3d_68']) - self.insfa.prepare(ctx_id=self.pre_ctx_id, det_thresh=self.pre_det_thresh, det_size=self.pre_det_size) - - faces = self.insfa.get(face_image, max_num=1) - if len(faces)==0: - return None - landmark = faces[0].landmark_3d_68[:,:2] - fitted_sp, fitted_ep, fitted_s, fitted_angles, fitted_t = self.bfm.fit(landmark, self.X_ind, max_iter = 3) - return [fitted_sp, fitted_ep, fitted_s, fitted_angles, fitted_t] - - def generate_mask_uv(self,mask, positions): - uv_size = (self.uv_size[1], self.uv_size[0], 3) - h, w, c = uv_size - uv = np.zeros(shape=(self.uv_size[1],self.uv_size[0], 3), dtype=np.uint8) - stxr, styr = positions[0], positions[1] - etxr, etyr = positions[2], positions[3] - stx, sty = int(w * stxr), int(h * styr) - etx, ety = int(w * etxr), int(h * etyr) - height = ety - sty - width = etx - stx - mask = cv2.resize(mask, (width, height)) - uv[sty:ety, stx:etx] = mask - return uv - - def render_mask(self,face_image, mask_image, params, input_is_rgb=False, auto_blend = True, positions=[0.1, 0.33, 0.9, 0.7]): - if isinstance(mask_image, str): - to_rgb = True if input_is_rgb else False - mask_image = ins_get_image(mask_image, to_rgb=to_rgb) - uv_mask_image = self.generate_mask_uv(mask_image, positions) - h,w,c = face_image.shape - image_vertices = self.params_to_vertices(params ,h,w) - output = (1-face3d.mesh.render.render_texture(image_vertices, self.bfm.full_triangles , uv_mask_image, self.texcoord, self.bfm.full_triangles, h , w ))*255 - output = output.astype(np.uint8) - if auto_blend: - mask_bd = (output==255).astype(np.uint8) - final = face_image*mask_bd + (1-mask_bd)*output - return final - return output - - #def mask_augmentation(self, face_image, label, input_is_rgb=False, p=0.1): - # if np.random.random()0 - assert len(mask_names)==len(mask_probs) - self.mask_names = mask_names - self.mask_probs = mask_probs - self.h_low = h_low - self.h_high = h_high - #self.hlabel = None - - - def apply(self, image, hlabel, mask_name, h_pos, **params): - #print(params.keys()) - #hlabel = params.get('hlabel') - assert len(hlabel)==237 or len(hlabel)==235, 'make sure the rec dataset includes mask params' - if len(hlabel)==237: - if hlabel[1]<0.0: - return image - hlabel = hlabel[2:] - #print(len(hlabel)) - mask_params = self.renderer.decode_params(hlabel) - image = self.renderer.render_mask(image, mask_name, mask_params, input_is_rgb=True, positions=[0.1, h_pos, 0.9, 0.7]) - return image - - @property - def targets_as_params(self): - return ["image", "hlabel"] - - def get_params_dependent_on_targets(self, params): - hlabel = params['hlabel'] - mask_name = np.random.choice(self.mask_names, p=self.mask_probs) - h_pos = np.random.uniform(self.h_low, self.h_high) - return {'hlabel': hlabel, 'mask_name': mask_name, 'h_pos': h_pos} - - def get_transform_init_args_names(self): - #return ("hlabel", 'mask_names', 'mask_probs', 'h_low', 'h_high') - return ('mask_names', 'mask_probs', 'h_low', 'h_high') - - -if __name__ == "__main__": - tool = MaskRenderer('antelope') - tool.prepare(det_size=(128,128)) - image = cv2.imread("Tom_Hanks_54745.png") - params = tool.build_params(image) - #out = tool.draw_lmk(image) - #cv2.imwrite('output_lmk.jpg', out) - #mask_image = cv2.imread("masks/mask1.jpg") - #mask_image = cv2.imread("masks/black-mask.png") - #mask_image = cv2.imread("masks/mask2.jpg") - mask_out = tool.render_mask(image, 'mask_blue', params)# use single thread to test the time cost - - cv2.imwrite('output_mask.jpg', mask_out) - - diff --git a/faceswapimg_data/insightface/commands/__init__.py b/faceswapimg_data/insightface/commands/__init__.py deleted file mode 100644 index 7fedaa0dbb14464243e1ebef1b8134c7fe524cd8..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/commands/__init__.py +++ /dev/null @@ -1,13 +0,0 @@ -from abc import ABC, abstractmethod -from argparse import ArgumentParser - - -class BaseInsightFaceCLICommand(ABC): - @staticmethod - @abstractmethod - def register_subcommand(parser: ArgumentParser): - raise NotImplementedError() - - @abstractmethod - def run(self): - raise NotImplementedError() diff --git a/faceswapimg_data/insightface/commands/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/commands/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index cd5d7ef604cf0f22a2c1908ee94dc60961a9638e..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/commands/__pycache__/__init__.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/commands/__pycache__/insightface_cli.cpython-39.pyc b/faceswapimg_data/insightface/commands/__pycache__/insightface_cli.cpython-39.pyc deleted file mode 100644 index 2869a5f970abc8a9195a53a21dd5898459092cd8..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/commands/__pycache__/insightface_cli.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/commands/__pycache__/model_download.cpython-39.pyc b/faceswapimg_data/insightface/commands/__pycache__/model_download.cpython-39.pyc deleted file mode 100644 index 1d14862e519190d3b1c89f7e074d464e131ca2b7..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/commands/__pycache__/model_download.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/commands/__pycache__/rec_add_mask_param.cpython-39.pyc b/faceswapimg_data/insightface/commands/__pycache__/rec_add_mask_param.cpython-39.pyc deleted file mode 100644 index 38813c0d4c47d83a8de752bd08778f9262f48260..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/commands/__pycache__/rec_add_mask_param.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/commands/insightface_cli.py b/faceswapimg_data/insightface/commands/insightface_cli.py deleted file mode 100644 index b8adbefcf0371c35689b2978c69510c1d3306846..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/commands/insightface_cli.py +++ /dev/null @@ -1,29 +0,0 @@ -#!/usr/bin/env python - -from argparse import ArgumentParser - -from .model_download import ModelDownloadCommand -from .rec_add_mask_param import RecAddMaskParamCommand - -def main(): - parser = ArgumentParser("InsightFace CLI tool", usage="insightface-cli []") - commands_parser = parser.add_subparsers(help="insightface-cli command-line helpers") - - # Register commands - ModelDownloadCommand.register_subcommand(commands_parser) - RecAddMaskParamCommand.register_subcommand(commands_parser) - - args = parser.parse_args() - - if not hasattr(args, "func"): - parser.print_help() - exit(1) - - # Run - service = args.func(args) - service.run() - - -if __name__ == "__main__": - main() - diff --git a/faceswapimg_data/insightface/commands/model_download.py b/faceswapimg_data/insightface/commands/model_download.py deleted file mode 100644 index c5a14a33d7767b5fdc0a780f326e2e39ca619823..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/commands/model_download.py +++ /dev/null @@ -1,36 +0,0 @@ -from argparse import ArgumentParser - -from . import BaseInsightFaceCLICommand -import os -import os.path as osp -import zipfile -import glob -from ..utils import download - - -def model_download_command_factory(args): - return ModelDownloadCommand(args.model, args.root, args.force) - - -class ModelDownloadCommand(BaseInsightFaceCLICommand): - #_url_format = '{repo_url}models/{file_name}.zip' - @staticmethod - def register_subcommand(parser: ArgumentParser): - download_parser = parser.add_parser("model.download") - download_parser.add_argument( - "--root", type=str, default='~/.insightface', help="Path to location to store the models" - ) - download_parser.add_argument( - "--force", action="store_true", help="Force the model to be download even if already in root-dir" - ) - download_parser.add_argument("model", type=str, help="Name of the model to download") - download_parser.set_defaults(func=model_download_command_factory) - - def __init__(self, model: str, root: str, force: bool): - self._model = model - self._root = root - self._force = force - - def run(self): - download('models', self._model, force=self._force, root=self._root) - diff --git a/faceswapimg_data/insightface/commands/rec_add_mask_param.py b/faceswapimg_data/insightface/commands/rec_add_mask_param.py deleted file mode 100644 index b00ee0b9a31c6426ea0804ec00fc68981d88a324..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/commands/rec_add_mask_param.py +++ /dev/null @@ -1,94 +0,0 @@ - -import numbers -import os -from argparse import ArgumentParser, Namespace - -import mxnet as mx -import numpy as np - -from ..app import MaskRenderer -from ..data.rec_builder import RecBuilder -from . import BaseInsightFaceCLICommand - - -def rec_add_mask_param_command_factory(args: Namespace): - - return RecAddMaskParamCommand( - args.input, args.output - ) - - -class RecAddMaskParamCommand(BaseInsightFaceCLICommand): - @staticmethod - def register_subcommand(parser: ArgumentParser): - _parser = parser.add_parser("rec.addmaskparam") - _parser.add_argument("input", type=str, help="input rec") - _parser.add_argument("output", type=str, help="output rec, with mask param") - _parser.set_defaults(func=rec_add_mask_param_command_factory) - - def __init__( - self, - input: str, - output: str, - ): - self._input = input - self._output = output - - - def run(self): - tool = MaskRenderer() - tool.prepare(ctx_id=0, det_size=(128,128)) - root_dir = self._input - path_imgrec = os.path.join(root_dir, 'train.rec') - path_imgidx = os.path.join(root_dir, 'train.idx') - imgrec = mx.recordio.MXIndexedRecordIO(path_imgidx, path_imgrec, 'r') - save_path = self._output - wrec=RecBuilder(path=save_path) - s = imgrec.read_idx(0) - header, _ = mx.recordio.unpack(s) - if header.flag > 0: - if len(header.label)==2: - imgidx = np.array(range(1, int(header.label[0]))) - else: - imgidx = np.array(list(self.imgrec.keys)) - else: - imgidx = np.array(list(self.imgrec.keys)) - stat = [0, 0] - print('total:', len(imgidx)) - for iid, idx in enumerate(imgidx): - #if iid==500000: - # break - if iid%1000==0: - print('processing:', iid) - s = imgrec.read_idx(idx) - header, img = mx.recordio.unpack(s) - label = header.label - if not isinstance(label, numbers.Number): - label = label[0] - sample = mx.image.imdecode(img).asnumpy() - bgr = sample[:,:,::-1] - params = tool.build_params(bgr) - #if iid<10: - # mask_out = tool.render_mask(bgr, 'mask_blue', params) - # cv2.imwrite('maskout_%d.jpg'%iid, mask_out) - stat[1] += 1 - if params is None: - wlabel = [label] + [-1.0]*236 - stat[0] += 1 - else: - #print(0, params[0].shape, params[0].dtype) - #print(1, params[1].shape, params[1].dtype) - #print(2, params[2]) - #print(3, len(params[3]), params[3][0].__class__) - #print(4, params[4].shape, params[4].dtype) - mask_label = tool.encode_params(params) - wlabel = [label, 0.0]+mask_label # 237 including idlabel, total mask params size is 235 - if iid==0: - print('param size:', len(mask_label), len(wlabel), label) - assert len(wlabel)==237 - wrec.add_image(img, wlabel) - #print(len(params)) - - wrec.close() - print('finished on', self._output, ', failed:', stat[0]) - diff --git a/faceswapimg_data/insightface/data/__init__.py b/faceswapimg_data/insightface/data/__init__.py deleted file mode 100644 index 665c59ec99b6ebf12822015e0350969c7903e243..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -from .image import get_image -from .pickle_object import get_object diff --git a/faceswapimg_data/insightface/data/__pycache__/__init__.cpython-310.pyc b/faceswapimg_data/insightface/data/__pycache__/__init__.cpython-310.pyc deleted file mode 100644 index c957dcb1efcd770f4a2a0b8bd86138ec11b29d84..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/data/__pycache__/__init__.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/data/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/data/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index 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a/faceswapimg_data/insightface/data/__pycache__/pickle_object.cpython-310.pyc b/faceswapimg_data/insightface/data/__pycache__/pickle_object.cpython-310.pyc deleted file mode 100644 index 28ef05b6854c9bdf4274d8caa9e229fab803dc7a..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/data/__pycache__/pickle_object.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/data/__pycache__/pickle_object.cpython-39.pyc b/faceswapimg_data/insightface/data/__pycache__/pickle_object.cpython-39.pyc deleted file mode 100644 index 6033f1141bdf5c50b9cb4bafd92d2019383272ef..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/data/__pycache__/pickle_object.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/data/__pycache__/rec_builder.cpython-39.pyc b/faceswapimg_data/insightface/data/__pycache__/rec_builder.cpython-39.pyc deleted file mode 100644 index 55800657b0a414640debf8cb3aaefa1f6b710068..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/data/__pycache__/rec_builder.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/data/image.py b/faceswapimg_data/insightface/data/image.py deleted file mode 100644 index 6d32c4bcb1b13d33bcb0d840cf7b8c08d183b3ea..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/image.py +++ /dev/null @@ -1,27 +0,0 @@ -import cv2 -import os -import os.path as osp -from pathlib import Path - -class ImageCache: - data = {} - -def get_image(name, to_rgb=False): - key = (name, to_rgb) - if key in ImageCache.data: - return ImageCache.data[key] - images_dir = osp.join(Path(__file__).parent.absolute(), 'images') - ext_names = ['.jpg', '.png', '.jpeg'] - image_file = None - for ext_name in ext_names: - _image_file = osp.join(images_dir, "%s%s"%(name, ext_name)) - if osp.exists(_image_file): - image_file = _image_file - break - assert image_file is not None, '%s not found'%name - img = cv2.imread(image_file) - if to_rgb: - img = img[:,:,::-1] - ImageCache.data[key] = img - return img - diff --git a/faceswapimg_data/insightface/data/images/Tom_Hanks_54745.png b/faceswapimg_data/insightface/data/images/Tom_Hanks_54745.png deleted file mode 100644 index 83387c3572e335441b617d0ba1f6a7f897b87f37..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/images/Tom_Hanks_54745.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8545da294e8c7c79911169c3915fed8528f1960cd0ed99b92453788ca4275083 -size 12123 diff --git a/faceswapimg_data/insightface/data/images/mask_black.jpg b/faceswapimg_data/insightface/data/images/mask_black.jpg deleted file mode 100644 index 68233a29abd20c692a151143e22abcd62461ce2b..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/images/mask_black.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d81c40c77a0e38717dc7e1d4ca994e2bc58efa804465ff8d09d915daeddf2c83 -size 21308 diff --git a/faceswapimg_data/insightface/data/images/mask_blue.jpg b/faceswapimg_data/insightface/data/images/mask_blue.jpg deleted file mode 100644 index 37a029125e7a6257d59cf2201be4b3409564d33e..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/images/mask_blue.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a55ec2b181de4143af27c441852ebb4bbd364fb0e0b9c46bb17631c59bc4c840 -size 44728 diff --git a/faceswapimg_data/insightface/data/images/mask_green.jpg b/faceswapimg_data/insightface/data/images/mask_green.jpg deleted file mode 100644 index 8ed0111375d6c189f2a071ec6fcbcbdb8607b4fb..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/images/mask_green.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:79526b5a31ef75cb7fe51227abc69d589e4b7ba39dbbf51e79147da577a3f154 -size 6116 diff --git a/faceswapimg_data/insightface/data/images/mask_white.jpg b/faceswapimg_data/insightface/data/images/mask_white.jpg deleted file mode 100644 index e6c92ec3c5dfadc36e8de5bc1c91572d602f2ce3..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/images/mask_white.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:3adee6ba6680d26197bbea95deb9d335252d01c2c51ead23e01af9784c310aa6 -size 78905 diff --git a/faceswapimg_data/insightface/data/images/t1.jpg b/faceswapimg_data/insightface/data/images/t1.jpg deleted file mode 100644 index 8fd6427a177bd01650c0150e9d02457c3a5dcddd..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/images/t1.jpg +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:47f682e945b659f93a9e490b9c9c4a2a864abe64dace9e1a2893845ddfd69489 -size 128824 diff --git a/faceswapimg_data/insightface/data/objects/meanshape_68.pkl b/faceswapimg_data/insightface/data/objects/meanshape_68.pkl deleted file mode 100644 index d5297e9e8ea5574298ddd287b058252e03aa18c1..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/objects/meanshape_68.pkl +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:39ffecf84ba73f0d0d7e49380833ba88713c9fcdec51df4f7ac45a48b8f4cc51 -size 974 diff --git a/faceswapimg_data/insightface/data/pickle_object.py b/faceswapimg_data/insightface/data/pickle_object.py deleted file mode 100644 index fbd87030ea15e1d01af1cd4cff1be2bc54cc82dd..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/pickle_object.py +++ /dev/null @@ -1,17 +0,0 @@ -import cv2 -import os -import os.path as osp -from pathlib import Path -import pickle - -def get_object(name): - objects_dir = osp.join(Path(__file__).parent.absolute(), 'objects') - if not name.endswith('.pkl'): - name = name+".pkl" - filepath = osp.join(objects_dir, name) - if not osp.exists(filepath): - return None - with open(filepath, 'rb') as f: - obj = pickle.load(f) - return obj - diff --git a/faceswapimg_data/insightface/data/rec_builder.py b/faceswapimg_data/insightface/data/rec_builder.py deleted file mode 100644 index ba7c3dbbce66fc0e9779f336776fb7cad12718b3..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/data/rec_builder.py +++ /dev/null @@ -1,71 +0,0 @@ -import pickle -import numpy as np -import os -import os.path as osp -import sys -import mxnet as mx - - -class RecBuilder(): - def __init__(self, path, image_size=(112, 112)): - self.path = path - self.image_size = image_size - self.widx = 0 - self.wlabel = 0 - self.max_label = -1 - assert not osp.exists(path), '%s exists' % path - os.makedirs(path) - self.writer = mx.recordio.MXIndexedRecordIO(os.path.join(path, 'train.idx'), - os.path.join(path, 'train.rec'), - 'w') - self.meta = [] - - def add(self, imgs): - #!!! img should be BGR!!!! - #assert label >= 0 - #assert label > self.last_label - assert len(imgs) > 0 - label = self.wlabel - for img in imgs: - idx = self.widx - image_meta = {'image_index': idx, 'image_classes': [label]} - header = mx.recordio.IRHeader(0, label, idx, 0) - if isinstance(img, np.ndarray): - s = mx.recordio.pack_img(header,img,quality=0,img_fmt='.jpg') - else: - s = mx.recordio.pack(header, img) - self.writer.write_idx(idx, s) - self.meta.append(image_meta) - self.widx += 1 - self.max_label = label - self.wlabel += 1 - - - def add_image(self, img, label): - #!!! img should be BGR!!!! - #assert label >= 0 - #assert label > self.last_label - idx = self.widx - header = mx.recordio.IRHeader(0, label, idx, 0) - if isinstance(label, list): - idlabel = label[0] - else: - idlabel = label - image_meta = {'image_index': idx, 'image_classes': [idlabel]} - if isinstance(img, np.ndarray): - s = mx.recordio.pack_img(header,img,quality=0,img_fmt='.jpg') - else: - s = mx.recordio.pack(header, img) - self.writer.write_idx(idx, s) - self.meta.append(image_meta) - self.widx += 1 - self.max_label = max(self.max_label, idlabel) - - def close(self): - with open(osp.join(self.path, 'train.meta'), 'wb') as pfile: - pickle.dump(self.meta, pfile, protocol=pickle.HIGHEST_PROTOCOL) - print('stat:', self.widx, self.wlabel) - with open(os.path.join(self.path, 'property'), 'w') as f: - f.write("%d,%d,%d\n" % (self.max_label+1, self.image_size[0], self.image_size[1])) - f.write("%d\n" % (self.widx)) - diff --git a/faceswapimg_data/insightface/model_zoo/__init__.py b/faceswapimg_data/insightface/model_zoo/__init__.py deleted file mode 100644 index 225623d6142c968b4040f391039bfab88bdd1b2a..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/model_zoo/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ -from .model_zoo import get_model -from .arcface_onnx import ArcFaceONNX -from .retinaface import RetinaFace -from .scrfd import SCRFD -from .landmark 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file mode 100644 index b537ce2ee15d4a1834d54e185f34e336aab30a77..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/model_zoo/arcface_onnx.py +++ /dev/null @@ -1,92 +0,0 @@ -# -*- coding: utf-8 -*- -# @Organization : insightface.ai -# @Author : Jia Guo -# @Time : 2021-05-04 -# @Function : - -from __future__ import division -import numpy as np -import cv2 -import onnx -import onnxruntime -from ..utils import face_align - -__all__ = [ - 'ArcFaceONNX', -] - - -class ArcFaceONNX: - def __init__(self, model_file=None, session=None): - assert model_file is not None - self.model_file = model_file - self.session = session - self.taskname = 'recognition' - find_sub = False - find_mul = False - model = onnx.load(self.model_file) - graph = model.graph - for nid, node in enumerate(graph.node[:8]): - #print(nid, node.name) - if node.name.startswith('Sub') or node.name.startswith('_minus'): - find_sub = True - if node.name.startswith('Mul') or node.name.startswith('_mul'): - find_mul = True - if find_sub and find_mul: - #mxnet arcface model - input_mean = 0.0 - input_std = 1.0 - else: - input_mean = 127.5 - input_std = 127.5 - self.input_mean = input_mean - self.input_std = input_std - #print('input mean and std:', self.input_mean, self.input_std) - if self.session is None: - self.session = onnxruntime.InferenceSession(self.model_file, None) - input_cfg = self.session.get_inputs()[0] - input_shape = input_cfg.shape - input_name = input_cfg.name - self.input_size = tuple(input_shape[2:4][::-1]) - self.input_shape = input_shape - outputs = self.session.get_outputs() - output_names = [] - for out in outputs: - output_names.append(out.name) - self.input_name = input_name - self.output_names = output_names - assert len(self.output_names)==1 - self.output_shape = outputs[0].shape - - def prepare(self, ctx_id, **kwargs): - if ctx_id<0: - self.session.set_providers(['CPUExecutionProvider']) - - def get(self, img, face): - aimg = face_align.norm_crop(img, landmark=face.kps, image_size=self.input_size[0]) - face.embedding = self.get_feat(aimg).flatten() - return face.embedding - - def compute_sim(self, feat1, feat2): - from numpy.linalg import norm - feat1 = feat1.ravel() - feat2 = feat2.ravel() - sim = np.dot(feat1, feat2) / (norm(feat1) * norm(feat2)) - return sim - - def get_feat(self, imgs): - if not isinstance(imgs, list): - imgs = [imgs] - input_size = self.input_size - - blob = cv2.dnn.blobFromImages(imgs, 1.0 / self.input_std, input_size, - (self.input_mean, self.input_mean, self.input_mean), swapRB=True) - net_out = self.session.run(self.output_names, {self.input_name: blob})[0] - return net_out - - def forward(self, batch_data): - blob = (batch_data - self.input_mean) / self.input_std - net_out = self.session.run(self.output_names, {self.input_name: blob})[0] - return net_out - - diff --git a/faceswapimg_data/insightface/model_zoo/attribute.py b/faceswapimg_data/insightface/model_zoo/attribute.py deleted file mode 100644 index 40c34de3f0995499448cf5779004cc1e5f3564fb..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/model_zoo/attribute.py +++ /dev/null @@ -1,94 +0,0 @@ -# -*- coding: utf-8 -*- -# @Organization : insightface.ai -# @Author : Jia Guo -# @Time : 2021-06-19 -# @Function : - -from __future__ import division -import numpy as np -import cv2 -import onnx -import onnxruntime -from ..utils import face_align - -__all__ = [ - 'Attribute', -] - - -class Attribute: - def __init__(self, model_file=None, session=None): - assert model_file is not None - self.model_file = model_file - self.session = session - find_sub = False - find_mul = False - model = onnx.load(self.model_file) - graph = model.graph - for nid, node in enumerate(graph.node[:8]): - #print(nid, node.name) - if node.name.startswith('Sub') or node.name.startswith('_minus'): - find_sub = True - if node.name.startswith('Mul') or node.name.startswith('_mul'): - find_mul = True - if nid<3 and node.name=='bn_data': - find_sub = True - find_mul = True - if find_sub and find_mul: - #mxnet arcface model - input_mean = 0.0 - input_std = 1.0 - else: - input_mean = 127.5 - input_std = 128.0 - self.input_mean = input_mean - self.input_std = input_std - #print('input mean and std:', model_file, self.input_mean, self.input_std) - if self.session is None: - self.session = onnxruntime.InferenceSession(self.model_file, None) - input_cfg = self.session.get_inputs()[0] - input_shape = input_cfg.shape - input_name = input_cfg.name - self.input_size = tuple(input_shape[2:4][::-1]) - self.input_shape = input_shape - outputs = self.session.get_outputs() - output_names = [] - for out in outputs: - output_names.append(out.name) - self.input_name = input_name - self.output_names = output_names - assert len(self.output_names)==1 - output_shape = outputs[0].shape - #print('init output_shape:', output_shape) - if output_shape[1]==3: - self.taskname = 'genderage' - else: - self.taskname = 'attribute_%d'%output_shape[1] - - def prepare(self, ctx_id, **kwargs): - if ctx_id<0: - self.session.set_providers(['CPUExecutionProvider']) - - def get(self, img, face): - bbox = face.bbox - w, h = (bbox[2] - bbox[0]), (bbox[3] - bbox[1]) - center = (bbox[2] + bbox[0]) / 2, (bbox[3] + bbox[1]) / 2 - rotate = 0 - _scale = self.input_size[0] / (max(w, h)*1.5) - #print('param:', img.shape, bbox, center, self.input_size, _scale, rotate) - aimg, M = face_align.transform(img, center, self.input_size[0], _scale, rotate) - input_size = tuple(aimg.shape[0:2][::-1]) - #assert input_size==self.input_size - blob = cv2.dnn.blobFromImage(aimg, 1.0/self.input_std, input_size, (self.input_mean, self.input_mean, self.input_mean), swapRB=True) - pred = self.session.run(self.output_names, {self.input_name : blob})[0][0] - if self.taskname=='genderage': - assert len(pred)==3 - gender = np.argmax(pred[:2]) - age = int(np.round(pred[2]*100)) - face['gender'] = gender - face['age'] = age - return gender, age - else: - return pred - - diff --git a/faceswapimg_data/insightface/model_zoo/inswapper.py b/faceswapimg_data/insightface/model_zoo/inswapper.py deleted file mode 100644 index dcaceb1f2dc590e066431bed5b708af66f6c74e0..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/model_zoo/inswapper.py +++ /dev/null @@ -1,105 +0,0 @@ -import time -import numpy as np -import onnxruntime -import cv2 -import onnx -from onnx import numpy_helper -from ..utils import face_align - - - - -class INSwapper(): - def __init__(self, model_file=None, session=None): - self.model_file = model_file - self.session = session - model = onnx.load(self.model_file) - graph = model.graph - self.emap = numpy_helper.to_array(graph.initializer[-1]) - self.input_mean = 0.0 - self.input_std = 255.0 - #print('input mean and std:', model_file, self.input_mean, self.input_std) - if self.session is None: - self.session = onnxruntime.InferenceSession(self.model_file, None) - inputs = self.session.get_inputs() - self.input_names = [] - for inp in inputs: - self.input_names.append(inp.name) - outputs = self.session.get_outputs() - output_names = [] - for out in outputs: - output_names.append(out.name) - self.output_names = output_names - assert len(self.output_names)==1 - output_shape = outputs[0].shape - input_cfg = inputs[0] - input_shape = input_cfg.shape - self.input_shape = input_shape - print('inswapper-shape:', self.input_shape) - self.input_size = tuple(input_shape[2:4][::-1]) - - def forward(self, img, latent): - img = (img - self.input_mean) / self.input_std - pred = self.session.run(self.output_names, {self.input_names[0]: img, self.input_names[1]: latent})[0] - return pred - - def get(self, img, target_face, source_face, paste_back=True): - aimg, M = face_align.norm_crop2(img, target_face.kps, self.input_size[0]) - blob = cv2.dnn.blobFromImage(aimg, 1.0 / self.input_std, self.input_size, - (self.input_mean, self.input_mean, self.input_mean), swapRB=True) - latent = source_face.normed_embedding.reshape((1,-1)) - latent = np.dot(latent, self.emap) - latent /= np.linalg.norm(latent) - pred = self.session.run(self.output_names, {self.input_names[0]: blob, self.input_names[1]: latent})[0] - #print(latent.shape, latent.dtype, pred.shape) - img_fake = pred.transpose((0,2,3,1))[0] - bgr_fake = np.clip(255 * img_fake, 0, 255).astype(np.uint8)[:,:,::-1] - if not paste_back: - return bgr_fake, M - else: - target_img = img - fake_diff = bgr_fake.astype(np.float32) - aimg.astype(np.float32) - fake_diff = np.abs(fake_diff).mean(axis=2) - fake_diff[:2,:] = 0 - fake_diff[-2:,:] = 0 - fake_diff[:,:2] = 0 - fake_diff[:,-2:] = 0 - IM = cv2.invertAffineTransform(M) - img_white = np.full((aimg.shape[0],aimg.shape[1]), 255, dtype=np.float32) - bgr_fake = cv2.warpAffine(bgr_fake, IM, (target_img.shape[1], target_img.shape[0]), borderValue=0.0) - img_white = cv2.warpAffine(img_white, IM, (target_img.shape[1], target_img.shape[0]), borderValue=0.0) - fake_diff = cv2.warpAffine(fake_diff, IM, (target_img.shape[1], target_img.shape[0]), borderValue=0.0) - img_white[img_white>20] = 255 - fthresh = 10 - fake_diff[fake_diff=fthresh] = 255 - img_mask = img_white - mask_h_inds, mask_w_inds = np.where(img_mask==255) - mask_h = np.max(mask_h_inds) - np.min(mask_h_inds) - mask_w = np.max(mask_w_inds) - np.min(mask_w_inds) - mask_size = int(np.sqrt(mask_h*mask_w)) - k = max(mask_size//10, 10) - #k = max(mask_size//20, 6) - #k = 6 - kernel = np.ones((k,k),np.uint8) - img_mask = cv2.erode(img_mask,kernel,iterations = 1) - kernel = np.ones((2,2),np.uint8) - fake_diff = cv2.dilate(fake_diff,kernel,iterations = 1) - k = max(mask_size//20, 5) - #k = 3 - #k = 3 - kernel_size = (k, k) - blur_size = tuple(2*i+1 for i in kernel_size) - img_mask = cv2.GaussianBlur(img_mask, blur_size, 0) - k = 5 - kernel_size = (k, k) - blur_size = tuple(2*i+1 for i in kernel_size) - fake_diff = cv2.GaussianBlur(fake_diff, blur_size, 0) - img_mask /= 255 - fake_diff /= 255 - #img_mask = fake_diff - img_mask = np.reshape(img_mask, [img_mask.shape[0],img_mask.shape[1],1]) - fake_merged = img_mask * bgr_fake + (1-img_mask) * target_img.astype(np.float32) - fake_merged = fake_merged.astype(np.uint8) - return fake_merged - diff --git a/faceswapimg_data/insightface/model_zoo/landmark.py b/faceswapimg_data/insightface/model_zoo/landmark.py deleted file mode 100644 index 598b4b29a2d0674d8bb25b681f921c61460d101c..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/model_zoo/landmark.py +++ /dev/null @@ -1,114 +0,0 @@ -# -*- coding: utf-8 -*- -# @Organization : insightface.ai -# @Author : Jia Guo -# @Time : 2021-05-04 -# @Function : - -from __future__ import division -import numpy as np -import cv2 -import onnx -import onnxruntime -from ..utils import face_align -from ..utils import transform -from ..data import get_object - -__all__ = [ - 'Landmark', -] - - -class Landmark: - def __init__(self, model_file=None, session=None): - assert model_file is not None - self.model_file = model_file - self.session = session - find_sub = False - find_mul = False - model = onnx.load(self.model_file) - graph = model.graph - for nid, node in enumerate(graph.node[:8]): - #print(nid, node.name) - if node.name.startswith('Sub') or node.name.startswith('_minus'): - find_sub = True - if node.name.startswith('Mul') or node.name.startswith('_mul'): - find_mul = True - if nid<3 and node.name=='bn_data': - find_sub = True - find_mul = True - if find_sub and find_mul: - #mxnet arcface model - input_mean = 0.0 - input_std = 1.0 - else: - input_mean = 127.5 - input_std = 128.0 - self.input_mean = input_mean - self.input_std = input_std - #print('input mean and std:', model_file, self.input_mean, self.input_std) - if self.session is None: - self.session = onnxruntime.InferenceSession(self.model_file, None) - input_cfg = self.session.get_inputs()[0] - input_shape = input_cfg.shape - input_name = input_cfg.name - self.input_size = tuple(input_shape[2:4][::-1]) - self.input_shape = input_shape - outputs = self.session.get_outputs() - output_names = [] - for out in outputs: - output_names.append(out.name) - self.input_name = input_name - self.output_names = output_names - assert len(self.output_names)==1 - output_shape = outputs[0].shape - self.require_pose = False - #print('init output_shape:', output_shape) - if output_shape[1]==3309: - self.lmk_dim = 3 - self.lmk_num = 68 - self.mean_lmk = get_object('meanshape_68.pkl') - self.require_pose = True - else: - self.lmk_dim = 2 - self.lmk_num = output_shape[1]//self.lmk_dim - self.taskname = 'landmark_%dd_%d'%(self.lmk_dim, self.lmk_num) - - def prepare(self, ctx_id, **kwargs): - if ctx_id<0: - self.session.set_providers(['CPUExecutionProvider']) - - def get(self, img, face): - bbox = face.bbox - w, h = (bbox[2] - bbox[0]), (bbox[3] - bbox[1]) - center = (bbox[2] + bbox[0]) / 2, (bbox[3] + bbox[1]) / 2 - rotate = 0 - _scale = self.input_size[0] / (max(w, h)*1.5) - #print('param:', img.shape, bbox, center, self.input_size, _scale, rotate) - aimg, M = face_align.transform(img, center, self.input_size[0], _scale, rotate) - input_size = tuple(aimg.shape[0:2][::-1]) - #assert input_size==self.input_size - blob = cv2.dnn.blobFromImage(aimg, 1.0/self.input_std, input_size, (self.input_mean, self.input_mean, self.input_mean), swapRB=True) - pred = self.session.run(self.output_names, {self.input_name : blob})[0][0] - if pred.shape[0] >= 3000: - pred = pred.reshape((-1, 3)) - else: - pred = pred.reshape((-1, 2)) - if self.lmk_num < pred.shape[0]: - pred = pred[self.lmk_num*-1:,:] - pred[:, 0:2] += 1 - pred[:, 0:2] *= (self.input_size[0] // 2) - if pred.shape[1] == 3: - pred[:, 2] *= (self.input_size[0] // 2) - - IM = cv2.invertAffineTransform(M) - pred = face_align.trans_points(pred, IM) - face[self.taskname] = pred - if self.require_pose: - P = transform.estimate_affine_matrix_3d23d(self.mean_lmk, pred) - s, R, t = transform.P2sRt(P) - rx, ry, rz = transform.matrix2angle(R) - pose = np.array( [rx, ry, rz], dtype=np.float32 ) - face['pose'] = pose #pitch, yaw, roll - return pred - - diff --git a/faceswapimg_data/insightface/model_zoo/model_store.py b/faceswapimg_data/insightface/model_zoo/model_store.py deleted file mode 100644 index 50bb85d314f5b7a0ea8211d2cd21186e32791592..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/model_zoo/model_store.py +++ /dev/null @@ -1,103 +0,0 @@ -""" -This code file mainly comes from https://github.com/dmlc/gluon-cv/blob/master/gluoncv/model_zoo/model_store.py -""" -from __future__ import print_function - -__all__ = ['get_model_file'] -import os -import zipfile -import glob - -from ..utils import download, check_sha1 - -_model_sha1 = { - name: checksum - for checksum, name in [ - ('95be21b58e29e9c1237f229dae534bd854009ce0', 'arcface_r100_v1'), - ('', 'arcface_mfn_v1'), - ('39fd1e087a2a2ed70a154ac01fecaa86c315d01b', 'retinaface_r50_v1'), - ('2c9de8116d1f448fd1d4661f90308faae34c990a', 'retinaface_mnet025_v1'), - ('0db1d07921d005e6c9a5b38e059452fc5645e5a4', 'retinaface_mnet025_v2'), - ('7dd8111652b7aac2490c5dcddeb268e53ac643e6', 'genderage_v1'), - ] -} - -base_repo_url = 'https://insightface.ai/files/' -_url_format = '{repo_url}models/{file_name}.zip' - - -def short_hash(name): - if name not in _model_sha1: - raise ValueError( - 'Pretrained model for {name} is not available.'.format(name=name)) - return _model_sha1[name][:8] - - -def find_params_file(dir_path): - if not os.path.exists(dir_path): - return None - paths = glob.glob("%s/*.params" % dir_path) - if len(paths) == 0: - return None - paths = sorted(paths) - return paths[-1] - - -def get_model_file(name, root=os.path.join('~', '.insightface', 'models')): - r"""Return location for the pretrained on local file system. - - This function will download from online model zoo when model cannot be found or has mismatch. - The root directory will be created if it doesn't exist. - - Parameters - ---------- - name : str - Name of the model. - root : str, default '~/.mxnet/models' - Location for keeping the model parameters. - - Returns - ------- - file_path - Path to the requested pretrained model file. - """ - - file_name = name - root = os.path.expanduser(root) - dir_path = os.path.join(root, name) - file_path = find_params_file(dir_path) - #file_path = os.path.join(root, file_name + '.params') - sha1_hash = _model_sha1[name] - if file_path is not None: - if check_sha1(file_path, sha1_hash): - return file_path - else: - print( - 'Mismatch in the content of model file detected. Downloading again.' - ) - else: - print('Model file is not found. Downloading.') - - if not os.path.exists(root): - os.makedirs(root) - if not os.path.exists(dir_path): - os.makedirs(dir_path) - - zip_file_path = os.path.join(root, file_name + '.zip') - repo_url = base_repo_url - if repo_url[-1] != '/': - repo_url = repo_url + '/' - download(_url_format.format(repo_url=repo_url, file_name=file_name), - path=zip_file_path, - overwrite=True) - with zipfile.ZipFile(zip_file_path) as zf: - zf.extractall(dir_path) - os.remove(zip_file_path) - file_path = find_params_file(dir_path) - - if check_sha1(file_path, sha1_hash): - return file_path - else: - raise ValueError( - 'Downloaded file has different hash. Please try again.') - diff --git a/faceswapimg_data/insightface/model_zoo/model_zoo.py b/faceswapimg_data/insightface/model_zoo/model_zoo.py deleted file mode 100644 index fc6283114f7b550f084749e65d8b55e1393fe62f..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/model_zoo/model_zoo.py +++ /dev/null @@ -1,98 +0,0 @@ -# -*- coding: utf-8 -*- -# @Organization : insightface.ai -# @Author : Jia Guo -# @Time : 2021-05-04 -# @Function : - -import os -import os.path as osp -import glob -import onnxruntime -from .arcface_onnx import * -from .retinaface import * -#from .scrfd import * -from .landmark import * -from .attribute import Attribute -from .inswapper import INSwapper -from ..utils import download_onnx - -__all__ = ['get_model'] - - -class PickableInferenceSession(onnxruntime.InferenceSession): - # This is a wrapper to make the current InferenceSession class pickable. - def __init__(self, model_path, **kwargs): - super().__init__(model_path, **kwargs) - self.model_path = model_path - - def __getstate__(self): - return {'model_path': self.model_path} - - def __setstate__(self, values): - model_path = values['model_path'] - self.__init__(model_path) - -class ModelRouter: - def __init__(self, onnx_file): - self.onnx_file = onnx_file - - def get_model(self, **kwargs): - session = PickableInferenceSession(self.onnx_file, **kwargs) - print(f'Applied providers: {session._providers}, with options: {session._provider_options}') - inputs = session.get_inputs() - input_cfg = inputs[0] - input_shape = input_cfg.shape - outputs = session.get_outputs() - - if len(outputs)>=5: - return RetinaFace(model_file=self.onnx_file, session=session) - elif input_shape[2]==192 and input_shape[3]==192: - return Landmark(model_file=self.onnx_file, session=session) - elif input_shape[2]==96 and input_shape[3]==96: - return Attribute(model_file=self.onnx_file, session=session) - elif len(inputs)==2 and input_shape[2]==128 and input_shape[3]==128: - return INSwapper(model_file=self.onnx_file, session=session) - elif input_shape[2]==input_shape[3] and input_shape[2]>=112 and input_shape[2]%16==0: - return ArcFaceONNX(model_file=self.onnx_file, session=session) - else: - #raise RuntimeError('error on model routing') - return None - -def find_onnx_file(dir_path): - if not os.path.exists(dir_path): - return None - paths = glob.glob("%s/*.onnx" % dir_path) - if len(paths) == 0: - return None - paths = sorted(paths) - return paths[-1] - -def get_default_providers(): - return ['CUDAExecutionProvider', 'CPUExecutionProvider'] - -def get_default_provider_options(): - return None - -def get_model(name, **kwargs): - root = kwargs.get('root', '~/.insightface') - root = os.path.expanduser(root) - model_root = osp.join(root, 'models') - allow_download = kwargs.get('download', False) - download_zip = kwargs.get('download_zip', False) - if not name.endswith('.onnx'): - model_dir = os.path.join(model_root, name) - model_file = find_onnx_file(model_dir) - if model_file is None: - return None - else: - model_file = name - if not osp.exists(model_file) and allow_download: - model_file = download_onnx('models', model_file, root=root, download_zip=download_zip) - assert osp.exists(model_file), 'model_file %s should exist'%model_file - assert osp.isfile(model_file), 'model_file %s should be a file'%model_file - router = ModelRouter(model_file) - providers = kwargs.get('providers', get_default_providers()) - provider_options = kwargs.get('provider_options', get_default_provider_options()) - model = router.get_model(providers=providers, provider_options=provider_options) - return model - diff --git a/faceswapimg_data/insightface/model_zoo/retinaface.py b/faceswapimg_data/insightface/model_zoo/retinaface.py deleted file mode 100644 index fc4ad91ed70688b38503127137e928dc7e5433e1..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/model_zoo/retinaface.py +++ /dev/null @@ -1,301 +0,0 @@ -# -*- coding: utf-8 -*- -# @Organization : insightface.ai -# @Author : Jia Guo -# @Time : 2021-09-18 -# @Function : - -from __future__ import division -import datetime -import numpy as np -import onnx -import onnxruntime -import os -import os.path as osp -import cv2 -import sys - -def softmax(z): - assert len(z.shape) == 2 - s = np.max(z, axis=1) - s = s[:, np.newaxis] # necessary step to do broadcasting - e_x = np.exp(z - s) - div = np.sum(e_x, axis=1) - div = div[:, np.newaxis] # dito - return e_x / div - -def distance2bbox(points, distance, max_shape=None): - """Decode distance prediction to bounding box. - - Args: - points (Tensor): Shape (n, 2), [x, y]. - distance (Tensor): Distance from the given point to 4 - boundaries (left, top, right, bottom). - max_shape (tuple): Shape of the image. - - Returns: - Tensor: Decoded bboxes. - """ - x1 = points[:, 0] - distance[:, 0] - y1 = points[:, 1] - distance[:, 1] - x2 = points[:, 0] + distance[:, 2] - y2 = points[:, 1] + distance[:, 3] - if max_shape is not None: - x1 = x1.clamp(min=0, max=max_shape[1]) - y1 = y1.clamp(min=0, max=max_shape[0]) - x2 = x2.clamp(min=0, max=max_shape[1]) - y2 = y2.clamp(min=0, max=max_shape[0]) - return np.stack([x1, y1, x2, y2], axis=-1) - -def distance2kps(points, distance, max_shape=None): - """Decode distance prediction to bounding box. - - Args: - points (Tensor): Shape (n, 2), [x, y]. - distance (Tensor): Distance from the given point to 4 - boundaries (left, top, right, bottom). - max_shape (tuple): Shape of the image. - - Returns: - Tensor: Decoded bboxes. - """ - preds = [] - for i in range(0, distance.shape[1], 2): - px = points[:, i%2] + distance[:, i] - py = points[:, i%2+1] + distance[:, i+1] - if max_shape is not None: - px = px.clamp(min=0, max=max_shape[1]) - py = py.clamp(min=0, max=max_shape[0]) - preds.append(px) - preds.append(py) - return np.stack(preds, axis=-1) - -class RetinaFace: - def __init__(self, model_file=None, session=None): - import onnxruntime - self.model_file = model_file - self.session = session - self.taskname = 'detection' - if self.session is None: - assert self.model_file is not None - assert osp.exists(self.model_file) - self.session = onnxruntime.InferenceSession(self.model_file, None) - self.center_cache = {} - self.nms_thresh = 0.4 - self.det_thresh = 0.5 - self._init_vars() - - def _init_vars(self): - input_cfg = self.session.get_inputs()[0] - input_shape = input_cfg.shape - #print(input_shape) - if isinstance(input_shape[2], str): - self.input_size = None - else: - self.input_size = tuple(input_shape[2:4][::-1]) - #print('image_size:', self.image_size) - input_name = input_cfg.name - self.input_shape = input_shape - outputs = self.session.get_outputs() - output_names = [] - for o in outputs: - output_names.append(o.name) - self.input_name = input_name - self.output_names = output_names - self.input_mean = 127.5 - self.input_std = 128.0 - #print(self.output_names) - #assert len(outputs)==10 or len(outputs)==15 - self.use_kps = False - self._anchor_ratio = 1.0 - self._num_anchors = 1 - if len(outputs)==6: - self.fmc = 3 - self._feat_stride_fpn = [8, 16, 32] - self._num_anchors = 2 - elif len(outputs)==9: - self.fmc = 3 - self._feat_stride_fpn = [8, 16, 32] - self._num_anchors = 2 - self.use_kps = True - elif len(outputs)==10: - self.fmc = 5 - self._feat_stride_fpn = [8, 16, 32, 64, 128] - self._num_anchors = 1 - elif len(outputs)==15: - self.fmc = 5 - self._feat_stride_fpn = [8, 16, 32, 64, 128] - self._num_anchors = 1 - self.use_kps = True - - def prepare(self, ctx_id, **kwargs): - if ctx_id<0: - self.session.set_providers(['CPUExecutionProvider']) - nms_thresh = kwargs.get('nms_thresh', None) - if nms_thresh is not None: - self.nms_thresh = nms_thresh - det_thresh = kwargs.get('det_thresh', None) - if det_thresh is not None: - self.det_thresh = det_thresh - input_size = kwargs.get('input_size', None) - if input_size is not None: - if self.input_size is not None: - print('warning: det_size is already set in detection model, ignore') - else: - self.input_size = input_size - - def forward(self, img, threshold): - scores_list = [] - bboxes_list = [] - kpss_list = [] - input_size = tuple(img.shape[0:2][::-1]) - blob = cv2.dnn.blobFromImage(img, 1.0/self.input_std, input_size, (self.input_mean, self.input_mean, self.input_mean), swapRB=True) - net_outs = self.session.run(self.output_names, {self.input_name : blob}) - - input_height = blob.shape[2] - input_width = blob.shape[3] - fmc = self.fmc - for idx, stride in enumerate(self._feat_stride_fpn): - scores = net_outs[idx] - bbox_preds = net_outs[idx+fmc] - bbox_preds = bbox_preds * stride - if self.use_kps: - kps_preds = net_outs[idx+fmc*2] * stride - height = input_height // stride - width = input_width // stride - K = height * width - key = (height, width, stride) - if key in self.center_cache: - anchor_centers = self.center_cache[key] - else: - #solution-1, c style: - #anchor_centers = np.zeros( (height, width, 2), dtype=np.float32 ) - #for i in range(height): - # anchor_centers[i, :, 1] = i - #for i in range(width): - # anchor_centers[:, i, 0] = i - - #solution-2: - #ax = np.arange(width, dtype=np.float32) - #ay = np.arange(height, dtype=np.float32) - #xv, yv = np.meshgrid(np.arange(width), np.arange(height)) - #anchor_centers = np.stack([xv, yv], axis=-1).astype(np.float32) - - #solution-3: - anchor_centers = np.stack(np.mgrid[:height, :width][::-1], axis=-1).astype(np.float32) - #print(anchor_centers.shape) - - anchor_centers = (anchor_centers * stride).reshape( (-1, 2) ) - if self._num_anchors>1: - anchor_centers = np.stack([anchor_centers]*self._num_anchors, axis=1).reshape( (-1,2) ) - if len(self.center_cache)<100: - self.center_cache[key] = anchor_centers - - pos_inds = np.where(scores>=threshold)[0] - bboxes = distance2bbox(anchor_centers, bbox_preds) - pos_scores = scores[pos_inds] - pos_bboxes = bboxes[pos_inds] - scores_list.append(pos_scores) - bboxes_list.append(pos_bboxes) - if self.use_kps: - kpss = distance2kps(anchor_centers, kps_preds) - #kpss = kps_preds - kpss = kpss.reshape( (kpss.shape[0], -1, 2) ) - pos_kpss = kpss[pos_inds] - kpss_list.append(pos_kpss) - return scores_list, bboxes_list, kpss_list - - def detect(self, img, input_size = None, max_num=0, metric='default'): - assert input_size is not None or self.input_size is not None - input_size = self.input_size if input_size is None else input_size - - im_ratio = float(img.shape[0]) / img.shape[1] - model_ratio = float(input_size[1]) / input_size[0] - if im_ratio>model_ratio: - new_height = input_size[1] - new_width = int(new_height / im_ratio) - else: - new_width = input_size[0] - new_height = int(new_width * im_ratio) - det_scale = float(new_height) / img.shape[0] - resized_img = cv2.resize(img, (new_width, new_height)) - det_img = np.zeros( (input_size[1], input_size[0], 3), dtype=np.uint8 ) - det_img[:new_height, :new_width, :] = resized_img - - scores_list, bboxes_list, kpss_list = self.forward(det_img, self.det_thresh) - - scores = np.vstack(scores_list) - scores_ravel = scores.ravel() - order = scores_ravel.argsort()[::-1] - bboxes = np.vstack(bboxes_list) / det_scale - if self.use_kps: - kpss = np.vstack(kpss_list) / det_scale - pre_det = np.hstack((bboxes, scores)).astype(np.float32, copy=False) - pre_det = pre_det[order, :] - keep = self.nms(pre_det) - det = pre_det[keep, :] - if self.use_kps: - kpss = kpss[order,:,:] - kpss = kpss[keep,:,:] - else: - kpss = None - if max_num > 0 and det.shape[0] > max_num: - area = (det[:, 2] - det[:, 0]) * (det[:, 3] - - det[:, 1]) - img_center = img.shape[0] // 2, img.shape[1] // 2 - offsets = np.vstack([ - (det[:, 0] + det[:, 2]) / 2 - img_center[1], - (det[:, 1] + det[:, 3]) / 2 - img_center[0] - ]) - offset_dist_squared = np.sum(np.power(offsets, 2.0), 0) - if metric=='max': - values = area - else: - values = area - offset_dist_squared * 2.0 # some extra weight on the centering - bindex = np.argsort( - values)[::-1] # some extra weight on the centering - bindex = bindex[0:max_num] - det = det[bindex, :] - if kpss is not None: - kpss = kpss[bindex, :] - return det, kpss - - def nms(self, dets): - thresh = self.nms_thresh - x1 = dets[:, 0] - y1 = dets[:, 1] - x2 = dets[:, 2] - y2 = dets[:, 3] - scores = dets[:, 4] - - areas = (x2 - x1 + 1) * (y2 - y1 + 1) - order = scores.argsort()[::-1] - - keep = [] - while order.size > 0: - i = order[0] - keep.append(i) - xx1 = np.maximum(x1[i], x1[order[1:]]) - yy1 = np.maximum(y1[i], y1[order[1:]]) - xx2 = np.minimum(x2[i], x2[order[1:]]) - yy2 = np.minimum(y2[i], y2[order[1:]]) - - w = np.maximum(0.0, xx2 - xx1 + 1) - h = np.maximum(0.0, yy2 - yy1 + 1) - inter = w * h - ovr = inter / (areas[i] + areas[order[1:]] - inter) - - inds = np.where(ovr <= thresh)[0] - order = order[inds + 1] - - return keep - -def get_retinaface(name, download=False, root='~/.insightface/models', **kwargs): - if not download: - assert os.path.exists(name) - return RetinaFace(name) - else: - from .model_store import get_model_file - _file = get_model_file("retinaface_%s" % name, root=root) - return retinaface(_file) - - diff --git a/faceswapimg_data/insightface/model_zoo/scrfd.py b/faceswapimg_data/insightface/model_zoo/scrfd.py deleted file mode 100644 index 674db4bba761157592dfb95c5d1638da1099f89c..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/model_zoo/scrfd.py +++ /dev/null @@ -1,348 +0,0 @@ -# -*- coding: utf-8 -*- -# @Organization : insightface.ai -# @Author : Jia Guo -# @Time : 2021-05-04 -# @Function : - -from __future__ import division -import datetime -import numpy as np -import onnx -import onnxruntime -import os -import os.path as osp -import cv2 -import sys - -def softmax(z): - assert len(z.shape) == 2 - s = np.max(z, axis=1) - s = s[:, np.newaxis] # necessary step to do broadcasting - e_x = np.exp(z - s) - div = np.sum(e_x, axis=1) - div = div[:, np.newaxis] # dito - return e_x / div - -def distance2bbox(points, distance, max_shape=None): - """Decode distance prediction to bounding box. - - Args: - points (Tensor): Shape (n, 2), [x, y]. - distance (Tensor): Distance from the given point to 4 - boundaries (left, top, right, bottom). - max_shape (tuple): Shape of the image. - - Returns: - Tensor: Decoded bboxes. - """ - x1 = points[:, 0] - distance[:, 0] - y1 = points[:, 1] - distance[:, 1] - x2 = points[:, 0] + distance[:, 2] - y2 = points[:, 1] + distance[:, 3] - if max_shape is not None: - x1 = x1.clamp(min=0, max=max_shape[1]) - y1 = y1.clamp(min=0, max=max_shape[0]) - x2 = x2.clamp(min=0, max=max_shape[1]) - y2 = y2.clamp(min=0, max=max_shape[0]) - return np.stack([x1, y1, x2, y2], axis=-1) - -def distance2kps(points, distance, max_shape=None): - """Decode distance prediction to bounding box. - - Args: - points (Tensor): Shape (n, 2), [x, y]. - distance (Tensor): Distance from the given point to 4 - boundaries (left, top, right, bottom). - max_shape (tuple): Shape of the image. - - Returns: - Tensor: Decoded bboxes. - """ - preds = [] - for i in range(0, distance.shape[1], 2): - px = points[:, i%2] + distance[:, i] - py = points[:, i%2+1] + distance[:, i+1] - if max_shape is not None: - px = px.clamp(min=0, max=max_shape[1]) - py = py.clamp(min=0, max=max_shape[0]) - preds.append(px) - preds.append(py) - return np.stack(preds, axis=-1) - -class SCRFD: - def __init__(self, model_file=None, session=None): - import onnxruntime - self.model_file = model_file - self.session = session - self.taskname = 'detection' - self.batched = False - if self.session is None: - assert self.model_file is not None - assert osp.exists(self.model_file) - self.session = onnxruntime.InferenceSession(self.model_file, None) - self.center_cache = {} - self.nms_thresh = 0.4 - self.det_thresh = 0.5 - self._init_vars() - - def _init_vars(self): - input_cfg = self.session.get_inputs()[0] - input_shape = input_cfg.shape - #print(input_shape) - if isinstance(input_shape[2], str): - self.input_size = None - else: - self.input_size = tuple(input_shape[2:4][::-1]) - #print('image_size:', self.image_size) - input_name = input_cfg.name - self.input_shape = input_shape - outputs = self.session.get_outputs() - if len(outputs[0].shape) == 3: - self.batched = True - output_names = [] - for o in outputs: - output_names.append(o.name) - self.input_name = input_name - self.output_names = output_names - self.input_mean = 127.5 - self.input_std = 128.0 - #print(self.output_names) - #assert len(outputs)==10 or len(outputs)==15 - self.use_kps = False - self._anchor_ratio = 1.0 - self._num_anchors = 1 - if len(outputs)==6: - self.fmc = 3 - self._feat_stride_fpn = [8, 16, 32] - self._num_anchors = 2 - elif len(outputs)==9: - self.fmc = 3 - self._feat_stride_fpn = [8, 16, 32] - self._num_anchors = 2 - self.use_kps = True - elif len(outputs)==10: - self.fmc = 5 - self._feat_stride_fpn = [8, 16, 32, 64, 128] - self._num_anchors = 1 - elif len(outputs)==15: - self.fmc = 5 - self._feat_stride_fpn = [8, 16, 32, 64, 128] - self._num_anchors = 1 - self.use_kps = True - - def prepare(self, ctx_id, **kwargs): - if ctx_id<0: - self.session.set_providers(['CPUExecutionProvider']) - nms_thresh = kwargs.get('nms_thresh', None) - if nms_thresh is not None: - self.nms_thresh = nms_thresh - det_thresh = kwargs.get('det_thresh', None) - if det_thresh is not None: - self.det_thresh = det_thresh - input_size = kwargs.get('input_size', None) - if input_size is not None: - if self.input_size is not None: - print('warning: det_size is already set in scrfd model, ignore') - else: - self.input_size = input_size - - def forward(self, img, threshold): - scores_list = [] - bboxes_list = [] - kpss_list = [] - input_size = tuple(img.shape[0:2][::-1]) - blob = cv2.dnn.blobFromImage(img, 1.0/self.input_std, input_size, (self.input_mean, self.input_mean, self.input_mean), swapRB=True) - net_outs = self.session.run(self.output_names, {self.input_name : blob}) - - input_height = blob.shape[2] - input_width = blob.shape[3] - fmc = self.fmc - for idx, stride in enumerate(self._feat_stride_fpn): - # If model support batch dim, take first output - if self.batched: - scores = net_outs[idx][0] - bbox_preds = net_outs[idx + fmc][0] - bbox_preds = bbox_preds * stride - if self.use_kps: - kps_preds = net_outs[idx + fmc * 2][0] * stride - # If model doesn't support batching take output as is - else: - scores = net_outs[idx] - bbox_preds = net_outs[idx + fmc] - bbox_preds = bbox_preds * stride - if self.use_kps: - kps_preds = net_outs[idx + fmc * 2] * stride - - height = input_height // stride - width = input_width // stride - K = height * width - key = (height, width, stride) - if key in self.center_cache: - anchor_centers = self.center_cache[key] - else: - #solution-1, c style: - #anchor_centers = np.zeros( (height, width, 2), dtype=np.float32 ) - #for i in range(height): - # anchor_centers[i, :, 1] = i - #for i in range(width): - # anchor_centers[:, i, 0] = i - - #solution-2: - #ax = np.arange(width, dtype=np.float32) - #ay = np.arange(height, dtype=np.float32) - #xv, yv = np.meshgrid(np.arange(width), np.arange(height)) - #anchor_centers = np.stack([xv, yv], axis=-1).astype(np.float32) - - #solution-3: - anchor_centers = np.stack(np.mgrid[:height, :width][::-1], axis=-1).astype(np.float32) - #print(anchor_centers.shape) - - anchor_centers = (anchor_centers * stride).reshape( (-1, 2) ) - if self._num_anchors>1: - anchor_centers = np.stack([anchor_centers]*self._num_anchors, axis=1).reshape( (-1,2) ) - if len(self.center_cache)<100: - self.center_cache[key] = anchor_centers - - pos_inds = np.where(scores>=threshold)[0] - bboxes = distance2bbox(anchor_centers, bbox_preds) - pos_scores = scores[pos_inds] - pos_bboxes = bboxes[pos_inds] - scores_list.append(pos_scores) - bboxes_list.append(pos_bboxes) - if self.use_kps: - kpss = distance2kps(anchor_centers, kps_preds) - #kpss = kps_preds - kpss = kpss.reshape( (kpss.shape[0], -1, 2) ) - pos_kpss = kpss[pos_inds] - kpss_list.append(pos_kpss) - return scores_list, bboxes_list, kpss_list - - def detect(self, img, input_size = None, max_num=0, metric='default'): - assert input_size is not None or self.input_size is not None - input_size = self.input_size if input_size is None else input_size - - im_ratio = float(img.shape[0]) / img.shape[1] - model_ratio = float(input_size[1]) / input_size[0] - if im_ratio>model_ratio: - new_height = input_size[1] - new_width = int(new_height / im_ratio) - else: - new_width = input_size[0] - new_height = int(new_width * im_ratio) - det_scale = float(new_height) / img.shape[0] - resized_img = cv2.resize(img, (new_width, new_height)) - det_img = np.zeros( (input_size[1], input_size[0], 3), dtype=np.uint8 ) - det_img[:new_height, :new_width, :] = resized_img - - scores_list, bboxes_list, kpss_list = self.forward(det_img, self.det_thresh) - - scores = np.vstack(scores_list) - scores_ravel = scores.ravel() - order = scores_ravel.argsort()[::-1] - bboxes = np.vstack(bboxes_list) / det_scale - if self.use_kps: - kpss = np.vstack(kpss_list) / det_scale - pre_det = np.hstack((bboxes, scores)).astype(np.float32, copy=False) - pre_det = pre_det[order, :] - keep = self.nms(pre_det) - det = pre_det[keep, :] - if self.use_kps: - kpss = kpss[order,:,:] - kpss = kpss[keep,:,:] - else: - kpss = None - if max_num > 0 and det.shape[0] > max_num: - area = (det[:, 2] - det[:, 0]) * (det[:, 3] - - det[:, 1]) - img_center = img.shape[0] // 2, img.shape[1] // 2 - offsets = np.vstack([ - (det[:, 0] + det[:, 2]) / 2 - img_center[1], - (det[:, 1] + det[:, 3]) / 2 - img_center[0] - ]) - offset_dist_squared = np.sum(np.power(offsets, 2.0), 0) - if metric=='max': - values = area - else: - values = area - offset_dist_squared * 2.0 # some extra weight on the centering - bindex = np.argsort( - values)[::-1] # some extra weight on the centering - bindex = bindex[0:max_num] - det = det[bindex, :] - if kpss is not None: - kpss = kpss[bindex, :] - return det, kpss - - def nms(self, dets): - thresh = self.nms_thresh - x1 = dets[:, 0] - y1 = dets[:, 1] - x2 = dets[:, 2] - y2 = dets[:, 3] - scores = dets[:, 4] - - areas = (x2 - x1 + 1) * (y2 - y1 + 1) - order = scores.argsort()[::-1] - - keep = [] - while order.size > 0: - i = order[0] - keep.append(i) - xx1 = np.maximum(x1[i], x1[order[1:]]) - yy1 = np.maximum(y1[i], y1[order[1:]]) - xx2 = np.minimum(x2[i], x2[order[1:]]) - yy2 = np.minimum(y2[i], y2[order[1:]]) - - w = np.maximum(0.0, xx2 - xx1 + 1) - h = np.maximum(0.0, yy2 - yy1 + 1) - inter = w * h - ovr = inter / (areas[i] + areas[order[1:]] - inter) - - inds = np.where(ovr <= thresh)[0] - order = order[inds + 1] - - return keep - -def get_scrfd(name, download=False, root='~/.insightface/models', **kwargs): - if not download: - assert os.path.exists(name) - return SCRFD(name) - else: - from .model_store import get_model_file - _file = get_model_file("scrfd_%s" % name, root=root) - return SCRFD(_file) - - -def scrfd_2p5gkps(**kwargs): - return get_scrfd("2p5gkps", download=True, **kwargs) - - -if __name__ == '__main__': - import glob - detector = SCRFD(model_file='./det.onnx') - detector.prepare(-1) - img_paths = ['tests/data/t1.jpg'] - for img_path in img_paths: - img = cv2.imread(img_path) - - for _ in range(1): - ta = datetime.datetime.now() - #bboxes, kpss = detector.detect(img, 0.5, input_size = (640, 640)) - bboxes, kpss = detector.detect(img, 0.5) - tb = datetime.datetime.now() - print('all cost:', (tb-ta).total_seconds()*1000) - print(img_path, bboxes.shape) - if kpss is not None: - print(kpss.shape) - for i in range(bboxes.shape[0]): - bbox = bboxes[i] - x1,y1,x2,y2,score = bbox.astype(np.int) - cv2.rectangle(img, (x1,y1) , (x2,y2) , (255,0,0) , 2) - if kpss is not None: - kps = kpss[i] - for kp in kps: - kp = kp.astype(np.int) - cv2.circle(img, tuple(kp) , 1, (0,0,255) , 2) - filename = img_path.split('/')[-1] - print('output:', filename) - cv2.imwrite('./outputs/%s'%filename, img) - diff --git a/faceswapimg_data/insightface/models/buffalo_l.zip b/faceswapimg_data/insightface/models/buffalo_l.zip deleted file mode 100644 index 3c8de83bd164f9ac2abc7eb4486ff01b1fd3af4f..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/models/buffalo_l.zip +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:80ffe37d8a5940d59a7384c201a2a38d4741f2f3c51eef46ebb28218a7b0ca2f -size 288621354 diff --git a/faceswapimg_data/insightface/models/buffalo_l/1k3d68.onnx b/faceswapimg_data/insightface/models/buffalo_l/1k3d68.onnx deleted file mode 100644 index 221aa2f02a6faccddb2723529e1f93c7db2edbdc..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/models/buffalo_l/1k3d68.onnx +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:df5c06b8a0c12e422b2ed8947b8869faa4105387f199c477af038aa01f9a45cc -size 143607619 diff --git a/faceswapimg_data/insightface/models/buffalo_l/2d106det.onnx b/faceswapimg_data/insightface/models/buffalo_l/2d106det.onnx deleted file mode 100644 index cdb163d88b5f51396855ebc795e0114322c98b6b..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/models/buffalo_l/2d106det.onnx +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f001b856447c413801ef5c42091ed0cd516fcd21f2d6b79635b1e733a7109dbf -size 5030888 diff --git a/faceswapimg_data/insightface/models/buffalo_l/det_10g.onnx b/faceswapimg_data/insightface/models/buffalo_l/det_10g.onnx deleted file mode 100644 index aa586e034379fa5ea5babc8aa73d47afcd0fa6c2..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/models/buffalo_l/det_10g.onnx +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5838f7fe053675b1c7a08b633df49e7af5495cee0493c7dcf6697200b85b5b91 -size 16923827 diff --git a/faceswapimg_data/insightface/models/buffalo_l/genderage.onnx b/faceswapimg_data/insightface/models/buffalo_l/genderage.onnx deleted file mode 100644 index fcf638481cea978e99ddabd914ccd3b70c8401cb..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/models/buffalo_l/genderage.onnx +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4fde69b1c810857b88c64a335084f1c3fe8f01246c9a191b48c7bb756d6652fb -size 1322532 diff --git a/faceswapimg_data/insightface/models/buffalo_l/w600k_r50.onnx b/faceswapimg_data/insightface/models/buffalo_l/w600k_r50.onnx deleted file mode 100644 index 571d2bb9ffd76399b23260620b9101b20bcc4e99..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/models/buffalo_l/w600k_r50.onnx +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4c06341c33c2ca1f86781dab0e829f88ad5b64be9fba56e56bc9ebdefc619e43 -size 174383860 diff --git a/faceswapimg_data/insightface/thirdparty/__init__.py b/faceswapimg_data/insightface/thirdparty/__init__.py deleted file mode 100644 index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000 diff --git a/faceswapimg_data/insightface/thirdparty/__pycache__/__init__.cpython-310.pyc b/faceswapimg_data/insightface/thirdparty/__pycache__/__init__.cpython-310.pyc deleted file mode 100644 index a7febffe0cb006098c758f4d903371946c77a8c5..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/__pycache__/__init__.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index f37b483a8a3dde5875327174a8db1bd38b58981f..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/__pycache__/__init__.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/__init__.py b/faceswapimg_data/insightface/thirdparty/face3d/__init__.py deleted file mode 100644 index 68b284753ecf951292cf69347f797db4ec1ad41e..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ -#import mesh -#import morphable_model -from . import mesh -from . import morphable_model diff --git a/faceswapimg_data/insightface/thirdparty/face3d/__pycache__/__init__.cpython-310.pyc b/faceswapimg_data/insightface/thirdparty/face3d/__pycache__/__init__.cpython-310.pyc deleted file mode 100644 index 0d333ef13c81545de2fa7e6773a4205126fcdd65..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/__pycache__/__init__.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index 8640ff3e4c4db8e828f524b845a968516e72b29d..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/__pycache__/__init__.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__init__.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh/__init__.py deleted file mode 100644 index 4e432960656282c76c1393f63d06c62e3a04c465..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -#from __future__ import absolute_import -#from cython import mesh_core_cython -#import io -#import vis -#import transform -#import light -#import render - -from .cython import mesh_core_cython -from . import io -from . import vis -from . import transform -from . import light -from . import render - diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/__init__.cpython-310.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/__init__.cpython-310.pyc deleted file mode 100644 index b2488f1f59c7a0488ac47e41f3e43d66755c2069..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/__init__.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index c67e3e34aa43dfb5eb5b06c69c239e078a195fbf..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/__init__.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/io.cpython-39.pyc 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1a7a1947849eb48218154b1b7d625edc66289350..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/render.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/transform.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/transform.cpython-39.pyc deleted file mode 100644 index 85feb68a0bc8eca4e9e2f7997dca6de3ceb39ed7..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/transform.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/vis.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/vis.cpython-39.pyc deleted file mode 100644 index 20c97e4c091c2b9bf3082d17bddac612b8dccbbf..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh/__pycache__/vis.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/__pycache__/setup.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/__pycache__/setup.cpython-39.pyc deleted file mode 100644 index ce3169e6971d51304659d941243b90021dfceaa2..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/__pycache__/setup.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core.cpp b/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core.cpp deleted file mode 100644 index aeea4dae814a1c43c2cfc59f3636f8d43ca9093d..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core.cpp +++ /dev/null @@ -1,375 +0,0 @@ -/* -functions that can not be optimazed by vertorization in python. -1. rasterization.(need process each triangle) -2. normal of each vertex.(use one-ring, need process each vertex) -3. write obj(seems that it can be verctorized? anyway, writing it in c++ is simple, so also add function here. --> however, why writting in c++ is still slow?) - -Author: Yao Feng -Mail: yaofeng1995@gmail.com -*/ - -#include "mesh_core.h" - - -/* Judge whether the point is in the triangle -Method: - http://blackpawn.com/texts/pointinpoly/ -Args: - point: [x, y] - tri_points: three vertices(2d points) of a triangle. 2 coords x 3 vertices -Returns: - bool: true for in triangle -*/ -bool isPointInTri(point p, point p0, point p1, point p2) -{ - // vectors - point v0, v1, v2; - v0 = p2 - p0; - v1 = p1 - p0; - v2 = p - p0; - - // dot products - float dot00 = v0.dot(v0); //v0.x * v0.x + v0.y * v0.y //np.dot(v0.T, v0) - float dot01 = v0.dot(v1); //v0.x * v1.x + v0.y * v1.y //np.dot(v0.T, v1) - float dot02 = v0.dot(v2); //v0.x * v2.x + v0.y * v2.y //np.dot(v0.T, v2) - float dot11 = v1.dot(v1); //v1.x * v1.x + v1.y * v1.y //np.dot(v1.T, v1) - float dot12 = v1.dot(v2); //v1.x * v2.x + v1.y * v2.y//np.dot(v1.T, v2) - - // barycentric coordinates - float inverDeno; - if(dot00*dot11 - dot01*dot01 == 0) - inverDeno = 0; - else - inverDeno = 1/(dot00*dot11 - dot01*dot01); - - float u = (dot11*dot02 - dot01*dot12)*inverDeno; - float v = (dot00*dot12 - dot01*dot02)*inverDeno; - - // check if point in triangle - return (u >= 0) && (v >= 0) && (u + v < 1); -} - - -void get_point_weight(float* weight, point p, point p0, point p1, point p2) -{ - // vectors - point v0, v1, v2; - v0 = p2 - p0; - v1 = p1 - p0; - v2 = p - p0; - - // dot products - float dot00 = v0.dot(v0); //v0.x * v0.x + v0.y * v0.y //np.dot(v0.T, v0) - float dot01 = v0.dot(v1); //v0.x * v1.x + v0.y * v1.y //np.dot(v0.T, v1) - float dot02 = v0.dot(v2); //v0.x * v2.x + v0.y * v2.y //np.dot(v0.T, v2) - float dot11 = v1.dot(v1); //v1.x * v1.x + v1.y * v1.y //np.dot(v1.T, v1) - float dot12 = v1.dot(v2); //v1.x * v2.x + v1.y * v2.y//np.dot(v1.T, v2) - - // barycentric coordinates - float inverDeno; - if(dot00*dot11 - dot01*dot01 == 0) - inverDeno = 0; - else - inverDeno = 1/(dot00*dot11 - dot01*dot01); - - float u = (dot11*dot02 - dot01*dot12)*inverDeno; - float v = (dot00*dot12 - dot01*dot02)*inverDeno; - - // weight - weight[0] = 1 - u - v; - weight[1] = v; - weight[2] = u; -} - - -void _get_normal_core( - float* normal, float* tri_normal, int* triangles, - int ntri) -{ - int i, j; - int tri_p0_ind, tri_p1_ind, tri_p2_ind; - - for(i = 0; i < ntri; i++) - { - tri_p0_ind = triangles[3*i]; - tri_p1_ind = triangles[3*i + 1]; - tri_p2_ind = triangles[3*i + 2]; - - for(j = 0; j < 3; j++) - { - normal[3*tri_p0_ind + j] = normal[3*tri_p0_ind + j] + tri_normal[3*i + j]; - normal[3*tri_p1_ind + j] = normal[3*tri_p1_ind + j] + tri_normal[3*i + j]; - normal[3*tri_p2_ind + j] = normal[3*tri_p2_ind + j] + tri_normal[3*i + j]; - } - } -} - - -void _rasterize_triangles_core( - float* vertices, int* triangles, - float* depth_buffer, int* triangle_buffer, float* barycentric_weight, - int nver, int ntri, - int h, int w) -{ - int i; - int x, y, k; - int tri_p0_ind, tri_p1_ind, tri_p2_ind; - point p0, p1, p2, p; - int x_min, x_max, y_min, y_max; - float p_depth, p0_depth, p1_depth, p2_depth; - float weight[3]; - - for(i = 0; i < ntri; i++) - { - tri_p0_ind = triangles[3*i]; - tri_p1_ind = triangles[3*i + 1]; - tri_p2_ind = triangles[3*i + 2]; - - p0.x = vertices[3*tri_p0_ind]; p0.y = vertices[3*tri_p0_ind + 1]; p0_depth = vertices[3*tri_p0_ind + 2]; - p1.x = vertices[3*tri_p1_ind]; p1.y = vertices[3*tri_p1_ind + 1]; p1_depth = vertices[3*tri_p1_ind + 2]; - p2.x = vertices[3*tri_p2_ind]; p2.y = vertices[3*tri_p2_ind + 1]; p2_depth = vertices[3*tri_p2_ind + 2]; - - x_min = max((int)ceil(min(p0.x, min(p1.x, p2.x))), 0); - x_max = min((int)floor(max(p0.x, max(p1.x, p2.x))), w - 1); - - y_min = max((int)ceil(min(p0.y, min(p1.y, p2.y))), 0); - y_max = min((int)floor(max(p0.y, max(p1.y, p2.y))), h - 1); - - if(x_max < x_min || y_max < y_min) - { - continue; - } - - for(y = y_min; y <= y_max; y++) //h - { - for(x = x_min; x <= x_max; x++) //w - { - p.x = x; p.y = y; - if(p.x < 2 || p.x > w - 3 || p.y < 2 || p.y > h - 3 || isPointInTri(p, p0, p1, p2)) - { - get_point_weight(weight, p, p0, p1, p2); - p_depth = weight[0]*p0_depth + weight[1]*p1_depth + weight[2]*p2_depth; - - if((p_depth > depth_buffer[y*w + x])) - { - depth_buffer[y*w + x] = p_depth; - triangle_buffer[y*w + x] = i; - for(k = 0; k < 3; k++) - { - barycentric_weight[y*w*3 + x*3 + k] = weight[k]; - } - } - } - } - } - } -} - - -void _render_colors_core( - float* image, float* vertices, int* triangles, - float* colors, - float* depth_buffer, - int nver, int ntri, - int h, int w, int c) -{ - int i; - int x, y, k; - int tri_p0_ind, tri_p1_ind, tri_p2_ind; - point p0, p1, p2, p; - int x_min, x_max, y_min, y_max; - float p_depth, p0_depth, p1_depth, p2_depth; - float p_color, p0_color, p1_color, p2_color; - float weight[3]; - - for(i = 0; i < ntri; i++) - { - tri_p0_ind = triangles[3*i]; - tri_p1_ind = triangles[3*i + 1]; - tri_p2_ind = triangles[3*i + 2]; - - p0.x = vertices[3*tri_p0_ind]; p0.y = vertices[3*tri_p0_ind + 1]; p0_depth = vertices[3*tri_p0_ind + 2]; - p1.x = vertices[3*tri_p1_ind]; p1.y = vertices[3*tri_p1_ind + 1]; p1_depth = vertices[3*tri_p1_ind + 2]; - p2.x = vertices[3*tri_p2_ind]; p2.y = vertices[3*tri_p2_ind + 1]; p2_depth = vertices[3*tri_p2_ind + 2]; - - x_min = max((int)ceil(min(p0.x, min(p1.x, p2.x))), 0); - x_max = min((int)floor(max(p0.x, max(p1.x, p2.x))), w - 1); - - y_min = max((int)ceil(min(p0.y, min(p1.y, p2.y))), 0); - y_max = min((int)floor(max(p0.y, max(p1.y, p2.y))), h - 1); - - if(x_max < x_min || y_max < y_min) - { - continue; - } - - for(y = y_min; y <= y_max; y++) //h - { - for(x = x_min; x <= x_max; x++) //w - { - p.x = x; p.y = y; - if(p.x < 2 || p.x > w - 3 || p.y < 2 || p.y > h - 3 || isPointInTri(p, p0, p1, p2)) - { - get_point_weight(weight, p, p0, p1, p2); - p_depth = weight[0]*p0_depth + weight[1]*p1_depth + weight[2]*p2_depth; - - if((p_depth > depth_buffer[y*w + x])) - { - for(k = 0; k < c; k++) // c - { - p0_color = colors[c*tri_p0_ind + k]; - p1_color = colors[c*tri_p1_ind + k]; - p2_color = colors[c*tri_p2_ind + k]; - - p_color = weight[0]*p0_color + weight[1]*p1_color + weight[2]*p2_color; - image[y*w*c + x*c + k] = p_color; - } - - depth_buffer[y*w + x] = p_depth; - } - } - } - } - } -} - - -void _render_texture_core( - float* image, float* vertices, int* triangles, - float* texture, float* tex_coords, int* tex_triangles, - float* depth_buffer, - int nver, int tex_nver, int ntri, - int h, int w, int c, - int tex_h, int tex_w, int tex_c, - int mapping_type) -{ - int i; - int x, y, k; - int tri_p0_ind, tri_p1_ind, tri_p2_ind; - int tex_tri_p0_ind, tex_tri_p1_ind, tex_tri_p2_ind; - point p0, p1, p2, p; - point tex_p0, tex_p1, tex_p2, tex_p; - int x_min, x_max, y_min, y_max; - float weight[3]; - float p_depth, p0_depth, p1_depth, p2_depth; - float xd, yd; - float ul, ur, dl, dr; - for(i = 0; i < ntri; i++) - { - // mesh - tri_p0_ind = triangles[3*i]; - tri_p1_ind = triangles[3*i + 1]; - tri_p2_ind = triangles[3*i + 2]; - - p0.x = vertices[3*tri_p0_ind]; p0.y = vertices[3*tri_p0_ind + 1]; p0_depth = vertices[3*tri_p0_ind + 2]; - p1.x = vertices[3*tri_p1_ind]; p1.y = vertices[3*tri_p1_ind + 1]; p1_depth = vertices[3*tri_p1_ind + 2]; - p2.x = vertices[3*tri_p2_ind]; p2.y = vertices[3*tri_p2_ind + 1]; p2_depth = vertices[3*tri_p2_ind + 2]; - - // texture - tex_tri_p0_ind = tex_triangles[3*i]; - tex_tri_p1_ind = tex_triangles[3*i + 1]; - tex_tri_p2_ind = tex_triangles[3*i + 2]; - - tex_p0.x = tex_coords[3*tex_tri_p0_ind]; tex_p0.y = tex_coords[3*tri_p0_ind + 1]; - tex_p1.x = tex_coords[3*tex_tri_p1_ind]; tex_p1.y = tex_coords[3*tri_p1_ind + 1]; - tex_p2.x = tex_coords[3*tex_tri_p2_ind]; tex_p2.y = tex_coords[3*tri_p2_ind + 1]; - - - x_min = max((int)ceil(min(p0.x, min(p1.x, p2.x))), 0); - x_max = min((int)floor(max(p0.x, max(p1.x, p2.x))), w - 1); - - y_min = max((int)ceil(min(p0.y, min(p1.y, p2.y))), 0); - y_max = min((int)floor(max(p0.y, max(p1.y, p2.y))), h - 1); - - - if(x_max < x_min || y_max < y_min) - { - continue; - } - - for(y = y_min; y <= y_max; y++) //h - { - for(x = x_min; x <= x_max; x++) //w - { - p.x = x; p.y = y; - if(p.x < 2 || p.x > w - 3 || p.y < 2 || p.y > h - 3 || isPointInTri(p, p0, p1, p2)) - { - get_point_weight(weight, p, p0, p1, p2); - p_depth = weight[0]*p0_depth + weight[1]*p1_depth + weight[2]*p2_depth; - - if((p_depth > depth_buffer[y*w + x])) - { - // -- color from texture - // cal weight in mesh tri - get_point_weight(weight, p, p0, p1, p2); - // cal coord in texture - tex_p = tex_p0*weight[0] + tex_p1*weight[1] + tex_p2*weight[2]; - tex_p.x = max(min(tex_p.x, float(tex_w - 1)), float(0)); - tex_p.y = max(min(tex_p.y, float(tex_h - 1)), float(0)); - - yd = tex_p.y - floor(tex_p.y); - xd = tex_p.x - floor(tex_p.x); - for(k = 0; k < c; k++) - { - if(mapping_type==0)// nearest - { - image[y*w*c + x*c + k] = texture[int(round(tex_p.y))*tex_w*tex_c + int(round(tex_p.x))*tex_c + k]; - } - else//bilinear interp - { - ul = texture[(int)floor(tex_p.y)*tex_w*tex_c + (int)floor(tex_p.x)*tex_c + k]; - ur = texture[(int)floor(tex_p.y)*tex_w*tex_c + (int)ceil(tex_p.x)*tex_c + k]; - dl = texture[(int)ceil(tex_p.y)*tex_w*tex_c + (int)floor(tex_p.x)*tex_c + k]; - dr = texture[(int)ceil(tex_p.y)*tex_w*tex_c + (int)ceil(tex_p.x)*tex_c + k]; - - image[y*w*c + x*c + k] = ul*(1-xd)*(1-yd) + ur*xd*(1-yd) + dl*(1-xd)*yd + dr*xd*yd; - } - - } - - depth_buffer[y*w + x] = p_depth; - } - } - } - } - } -} - - - -// ------------------------------------------------- write -// obj write -// Ref: https://github.com/patrikhuber/eos/blob/master/include/eos/core/Mesh.hpp -void _write_obj_with_colors_texture(string filename, string mtl_name, - float* vertices, int* triangles, float* colors, float* uv_coords, - int nver, int ntri, int ntexver) -{ - int i; - - ofstream obj_file(filename.c_str()); - - // first line of the obj file: the mtl name - obj_file << "mtllib " << mtl_name << endl; - - // write vertices - for (i = 0; i < nver; ++i) - { - obj_file << "v " << vertices[3*i] << " " << vertices[3*i + 1] << " " << vertices[3*i + 2] << colors[3*i] << " " << colors[3*i + 1] << " " << colors[3*i + 2] << endl; - } - - // write uv coordinates - for (i = 0; i < ntexver; ++i) - { - //obj_file << "vt " << uv_coords[2*i] << " " << (1 - uv_coords[2*i + 1]) << endl; - obj_file << "vt " << uv_coords[2*i] << " " << uv_coords[2*i + 1] << endl; - } - - obj_file << "usemtl FaceTexture" << endl; - // write triangles - for (i = 0; i < ntri; ++i) - { - // obj_file << "f " << triangles[3*i] << "/" << triangles[3*i] << " " << triangles[3*i + 1] << "/" << triangles[3*i + 1] << " " << triangles[3*i + 2] << "/" << triangles[3*i + 2] << endl; - obj_file << "f " << triangles[3*i + 2] << "/" << triangles[3*i + 2] << " " << triangles[3*i + 1] << "/" << triangles[3*i + 1] << " " << triangles[3*i] << "/" << triangles[3*i] << endl; - } - -} diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core.h b/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core.h deleted file mode 100644 index 3eb00290f36f8cbe27a17d88bca31fe718d77e2c..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core.h +++ /dev/null @@ -1,83 +0,0 @@ -#ifndef MESH_CORE_HPP_ -#define MESH_CORE_HPP_ - -#include -#include -#include -#include -#include -#include - -using namespace std; - -class point -{ - public: - float x; - float y; - - float dot(point p) - { - return this->x * p.x + this->y * p.y; - } - - point operator-(const point& p) - { - point np; - np.x = this->x - p.x; - np.y = this->y - p.y; - return np; - } - - point operator+(const point& p) - { - point np; - np.x = this->x + p.x; - np.y = this->y + p.y; - return np; - } - - point operator*(float s) - { - point np; - np.x = s * this->x; - np.y = s * this->y; - return np; - } -}; - - -bool isPointInTri(point p, point p0, point p1, point p2, int h, int w); -void get_point_weight(float* weight, point p, point p0, point p1, point p2); - -void _get_normal_core( - float* normal, float* tri_normal, int* triangles, - int ntri); - -void _rasterize_triangles_core( - float* vertices, int* triangles, - float* depth_buffer, int* triangle_buffer, float* barycentric_weight, - int nver, int ntri, - int h, int w); - -void _render_colors_core( - float* image, float* vertices, int* triangles, - float* colors, - float* depth_buffer, - int nver, int ntri, - int h, int w, int c); - -void _render_texture_core( - float* image, float* vertices, int* triangles, - float* texture, float* tex_coords, int* tex_triangles, - float* depth_buffer, - int nver, int tex_nver, int ntri, - int h, int w, int c, - int tex_h, int tex_w, int tex_c, - int mapping_type); - -void _write_obj_with_colors_texture(string filename, string mtl_name, - float* vertices, int* triangles, float* colors, float* uv_coords, - int nver, int ntri, int ntexver); - -#endif \ No newline at end of file diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.c b/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.c deleted file mode 100644 index e113ac54ae03e4a79ea2a975ef33e67deb9d93d6..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.c +++ /dev/null @@ -1,9091 +0,0 @@ -/* Generated by Cython 0.28.2 */ - -/* BEGIN: Cython Metadata -{ - "distutils": { - "depends": [ - "insightface/thirdparty/face3d/mesh/cython/mesh_core.h" - ], - "include_dirs": [ - "insightface/thirdparty/face3d/mesh/cython" - ], - "name": "mesh_core_cython", - "sources": [ - "insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.pyx" - ] - }, - "module_name": "mesh_core_cython" -} -END: Cython Metadata */ - -#define PY_SSIZE_T_CLEAN -#include "Python.h" 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PyMethod_New(func, self) : (Py_INCREF(func), func)) -#else - #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass) -#endif -#if CYTHON_USE_ASYNC_SLOTS - #if PY_VERSION_HEX >= 0x030500B1 - #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods - #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async) - #else - #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved)) - #endif -#else - #define __Pyx_PyType_AsAsync(obj) NULL -#endif -#ifndef __Pyx_PyAsyncMethodsStruct - typedef struct { - unaryfunc am_await; - unaryfunc am_aiter; - unaryfunc am_anext; - } __Pyx_PyAsyncMethodsStruct; -#endif - -#if defined(WIN32) || defined(MS_WINDOWS) - #define _USE_MATH_DEFINES -#endif -#include -#ifdef NAN -#define __PYX_NAN() ((float) NAN) -#else -static CYTHON_INLINE float __PYX_NAN() { - float value; - memset(&value, 0xFF, sizeof(value)); - return value; -} -#endif -#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL) -#define __Pyx_truncl trunc -#else -#define __Pyx_truncl truncl -#endif - - -#define __PYX_ERR(f_index, lineno, Ln_error) \ -{ \ - __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \ -} - -#ifndef __PYX_EXTERN_C - #ifdef __cplusplus - #define __PYX_EXTERN_C extern "C" - #else - #define __PYX_EXTERN_C extern - #endif -#endif - -#define __PYX_HAVE__mesh_core_cython -#define __PYX_HAVE_API__mesh_core_cython -/* Early includes */ -#include -#include -#include "numpy/arrayobject.h" -#include "numpy/ufuncobject.h" -#include "ios" -#include "new" -#include "stdexcept" -#include "typeinfo" -#include -#include "mesh_core.h" -#ifdef _OPENMP -#include -#endif /* _OPENMP */ - -#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS) -#define CYTHON_WITHOUT_ASSERTIONS -#endif - -typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding; - const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry; - -#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0 -#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0 -#define __PYX_DEFAULT_STRING_ENCODING "" -#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString -#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize -#define __Pyx_uchar_cast(c) ((unsigned char)c) -#define __Pyx_long_cast(x) ((long)x) -#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\ - (sizeof(type) < sizeof(Py_ssize_t)) ||\ - (sizeof(type) > sizeof(Py_ssize_t) &&\ - likely(v < (type)PY_SSIZE_T_MAX ||\ - v == (type)PY_SSIZE_T_MAX) &&\ - (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\ - v == (type)PY_SSIZE_T_MIN))) ||\ - (sizeof(type) == sizeof(Py_ssize_t) &&\ - (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\ - v == (type)PY_SSIZE_T_MAX))) ) -#if defined (__cplusplus) && __cplusplus >= 201103L - #include - #define __Pyx_sst_abs(value) std::abs(value) -#elif SIZEOF_INT >= SIZEOF_SIZE_T - #define __Pyx_sst_abs(value) abs(value) -#elif SIZEOF_LONG >= SIZEOF_SIZE_T - #define __Pyx_sst_abs(value) labs(value) -#elif defined (_MSC_VER) - #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value)) -#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L - #define __Pyx_sst_abs(value) llabs(value) -#elif defined (__GNUC__) - #define __Pyx_sst_abs(value) __builtin_llabs(value) -#else - #define __Pyx_sst_abs(value) ((value<0) ? -value : value) -#endif -static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*); -static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length); -#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s)) -#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l) -#define __Pyx_PyBytes_FromString PyBytes_FromString -#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*); -#if PY_MAJOR_VERSION < 3 - #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString - #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize -#else - #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString - #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize -#endif -#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s)) -#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s)) -#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s) -#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s) -#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s) -#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s) -#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s) -static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) { - const Py_UNICODE *u_end = u; - while (*u_end++) ; - return (size_t)(u_end - u - 1); -} -#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u)) -#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode -#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode -#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj) -#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None) -#define __Pyx_PyBool_FromLong(b) ((b) ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False)) -static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*); -static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x); -#define __Pyx_PySequence_Tuple(obj)\ - (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj)) -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); -static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); -#if CYTHON_ASSUME_SAFE_MACROS -#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) -#else -#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) -#endif -#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) -#if PY_MAJOR_VERSION >= 3 -#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) -#else -#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) -#endif -#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x)) -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII -static int __Pyx_sys_getdefaultencoding_not_ascii; -static int __Pyx_init_sys_getdefaultencoding_params(void) { - PyObject* sys; - PyObject* default_encoding = NULL; - PyObject* ascii_chars_u = NULL; - PyObject* ascii_chars_b = NULL; - const char* default_encoding_c; - sys = PyImport_ImportModule("sys"); - if (!sys) goto bad; - default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); - Py_DECREF(sys); - if (!default_encoding) goto bad; - default_encoding_c = PyBytes_AsString(default_encoding); - if (!default_encoding_c) goto bad; - if (strcmp(default_encoding_c, "ascii") == 0) { - __Pyx_sys_getdefaultencoding_not_ascii = 0; - } else { - char ascii_chars[128]; - int c; - for (c = 0; c < 128; c++) { - ascii_chars[c] = c; - } - __Pyx_sys_getdefaultencoding_not_ascii = 1; - ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); - if (!ascii_chars_u) goto bad; - ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); - if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { - PyErr_Format( - PyExc_ValueError, - "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", - default_encoding_c); - goto bad; - } - Py_DECREF(ascii_chars_u); - Py_DECREF(ascii_chars_b); - } - Py_DECREF(default_encoding); - return 0; -bad: - Py_XDECREF(default_encoding); - Py_XDECREF(ascii_chars_u); 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-}; -static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); -static PyCodeObject *__pyx_find_code_object(int code_line); -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); - -/* AddTraceback.proto */ -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename); - -/* BufferStructDeclare.proto */ -typedef struct { - Py_ssize_t shape, strides, suboffsets; -} __Pyx_Buf_DimInfo; -typedef struct { - size_t refcount; - Py_buffer pybuffer; -} __Pyx_Buffer; -typedef struct { - __Pyx_Buffer *rcbuffer; - char *data; - __Pyx_Buf_DimInfo diminfo[8]; -} __Pyx_LocalBuf_ND; - -#if PY_MAJOR_VERSION < 3 - static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); - static void __Pyx_ReleaseBuffer(Py_buffer *view); -#else - #define __Pyx_GetBuffer PyObject_GetBuffer - #define __Pyx_ReleaseBuffer PyBuffer_Release -#endif - - -/* RealImag.proto */ -#if CYTHON_CCOMPLEX - #ifdef __cplusplus - #define __Pyx_CREAL(z) ((z).real()) - #define __Pyx_CIMAG(z) ((z).imag()) - #else - #define __Pyx_CREAL(z) (__real__(z)) - #define __Pyx_CIMAG(z) (__imag__(z)) - #endif -#else - #define __Pyx_CREAL(z) ((z).real) - #define __Pyx_CIMAG(z) ((z).imag) -#endif -#if defined(__cplusplus) && CYTHON_CCOMPLEX\ - && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) - #define __Pyx_SET_CREAL(z,x) ((z).real(x)) - #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) -#else - #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) - #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) -#endif - -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX - #define __Pyx_c_eq_float(a, b) ((a)==(b)) - #define __Pyx_c_sum_float(a, b) ((a)+(b)) - #define __Pyx_c_diff_float(a, b) ((a)-(b)) - #define __Pyx_c_prod_float(a, b) ((a)*(b)) - #define __Pyx_c_quot_float(a, b) ((a)/(b)) - #define __Pyx_c_neg_float(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_float(z) ((z)==(float)0) - #define __Pyx_c_conj_float(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_float(z) (::std::abs(z)) - #define __Pyx_c_pow_float(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_float(z) ((z)==0) - #define __Pyx_c_conj_float(z) (conjf(z)) - #if 1 - #define __Pyx_c_abs_float(z) (cabsf(z)) - #define __Pyx_c_pow_float(a, b) (cpowf(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex); - #if 1 - static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex); - #endif -#endif - -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX - #define __Pyx_c_eq_double(a, b) ((a)==(b)) - #define __Pyx_c_sum_double(a, b) ((a)+(b)) - #define __Pyx_c_diff_double(a, b) ((a)-(b)) - #define __Pyx_c_prod_double(a, b) ((a)*(b)) - #define __Pyx_c_quot_double(a, b) ((a)/(b)) - #define __Pyx_c_neg_double(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_double(z) ((z)==(double)0) - #define __Pyx_c_conj_double(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (::std::abs(z)) - #define __Pyx_c_pow_double(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_double(z) ((z)==0) - #define __Pyx_c_conj_double(z) (conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (cabs(z)) - #define __Pyx_c_pow_double(a, b) (cpow(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex); - #if 1 - static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex); - #endif -#endif - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value); - -/* CIntFromPy.proto */ -static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); - -/* CIntFromPy.proto */ -static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); - -/* FastTypeChecks.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); -#else -#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) -#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) -#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2)) -#endif -#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) - -/* CheckBinaryVersion.proto */ -static int __Pyx_check_binary_version(void); - -/* PyIdentifierFromString.proto */ -#if !defined(__Pyx_PyIdentifier_FromString) -#if PY_MAJOR_VERSION < 3 - #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s) -#else - #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s) -#endif -#endif - -/* ModuleImport.proto */ -static PyObject *__Pyx_ImportModule(const char *name); - -/* TypeImport.proto */ -static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict); - -/* InitStrings.proto */ -static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); - - -/* Module declarations from 'cpython.buffer' */ - -/* Module declarations from 'libc.string' */ - -/* Module declarations from 'libc.stdio' */ - -/* Module declarations from '__builtin__' */ - -/* Module declarations from 'cpython.type' */ -static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0; - -/* Module declarations from 'cpython' */ - -/* Module declarations from 'cpython.object' */ - -/* Module declarations from 'cpython.ref' */ - -/* Module declarations from 'cpython.mem' */ - -/* Module declarations from 'numpy' */ - -/* Module declarations from 'numpy' */ -static PyTypeObject *__pyx_ptype_5numpy_dtype = 0; -static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0; -static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0; -static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0; -static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0; -static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_import_array(void); /*proto*/ - -/* Module declarations from 'libcpp.string' */ - -/* Module declarations from 'mesh_core_cython' */ -static std::string __pyx_convert_string_from_py_std__in_string(PyObject *); /*proto*/ -static __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 }; -static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, IS_UNSIGNED(int) ? 'U' : 'I', IS_UNSIGNED(int), 0 }; -#define __Pyx_MODULE_NAME "mesh_core_cython" -extern int __pyx_module_is_main_mesh_core_cython; -int __pyx_module_is_main_mesh_core_cython = 0; - -/* Implementation of 'mesh_core_cython' */ -static PyObject *__pyx_builtin_ValueError; -static PyObject *__pyx_builtin_range; -static PyObject *__pyx_builtin_RuntimeError; -static PyObject *__pyx_builtin_ImportError; -static const char __pyx_k_c[] = "c"; -static const char __pyx_k_h[] = "h"; -static const char __pyx_k_w[] = "w"; -static const char __pyx_k_np[] = "np"; -static const char __pyx_k_main[] = "__main__"; -static const char __pyx_k_ntri[] = "ntri"; -static const char __pyx_k_nver[] = "nver"; -static const char __pyx_k_test[] = "__test__"; -static const char __pyx_k_image[] = "image"; -static const char __pyx_k_numpy[] = "numpy"; -static const char __pyx_k_range[] = "range"; -static const char __pyx_k_tex_c[] = "tex_c"; -static const char __pyx_k_tex_h[] = "tex_h"; -static const char __pyx_k_tex_w[] = "tex_w"; -static const char __pyx_k_colors[] = "colors"; -static const char __pyx_k_import[] = "__import__"; -static const char __pyx_k_normal[] = "normal"; -static const char __pyx_k_ntexver[] = "ntexver"; -static const char __pyx_k_texture[] = "texture"; -static const char __pyx_k_filename[] = "filename"; -static const char __pyx_k_mtl_name[] = "mtl_name"; -static const char __pyx_k_tex_nver[] = "tex_nver"; -static const char __pyx_k_vertices[] = "vertices"; -static const char __pyx_k_triangles[] = "triangles"; -static const char __pyx_k_uv_coords[] = "uv_coords"; -static const char __pyx_k_ValueError[] = "ValueError"; -static const char __pyx_k_tex_coords[] = "tex_coords"; -static const char __pyx_k_tri_normal[] = "tri_normal"; -static const char __pyx_k_ImportError[] = "ImportError"; -static const char __pyx_k_RuntimeError[] = "RuntimeError"; -static const char __pyx_k_depth_buffer[] = "depth_buffer"; -static const char __pyx_k_mapping_type[] = "mapping_type"; -static const char __pyx_k_tex_triangles[] = "tex_triangles"; -static const char __pyx_k_get_normal_core[] = "get_normal_core"; -static const char __pyx_k_triangle_buffer[] = "triangle_buffer"; -static const char __pyx_k_mesh_core_cython[] = "mesh_core_cython"; -static const char __pyx_k_barycentric_weight[] = "barycentric_weight"; -static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; -static const char __pyx_k_render_colors_core[] = "render_colors_core"; -static const char __pyx_k_render_texture_core[] = "render_texture_core"; -static const char __pyx_k_rasterize_triangles_core[] = "rasterize_triangles_core"; -static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous"; -static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import"; -static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)"; -static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd"; -static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported"; -static const char __pyx_k_insightface_thirdparty_face3d_me[] = "insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.pyx"; -static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous"; -static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import"; -static const char __pyx_k_write_obj_with_colors_texture_co[] = "write_obj_with_colors_texture_core"; -static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short."; -static PyObject *__pyx_kp_u_Format_string_allocated_too_shor; -static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2; -static PyObject *__pyx_n_s_ImportError; -static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor; -static PyObject *__pyx_n_s_RuntimeError; -static PyObject *__pyx_n_s_ValueError; -static PyObject *__pyx_n_s_barycentric_weight; -static PyObject *__pyx_n_s_c; -static PyObject *__pyx_n_s_cline_in_traceback; -static PyObject *__pyx_n_s_colors; -static PyObject *__pyx_n_s_depth_buffer; -static PyObject *__pyx_n_s_filename; -static PyObject *__pyx_n_s_get_normal_core; -static PyObject *__pyx_n_s_h; -static PyObject *__pyx_n_s_image; -static PyObject *__pyx_n_s_import; -static PyObject *__pyx_kp_s_insightface_thirdparty_face3d_me; -static PyObject *__pyx_n_s_main; -static PyObject *__pyx_n_s_mapping_type; -static PyObject *__pyx_n_s_mesh_core_cython; -static PyObject *__pyx_n_s_mtl_name; -static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous; -static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou; -static PyObject *__pyx_n_s_normal; -static PyObject *__pyx_n_s_np; -static PyObject *__pyx_n_s_ntexver; -static PyObject *__pyx_n_s_ntri; -static PyObject *__pyx_n_s_numpy; -static PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to; -static PyObject *__pyx_kp_s_numpy_core_umath_failed_to_impor; -static PyObject *__pyx_n_s_nver; -static PyObject *__pyx_n_s_range; -static PyObject *__pyx_n_s_rasterize_triangles_core; -static PyObject *__pyx_n_s_render_colors_core; -static PyObject *__pyx_n_s_render_texture_core; -static PyObject *__pyx_n_s_test; -static PyObject *__pyx_n_s_tex_c; -static PyObject *__pyx_n_s_tex_coords; -static PyObject *__pyx_n_s_tex_h; -static PyObject *__pyx_n_s_tex_nver; -static PyObject *__pyx_n_s_tex_triangles; -static PyObject *__pyx_n_s_tex_w; -static PyObject *__pyx_n_s_texture; -static PyObject *__pyx_n_s_tri_normal; -static PyObject *__pyx_n_s_triangle_buffer; -static PyObject *__pyx_n_s_triangles; -static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd; -static PyObject *__pyx_n_s_uv_coords; -static PyObject *__pyx_n_s_vertices; -static PyObject *__pyx_n_s_w; -static PyObject *__pyx_n_s_write_obj_with_colors_texture_co; -static PyObject *__pyx_pf_16mesh_core_cython_get_normal_core(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_normal, PyArrayObject *__pyx_v_tri_normal, PyArrayObject *__pyx_v_triangles, int __pyx_v_ntri); /* proto */ -static PyObject *__pyx_pf_16mesh_core_cython_2rasterize_triangles_core(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_vertices, PyArrayObject *__pyx_v_triangles, PyArrayObject *__pyx_v_depth_buffer, PyArrayObject *__pyx_v_triangle_buffer, PyArrayObject *__pyx_v_barycentric_weight, int __pyx_v_nver, int __pyx_v_ntri, int __pyx_v_h, int __pyx_v_w); 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- if (ctx->fmt_offset != offset) { - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", - (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); - return -1; - } - ctx->fmt_offset += size; - if (arraysize) - ctx->fmt_offset += (arraysize - 1) * size; - --ctx->enc_count; - while (1) { - if (field == &ctx->root) { - ctx->head = NULL; - if (ctx->enc_count != 0) { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - break; - } - ctx->head->field = ++field; - if (field->type == NULL) { - --ctx->head; - field = ctx->head->field; - continue; - } else if (field->type->typegroup == 'S') { - size_t parent_offset = ctx->head->parent_offset + field->offset; - if (field->type->fields->type == NULL) continue; - field = field->type->fields; - ++ctx->head; - ctx->head->field = field; - ctx->head->parent_offset = parent_offset; - break; - } else { - break; - } - } - } while (ctx->enc_count); - ctx->enc_type = 0; - ctx->is_complex = 0; - return 0; -} -static PyObject * -__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) -{ - const char *ts = *tsp; - int i = 0, number; - int ndim = ctx->head->field->type->ndim; -; - ++ts; - if (ctx->new_count != 1) { - PyErr_SetString(PyExc_ValueError, - "Cannot handle repeated arrays in format string"); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - while (*ts && *ts != ')') { - switch (*ts) { - case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; - default: break; - } - number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return NULL; - if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) - return PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %d", - ctx->head->field->type->arraysize[i], number); - if (*ts != ',' && *ts != ')') - return PyErr_Format(PyExc_ValueError, - "Expected a comma in format string, got '%c'", *ts); - if (*ts == ',') ts++; - i++; - } - if (i != ndim) - return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", - ctx->head->field->type->ndim, i); - if (!*ts) { - PyErr_SetString(PyExc_ValueError, - "Unexpected end of format string, expected ')'"); - return NULL; - } - ctx->is_valid_array = 1; - ctx->new_count = 1; - *tsp = ++ts; - return Py_None; -} -static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { - int got_Z = 0; - while (1) { - switch(*ts) { - case 0: - if (ctx->enc_type != 0 && ctx->head == NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - if (ctx->head != NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - return ts; - case ' ': - case '\r': - case '\n': - ++ts; - break; - case '<': - if (!__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '>': - case '!': - if (__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '=': - case '@': - case '^': - ctx->new_packmode = *ts++; - break; - case 'T': - { - const char* ts_after_sub; - size_t i, struct_count = ctx->new_count; - size_t struct_alignment = ctx->struct_alignment; - ctx->new_count = 1; - ++ts; - if (*ts != '{') { - PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - ctx->enc_count = 0; - ctx->struct_alignment = 0; - ++ts; - ts_after_sub = ts; - for (i = 0; i != struct_count; ++i) { - ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); - if (!ts_after_sub) return NULL; - } - ts = ts_after_sub; - if (struct_alignment) ctx->struct_alignment = struct_alignment; - } - break; - case '}': - { - size_t alignment = ctx->struct_alignment; - ++ts; - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - if (alignment && ctx->fmt_offset % alignment) { - ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); - } - } - return ts; - case 'x': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->fmt_offset += ctx->new_count; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->enc_packmode = ctx->new_packmode; - ++ts; - break; - case 'Z': - got_Z = 1; - ++ts; - if (*ts != 'f' && *ts != 'd' && *ts != 'g') { - __Pyx_BufFmt_RaiseUnexpectedChar('Z'); - return NULL; - } - CYTHON_FALLTHROUGH; - case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': - case 'l': case 'L': case 'q': case 'Q': - case 'f': case 'd': case 'g': - case 'O': case 'p': - if (ctx->enc_type == *ts && got_Z == ctx->is_complex && - ctx->enc_packmode == ctx->new_packmode) { - ctx->enc_count += ctx->new_count; - ctx->new_count = 1; - got_Z = 0; - ++ts; - break; - } - CYTHON_FALLTHROUGH; - case 's': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_count = ctx->new_count; - ctx->enc_packmode = ctx->new_packmode; - ctx->enc_type = *ts; - ctx->is_complex = got_Z; - ++ts; - ctx->new_count = 1; - got_Z = 0; - break; - case ':': - ++ts; - while(*ts != ':') ++ts; - ++ts; - break; - case '(': - if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL; - break; - default: - { - int number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return NULL; - ctx->new_count = (size_t)number; - } - } - } -} - -/* BufferGetAndValidate */ - static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { - if (unlikely(info->buf == NULL)) return; - if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; - __Pyx_ReleaseBuffer(info); -} -static void __Pyx_ZeroBuffer(Py_buffer* buf) { - buf->buf = NULL; - buf->obj = NULL; - buf->strides = __Pyx_zeros; - buf->shape = __Pyx_zeros; - buf->suboffsets = __Pyx_minusones; -} -static int __Pyx__GetBufferAndValidate( - Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, - int nd, int cast, __Pyx_BufFmt_StackElem* stack) -{ - buf->buf = NULL; - if (unlikely(__Pyx_GetBuffer(obj, buf, flags) == -1)) { - __Pyx_ZeroBuffer(buf); - return -1; - } - if (unlikely(buf->ndim != nd)) { - PyErr_Format(PyExc_ValueError, - "Buffer has wrong number of dimensions (expected %d, got %d)", - nd, buf->ndim); - goto fail; - } - if (!cast) { - __Pyx_BufFmt_Context ctx; - __Pyx_BufFmt_Init(&ctx, stack, dtype); - if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; - } - if (unlikely((unsigned)buf->itemsize != dtype->size)) { - PyErr_Format(PyExc_ValueError, - "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", - buf->itemsize, (buf->itemsize > 1) ? "s" : "", - dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); - goto fail; - } - if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; - return 0; -fail:; - __Pyx_SafeReleaseBuffer(buf); - return -1; -} - -/* PyErrFetchRestore */ - #if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - tmp_type = tstate->curexc_type; - tmp_value = tstate->curexc_value; - tmp_tb = tstate->curexc_traceback; - tstate->curexc_type = type; - tstate->curexc_value = value; - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -} -static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - *type = tstate->curexc_type; - *value = tstate->curexc_value; - *tb = tstate->curexc_traceback; - tstate->curexc_type = 0; - tstate->curexc_value = 0; - tstate->curexc_traceback = 0; -} -#endif - -/* PyObjectGetAttrStr */ - #if CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) { - PyTypeObject* tp = Py_TYPE(obj); - if (likely(tp->tp_getattro)) - return tp->tp_getattro(obj, attr_name); -#if PY_MAJOR_VERSION < 3 - if (likely(tp->tp_getattr)) - return tp->tp_getattr(obj, PyString_AS_STRING(attr_name)); -#endif - return PyObject_GetAttr(obj, attr_name); -} -#endif - -/* GetBuiltinName */ - static PyObject *__Pyx_GetBuiltinName(PyObject *name) { - PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name); - if (unlikely(!result)) { - PyErr_Format(PyExc_NameError, -#if PY_MAJOR_VERSION >= 3 - "name '%U' is not defined", name); -#else - "name '%.200s' is not defined", PyString_AS_STRING(name)); -#endif - } - return result; -} - -/* PyObjectCall */ - #if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { - PyObject *result; - ternaryfunc call = func->ob_type->tp_call; - if (unlikely(!call)) - return PyObject_Call(func, arg, kw); - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - result = (*call)(func, arg, kw); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* RaiseException */ - #if PY_MAJOR_VERSION < 3 -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, - CYTHON_UNUSED PyObject *cause) { - __Pyx_PyThreadState_declare - Py_XINCREF(type); - if (!value || value == Py_None) - value = NULL; - else - Py_INCREF(value); - if (!tb || tb == Py_None) - tb = NULL; - else { - Py_INCREF(tb); - if (!PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto raise_error; - } - } - if (PyType_Check(type)) { -#if CYTHON_COMPILING_IN_PYPY - if (!value) { - Py_INCREF(Py_None); - value = Py_None; - } -#endif - PyErr_NormalizeException(&type, &value, &tb); - } else { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto raise_error; - } - value = type; - type = (PyObject*) Py_TYPE(type); - Py_INCREF(type); - if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto raise_error; - } - } - __Pyx_PyThreadState_assign - __Pyx_ErrRestore(type, value, tb); - return; -raise_error: - Py_XDECREF(value); - Py_XDECREF(type); - Py_XDECREF(tb); - return; -} -#else -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { - PyObject* owned_instance = NULL; - if (tb == Py_None) { - tb = 0; - } else if (tb && !PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto bad; - } - if (value == Py_None) - value = 0; - if (PyExceptionInstance_Check(type)) { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto bad; - } - value = type; - type = (PyObject*) Py_TYPE(value); - } else if (PyExceptionClass_Check(type)) { - PyObject *instance_class = NULL; - if (value && PyExceptionInstance_Check(value)) { - instance_class = (PyObject*) Py_TYPE(value); - if (instance_class != type) { - int is_subclass = PyObject_IsSubclass(instance_class, type); - if (!is_subclass) { - instance_class = NULL; - } else if (unlikely(is_subclass == -1)) { - goto bad; - } else { - type = instance_class; - } - } - } - if (!instance_class) { - PyObject *args; - if (!value) - args = PyTuple_New(0); - else if (PyTuple_Check(value)) { - Py_INCREF(value); - args = value; - } else - args = PyTuple_Pack(1, value); - if (!args) - goto bad; - owned_instance = PyObject_Call(type, args, NULL); - Py_DECREF(args); - if (!owned_instance) - goto bad; - value = owned_instance; - if (!PyExceptionInstance_Check(value)) { - PyErr_Format(PyExc_TypeError, - "calling %R should have returned an instance of " - "BaseException, not %R", - type, Py_TYPE(value)); - goto bad; - } - } - } else { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto bad; - } - if (cause) { - PyObject *fixed_cause; - if (cause == Py_None) { - fixed_cause = NULL; - } else if (PyExceptionClass_Check(cause)) { - fixed_cause = PyObject_CallObject(cause, NULL); - if (fixed_cause == NULL) - goto bad; - } else if (PyExceptionInstance_Check(cause)) { - fixed_cause = cause; - Py_INCREF(fixed_cause); - } else { - PyErr_SetString(PyExc_TypeError, - "exception causes must derive from " - "BaseException"); - goto bad; - } - PyException_SetCause(value, fixed_cause); - } - PyErr_SetObject(type, value); - if (tb) { -#if CYTHON_COMPILING_IN_PYPY - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); - Py_INCREF(tb); - PyErr_Restore(tmp_type, tmp_value, tb); - Py_XDECREF(tmp_tb); -#else - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject* tmp_tb = tstate->curexc_traceback; - if (tb != tmp_tb) { - Py_INCREF(tb); - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_tb); - } -#endif - } -bad: - Py_XDECREF(owned_instance); - return; -} -#endif - -/* PyCFunctionFastCall */ - #if CYTHON_FAST_PYCCALL -static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) { - PyCFunctionObject *func = (PyCFunctionObject*)func_obj; - PyCFunction meth = PyCFunction_GET_FUNCTION(func); - PyObject *self = PyCFunction_GET_SELF(func); - int flags = PyCFunction_GET_FLAGS(func); - assert(PyCFunction_Check(func)); - assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS))); - assert(nargs >= 0); - assert(nargs == 0 || args != NULL); - /* _PyCFunction_FastCallDict() must not be called with an exception set, - because it may clear it (directly or indirectly) and so the - caller loses its exception */ - assert(!PyErr_Occurred()); - if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) { - return (*((__Pyx_PyCFunctionFastWithKeywords)meth)) (self, args, nargs, NULL); - } else { - return (*((__Pyx_PyCFunctionFast)meth)) (self, args, nargs); - } -} -#endif - -/* PyFunctionFastCall */ - #if CYTHON_FAST_PYCALL -#include "frameobject.h" -static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, - PyObject *globals) { - PyFrameObject *f; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject **fastlocals; - Py_ssize_t i; - PyObject *result; - assert(globals != NULL); - /* XXX Perhaps we should create a specialized - PyFrame_New() that doesn't take locals, but does - take builtins without sanity checking them. - */ - assert(tstate != NULL); - f = PyFrame_New(tstate, co, globals, NULL); - if (f == NULL) { - return NULL; - } - fastlocals = f->f_localsplus; - for (i = 0; i < na; i++) { - Py_INCREF(*args); - fastlocals[i] = *args++; - } - result = PyEval_EvalFrameEx(f,0); - ++tstate->recursion_depth; - Py_DECREF(f); - --tstate->recursion_depth; - return result; -} -#if 1 || PY_VERSION_HEX < 0x030600B1 -static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) { - PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); - PyObject *globals = PyFunction_GET_GLOBALS(func); - PyObject *argdefs = PyFunction_GET_DEFAULTS(func); - PyObject *closure; -#if PY_MAJOR_VERSION >= 3 - PyObject *kwdefs; -#endif - PyObject *kwtuple, **k; - PyObject **d; - Py_ssize_t nd; - Py_ssize_t nk; - PyObject *result; - assert(kwargs == NULL || PyDict_Check(kwargs)); - nk = kwargs ? PyDict_Size(kwargs) : 0; - if (Py_EnterRecursiveCall((char*)" while calling a Python object")) { - return NULL; - } - if ( -#if PY_MAJOR_VERSION >= 3 - co->co_kwonlyargcount == 0 && -#endif - likely(kwargs == NULL || nk == 0) && - co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { - if (argdefs == NULL && co->co_argcount == nargs) { - result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals); - goto done; - } - else if (nargs == 0 && argdefs != NULL - && co->co_argcount == Py_SIZE(argdefs)) { - /* function called with no arguments, but all parameters have - a default value: use default values as arguments .*/ - args = &PyTuple_GET_ITEM(argdefs, 0); - result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals); - goto done; - } - } - if (kwargs != NULL) { - Py_ssize_t pos, i; - kwtuple = PyTuple_New(2 * nk); - if (kwtuple == NULL) { - result = NULL; - goto done; - } - k = &PyTuple_GET_ITEM(kwtuple, 0); - pos = i = 0; - while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { - Py_INCREF(k[i]); - Py_INCREF(k[i+1]); - i += 2; - } - nk = i / 2; - } - else { - kwtuple = NULL; - k = NULL; - } - closure = PyFunction_GET_CLOSURE(func); -#if PY_MAJOR_VERSION >= 3 - kwdefs = PyFunction_GET_KW_DEFAULTS(func); -#endif - if (argdefs != NULL) { - d = &PyTuple_GET_ITEM(argdefs, 0); - nd = Py_SIZE(argdefs); - } - else { - d = NULL; - nd = 0; - } -#if PY_MAJOR_VERSION >= 3 - result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL, - args, nargs, - k, (int)nk, - d, (int)nd, kwdefs, closure); -#else - result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL, - args, nargs, - k, (int)nk, - d, (int)nd, closure); -#endif - Py_XDECREF(kwtuple); -done: - Py_LeaveRecursiveCall(); - return result; -} -#endif -#endif - -/* PyObjectCallMethO */ - #if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) { - PyObject *self, *result; - PyCFunction cfunc; - cfunc = PyCFunction_GET_FUNCTION(func); - self = PyCFunction_GET_SELF(func); - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - result = cfunc(self, arg); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* PyObjectCallOneArg */ - #if CYTHON_COMPILING_IN_CPYTHON -static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) { - PyObject *result; - PyObject *args = PyTuple_New(1); - if (unlikely(!args)) return NULL; - Py_INCREF(arg); - PyTuple_SET_ITEM(args, 0, arg); - result = __Pyx_PyObject_Call(func, args, NULL); - Py_DECREF(args); - return result; -} -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { -#if CYTHON_FAST_PYCALL - if (PyFunction_Check(func)) { - return __Pyx_PyFunction_FastCall(func, &arg, 1); - } -#endif - if (likely(PyCFunction_Check(func))) { - if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) { - return __Pyx_PyObject_CallMethO(func, arg); -#if CYTHON_FAST_PYCCALL - } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) { - return __Pyx_PyCFunction_FastCall(func, &arg, 1); -#endif - } - } - return __Pyx__PyObject_CallOneArg(func, arg); -} -#else -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) { - PyObject *result; - PyObject *args = PyTuple_Pack(1, arg); - if (unlikely(!args)) return NULL; - result = __Pyx_PyObject_Call(func, args, NULL); - Py_DECREF(args); - return result; -} -#endif - -/* DictGetItem */ - #if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY -static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) { - PyObject *value; - value = PyDict_GetItemWithError(d, key); - if (unlikely(!value)) { - if (!PyErr_Occurred()) { - PyObject* args = PyTuple_Pack(1, key); - if (likely(args)) - PyErr_SetObject(PyExc_KeyError, args); - Py_XDECREF(args); - } - return NULL; - } - Py_INCREF(value); - return value; -} -#endif - -/* RaiseTooManyValuesToUnpack */ - static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) { - PyErr_Format(PyExc_ValueError, - "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected); -} - -/* RaiseNeedMoreValuesToUnpack */ - static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) { - PyErr_Format(PyExc_ValueError, - "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack", - index, (index == 1) ? "" : "s"); -} - -/* RaiseNoneIterError */ - static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) { - PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable"); -} - -/* ExtTypeTest */ - static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - if (likely(__Pyx_TypeCheck(obj, type))) - return 1; - PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s", - Py_TYPE(obj)->tp_name, type->tp_name); - return 0; -} - -/* SaveResetException */ - #if CYTHON_FAST_THREAD_STATE -static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { - #if PY_VERSION_HEX >= 0x030700A2 - *type = tstate->exc_state.exc_type; - *value = tstate->exc_state.exc_value; - *tb = tstate->exc_state.exc_traceback; - #else - *type = tstate->exc_type; - *value = tstate->exc_value; - *tb = tstate->exc_traceback; - #endif - Py_XINCREF(*type); - Py_XINCREF(*value); - Py_XINCREF(*tb); -} -static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) { - PyObject *tmp_type, *tmp_value, *tmp_tb; - #if PY_VERSION_HEX >= 0x030700A2 - tmp_type = tstate->exc_state.exc_type; - tmp_value = tstate->exc_state.exc_value; - tmp_tb = tstate->exc_state.exc_traceback; - tstate->exc_state.exc_type = type; - tstate->exc_state.exc_value = value; - tstate->exc_state.exc_traceback = tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = type; - tstate->exc_value = value; - tstate->exc_traceback = tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -} -#endif - -/* PyErrExceptionMatches */ - #if CYTHON_FAST_THREAD_STATE -static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(tuple); -#if PY_MAJOR_VERSION >= 3 - for (i=0; icurexc_type; - if (exc_type == err) return 1; - if (unlikely(!exc_type)) return 0; - if (unlikely(PyTuple_Check(err))) - return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err); - return __Pyx_PyErr_GivenExceptionMatches(exc_type, err); -} -#endif - -/* GetException */ - #if CYTHON_FAST_THREAD_STATE -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) { -#else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) { -#endif - PyObject *local_type, *local_value, *local_tb; -#if CYTHON_FAST_THREAD_STATE - PyObject *tmp_type, *tmp_value, *tmp_tb; - local_type = tstate->curexc_type; - local_value = tstate->curexc_value; - local_tb = tstate->curexc_traceback; - tstate->curexc_type = 0; - tstate->curexc_value = 0; - tstate->curexc_traceback = 0; -#else - PyErr_Fetch(&local_type, &local_value, &local_tb); -#endif - PyErr_NormalizeException(&local_type, &local_value, &local_tb); -#if CYTHON_FAST_THREAD_STATE - if (unlikely(tstate->curexc_type)) -#else - if (unlikely(PyErr_Occurred())) -#endif - goto bad; - #if PY_MAJOR_VERSION >= 3 - if (local_tb) { - if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0)) - goto bad; - } - #endif - Py_XINCREF(local_tb); - Py_XINCREF(local_type); - Py_XINCREF(local_value); - *type = local_type; - *value = local_value; - *tb = local_tb; -#if CYTHON_FAST_THREAD_STATE - #if PY_VERSION_HEX >= 0x030700A2 - tmp_type = tstate->exc_state.exc_type; - tmp_value = tstate->exc_state.exc_value; - tmp_tb = tstate->exc_state.exc_traceback; - tstate->exc_state.exc_type = local_type; - tstate->exc_state.exc_value = local_value; - tstate->exc_state.exc_traceback = local_tb; - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = local_type; - tstate->exc_value = local_value; - tstate->exc_traceback = local_tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -#else - PyErr_SetExcInfo(local_type, local_value, local_tb); -#endif - return 0; -bad: - *type = 0; - *value = 0; - *tb = 0; - Py_XDECREF(local_type); - Py_XDECREF(local_value); - Py_XDECREF(local_tb); - return -1; -} - -/* Import */ - static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { - PyObject *empty_list = 0; - PyObject *module = 0; - PyObject *global_dict = 0; - PyObject *empty_dict = 0; - PyObject *list; - #if PY_MAJOR_VERSION < 3 - PyObject *py_import; - py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); - if (!py_import) - goto bad; - #endif - if (from_list) - list = from_list; - else { - empty_list = PyList_New(0); - if (!empty_list) - goto bad; - list = empty_list; - } - global_dict = PyModule_GetDict(__pyx_m); - if (!global_dict) - goto bad; - empty_dict = PyDict_New(); - if (!empty_dict) - goto bad; - { - #if PY_MAJOR_VERSION >= 3 - if (level == -1) { - if (strchr(__Pyx_MODULE_NAME, '.')) { - module = PyImport_ImportModuleLevelObject( - name, global_dict, empty_dict, list, 1); - if (!module) { - if (!PyErr_ExceptionMatches(PyExc_ImportError)) - goto bad; - PyErr_Clear(); - } - } - level = 0; - } - #endif - if (!module) { - #if PY_MAJOR_VERSION < 3 - PyObject *py_level = PyInt_FromLong(level); - if (!py_level) - goto bad; - module = PyObject_CallFunctionObjArgs(py_import, - name, global_dict, empty_dict, list, py_level, NULL); - Py_DECREF(py_level); - #else - module = PyImport_ImportModuleLevelObject( - name, global_dict, empty_dict, list, level); - #endif - } - } -bad: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(py_import); - #endif - Py_XDECREF(empty_list); - Py_XDECREF(empty_dict); - return module; -} - -/* CLineInTraceback */ - #ifndef CYTHON_CLINE_IN_TRACEBACK -static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_line) { - PyObject *use_cline; - PyObject *ptype, *pvalue, *ptraceback; -#if CYTHON_COMPILING_IN_CPYTHON - PyObject **cython_runtime_dict; -#endif - __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); -#if CYTHON_COMPILING_IN_CPYTHON - cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime); - if (likely(cython_runtime_dict)) { - use_cline = __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback); - } else -#endif - { - PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback); - if (use_cline_obj) { - use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True; - Py_DECREF(use_cline_obj); - } else { - PyErr_Clear(); - use_cline = NULL; - } - } - if (!use_cline) { - c_line = 0; - PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False); - } - else if (PyObject_Not(use_cline) != 0) { - c_line = 0; - } - __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); - return c_line; -} -#endif - -/* CodeObjectCache */ - static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) { - int start = 0, mid = 0, end = count - 1; - if (end >= 0 && code_line > entries[end].code_line) { - return count; - } - while (start < end) { - mid = start + (end - start) / 2; - if (code_line < entries[mid].code_line) { - end = mid; - } else if (code_line > entries[mid].code_line) { - start = mid + 1; - } else { - return mid; - } - } - if (code_line <= entries[mid].code_line) { - return mid; - } else { - return mid + 1; - } -} -static PyCodeObject *__pyx_find_code_object(int code_line) { - PyCodeObject* code_object; - int pos; - if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { - return NULL; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { - return NULL; - } - code_object = __pyx_code_cache.entries[pos].code_object; - Py_INCREF(code_object); - return code_object; -} -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { - int pos, i; - __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; - if (unlikely(!code_line)) { - return; - } - if (unlikely(!entries)) { - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); - if (likely(entries)) { - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = 64; - __pyx_code_cache.count = 1; - entries[0].code_line = code_line; - entries[0].code_object = code_object; - Py_INCREF(code_object); - } - return; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { - PyCodeObject* tmp = entries[pos].code_object; - entries[pos].code_object = code_object; - Py_DECREF(tmp); - return; - } - if (__pyx_code_cache.count == __pyx_code_cache.max_count) { - int new_max = __pyx_code_cache.max_count + 64; - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( - __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry)); - if (unlikely(!entries)) { - return; - } - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = new_max; - } - for (i=__pyx_code_cache.count; i>pos; i--) { - entries[i] = entries[i-1]; - } - entries[pos].code_line = code_line; - entries[pos].code_object = code_object; - __pyx_code_cache.count++; - Py_INCREF(code_object); -} - -/* AddTraceback */ - #include "compile.h" -#include "frameobject.h" -#include "traceback.h" -static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( - const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = 0; - PyObject *py_srcfile = 0; - PyObject *py_funcname = 0; - #if PY_MAJOR_VERSION < 3 - py_srcfile = PyString_FromString(filename); - #else - py_srcfile = PyUnicode_FromString(filename); - #endif - if (!py_srcfile) goto bad; - if (c_line) { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - #else - py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - #endif - } - else { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromString(funcname); - #else - py_funcname = PyUnicode_FromString(funcname); - #endif - } - if (!py_funcname) goto bad; - py_code = __Pyx_PyCode_New( - 0, - 0, - 0, - 0, - 0, - __pyx_empty_bytes, /*PyObject *code,*/ - __pyx_empty_tuple, /*PyObject *consts,*/ - __pyx_empty_tuple, /*PyObject *names,*/ - __pyx_empty_tuple, /*PyObject *varnames,*/ - __pyx_empty_tuple, /*PyObject *freevars,*/ - __pyx_empty_tuple, /*PyObject *cellvars,*/ - py_srcfile, /*PyObject *filename,*/ - py_funcname, /*PyObject *name,*/ - py_line, - __pyx_empty_bytes /*PyObject *lnotab*/ - ); - Py_DECREF(py_srcfile); - Py_DECREF(py_funcname); - return py_code; -bad: - Py_XDECREF(py_srcfile); - Py_XDECREF(py_funcname); - return NULL; -} -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = 0; - PyFrameObject *py_frame = 0; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - if (c_line) { - c_line = __Pyx_CLineForTraceback(tstate, c_line); - } - py_code = __pyx_find_code_object(c_line ? -c_line : py_line); - if (!py_code) { - py_code = __Pyx_CreateCodeObjectForTraceback( - funcname, c_line, py_line, filename); - if (!py_code) goto bad; - __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); - } - py_frame = PyFrame_New( - tstate, /*PyThreadState *tstate,*/ - py_code, /*PyCodeObject *code,*/ - __pyx_d, /*PyObject *globals,*/ - 0 /*PyObject *locals*/ - ); - if (!py_frame) goto bad; - __Pyx_PyFrame_SetLineNumber(py_frame, py_line); - PyTraceBack_Here(py_frame); -bad: - Py_XDECREF(py_code); - Py_XDECREF(py_frame); -} - -#if PY_MAJOR_VERSION < 3 -static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { - if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); - if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags); - PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name); - return -1; -} -static void __Pyx_ReleaseBuffer(Py_buffer *view) { - PyObject *obj = view->obj; - if (!obj) return; - if (PyObject_CheckBuffer(obj)) { - PyBuffer_Release(view); - return; - } - if ((0)) {} - else if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view); - view->obj = NULL; - Py_DECREF(obj); -} -#endif - - - /* CIntFromPyVerify */ - #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) -#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) -#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ - {\ - func_type value = func_value;\ - if (sizeof(target_type) < sizeof(func_type)) {\ - if (unlikely(value != (func_type) (target_type) value)) {\ - func_type zero = 0;\ - if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ - return (target_type) -1;\ - if (is_unsigned && unlikely(value < zero))\ - goto raise_neg_overflow;\ - else\ - goto raise_overflow;\ - }\ - }\ - return (target_type) value;\ - } - -/* Declarations */ - #if CYTHON_CCOMPLEX - #ifdef __cplusplus - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - return ::std::complex< float >(x, y); - } - #else - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - return x + y*(__pyx_t_float_complex)_Complex_I; - } - #endif -#else - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - __pyx_t_float_complex z; - z.real = x; - z.imag = y; - return z; - } -#endif - -/* Arithmetic */ - #if CYTHON_CCOMPLEX -#else - static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - return (a.real == b.real) && (a.imag == b.imag); - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real + b.real; - z.imag = a.imag + b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real - b.real; - z.imag = a.imag - b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real * b.real - a.imag * b.imag; - z.imag = a.real * b.imag + a.imag * b.real; - return z; - } - #if 1 - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - if (b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); - } else if (fabsf(b.real) >= fabsf(b.imag)) { - if (b.real == 0 && b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag); - } else { - float r = b.imag / b.real; - float s = 1.0 / (b.real + b.imag * r); - return __pyx_t_float_complex_from_parts( - (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); - } - } else { - float r = b.real / b.imag; - float s = 1.0 / (b.imag + b.real * r); - return __pyx_t_float_complex_from_parts( - (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); - } - } - #else - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - if (b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); - } else { - float denom = b.real * b.real + b.imag * b.imag; - return __pyx_t_float_complex_from_parts( - (a.real * b.real + a.imag * b.imag) / denom, - (a.imag * b.real - a.real * b.imag) / denom); - } - } - #endif - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) { - __pyx_t_float_complex z; - z.real = -a.real; - z.imag = -a.imag; - return z; - } - static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) { - return (a.real == 0) && (a.imag == 0); - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) { - __pyx_t_float_complex z; - z.real = a.real; - z.imag = -a.imag; - return z; - } - #if 1 - static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) { - #if !defined(HAVE_HYPOT) || defined(_MSC_VER) - return sqrtf(z.real*z.real + z.imag*z.imag); - #else - return hypotf(z.real, z.imag); - #endif - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - float r, lnr, theta, z_r, z_theta; - if (b.imag == 0 && b.real == (int)b.real) { - if (b.real < 0) { - float denom = a.real * a.real + a.imag * a.imag; - a.real = a.real / denom; - a.imag = -a.imag / denom; - b.real = -b.real; - } - switch ((int)b.real) { - case 0: - z.real = 1; - z.imag = 0; - return z; - case 1: - return a; - case 2: - z = __Pyx_c_prod_float(a, a); - return __Pyx_c_prod_float(a, a); - case 3: - z = __Pyx_c_prod_float(a, a); - return __Pyx_c_prod_float(z, a); - case 4: - z = __Pyx_c_prod_float(a, a); - return __Pyx_c_prod_float(z, z); - } - } - if (a.imag == 0) { - if (a.real == 0) { - return a; - } else if (b.imag == 0) { - z.real = powf(a.real, b.real); - z.imag = 0; - return z; - } else if (a.real > 0) { - r = a.real; - theta = 0; - } else { - r = -a.real; - theta = atan2f(0, -1); - } - } else { - r = __Pyx_c_abs_float(a); - theta = atan2f(a.imag, a.real); - } - lnr = logf(r); - z_r = expf(lnr * b.real - theta * b.imag); - z_theta = theta * b.real + lnr * b.imag; - z.real = z_r * cosf(z_theta); - z.imag = z_r * sinf(z_theta); - return z; - } - #endif -#endif - -/* Declarations */ - #if CYTHON_CCOMPLEX - #ifdef __cplusplus - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - return ::std::complex< double >(x, y); - } - #else - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - return x + y*(__pyx_t_double_complex)_Complex_I; - } - #endif -#else - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - __pyx_t_double_complex z; - z.real = x; - z.imag = y; - return z; - } -#endif - -/* Arithmetic */ - #if CYTHON_CCOMPLEX -#else - static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - return (a.real == b.real) && (a.imag == b.imag); - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real + b.real; - z.imag = a.imag + b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real - b.real; - z.imag = a.imag - b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real * b.real - a.imag * b.imag; - z.imag = a.real * b.imag + a.imag * b.real; - return z; - } - #if 1 - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - if (b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else if (fabs(b.real) >= fabs(b.imag)) { - if (b.real == 0 && b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag); - } else { - double r = b.imag / b.real; - double s = 1.0 / (b.real + b.imag * r); - return __pyx_t_double_complex_from_parts( - (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); - } - } else { - double r = b.real / b.imag; - double s = 1.0 / (b.imag + b.real * r); - return __pyx_t_double_complex_from_parts( - (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); - } - } - #else - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - if (b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else { - double denom = b.real * b.real + b.imag * b.imag; - return __pyx_t_double_complex_from_parts( - (a.real * b.real + a.imag * b.imag) / denom, - (a.imag * b.real - a.real * b.imag) / denom); - } - } - #endif - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) { - __pyx_t_double_complex z; - z.real = -a.real; - z.imag = -a.imag; - return z; - } - static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) { - return (a.real == 0) && (a.imag == 0); - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) { - __pyx_t_double_complex z; - z.real = a.real; - z.imag = -a.imag; - return z; - } - #if 1 - static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) { - #if !defined(HAVE_HYPOT) || defined(_MSC_VER) - return sqrt(z.real*z.real + z.imag*z.imag); - #else - return hypot(z.real, z.imag); - #endif - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - double r, lnr, theta, z_r, z_theta; - if (b.imag == 0 && b.real == (int)b.real) { - if (b.real < 0) { - double denom = a.real * a.real + a.imag * a.imag; - a.real = a.real / denom; - a.imag = -a.imag / denom; - b.real = -b.real; - } - switch ((int)b.real) { - case 0: - z.real = 1; - z.imag = 0; - return z; - case 1: - return a; - case 2: - z = __Pyx_c_prod_double(a, a); - return __Pyx_c_prod_double(a, a); - case 3: - z = __Pyx_c_prod_double(a, a); - return __Pyx_c_prod_double(z, a); - case 4: - z = __Pyx_c_prod_double(a, a); - return __Pyx_c_prod_double(z, z); - } - } - if (a.imag == 0) { - if (a.real == 0) { - return a; - } else if (b.imag == 0) { - z.real = pow(a.real, b.real); - z.imag = 0; - return z; - } else if (a.real > 0) { - r = a.real; - theta = 0; - } else { - r = -a.real; - theta = atan2(0, -1); - } - } else { - r = __Pyx_c_abs_double(a); - theta = atan2(a.imag, a.real); - } - lnr = log(r); - z_r = exp(lnr * b.real - theta * b.imag); - z_theta = theta * b.real + lnr * b.imag; - z.real = z_r * cos(z_theta); - z.imag = z_r * sin(z_theta); - return z; - } - #endif -#endif - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) { - const int neg_one = (int) -1, const_zero = (int) 0; - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(int) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(int) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(int) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(int), - little, !is_unsigned); - } -} - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) { - const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0; - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(enum NPY_TYPES) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(enum NPY_TYPES) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES), - little, !is_unsigned); - } -} - -/* CIntFromPy */ - static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { - const int neg_one = (int) -1, const_zero = (int) 0; - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if (sizeof(int) < sizeof(long)) { - __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (int) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (int) 0; - case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0]) - case 2: - if (8 * sizeof(int) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) { - return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 3: - if (8 * sizeof(int) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) { - return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 4: - if (8 * sizeof(int) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) { - return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (int) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if (sizeof(int) <= sizeof(unsigned long)) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (int) 0; - case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0])) - case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0]) - case -2: - if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { - return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 2: - if (8 * sizeof(int) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { - return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -3: - if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { - return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 3: - if (8 * sizeof(int) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { - return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -4: - if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { - return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 4: - if (8 * sizeof(int) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) { - return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - } -#endif - if (sizeof(int) <= sizeof(long)) { - __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { -#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) - PyErr_SetString(PyExc_RuntimeError, - "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); -#else - int val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); - #if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } - #endif - if (likely(v)) { - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - int ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); - Py_DECREF(v); - if (likely(!ret)) - return val; - } -#endif - return (int) -1; - } - } else { - int val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (int) -1; - val = __Pyx_PyInt_As_int(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to int"); - return (int) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to int"); - return (int) -1; -} - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { - const long neg_one = (long) -1, const_zero = (long) 0; - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(long) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(long) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(long) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; - return _PyLong_FromByteArray(bytes, sizeof(long), - little, !is_unsigned); - } -} - -/* CIntFromPy */ - static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { - const long neg_one = (long) -1, const_zero = (long) 0; - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if (sizeof(long) < sizeof(long)) { - __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (long) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (long) 0; - case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0]) - case 2: - if (8 * sizeof(long) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) { - return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 3: - if (8 * sizeof(long) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) { - return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 4: - if (8 * sizeof(long) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) { - return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (long) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if (sizeof(long) <= sizeof(unsigned long)) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)x)->ob_digit; - switch (Py_SIZE(x)) { - case 0: return (long) 0; - case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0])) - case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0]) - case -2: - if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 2: - if (8 * sizeof(long) > 1 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -3: - if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 3: - if (8 * sizeof(long) > 2 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -4: - if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { - return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 4: - if (8 * sizeof(long) > 3 * PyLong_SHIFT) { - if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) { - return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - } -#endif - if (sizeof(long) <= sizeof(long)) { - __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { - __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { -#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray) - PyErr_SetString(PyExc_RuntimeError, - "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers"); -#else - long val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); - #if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } - #endif - if (likely(v)) { - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - int ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); - Py_DECREF(v); - if (likely(!ret)) - return val; - } -#endif - return (long) -1; - } - } else { - long val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (long) -1; - val = __Pyx_PyInt_As_long(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to long"); - return (long) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to long"); - return (long) -1; -} - -/* FastTypeChecks */ - #if CYTHON_COMPILING_IN_CPYTHON -static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { - while (a) { - a = a->tp_base; - if (a == b) - return 1; - } - return b == &PyBaseObject_Type; -} -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (a == b) return 1; - mro = a->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(a, b); -} -#if PY_MAJOR_VERSION == 2 -static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) { - PyObject *exception, *value, *tb; - int res; - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - __Pyx_ErrFetch(&exception, &value, &tb); - res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0; - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - if (!res) { - res = PyObject_IsSubclass(err, exc_type2); - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - } - __Pyx_ErrRestore(exception, value, tb); - return res; -} -#else -static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { - int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0; - if (!res) { - res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); - } - return res; -} -#endif -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) { - if (likely(err == exc_type)) return 1; - if (likely(PyExceptionClass_Check(err))) { - return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type); - } - return PyErr_GivenExceptionMatches(err, exc_type); -} -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) { - if (likely(err == exc_type1 || err == exc_type2)) return 1; - if (likely(PyExceptionClass_Check(err))) { - return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2); - } - return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2)); -} -#endif - -/* CheckBinaryVersion */ - static int __Pyx_check_binary_version(void) { - char ctversion[4], rtversion[4]; - PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION); - PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion()); - if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) { - char message[200]; - PyOS_snprintf(message, sizeof(message), - "compiletime version %s of module '%.100s' " - "does not match runtime version %s", - ctversion, __Pyx_MODULE_NAME, rtversion); - return PyErr_WarnEx(NULL, message, 1); - } - return 0; -} - -/* ModuleImport */ - #ifndef __PYX_HAVE_RT_ImportModule -#define __PYX_HAVE_RT_ImportModule -static PyObject *__Pyx_ImportModule(const char *name) { - PyObject *py_name = 0; - PyObject *py_module = 0; - py_name = __Pyx_PyIdentifier_FromString(name); - if (!py_name) - goto bad; - py_module = PyImport_Import(py_name); - Py_DECREF(py_name); - return py_module; -bad: - Py_XDECREF(py_name); - return 0; -} -#endif - -/* TypeImport */ - #ifndef __PYX_HAVE_RT_ImportType -#define __PYX_HAVE_RT_ImportType -static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, - size_t size, int strict) -{ - PyObject *py_module = 0; - PyObject *result = 0; - PyObject *py_name = 0; - char warning[200]; - Py_ssize_t basicsize; -#ifdef Py_LIMITED_API - PyObject *py_basicsize; -#endif - py_module = __Pyx_ImportModule(module_name); - if (!py_module) - goto bad; - py_name = __Pyx_PyIdentifier_FromString(class_name); - if (!py_name) - goto bad; - result = PyObject_GetAttr(py_module, py_name); - Py_DECREF(py_name); - py_name = 0; - Py_DECREF(py_module); - py_module = 0; - if (!result) - goto bad; - if (!PyType_Check(result)) { - PyErr_Format(PyExc_TypeError, - "%.200s.%.200s is not a type object", - module_name, class_name); - goto bad; - } -#ifndef Py_LIMITED_API - basicsize = ((PyTypeObject *)result)->tp_basicsize; -#else - py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); - if (!py_basicsize) - goto bad; - basicsize = PyLong_AsSsize_t(py_basicsize); - Py_DECREF(py_basicsize); - py_basicsize = 0; - if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) - goto bad; -#endif - if (!strict && (size_t)basicsize > size) { - PyOS_snprintf(warning, sizeof(warning), - "%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd", - module_name, class_name, basicsize, size); - if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; - } - else if ((size_t)basicsize != size) { - PyErr_Format(PyExc_ValueError, - "%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd", - module_name, class_name, basicsize, size); - goto bad; - } - return (PyTypeObject *)result; -bad: - Py_XDECREF(py_module); - Py_XDECREF(result); - return NULL; -} -#endif - -/* InitStrings */ - static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { - while (t->p) { - #if PY_MAJOR_VERSION < 3 - if (t->is_unicode) { - *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); - } else if (t->intern) { - *t->p = PyString_InternFromString(t->s); - } else { - *t->p = PyString_FromStringAndSize(t->s, t->n - 1); - } - #else - if (t->is_unicode | t->is_str) { - if (t->intern) { - *t->p = PyUnicode_InternFromString(t->s); - } else if (t->encoding) { - *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL); - } else { - *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1); - } - } else { - *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1); - } - #endif - if (!*t->p) - return -1; - if (PyObject_Hash(*t->p) == -1) - return -1; - ++t; - } - return 0; -} - -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { - return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str)); -} -static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { - Py_ssize_t ignore; - return __Pyx_PyObject_AsStringAndSize(o, &ignore); -} -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT -#if !CYTHON_PEP393_ENABLED -static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - char* defenc_c; - PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); - if (!defenc) return NULL; - defenc_c = PyBytes_AS_STRING(defenc); -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - { - char* end = defenc_c + PyBytes_GET_SIZE(defenc); - char* c; - for (c = defenc_c; c < end; c++) { - if ((unsigned char) (*c) >= 128) { - PyUnicode_AsASCIIString(o); - return NULL; - } - } - } -#endif - *length = PyBytes_GET_SIZE(defenc); - return defenc_c; -} -#else -static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - if (likely(PyUnicode_IS_ASCII(o))) { - *length = PyUnicode_GET_LENGTH(o); - return PyUnicode_AsUTF8(o); - } else { - PyUnicode_AsASCIIString(o); - return NULL; - } -#else - return PyUnicode_AsUTF8AndSize(o, length); -#endif -} -#endif -#endif -static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT - if ( -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - __Pyx_sys_getdefaultencoding_not_ascii && -#endif - PyUnicode_Check(o)) { - return __Pyx_PyUnicode_AsStringAndSize(o, length); - } else -#endif -#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) - if (PyByteArray_Check(o)) { - *length = PyByteArray_GET_SIZE(o); - return PyByteArray_AS_STRING(o); - } else -#endif - { - char* result; - int r = PyBytes_AsStringAndSize(o, &result, length); - if (unlikely(r < 0)) { - return NULL; - } else { - return result; - } - } -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { - int is_true = x == Py_True; - if (is_true | (x == Py_False) | (x == Py_None)) return is_true; - else return PyObject_IsTrue(x); -} -static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { -#if PY_MAJOR_VERSION >= 3 - if (PyLong_Check(result)) { - if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, - "__int__ returned non-int (type %.200s). " - "The ability to return an instance of a strict subclass of int " - "is deprecated, and may be removed in a future version of Python.", - Py_TYPE(result)->tp_name)) { - Py_DECREF(result); - return NULL; - } - return result; - } -#endif - PyErr_Format(PyExc_TypeError, - "__%.4s__ returned non-%.4s (type %.200s)", - type_name, type_name, Py_TYPE(result)->tp_name); - Py_DECREF(result); - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { -#if CYTHON_USE_TYPE_SLOTS - PyNumberMethods *m; -#endif - const char *name = NULL; - PyObject *res = NULL; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x) || PyLong_Check(x))) -#else - if (likely(PyLong_Check(x))) -#endif - return __Pyx_NewRef(x); -#if CYTHON_USE_TYPE_SLOTS - m = Py_TYPE(x)->tp_as_number; - #if PY_MAJOR_VERSION < 3 - if (m && m->nb_int) { - name = "int"; - res = m->nb_int(x); - } - else if (m && m->nb_long) { - name = "long"; - res = m->nb_long(x); - } - #else - if (likely(m && m->nb_int)) { - name = "int"; - res = m->nb_int(x); - } - #endif -#else - if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { - res = PyNumber_Int(x); - } -#endif - if (likely(res)) { -#if PY_MAJOR_VERSION < 3 - if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) { -#else - if (unlikely(!PyLong_CheckExact(res))) { -#endif - return __Pyx_PyNumber_IntOrLongWrongResultType(res, name); - } - } - else if (!PyErr_Occurred()) { - PyErr_SetString(PyExc_TypeError, - "an integer is required"); - } - return res; -} -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { - Py_ssize_t ival; - PyObject *x; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_CheckExact(b))) { - if (sizeof(Py_ssize_t) >= sizeof(long)) - return PyInt_AS_LONG(b); - else - return PyInt_AsSsize_t(x); - } -#endif - if (likely(PyLong_CheckExact(b))) { - #if CYTHON_USE_PYLONG_INTERNALS - const digit* digits = ((PyLongObject*)b)->ob_digit; - const Py_ssize_t size = Py_SIZE(b); - if (likely(__Pyx_sst_abs(size) <= 1)) { - ival = likely(size) ? digits[0] : 0; - if (size == -1) ival = -ival; - return ival; - } else { - switch (size) { - case 2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -2: - if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -3: - if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case 4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - case -4: - if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) { - return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0])); - } - break; - } - } - #endif - return PyLong_AsSsize_t(b); - } - x = PyNumber_Index(b); - if (!x) return -1; - ival = PyInt_AsSsize_t(x); - Py_DECREF(x); - return ival; -} -static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) { - return PyInt_FromSize_t(ival); -} - - -#endif /* Py_PYTHON_H */ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.cpp b/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.cpp deleted file mode 100644 index d2d12d77d6824e1ae1e04b31595102bfbebbb4d1..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.cpp +++ /dev/null @@ -1,12395 +0,0 @@ -/* Generated by Cython 3.0.10 */ - -/* BEGIN: Cython Metadata -{ - "distutils": { - "depends": [ - "insightface/thirdparty/face3d/mesh/cython/mesh_core.h" - ], - "include_dirs": [ - "insightface/thirdparty/face3d/mesh/cython" - ], - "language": "c++", - "name": "insightface.thirdparty.face3d.mesh.cython.mesh_core_cython", - "sources": [ - "insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.pyx", - "insightface/thirdparty/face3d/mesh/cython/mesh_core.cpp" - ] - }, - "module_name": "insightface.thirdparty.face3d.mesh.cython.mesh_core_cython" -} -END: Cython Metadata */ - -#ifndef PY_SSIZE_T_CLEAN -#define PY_SSIZE_T_CLEAN -#endif /* PY_SSIZE_T_CLEAN */ -#if defined(CYTHON_LIMITED_API) && 0 - #ifndef Py_LIMITED_API - #if CYTHON_LIMITED_API+0 > 0x03030000 - #define Py_LIMITED_API CYTHON_LIMITED_API - #else - #define Py_LIMITED_API 0x03030000 - #endif - #endif -#endif - -#include "Python.h" -#ifndef Py_PYTHON_H - #error Python headers needed to compile C extensions, please install development version of Python. -#elif PY_VERSION_HEX < 0x02070000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000) - #error Cython requires Python 2.7+ or Python 3.3+. -#else -#if defined(CYTHON_LIMITED_API) && CYTHON_LIMITED_API -#define __PYX_EXTRA_ABI_MODULE_NAME "limited" -#else -#define __PYX_EXTRA_ABI_MODULE_NAME "" -#endif -#define CYTHON_ABI "3_0_10" __PYX_EXTRA_ABI_MODULE_NAME -#define __PYX_ABI_MODULE_NAME "_cython_" CYTHON_ABI -#define __PYX_TYPE_MODULE_PREFIX __PYX_ABI_MODULE_NAME "." -#define CYTHON_HEX_VERSION 0x03000AF0 -#define CYTHON_FUTURE_DIVISION 1 -#include -#ifndef offsetof - #define offsetof(type, member) ( (size_t) & ((type*)0) -> member ) -#endif -#if !defined(_WIN32) && !defined(WIN32) && !defined(MS_WINDOWS) - #ifndef __stdcall - #define __stdcall - #endif - #ifndef __cdecl - #define __cdecl - #endif - #ifndef __fastcall - #define __fastcall - #endif -#endif -#ifndef DL_IMPORT - #define DL_IMPORT(t) t -#endif -#ifndef DL_EXPORT - #define DL_EXPORT(t) t -#endif -#define __PYX_COMMA , -#ifndef HAVE_LONG_LONG - #define HAVE_LONG_LONG -#endif -#ifndef PY_LONG_LONG - #define PY_LONG_LONG LONG_LONG -#endif -#ifndef Py_HUGE_VAL - #define Py_HUGE_VAL HUGE_VAL -#endif -#define __PYX_LIMITED_VERSION_HEX PY_VERSION_HEX -#if defined(GRAALVM_PYTHON) - /* For very preliminary testing purposes. 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#undef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 1 - #undef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 0 - #undef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 0 - #undef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 0 - #undef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL 0 - #undef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL 0 - #undef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 0 - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS (PY_MAJOR_VERSION >= 3) - #endif - #if PY_VERSION_HEX < 0x03090000 - #undef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 0 - #elif !defined(CYTHON_PEP489_MULTI_PHASE_INIT) - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #endif - #undef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 0 - #undef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1 && PYPY_VERSION_NUM >= 0x07030C00) - #undef CYTHON_USE_DICT_VERSIONS - 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#ifndef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 1 - #endif - #undef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #ifndef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 0 - #endif - #ifndef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 1 - #endif - #ifndef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 1 - #endif - #undef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 0 - #undef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL 0 - #ifndef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL 1 - #endif - #undef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 0 - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS 1 - #endif - #ifndef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #endif - #ifndef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 0 - #endif - #ifndef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE 1 - #endif - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 - #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC - #define CYTHON_UPDATE_DESCRIPTOR_DOC 1 - #endif - #ifndef CYTHON_USE_FREELISTS - #define CYTHON_USE_FREELISTS 0 - #endif -#else - #define CYTHON_COMPILING_IN_PYPY 0 - #define CYTHON_COMPILING_IN_CPYTHON 1 - #define CYTHON_COMPILING_IN_LIMITED_API 0 - #define CYTHON_COMPILING_IN_GRAAL 0 - #define CYTHON_COMPILING_IN_NOGIL 0 - #ifndef CYTHON_USE_TYPE_SLOTS - #define CYTHON_USE_TYPE_SLOTS 1 - #endif - #ifndef CYTHON_USE_TYPE_SPECS - #define CYTHON_USE_TYPE_SPECS 0 - #endif - #ifndef CYTHON_USE_PYTYPE_LOOKUP - #define CYTHON_USE_PYTYPE_LOOKUP 1 - #endif - #if PY_MAJOR_VERSION < 3 - #undef CYTHON_USE_ASYNC_SLOTS - #define CYTHON_USE_ASYNC_SLOTS 0 - #elif !defined(CYTHON_USE_ASYNC_SLOTS) - #define CYTHON_USE_ASYNC_SLOTS 1 - #endif - #ifndef CYTHON_USE_PYLONG_INTERNALS - #define CYTHON_USE_PYLONG_INTERNALS 1 - #endif - #ifndef CYTHON_USE_PYLIST_INTERNALS - #define CYTHON_USE_PYLIST_INTERNALS 1 - #endif - #ifndef CYTHON_USE_UNICODE_INTERNALS - #define CYTHON_USE_UNICODE_INTERNALS 1 - #endif - #if PY_VERSION_HEX < 0x030300F0 || PY_VERSION_HEX >= 0x030B00A2 - #undef CYTHON_USE_UNICODE_WRITER - #define CYTHON_USE_UNICODE_WRITER 0 - #elif !defined(CYTHON_USE_UNICODE_WRITER) - #define CYTHON_USE_UNICODE_WRITER 1 - #endif - #ifndef CYTHON_AVOID_BORROWED_REFS - #define CYTHON_AVOID_BORROWED_REFS 0 - #endif - #ifndef CYTHON_ASSUME_SAFE_MACROS - #define CYTHON_ASSUME_SAFE_MACROS 1 - #endif - #ifndef CYTHON_UNPACK_METHODS - #define CYTHON_UNPACK_METHODS 1 - #endif - #ifndef CYTHON_FAST_THREAD_STATE - #define CYTHON_FAST_THREAD_STATE 1 - #endif - #ifndef CYTHON_FAST_GIL - #define CYTHON_FAST_GIL (PY_MAJOR_VERSION < 3 || PY_VERSION_HEX >= 0x03060000 && PY_VERSION_HEX < 0x030C00A6) - #endif - #ifndef CYTHON_METH_FASTCALL - #define CYTHON_METH_FASTCALL (PY_VERSION_HEX >= 0x030700A1) - #endif - #ifndef CYTHON_FAST_PYCALL - #define CYTHON_FAST_PYCALL 1 - #endif - #ifndef CYTHON_PEP487_INIT_SUBCLASS - #define CYTHON_PEP487_INIT_SUBCLASS 1 - #endif - #if PY_VERSION_HEX < 0x03050000 - #undef CYTHON_PEP489_MULTI_PHASE_INIT - #define CYTHON_PEP489_MULTI_PHASE_INIT 0 - #elif !defined(CYTHON_PEP489_MULTI_PHASE_INIT) - #define CYTHON_PEP489_MULTI_PHASE_INIT 1 - #endif - #ifndef CYTHON_USE_MODULE_STATE - #define CYTHON_USE_MODULE_STATE 0 - #endif - #if PY_VERSION_HEX < 0x030400a1 - #undef CYTHON_USE_TP_FINALIZE - #define CYTHON_USE_TP_FINALIZE 0 - #elif !defined(CYTHON_USE_TP_FINALIZE) - #define CYTHON_USE_TP_FINALIZE 1 - #endif - #if PY_VERSION_HEX < 0x030600B1 - #undef CYTHON_USE_DICT_VERSIONS - #define CYTHON_USE_DICT_VERSIONS 0 - #elif !defined(CYTHON_USE_DICT_VERSIONS) - #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX < 0x030C00A5) - #endif - #if PY_VERSION_HEX < 0x030700A3 - #undef CYTHON_USE_EXC_INFO_STACK - #define CYTHON_USE_EXC_INFO_STACK 0 - #elif !defined(CYTHON_USE_EXC_INFO_STACK) - #define CYTHON_USE_EXC_INFO_STACK 1 - #endif - #ifndef CYTHON_UPDATE_DESCRIPTOR_DOC - #define CYTHON_UPDATE_DESCRIPTOR_DOC 1 - #endif - #ifndef CYTHON_USE_FREELISTS - #define CYTHON_USE_FREELISTS 1 - #endif -#endif -#if !defined(CYTHON_FAST_PYCCALL) -#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1) -#endif -#if !defined(CYTHON_VECTORCALL) -#define CYTHON_VECTORCALL (CYTHON_FAST_PYCCALL && PY_VERSION_HEX >= 0x030800B1) -#endif -#define CYTHON_BACKPORT_VECTORCALL (CYTHON_METH_FASTCALL && PY_VERSION_HEX < 0x030800B1) -#if CYTHON_USE_PYLONG_INTERNALS - #if PY_MAJOR_VERSION < 3 - #include "longintrepr.h" - #endif - #undef SHIFT - #undef BASE - #undef MASK - #ifdef SIZEOF_VOID_P - enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) }; - #endif -#endif -#ifndef __has_attribute - #define __has_attribute(x) 0 -#endif -#ifndef __has_cpp_attribute - #define __has_cpp_attribute(x) 0 -#endif -#ifndef CYTHON_RESTRICT - #if defined(__GNUC__) - #define CYTHON_RESTRICT __restrict__ - #elif defined(_MSC_VER) && _MSC_VER >= 1400 - #define CYTHON_RESTRICT __restrict - #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L - #define CYTHON_RESTRICT restrict - #else - #define CYTHON_RESTRICT - #endif -#endif -#ifndef CYTHON_UNUSED - #if defined(__cplusplus) - /* for clang __has_cpp_attribute(maybe_unused) is true even before C++17 - * but leads to warnings with -pedantic, since it is a C++17 feature */ - #if ((defined(_MSVC_LANG) && _MSVC_LANG >= 201703L) || __cplusplus >= 201703L) - #if __has_cpp_attribute(maybe_unused) - #define CYTHON_UNUSED [[maybe_unused]] - #endif - #endif - #endif -#endif -#ifndef CYTHON_UNUSED -# if defined(__GNUC__) -# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4)) -# define CYTHON_UNUSED __attribute__ ((__unused__)) -# else -# define CYTHON_UNUSED -# endif -# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER)) -# define CYTHON_UNUSED __attribute__ ((__unused__)) -# else -# define CYTHON_UNUSED -# endif -#endif -#ifndef CYTHON_UNUSED_VAR -# if defined(__cplusplus) - template void CYTHON_UNUSED_VAR( const T& ) { } -# else -# define CYTHON_UNUSED_VAR(x) (void)(x) -# endif -#endif -#ifndef CYTHON_MAYBE_UNUSED_VAR - #define CYTHON_MAYBE_UNUSED_VAR(x) CYTHON_UNUSED_VAR(x) -#endif -#ifndef CYTHON_NCP_UNUSED -# if CYTHON_COMPILING_IN_CPYTHON -# define CYTHON_NCP_UNUSED -# else -# define CYTHON_NCP_UNUSED CYTHON_UNUSED -# endif -#endif -#ifndef CYTHON_USE_CPP_STD_MOVE - #if defined(__cplusplus) && (\ - __cplusplus >= 201103L || (defined(_MSC_VER) && _MSC_VER >= 1600)) - #define CYTHON_USE_CPP_STD_MOVE 1 - #else - #define CYTHON_USE_CPP_STD_MOVE 0 - #endif -#endif -#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None) -#ifdef _MSC_VER - #ifndef _MSC_STDINT_H_ - #if _MSC_VER < 1300 - typedef unsigned char uint8_t; - typedef unsigned short uint16_t; - typedef unsigned int uint32_t; - #else - typedef unsigned __int8 uint8_t; - typedef unsigned __int16 uint16_t; - typedef unsigned __int32 uint32_t; - #endif - #endif - #if _MSC_VER < 1300 - #ifdef _WIN64 - typedef unsigned long long __pyx_uintptr_t; - #else - typedef unsigned int __pyx_uintptr_t; - #endif - #else - #ifdef _WIN64 - typedef unsigned __int64 __pyx_uintptr_t; - #else - typedef unsigned __int32 __pyx_uintptr_t; - #endif - #endif -#else - #include - typedef uintptr_t __pyx_uintptr_t; -#endif -#ifndef CYTHON_FALLTHROUGH - #if defined(__cplusplus) - /* for clang __has_cpp_attribute(fallthrough) is true even before C++17 - * but leads to warnings with -pedantic, since it is a C++17 feature */ - #if ((defined(_MSVC_LANG) && _MSVC_LANG >= 201703L) || __cplusplus >= 201703L) - #if __has_cpp_attribute(fallthrough) - #define CYTHON_FALLTHROUGH [[fallthrough]] - #endif - #endif - #ifndef CYTHON_FALLTHROUGH - #if __has_cpp_attribute(clang::fallthrough) - #define CYTHON_FALLTHROUGH [[clang::fallthrough]] - #elif __has_cpp_attribute(gnu::fallthrough) - #define CYTHON_FALLTHROUGH [[gnu::fallthrough]] - #endif - #endif - #endif - #ifndef CYTHON_FALLTHROUGH - #if __has_attribute(fallthrough) - #define CYTHON_FALLTHROUGH __attribute__((fallthrough)) - #else - #define CYTHON_FALLTHROUGH - #endif - #endif - #if defined(__clang__) && defined(__apple_build_version__) - #if __apple_build_version__ < 7000000 - #undef CYTHON_FALLTHROUGH - #define CYTHON_FALLTHROUGH - #endif - #endif -#endif -#ifdef __cplusplus - template - struct __PYX_IS_UNSIGNED_IMPL {static const bool value = T(0) < T(-1);}; - #define __PYX_IS_UNSIGNED(type) (__PYX_IS_UNSIGNED_IMPL::value) -#else - #define __PYX_IS_UNSIGNED(type) (((type)-1) > 0) -#endif -#if CYTHON_COMPILING_IN_PYPY == 1 - #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x030A0000) -#else - #define __PYX_NEED_TP_PRINT_SLOT (PY_VERSION_HEX >= 0x030800b4 && PY_VERSION_HEX < 0x03090000) -#endif -#define __PYX_REINTERPRET_FUNCION(func_pointer, other_pointer) ((func_pointer)(void(*)(void))(other_pointer)) - -#ifndef __cplusplus - #error "Cython files generated with the C++ option must be compiled with a C++ compiler." -#endif -#ifndef CYTHON_INLINE - #if defined(__clang__) - #define CYTHON_INLINE __inline__ __attribute__ ((__unused__)) - #else - #define CYTHON_INLINE inline - #endif -#endif -template -void __Pyx_call_destructor(T& x) { - x.~T(); -} -template -class __Pyx_FakeReference { - public: - __Pyx_FakeReference() : ptr(NULL) { } - __Pyx_FakeReference(const T& ref) : ptr(const_cast(&ref)) { } - T *operator->() { return ptr; } - T *operator&() { return ptr; } - operator T&() { return *ptr; } - template bool operator ==(const U& other) const { return *ptr == other; } - template bool operator !=(const U& other) const { return *ptr != other; } - template bool operator==(const __Pyx_FakeReference& other) const { return *ptr == *other.ptr; } - template bool operator!=(const __Pyx_FakeReference& other) const { return *ptr != *other.ptr; } - private: - T *ptr; -}; - -#define __PYX_BUILD_PY_SSIZE_T "n" -#define CYTHON_FORMAT_SSIZE_T "z" -#if PY_MAJOR_VERSION < 3 - #define __Pyx_BUILTIN_MODULE_NAME "__builtin__" - #define __Pyx_DefaultClassType PyClass_Type - #define __Pyx_PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) -#else - #define __Pyx_BUILTIN_MODULE_NAME "builtins" - #define __Pyx_DefaultClassType PyType_Type -#if CYTHON_COMPILING_IN_LIMITED_API - static CYTHON_INLINE PyObject* __Pyx_PyCode_New(int a, int p, int k, int l, int s, int f, - PyObject *code, PyObject *c, PyObject* n, PyObject *v, - PyObject *fv, PyObject *cell, PyObject* fn, - PyObject *name, int fline, PyObject *lnos) { - PyObject *exception_table = NULL; - PyObject *types_module=NULL, *code_type=NULL, *result=NULL; - #if __PYX_LIMITED_VERSION_HEX < 0x030B0000 - PyObject *version_info; - PyObject *py_minor_version = NULL; - #endif - long minor_version = 0; - PyObject *type, *value, *traceback; - PyErr_Fetch(&type, &value, &traceback); - #if __PYX_LIMITED_VERSION_HEX >= 0x030B0000 - minor_version = 11; - #else - if (!(version_info = PySys_GetObject("version_info"))) goto end; - if (!(py_minor_version = PySequence_GetItem(version_info, 1))) goto end; - minor_version = PyLong_AsLong(py_minor_version); - Py_DECREF(py_minor_version); - if (minor_version == -1 && PyErr_Occurred()) goto end; - #endif - if (!(types_module = PyImport_ImportModule("types"))) goto end; - if (!(code_type = PyObject_GetAttrString(types_module, "CodeType"))) goto end; - if (minor_version <= 7) { - (void)p; - result = PyObject_CallFunction(code_type, "iiiiiOOOOOOiOO", a, k, l, s, f, code, - c, n, v, fn, name, fline, lnos, fv, cell); - } else if (minor_version <= 10) { - result = PyObject_CallFunction(code_type, "iiiiiiOOOOOOiOO", a,p, k, l, s, f, code, - c, n, v, fn, name, fline, lnos, fv, cell); - } else { - if (!(exception_table = PyBytes_FromStringAndSize(NULL, 0))) goto end; - result = PyObject_CallFunction(code_type, "iiiiiiOOOOOOOiOO", a,p, k, l, s, f, code, - c, n, v, fn, name, name, fline, lnos, exception_table, fv, cell); - } - end: - Py_XDECREF(code_type); - Py_XDECREF(exception_table); - Py_XDECREF(types_module); - if (type) { - PyErr_Restore(type, value, traceback); - } - return result; - } - #ifndef CO_OPTIMIZED - #define CO_OPTIMIZED 0x0001 - #endif - #ifndef CO_NEWLOCALS - #define CO_NEWLOCALS 0x0002 - #endif - #ifndef CO_VARARGS - #define CO_VARARGS 0x0004 - #endif - #ifndef CO_VARKEYWORDS - #define CO_VARKEYWORDS 0x0008 - #endif - #ifndef CO_ASYNC_GENERATOR - #define CO_ASYNC_GENERATOR 0x0200 - #endif - #ifndef CO_GENERATOR - #define CO_GENERATOR 0x0020 - #endif - #ifndef CO_COROUTINE - #define CO_COROUTINE 0x0080 - #endif -#elif PY_VERSION_HEX >= 0x030B0000 - static CYTHON_INLINE PyCodeObject* __Pyx_PyCode_New(int a, int p, int k, int l, int s, int f, - PyObject *code, PyObject *c, PyObject* n, PyObject *v, - PyObject *fv, PyObject *cell, PyObject* fn, - PyObject *name, int fline, PyObject *lnos) { - PyCodeObject *result; - PyObject *empty_bytes = PyBytes_FromStringAndSize("", 0); - if (!empty_bytes) return NULL; - result = - #if PY_VERSION_HEX >= 0x030C0000 - PyUnstable_Code_NewWithPosOnlyArgs - #else - PyCode_NewWithPosOnlyArgs - #endif - (a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, name, fline, lnos, empty_bytes); - Py_DECREF(empty_bytes); - return result; - } -#elif PY_VERSION_HEX >= 0x030800B2 && !CYTHON_COMPILING_IN_PYPY - #define __Pyx_PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_NewWithPosOnlyArgs(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) -#else - #define __Pyx_PyCode_New(a, p, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\ - PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos) -#endif -#endif -#if PY_VERSION_HEX >= 0x030900A4 || defined(Py_IS_TYPE) - #define __Pyx_IS_TYPE(ob, type) Py_IS_TYPE(ob, type) -#else - #define __Pyx_IS_TYPE(ob, type) (((const PyObject*)ob)->ob_type == (type)) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_Is) - #define __Pyx_Py_Is(x, y) Py_Is(x, y) -#else - #define __Pyx_Py_Is(x, y) ((x) == (y)) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsNone) - #define __Pyx_Py_IsNone(ob) Py_IsNone(ob) -#else - #define __Pyx_Py_IsNone(ob) __Pyx_Py_Is((ob), Py_None) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsTrue) - #define __Pyx_Py_IsTrue(ob) Py_IsTrue(ob) -#else - #define __Pyx_Py_IsTrue(ob) __Pyx_Py_Is((ob), Py_True) -#endif -#if PY_VERSION_HEX >= 0x030A00B1 || defined(Py_IsFalse) - #define __Pyx_Py_IsFalse(ob) Py_IsFalse(ob) -#else - #define __Pyx_Py_IsFalse(ob) __Pyx_Py_Is((ob), Py_False) -#endif -#define __Pyx_NoneAsNull(obj) (__Pyx_Py_IsNone(obj) ? 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__Pyx_NewRef(obj) : PySequence_Tuple(obj)) -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*); -static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t); -static CYTHON_INLINE Py_hash_t __Pyx_PyIndex_AsHash_t(PyObject*); -#if CYTHON_ASSUME_SAFE_MACROS -#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x)) -#else -#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x) -#endif -#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x)) -#if PY_MAJOR_VERSION >= 3 -#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x)) -#else -#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x)) -#endif -#if CYTHON_USE_PYLONG_INTERNALS - #if PY_VERSION_HEX >= 0x030C00A7 - #ifndef _PyLong_SIGN_MASK - #define _PyLong_SIGN_MASK 3 - #endif - #ifndef _PyLong_NON_SIZE_BITS - #define _PyLong_NON_SIZE_BITS 3 - #endif - #define __Pyx_PyLong_Sign(x) (((PyLongObject*)x)->long_value.lv_tag & _PyLong_SIGN_MASK) - #define __Pyx_PyLong_IsNeg(x) ((__Pyx_PyLong_Sign(x) & 2) != 0) - #define __Pyx_PyLong_IsNonNeg(x) (!__Pyx_PyLong_IsNeg(x)) - #define __Pyx_PyLong_IsZero(x) (__Pyx_PyLong_Sign(x) & 1) - #define __Pyx_PyLong_IsPos(x) (__Pyx_PyLong_Sign(x) == 0) - #define __Pyx_PyLong_CompactValueUnsigned(x) (__Pyx_PyLong_Digits(x)[0]) - #define __Pyx_PyLong_DigitCount(x) ((Py_ssize_t) (((PyLongObject*)x)->long_value.lv_tag >> _PyLong_NON_SIZE_BITS)) - #define __Pyx_PyLong_SignedDigitCount(x)\ - ((1 - (Py_ssize_t) __Pyx_PyLong_Sign(x)) * __Pyx_PyLong_DigitCount(x)) - #if defined(PyUnstable_Long_IsCompact) && defined(PyUnstable_Long_CompactValue) - #define __Pyx_PyLong_IsCompact(x) PyUnstable_Long_IsCompact((PyLongObject*) x) - #define __Pyx_PyLong_CompactValue(x) PyUnstable_Long_CompactValue((PyLongObject*) x) - #else - #define __Pyx_PyLong_IsCompact(x) (((PyLongObject*)x)->long_value.lv_tag < (2 << _PyLong_NON_SIZE_BITS)) - #define __Pyx_PyLong_CompactValue(x) ((1 - (Py_ssize_t) __Pyx_PyLong_Sign(x)) * (Py_ssize_t) __Pyx_PyLong_Digits(x)[0]) - #endif - typedef Py_ssize_t __Pyx_compact_pylong; - typedef size_t __Pyx_compact_upylong; - #else - #define __Pyx_PyLong_IsNeg(x) (Py_SIZE(x) < 0) - #define __Pyx_PyLong_IsNonNeg(x) (Py_SIZE(x) >= 0) - #define __Pyx_PyLong_IsZero(x) (Py_SIZE(x) == 0) - #define __Pyx_PyLong_IsPos(x) (Py_SIZE(x) > 0) - #define __Pyx_PyLong_CompactValueUnsigned(x) ((Py_SIZE(x) == 0) ? 0 : __Pyx_PyLong_Digits(x)[0]) - #define __Pyx_PyLong_DigitCount(x) __Pyx_sst_abs(Py_SIZE(x)) - #define __Pyx_PyLong_SignedDigitCount(x) Py_SIZE(x) - #define __Pyx_PyLong_IsCompact(x) (Py_SIZE(x) == 0 || Py_SIZE(x) == 1 || Py_SIZE(x) == -1) - #define __Pyx_PyLong_CompactValue(x)\ - ((Py_SIZE(x) == 0) ? (sdigit) 0 : ((Py_SIZE(x) < 0) ? -(sdigit)__Pyx_PyLong_Digits(x)[0] : (sdigit)__Pyx_PyLong_Digits(x)[0])) - typedef sdigit __Pyx_compact_pylong; - typedef digit __Pyx_compact_upylong; - #endif - #if PY_VERSION_HEX >= 0x030C00A5 - #define __Pyx_PyLong_Digits(x) (((PyLongObject*)x)->long_value.ob_digit) - #else - #define __Pyx_PyLong_Digits(x) (((PyLongObject*)x)->ob_digit) - #endif -#endif -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII -#include -static int __Pyx_sys_getdefaultencoding_not_ascii; -static int __Pyx_init_sys_getdefaultencoding_params(void) { - PyObject* sys; - PyObject* default_encoding = NULL; - PyObject* ascii_chars_u = NULL; - PyObject* ascii_chars_b = NULL; - const char* default_encoding_c; - sys = PyImport_ImportModule("sys"); - if (!sys) goto bad; - default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL); - Py_DECREF(sys); - if (!default_encoding) goto bad; - default_encoding_c = PyBytes_AsString(default_encoding); - if (!default_encoding_c) goto bad; - if (strcmp(default_encoding_c, "ascii") == 0) { - __Pyx_sys_getdefaultencoding_not_ascii = 0; - } else { - char ascii_chars[128]; - int c; - for (c = 0; c < 128; c++) { - ascii_chars[c] = (char) c; - } - __Pyx_sys_getdefaultencoding_not_ascii = 1; - ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL); - if (!ascii_chars_u) goto bad; - ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL); - if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) { - PyErr_Format( - PyExc_ValueError, - "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.", - default_encoding_c); - goto bad; - } - Py_DECREF(ascii_chars_u); - Py_DECREF(ascii_chars_b); - } - Py_DECREF(default_encoding); - return 0; -bad: - Py_XDECREF(default_encoding); - Py_XDECREF(ascii_chars_u); - Py_XDECREF(ascii_chars_b); - return -1; -} -#endif -#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3 -#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL) -#else -#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL) -#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT -#include -static char* __PYX_DEFAULT_STRING_ENCODING; 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-#endif - -/* CythonFunctionShared.proto */ -#define __Pyx_CyFunction_USED -#define __Pyx_CYFUNCTION_STATICMETHOD 0x01 -#define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 -#define __Pyx_CYFUNCTION_CCLASS 0x04 -#define __Pyx_CYFUNCTION_COROUTINE 0x08 -#define __Pyx_CyFunction_GetClosure(f)\ - (((__pyx_CyFunctionObject *) (f))->func_closure) -#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - #define __Pyx_CyFunction_GetClassObj(f)\ - (((__pyx_CyFunctionObject *) (f))->func_classobj) -#else - #define __Pyx_CyFunction_GetClassObj(f)\ - ((PyObject*) ((PyCMethodObject *) (f))->mm_class) -#endif -#define __Pyx_CyFunction_SetClassObj(f, classobj)\ - __Pyx__CyFunction_SetClassObj((__pyx_CyFunctionObject *) (f), (classobj)) -#define __Pyx_CyFunction_Defaults(type, f)\ - ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) -#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ - ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) -typedef struct { -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject_HEAD - PyObject *func; 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-#endif - -/* CodeObjectCache.proto */ -#if !CYTHON_COMPILING_IN_LIMITED_API -typedef struct { - PyCodeObject* code_object; - int code_line; -} __Pyx_CodeObjectCacheEntry; -struct __Pyx_CodeObjectCache { - int count; - int max_count; - __Pyx_CodeObjectCacheEntry* entries; -}; -static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL}; -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); -static PyCodeObject *__pyx_find_code_object(int code_line); -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object); -#endif - -/* AddTraceback.proto */ -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename); - -/* BufferStructDeclare.proto */ -typedef struct { - Py_ssize_t shape, strides, suboffsets; -} __Pyx_Buf_DimInfo; -typedef struct { - size_t refcount; - Py_buffer pybuffer; -} __Pyx_Buffer; -typedef struct { - __Pyx_Buffer *rcbuffer; - char *data; - __Pyx_Buf_DimInfo diminfo[8]; -} __Pyx_LocalBuf_ND; - -#if PY_MAJOR_VERSION < 3 - static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags); - static void __Pyx_ReleaseBuffer(Py_buffer *view); -#else - #define __Pyx_GetBuffer PyObject_GetBuffer - #define __Pyx_ReleaseBuffer PyBuffer_Release -#endif - - -/* GCCDiagnostics.proto */ -#if !defined(__INTEL_COMPILER) && defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6)) -#define __Pyx_HAS_GCC_DIAGNOSTIC -#endif - -/* RealImag.proto */ -#if CYTHON_CCOMPLEX - #ifdef __cplusplus - #define __Pyx_CREAL(z) ((z).real()) - #define __Pyx_CIMAG(z) ((z).imag()) - #else - #define __Pyx_CREAL(z) (__real__(z)) - #define __Pyx_CIMAG(z) (__imag__(z)) - #endif -#else - #define __Pyx_CREAL(z) ((z).real) - #define __Pyx_CIMAG(z) ((z).imag) -#endif -#if defined(__cplusplus) && CYTHON_CCOMPLEX\ - && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) - #define __Pyx_SET_CREAL(z,x) ((z).real(x)) - #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) -#else - #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) - #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) -#endif - -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #define __Pyx_c_eq_float(a, b) ((a)==(b)) - #define __Pyx_c_sum_float(a, b) ((a)+(b)) - #define __Pyx_c_diff_float(a, b) ((a)-(b)) - #define __Pyx_c_prod_float(a, b) ((a)*(b)) - #define __Pyx_c_quot_float(a, b) ((a)/(b)) - #define __Pyx_c_neg_float(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_float(z) ((z)==(float)0) - #define __Pyx_c_conj_float(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_float(z) (::std::abs(z)) - #define __Pyx_c_pow_float(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_float(z) ((z)==0) - #define __Pyx_c_conj_float(z) (conjf(z)) - #if 1 - #define __Pyx_c_abs_float(z) (cabsf(z)) - #define __Pyx_c_pow_float(a, b) (cpowf(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex); - #if 1 - static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex); - #endif -#endif - -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #define __Pyx_c_eq_double(a, b) ((a)==(b)) - #define __Pyx_c_sum_double(a, b) ((a)+(b)) - #define __Pyx_c_diff_double(a, b) ((a)-(b)) - #define __Pyx_c_prod_double(a, b) ((a)*(b)) - #define __Pyx_c_quot_double(a, b) ((a)/(b)) - #define __Pyx_c_neg_double(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_double(z) ((z)==(double)0) - #define __Pyx_c_conj_double(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (::std::abs(z)) - #define __Pyx_c_pow_double(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_double(z) ((z)==0) - #define __Pyx_c_conj_double(z) (conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (cabs(z)) - #define __Pyx_c_pow_double(a, b) (cpow(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex); - #if 1 - static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex); - #endif -#endif - -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #define __Pyx_c_eq_long__double(a, b) ((a)==(b)) - #define __Pyx_c_sum_long__double(a, b) ((a)+(b)) - #define __Pyx_c_diff_long__double(a, b) ((a)-(b)) - #define __Pyx_c_prod_long__double(a, b) ((a)*(b)) - #define __Pyx_c_quot_long__double(a, b) ((a)/(b)) - #define __Pyx_c_neg_long__double(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_long__double(z) ((z)==(long double)0) - #define __Pyx_c_conj_long__double(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_long__double(z) (::std::abs(z)) - #define __Pyx_c_pow_long__double(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_long__double(z) ((z)==0) - #define __Pyx_c_conj_long__double(z) (conjl(z)) - #if 1 - #define __Pyx_c_abs_long__double(z) (cabsl(z)) - #define __Pyx_c_pow_long__double(a, b) (cpowl(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_sum_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_diff_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_prod_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_quot_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_neg_long__double(__pyx_t_long_double_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_long__double(__pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_conj_long__double(__pyx_t_long_double_complex); - #if 1 - static CYTHON_INLINE long double __Pyx_c_abs_long__double(__pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_pow_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - #endif -#endif - -/* CIntFromPy.proto */ -static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *); - -/* CppExceptionConversion.proto */ -#ifndef __Pyx_CppExn2PyErr -#include -#include -#include -#include -static void __Pyx_CppExn2PyErr() { - try { - if (PyErr_Occurred()) - ; // let the latest Python exn pass through and ignore the current one - else - throw; - } catch (const std::bad_alloc& exn) { - PyErr_SetString(PyExc_MemoryError, exn.what()); - } catch (const std::bad_cast& exn) { - PyErr_SetString(PyExc_TypeError, exn.what()); - } catch (const std::bad_typeid& exn) { - PyErr_SetString(PyExc_TypeError, exn.what()); - } catch (const std::domain_error& exn) { - PyErr_SetString(PyExc_ValueError, exn.what()); - } catch (const std::invalid_argument& exn) { - PyErr_SetString(PyExc_ValueError, exn.what()); - } catch (const std::ios_base::failure& exn) { - PyErr_SetString(PyExc_IOError, exn.what()); - } catch (const std::out_of_range& exn) { - PyErr_SetString(PyExc_IndexError, exn.what()); - } catch (const std::overflow_error& exn) { - PyErr_SetString(PyExc_OverflowError, exn.what()); - } catch (const std::range_error& exn) { - PyErr_SetString(PyExc_ArithmeticError, exn.what()); - } catch (const std::underflow_error& exn) { - PyErr_SetString(PyExc_ArithmeticError, exn.what()); - } catch (const std::exception& exn) { - PyErr_SetString(PyExc_RuntimeError, exn.what()); - } - catch (...) - { - PyErr_SetString(PyExc_RuntimeError, "Unknown exception"); - } -} -#endif - -/* FormatTypeName.proto */ -#if CYTHON_COMPILING_IN_LIMITED_API -typedef PyObject *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%U" -static __Pyx_TypeName __Pyx_PyType_GetName(PyTypeObject* tp); -#define __Pyx_DECREF_TypeName(obj) Py_XDECREF(obj) -#else -typedef const char *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%.200s" -#define __Pyx_PyType_GetName(tp) ((tp)->tp_name) -#define __Pyx_DECREF_TypeName(obj) -#endif - -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value); - -/* CIntFromPy.proto */ -static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *); - -/* FastTypeChecks.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) __Pyx_IsAnySubtype2(Py_TYPE(obj), (PyTypeObject *)type1, (PyTypeObject *)type2) -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); -#else -#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) (PyObject_TypeCheck(obj, (PyTypeObject *)type1) || PyObject_TypeCheck(obj, (PyTypeObject *)type2)) -#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) -#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2)) -#endif -#define __Pyx_PyErr_ExceptionMatches2(err1, err2) __Pyx_PyErr_GivenExceptionMatches2(__Pyx_PyErr_CurrentExceptionType(), err1, err2) -#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) - -/* CheckBinaryVersion.proto */ -static unsigned long __Pyx_get_runtime_version(void); -static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer); - -/* InitStrings.proto */ -static int __Pyx_InitStrings(__Pyx_StringTabEntry *t); - -/* #### Code section: module_declarations ### */ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize_itemsize(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment_alignment(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields_fields(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names_names(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray_subarray(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags_flags(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter_numiter(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size_size(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index_index(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd_nd(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions_dimensions(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters_iters(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base_base(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr_descr(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim_ndim(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape_shape(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides_strides(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size_size(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data_data(PyArrayObject *__pyx_v_self); /* proto*/ - -/* Module declarations from "libc.string" */ - -/* Module declarations from "libc.stdio" */ - -/* Module declarations from "__builtin__" */ - -/* Module declarations from "cpython.type" */ - -/* Module declarations from "cpython" */ - -/* Module declarations from "cpython.object" */ - -/* Module declarations from "cpython.ref" */ - -/* Module declarations from "numpy" */ - -/* Module declarations from "numpy" */ -static CYTHON_INLINE int __pyx_f_5numpy_import_array(void); /*proto*/ - -/* Module declarations from "libcpp.string" */ - -/* Module declarations from "insightface.thirdparty.face3d.mesh.cython.mesh_core_cython" */ -static std::string __pyx_convert_string_from_py_6libcpp_6string_std__in_string(PyObject *); /*proto*/ -/* #### Code section: typeinfo ### */ -static __Pyx_TypeInfo __Pyx_TypeInfo_float = { "float", NULL, sizeof(float), { 0 }, 0, 'R', 0, 0 }; -static __Pyx_TypeInfo __Pyx_TypeInfo_int = { "int", NULL, sizeof(int), { 0 }, 0, __PYX_IS_UNSIGNED(int) ? 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"tri_normal"; -static const char __pyx_k_ImportError[] = "ImportError"; -static const char __pyx_k_depth_buffer[] = "depth_buffer"; -static const char __pyx_k_initializing[] = "_initializing"; -static const char __pyx_k_is_coroutine[] = "_is_coroutine"; -static const char __pyx_k_mapping_type[] = "mapping_type"; -static const char __pyx_k_tex_triangles[] = "tex_triangles"; -static const char __pyx_k_get_normal_core[] = "get_normal_core"; -static const char __pyx_k_triangle_buffer[] = "triangle_buffer"; -static const char __pyx_k_asyncio_coroutines[] = "asyncio.coroutines"; -static const char __pyx_k_barycentric_weight[] = "barycentric_weight"; -static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback"; -static const char __pyx_k_render_colors_core[] = "render_colors_core"; -static const char __pyx_k_render_texture_core[] = "render_texture_core"; -static const char __pyx_k_rasterize_triangles_core[] = "rasterize_triangles_core"; -static const char __pyx_k_insightface_thirdparty_face3d_me[] = "insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.pyx"; -static const char __pyx_k_numpy__core_multiarray_failed_to[] = "numpy._core.multiarray failed to import"; -static const char __pyx_k_numpy__core_umath_failed_to_impo[] = "numpy._core.umath failed to import"; -static const char __pyx_k_write_obj_with_colors_texture_co[] = "write_obj_with_colors_texture_core"; -static const char __pyx_k_insightface_thirdparty_face3d_me_2[] = "insightface.thirdparty.face3d.mesh.cython.mesh_core_cython"; -/* #### Code section: decls ### */ -static PyObject *__pyx_pf_11insightface_10thirdparty_6face3d_4mesh_6cython_16mesh_core_cython_get_normal_core(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_normal, PyArrayObject *__pyx_v_tri_normal, PyArrayObject *__pyx_v_triangles, int __pyx_v_ntri); /* proto */ -static PyObject *__pyx_pf_11insightface_10thirdparty_6face3d_4mesh_6cython_16mesh_core_cython_2rasterize_triangles_core(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_vertices, PyArrayObject *__pyx_v_triangles, PyArrayObject *__pyx_v_depth_buffer, PyArrayObject *__pyx_v_triangle_buffer, PyArrayObject *__pyx_v_barycentric_weight, int __pyx_v_nver, int __pyx_v_ntri, int __pyx_v_h, int __pyx_v_w); /* proto */ -static PyObject *__pyx_pf_11insightface_10thirdparty_6face3d_4mesh_6cython_16mesh_core_cython_4render_colors_core(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_image, PyArrayObject *__pyx_v_vertices, PyArrayObject *__pyx_v_triangles, PyArrayObject *__pyx_v_colors, PyArrayObject *__pyx_v_depth_buffer, int __pyx_v_nver, int __pyx_v_ntri, int __pyx_v_h, int __pyx_v_w, int __pyx_v_c); /* proto */ -static PyObject *__pyx_pf_11insightface_10thirdparty_6face3d_4mesh_6cython_16mesh_core_cython_6render_texture_core(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_image, PyArrayObject *__pyx_v_vertices, PyArrayObject *__pyx_v_triangles, PyArrayObject *__pyx_v_texture, PyArrayObject 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__pyx_mstate_global->__pyx_kp_s_insightface_thirdparty_face3d_me -#define __pyx_n_s_insightface_thirdparty_face3d_me_2 __pyx_mstate_global->__pyx_n_s_insightface_thirdparty_face3d_me_2 -#define __pyx_n_s_is_coroutine __pyx_mstate_global->__pyx_n_s_is_coroutine -#define __pyx_n_s_main __pyx_mstate_global->__pyx_n_s_main -#define __pyx_n_s_mapping_type __pyx_mstate_global->__pyx_n_s_mapping_type -#define __pyx_n_s_mtl_name __pyx_mstate_global->__pyx_n_s_mtl_name -#define __pyx_n_s_name __pyx_mstate_global->__pyx_n_s_name -#define __pyx_n_s_normal __pyx_mstate_global->__pyx_n_s_normal -#define __pyx_n_s_np __pyx_mstate_global->__pyx_n_s_np -#define __pyx_n_s_ntexver __pyx_mstate_global->__pyx_n_s_ntexver -#define __pyx_n_s_ntri __pyx_mstate_global->__pyx_n_s_ntri -#define __pyx_n_s_numpy __pyx_mstate_global->__pyx_n_s_numpy -#define __pyx_kp_s_numpy__core_multiarray_failed_to __pyx_mstate_global->__pyx_kp_s_numpy__core_multiarray_failed_to -#define 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__pyx_mstate_global->__pyx_n_s_texture -#define __pyx_n_s_tri_normal __pyx_mstate_global->__pyx_n_s_tri_normal -#define __pyx_n_s_triangle_buffer __pyx_mstate_global->__pyx_n_s_triangle_buffer -#define __pyx_n_s_triangles __pyx_mstate_global->__pyx_n_s_triangles -#define __pyx_n_s_uv_coords __pyx_mstate_global->__pyx_n_s_uv_coords -#define __pyx_n_s_vertices __pyx_mstate_global->__pyx_n_s_vertices -#define __pyx_n_s_w __pyx_mstate_global->__pyx_n_s_w -#define __pyx_n_s_write_obj_with_colors_texture_co __pyx_mstate_global->__pyx_n_s_write_obj_with_colors_texture_co -#define __pyx_tuple_ __pyx_mstate_global->__pyx_tuple_ -#define __pyx_tuple__2 __pyx_mstate_global->__pyx_tuple__2 -#define __pyx_tuple__4 __pyx_mstate_global->__pyx_tuple__4 -#define __pyx_tuple__6 __pyx_mstate_global->__pyx_tuple__6 -#define __pyx_tuple__8 __pyx_mstate_global->__pyx_tuple__8 -#define __pyx_tuple__10 __pyx_mstate_global->__pyx_tuple__10 -#define __pyx_tuple__12 __pyx_mstate_global->__pyx_tuple__12 -#define 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- } - #endif - Py_XINCREF(local_tb); - Py_XINCREF(local_type); - Py_XINCREF(local_value); - *type = local_type; - *value = local_value; - *tb = local_tb; -#if CYTHON_FAST_THREAD_STATE - #if CYTHON_USE_EXC_INFO_STACK - { - _PyErr_StackItem *exc_info = tstate->exc_info; - #if PY_VERSION_HEX >= 0x030B00a4 - tmp_value = exc_info->exc_value; - exc_info->exc_value = local_value; - tmp_type = NULL; - tmp_tb = NULL; - Py_XDECREF(local_type); - Py_XDECREF(local_tb); - #else - tmp_type = exc_info->exc_type; - tmp_value = exc_info->exc_value; - tmp_tb = exc_info->exc_traceback; - exc_info->exc_type = local_type; - exc_info->exc_value = local_value; - exc_info->exc_traceback = local_tb; - #endif - } - #else - tmp_type = tstate->exc_type; - tmp_value = tstate->exc_value; - tmp_tb = tstate->exc_traceback; - tstate->exc_type = local_type; - tstate->exc_value = local_value; - tstate->exc_traceback = local_tb; - #endif - Py_XDECREF(tmp_type); - Py_XDECREF(tmp_value); - Py_XDECREF(tmp_tb); -#else - PyErr_SetExcInfo(local_type, local_value, local_tb); -#endif - return 0; -bad: - *type = 0; - *value = 0; - *tb = 0; - Py_XDECREF(local_type); - Py_XDECREF(local_value); - Py_XDECREF(local_tb); - return -1; -} - -/* PyObjectCall */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) { - PyObject *result; - ternaryfunc call = Py_TYPE(func)->tp_call; - if (unlikely(!call)) - return PyObject_Call(func, arg, kw); - #if PY_MAJOR_VERSION < 3 - if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object"))) - return NULL; - #else - if (unlikely(Py_EnterRecursiveCall(" while calling a Python object"))) - return NULL; - #endif - result = (*call)(func, arg, kw); - Py_LeaveRecursiveCall(); - if (unlikely(!result) && unlikely(!PyErr_Occurred())) { - PyErr_SetString( - PyExc_SystemError, - "NULL result without error in PyObject_Call"); - } - return result; -} -#endif - -/* RaiseException */ -#if PY_MAJOR_VERSION < 3 -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { - __Pyx_PyThreadState_declare - CYTHON_UNUSED_VAR(cause); - Py_XINCREF(type); - if (!value || value == Py_None) - value = NULL; - else - Py_INCREF(value); - if (!tb || tb == Py_None) - tb = NULL; - else { - Py_INCREF(tb); - if (!PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto raise_error; - } - } - if (PyType_Check(type)) { -#if CYTHON_COMPILING_IN_PYPY - if (!value) { - Py_INCREF(Py_None); - value = Py_None; - } -#endif - PyErr_NormalizeException(&type, &value, &tb); - } else { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto raise_error; - } - value = type; - type = (PyObject*) Py_TYPE(type); - Py_INCREF(type); - if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto raise_error; - } - } - __Pyx_PyThreadState_assign - __Pyx_ErrRestore(type, value, tb); - return; -raise_error: - Py_XDECREF(value); - Py_XDECREF(type); - Py_XDECREF(tb); - return; -} -#else -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) { - PyObject* owned_instance = NULL; - if (tb == Py_None) { - tb = 0; - } else if (tb && !PyTraceBack_Check(tb)) { - PyErr_SetString(PyExc_TypeError, - "raise: arg 3 must be a traceback or None"); - goto bad; - } - if (value == Py_None) - value = 0; - if (PyExceptionInstance_Check(type)) { - if (value) { - PyErr_SetString(PyExc_TypeError, - "instance exception may not have a separate value"); - goto bad; - } - value = type; - type = (PyObject*) Py_TYPE(value); - } else if (PyExceptionClass_Check(type)) { - PyObject *instance_class = NULL; - if (value && PyExceptionInstance_Check(value)) { - instance_class = (PyObject*) Py_TYPE(value); - if (instance_class != type) { - int is_subclass = PyObject_IsSubclass(instance_class, type); - if (!is_subclass) { - instance_class = NULL; - } else if (unlikely(is_subclass == -1)) { - goto bad; - } else { - type = instance_class; - } - } - } - if (!instance_class) { - PyObject *args; - if (!value) - args = PyTuple_New(0); - else if (PyTuple_Check(value)) { - Py_INCREF(value); - args = value; - } else - args = PyTuple_Pack(1, value); - if (!args) - goto bad; - owned_instance = PyObject_Call(type, args, NULL); - Py_DECREF(args); - if (!owned_instance) - goto bad; - value = owned_instance; - if (!PyExceptionInstance_Check(value)) { - PyErr_Format(PyExc_TypeError, - "calling %R should have returned an instance of " - "BaseException, not %R", - type, Py_TYPE(value)); - goto bad; - } - } - } else { - PyErr_SetString(PyExc_TypeError, - "raise: exception class must be a subclass of BaseException"); - goto bad; - } - if (cause) { - PyObject *fixed_cause; - if (cause == Py_None) { - fixed_cause = NULL; - } else if (PyExceptionClass_Check(cause)) { - fixed_cause = PyObject_CallObject(cause, NULL); - if (fixed_cause == NULL) - goto bad; - } else if (PyExceptionInstance_Check(cause)) { - fixed_cause = cause; - Py_INCREF(fixed_cause); - } else { - PyErr_SetString(PyExc_TypeError, - "exception causes must derive from " - "BaseException"); - goto bad; - } - PyException_SetCause(value, fixed_cause); - } - PyErr_SetObject(type, value); - if (tb) { - #if PY_VERSION_HEX >= 0x030C00A6 - PyException_SetTraceback(value, tb); - #elif CYTHON_FAST_THREAD_STATE - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject* tmp_tb = tstate->curexc_traceback; - if (tb != tmp_tb) { - Py_INCREF(tb); - tstate->curexc_traceback = tb; - Py_XDECREF(tmp_tb); - } -#else - PyObject *tmp_type, *tmp_value, *tmp_tb; - PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb); - Py_INCREF(tb); - PyErr_Restore(tmp_type, tmp_value, tb); - Py_XDECREF(tmp_tb); -#endif - } -bad: - Py_XDECREF(owned_instance); - return; -} -#endif - -/* TupleAndListFromArray */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE void __Pyx_copy_object_array(PyObject *const *CYTHON_RESTRICT src, PyObject** CYTHON_RESTRICT dest, Py_ssize_t length) { - PyObject *v; - Py_ssize_t i; - for (i = 0; i < length; i++) { - v = dest[i] = src[i]; - Py_INCREF(v); - } -} -static CYTHON_INLINE PyObject * -__Pyx_PyTuple_FromArray(PyObject *const *src, Py_ssize_t n) -{ - PyObject *res; - if (n <= 0) { - Py_INCREF(__pyx_empty_tuple); - return __pyx_empty_tuple; - } - res = PyTuple_New(n); - if (unlikely(res == NULL)) return NULL; - __Pyx_copy_object_array(src, ((PyTupleObject*)res)->ob_item, n); - return res; -} -static CYTHON_INLINE PyObject * -__Pyx_PyList_FromArray(PyObject *const *src, Py_ssize_t n) -{ - PyObject *res; - if (n <= 0) { - return PyList_New(0); - } - res = PyList_New(n); - if (unlikely(res == NULL)) return NULL; - __Pyx_copy_object_array(src, ((PyListObject*)res)->ob_item, n); - return res; -} -#endif - -/* BytesEquals */ -static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) { -#if CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API - return PyObject_RichCompareBool(s1, s2, equals); -#else - if (s1 == s2) { - return (equals == Py_EQ); - } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) { - const char *ps1, *ps2; - Py_ssize_t length = PyBytes_GET_SIZE(s1); - if (length != PyBytes_GET_SIZE(s2)) - return (equals == Py_NE); - ps1 = PyBytes_AS_STRING(s1); - ps2 = PyBytes_AS_STRING(s2); - if (ps1[0] != ps2[0]) { - return (equals == Py_NE); - } else if (length == 1) { - return (equals == Py_EQ); - } else { - int result; -#if CYTHON_USE_UNICODE_INTERNALS && (PY_VERSION_HEX < 0x030B0000) - Py_hash_t hash1, hash2; - hash1 = ((PyBytesObject*)s1)->ob_shash; - hash2 = ((PyBytesObject*)s2)->ob_shash; - if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { - return (equals == Py_NE); - } -#endif - result = memcmp(ps1, ps2, (size_t)length); - return (equals == Py_EQ) ? (result == 0) : (result != 0); - } - } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) { - return (equals == Py_NE); - } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) { - return (equals == Py_NE); - } else { - int result; - PyObject* py_result = PyObject_RichCompare(s1, s2, equals); - if (!py_result) - return -1; - result = __Pyx_PyObject_IsTrue(py_result); - Py_DECREF(py_result); - return result; - } -#endif -} - -/* UnicodeEquals */ -static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) { -#if CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API - return PyObject_RichCompareBool(s1, s2, equals); -#else -#if PY_MAJOR_VERSION < 3 - PyObject* owned_ref = NULL; -#endif - int s1_is_unicode, s2_is_unicode; - if (s1 == s2) { - goto return_eq; - } - s1_is_unicode = PyUnicode_CheckExact(s1); - s2_is_unicode = PyUnicode_CheckExact(s2); -#if PY_MAJOR_VERSION < 3 - if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) { - owned_ref = PyUnicode_FromObject(s2); - if (unlikely(!owned_ref)) - return -1; - s2 = owned_ref; - s2_is_unicode = 1; - } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) { - owned_ref = PyUnicode_FromObject(s1); - if (unlikely(!owned_ref)) - return -1; - s1 = owned_ref; - s1_is_unicode = 1; - } else if (((!s2_is_unicode) & (!s1_is_unicode))) { - return __Pyx_PyBytes_Equals(s1, s2, equals); - } -#endif - if (s1_is_unicode & s2_is_unicode) { - Py_ssize_t length; - int kind; - void *data1, *data2; - if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0)) - return -1; - length = __Pyx_PyUnicode_GET_LENGTH(s1); - if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) { - goto return_ne; - } -#if CYTHON_USE_UNICODE_INTERNALS - { - Py_hash_t hash1, hash2; - #if CYTHON_PEP393_ENABLED - hash1 = ((PyASCIIObject*)s1)->hash; - hash2 = ((PyASCIIObject*)s2)->hash; - #else - hash1 = ((PyUnicodeObject*)s1)->hash; - hash2 = ((PyUnicodeObject*)s2)->hash; - #endif - if (hash1 != hash2 && hash1 != -1 && hash2 != -1) { - goto return_ne; - } - } -#endif - kind = __Pyx_PyUnicode_KIND(s1); - if (kind != __Pyx_PyUnicode_KIND(s2)) { - goto return_ne; - } - data1 = __Pyx_PyUnicode_DATA(s1); - data2 = __Pyx_PyUnicode_DATA(s2); - if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) { - goto return_ne; - } else if (length == 1) { - goto return_eq; - } else { - int result = memcmp(data1, data2, (size_t)(length * kind)); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_EQ) ? (result == 0) : (result != 0); - } - } else if ((s1 == Py_None) & s2_is_unicode) { - goto return_ne; - } else if ((s2 == Py_None) & s1_is_unicode) { - goto return_ne; - } else { - int result; - PyObject* py_result = PyObject_RichCompare(s1, s2, equals); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - if (!py_result) - return -1; - result = __Pyx_PyObject_IsTrue(py_result); - Py_DECREF(py_result); - return result; - } -return_eq: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_EQ); -return_ne: - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(owned_ref); - #endif - return (equals == Py_NE); -#endif -} - -/* fastcall */ -#if CYTHON_METH_FASTCALL -static CYTHON_INLINE PyObject * __Pyx_GetKwValue_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues, PyObject *s) -{ - Py_ssize_t i, n = PyTuple_GET_SIZE(kwnames); - for (i = 0; i < n; i++) - { - if (s == PyTuple_GET_ITEM(kwnames, i)) return kwvalues[i]; - } - for (i = 0; i < n; i++) - { - int eq = __Pyx_PyUnicode_Equals(s, PyTuple_GET_ITEM(kwnames, i), Py_EQ); - if (unlikely(eq != 0)) { - if (unlikely(eq < 0)) return NULL; - return kwvalues[i]; - } - } - return NULL; -} -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 -CYTHON_UNUSED static PyObject *__Pyx_KwargsAsDict_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues) { - Py_ssize_t i, nkwargs = PyTuple_GET_SIZE(kwnames); - PyObject *dict; - dict = PyDict_New(); - if (unlikely(!dict)) - return NULL; - for (i=0; i= 3 - "%s() got multiple values for keyword argument '%U'", func_name, kw_name); - #else - "%s() got multiple values for keyword argument '%s'", func_name, - PyString_AsString(kw_name)); - #endif -} - -/* ParseKeywords */ -static int __Pyx_ParseOptionalKeywords( - PyObject *kwds, - PyObject *const *kwvalues, - PyObject **argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - const char* function_name) -{ - PyObject *key = 0, *value = 0; - Py_ssize_t pos = 0; - PyObject*** name; - PyObject*** first_kw_arg = argnames + num_pos_args; - int kwds_is_tuple = CYTHON_METH_FASTCALL && likely(PyTuple_Check(kwds)); - while (1) { - Py_XDECREF(key); key = NULL; - Py_XDECREF(value); value = NULL; - if (kwds_is_tuple) { - Py_ssize_t size; -#if CYTHON_ASSUME_SAFE_MACROS - size = PyTuple_GET_SIZE(kwds); -#else - size = PyTuple_Size(kwds); - if (size < 0) goto bad; -#endif - if (pos >= size) break; -#if CYTHON_AVOID_BORROWED_REFS - key = __Pyx_PySequence_ITEM(kwds, pos); - if (!key) goto bad; -#elif CYTHON_ASSUME_SAFE_MACROS - key = PyTuple_GET_ITEM(kwds, pos); -#else - key = PyTuple_GetItem(kwds, pos); - if (!key) goto bad; -#endif - value = kwvalues[pos]; - pos++; - } - else - { - if (!PyDict_Next(kwds, &pos, &key, &value)) break; -#if CYTHON_AVOID_BORROWED_REFS - Py_INCREF(key); -#endif - } - name = first_kw_arg; - while (*name && (**name != key)) name++; - if (*name) { - values[name-argnames] = value; -#if CYTHON_AVOID_BORROWED_REFS - Py_INCREF(value); - Py_DECREF(key); -#endif - key = NULL; - value = NULL; - continue; - } -#if !CYTHON_AVOID_BORROWED_REFS - Py_INCREF(key); -#endif - Py_INCREF(value); - name = first_kw_arg; - #if PY_MAJOR_VERSION < 3 - if (likely(PyString_Check(key))) { - while (*name) { - if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key)) - && _PyString_Eq(**name, key)) { - values[name-argnames] = value; -#if CYTHON_AVOID_BORROWED_REFS - value = NULL; -#endif - break; - } - name++; - } - if (*name) continue; - else { - PyObject*** argname = argnames; - while (argname != first_kw_arg) { - if ((**argname == key) || ( - (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key)) - && _PyString_Eq(**argname, key))) { - goto arg_passed_twice; - } - argname++; - } - } - } else - #endif - if (likely(PyUnicode_Check(key))) { - while (*name) { - int cmp = ( - #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 - (__Pyx_PyUnicode_GET_LENGTH(**name) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : - #endif - PyUnicode_Compare(**name, key) - ); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) { - values[name-argnames] = value; -#if CYTHON_AVOID_BORROWED_REFS - value = NULL; -#endif - break; - } - name++; - } - if (*name) continue; - else { - PyObject*** argname = argnames; - while (argname != first_kw_arg) { - int cmp = (**argname == key) ? 0 : - #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3 - (__Pyx_PyUnicode_GET_LENGTH(**argname) != __Pyx_PyUnicode_GET_LENGTH(key)) ? 1 : - #endif - PyUnicode_Compare(**argname, key); - if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad; - if (cmp == 0) goto arg_passed_twice; - argname++; - } - } - } else - goto invalid_keyword_type; - if (kwds2) { - if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad; - } else { - goto invalid_keyword; - } - } - Py_XDECREF(key); - Py_XDECREF(value); - return 0; -arg_passed_twice: - __Pyx_RaiseDoubleKeywordsError(function_name, key); - goto bad; -invalid_keyword_type: - PyErr_Format(PyExc_TypeError, - "%.200s() keywords must be strings", function_name); - goto bad; -invalid_keyword: - #if PY_MAJOR_VERSION < 3 - PyErr_Format(PyExc_TypeError, - "%.200s() got an unexpected keyword argument '%.200s'", - function_name, PyString_AsString(key)); - #else - PyErr_Format(PyExc_TypeError, - "%s() got an unexpected keyword argument '%U'", - function_name, key); - #endif -bad: - Py_XDECREF(key); - Py_XDECREF(value); - return -1; -} - -/* ArgTypeTest */ -static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact) -{ - __Pyx_TypeName type_name; - __Pyx_TypeName obj_type_name; - if (unlikely(!type)) { - PyErr_SetString(PyExc_SystemError, "Missing type object"); - return 0; - } - else if (exact) { - #if PY_MAJOR_VERSION == 2 - if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1; - #endif - } - else { - if (likely(__Pyx_TypeCheck(obj, type))) return 1; - } - type_name = __Pyx_PyType_GetName(type); - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "Argument '%.200s' has incorrect type (expected " __Pyx_FMT_TYPENAME - ", got " __Pyx_FMT_TYPENAME ")", name, type_name, obj_type_name); - __Pyx_DECREF_TypeName(type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return 0; -} - -/* IsLittleEndian */ -static CYTHON_INLINE int __Pyx_Is_Little_Endian(void) -{ - union { - uint32_t u32; - uint8_t u8[4]; - } S; - S.u32 = 0x01020304; - return S.u8[0] == 4; -} - -/* BufferFormatCheck */ -static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx, - __Pyx_BufFmt_StackElem* stack, - __Pyx_TypeInfo* type) { - stack[0].field = &ctx->root; - stack[0].parent_offset = 0; - ctx->root.type = type; - ctx->root.name = "buffer dtype"; - ctx->root.offset = 0; - ctx->head = stack; - ctx->head->field = &ctx->root; - ctx->fmt_offset = 0; - ctx->head->parent_offset = 0; - ctx->new_packmode = '@'; - ctx->enc_packmode = '@'; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->is_complex = 0; - ctx->is_valid_array = 0; - ctx->struct_alignment = 0; - while (type->typegroup == 'S') { - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = 0; - type = type->fields->type; - } -} -static int __Pyx_BufFmt_ParseNumber(const char** ts) { - int count; - const char* t = *ts; - if (*t < '0' || *t > '9') { - return -1; - } else { - count = *t++ - '0'; - while (*t >= '0' && *t <= '9') { - count *= 10; - count += *t++ - '0'; - } - } - *ts = t; - return count; -} -static int __Pyx_BufFmt_ExpectNumber(const char **ts) { - int number = __Pyx_BufFmt_ParseNumber(ts); - if (number == -1) - PyErr_Format(PyExc_ValueError,\ - "Does not understand character buffer dtype format string ('%c')", **ts); - return number; -} -static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) { - PyErr_Format(PyExc_ValueError, - "Unexpected format string character: '%c'", ch); -} -static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) { - switch (ch) { - case '?': return "'bool'"; - case 'c': return "'char'"; - case 'b': return "'signed char'"; - case 'B': return "'unsigned char'"; - case 'h': return "'short'"; - case 'H': return "'unsigned short'"; - case 'i': return "'int'"; - case 'I': return "'unsigned int'"; - case 'l': return "'long'"; - case 'L': return "'unsigned long'"; - case 'q': return "'long long'"; - case 'Q': return "'unsigned long long'"; - case 'f': return (is_complex ? "'complex float'" : "'float'"); - case 'd': return (is_complex ? "'complex double'" : "'double'"); - case 'g': return (is_complex ? "'complex long double'" : "'long double'"); - case 'T': return "a struct"; - case 'O': return "Python object"; - case 'P': return "a pointer"; - case 's': case 'p': return "a string"; - case 0: return "end"; - default: return "unparsable format string"; - } -} -static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return 2; - case 'i': case 'I': case 'l': case 'L': return 4; - case 'q': case 'Q': return 8; - case 'f': return (is_complex ? 8 : 4); - case 'd': return (is_complex ? 16 : 8); - case 'g': { - PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g').."); - return 0; - } - case 'O': case 'P': return sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) { - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(short); - case 'i': case 'I': return sizeof(int); - case 'l': case 'L': return sizeof(long); - #ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(PY_LONG_LONG); - #endif - case 'f': return sizeof(float) * (is_complex ? 2 : 1); - case 'd': return sizeof(double) * (is_complex ? 2 : 1); - case 'g': return sizeof(long double) * (is_complex ? 2 : 1); - case 'O': case 'P': return sizeof(void*); - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -typedef struct { char c; short x; } __Pyx_st_short; -typedef struct { char c; int x; } __Pyx_st_int; -typedef struct { char c; long x; } __Pyx_st_long; -typedef struct { char c; float x; } __Pyx_st_float; -typedef struct { char c; double x; } __Pyx_st_double; -typedef struct { char c; long double x; } __Pyx_st_longdouble; -typedef struct { char c; void *x; } __Pyx_st_void_p; -#ifdef HAVE_LONG_LONG -typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong; -#endif -static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, int is_complex) { - CYTHON_UNUSED_VAR(is_complex); - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long); -#ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG); -#endif - case 'f': return sizeof(__Pyx_st_float) - sizeof(float); - case 'd': return sizeof(__Pyx_st_double) - sizeof(double); - case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -/* These are for computing the padding at the end of the struct to align - on the first member of the struct. This will probably the same as above, - but we don't have any guarantees. - */ -typedef struct { short x; char c; } __Pyx_pad_short; -typedef struct { int x; char c; } __Pyx_pad_int; -typedef struct { long x; char c; } __Pyx_pad_long; -typedef struct { float x; char c; } __Pyx_pad_float; -typedef struct { double x; char c; } __Pyx_pad_double; -typedef struct { long double x; char c; } __Pyx_pad_longdouble; -typedef struct { void *x; char c; } __Pyx_pad_void_p; -#ifdef HAVE_LONG_LONG -typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong; -#endif -static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, int is_complex) { - CYTHON_UNUSED_VAR(is_complex); - switch (ch) { - case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1; - case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short); - case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int); - case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long); -#ifdef HAVE_LONG_LONG - case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG); -#endif - case 'f': return sizeof(__Pyx_pad_float) - sizeof(float); - case 'd': return sizeof(__Pyx_pad_double) - sizeof(double); - case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double); - case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*); - default: - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } -} -static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) { - switch (ch) { - case 'c': - return 'H'; - case 'b': case 'h': case 'i': - case 'l': case 'q': case 's': case 'p': - return 'I'; - case '?': case 'B': case 'H': case 'I': case 'L': case 'Q': - return 'U'; - case 'f': case 'd': case 'g': - return (is_complex ? 'C' : 'R'); - case 'O': - return 'O'; - case 'P': - return 'P'; - default: { - __Pyx_BufFmt_RaiseUnexpectedChar(ch); - return 0; - } - } -} -static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) { - if (ctx->head == NULL || ctx->head->field == &ctx->root) { - const char* expected; - const char* quote; - if (ctx->head == NULL) { - expected = "end"; - quote = ""; - } else { - expected = ctx->head->field->type->name; - quote = "'"; - } - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected %s%s%s but got %s", - quote, expected, quote, - __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex)); - } else { - __Pyx_StructField* field = ctx->head->field; - __Pyx_StructField* parent = (ctx->head - 1)->field; - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'", - field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex), - parent->type->name, field->name); - } -} -static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) { - char group; - size_t size, offset, arraysize = 1; - if (ctx->enc_type == 0) return 0; - if (ctx->head->field->type->arraysize[0]) { - int i, ndim = 0; - if (ctx->enc_type == 's' || ctx->enc_type == 'p') { - ctx->is_valid_array = ctx->head->field->type->ndim == 1; - ndim = 1; - if (ctx->enc_count != ctx->head->field->type->arraysize[0]) { - PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %zu", - ctx->head->field->type->arraysize[0], ctx->enc_count); - return -1; - } - } - if (!ctx->is_valid_array) { - PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d", - ctx->head->field->type->ndim, ndim); - return -1; - } - for (i = 0; i < ctx->head->field->type->ndim; i++) { - arraysize *= ctx->head->field->type->arraysize[i]; - } - ctx->is_valid_array = 0; - ctx->enc_count = 1; - } - group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex); - do { - __Pyx_StructField* field = ctx->head->field; - __Pyx_TypeInfo* type = field->type; - if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') { - size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex); - } else { - size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex); - } - if (ctx->enc_packmode == '@') { - size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex); - size_t align_mod_offset; - if (align_at == 0) return -1; - align_mod_offset = ctx->fmt_offset % align_at; - if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset; - if (ctx->struct_alignment == 0) - ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type, - ctx->is_complex); - } - if (type->size != size || type->typegroup != group) { - if (type->typegroup == 'C' && type->fields != NULL) { - size_t parent_offset = ctx->head->parent_offset + field->offset; - ++ctx->head; - ctx->head->field = type->fields; - ctx->head->parent_offset = parent_offset; - continue; - } - if ((type->typegroup == 'H' || group == 'H') && type->size == size) { - } else { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - } - offset = ctx->head->parent_offset + field->offset; - if (ctx->fmt_offset != offset) { - PyErr_Format(PyExc_ValueError, - "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected", - (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset); - return -1; - } - ctx->fmt_offset += size; - if (arraysize) - ctx->fmt_offset += (arraysize - 1) * size; - --ctx->enc_count; - while (1) { - if (field == &ctx->root) { - ctx->head = NULL; - if (ctx->enc_count != 0) { - __Pyx_BufFmt_RaiseExpected(ctx); - return -1; - } - break; - } - ctx->head->field = ++field; - if (field->type == NULL) { - --ctx->head; - field = ctx->head->field; - continue; - } else if (field->type->typegroup == 'S') { - size_t parent_offset = ctx->head->parent_offset + field->offset; - if (field->type->fields->type == NULL) continue; - field = field->type->fields; - ++ctx->head; - ctx->head->field = field; - ctx->head->parent_offset = parent_offset; - break; - } else { - break; - } - } - } while (ctx->enc_count); - ctx->enc_type = 0; - ctx->is_complex = 0; - return 0; -} -static int -__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp) -{ - const char *ts = *tsp; - int i = 0, number, ndim; - ++ts; - if (ctx->new_count != 1) { - PyErr_SetString(PyExc_ValueError, - "Cannot handle repeated arrays in format string"); - return -1; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return -1; - ndim = ctx->head->field->type->ndim; - while (*ts && *ts != ')') { - switch (*ts) { - case ' ': case '\f': case '\r': case '\n': case '\t': case '\v': continue; - default: break; - } - number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return -1; - if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i]) { - PyErr_Format(PyExc_ValueError, - "Expected a dimension of size %zu, got %d", - ctx->head->field->type->arraysize[i], number); - return -1; - } - if (*ts != ',' && *ts != ')') { - PyErr_Format(PyExc_ValueError, - "Expected a comma in format string, got '%c'", *ts); - return -1; - } - if (*ts == ',') ts++; - i++; - } - if (i != ndim) { - PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d", - ctx->head->field->type->ndim, i); - return -1; - } - if (!*ts) { - PyErr_SetString(PyExc_ValueError, - "Unexpected end of format string, expected ')'"); - return -1; - } - ctx->is_valid_array = 1; - ctx->new_count = 1; - *tsp = ++ts; - return 0; -} -static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) { - int got_Z = 0; - while (1) { - switch(*ts) { - case 0: - if (ctx->enc_type != 0 && ctx->head == NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - if (ctx->head != NULL) { - __Pyx_BufFmt_RaiseExpected(ctx); - return NULL; - } - return ts; - case ' ': - case '\r': - case '\n': - ++ts; - break; - case '<': - if (!__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '>': - case '!': - if (__Pyx_Is_Little_Endian()) { - PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler"); - return NULL; - } - ctx->new_packmode = '='; - ++ts; - break; - case '=': - case '@': - case '^': - ctx->new_packmode = *ts++; - break; - case 'T': - { - const char* ts_after_sub; - size_t i, struct_count = ctx->new_count; - size_t struct_alignment = ctx->struct_alignment; - ctx->new_count = 1; - ++ts; - if (*ts != '{') { - PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'"); - return NULL; - } - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - ctx->enc_count = 0; - ctx->struct_alignment = 0; - ++ts; - ts_after_sub = ts; - for (i = 0; i != struct_count; ++i) { - ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts); - if (!ts_after_sub) return NULL; - } - ts = ts_after_sub; - if (struct_alignment) ctx->struct_alignment = struct_alignment; - } - break; - case '}': - { - size_t alignment = ctx->struct_alignment; - ++ts; - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_type = 0; - if (alignment && ctx->fmt_offset % alignment) { - ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment); - } - } - return ts; - case 'x': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->fmt_offset += ctx->new_count; - ctx->new_count = 1; - ctx->enc_count = 0; - ctx->enc_type = 0; - ctx->enc_packmode = ctx->new_packmode; - ++ts; - break; - case 'Z': - got_Z = 1; - ++ts; - if (*ts != 'f' && *ts != 'd' && *ts != 'g') { - __Pyx_BufFmt_RaiseUnexpectedChar('Z'); - return NULL; - } - CYTHON_FALLTHROUGH; - case '?': case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I': - case 'l': case 'L': case 'q': case 'Q': - case 'f': case 'd': case 'g': - case 'O': case 'p': - if ((ctx->enc_type == *ts) && (got_Z == ctx->is_complex) && - (ctx->enc_packmode == ctx->new_packmode) && (!ctx->is_valid_array)) { - ctx->enc_count += ctx->new_count; - ctx->new_count = 1; - got_Z = 0; - ++ts; - break; - } - CYTHON_FALLTHROUGH; - case 's': - if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL; - ctx->enc_count = ctx->new_count; - ctx->enc_packmode = ctx->new_packmode; - ctx->enc_type = *ts; - ctx->is_complex = got_Z; - ++ts; - ctx->new_count = 1; - got_Z = 0; - break; - case ':': - ++ts; - while(*ts != ':') ++ts; - ++ts; - break; - case '(': - if (__pyx_buffmt_parse_array(ctx, &ts) < 0) return NULL; - break; - default: - { - int number = __Pyx_BufFmt_ExpectNumber(&ts); - if (number == -1) return NULL; - ctx->new_count = (size_t)number; - } - } - } -} - -/* BufferGetAndValidate */ - static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) { - if (unlikely(info->buf == NULL)) return; - if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL; - __Pyx_ReleaseBuffer(info); -} -static void __Pyx_ZeroBuffer(Py_buffer* buf) { - buf->buf = NULL; - buf->obj = NULL; - buf->strides = __Pyx_zeros; - buf->shape = __Pyx_zeros; - buf->suboffsets = __Pyx_minusones; -} -static int __Pyx__GetBufferAndValidate( - Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags, - int nd, int cast, __Pyx_BufFmt_StackElem* stack) -{ - buf->buf = NULL; - if (unlikely(__Pyx_GetBuffer(obj, buf, flags) == -1)) { - __Pyx_ZeroBuffer(buf); - return -1; - } - if (unlikely(buf->ndim != nd)) { - PyErr_Format(PyExc_ValueError, - "Buffer has wrong number of dimensions (expected %d, got %d)", - nd, buf->ndim); - goto fail; - } - if (!cast) { - __Pyx_BufFmt_Context ctx; - __Pyx_BufFmt_Init(&ctx, stack, dtype); - if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail; - } - if (unlikely((size_t)buf->itemsize != dtype->size)) { - PyErr_Format(PyExc_ValueError, - "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)", - buf->itemsize, (buf->itemsize > 1) ? "s" : "", - dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : ""); - goto fail; - } - if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones; - return 0; -fail:; - __Pyx_SafeReleaseBuffer(buf); - return -1; -} - -/* TypeImport */ - #ifndef __PYX_HAVE_RT_ImportType_3_0_10 -#define __PYX_HAVE_RT_ImportType_3_0_10 -static PyTypeObject *__Pyx_ImportType_3_0_10(PyObject *module, const char *module_name, const char *class_name, - size_t size, size_t alignment, enum __Pyx_ImportType_CheckSize_3_0_10 check_size) -{ - PyObject *result = 0; - char warning[200]; - Py_ssize_t basicsize; - Py_ssize_t itemsize; -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *py_basicsize; - PyObject *py_itemsize; -#endif - result = PyObject_GetAttrString(module, class_name); - if (!result) - goto bad; - if (!PyType_Check(result)) { - PyErr_Format(PyExc_TypeError, - "%.200s.%.200s is not a type object", - module_name, class_name); - goto bad; - } -#if !CYTHON_COMPILING_IN_LIMITED_API - basicsize = ((PyTypeObject *)result)->tp_basicsize; - itemsize = ((PyTypeObject *)result)->tp_itemsize; -#else - py_basicsize = PyObject_GetAttrString(result, "__basicsize__"); - if (!py_basicsize) - goto bad; - basicsize = PyLong_AsSsize_t(py_basicsize); - Py_DECREF(py_basicsize); - py_basicsize = 0; - if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred()) - goto bad; - py_itemsize = PyObject_GetAttrString(result, "__itemsize__"); - if (!py_itemsize) - goto bad; - itemsize = PyLong_AsSsize_t(py_itemsize); - Py_DECREF(py_itemsize); - py_itemsize = 0; - if (itemsize == (Py_ssize_t)-1 && PyErr_Occurred()) - goto bad; -#endif - if (itemsize) { - if (size % alignment) { - alignment = size % alignment; - } - if (itemsize < (Py_ssize_t)alignment) - itemsize = (Py_ssize_t)alignment; - } - if ((size_t)(basicsize + itemsize) < size) { - PyErr_Format(PyExc_ValueError, - "%.200s.%.200s size changed, may indicate binary incompatibility. " - "Expected %zd from C header, got %zd from PyObject", - module_name, class_name, size, basicsize+itemsize); - goto bad; - } - if (check_size == __Pyx_ImportType_CheckSize_Error_3_0_10 && - ((size_t)basicsize > size || (size_t)(basicsize + itemsize) < size)) { - PyErr_Format(PyExc_ValueError, - "%.200s.%.200s size changed, may indicate binary incompatibility. " - "Expected %zd from C header, got %zd-%zd from PyObject", - module_name, class_name, size, basicsize, basicsize+itemsize); - goto bad; - } - else if (check_size == __Pyx_ImportType_CheckSize_Warn_3_0_10 && (size_t)basicsize > size) { - PyOS_snprintf(warning, sizeof(warning), - "%s.%s size changed, may indicate binary incompatibility. " - "Expected %zd from C header, got %zd from PyObject", - module_name, class_name, size, basicsize); - if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad; - } - return (PyTypeObject *)result; -bad: - Py_XDECREF(result); - return NULL; -} -#endif - -/* Import */ - static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) { - PyObject *module = 0; - PyObject *empty_dict = 0; - PyObject *empty_list = 0; - #if PY_MAJOR_VERSION < 3 - PyObject *py_import; - py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import); - if (unlikely(!py_import)) - goto bad; - if (!from_list) { - empty_list = PyList_New(0); - if (unlikely(!empty_list)) - goto bad; - from_list = empty_list; - } - #endif - empty_dict = PyDict_New(); - if (unlikely(!empty_dict)) - goto bad; - { - #if PY_MAJOR_VERSION >= 3 - if (level == -1) { - if (strchr(__Pyx_MODULE_NAME, '.') != NULL) { - module = PyImport_ImportModuleLevelObject( - name, __pyx_d, empty_dict, from_list, 1); - if (unlikely(!module)) { - if (unlikely(!PyErr_ExceptionMatches(PyExc_ImportError))) - goto bad; - PyErr_Clear(); - } - } - level = 0; - } - #endif - if (!module) { - #if PY_MAJOR_VERSION < 3 - PyObject *py_level = PyInt_FromLong(level); - if (unlikely(!py_level)) - goto bad; - module = PyObject_CallFunctionObjArgs(py_import, - name, __pyx_d, empty_dict, from_list, py_level, (PyObject *)NULL); - Py_DECREF(py_level); - #else - module = PyImport_ImportModuleLevelObject( - name, __pyx_d, empty_dict, from_list, level); - #endif - } - } -bad: - Py_XDECREF(empty_dict); - Py_XDECREF(empty_list); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(py_import); - #endif - return module; -} - -/* ImportDottedModule */ - #if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx__ImportDottedModule_Error(PyObject *name, PyObject *parts_tuple, Py_ssize_t count) { - PyObject *partial_name = NULL, *slice = NULL, *sep = NULL; - if (unlikely(PyErr_Occurred())) { - PyErr_Clear(); - } - if (likely(PyTuple_GET_SIZE(parts_tuple) == count)) { - partial_name = name; - } else { - slice = PySequence_GetSlice(parts_tuple, 0, count); - if (unlikely(!slice)) - goto bad; - sep = PyUnicode_FromStringAndSize(".", 1); - if (unlikely(!sep)) - goto bad; - partial_name = PyUnicode_Join(sep, slice); - } - PyErr_Format( -#if PY_MAJOR_VERSION < 3 - PyExc_ImportError, - "No module named '%s'", PyString_AS_STRING(partial_name)); -#else -#if PY_VERSION_HEX >= 0x030600B1 - PyExc_ModuleNotFoundError, -#else - PyExc_ImportError, -#endif - "No module named '%U'", partial_name); -#endif -bad: - Py_XDECREF(sep); - Py_XDECREF(slice); - Py_XDECREF(partial_name); - return NULL; -} -#endif -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx__ImportDottedModule_Lookup(PyObject *name) { - PyObject *imported_module; -#if PY_VERSION_HEX < 0x030700A1 || (CYTHON_COMPILING_IN_PYPY && PYPY_VERSION_NUM < 0x07030400) - PyObject *modules = PyImport_GetModuleDict(); - if (unlikely(!modules)) - return NULL; - imported_module = __Pyx_PyDict_GetItemStr(modules, name); - Py_XINCREF(imported_module); -#else - imported_module = PyImport_GetModule(name); -#endif - return imported_module; -} -#endif -#if PY_MAJOR_VERSION >= 3 -static PyObject *__Pyx_ImportDottedModule_WalkParts(PyObject *module, PyObject *name, PyObject *parts_tuple) { - Py_ssize_t i, nparts; - nparts = PyTuple_GET_SIZE(parts_tuple); - for (i=1; i < nparts && module; i++) { - PyObject *part, *submodule; -#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - part = PyTuple_GET_ITEM(parts_tuple, i); -#else - part = PySequence_ITEM(parts_tuple, i); -#endif - submodule = __Pyx_PyObject_GetAttrStrNoError(module, part); -#if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) - Py_DECREF(part); -#endif - Py_DECREF(module); - module = submodule; - } - if (unlikely(!module)) { - return __Pyx__ImportDottedModule_Error(name, parts_tuple, i); - } - return module; -} -#endif -static PyObject *__Pyx__ImportDottedModule(PyObject *name, PyObject *parts_tuple) { -#if PY_MAJOR_VERSION < 3 - PyObject *module, *from_list, *star = __pyx_n_s__3; - CYTHON_UNUSED_VAR(parts_tuple); - from_list = PyList_New(1); - if (unlikely(!from_list)) - return NULL; - Py_INCREF(star); - PyList_SET_ITEM(from_list, 0, star); - module = __Pyx_Import(name, from_list, 0); - Py_DECREF(from_list); - return module; -#else - PyObject *imported_module; - PyObject *module = __Pyx_Import(name, NULL, 0); - if (!parts_tuple || unlikely(!module)) - return module; - imported_module = __Pyx__ImportDottedModule_Lookup(name); - if (likely(imported_module)) { - Py_DECREF(module); - return imported_module; - } - PyErr_Clear(); - return __Pyx_ImportDottedModule_WalkParts(module, name, parts_tuple); -#endif -} -static PyObject *__Pyx_ImportDottedModule(PyObject *name, PyObject *parts_tuple) { -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030400B1 - PyObject *module = __Pyx__ImportDottedModule_Lookup(name); - if (likely(module)) { - PyObject *spec = __Pyx_PyObject_GetAttrStrNoError(module, __pyx_n_s_spec); - if (likely(spec)) { - PyObject *unsafe = __Pyx_PyObject_GetAttrStrNoError(spec, __pyx_n_s_initializing); - if (likely(!unsafe || !__Pyx_PyObject_IsTrue(unsafe))) { - Py_DECREF(spec); - spec = NULL; - } - Py_XDECREF(unsafe); - } - if (likely(!spec)) { - PyErr_Clear(); - return module; - } - Py_DECREF(spec); - Py_DECREF(module); - } else if (PyErr_Occurred()) { - PyErr_Clear(); - } -#endif - return __Pyx__ImportDottedModule(name, parts_tuple); -} - -/* FixUpExtensionType */ - #if CYTHON_USE_TYPE_SPECS -static int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type) { -#if PY_VERSION_HEX > 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - CYTHON_UNUSED_VAR(spec); - CYTHON_UNUSED_VAR(type); -#else - const PyType_Slot *slot = spec->slots; - while (slot && slot->slot && slot->slot != Py_tp_members) - slot++; - if (slot && slot->slot == Py_tp_members) { - int changed = 0; -#if !(PY_VERSION_HEX <= 0x030900b1 && CYTHON_COMPILING_IN_CPYTHON) - const -#endif - PyMemberDef *memb = (PyMemberDef*) slot->pfunc; - while (memb && memb->name) { - if (memb->name[0] == '_' && memb->name[1] == '_') { -#if PY_VERSION_HEX < 0x030900b1 - if (strcmp(memb->name, "__weaklistoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_weaklistoffset = memb->offset; - changed = 1; - } - else if (strcmp(memb->name, "__dictoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_dictoffset = memb->offset; - changed = 1; - } -#if CYTHON_METH_FASTCALL - else if (strcmp(memb->name, "__vectorcalloffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); -#if PY_VERSION_HEX >= 0x030800b4 - type->tp_vectorcall_offset = memb->offset; -#else - type->tp_print = (printfunc) memb->offset; -#endif - changed = 1; - } -#endif -#else - if ((0)); -#endif -#if PY_VERSION_HEX <= 0x030900b1 && CYTHON_COMPILING_IN_CPYTHON - else if (strcmp(memb->name, "__module__") == 0) { - PyObject *descr; - assert(memb->type == T_OBJECT); - assert(memb->flags == 0 || memb->flags == READONLY); - descr = PyDescr_NewMember(type, memb); - if (unlikely(!descr)) - return -1; - if (unlikely(PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr) < 0)) { - Py_DECREF(descr); - return -1; - } - Py_DECREF(descr); - changed = 1; - } -#endif - } - memb++; - } - if (changed) - PyType_Modified(type); - } -#endif - return 0; -} -#endif - -/* FetchSharedCythonModule */ - static PyObject *__Pyx_FetchSharedCythonABIModule(void) { - return __Pyx_PyImport_AddModuleRef((char*) __PYX_ABI_MODULE_NAME); -} - -/* FetchCommonType */ - static int __Pyx_VerifyCachedType(PyObject *cached_type, - const char *name, - Py_ssize_t basicsize, - Py_ssize_t expected_basicsize) { - if (!PyType_Check(cached_type)) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s is not a type object", name); - return -1; - } - if (basicsize != expected_basicsize) { - PyErr_Format(PyExc_TypeError, - "Shared Cython type %.200s has the wrong size, try recompiling", - name); - return -1; - } - return 0; -} -#if !CYTHON_USE_TYPE_SPECS -static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) { - PyObject* abi_module; - const char* object_name; - PyTypeObject *cached_type = NULL; - abi_module = __Pyx_FetchSharedCythonABIModule(); - if (!abi_module) return NULL; - object_name = strrchr(type->tp_name, '.'); - object_name = object_name ? object_name+1 : type->tp_name; - cached_type = (PyTypeObject*) PyObject_GetAttrString(abi_module, object_name); - if (cached_type) { - if (__Pyx_VerifyCachedType( - (PyObject *)cached_type, - object_name, - cached_type->tp_basicsize, - type->tp_basicsize) < 0) { - goto bad; - } - goto done; - } - if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; - PyErr_Clear(); - if (PyType_Ready(type) < 0) goto bad; - if (PyObject_SetAttrString(abi_module, object_name, (PyObject *)type) < 0) - goto bad; - Py_INCREF(type); - cached_type = type; -done: - Py_DECREF(abi_module); - return cached_type; -bad: - Py_XDECREF(cached_type); - cached_type = NULL; - goto done; -} -#else -static PyTypeObject *__Pyx_FetchCommonTypeFromSpec(PyObject *module, PyType_Spec *spec, PyObject *bases) { - PyObject *abi_module, *cached_type = NULL; - const char* object_name = strrchr(spec->name, '.'); - object_name = object_name ? object_name+1 : spec->name; - abi_module = __Pyx_FetchSharedCythonABIModule(); - if (!abi_module) return NULL; - cached_type = PyObject_GetAttrString(abi_module, object_name); - if (cached_type) { - Py_ssize_t basicsize; -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *py_basicsize; - py_basicsize = PyObject_GetAttrString(cached_type, "__basicsize__"); - if (unlikely(!py_basicsize)) goto bad; - basicsize = PyLong_AsSsize_t(py_basicsize); - Py_DECREF(py_basicsize); - py_basicsize = 0; - if (unlikely(basicsize == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad; -#else - basicsize = likely(PyType_Check(cached_type)) ? ((PyTypeObject*) cached_type)->tp_basicsize : -1; -#endif - if (__Pyx_VerifyCachedType( - cached_type, - object_name, - basicsize, - spec->basicsize) < 0) { - goto bad; - } - goto done; - } - if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad; - PyErr_Clear(); - CYTHON_UNUSED_VAR(module); - cached_type = __Pyx_PyType_FromModuleAndSpec(abi_module, spec, bases); - if (unlikely(!cached_type)) goto bad; - if (unlikely(__Pyx_fix_up_extension_type_from_spec(spec, (PyTypeObject *) cached_type) < 0)) goto bad; - if (PyObject_SetAttrString(abi_module, object_name, cached_type) < 0) goto bad; -done: - Py_DECREF(abi_module); - assert(cached_type == NULL || PyType_Check(cached_type)); - return (PyTypeObject *) cached_type; -bad: - Py_XDECREF(cached_type); - cached_type = NULL; - goto done; -} -#endif - -/* PyVectorcallFastCallDict */ - #if CYTHON_METH_FASTCALL -static PyObject *__Pyx_PyVectorcall_FastCallDict_kw(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) -{ - PyObject *res = NULL; - PyObject *kwnames; - PyObject **newargs; - PyObject **kwvalues; - Py_ssize_t i, pos; - size_t j; - PyObject *key, *value; - unsigned long keys_are_strings; - Py_ssize_t nkw = PyDict_GET_SIZE(kw); - newargs = (PyObject **)PyMem_Malloc((nargs + (size_t)nkw) * sizeof(args[0])); - if (unlikely(newargs == NULL)) { - PyErr_NoMemory(); - return NULL; - } - for (j = 0; j < nargs; j++) newargs[j] = args[j]; - kwnames = PyTuple_New(nkw); - if (unlikely(kwnames == NULL)) { - PyMem_Free(newargs); - return NULL; - } - kwvalues = newargs + nargs; - pos = i = 0; - keys_are_strings = Py_TPFLAGS_UNICODE_SUBCLASS; - while (PyDict_Next(kw, &pos, &key, &value)) { - keys_are_strings &= Py_TYPE(key)->tp_flags; - Py_INCREF(key); - Py_INCREF(value); - PyTuple_SET_ITEM(kwnames, i, key); - kwvalues[i] = value; - i++; - } - if (unlikely(!keys_are_strings)) { - PyErr_SetString(PyExc_TypeError, "keywords must be strings"); - goto cleanup; - } - res = vc(func, newargs, nargs, kwnames); -cleanup: - Py_DECREF(kwnames); - for (i = 0; i < nkw; i++) - Py_DECREF(kwvalues[i]); - PyMem_Free(newargs); - return res; -} -static CYTHON_INLINE PyObject *__Pyx_PyVectorcall_FastCallDict(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw) -{ - if (likely(kw == NULL) || PyDict_GET_SIZE(kw) == 0) { - return vc(func, args, nargs, NULL); - } - return __Pyx_PyVectorcall_FastCallDict_kw(func, vc, args, nargs, kw); -} -#endif - -/* CythonFunctionShared */ - #if CYTHON_COMPILING_IN_LIMITED_API -static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void *cfunc) { - if (__Pyx_CyFunction_Check(func)) { - return PyCFunction_GetFunction(((__pyx_CyFunctionObject*)func)->func) == (PyCFunction) cfunc; - } else if (PyCFunction_Check(func)) { - return PyCFunction_GetFunction(func) == (PyCFunction) cfunc; - } - return 0; -} -#else -static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void *cfunc) { - return __Pyx_CyOrPyCFunction_Check(func) && __Pyx_CyOrPyCFunction_GET_FUNCTION(func) == (PyCFunction) cfunc; -} -#endif -static CYTHON_INLINE void __Pyx__CyFunction_SetClassObj(__pyx_CyFunctionObject* f, PyObject* classobj) { -#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - __Pyx_Py_XDECREF_SET( - __Pyx_CyFunction_GetClassObj(f), - ((classobj) ? __Pyx_NewRef(classobj) : NULL)); -#else - __Pyx_Py_XDECREF_SET( - ((PyCMethodObject *) (f))->mm_class, - (PyTypeObject*)((classobj) ? __Pyx_NewRef(classobj) : NULL)); -#endif -} -static PyObject * -__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, void *closure) -{ - CYTHON_UNUSED_VAR(closure); - if (unlikely(op->func_doc == NULL)) { -#if CYTHON_COMPILING_IN_LIMITED_API - op->func_doc = PyObject_GetAttrString(op->func, "__doc__"); - if (unlikely(!op->func_doc)) return NULL; -#else - if (((PyCFunctionObject*)op)->m_ml->ml_doc) { -#if PY_MAJOR_VERSION >= 3 - op->func_doc = PyUnicode_FromString(((PyCFunctionObject*)op)->m_ml->ml_doc); -#else - op->func_doc = PyString_FromString(((PyCFunctionObject*)op)->m_ml->ml_doc); -#endif - if (unlikely(op->func_doc == NULL)) - return NULL; - } else { - Py_INCREF(Py_None); - return Py_None; - } -#endif - } - Py_INCREF(op->func_doc); - return op->func_doc; -} -static int -__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (value == NULL) { - value = Py_None; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_doc, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(op->func_name == NULL)) { -#if CYTHON_COMPILING_IN_LIMITED_API - op->func_name = PyObject_GetAttrString(op->func, "__name__"); -#elif PY_MAJOR_VERSION >= 3 - op->func_name = PyUnicode_InternFromString(((PyCFunctionObject*)op)->m_ml->ml_name); -#else - op->func_name = PyString_InternFromString(((PyCFunctionObject*)op)->m_ml->ml_name); -#endif - if (unlikely(op->func_name == NULL)) - return NULL; - } - Py_INCREF(op->func_name); - return op->func_name; -} -static int -__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); -#if PY_MAJOR_VERSION >= 3 - if (unlikely(value == NULL || !PyUnicode_Check(value))) -#else - if (unlikely(value == NULL || !PyString_Check(value))) -#endif - { - PyErr_SetString(PyExc_TypeError, - "__name__ must be set to a string object"); - return -1; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_name, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - Py_INCREF(op->func_qualname); - return op->func_qualname; -} -static int -__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); -#if PY_MAJOR_VERSION >= 3 - if (unlikely(value == NULL || !PyUnicode_Check(value))) -#else - if (unlikely(value == NULL || !PyString_Check(value))) -#endif - { - PyErr_SetString(PyExc_TypeError, - "__qualname__ must be set to a string object"); - return -1; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_qualname, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(op->func_dict == NULL)) { - op->func_dict = PyDict_New(); - if (unlikely(op->func_dict == NULL)) - return NULL; - } - Py_INCREF(op->func_dict); - return op->func_dict; -} -static int -__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value, void *context) -{ - CYTHON_UNUSED_VAR(context); - if (unlikely(value == NULL)) { - PyErr_SetString(PyExc_TypeError, - "function's dictionary may not be deleted"); - return -1; - } - if (unlikely(!PyDict_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "setting function's dictionary to a non-dict"); - return -1; - } - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->func_dict, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(context); - Py_INCREF(op->func_globals); - return op->func_globals; -} -static PyObject * -__Pyx_CyFunction_get_closure(__pyx_CyFunctionObject *op, void *context) -{ - CYTHON_UNUSED_VAR(op); - CYTHON_UNUSED_VAR(context); - Py_INCREF(Py_None); - return Py_None; -} -static PyObject * -__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, void *context) -{ - PyObject* result = (op->func_code) ? op->func_code : Py_None; - CYTHON_UNUSED_VAR(context); - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) { - int result = 0; - PyObject *res = op->defaults_getter((PyObject *) op); - if (unlikely(!res)) - return -1; - #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS - op->defaults_tuple = PyTuple_GET_ITEM(res, 0); - Py_INCREF(op->defaults_tuple); - op->defaults_kwdict = PyTuple_GET_ITEM(res, 1); - Py_INCREF(op->defaults_kwdict); - #else - op->defaults_tuple = __Pyx_PySequence_ITEM(res, 0); - if (unlikely(!op->defaults_tuple)) result = -1; - else { - op->defaults_kwdict = __Pyx_PySequence_ITEM(res, 1); - if (unlikely(!op->defaults_kwdict)) result = -1; - } - #endif - Py_DECREF(res); - return result; -} -static int -__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value) { - value = Py_None; - } else if (unlikely(value != Py_None && !PyTuple_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__defaults__ must be set to a tuple object"); - return -1; - } - PyErr_WarnEx(PyExc_RuntimeWarning, "changes to cyfunction.__defaults__ will not " - "currently affect the values used in function calls", 1); - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->defaults_tuple, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, void *context) { - PyObject* result = op->defaults_tuple; - CYTHON_UNUSED_VAR(context); - if (unlikely(!result)) { - if (op->defaults_getter) { - if (unlikely(__Pyx_CyFunction_init_defaults(op) < 0)) return NULL; - result = op->defaults_tuple; - } else { - result = Py_None; - } - } - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value) { - value = Py_None; - } else if (unlikely(value != Py_None && !PyDict_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__kwdefaults__ must be set to a dict object"); - return -1; - } - PyErr_WarnEx(PyExc_RuntimeWarning, "changes to cyfunction.__kwdefaults__ will not " - "currently affect the values used in function calls", 1); - Py_INCREF(value); - __Pyx_Py_XDECREF_SET(op->defaults_kwdict, value); - return 0; -} -static PyObject * -__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, void *context) { - PyObject* result = op->defaults_kwdict; - CYTHON_UNUSED_VAR(context); - if (unlikely(!result)) { - if (op->defaults_getter) { - if (unlikely(__Pyx_CyFunction_init_defaults(op) < 0)) return NULL; - result = op->defaults_kwdict; - } else { - result = Py_None; - } - } - Py_INCREF(result); - return result; -} -static int -__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, void *context) { - CYTHON_UNUSED_VAR(context); - if (!value || value == Py_None) { - value = NULL; - } else if (unlikely(!PyDict_Check(value))) { - PyErr_SetString(PyExc_TypeError, - "__annotations__ must be set to a dict object"); 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-} -static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg) -{ - Py_VISIT(m->func_closure); -#if CYTHON_COMPILING_IN_LIMITED_API - Py_VISIT(m->func); -#else - Py_VISIT(((PyCFunctionObject*)m)->m_module); -#endif - Py_VISIT(m->func_dict); - Py_VISIT(m->func_name); - Py_VISIT(m->func_qualname); - Py_VISIT(m->func_doc); - Py_VISIT(m->func_globals); - Py_VISIT(m->func_code); -#if !CYTHON_COMPILING_IN_LIMITED_API - Py_VISIT(__Pyx_CyFunction_GetClassObj(m)); -#endif - Py_VISIT(m->defaults_tuple); - Py_VISIT(m->defaults_kwdict); - Py_VISIT(m->func_is_coroutine); - if (m->defaults) { - PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m); - int i; - for (i = 0; i < m->defaults_pyobjects; i++) - Py_VISIT(pydefaults[i]); - } - return 0; -} -static PyObject* -__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op) -{ -#if PY_MAJOR_VERSION >= 3 - return PyUnicode_FromFormat("", - op->func_qualname, (void *)op); -#else - return PyString_FromFormat("", - PyString_AsString(op->func_qualname), (void *)op); 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- } -} -static PyCodeObject *__pyx_find_code_object(int code_line) { - PyCodeObject* code_object; - int pos; - if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) { - return NULL; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) { - return NULL; - } - code_object = __pyx_code_cache.entries[pos].code_object; - Py_INCREF(code_object); - return code_object; -} -static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) { - int pos, i; - __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries; - if (unlikely(!code_line)) { - return; - } - if (unlikely(!entries)) { - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry)); - if (likely(entries)) { - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = 64; - __pyx_code_cache.count = 1; - entries[0].code_line = code_line; - entries[0].code_object = code_object; - Py_INCREF(code_object); - } - return; - } - pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line); - if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) { - PyCodeObject* tmp = entries[pos].code_object; - entries[pos].code_object = code_object; - Py_DECREF(tmp); - return; - } - if (__pyx_code_cache.count == __pyx_code_cache.max_count) { - int new_max = __pyx_code_cache.max_count + 64; - entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc( - __pyx_code_cache.entries, ((size_t)new_max) * sizeof(__Pyx_CodeObjectCacheEntry)); - if (unlikely(!entries)) { - return; - } - __pyx_code_cache.entries = entries; - __pyx_code_cache.max_count = new_max; - } - for (i=__pyx_code_cache.count; i>pos; i--) { - entries[i] = entries[i-1]; - } - entries[pos].code_line = code_line; - entries[pos].code_object = code_object; - __pyx_code_cache.count++; - Py_INCREF(code_object); -} -#endif - -/* AddTraceback */ - #include "compile.h" -#include "frameobject.h" -#include "traceback.h" -#if PY_VERSION_HEX >= 0x030b00a6 && !CYTHON_COMPILING_IN_LIMITED_API - #ifndef Py_BUILD_CORE - #define Py_BUILD_CORE 1 - #endif - #include "internal/pycore_frame.h" -#endif -#if CYTHON_COMPILING_IN_LIMITED_API -static PyObject *__Pyx_PyCode_Replace_For_AddTraceback(PyObject *code, PyObject *scratch_dict, - PyObject *firstlineno, PyObject *name) { - PyObject *replace = NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "co_firstlineno", firstlineno))) return NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "co_name", name))) return NULL; - replace = PyObject_GetAttrString(code, "replace"); - if (likely(replace)) { - PyObject *result; - result = PyObject_Call(replace, __pyx_empty_tuple, scratch_dict); - Py_DECREF(replace); - return result; - } - PyErr_Clear(); - #if __PYX_LIMITED_VERSION_HEX < 0x030780000 - { - PyObject *compiled = NULL, *result = NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "code", code))) return NULL; - if (unlikely(PyDict_SetItemString(scratch_dict, "type", (PyObject*)(&PyType_Type)))) return NULL; - compiled = Py_CompileString( - "out = type(code)(\n" - " code.co_argcount, code.co_kwonlyargcount, code.co_nlocals, code.co_stacksize,\n" - " code.co_flags, code.co_code, code.co_consts, code.co_names,\n" - " code.co_varnames, code.co_filename, co_name, co_firstlineno,\n" - " code.co_lnotab)\n", "", Py_file_input); - if (!compiled) return NULL; - result = PyEval_EvalCode(compiled, scratch_dict, scratch_dict); - Py_DECREF(compiled); - if (!result) PyErr_Print(); - Py_DECREF(result); - result = PyDict_GetItemString(scratch_dict, "out"); - if (result) Py_INCREF(result); - return result; - } - #else - return NULL; - #endif -} -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - PyObject *code_object = NULL, *py_py_line = NULL, *py_funcname = NULL, *dict = NULL; - PyObject *replace = NULL, *getframe = NULL, *frame = NULL; - PyObject *exc_type, *exc_value, *exc_traceback; - int success = 0; - if (c_line) { - (void) __pyx_cfilenm; - (void) __Pyx_CLineForTraceback(__Pyx_PyThreadState_Current, c_line); - } - PyErr_Fetch(&exc_type, &exc_value, &exc_traceback); - code_object = Py_CompileString("_getframe()", filename, Py_eval_input); - if (unlikely(!code_object)) goto bad; - py_py_line = PyLong_FromLong(py_line); - if (unlikely(!py_py_line)) goto bad; - py_funcname = PyUnicode_FromString(funcname); - if (unlikely(!py_funcname)) goto bad; - dict = PyDict_New(); - if (unlikely(!dict)) goto bad; - { - PyObject *old_code_object = code_object; - code_object = __Pyx_PyCode_Replace_For_AddTraceback(code_object, dict, py_py_line, py_funcname); - Py_DECREF(old_code_object); - } - if (unlikely(!code_object)) goto bad; - getframe = PySys_GetObject("_getframe"); - if (unlikely(!getframe)) goto bad; - if (unlikely(PyDict_SetItemString(dict, "_getframe", getframe))) goto bad; - frame = PyEval_EvalCode(code_object, dict, dict); - if (unlikely(!frame) || frame == Py_None) goto bad; - success = 1; - bad: - PyErr_Restore(exc_type, exc_value, exc_traceback); - Py_XDECREF(code_object); - Py_XDECREF(py_py_line); - Py_XDECREF(py_funcname); - Py_XDECREF(dict); - Py_XDECREF(replace); - if (success) { - PyTraceBack_Here( - (struct _frame*)frame); - } - Py_XDECREF(frame); -} -#else -static PyCodeObject* __Pyx_CreateCodeObjectForTraceback( - const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = NULL; - PyObject *py_funcname = NULL; - #if PY_MAJOR_VERSION < 3 - PyObject *py_srcfile = NULL; - py_srcfile = PyString_FromString(filename); - if (!py_srcfile) goto bad; - #endif - if (c_line) { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - if (!py_funcname) goto bad; - #else - py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line); - if (!py_funcname) goto bad; - funcname = PyUnicode_AsUTF8(py_funcname); - if (!funcname) goto bad; - #endif - } - else { - #if PY_MAJOR_VERSION < 3 - py_funcname = PyString_FromString(funcname); - if (!py_funcname) goto bad; - #endif - } - #if PY_MAJOR_VERSION < 3 - py_code = __Pyx_PyCode_New( - 0, - 0, - 0, - 0, - 0, - 0, - __pyx_empty_bytes, /*PyObject *code,*/ - __pyx_empty_tuple, /*PyObject *consts,*/ - __pyx_empty_tuple, /*PyObject *names,*/ - __pyx_empty_tuple, /*PyObject *varnames,*/ - __pyx_empty_tuple, /*PyObject *freevars,*/ - __pyx_empty_tuple, /*PyObject *cellvars,*/ - py_srcfile, /*PyObject *filename,*/ - py_funcname, /*PyObject *name,*/ - py_line, - __pyx_empty_bytes /*PyObject *lnotab*/ - ); - Py_DECREF(py_srcfile); - #else - py_code = PyCode_NewEmpty(filename, funcname, py_line); - #endif - Py_XDECREF(py_funcname); - return py_code; -bad: - Py_XDECREF(py_funcname); - #if PY_MAJOR_VERSION < 3 - Py_XDECREF(py_srcfile); - #endif - return NULL; -} -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename) { - PyCodeObject *py_code = 0; - PyFrameObject *py_frame = 0; - PyThreadState *tstate = __Pyx_PyThreadState_Current; - PyObject *ptype, *pvalue, *ptraceback; - if (c_line) { - c_line = __Pyx_CLineForTraceback(tstate, c_line); - } - py_code = __pyx_find_code_object(c_line ? -c_line : py_line); - if (!py_code) { - __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback); - py_code = __Pyx_CreateCodeObjectForTraceback( - funcname, c_line, py_line, filename); - if (!py_code) { - /* If the code object creation fails, then we should clear the - fetched exception references and propagate the new exception */ - Py_XDECREF(ptype); - Py_XDECREF(pvalue); - Py_XDECREF(ptraceback); - goto bad; - } - __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback); - __pyx_insert_code_object(c_line ? -c_line : py_line, py_code); - } - py_frame = PyFrame_New( - tstate, /*PyThreadState *tstate,*/ - py_code, /*PyCodeObject *code,*/ - __pyx_d, /*PyObject *globals,*/ - 0 /*PyObject *locals*/ - ); - if (!py_frame) goto bad; - __Pyx_PyFrame_SetLineNumber(py_frame, py_line); - PyTraceBack_Here(py_frame); -bad: - Py_XDECREF(py_code); - Py_XDECREF(py_frame); -} -#endif - -#if PY_MAJOR_VERSION < 3 -static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) { - __Pyx_TypeName obj_type_name; - if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags); - obj_type_name = __Pyx_PyType_GetName(Py_TYPE(obj)); - PyErr_Format(PyExc_TypeError, - "'" __Pyx_FMT_TYPENAME "' does not have the buffer interface", - obj_type_name); - __Pyx_DECREF_TypeName(obj_type_name); - return -1; -} -static void __Pyx_ReleaseBuffer(Py_buffer *view) { - PyObject *obj = view->obj; - if (!obj) return; - if (PyObject_CheckBuffer(obj)) { - PyBuffer_Release(view); - return; - } - if ((0)) {} - view->obj = NULL; - Py_DECREF(obj); -} -#endif - - - /* CIntFromPyVerify */ - #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0) -#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\ - __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1) -#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\ - {\ - func_type value = func_value;\ - if (sizeof(target_type) < sizeof(func_type)) {\ - if (unlikely(value != (func_type) (target_type) value)) {\ - func_type zero = 0;\ - if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\ - return (target_type) -1;\ - if (is_unsigned && unlikely(value < zero))\ - goto raise_neg_overflow;\ - else\ - goto raise_overflow;\ - }\ - }\ - return (target_type) value;\ - } - -/* Declarations */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #ifdef __cplusplus - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - return ::std::complex< float >(x, y); - } - #else - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - return x + y*(__pyx_t_float_complex)_Complex_I; - } - #endif -#else - static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) { - __pyx_t_float_complex z; - z.real = x; - z.imag = y; - return z; - } -#endif - -/* Arithmetic */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) -#else - static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - return (a.real == b.real) && (a.imag == b.imag); - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real + b.real; - z.imag = a.imag + b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real - b.real; - z.imag = a.imag - b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - z.real = a.real * b.real - a.imag * b.imag; - z.imag = a.real * b.imag + a.imag * b.real; - return z; - } - #if 1 - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - if (b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); - } else if (fabsf(b.real) >= fabsf(b.imag)) { - if (b.real == 0 && b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag); - } else { - float r = b.imag / b.real; - float s = (float)(1.0) / (b.real + b.imag * r); - return __pyx_t_float_complex_from_parts( - (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); - } - } else { - float r = b.real / b.imag; - float s = (float)(1.0) / (b.imag + b.real * r); - return __pyx_t_float_complex_from_parts( - (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); - } - } - #else - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - if (b.imag == 0) { - return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real); - } else { - float denom = b.real * b.real + b.imag * b.imag; - return __pyx_t_float_complex_from_parts( - (a.real * b.real + a.imag * b.imag) / denom, - (a.imag * b.real - a.real * b.imag) / denom); - } - } - #endif - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) { - __pyx_t_float_complex z; - z.real = -a.real; - z.imag = -a.imag; - return z; - } - static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) { - return (a.real == 0) && (a.imag == 0); - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) { - __pyx_t_float_complex z; - z.real = a.real; - z.imag = -a.imag; - return z; - } - #if 1 - static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) { - #if !defined(HAVE_HYPOT) || defined(_MSC_VER) - return sqrtf(z.real*z.real + z.imag*z.imag); - #else - return hypotf(z.real, z.imag); - #endif - } - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) { - __pyx_t_float_complex z; - float r, lnr, theta, z_r, z_theta; - if (b.imag == 0 && b.real == (int)b.real) { - if (b.real < 0) { - float denom = a.real * a.real + a.imag * a.imag; - a.real = a.real / denom; - a.imag = -a.imag / denom; - b.real = -b.real; - } - switch ((int)b.real) { - case 0: - z.real = 1; - z.imag = 0; - return z; - case 1: - return a; - case 2: - return __Pyx_c_prod_float(a, a); - case 3: - z = __Pyx_c_prod_float(a, a); - return __Pyx_c_prod_float(z, a); - case 4: - z = __Pyx_c_prod_float(a, a); - return __Pyx_c_prod_float(z, z); - } - } - if (a.imag == 0) { - if (a.real == 0) { - return a; - } else if ((b.imag == 0) && (a.real >= 0)) { - z.real = powf(a.real, b.real); - z.imag = 0; - return z; - } else if (a.real > 0) { - r = a.real; - theta = 0; - } else { - r = -a.real; - theta = atan2f(0.0, -1.0); - } - } else { - r = __Pyx_c_abs_float(a); - theta = atan2f(a.imag, a.real); - } - lnr = logf(r); - z_r = expf(lnr * b.real - theta * b.imag); - z_theta = theta * b.real + lnr * b.imag; - z.real = z_r * cosf(z_theta); - z.imag = z_r * sinf(z_theta); - return z; - } - #endif -#endif - -/* Declarations */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #ifdef __cplusplus - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - return ::std::complex< double >(x, y); - } - #else - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - return x + y*(__pyx_t_double_complex)_Complex_I; - } - #endif -#else - static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) { - __pyx_t_double_complex z; - z.real = x; - z.imag = y; - return z; - } -#endif - -/* Arithmetic */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) -#else - static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - return (a.real == b.real) && (a.imag == b.imag); - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real + b.real; - z.imag = a.imag + b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real - b.real; - z.imag = a.imag - b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - z.real = a.real * b.real - a.imag * b.imag; - z.imag = a.real * b.imag + a.imag * b.real; - return z; - } - #if 1 - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - if (b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else if (fabs(b.real) >= fabs(b.imag)) { - if (b.real == 0 && b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag); - } else { - double r = b.imag / b.real; - double s = (double)(1.0) / (b.real + b.imag * r); - return __pyx_t_double_complex_from_parts( - (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); - } - } else { - double r = b.real / b.imag; - double s = (double)(1.0) / (b.imag + b.real * r); - return __pyx_t_double_complex_from_parts( - (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); - } - } - #else - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - if (b.imag == 0) { - return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else { - double denom = b.real * b.real + b.imag * b.imag; - return __pyx_t_double_complex_from_parts( - (a.real * b.real + a.imag * b.imag) / denom, - (a.imag * b.real - a.real * b.imag) / denom); - } - } - #endif - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) { - __pyx_t_double_complex z; - z.real = -a.real; - z.imag = -a.imag; - return z; - } - static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) { - return (a.real == 0) && (a.imag == 0); - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) { - __pyx_t_double_complex z; - z.real = a.real; - z.imag = -a.imag; - return z; - } - #if 1 - static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) { - #if !defined(HAVE_HYPOT) || defined(_MSC_VER) - return sqrt(z.real*z.real + z.imag*z.imag); - #else - return hypot(z.real, z.imag); - #endif - } - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) { - __pyx_t_double_complex z; - double r, lnr, theta, z_r, z_theta; - if (b.imag == 0 && b.real == (int)b.real) { - if (b.real < 0) { - double denom = a.real * a.real + a.imag * a.imag; - a.real = a.real / denom; - a.imag = -a.imag / denom; - b.real = -b.real; - } - switch ((int)b.real) { - case 0: - z.real = 1; - z.imag = 0; - return z; - case 1: - return a; - case 2: - return __Pyx_c_prod_double(a, a); - case 3: - z = __Pyx_c_prod_double(a, a); - return __Pyx_c_prod_double(z, a); - case 4: - z = __Pyx_c_prod_double(a, a); - return __Pyx_c_prod_double(z, z); - } - } - if (a.imag == 0) { - if (a.real == 0) { - return a; - } else if ((b.imag == 0) && (a.real >= 0)) { - z.real = pow(a.real, b.real); - z.imag = 0; - return z; - } else if (a.real > 0) { - r = a.real; - theta = 0; - } else { - r = -a.real; - theta = atan2(0.0, -1.0); - } - } else { - r = __Pyx_c_abs_double(a); - theta = atan2(a.imag, a.real); - } - lnr = log(r); - z_r = exp(lnr * b.real - theta * b.imag); - z_theta = theta * b.real + lnr * b.imag; - z.real = z_r * cos(z_theta); - z.imag = z_r * sin(z_theta); - return z; - } - #endif -#endif - -/* Declarations */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #ifdef __cplusplus - static CYTHON_INLINE __pyx_t_long_double_complex __pyx_t_long_double_complex_from_parts(long double x, long double y) { - return ::std::complex< long double >(x, y); - } - #else - static CYTHON_INLINE __pyx_t_long_double_complex __pyx_t_long_double_complex_from_parts(long double x, long double y) { - return x + y*(__pyx_t_long_double_complex)_Complex_I; - } - #endif -#else - static CYTHON_INLINE __pyx_t_long_double_complex __pyx_t_long_double_complex_from_parts(long double x, long double y) { - __pyx_t_long_double_complex z; - z.real = x; - z.imag = y; - return z; - } -#endif - -/* Arithmetic */ - #if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) -#else - static CYTHON_INLINE int __Pyx_c_eq_long__double(__pyx_t_long_double_complex a, __pyx_t_long_double_complex b) { - return (a.real == b.real) && (a.imag == b.imag); - } - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_sum_long__double(__pyx_t_long_double_complex a, __pyx_t_long_double_complex b) { - __pyx_t_long_double_complex z; - z.real = a.real + b.real; - z.imag = a.imag + b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_diff_long__double(__pyx_t_long_double_complex a, __pyx_t_long_double_complex b) { - __pyx_t_long_double_complex z; - z.real = a.real - b.real; - z.imag = a.imag - b.imag; - return z; - } - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_prod_long__double(__pyx_t_long_double_complex a, __pyx_t_long_double_complex b) { - __pyx_t_long_double_complex z; - z.real = a.real * b.real - a.imag * b.imag; - z.imag = a.real * b.imag + a.imag * b.real; - return z; - } - #if 1 - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_quot_long__double(__pyx_t_long_double_complex a, __pyx_t_long_double_complex b) { - if (b.imag == 0) { - return __pyx_t_long_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else if (fabsl(b.real) >= fabsl(b.imag)) { - if (b.real == 0 && b.imag == 0) { - return __pyx_t_long_double_complex_from_parts(a.real / b.real, a.imag / b.imag); - } else { - long double r = b.imag / b.real; - long double s = (long double)(1.0) / (b.real + b.imag * r); - return __pyx_t_long_double_complex_from_parts( - (a.real + a.imag * r) * s, (a.imag - a.real * r) * s); - } - } else { - long double r = b.real / b.imag; - long double s = (long double)(1.0) / (b.imag + b.real * r); - return __pyx_t_long_double_complex_from_parts( - (a.real * r + a.imag) * s, (a.imag * r - a.real) * s); - } - } - #else - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_quot_long__double(__pyx_t_long_double_complex a, __pyx_t_long_double_complex b) { - if (b.imag == 0) { - return __pyx_t_long_double_complex_from_parts(a.real / b.real, a.imag / b.real); - } else { - long double denom = b.real * b.real + b.imag * b.imag; - return __pyx_t_long_double_complex_from_parts( - (a.real * b.real + a.imag * b.imag) / denom, - (a.imag * b.real - a.real * b.imag) / denom); - } - } - #endif - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_neg_long__double(__pyx_t_long_double_complex a) { - __pyx_t_long_double_complex z; - z.real = -a.real; - z.imag = -a.imag; - return z; - } - static CYTHON_INLINE int __Pyx_c_is_zero_long__double(__pyx_t_long_double_complex a) { - return (a.real == 0) && (a.imag == 0); - } - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_conj_long__double(__pyx_t_long_double_complex a) { - __pyx_t_long_double_complex z; - z.real = a.real; - z.imag = -a.imag; - return z; - } - #if 1 - static CYTHON_INLINE long double __Pyx_c_abs_long__double(__pyx_t_long_double_complex z) { - #if !defined(HAVE_HYPOT) || defined(_MSC_VER) - return sqrtl(z.real*z.real + z.imag*z.imag); - #else - return hypotl(z.real, z.imag); - #endif - } - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_pow_long__double(__pyx_t_long_double_complex a, __pyx_t_long_double_complex b) { - __pyx_t_long_double_complex z; - long double r, lnr, theta, z_r, z_theta; - if (b.imag == 0 && b.real == (int)b.real) { - if (b.real < 0) { - long double denom = a.real * a.real + a.imag * a.imag; - a.real = a.real / denom; - a.imag = -a.imag / denom; - b.real = -b.real; - } - switch ((int)b.real) { - case 0: - z.real = 1; - z.imag = 0; - return z; - case 1: - return a; - case 2: - return __Pyx_c_prod_long__double(a, a); - case 3: - z = __Pyx_c_prod_long__double(a, a); - return __Pyx_c_prod_long__double(z, a); - case 4: - z = __Pyx_c_prod_long__double(a, a); - return __Pyx_c_prod_long__double(z, z); - } - } - if (a.imag == 0) { - if (a.real == 0) { - return a; - } else if ((b.imag == 0) && (a.real >= 0)) { - z.real = powl(a.real, b.real); - z.imag = 0; - return z; - } else if (a.real > 0) { - r = a.real; - theta = 0; - } else { - r = -a.real; - theta = atan2l(0.0, -1.0); - } - } else { - r = __Pyx_c_abs_long__double(a); - theta = atan2l(a.imag, a.real); - } - lnr = logl(r); - z_r = expl(lnr * b.real - theta * b.imag); - z_theta = theta * b.real + lnr * b.imag; - z.real = z_r * cosl(z_theta); - z.imag = z_r * sinl(z_theta); - return z; - } - #endif -#endif - -/* CIntFromPy */ - static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const int neg_one = (int) -1, const_zero = (int) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if ((sizeof(int) < sizeof(long))) { - __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (int) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 2 * PyLong_SHIFT)) { - return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 3 * PyLong_SHIFT)) { - return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) >= 4 * PyLong_SHIFT)) { - return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])); - } - } - break; - } - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (int) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if ((sizeof(int) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(int) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(int, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(int) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(int) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(int) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(int) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(int) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { - return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(int) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(int) - 1 > 4 * PyLong_SHIFT)) { - return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]))); - } - } - break; - } - } -#endif - if ((sizeof(int) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(int) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { - int val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); -#if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } -#endif - if (likely(v)) { - int ret = -1; -#if PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); -#else - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - long idigit; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (unlikely(!PyLong_CheckExact(v))) { - PyObject *tmp = v; - v = PyNumber_Long(v); - assert(PyLong_CheckExact(v)); - Py_DECREF(tmp); - if (unlikely(!v)) return (int) -1; - } -#if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(x) == 0) - return (int) 0; - is_negative = Py_SIZE(x) < 0; -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (int) -1; - is_negative = result == 1; - } -#endif - if (is_unsigned && unlikely(is_negative)) { - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - if (unlikely(!stepval)) - return (int) -1; - } else { - stepval = __Pyx_NewRef(v); - } - val = (int) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(int) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - val |= ((int) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(stepval) == 0) - goto unpacking_done; - #endif - } - idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(int) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((int) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - unpacking_done: - #endif - if (!is_unsigned) { - if (unlikely(val & (((int) 1) << (sizeof(int) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); -#endif - Py_DECREF(v); - if (likely(!ret)) - return val; - } - return (int) -1; - } - } else { - int val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (int) -1; - val = __Pyx_PyInt_As_int(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to int"); - return (int) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to int"); - return (int) -1; -} - -/* FormatTypeName */ - #if CYTHON_COMPILING_IN_LIMITED_API -static __Pyx_TypeName -__Pyx_PyType_GetName(PyTypeObject* tp) -{ - PyObject *name = __Pyx_PyObject_GetAttrStr((PyObject *)tp, - __pyx_n_s_name); - if (unlikely(name == NULL) || unlikely(!PyUnicode_Check(name))) { - PyErr_Clear(); - Py_XDECREF(name); - name = __Pyx_NewRef(__pyx_n_s__14); - } - return name; -} -#endif - -/* CIntToPy */ - static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const long neg_one = (long) -1, const_zero = (long) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; - if (is_unsigned) { - if (sizeof(long) < sizeof(long)) { - return PyInt_FromLong((long) value); - } else if (sizeof(long) <= sizeof(unsigned long)) { - return PyLong_FromUnsignedLong((unsigned long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) { - return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); -#endif - } - } else { - if (sizeof(long) <= sizeof(long)) { - return PyInt_FromLong((long) value); -#ifdef HAVE_LONG_LONG - } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) { - return PyLong_FromLongLong((PY_LONG_LONG) value); -#endif - } - } - { - int one = 1; int little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&value; -#if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030d0000 - return _PyLong_FromByteArray(bytes, sizeof(long), - little, !is_unsigned); -#else - PyObject *from_bytes, *result = NULL; - PyObject *py_bytes = NULL, *arg_tuple = NULL, *kwds = NULL, *order_str = NULL; - from_bytes = PyObject_GetAttrString((PyObject*)&PyLong_Type, "from_bytes"); - if (!from_bytes) return NULL; - py_bytes = PyBytes_FromStringAndSize((char*)bytes, sizeof(long)); - if (!py_bytes) goto limited_bad; - order_str = PyUnicode_FromString(little ? "little" : "big"); - if (!order_str) goto limited_bad; - arg_tuple = PyTuple_Pack(2, py_bytes, order_str); - if (!arg_tuple) goto limited_bad; - if (!is_unsigned) { - kwds = PyDict_New(); - if (!kwds) goto limited_bad; - if (PyDict_SetItemString(kwds, "signed", __Pyx_NewRef(Py_True))) goto limited_bad; - } - result = PyObject_Call(from_bytes, arg_tuple, kwds); - limited_bad: - Py_XDECREF(kwds); - Py_XDECREF(arg_tuple); - Py_XDECREF(order_str); - Py_XDECREF(py_bytes); - Py_XDECREF(from_bytes); - return result; -#endif - } -} - -/* CIntFromPy */ - static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) { -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic push -#pragma GCC diagnostic ignored "-Wconversion" -#endif - const long neg_one = (long) -1, const_zero = (long) 0; -#ifdef __Pyx_HAS_GCC_DIAGNOSTIC -#pragma GCC diagnostic pop -#endif - const int is_unsigned = neg_one > const_zero; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x))) { - if ((sizeof(long) < sizeof(long))) { - __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x)) - } else { - long val = PyInt_AS_LONG(x); - if (is_unsigned && unlikely(val < 0)) { - goto raise_neg_overflow; - } - return (long) val; - } - } else -#endif - if (likely(PyLong_Check(x))) { - if (is_unsigned) { -#if CYTHON_USE_PYLONG_INTERNALS - if (unlikely(__Pyx_PyLong_IsNeg(x))) { - goto raise_neg_overflow; - } else if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_DigitCount(x)) { - case 2: - if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 2 * PyLong_SHIFT)) { - return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 3: - if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 3 * PyLong_SHIFT)) { - return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - case 4: - if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) >= 4 * PyLong_SHIFT)) { - return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])); - } - } - break; - } - } -#endif -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 - if (unlikely(Py_SIZE(x) < 0)) { - goto raise_neg_overflow; - } -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (long) -1; - if (unlikely(result == 1)) - goto raise_neg_overflow; - } -#endif - if ((sizeof(long) <= sizeof(unsigned long))) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(long) <= sizeof(unsigned PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) -#endif - } - } else { -#if CYTHON_USE_PYLONG_INTERNALS - if (__Pyx_PyLong_IsCompact(x)) { - __PYX_VERIFY_RETURN_INT(long, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) - } else { - const digit* digits = __Pyx_PyLong_Digits(x); - assert(__Pyx_PyLong_DigitCount(x) > 1); - switch (__Pyx_PyLong_SignedDigitCount(x)) { - case -2: - if ((8 * sizeof(long) - 1 > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 2: - if ((8 * sizeof(long) > 1 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -3: - if ((8 * sizeof(long) - 1 > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 3: - if ((8 * sizeof(long) > 2 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case -4: - if ((8 * sizeof(long) - 1 > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { - return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - case 4: - if ((8 * sizeof(long) > 3 * PyLong_SHIFT)) { - if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { - __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) - } else if ((8 * sizeof(long) - 1 > 4 * PyLong_SHIFT)) { - return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]))); - } - } - break; - } - } -#endif - if ((sizeof(long) <= sizeof(long))) { - __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x)) -#ifdef HAVE_LONG_LONG - } else if ((sizeof(long) <= sizeof(PY_LONG_LONG))) { - __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x)) -#endif - } - } - { - long val; - PyObject *v = __Pyx_PyNumber_IntOrLong(x); -#if PY_MAJOR_VERSION < 3 - if (likely(v) && !PyLong_Check(v)) { - PyObject *tmp = v; - v = PyNumber_Long(tmp); - Py_DECREF(tmp); - } -#endif - if (likely(v)) { - int ret = -1; -#if PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) - int one = 1; int is_little = (int)*(unsigned char *)&one; - unsigned char *bytes = (unsigned char *)&val; - ret = _PyLong_AsByteArray((PyLongObject *)v, - bytes, sizeof(val), - is_little, !is_unsigned); -#else - PyObject *stepval = NULL, *mask = NULL, *shift = NULL; - int bits, remaining_bits, is_negative = 0; - long idigit; - int chunk_size = (sizeof(long) < 8) ? 30 : 62; - if (unlikely(!PyLong_CheckExact(v))) { - PyObject *tmp = v; - v = PyNumber_Long(v); - assert(PyLong_CheckExact(v)); - Py_DECREF(tmp); - if (unlikely(!v)) return (long) -1; - } -#if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(x) == 0) - return (long) 0; - is_negative = Py_SIZE(x) < 0; -#else - { - int result = PyObject_RichCompareBool(x, Py_False, Py_LT); - if (unlikely(result < 0)) - return (long) -1; - is_negative = result == 1; - } -#endif - if (is_unsigned && unlikely(is_negative)) { - goto raise_neg_overflow; - } else if (is_negative) { - stepval = PyNumber_Invert(v); - if (unlikely(!stepval)) - return (long) -1; - } else { - stepval = __Pyx_NewRef(v); - } - val = (long) 0; - mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; - shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; - for (bits = 0; bits < (int) sizeof(long) * 8 - chunk_size; bits += chunk_size) { - PyObject *tmp, *digit; - digit = PyNumber_And(stepval, mask); - if (unlikely(!digit)) goto done; - idigit = PyLong_AsLong(digit); - Py_DECREF(digit); - if (unlikely(idigit < 0)) goto done; - tmp = PyNumber_Rshift(stepval, shift); - if (unlikely(!tmp)) goto done; - Py_DECREF(stepval); stepval = tmp; - val |= ((long) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - if (Py_SIZE(stepval) == 0) - goto unpacking_done; - #endif - } - idigit = PyLong_AsLong(stepval); - if (unlikely(idigit < 0)) goto done; - remaining_bits = ((int) sizeof(long) * 8) - bits - (is_unsigned ? 0 : 1); - if (unlikely(idigit >= (1L << remaining_bits))) - goto raise_overflow; - val |= ((long) idigit) << bits; - #if CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030B0000 - unpacking_done: - #endif - if (!is_unsigned) { - if (unlikely(val & (((long) 1) << (sizeof(long) * 8 - 1)))) - goto raise_overflow; - if (is_negative) - val = ~val; - } - ret = 0; - done: - Py_XDECREF(shift); - Py_XDECREF(mask); - Py_XDECREF(stepval); -#endif - Py_DECREF(v); - if (likely(!ret)) - return val; - } - return (long) -1; - } - } else { - long val; - PyObject *tmp = __Pyx_PyNumber_IntOrLong(x); - if (!tmp) return (long) -1; - val = __Pyx_PyInt_As_long(tmp); - Py_DECREF(tmp); - return val; - } -raise_overflow: - PyErr_SetString(PyExc_OverflowError, - "value too large to convert to long"); - return (long) -1; -raise_neg_overflow: - PyErr_SetString(PyExc_OverflowError, - "can't convert negative value to long"); - return (long) -1; -} - -/* FastTypeChecks */ - #if CYTHON_COMPILING_IN_CPYTHON -static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) { - while (a) { - a = __Pyx_PyType_GetSlot(a, tp_base, PyTypeObject*); - if (a == b) - return 1; - } - return b == &PyBaseObject_Type; -} -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (a == b) return 1; - mro = a->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(a, b); -} -static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b) { - PyObject *mro; - if (cls == a || cls == b) return 1; - mro = cls->tp_mro; - if (likely(mro)) { - Py_ssize_t i, n; - n = PyTuple_GET_SIZE(mro); - for (i = 0; i < n; i++) { - PyObject *base = PyTuple_GET_ITEM(mro, i); - if (base == (PyObject *)a || base == (PyObject *)b) - return 1; - } - return 0; - } - return __Pyx_InBases(cls, a) || __Pyx_InBases(cls, b); -} -#if PY_MAJOR_VERSION == 2 -static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) { - PyObject *exception, *value, *tb; - int res; - __Pyx_PyThreadState_declare - __Pyx_PyThreadState_assign - __Pyx_ErrFetch(&exception, &value, &tb); - res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0; - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - if (!res) { - res = PyObject_IsSubclass(err, exc_type2); - if (unlikely(res == -1)) { - PyErr_WriteUnraisable(err); - res = 0; - } - } - __Pyx_ErrRestore(exception, value, tb); - return res; -} -#else -static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) { - if (exc_type1) { - return __Pyx_IsAnySubtype2((PyTypeObject*)err, (PyTypeObject*)exc_type1, (PyTypeObject*)exc_type2); - } else { - return __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2); - } -} -#endif -static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) { - Py_ssize_t i, n; - assert(PyExceptionClass_Check(exc_type)); - n = PyTuple_GET_SIZE(tuple); -#if PY_MAJOR_VERSION >= 3 - for (i=0; i= 0x030B00A4 - return Py_Version & ~0xFFUL; -#else - const char* rt_version = Py_GetVersion(); - unsigned long version = 0; - unsigned long factor = 0x01000000UL; - unsigned int digit = 0; - int i = 0; - while (factor) { - while ('0' <= rt_version[i] && rt_version[i] <= '9') { - digit = digit * 10 + (unsigned int) (rt_version[i] - '0'); - ++i; - } - version += factor * digit; - if (rt_version[i] != '.') - break; - digit = 0; - factor >>= 8; - ++i; - } - return version; -#endif -} -static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer) { - const unsigned long MAJOR_MINOR = 0xFFFF0000UL; - if ((rt_version & MAJOR_MINOR) == (ct_version & MAJOR_MINOR)) - return 0; - if (likely(allow_newer && (rt_version & MAJOR_MINOR) > (ct_version & MAJOR_MINOR))) - return 1; - { - char message[200]; - PyOS_snprintf(message, sizeof(message), - "compile time Python version %d.%d " - "of module '%.100s' " - "%s " - "runtime version %d.%d", - (int) (ct_version >> 24), (int) ((ct_version >> 16) & 0xFF), - __Pyx_MODULE_NAME, - (allow_newer) ? "was newer than" : "does not match", - (int) (rt_version >> 24), (int) ((rt_version >> 16) & 0xFF) - ); - return PyErr_WarnEx(NULL, message, 1); - } -} - -/* InitStrings */ - #if PY_MAJOR_VERSION >= 3 -static int __Pyx_InitString(__Pyx_StringTabEntry t, PyObject **str) { - if (t.is_unicode | t.is_str) { - if (t.intern) { - *str = PyUnicode_InternFromString(t.s); - } else if (t.encoding) { - *str = PyUnicode_Decode(t.s, t.n - 1, t.encoding, NULL); - } else { - *str = PyUnicode_FromStringAndSize(t.s, t.n - 1); - } - } else { - *str = PyBytes_FromStringAndSize(t.s, t.n - 1); - } - if (!*str) - return -1; - if (PyObject_Hash(*str) == -1) - return -1; - return 0; -} -#endif -static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) { - while (t->p) { - #if PY_MAJOR_VERSION >= 3 - __Pyx_InitString(*t, t->p); - #else - if (t->is_unicode) { - *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL); - } else if (t->intern) { - *t->p = PyString_InternFromString(t->s); - } else { - *t->p = PyString_FromStringAndSize(t->s, t->n - 1); - } - if (!*t->p) - return -1; - if (PyObject_Hash(*t->p) == -1) - return -1; - #endif - ++t; - } - return 0; -} - -#include -static CYTHON_INLINE Py_ssize_t __Pyx_ssize_strlen(const char *s) { - size_t len = strlen(s); - if (unlikely(len > (size_t) PY_SSIZE_T_MAX)) { - PyErr_SetString(PyExc_OverflowError, "byte string is too long"); - return -1; - } - return (Py_ssize_t) len; -} -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) { - Py_ssize_t len = __Pyx_ssize_strlen(c_str); - if (unlikely(len < 0)) return NULL; - return __Pyx_PyUnicode_FromStringAndSize(c_str, len); -} -static CYTHON_INLINE PyObject* __Pyx_PyByteArray_FromString(const char* c_str) { - Py_ssize_t len = __Pyx_ssize_strlen(c_str); - if (unlikely(len < 0)) return NULL; - return PyByteArray_FromStringAndSize(c_str, len); -} -static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) { - Py_ssize_t ignore; - return __Pyx_PyObject_AsStringAndSize(o, &ignore); -} -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT -#if !CYTHON_PEP393_ENABLED -static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - char* defenc_c; - PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL); - if (!defenc) return NULL; - defenc_c = PyBytes_AS_STRING(defenc); -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - { - char* end = defenc_c + PyBytes_GET_SIZE(defenc); - char* c; - for (c = defenc_c; c < end; c++) { - if ((unsigned char) (*c) >= 128) { - PyUnicode_AsASCIIString(o); - return NULL; - } - } - } -#endif - *length = PyBytes_GET_SIZE(defenc); - return defenc_c; -} -#else -static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) { - if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL; -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - if (likely(PyUnicode_IS_ASCII(o))) { - *length = PyUnicode_GET_LENGTH(o); - return PyUnicode_AsUTF8(o); - } else { - PyUnicode_AsASCIIString(o); - return NULL; - } -#else - return PyUnicode_AsUTF8AndSize(o, length); -#endif -} -#endif -#endif -static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) { -#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT - if ( -#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII - __Pyx_sys_getdefaultencoding_not_ascii && -#endif - PyUnicode_Check(o)) { - return __Pyx_PyUnicode_AsStringAndSize(o, length); - } else -#endif -#if (!CYTHON_COMPILING_IN_PYPY && !CYTHON_COMPILING_IN_LIMITED_API) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE)) - if (PyByteArray_Check(o)) { - *length = PyByteArray_GET_SIZE(o); - return PyByteArray_AS_STRING(o); - } else -#endif - { - char* result; - int r = PyBytes_AsStringAndSize(o, &result, length); - if (unlikely(r < 0)) { - return NULL; - } else { - return result; - } - } -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) { - int is_true = x == Py_True; - if (is_true | (x == Py_False) | (x == Py_None)) return is_true; - else return PyObject_IsTrue(x); -} -static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) { - int retval; - if (unlikely(!x)) return -1; - retval = __Pyx_PyObject_IsTrue(x); - Py_DECREF(x); - return retval; -} -static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) { - __Pyx_TypeName result_type_name = __Pyx_PyType_GetName(Py_TYPE(result)); -#if PY_MAJOR_VERSION >= 3 - if (PyLong_Check(result)) { - if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1, - "__int__ returned non-int (type " __Pyx_FMT_TYPENAME "). " - "The ability to return an instance of a strict subclass of int is deprecated, " - "and may be removed in a future version of Python.", - result_type_name)) { - __Pyx_DECREF_TypeName(result_type_name); - Py_DECREF(result); - return NULL; - } - __Pyx_DECREF_TypeName(result_type_name); - return result; - } -#endif - PyErr_Format(PyExc_TypeError, - "__%.4s__ returned non-%.4s (type " __Pyx_FMT_TYPENAME ")", - type_name, type_name, result_type_name); - __Pyx_DECREF_TypeName(result_type_name); - Py_DECREF(result); - return NULL; -} -static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) { -#if CYTHON_USE_TYPE_SLOTS - PyNumberMethods *m; -#endif - const char *name = NULL; - PyObject *res = NULL; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_Check(x) || PyLong_Check(x))) -#else - if (likely(PyLong_Check(x))) -#endif - return __Pyx_NewRef(x); -#if CYTHON_USE_TYPE_SLOTS - m = Py_TYPE(x)->tp_as_number; - #if PY_MAJOR_VERSION < 3 - if (m && m->nb_int) { - name = "int"; - res = m->nb_int(x); - } - else if (m && m->nb_long) { - name = "long"; - res = m->nb_long(x); - } - #else - if (likely(m && m->nb_int)) { - name = "int"; - res = m->nb_int(x); - } - #endif -#else - if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) { - res = PyNumber_Int(x); - } -#endif - if (likely(res)) { -#if PY_MAJOR_VERSION < 3 - if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) { -#else - if (unlikely(!PyLong_CheckExact(res))) { -#endif - return __Pyx_PyNumber_IntOrLongWrongResultType(res, name); - } - } - else if (!PyErr_Occurred()) { - PyErr_SetString(PyExc_TypeError, - "an integer is required"); - } - return res; -} -static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) { - Py_ssize_t ival; - PyObject *x; -#if PY_MAJOR_VERSION < 3 - if (likely(PyInt_CheckExact(b))) { - if (sizeof(Py_ssize_t) >= sizeof(long)) - return PyInt_AS_LONG(b); - else - return PyInt_AsSsize_t(b); - } -#endif - if (likely(PyLong_CheckExact(b))) { - #if CYTHON_USE_PYLONG_INTERNALS - if (likely(__Pyx_PyLong_IsCompact(b))) { - 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return PyInt_FromSize_t(ival); -} - - -/* #### Code section: utility_code_pragmas_end ### */ -#ifdef _MSC_VER -#pragma warning( pop ) -#endif - - - -/* #### Code section: end ### */ -#endif /* Py_PYTHON_H */ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.cpython-39-x86_64-linux-gnu.so b/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.cpython-39-x86_64-linux-gnu.so deleted file mode 100644 index 3f497f4d1de18463e54530b05f80451b1fcbeaeb..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.cpython-39-x86_64-linux-gnu.so +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:b06b34b9d5d5bacf35a5703ec02ac471956453596cf2041fb5f0ba21528ef7f6 -size 128240 diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.pyx b/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.pyx deleted file mode 100644 index 40f589a9b6ddfe5d42d62c242348380c0fe2242a..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/mesh_core_cython.pyx +++ /dev/null @@ -1,109 +0,0 @@ -import numpy as np -cimport numpy as np -from libcpp.string cimport string - -# use the Numpy-C-API from Cython -np.import_array() - -# cdefine the signature of our c function -cdef extern from "mesh_core.h": - void _rasterize_triangles_core( - float* vertices, int* triangles, - float* depth_buffer, int* triangle_buffer, float* barycentric_weight, - int nver, int ntri, - int h, int w) - - void _render_colors_core( - float* image, float* vertices, int* triangles, - float* colors, - float* depth_buffer, - int nver, int ntri, - int h, int w, int c) - - void _render_texture_core( - float* image, float* vertices, int* triangles, - float* texture, float* tex_coords, int* tex_triangles, - float* depth_buffer, - int nver, int tex_nver, int ntri, - int h, int w, int c, - int tex_h, int tex_w, int tex_c, - int mapping_type) - - void _get_normal_core( - float* normal, float* tri_normal, int* triangles, - int ntri) - - void _write_obj_with_colors_texture(string filename, string mtl_name, - float* vertices, int* triangles, float* colors, float* uv_coords, - int nver, int ntri, int ntexver) - -def get_normal_core(np.ndarray[float, ndim=2, mode = "c"] normal not None, - np.ndarray[float, ndim=2, mode = "c"] tri_normal not None, - np.ndarray[int, ndim=2, mode="c"] triangles not None, - int ntri - ): - _get_normal_core( - np.PyArray_DATA(normal), np.PyArray_DATA(tri_normal), np.PyArray_DATA(triangles), - ntri) - -def rasterize_triangles_core( - np.ndarray[float, ndim=2, mode = "c"] vertices not None, - np.ndarray[int, ndim=2, mode="c"] triangles not None, - np.ndarray[float, ndim=2, mode = "c"] depth_buffer not None, - np.ndarray[int, ndim=2, mode = "c"] triangle_buffer not None, - np.ndarray[float, ndim=2, mode = "c"] barycentric_weight not None, - int nver, int ntri, - int h, int w - ): - _rasterize_triangles_core( - np.PyArray_DATA(vertices), np.PyArray_DATA(triangles), - np.PyArray_DATA(depth_buffer), np.PyArray_DATA(triangle_buffer), np.PyArray_DATA(barycentric_weight), - nver, ntri, - h, w) - -def render_colors_core(np.ndarray[float, ndim=3, mode = "c"] image not None, - np.ndarray[float, ndim=2, mode = "c"] vertices not None, - np.ndarray[int, ndim=2, mode="c"] triangles not None, - np.ndarray[float, ndim=2, mode = "c"] colors not None, - np.ndarray[float, ndim=2, mode = "c"] depth_buffer not None, - int nver, int ntri, - int h, int w, int c - ): - _render_colors_core( - np.PyArray_DATA(image), np.PyArray_DATA(vertices), np.PyArray_DATA(triangles), - np.PyArray_DATA(colors), - np.PyArray_DATA(depth_buffer), - nver, ntri, - h, w, c) - -def render_texture_core(np.ndarray[float, ndim=3, mode = "c"] image not None, - np.ndarray[float, ndim=2, mode = "c"] vertices not None, - np.ndarray[int, ndim=2, mode="c"] triangles not None, - np.ndarray[float, ndim=3, mode = "c"] texture not None, - np.ndarray[float, ndim=2, mode = "c"] tex_coords not None, - np.ndarray[int, ndim=2, mode="c"] tex_triangles not None, - np.ndarray[float, ndim=2, mode = "c"] depth_buffer not None, - int nver, int tex_nver, int ntri, - int h, int w, int c, - int tex_h, int tex_w, int tex_c, - int mapping_type - ): - _render_texture_core( - np.PyArray_DATA(image), np.PyArray_DATA(vertices), np.PyArray_DATA(triangles), - np.PyArray_DATA(texture), np.PyArray_DATA(tex_coords), np.PyArray_DATA(tex_triangles), - np.PyArray_DATA(depth_buffer), - nver, tex_nver, ntri, - h, w, c, - tex_h, tex_w, tex_c, - mapping_type) - -def write_obj_with_colors_texture_core(string filename, string mtl_name, - np.ndarray[float, ndim=2, mode = "c"] vertices not None, - np.ndarray[int, ndim=2, mode="c"] triangles not None, - np.ndarray[float, ndim=2, mode = "c"] colors not None, - np.ndarray[float, ndim=2, mode = "c"] uv_coords not None, - int nver, int ntri, int ntexver - ): - _write_obj_with_colors_texture(filename, mtl_name, - np.PyArray_DATA(vertices), np.PyArray_DATA(triangles), np.PyArray_DATA(colors), np.PyArray_DATA(uv_coords), - nver, ntri, ntexver) diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/setup.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/setup.py deleted file mode 100644 index fc1ede1e777b369b1bbd9c94f6fa85ce037de3f9..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/cython/setup.py +++ /dev/null @@ -1,20 +0,0 @@ -''' -python setup.py build_ext -i -to compile -''' - -# setup.py -from distutils.core import setup, Extension -from Cython.Build import cythonize -from Cython.Distutils import build_ext -import numpy - -setup( - name = 'mesh_core_cython', - cmdclass={'build_ext': build_ext}, - ext_modules=[Extension("mesh_core_cython", - sources=["mesh_core_cython.pyx", "mesh_core.cpp"], - language='c++', - include_dirs=[numpy.get_include()])], -) - diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/io.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh/io.py deleted file mode 100644 index 4bb146012ecd8f78b7485153bafab00af092fe16..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/io.py +++ /dev/null @@ -1,142 +0,0 @@ -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -import os -from skimage import io -from time import time - -from .cython import mesh_core_cython - -## TODO -## TODO: c++ version -def read_obj(obj_name): - ''' read mesh - ''' - return 0 - -# ------------------------- write -def write_asc(path, vertices): - ''' - Args: - vertices: shape = (nver, 3) - ''' - if path.split('.')[-1] == 'asc': - np.savetxt(path, vertices) - else: - np.savetxt(path + '.asc', vertices) - -def write_obj_with_colors(obj_name, vertices, triangles, colors): - ''' Save 3D face model with texture represented by colors. - Args: - obj_name: str - vertices: shape = (nver, 3) - triangles: shape = (ntri, 3) - colors: shape = (nver, 3) - ''' - triangles = triangles.copy() - triangles += 1 # meshlab start with 1 - - if obj_name.split('.')[-1] != 'obj': - obj_name = obj_name + '.obj' - - # write obj - with open(obj_name, 'w') as f: - - # write vertices & colors - for i in range(vertices.shape[0]): - # s = 'v {} {} {} \n'.format(vertices[0,i], vertices[1,i], vertices[2,i]) - s = 'v {} {} {} {} {} {}\n'.format(vertices[i, 0], vertices[i, 1], vertices[i, 2], colors[i, 0], colors[i, 1], colors[i, 2]) - f.write(s) - - # write f: ver ind/ uv ind - [k, ntri] = triangles.shape - for i in range(triangles.shape[0]): - # s = 'f {} {} {}\n'.format(triangles[i, 0], triangles[i, 1], triangles[i, 2]) - s = 'f {} {} {}\n'.format(triangles[i, 2], triangles[i, 1], triangles[i, 0]) - f.write(s) - -## TODO: c++ version -def write_obj_with_texture(obj_name, vertices, triangles, texture, uv_coords): - ''' Save 3D face model with texture represented by texture map. - Ref: https://github.com/patrikhuber/eos/blob/bd00155ebae4b1a13b08bf5a991694d682abbada/include/eos/core/Mesh.hpp - Args: - obj_name: str - vertices: shape = (nver, 3) - triangles: shape = (ntri, 3) - texture: shape = (256,256,3) - uv_coords: shape = (nver, 3) max value<=1 - ''' - if obj_name.split('.')[-1] != 'obj': - obj_name = obj_name + '.obj' - mtl_name = obj_name.replace('.obj', '.mtl') - texture_name = obj_name.replace('.obj', '_texture.png') - - triangles = triangles.copy() - triangles += 1 # mesh lab start with 1 - - # write obj - with open(obj_name, 'w') as f: - # first line: write mtlib(material library) - s = "mtllib {}\n".format(os.path.abspath(mtl_name)) - f.write(s) - - # write vertices - for i in range(vertices.shape[0]): - s = 'v {} {} {}\n'.format(vertices[i, 0], vertices[i, 1], vertices[i, 2]) - f.write(s) - - # write uv coords - for i in range(uv_coords.shape[0]): - s = 'vt {} {}\n'.format(uv_coords[i,0], 1 - uv_coords[i,1]) - f.write(s) - - f.write("usemtl FaceTexture\n") - - # write f: ver ind/ uv ind - for i in range(triangles.shape[0]): - s = 'f {}/{} {}/{} {}/{}\n'.format(triangles[i,2], triangles[i,2], triangles[i,1], triangles[i,1], triangles[i,0], triangles[i,0]) - f.write(s) - - # write mtl - with open(mtl_name, 'w') as f: - f.write("newmtl FaceTexture\n") - s = 'map_Kd {}\n'.format(os.path.abspath(texture_name)) # map to image - f.write(s) - - # write texture as png - imsave(texture_name, texture) - -# c++ version -def write_obj_with_colors_texture(obj_name, vertices, triangles, colors, texture, uv_coords): - ''' Save 3D face model with texture. - Ref: https://github.com/patrikhuber/eos/blob/bd00155ebae4b1a13b08bf5a991694d682abbada/include/eos/core/Mesh.hpp - Args: - obj_name: str - vertices: shape = (nver, 3) - triangles: shape = (ntri, 3) - colors: shape = (nver, 3) - texture: shape = (256,256,3) - uv_coords: shape = (nver, 3) max value<=1 - ''' - if obj_name.split('.')[-1] != 'obj': - obj_name = obj_name + '.obj' - mtl_name = obj_name.replace('.obj', '.mtl') - texture_name = obj_name.replace('.obj', '_texture.png') - - triangles = triangles.copy() - triangles += 1 # mesh lab start with 1 - - # write obj - vertices, colors, uv_coords = vertices.astype(np.float32).copy(), colors.astype(np.float32).copy(), uv_coords.astype(np.float32).copy() - mesh_core_cython.write_obj_with_colors_texture_core(str.encode(obj_name), str.encode(os.path.abspath(mtl_name)), vertices, triangles, colors, uv_coords, vertices.shape[0], triangles.shape[0], uv_coords.shape[0]) - - # write mtl - with open(mtl_name, 'w') as f: - f.write("newmtl FaceTexture\n") - s = 'map_Kd {}\n'.format(os.path.abspath(texture_name)) # map to image - f.write(s) - - # write texture as png - io.imsave(texture_name, texture) \ No newline at end of file diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/light.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh/light.py deleted file mode 100644 index 5f0da63ed8ec6bbe8a12600e8d0f50cd75860129..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/light.py +++ /dev/null @@ -1,213 +0,0 @@ -''' -Functions about lighting mesh(changing colors/texture of mesh). -1. add light to colors/texture (shade each vertex) -2. fit light according to colors/texture & image. -''' - -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -from .cython import mesh_core_cython - -def get_normal(vertices, triangles): - ''' calculate normal direction in each vertex - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - Returns: - normal: [nver, 3] - ''' - pt0 = vertices[triangles[:, 0], :] # [ntri, 3] - pt1 = vertices[triangles[:, 1], :] # [ntri, 3] - pt2 = vertices[triangles[:, 2], :] # [ntri, 3] - tri_normal = np.cross(pt0 - pt1, pt0 - pt2) # [ntri, 3]. normal of each triangle - - normal = np.zeros_like(vertices, dtype = np.float32).copy() # [nver, 3] - # for i in range(triangles.shape[0]): - # normal[triangles[i, 0], :] = normal[triangles[i, 0], :] + tri_normal[i, :] - # normal[triangles[i, 1], :] = normal[triangles[i, 1], :] + tri_normal[i, :] - # normal[triangles[i, 2], :] = normal[triangles[i, 2], :] + tri_normal[i, :] - mesh_core_cython.get_normal_core(normal, tri_normal.astype(np.float32).copy(), triangles.copy(), triangles.shape[0]) - - # normalize to unit length - mag = np.sum(normal**2, 1) # [nver] - zero_ind = (mag == 0) - mag[zero_ind] = 1; - normal[zero_ind, 0] = np.ones((np.sum(zero_ind))) - - normal = normal/np.sqrt(mag[:,np.newaxis]) - - return normal - -# TODO: test -def add_light_sh(vertices, triangles, colors, sh_coeff): - ''' - In 3d face, usually assume: - 1. The surface of face is Lambertian(reflect only the low frequencies of lighting) - 2. Lighting can be an arbitrary combination of point sources - --> can be expressed in terms of spherical harmonics(omit the lighting coefficients) - I = albedo * (sh(n) x sh_coeff) - - albedo: n x 1 - sh_coeff: 9 x 1 - Y(n) = (1, n_x, n_y, n_z, n_xn_y, n_xn_z, n_yn_z, n_x^2 - n_y^2, 3n_z^2 - 1)': n x 9 - # Y(n) = (1, n_x, n_y, n_z)': n x 4 - - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - colors: [nver, 3] albedo - sh_coeff: [9, 1] spherical harmonics coefficients - - Returns: - lit_colors: [nver, 3] - ''' - assert vertices.shape[0] == colors.shape[0] - nver = vertices.shape[0] - normal = get_normal(vertices, triangles) # [nver, 3] - sh = np.array((np.ones(nver), n[:,0], n[:,1], n[:,2], n[:,0]*n[:,1], n[:,0]*n[:,2], n[:,1]*n[:,2], n[:,0]**2 - n[:,1]**2, 3*(n[:,2]**2) - 1)) # [nver, 9] - ref = sh.dot(sh_coeff) #[nver, 1] - lit_colors = colors*ref - return lit_colors - - -def add_light(vertices, triangles, colors, light_positions = 0, light_intensities = 0): - ''' Gouraud shading. add point lights. - In 3d face, usually assume: - 1. The surface of face is Lambertian(reflect only the low frequencies of lighting) - 2. Lighting can be an arbitrary combination of point sources - 3. No specular (unless skin is oil, 23333) - - Ref: https://cs184.eecs.berkeley.edu/lecture/pipeline - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - light_positions: [nlight, 3] - light_intensities: [nlight, 3] - Returns: - lit_colors: [nver, 3] - ''' - nver = vertices.shape[0] - normals = get_normal(vertices, triangles) # [nver, 3] - - # ambient - # La = ka*Ia - - # diffuse - # Ld = kd*(I/r^2)max(0, nxl) - direction_to_lights = vertices[np.newaxis, :, :] - light_positions[:, np.newaxis, :] # [nlight, nver, 3] - direction_to_lights_n = np.sqrt(np.sum(direction_to_lights**2, axis = 2)) # [nlight, nver] - direction_to_lights = direction_to_lights/direction_to_lights_n[:, :, np.newaxis] - normals_dot_lights = normals[np.newaxis, :, :]*direction_to_lights # [nlight, nver, 3] - normals_dot_lights = np.sum(normals_dot_lights, axis = 2) # [nlight, nver] - diffuse_output = colors[np.newaxis, :, :]*normals_dot_lights[:, :, np.newaxis]*light_intensities[:, np.newaxis, :] - diffuse_output = np.sum(diffuse_output, axis = 0) # [nver, 3] - - # specular - # h = (v + l)/(|v + l|) bisector - # Ls = ks*(I/r^2)max(0, nxh)^p - # increasing p narrows the reflectionlob - - lit_colors = diffuse_output # only diffuse part here. - lit_colors = np.minimum(np.maximum(lit_colors, 0), 1) - return lit_colors - - - -## TODO. estimate light(sh coeff) -## -------------------------------- estimate. can not use now. -def fit_light(image, vertices, colors, triangles, vis_ind, lamb = 10, max_iter = 3): - [h, w, c] = image.shape - - # surface normal - norm = get_normal(vertices, triangles) - - nver = vertices.shape[1] - - # vertices --> corresponding image pixel - pt2d = vertices[:2, :] - - pt2d[0,:] = np.minimum(np.maximum(pt2d[0,:], 0), w - 1) - pt2d[1,:] = np.minimum(np.maximum(pt2d[1,:], 0), h - 1) - pt2d = np.round(pt2d).astype(np.int32) # 2 x nver - - image_pixel = image[pt2d[1,:], pt2d[0,:], :] # nver x 3 - image_pixel = image_pixel.T # 3 x nver - - # vertices --> corresponding mean texture pixel with illumination - # Spherical Harmonic Basis - harmonic_dim = 9 - nx = norm[0,:]; - ny = norm[1,:]; - nz = norm[2,:]; - harmonic = np.zeros((nver, harmonic_dim)) - - pi = np.pi - harmonic[:,0] = np.sqrt(1/(4*pi)) * np.ones((nver,)); - harmonic[:,1] = np.sqrt(3/(4*pi)) * nx; - harmonic[:,2] = np.sqrt(3/(4*pi)) * ny; - harmonic[:,3] = np.sqrt(3/(4*pi)) * nz; - harmonic[:,4] = 1/2. * np.sqrt(3/(4*pi)) * (2*nz**2 - nx**2 - ny**2); - harmonic[:,5] = 3 * np.sqrt(5/(12*pi)) * (ny*nz); - harmonic[:,6] = 3 * np.sqrt(5/(12*pi)) * (nx*nz); - harmonic[:,7] = 3 * np.sqrt(5/(12*pi)) * (nx*ny); - harmonic[:,8] = 3/2. * np.sqrt(5/(12*pi)) * (nx*nx - ny*ny); - - ''' - I' = sum(albedo * lj * hj) j = 0:9 (albedo = tex) - set A = albedo*h (n x 9) - alpha = lj (9 x 1) - Y = I (n x 1) - Y' = A.dot(alpha) - - opt function: - ||Y - A*alpha|| + lambda*(alpha'*alpha) - result: - A'*(Y - A*alpha) + lambda*alpha = 0 - ==> - (A'*A*alpha - lambda)*alpha = A'*Y - left: 9 x 9 - right: 9 x 1 - ''' - n_vis_ind = len(vis_ind) - n = n_vis_ind*c - - Y = np.zeros((n, 1)) - A = np.zeros((n, 9)) - light = np.zeros((3, 1)) - - for k in range(c): - Y[k*n_vis_ind:(k+1)*n_vis_ind, :] = image_pixel[k, vis_ind][:, np.newaxis] - A[k*n_vis_ind:(k+1)*n_vis_ind, :] = texture[k, vis_ind][:, np.newaxis] * harmonic[vis_ind, :] - Ac = texture[k, vis_ind][:, np.newaxis] - Yc = image_pixel[k, vis_ind][:, np.newaxis] - light[k] = (Ac.T.dot(Yc))/(Ac.T.dot(Ac)) - - for i in range(max_iter): - - Yc = Y.copy() - for k in range(c): - Yc[k*n_vis_ind:(k+1)*n_vis_ind, :] /= light[k] - - # update alpha - equation_left = np.dot(A.T, A) + lamb*np.eye(harmonic_dim); # why + ? - equation_right = np.dot(A.T, Yc) - alpha = np.dot(np.linalg.inv(equation_left), equation_right) - - # update light - for k in range(c): - Ac = A[k*n_vis_ind:(k+1)*n_vis_ind, :].dot(alpha) - Yc = Y[k*n_vis_ind:(k+1)*n_vis_ind, :] - light[k] = (Ac.T.dot(Yc))/(Ac.T.dot(Ac)) - - appearance = np.zeros_like(texture) - for k in range(c): - tmp = np.dot(harmonic*texture[k, :][:, np.newaxis], alpha*light[k]) - appearance[k,:] = tmp.T - - appearance = np.minimum(np.maximum(appearance, 0), 1) - - return appearance - diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/render.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh/render.py deleted file mode 100644 index 19957222e7fd3841cf11cc3bdd06630f28509381..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/render.py +++ /dev/null @@ -1,135 +0,0 @@ -''' -functions about rendering mesh(from 3d obj to 2d image). -only use rasterization render here. -Note that: -1. Generally, render func includes camera, light, raterize. Here no camera and light(I write these in other files) -2. Generally, the input vertices are normalized to [-1,1] and cetered on [0, 0]. (in world space) - Here, the vertices are using image coords, which centers on [w/2, h/2] with the y-axis pointing to oppisite direction. - Means: render here only conducts interpolation.(I just want to make the input flexible) - -Author: Yao Feng -Mail: yaofeng1995@gmail.com -''' -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -from time import time - -from .cython import mesh_core_cython - -def rasterize_triangles(vertices, triangles, h, w): - ''' - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - h: height - w: width - Returns: - depth_buffer: [h, w] saves the depth, here, the bigger the z, the fronter the point. - triangle_buffer: [h, w] saves the tri id(-1 for no triangle). - barycentric_weight: [h, w, 3] saves corresponding barycentric weight. - - # Each triangle has 3 vertices & Each vertex has 3 coordinates x, y, z. - # h, w is the size of rendering - ''' - - # initial - depth_buffer = np.zeros([h, w]) - 999999. #set the initial z to the farest position - triangle_buffer = np.zeros([h, w], dtype = np.int32) - 1 # if tri id = -1, the pixel has no triangle correspondance - barycentric_weight = np.zeros([h, w, 3], dtype = np.float32) # - - vertices = vertices.astype(np.float32).copy() - triangles = triangles.astype(np.int32).copy() - - mesh_core_cython.rasterize_triangles_core( - vertices, triangles, - depth_buffer, triangle_buffer, barycentric_weight, - vertices.shape[0], triangles.shape[0], - h, w) - -def render_colors(vertices, triangles, colors, h, w, c = 3, BG = None): - ''' render mesh with colors - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - colors: [nver, 3] - h: height - w: width - c: channel - BG: background image - Returns: - image: [h, w, c]. rendered image./rendering. - ''' - - # initial - if BG is None: - image = np.zeros((h, w, c), dtype = np.float32) - else: - assert BG.shape[0] == h and BG.shape[1] == w and BG.shape[2] == c - image = BG - depth_buffer = np.zeros([h, w], dtype = np.float32, order = 'C') - 999999. - - # change orders. --> C-contiguous order(column major) - vertices = vertices.astype(np.float32).copy() - triangles = triangles.astype(np.int32).copy() - colors = colors.astype(np.float32).copy() - ### - st = time() - mesh_core_cython.render_colors_core( - image, vertices, triangles, - colors, - depth_buffer, - vertices.shape[0], triangles.shape[0], - h, w, c) - return image - - -def render_texture(vertices, triangles, texture, tex_coords, tex_triangles, h, w, c = 3, mapping_type = 'nearest', BG = None): - ''' render mesh with texture map - Args: - vertices: [3, nver] - triangles: [3, ntri] - texture: [tex_h, tex_w, 3] - tex_coords: [ntexcoords, 3] - tex_triangles: [ntri, 3] - h: height of rendering - w: width of rendering - c: channel - mapping_type: 'bilinear' or 'nearest' - ''' - # initial - if BG is None: - image = np.zeros((h, w, c), dtype = np.float32) - else: - assert BG.shape[0] == h and BG.shape[1] == w and BG.shape[2] == c - image = BG - - depth_buffer = np.zeros([h, w], dtype = np.float32, order = 'C') - 999999. - - tex_h, tex_w, tex_c = texture.shape - if mapping_type == 'nearest': - mt = int(0) - elif mapping_type == 'bilinear': - mt = int(1) - else: - mt = int(0) - - # -> C order - vertices = vertices.astype(np.float32).copy() - triangles = triangles.astype(np.int32).copy() - texture = texture.astype(np.float32).copy() - tex_coords = tex_coords.astype(np.float32).copy() - tex_triangles = tex_triangles.astype(np.int32).copy() - - mesh_core_cython.render_texture_core( - image, vertices, triangles, - texture, tex_coords, tex_triangles, - depth_buffer, - vertices.shape[0], tex_coords.shape[0], triangles.shape[0], - h, w, c, - tex_h, tex_w, tex_c, - mt) - return image - diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/transform.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh/transform.py deleted file mode 100644 index d91b09fae2bcead1ae2f29d8d43831e556494a2f..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/transform.py +++ /dev/null @@ -1,383 +0,0 @@ -''' -Functions about transforming mesh(changing the position: modify vertices). -1. forward: transform(transform, camera, project). -2. backward: estimate transform matrix from correspondences. - -Author: Yao Feng -Mail: yaofeng1995@gmail.com -''' - -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -import math -from math import cos, sin - -def angle2matrix(angles): - ''' get rotation matrix from three rotation angles(degree). right-handed. - Args: - angles: [3,]. x, y, z angles - x: pitch. positive for looking down. - y: yaw. positive for looking left. - z: roll. positive for tilting head right. - Returns: - R: [3, 3]. rotation matrix. - ''' - x, y, z = np.deg2rad(angles[0]), np.deg2rad(angles[1]), np.deg2rad(angles[2]) - # x - Rx=np.array([[1, 0, 0], - [0, cos(x), -sin(x)], - [0, sin(x), cos(x)]]) - # y - Ry=np.array([[ cos(y), 0, sin(y)], - [ 0, 1, 0], - [-sin(y), 0, cos(y)]]) - # z - Rz=np.array([[cos(z), -sin(z), 0], - [sin(z), cos(z), 0], - [ 0, 0, 1]]) - - R=Rz.dot(Ry.dot(Rx)) - return R.astype(np.float32) - -def angle2matrix_3ddfa(angles): - ''' get rotation matrix from three rotation angles(radian). The same as in 3DDFA. - Args: - angles: [3,]. x, y, z angles - x: pitch. - y: yaw. - z: roll. - Returns: - R: 3x3. rotation matrix. - ''' - # x, y, z = np.deg2rad(angles[0]), np.deg2rad(angles[1]), np.deg2rad(angles[2]) - x, y, z = angles[0], angles[1], angles[2] - - # x - Rx=np.array([[1, 0, 0], - [0, cos(x), sin(x)], - [0, -sin(x), cos(x)]]) - # y - Ry=np.array([[ cos(y), 0, -sin(y)], - [ 0, 1, 0], - [sin(y), 0, cos(y)]]) - # z - Rz=np.array([[cos(z), sin(z), 0], - [-sin(z), cos(z), 0], - [ 0, 0, 1]]) - R = Rx.dot(Ry).dot(Rz) - return R.astype(np.float32) - - -## ------------------------------------------ 1. transform(transform, project, camera). -## ---------- 3d-3d transform. Transform obj in world space -def rotate(vertices, angles): - ''' rotate vertices. - X_new = R.dot(X). X: 3 x 1 - Args: - vertices: [nver, 3]. - rx, ry, rz: degree angles - rx: pitch. positive for looking down - ry: yaw. positive for looking left - rz: roll. positive for tilting head right - Returns: - rotated vertices: [nver, 3] - ''' - R = angle2matrix(angles) - rotated_vertices = vertices.dot(R.T) - - return rotated_vertices - -def similarity_transform(vertices, s, R, t3d): - ''' similarity transform. dof = 7. - 3D: s*R.dot(X) + t - Homo: M = [[sR, t],[0^T, 1]]. M.dot(X) - Args:(float32) - vertices: [nver, 3]. - s: [1,]. scale factor. - R: [3,3]. rotation matrix. - t3d: [3,]. 3d translation vector. - Returns: - transformed vertices: [nver, 3] - ''' - t3d = np.squeeze(np.array(t3d, dtype = np.float32)) - transformed_vertices = s * vertices.dot(R.T) + t3d[np.newaxis, :] - - return transformed_vertices - - -## -------------- Camera. from world space to camera space -# Ref: https://cs184.eecs.berkeley.edu/lecture/transforms-2 -def normalize(x): - epsilon = 1e-12 - norm = np.sqrt(np.sum(x**2, axis = 0)) - norm = np.maximum(norm, epsilon) - return x/norm - -def lookat_camera(vertices, eye, at = None, up = None): - """ 'look at' transformation: from world space to camera space - standard camera space: - camera located at the origin. - looking down negative z-axis. - vertical vector is y-axis. - Xcam = R(X - C) - Homo: [[R, -RC], [0, 1]] - Args: - vertices: [nver, 3] - eye: [3,] the XYZ world space position of the camera. - at: [3,] a position along the center of the camera's gaze. - up: [3,] up direction - Returns: - transformed_vertices: [nver, 3] - """ - if at is None: - at = np.array([0, 0, 0], np.float32) - if up is None: - up = np.array([0, 1, 0], np.float32) - - eye = np.array(eye).astype(np.float32) - at = np.array(at).astype(np.float32) - z_aixs = -normalize(at - eye) # look forward - x_aixs = normalize(np.cross(up, z_aixs)) # look right - y_axis = np.cross(z_aixs, x_aixs) # look up - - R = np.stack((x_aixs, y_axis, z_aixs))#, axis = 0) # 3 x 3 - transformed_vertices = vertices - eye # translation - transformed_vertices = transformed_vertices.dot(R.T) # rotation - return transformed_vertices - -## --------- 3d-2d project. from camera space to image plane -# generally, image plane only keeps x,y channels, here reserve z channel for calculating z-buffer. -def orthographic_project(vertices): - ''' scaled orthographic projection(just delete z) - assumes: variations in depth over the object is small relative to the mean distance from camera to object - x -> x*f/z, y -> x*f/z, z -> f. - for point i,j. zi~=zj. so just delete z - ** often used in face - Homo: P = [[1,0,0,0], [0,1,0,0], [0,0,1,0]] - Args: - vertices: [nver, 3] - Returns: - projected_vertices: [nver, 3] if isKeepZ=True. [nver, 2] if isKeepZ=False. - ''' - return vertices.copy() - -def perspective_project(vertices, fovy, aspect_ratio = 1., near = 0.1, far = 1000.): - ''' perspective projection. - Args: - vertices: [nver, 3] - fovy: vertical angular field of view. degree. - aspect_ratio : width / height of field of view - near : depth of near clipping plane - far : depth of far clipping plane - Returns: - projected_vertices: [nver, 3] - ''' - fovy = np.deg2rad(fovy) - top = near*np.tan(fovy) - bottom = -top - right = top*aspect_ratio - left = -right - - #-- homo - P = np.array([[near/right, 0, 0, 0], - [0, near/top, 0, 0], - [0, 0, -(far+near)/(far-near), -2*far*near/(far-near)], - [0, 0, -1, 0]]) - vertices_homo = np.hstack((vertices, np.ones((vertices.shape[0], 1)))) # [nver, 4] - projected_vertices = vertices_homo.dot(P.T) - projected_vertices = projected_vertices/projected_vertices[:,3:] - projected_vertices = projected_vertices[:,:3] - projected_vertices[:,2] = -projected_vertices[:,2] - - #-- non homo. only fovy - # projected_vertices = vertices.copy() - # projected_vertices[:,0] = -(near/right)*vertices[:,0]/vertices[:,2] - # projected_vertices[:,1] = -(near/top)*vertices[:,1]/vertices[:,2] - return projected_vertices - - -def to_image(vertices, h, w, is_perspective = False): - ''' change vertices to image coord system - 3d system: XYZ, center(0, 0, 0) - 2d image: x(u), y(v). center(w/2, h/2), flip y-axis. - Args: - vertices: [nver, 3] - h: height of the rendering - w : width of the rendering - Returns: - projected_vertices: [nver, 3] - ''' - image_vertices = vertices.copy() - if is_perspective: - # if perspective, the projected vertices are normalized to [-1, 1]. so change it to image size first. - image_vertices[:,0] = image_vertices[:,0]*w/2 - image_vertices[:,1] = image_vertices[:,1]*h/2 - # move to center of image - image_vertices[:,0] = image_vertices[:,0] + w/2 - image_vertices[:,1] = image_vertices[:,1] + h/2 - # flip vertices along y-axis. - image_vertices[:,1] = h - image_vertices[:,1] - 1 - return image_vertices - - -#### -------------------------------------------2. estimate transform matrix from correspondences. -def estimate_affine_matrix_3d23d(X, Y): - ''' Using least-squares solution - Args: - X: [n, 3]. 3d points(fixed) - Y: [n, 3]. corresponding 3d points(moving). Y = PX - Returns: - P_Affine: (3, 4). Affine camera matrix (the third row is [0, 0, 0, 1]). - ''' - X_homo = np.hstack((X, np.ones([X.shape[1],1]))) #n x 4 - P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4 - return P - -def estimate_affine_matrix_3d22d(X, x): - ''' Using Golden Standard Algorithm for estimating an affine camera - matrix P from world to image correspondences. - See Alg.7.2. in MVGCV - Code Ref: https://github.com/patrikhuber/eos/blob/master/include/eos/fitting/affine_camera_estimation.hpp - x_homo = X_homo.dot(P_Affine) - Args: - X: [n, 3]. corresponding 3d points(fixed) - x: [n, 2]. n>=4. 2d points(moving). x = PX - Returns: - P_Affine: [3, 4]. Affine camera matrix - ''' - X = X.T; x = x.T - assert(x.shape[1] == X.shape[1]) - n = x.shape[1] - assert(n >= 4) - - #--- 1. normalization - # 2d points - mean = np.mean(x, 1) # (2,) - x = x - np.tile(mean[:, np.newaxis], [1, n]) - average_norm = np.mean(np.sqrt(np.sum(x**2, 0))) - scale = np.sqrt(2) / average_norm - x = scale * x - - T = np.zeros((3,3), dtype = np.float32) - T[0, 0] = T[1, 1] = scale - T[:2, 2] = -mean*scale - T[2, 2] = 1 - - # 3d points - X_homo = np.vstack((X, np.ones((1, n)))) - mean = np.mean(X, 1) # (3,) - X = X - np.tile(mean[:, np.newaxis], [1, n]) - m = X_homo[:3,:] - X - average_norm = np.mean(np.sqrt(np.sum(X**2, 0))) - scale = np.sqrt(3) / average_norm - X = scale * X - - U = np.zeros((4,4), dtype = np.float32) - U[0, 0] = U[1, 1] = U[2, 2] = scale - U[:3, 3] = -mean*scale - U[3, 3] = 1 - - # --- 2. equations - A = np.zeros((n*2, 8), dtype = np.float32); - X_homo = np.vstack((X, np.ones((1, n)))).T - A[:n, :4] = X_homo - A[n:, 4:] = X_homo - b = np.reshape(x, [-1, 1]) - - # --- 3. solution - p_8 = np.linalg.pinv(A).dot(b) - P = np.zeros((3, 4), dtype = np.float32) - P[0, :] = p_8[:4, 0] - P[1, :] = p_8[4:, 0] - P[-1, -1] = 1 - - # --- 4. denormalization - P_Affine = np.linalg.inv(T).dot(P.dot(U)) - return P_Affine - -def P2sRt(P): - ''' decompositing camera matrix P - Args: - P: (3, 4). Affine Camera Matrix. - Returns: - s: scale factor. - R: (3, 3). rotation matrix. - t: (3,). translation. - ''' - t = P[:, 3] - R1 = P[0:1, :3] - R2 = P[1:2, :3] - s = (np.linalg.norm(R1) + np.linalg.norm(R2))/2.0 - r1 = R1/np.linalg.norm(R1) - r2 = R2/np.linalg.norm(R2) - r3 = np.cross(r1, r2) - - R = np.concatenate((r1, r2, r3), 0) - return s, R, t - -#Ref: https://www.learnopencv.com/rotation-matrix-to-euler-angles/ -def isRotationMatrix(R): - ''' checks if a matrix is a valid rotation matrix(whether orthogonal or not) - ''' - Rt = np.transpose(R) - shouldBeIdentity = np.dot(Rt, R) - I = np.identity(3, dtype = R.dtype) - n = np.linalg.norm(I - shouldBeIdentity) - return n < 1e-6 - -def matrix2angle(R): - ''' get three Euler angles from Rotation Matrix - Args: - R: (3,3). rotation matrix - Returns: - x: pitch - y: yaw - z: roll - ''' - assert(isRotationMatrix) - sy = math.sqrt(R[0,0] * R[0,0] + R[1,0] * R[1,0]) - - singular = sy < 1e-6 - - if not singular : - x = math.atan2(R[2,1] , R[2,2]) - y = math.atan2(-R[2,0], sy) - z = math.atan2(R[1,0], R[0,0]) - else : - x = math.atan2(-R[1,2], R[1,1]) - y = math.atan2(-R[2,0], sy) - z = 0 - - # rx, ry, rz = np.rad2deg(x), np.rad2deg(y), np.rad2deg(z) - rx, ry, rz = x*180/np.pi, y*180/np.pi, z*180/np.pi - return rx, ry, rz - -# def matrix2angle(R): -# ''' compute three Euler angles from a Rotation Matrix. Ref: http://www.gregslabaugh.net/publications/euler.pdf -# Args: -# R: (3,3). rotation matrix -# Returns: -# x: yaw -# y: pitch -# z: roll -# ''' -# # assert(isRotationMatrix(R)) - -# if R[2,0] !=1 or R[2,0] != -1: -# x = math.asin(R[2,0]) -# y = math.atan2(R[2,1]/cos(x), R[2,2]/cos(x)) -# z = math.atan2(R[1,0]/cos(x), R[0,0]/cos(x)) - -# else:# Gimbal lock -# z = 0 #can be anything -# if R[2,0] == -1: -# x = np.pi/2 -# y = z + math.atan2(R[0,1], R[0,2]) -# else: -# x = -np.pi/2 -# y = -z + math.atan2(-R[0,1], -R[0,2]) - -# return x, y, z \ No newline at end of file diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh/vis.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh/vis.py deleted file mode 100644 index 9db972f2c463a310fa4abde16d6a7baf02797c90..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh/vis.py +++ /dev/null @@ -1,24 +0,0 @@ -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -import matplotlib.pyplot as plt -from skimage import measure -from mpl_toolkits.mplot3d import Axes3D - -def plot_mesh(vertices, triangles, subplot = [1,1,1], title = 'mesh', el = 90, az = -90, lwdt=.1, dist = 6, color = "grey"): - ''' - plot the mesh - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - ''' - ax = plt.subplot(subplot[0], subplot[1], subplot[2], projection = '3d') - ax.plot_trisurf(vertices[:, 0], vertices[:, 1], vertices[:, 2], triangles = triangles, lw = lwdt, color = color, alpha = 1) - ax.axis("off") - ax.view_init(elev = el, azim = az) - ax.dist = dist - plt.title(title) - -### -------------- Todo: use vtk to visualize mesh? or visvis? or VisPy? diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__init__.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__init__.py deleted file mode 100644 index 65d503903b8bec3ab20bd1915618dbd467710207..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__init__.py +++ /dev/null @@ -1,10 +0,0 @@ -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -from . import io -from . import vis -from . import transform -from . import light -from . import render - diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index f9f8634e0717987e4fa578838eb0182f2047367e..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/__init__.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/io.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/io.cpython-39.pyc deleted file mode 100644 index c6a3e7339cbc658565c3aba9edb894f2b3c7d165..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/io.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/light.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/light.cpython-39.pyc deleted file mode 100644 index 100862f8c491ed917546fe5c5341f14b6a3c221b..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/light.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/render.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/render.cpython-39.pyc deleted file mode 100644 index b552552f09b511a4c4c140c335d18c8c8fb4792d..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/render.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/transform.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/transform.cpython-39.pyc deleted file mode 100644 index 063ee7a7a2f6352a7bdc7850107e8582bd520e6c..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/transform.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/vis.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/vis.cpython-39.pyc deleted file mode 100644 index 0e8601627a1a602046f490f6e6025c7b0560cbfe..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/__pycache__/vis.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/io.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/io.py deleted file mode 100644 index 0e48a76d21689c6f3b85cb1aa9ad6123058b3816..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/io.py +++ /dev/null @@ -1,170 +0,0 @@ -''' io: read&write mesh -1. read obj as array(TODO) -2. write arrays to obj - -Preparation knowledge: -representations of 3d face: mesh, point cloud... -storage format: obj, ply, bin, asc, mat... -''' - -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -import os -from skimage import io - -## TODO -## TODO: c++ version -def read_obj(obj_name): - ''' read mesh - ''' - return 0 - -# ------------------------- write -def write_asc(path, vertices): - ''' - Args: - vertices: shape = (nver, 3) - ''' - if path.split('.')[-1] == 'asc': - np.savetxt(path, vertices) - else: - np.savetxt(path + '.asc', vertices) - -def write_obj_with_colors(obj_name, vertices, triangles, colors): - ''' Save 3D face model with texture represented by colors. - Args: - obj_name: str - vertices: shape = (nver, 3) - triangles: shape = (ntri, 3) - colors: shape = (nver, 3) - ''' - triangles = triangles.copy() - triangles += 1 # meshlab start with 1 - - if obj_name.split('.')[-1] != 'obj': - obj_name = obj_name + '.obj' - - # write obj - with open(obj_name, 'w') as f: - - # write vertices & colors - for i in range(vertices.shape[0]): - # s = 'v {} {} {} \n'.format(vertices[0,i], vertices[1,i], vertices[2,i]) - s = 'v {} {} {} {} {} {}\n'.format(vertices[i, 0], vertices[i, 1], vertices[i, 2], colors[i, 0], colors[i, 1], colors[i, 2]) - f.write(s) - - # write f: ver ind/ uv ind - [k, ntri] = triangles.shape - for i in range(triangles.shape[0]): - # s = 'f {} {} {}\n'.format(triangles[i, 0], triangles[i, 1], triangles[i, 2]) - s = 'f {} {} {}\n'.format(triangles[i, 2], triangles[i, 1], triangles[i, 0]) - f.write(s) - -## TODO: c++ version -def write_obj_with_texture(obj_name, vertices, triangles, texture, uv_coords): - ''' Save 3D face model with texture represented by texture map. - Ref: https://github.com/patrikhuber/eos/blob/bd00155ebae4b1a13b08bf5a991694d682abbada/include/eos/core/Mesh.hpp - Args: - obj_name: str - vertices: shape = (nver, 3) - triangles: shape = (ntri, 3) - texture: shape = (256,256,3) - uv_coords: shape = (nver, 3) max value<=1 - ''' - if obj_name.split('.')[-1] != 'obj': - obj_name = obj_name + '.obj' - mtl_name = obj_name.replace('.obj', '.mtl') - texture_name = obj_name.replace('.obj', '_texture.png') - - triangles = triangles.copy() - triangles += 1 # mesh lab start with 1 - - # write obj - with open(obj_name, 'w') as f: - # first line: write mtlib(material library) - s = "mtllib {}\n".format(os.path.abspath(mtl_name)) - f.write(s) - - # write vertices - for i in range(vertices.shape[0]): - s = 'v {} {} {}\n'.format(vertices[i, 0], vertices[i, 1], vertices[i, 2]) - f.write(s) - - # write uv coords - for i in range(uv_coords.shape[0]): - # s = 'vt {} {}\n'.format(uv_coords[i,0], 1 - uv_coords[i,1]) - s = 'vt {} {}\n'.format(uv_coords[i,0], uv_coords[i,1]) - f.write(s) - - f.write("usemtl FaceTexture\n") - - # write f: ver ind/ uv ind - for i in range(triangles.shape[0]): - s = 'f {}/{} {}/{} {}/{}\n'.format(triangles[i,2], triangles[i,2], triangles[i,1], triangles[i,1], triangles[i,0], triangles[i,0]) - f.write(s) - - # write mtl - with open(mtl_name, 'w') as f: - f.write("newmtl FaceTexture\n") - s = 'map_Kd {}\n'.format(os.path.abspath(texture_name)) # map to image - f.write(s) - - # write texture as png - imsave(texture_name, texture) - - -def write_obj_with_colors_texture(obj_name, vertices, triangles, colors, texture, uv_coords): - ''' Save 3D face model with texture. - Ref: https://github.com/patrikhuber/eos/blob/bd00155ebae4b1a13b08bf5a991694d682abbada/include/eos/core/Mesh.hpp - Args: - obj_name: str - vertices: shape = (nver, 3) - triangles: shape = (ntri, 3) - colors: shape = (nver, 3) - texture: shape = (256,256,3) - uv_coords: shape = (nver, 3) max value<=1 - ''' - if obj_name.split('.')[-1] != 'obj': - obj_name = obj_name + '.obj' - mtl_name = obj_name.replace('.obj', '.mtl') - texture_name = obj_name.replace('.obj', '_texture.png') - - triangles = triangles.copy() - triangles += 1 # mesh lab start with 1 - - # write obj - with open(obj_name, 'w') as f: - # first line: write mtlib(material library) - s = "mtllib {}\n".format(os.path.abspath(mtl_name)) - f.write(s) - - # write vertices - for i in range(vertices.shape[0]): - s = 'v {} {} {} {} {} {}\n'.format(vertices[i, 0], vertices[i, 1], vertices[i, 2], colors[i, 0], colors[i, 1], colors[i, 2]) - f.write(s) - - # write uv coords - for i in range(uv_coords.shape[0]): - # s = 'vt {} {}\n'.format(uv_coords[i,0], 1 - uv_coords[i,1]) - s = 'vt {} {}\n'.format(uv_coords[i,0], uv_coords[i,1]) - f.write(s) - - f.write("usemtl FaceTexture\n") - - # write f: ver ind/ uv ind - for i in range(triangles.shape[0]): - # s = 'f {}/{} {}/{} {}/{}\n'.format(triangles[i,0], triangles[i,0], triangles[i,1], triangles[i,1], triangles[i,2], triangles[i,2]) - s = 'f {}/{} {}/{} {}/{}\n'.format(triangles[i,2], triangles[i,2], triangles[i,1], triangles[i,1], triangles[i,0], triangles[i,0]) - f.write(s) - - # write mtl - with open(mtl_name, 'w') as f: - f.write("newmtl FaceTexture\n") - s = 'map_Kd {}\n'.format(os.path.abspath(texture_name)) # map to image - f.write(s) - - # write texture as png - io.imsave(texture_name, texture) \ No newline at end of file diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/light.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/light.py deleted file mode 100644 index bde57114bdd57b6e9a2bac59942bfcbfbf17cbe3..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/light.py +++ /dev/null @@ -1,215 +0,0 @@ -''' -Functions about lighting mesh(changing colors/texture of mesh). -1. add light to colors/texture (shade each vertex) -2. fit light according to colors/texture & image. - -Preparation knowledge: -lighting: https://cs184.eecs.berkeley.edu/lecture/pipeline -spherical harmonics in human face: '3D Face Reconstruction from a Single Image Using a Single Reference Face Shape' -''' - -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np - -def get_normal(vertices, triangles): - ''' calculate normal direction in each vertex - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - Returns: - normal: [nver, 3] - ''' - pt0 = vertices[triangles[:, 0], :] # [ntri, 3] - pt1 = vertices[triangles[:, 1], :] # [ntri, 3] - pt2 = vertices[triangles[:, 2], :] # [ntri, 3] - tri_normal = np.cross(pt0 - pt1, pt0 - pt2) # [ntri, 3]. normal of each triangle - - normal = np.zeros_like(vertices) # [nver, 3] - for i in range(triangles.shape[0]): - normal[triangles[i, 0], :] = normal[triangles[i, 0], :] + tri_normal[i, :] - normal[triangles[i, 1], :] = normal[triangles[i, 1], :] + tri_normal[i, :] - normal[triangles[i, 2], :] = normal[triangles[i, 2], :] + tri_normal[i, :] - - # normalize to unit length - mag = np.sum(normal**2, 1) # [nver] - zero_ind = (mag == 0) - mag[zero_ind] = 1; - normal[zero_ind, 0] = np.ones((np.sum(zero_ind))) - - normal = normal/np.sqrt(mag[:,np.newaxis]) - - return normal - -# TODO: test -def add_light_sh(vertices, triangles, colors, sh_coeff): - ''' - In 3d face, usually assume: - 1. The surface of face is Lambertian(reflect only the low frequencies of lighting) - 2. Lighting can be an arbitrary combination of point sources - --> can be expressed in terms of spherical harmonics(omit the lighting coefficients) - I = albedo * (sh(n) x sh_coeff) - - albedo: n x 1 - sh_coeff: 9 x 1 - Y(n) = (1, n_x, n_y, n_z, n_xn_y, n_xn_z, n_yn_z, n_x^2 - n_y^2, 3n_z^2 - 1)': n x 9 - # Y(n) = (1, n_x, n_y, n_z)': n x 4 - - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - colors: [nver, 3] albedo - sh_coeff: [9, 1] spherical harmonics coefficients - - Returns: - lit_colors: [nver, 3] - ''' - assert vertices.shape[0] == colors.shape[0] - nver = vertices.shape[0] - normal = get_normal(vertices, triangles) # [nver, 3] - sh = np.array((np.ones(nver), n[:,0], n[:,1], n[:,2], n[:,0]*n[:,1], n[:,0]*n[:,2], n[:,1]*n[:,2], n[:,0]**2 - n[:,1]**2, 3*(n[:,2]**2) - 1)) # [nver, 9] - ref = sh.dot(sh_coeff) #[nver, 1] - lit_colors = colors*ref - return lit_colors - - -def add_light(vertices, triangles, colors, light_positions = 0, light_intensities = 0): - ''' Gouraud shading. add point lights. - In 3d face, usually assume: - 1. The surface of face is Lambertian(reflect only the low frequencies of lighting) - 2. Lighting can be an arbitrary combination of point sources - 3. No specular (unless skin is oil, 23333) - - Ref: https://cs184.eecs.berkeley.edu/lecture/pipeline - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - light_positions: [nlight, 3] - light_intensities: [nlight, 3] - Returns: - lit_colors: [nver, 3] - ''' - nver = vertices.shape[0] - normals = get_normal(vertices, triangles) # [nver, 3] - - # ambient - # La = ka*Ia - - # diffuse - # Ld = kd*(I/r^2)max(0, nxl) - direction_to_lights = vertices[np.newaxis, :, :] - light_positions[:, np.newaxis, :] # [nlight, nver, 3] - direction_to_lights_n = np.sqrt(np.sum(direction_to_lights**2, axis = 2)) # [nlight, nver] - direction_to_lights = direction_to_lights/direction_to_lights_n[:, :, np.newaxis] - normals_dot_lights = normals[np.newaxis, :, :]*direction_to_lights # [nlight, nver, 3] - normals_dot_lights = np.sum(normals_dot_lights, axis = 2) # [nlight, nver] - diffuse_output = colors[np.newaxis, :, :]*normals_dot_lights[:, :, np.newaxis]*light_intensities[:, np.newaxis, :] - diffuse_output = np.sum(diffuse_output, axis = 0) # [nver, 3] - - # specular - # h = (v + l)/(|v + l|) bisector - # Ls = ks*(I/r^2)max(0, nxh)^p - # increasing p narrows the reflectionlob - - lit_colors = diffuse_output # only diffuse part here. - lit_colors = np.minimum(np.maximum(lit_colors, 0), 1) - return lit_colors - - - -## TODO. estimate light(sh coeff) -## -------------------------------- estimate. can not use now. -def fit_light(image, vertices, colors, triangles, vis_ind, lamb = 10, max_iter = 3): - [h, w, c] = image.shape - - # surface normal - norm = get_normal(vertices, triangles) - - nver = vertices.shape[1] - - # vertices --> corresponding image pixel - pt2d = vertices[:2, :] - - pt2d[0,:] = np.minimum(np.maximum(pt2d[0,:], 0), w - 1) - pt2d[1,:] = np.minimum(np.maximum(pt2d[1,:], 0), h - 1) - pt2d = np.round(pt2d).astype(np.int32) # 2 x nver - - image_pixel = image[pt2d[1,:], pt2d[0,:], :] # nver x 3 - image_pixel = image_pixel.T # 3 x nver - - # vertices --> corresponding mean texture pixel with illumination - # Spherical Harmonic Basis - harmonic_dim = 9 - nx = norm[0,:]; - ny = norm[1,:]; - nz = norm[2,:]; - harmonic = np.zeros((nver, harmonic_dim)) - - pi = np.pi - harmonic[:,0] = np.sqrt(1/(4*pi)) * np.ones((nver,)); - harmonic[:,1] = np.sqrt(3/(4*pi)) * nx; - harmonic[:,2] = np.sqrt(3/(4*pi)) * ny; - harmonic[:,3] = np.sqrt(3/(4*pi)) * nz; - harmonic[:,4] = 1/2. * np.sqrt(3/(4*pi)) * (2*nz**2 - nx**2 - ny**2); - harmonic[:,5] = 3 * np.sqrt(5/(12*pi)) * (ny*nz); - harmonic[:,6] = 3 * np.sqrt(5/(12*pi)) * (nx*nz); - harmonic[:,7] = 3 * np.sqrt(5/(12*pi)) * (nx*ny); - harmonic[:,8] = 3/2. * np.sqrt(5/(12*pi)) * (nx*nx - ny*ny); - - ''' - I' = sum(albedo * lj * hj) j = 0:9 (albedo = tex) - set A = albedo*h (n x 9) - alpha = lj (9 x 1) - Y = I (n x 1) - Y' = A.dot(alpha) - - opt function: - ||Y - A*alpha|| + lambda*(alpha'*alpha) - result: - A'*(Y - A*alpha) + lambda*alpha = 0 - ==> - (A'*A*alpha - lambda)*alpha = A'*Y - left: 9 x 9 - right: 9 x 1 - ''' - n_vis_ind = len(vis_ind) - n = n_vis_ind*c - - Y = np.zeros((n, 1)) - A = np.zeros((n, 9)) - light = np.zeros((3, 1)) - - for k in range(c): - Y[k*n_vis_ind:(k+1)*n_vis_ind, :] = image_pixel[k, vis_ind][:, np.newaxis] - A[k*n_vis_ind:(k+1)*n_vis_ind, :] = texture[k, vis_ind][:, np.newaxis] * harmonic[vis_ind, :] - Ac = texture[k, vis_ind][:, np.newaxis] - Yc = image_pixel[k, vis_ind][:, np.newaxis] - light[k] = (Ac.T.dot(Yc))/(Ac.T.dot(Ac)) - - for i in range(max_iter): - - Yc = Y.copy() - for k in range(c): - Yc[k*n_vis_ind:(k+1)*n_vis_ind, :] /= light[k] - - # update alpha - equation_left = np.dot(A.T, A) + lamb*np.eye(harmonic_dim); # why + ? - equation_right = np.dot(A.T, Yc) - alpha = np.dot(np.linalg.inv(equation_left), equation_right) - - # update light - for k in range(c): - Ac = A[k*n_vis_ind:(k+1)*n_vis_ind, :].dot(alpha) - Yc = Y[k*n_vis_ind:(k+1)*n_vis_ind, :] - light[k] = (Ac.T.dot(Yc))/(Ac.T.dot(Ac)) - - appearance = np.zeros_like(texture) - for k in range(c): - tmp = np.dot(harmonic*texture[k, :][:, np.newaxis], alpha*light[k]) - appearance[k,:] = tmp.T - - appearance = np.minimum(np.maximum(appearance, 0), 1) - - return appearance - diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/render.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/render.py deleted file mode 100644 index eb0d92d31ee98dd17cffc9dd67180107f52340f2..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/render.py +++ /dev/null @@ -1,287 +0,0 @@ -''' -functions about rendering mesh(from 3d obj to 2d image). -only use rasterization render here. -Note that: -1. Generally, render func includes camera, light, raterize. Here no camera and light(I write these in other files) -2. Generally, the input vertices are normalized to [-1,1] and cetered on [0, 0]. (in world space) - Here, the vertices are using image coords, which centers on [w/2, h/2] with the y-axis pointing to oppisite direction. -Means: render here only conducts interpolation.(I just want to make the input flexible) - -Preparation knowledge: -z-buffer: https://cs184.eecs.berkeley.edu/lecture/pipeline - -Author: Yao Feng -Mail: yaofeng1995@gmail.com -''' -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -from time import time - -def isPointInTri(point, tri_points): - ''' Judge whether the point is in the triangle - Method: - http://blackpawn.com/texts/pointinpoly/ - Args: - point: (2,). [u, v] or [x, y] - tri_points: (3 vertices, 2 coords). three vertices(2d points) of a triangle. - Returns: - bool: true for in triangle - ''' - tp = tri_points - - # vectors - v0 = tp[2,:] - tp[0,:] - v1 = tp[1,:] - tp[0,:] - v2 = point - tp[0,:] - - # dot products - dot00 = np.dot(v0.T, v0) - dot01 = np.dot(v0.T, v1) - dot02 = np.dot(v0.T, v2) - dot11 = np.dot(v1.T, v1) - dot12 = np.dot(v1.T, v2) - - # barycentric coordinates - if dot00*dot11 - dot01*dot01 == 0: - inverDeno = 0 - else: - inverDeno = 1/(dot00*dot11 - dot01*dot01) - - u = (dot11*dot02 - dot01*dot12)*inverDeno - v = (dot00*dot12 - dot01*dot02)*inverDeno - - # check if point in triangle - return (u >= 0) & (v >= 0) & (u + v < 1) - -def get_point_weight(point, tri_points): - ''' Get the weights of the position - Methods: https://gamedev.stackexchange.com/questions/23743/whats-the-most-efficient-way-to-find-barycentric-coordinates - -m1.compute the area of the triangles formed by embedding the point P inside the triangle - -m2.Christer Ericson's book "Real-Time Collision Detection". faster.(used) - Args: - point: (2,). [u, v] or [x, y] - tri_points: (3 vertices, 2 coords). three vertices(2d points) of a triangle. - Returns: - w0: weight of v0 - w1: weight of v1 - w2: weight of v3 - ''' - tp = tri_points - # vectors - v0 = tp[2,:] - tp[0,:] - v1 = tp[1,:] - tp[0,:] - v2 = point - tp[0,:] - - # dot products - dot00 = np.dot(v0.T, v0) - dot01 = np.dot(v0.T, v1) - dot02 = np.dot(v0.T, v2) - dot11 = np.dot(v1.T, v1) - dot12 = np.dot(v1.T, v2) - - # barycentric coordinates - if dot00*dot11 - dot01*dot01 == 0: - inverDeno = 0 - else: - inverDeno = 1/(dot00*dot11 - dot01*dot01) - - u = (dot11*dot02 - dot01*dot12)*inverDeno - v = (dot00*dot12 - dot01*dot02)*inverDeno - - w0 = 1 - u - v - w1 = v - w2 = u - - return w0, w1, w2 - -def rasterize_triangles(vertices, triangles, h, w): - ''' - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - h: height - w: width - Returns: - depth_buffer: [h, w] saves the depth, here, the bigger the z, the fronter the point. - triangle_buffer: [h, w] saves the tri id(-1 for no triangle). - barycentric_weight: [h, w, 3] saves corresponding barycentric weight. - - # Each triangle has 3 vertices & Each vertex has 3 coordinates x, y, z. - # h, w is the size of rendering - ''' - # initial - depth_buffer = np.zeros([h, w]) - 999999. #+ np.min(vertices[2,:]) - 999999. # set the initial z to the farest position - triangle_buffer = np.zeros([h, w], dtype = np.int32) - 1 # if tri id = -1, the pixel has no triangle correspondance - barycentric_weight = np.zeros([h, w, 3], dtype = np.float32) # - - for i in range(triangles.shape[0]): - tri = triangles[i, :] # 3 vertex indices - - # the inner bounding box - umin = max(int(np.ceil(np.min(vertices[tri, 0]))), 0) - umax = min(int(np.floor(np.max(vertices[tri, 0]))), w-1) - - vmin = max(int(np.ceil(np.min(vertices[tri, 1]))), 0) - vmax = min(int(np.floor(np.max(vertices[tri, 1]))), h-1) - - if umax depth_buffer[v, u]: - depth_buffer[v, u] = point_depth - triangle_buffer[v, u] = i - barycentric_weight[v, u, :] = np.array([w0, w1, w2]) - - return depth_buffer, triangle_buffer, barycentric_weight - - -def render_colors_ras(vertices, triangles, colors, h, w, c = 3): - ''' render mesh with colors(rasterize triangle first) - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - colors: [nver, 3] - h: height - w: width - c: channel - Returns: - image: [h, w, c]. rendering. - ''' - assert vertices.shape[0] == colors.shape[0] - - depth_buffer, triangle_buffer, barycentric_weight = rasterize_triangles(vertices, triangles, h, w) - - triangle_buffer_flat = np.reshape(triangle_buffer, [-1]) # [h*w] - barycentric_weight_flat = np.reshape(barycentric_weight, [-1, c]) #[h*w, c] - weight = barycentric_weight_flat[:, :, np.newaxis] # [h*w, 3(ver in tri), 1] - - colors_flat = colors[triangles[triangle_buffer_flat, :], :] # [h*w(tri id in pixel), 3(ver in tri), c(color in ver)] - colors_flat = weight*colors_flat # [h*w, 3, 3] - colors_flat = np.sum(colors_flat, 1) #[h*w, 3]. add tri. - - image = np.reshape(colors_flat, [h, w, c]) - # mask = (triangle_buffer[:,:] > -1).astype(np.float32) - # image = image*mask[:,:,np.newaxis] - return image - - -def render_colors(vertices, triangles, colors, h, w, c = 3): - ''' render mesh with colors - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - colors: [nver, 3] - h: height - w: width - Returns: - image: [h, w, c]. - ''' - assert vertices.shape[0] == colors.shape[0] - - # initial - image = np.zeros((h, w, c)) - depth_buffer = np.zeros([h, w]) - 999999. - - for i in range(triangles.shape[0]): - tri = triangles[i, :] # 3 vertex indices - - # the inner bounding box - umin = max(int(np.ceil(np.min(vertices[tri, 0]))), 0) - umax = min(int(np.floor(np.max(vertices[tri, 0]))), w-1) - - vmin = max(int(np.ceil(np.min(vertices[tri, 1]))), 0) - vmax = min(int(np.floor(np.max(vertices[tri, 1]))), h-1) - - if umax depth_buffer[v, u]: - depth_buffer[v, u] = point_depth - image[v, u, :] = w0*colors[tri[0], :] + w1*colors[tri[1], :] + w2*colors[tri[2], :] - return image - - -def render_texture(vertices, triangles, texture, tex_coords, tex_triangles, h, w, c = 3, mapping_type = 'nearest'): - ''' render mesh with texture map - Args: - vertices: [nver], 3 - triangles: [ntri, 3] - texture: [tex_h, tex_w, 3] - tex_coords: [ntexcoords, 3] - tex_triangles: [ntri, 3] - h: height of rendering - w: width of rendering - c: channel - mapping_type: 'bilinear' or 'nearest' - ''' - assert triangles.shape[0] == tex_triangles.shape[0] - tex_h, tex_w, _ = texture.shape - - # initial - image = np.zeros((h, w, c)) - depth_buffer = np.zeros([h, w]) - 999999. - - for i in range(triangles.shape[0]): - tri = triangles[i, :] # 3 vertex indices - tex_tri = tex_triangles[i, :] # 3 tex indice - - # the inner bounding box - umin = max(int(np.ceil(np.min(vertices[tri, 0]))), 0) - umax = min(int(np.floor(np.max(vertices[tri, 0]))), w-1) - - vmin = max(int(np.ceil(np.min(vertices[tri, 1]))), 0) - vmax = min(int(np.floor(np.max(vertices[tri, 1]))), h-1) - - if umax depth_buffer[v, u]: - # update depth - depth_buffer[v, u] = point_depth - - # tex coord - tex_xy = w0*tex_coords[tex_tri[0], :] + w1*tex_coords[tex_tri[1], :] + w2*tex_coords[tex_tri[2], :] - tex_xy[0] = max(min(tex_xy[0], float(tex_w - 1)), 0.0); - tex_xy[1] = max(min(tex_xy[1], float(tex_h - 1)), 0.0); - - # nearest - if mapping_type == 'nearest': - tex_xy = np.round(tex_xy).astype(np.int32) - tex_value = texture[tex_xy[1], tex_xy[0], :] - - # bilinear - elif mapping_type == 'bilinear': - # next 4 pixels - ul = texture[int(np.floor(tex_xy[1])), int(np.floor(tex_xy[0])), :] - ur = texture[int(np.floor(tex_xy[1])), int(np.ceil(tex_xy[0])), :] - dl = texture[int(np.ceil(tex_xy[1])), int(np.floor(tex_xy[0])), :] - dr = texture[int(np.ceil(tex_xy[1])), int(np.ceil(tex_xy[0])), :] - - yd = tex_xy[1] - np.floor(tex_xy[1]) - xd = tex_xy[0] - np.floor(tex_xy[0]) - tex_value = ul*(1-xd)*(1-yd) + ur*xd*(1-yd) + dl*(1-xd)*yd + dr*xd*yd - - image[v, u, :] = tex_value - return image \ No newline at end of file diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/transform.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/transform.py deleted file mode 100644 index ab56e370ce6218650b4fa7cd6f503e3ac73be854..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/transform.py +++ /dev/null @@ -1,385 +0,0 @@ -''' -Functions about transforming mesh(changing the position: modify vertices). -1. forward: transform(transform, camera, project). -2. backward: estimate transform matrix from correspondences. - -Preparation knowledge: -transform&camera model: -https://cs184.eecs.berkeley.edu/lecture/transforms-2 -Part I: camera geometry and single view geometry in MVGCV -''' - -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -import math -from math import cos, sin - -def angle2matrix(angles): - ''' get rotation matrix from three rotation angles(degree). right-handed. - Args: - angles: [3,]. x, y, z angles - x: pitch. positive for looking down. - y: yaw. positive for looking left. - z: roll. positive for tilting head right. - Returns: - R: [3, 3]. rotation matrix. - ''' - x, y, z = np.deg2rad(angles[0]), np.deg2rad(angles[1]), np.deg2rad(angles[2]) - # x - Rx=np.array([[1, 0, 0], - [0, cos(x), -sin(x)], - [0, sin(x), cos(x)]]) - # y - Ry=np.array([[ cos(y), 0, sin(y)], - [ 0, 1, 0], - [-sin(y), 0, cos(y)]]) - # z - Rz=np.array([[cos(z), -sin(z), 0], - [sin(z), cos(z), 0], - [ 0, 0, 1]]) - - R=Rz.dot(Ry.dot(Rx)) - return R.astype(np.float32) - -def angle2matrix_3ddfa(angles): - ''' get rotation matrix from three rotation angles(radian). The same as in 3DDFA. - Args: - angles: [3,]. x, y, z angles - x: pitch. - y: yaw. - z: roll. - Returns: - R: 3x3. rotation matrix. - ''' - # x, y, z = np.deg2rad(angles[0]), np.deg2rad(angles[1]), np.deg2rad(angles[2]) - x, y, z = angles[0], angles[1], angles[2] - - # x - Rx=np.array([[1, 0, 0], - [0, cos(x), sin(x)], - [0, -sin(x), cos(x)]]) - # y - Ry=np.array([[ cos(y), 0, -sin(y)], - [ 0, 1, 0], - [sin(y), 0, cos(y)]]) - # z - Rz=np.array([[cos(z), sin(z), 0], - [-sin(z), cos(z), 0], - [ 0, 0, 1]]) - R = Rx.dot(Ry).dot(Rz) - return R.astype(np.float32) - - -## ------------------------------------------ 1. transform(transform, project, camera). -## ---------- 3d-3d transform. Transform obj in world space -def rotate(vertices, angles): - ''' rotate vertices. - X_new = R.dot(X). X: 3 x 1 - Args: - vertices: [nver, 3]. - rx, ry, rz: degree angles - rx: pitch. positive for looking down - ry: yaw. positive for looking left - rz: roll. positive for tilting head right - Returns: - rotated vertices: [nver, 3] - ''' - R = angle2matrix(angles) - rotated_vertices = vertices.dot(R.T) - - return rotated_vertices - -def similarity_transform(vertices, s, R, t3d): - ''' similarity transform. dof = 7. - 3D: s*R.dot(X) + t - Homo: M = [[sR, t],[0^T, 1]]. M.dot(X) - Args:(float32) - vertices: [nver, 3]. - s: [1,]. scale factor. - R: [3,3]. rotation matrix. - t3d: [3,]. 3d translation vector. - Returns: - transformed vertices: [nver, 3] - ''' - t3d = np.squeeze(np.array(t3d, dtype = np.float32)) - transformed_vertices = s * vertices.dot(R.T) + t3d[np.newaxis, :] - - return transformed_vertices - - -## -------------- Camera. from world space to camera space -# Ref: https://cs184.eecs.berkeley.edu/lecture/transforms-2 -def normalize(x): - epsilon = 1e-12 - norm = np.sqrt(np.sum(x**2, axis = 0)) - norm = np.maximum(norm, epsilon) - return x/norm - -def lookat_camera(vertices, eye, at = None, up = None): - """ 'look at' transformation: from world space to camera space - standard camera space: - camera located at the origin. - looking down negative z-axis. - vertical vector is y-axis. - Xcam = R(X - C) - Homo: [[R, -RC], [0, 1]] - Args: - vertices: [nver, 3] - eye: [3,] the XYZ world space position of the camera. - at: [3,] a position along the center of the camera's gaze. - up: [3,] up direction - Returns: - transformed_vertices: [nver, 3] - """ - if at is None: - at = np.array([0, 0, 0], np.float32) - if up is None: - up = np.array([0, 1, 0], np.float32) - - eye = np.array(eye).astype(np.float32) - at = np.array(at).astype(np.float32) - z_aixs = -normalize(at - eye) # look forward - x_aixs = normalize(np.cross(up, z_aixs)) # look right - y_axis = np.cross(z_aixs, x_aixs) # look up - - R = np.stack((x_aixs, y_axis, z_aixs))#, axis = 0) # 3 x 3 - transformed_vertices = vertices - eye # translation - transformed_vertices = transformed_vertices.dot(R.T) # rotation - return transformed_vertices - -## --------- 3d-2d project. from camera space to image plane -# generally, image plane only keeps x,y channels, here reserve z channel for calculating z-buffer. -def orthographic_project(vertices): - ''' scaled orthographic projection(just delete z) - assumes: variations in depth over the object is small relative to the mean distance from camera to object - x -> x*f/z, y -> x*f/z, z -> f. - for point i,j. zi~=zj. so just delete z - ** often used in face - Homo: P = [[1,0,0,0], [0,1,0,0], [0,0,1,0]] - Args: - vertices: [nver, 3] - Returns: - projected_vertices: [nver, 3] if isKeepZ=True. [nver, 2] if isKeepZ=False. - ''' - return vertices.copy() - -def perspective_project(vertices, fovy, aspect_ratio = 1., near = 0.1, far = 1000.): - ''' perspective projection. - Args: - vertices: [nver, 3] - fovy: vertical angular field of view. degree. - aspect_ratio : width / height of field of view - near : depth of near clipping plane - far : depth of far clipping plane - Returns: - projected_vertices: [nver, 3] - ''' - fovy = np.deg2rad(fovy) - top = near*np.tan(fovy) - bottom = -top - right = top*aspect_ratio - left = -right - - #-- homo - P = np.array([[near/right, 0, 0, 0], - [0, near/top, 0, 0], - [0, 0, -(far+near)/(far-near), -2*far*near/(far-near)], - [0, 0, -1, 0]]) - vertices_homo = np.hstack((vertices, np.ones((vertices.shape[0], 1)))) # [nver, 4] - projected_vertices = vertices_homo.dot(P.T) - projected_vertices = projected_vertices/projected_vertices[:,3:] - projected_vertices = projected_vertices[:,:3] - projected_vertices[:,2] = -projected_vertices[:,2] - - #-- non homo. only fovy - # projected_vertices = vertices.copy() - # projected_vertices[:,0] = -(near/right)*vertices[:,0]/vertices[:,2] - # projected_vertices[:,1] = -(near/top)*vertices[:,1]/vertices[:,2] - return projected_vertices - - -def to_image(vertices, h, w, is_perspective = False): - ''' change vertices to image coord system - 3d system: XYZ, center(0, 0, 0) - 2d image: x(u), y(v). center(w/2, h/2), flip y-axis. - Args: - vertices: [nver, 3] - h: height of the rendering - w : width of the rendering - Returns: - projected_vertices: [nver, 3] - ''' - image_vertices = vertices.copy() - if is_perspective: - # if perspective, the projected vertices are normalized to [-1, 1]. so change it to image size first. - image_vertices[:,0] = image_vertices[:,0]*w/2 - image_vertices[:,1] = image_vertices[:,1]*h/2 - # move to center of image - image_vertices[:,0] = image_vertices[:,0] + w/2 - image_vertices[:,1] = image_vertices[:,1] + h/2 - # flip vertices along y-axis. - image_vertices[:,1] = h - image_vertices[:,1] - 1 - return image_vertices - - -#### -------------------------------------------2. estimate transform matrix from correspondences. -def estimate_affine_matrix_3d23d(X, Y): - ''' Using least-squares solution - Args: - X: [n, 3]. 3d points(fixed) - Y: [n, 3]. corresponding 3d points(moving). Y = PX - Returns: - P_Affine: (3, 4). Affine camera matrix (the third row is [0, 0, 0, 1]). - ''' - X_homo = np.hstack((X, np.ones([X.shape[1],1]))) #n x 4 - P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4 - return P - -def estimate_affine_matrix_3d22d(X, x): - ''' Using Golden Standard Algorithm for estimating an affine camera - matrix P from world to image correspondences. - See Alg.7.2. in MVGCV - Code Ref: https://github.com/patrikhuber/eos/blob/master/include/eos/fitting/affine_camera_estimation.hpp - x_homo = X_homo.dot(P_Affine) - Args: - X: [n, 3]. corresponding 3d points(fixed) - x: [n, 2]. n>=4. 2d points(moving). x = PX - Returns: - P_Affine: [3, 4]. Affine camera matrix - ''' - X = X.T; x = x.T - assert(x.shape[1] == X.shape[1]) - n = x.shape[1] - assert(n >= 4) - - #--- 1. normalization - # 2d points - mean = np.mean(x, 1) # (2,) - x = x - np.tile(mean[:, np.newaxis], [1, n]) - average_norm = np.mean(np.sqrt(np.sum(x**2, 0))) - scale = np.sqrt(2) / average_norm - x = scale * x - - T = np.zeros((3,3), dtype = np.float32) - T[0, 0] = T[1, 1] = scale - T[:2, 2] = -mean*scale - T[2, 2] = 1 - - # 3d points - X_homo = np.vstack((X, np.ones((1, n)))) - mean = np.mean(X, 1) # (3,) - X = X - np.tile(mean[:, np.newaxis], [1, n]) - m = X_homo[:3,:] - X - average_norm = np.mean(np.sqrt(np.sum(X**2, 0))) - scale = np.sqrt(3) / average_norm - X = scale * X - - U = np.zeros((4,4), dtype = np.float32) - U[0, 0] = U[1, 1] = U[2, 2] = scale - U[:3, 3] = -mean*scale - U[3, 3] = 1 - - # --- 2. equations - A = np.zeros((n*2, 8), dtype = np.float32); - X_homo = np.vstack((X, np.ones((1, n)))).T - A[:n, :4] = X_homo - A[n:, 4:] = X_homo - b = np.reshape(x, [-1, 1]) - - # --- 3. solution - p_8 = np.linalg.pinv(A).dot(b) - P = np.zeros((3, 4), dtype = np.float32) - P[0, :] = p_8[:4, 0] - P[1, :] = p_8[4:, 0] - P[-1, -1] = 1 - - # --- 4. denormalization - P_Affine = np.linalg.inv(T).dot(P.dot(U)) - return P_Affine - -def P2sRt(P): - ''' decompositing camera matrix P - Args: - P: (3, 4). Affine Camera Matrix. - Returns: - s: scale factor. - R: (3, 3). rotation matrix. - t: (3,). translation. - ''' - t = P[:, 3] - R1 = P[0:1, :3] - R2 = P[1:2, :3] - s = (np.linalg.norm(R1) + np.linalg.norm(R2))/2.0 - r1 = R1/np.linalg.norm(R1) - r2 = R2/np.linalg.norm(R2) - r3 = np.cross(r1, r2) - - R = np.concatenate((r1, r2, r3), 0) - return s, R, t - -#Ref: https://www.learnopencv.com/rotation-matrix-to-euler-angles/ -def isRotationMatrix(R): - ''' checks if a matrix is a valid rotation matrix(whether orthogonal or not) - ''' - Rt = np.transpose(R) - shouldBeIdentity = np.dot(Rt, R) - I = np.identity(3, dtype = R.dtype) - n = np.linalg.norm(I - shouldBeIdentity) - return n < 1e-6 - -def matrix2angle(R): - ''' get three Euler angles from Rotation Matrix - Args: - R: (3,3). rotation matrix - Returns: - x: pitch - y: yaw - z: roll - ''' - assert(isRotationMatrix) - sy = math.sqrt(R[0,0] * R[0,0] + R[1,0] * R[1,0]) - - singular = sy < 1e-6 - - if not singular : - x = math.atan2(R[2,1] , R[2,2]) - y = math.atan2(-R[2,0], sy) - z = math.atan2(R[1,0], R[0,0]) - else : - x = math.atan2(-R[1,2], R[1,1]) - y = math.atan2(-R[2,0], sy) - z = 0 - - # rx, ry, rz = np.rad2deg(x), np.rad2deg(y), np.rad2deg(z) - rx, ry, rz = x*180/np.pi, y*180/np.pi, z*180/np.pi - return rx, ry, rz - -# def matrix2angle(R): -# ''' compute three Euler angles from a Rotation Matrix. Ref: http://www.gregslabaugh.net/publications/euler.pdf -# Args: -# R: (3,3). rotation matrix -# Returns: -# x: yaw -# y: pitch -# z: roll -# ''' -# # assert(isRotationMatrix(R)) - -# if R[2,0] !=1 or R[2,0] != -1: -# x = math.asin(R[2,0]) -# y = math.atan2(R[2,1]/cos(x), R[2,2]/cos(x)) -# z = math.atan2(R[1,0]/cos(x), R[0,0]/cos(x)) - -# else:# Gimbal lock -# z = 0 #can be anything -# if R[2,0] == -1: -# x = np.pi/2 -# y = z + math.atan2(R[0,1], R[0,2]) -# else: -# x = -np.pi/2 -# y = -z + math.atan2(-R[0,1], -R[0,2]) - -# return x, y, z \ No newline at end of file diff --git a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/vis.py b/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/vis.py deleted file mode 100644 index 9db972f2c463a310fa4abde16d6a7baf02797c90..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/mesh_numpy/vis.py +++ /dev/null @@ -1,24 +0,0 @@ -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -import matplotlib.pyplot as plt -from skimage import measure -from mpl_toolkits.mplot3d import Axes3D - -def plot_mesh(vertices, triangles, subplot = [1,1,1], title = 'mesh', el = 90, az = -90, lwdt=.1, dist = 6, color = "grey"): - ''' - plot the mesh - Args: - vertices: [nver, 3] - triangles: [ntri, 3] - ''' - ax = plt.subplot(subplot[0], subplot[1], subplot[2], projection = '3d') - ax.plot_trisurf(vertices[:, 0], vertices[:, 1], vertices[:, 2], triangles = triangles, lw = lwdt, color = color, alpha = 1) - ax.axis("off") - ax.view_init(elev = el, azim = az) - ax.dist = dist - plt.title(title) - -### -------------- Todo: use vtk to visualize mesh? or visvis? or VisPy? diff --git a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/__init__.py b/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/__init__.py deleted file mode 100644 index 19fc6a60231fc08fa728059bfc88db82703b0475..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/__init__.py +++ /dev/null @@ -1,7 +0,0 @@ -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -from .. import mesh -from .morphabel_model import MorphabelModel -from . import load \ No newline at end of file diff --git a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index 2467f01e46915687c2b1fa777fa5df7ee8c9eae5..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/__pycache__/__init__.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/__pycache__/fit.cpython-39.pyc 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b/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/__pycache__/morphabel_model.cpython-39.pyc deleted file mode 100644 index 4d63c793446094920f9a7a58ba918bcb99179f22..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/__pycache__/morphabel_model.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/fit.py b/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/fit.py deleted file mode 100644 index 480532c57c1c2824e0652be29d719a22b0ee871a..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/fit.py +++ /dev/null @@ -1,272 +0,0 @@ -''' -Estimating parameters about vertices: shape para, exp para, pose para(s, R, t) -''' -import numpy as np -from .. import mesh - -''' TODO: a clear document. -Given: image_points, 3D Model, Camera Matrix(s, R, t2d) -Estimate: shape parameters, expression parameters - -Inference: - - projected_vertices = s*P*R(mu + shape + exp) + t2d --> image_points - s*P*R*shape + s*P*R(mu + exp) + t2d --> image_poitns - - # Define: - X = vertices - x_hat = projected_vertices - x = image_points - A = s*P*R - b = s*P*R(mu + exp) + t2d - ==> - x_hat = A*shape + b (2 x n) - - A*shape (2 x n) - shape = reshape(shapePC * sp) (3 x n) - shapePC*sp : (3n x 1) - - * flatten: - x_hat_flatten = A*shape + b_flatten (2n x 1) - A*shape (2n x 1) - --> A*shapePC (2n x 199) sp: 199 x 1 - - # Define: - pc_2d = A* reshape(shapePC) - pc_2d_flatten = flatten(pc_2d) (2n x 199) - - =====> - x_hat_flatten = pc_2d_flatten * sp + b_flatten ---> x_flatten (2n x 1) - - Goals: - (ignore flatten, pc_2d-->pc) - min E = || x_hat - x || + lambda*sum(sp/sigma)^2 - = || pc * sp + b - x || + lambda*sum(sp/sigma)^2 - - Solve: - d(E)/d(sp) = 0 - 2 * pc' * (pc * sp + b - x) + 2 * lambda * sp / (sigma' * sigma) = 0 - - Get: - (pc' * pc + lambda / (sigma'* sigma)) * sp = pc' * (x - b) - -''' - -def estimate_shape(x, shapeMU, shapePC, shapeEV, expression, s, R, t2d, lamb = 3000): - ''' - Args: - x: (2, n). image points (to be fitted) - shapeMU: (3n, 1) - shapePC: (3n, n_sp) - shapeEV: (n_sp, 1) - expression: (3, n) - s: scale - R: (3, 3). rotation matrix - t2d: (2,). 2d translation - lambda: regulation coefficient - - Returns: - shape_para: (n_sp, 1) shape parameters(coefficients) - ''' - x = x.copy() - assert(shapeMU.shape[0] == shapePC.shape[0]) - assert(shapeMU.shape[0] == x.shape[1]*3) - - dof = shapePC.shape[1] - - n = x.shape[1] - sigma = shapeEV - t2d = np.array(t2d) - P = np.array([[1, 0, 0], [0, 1, 0]], dtype = np.float32) - A = s*P.dot(R) - - # --- calc pc - pc_3d = np.resize(shapePC.T, [dof, n, 3]) # 199 x n x 3 - pc_3d = np.reshape(pc_3d, [dof*n, 3]) - pc_2d = pc_3d.dot(A.T.copy()) # 199 x n x 2 - - pc = np.reshape(pc_2d, [dof, -1]).T # 2n x 199 - - # --- calc b - # shapeMU - mu_3d = np.resize(shapeMU, [n, 3]).T # 3 x n - # expression - exp_3d = expression - # - b = A.dot(mu_3d + exp_3d) + np.tile(t2d[:, np.newaxis], [1, n]) # 2 x n - b = np.reshape(b.T, [-1, 1]) # 2n x 1 - - # --- solve - equation_left = np.dot(pc.T, pc) + lamb * np.diagflat(1/sigma**2) - x = np.reshape(x.T, [-1, 1]) - equation_right = np.dot(pc.T, x - b) - - shape_para = np.dot(np.linalg.inv(equation_left), equation_right) - - return shape_para - -def estimate_expression(x, shapeMU, expPC, expEV, shape, s, R, t2d, lamb = 2000): - ''' - Args: - x: (2, n). image points (to be fitted) - shapeMU: (3n, 1) - expPC: (3n, n_ep) - expEV: (n_ep, 1) - shape: (3, n) - s: scale - R: (3, 3). rotation matrix - t2d: (2,). 2d translation - lambda: regulation coefficient - - Returns: - exp_para: (n_ep, 1) shape parameters(coefficients) - ''' - x = x.copy() - assert(shapeMU.shape[0] == expPC.shape[0]) - assert(shapeMU.shape[0] == x.shape[1]*3) - - dof = expPC.shape[1] - - n = x.shape[1] - sigma = expEV - t2d = np.array(t2d) - P = np.array([[1, 0, 0], [0, 1, 0]], dtype = np.float32) - A = s*P.dot(R) - - # --- calc pc - pc_3d = np.resize(expPC.T, [dof, n, 3]) - pc_3d = np.reshape(pc_3d, [dof*n, 3]) - pc_2d = pc_3d.dot(A.T) - pc = np.reshape(pc_2d, [dof, -1]).T # 2n x 29 - - # --- calc b - # shapeMU - mu_3d = np.resize(shapeMU, [n, 3]).T # 3 x n - # expression - shape_3d = shape - # - b = A.dot(mu_3d + shape_3d) + np.tile(t2d[:, np.newaxis], [1, n]) # 2 x n - b = np.reshape(b.T, [-1, 1]) # 2n x 1 - - # --- solve - equation_left = np.dot(pc.T, pc) + lamb * np.diagflat(1/sigma**2) - x = np.reshape(x.T, [-1, 1]) - equation_right = np.dot(pc.T, x - b) - - exp_para = np.dot(np.linalg.inv(equation_left), equation_right) - - return exp_para - - -# ---------------- fit -def fit_points(x, X_ind, model, n_sp, n_ep, max_iter = 4): - ''' - Args: - x: (n, 2) image points - X_ind: (n,) corresponding Model vertex indices - model: 3DMM - max_iter: iteration - Returns: - sp: (n_sp, 1). shape parameters - ep: (n_ep, 1). exp parameters - s, R, t - ''' - x = x.copy().T - - #-- init - sp = np.zeros((n_sp, 1), dtype = np.float32) - ep = np.zeros((n_ep, 1), dtype = np.float32) - - #-------------------- estimate - X_ind_all = np.tile(X_ind[np.newaxis, :], [3, 1])*3 - X_ind_all[1, :] += 1 - X_ind_all[2, :] += 2 - valid_ind = X_ind_all.flatten('F') - - shapeMU = model['shapeMU'][valid_ind, :] - shapePC = model['shapePC'][valid_ind, :n_sp] - expPC = model['expPC'][valid_ind, :n_ep] - - for i in range(max_iter): - X = shapeMU + shapePC.dot(sp) + expPC.dot(ep) - X = np.reshape(X, [int(len(X)/3), 3]).T - - #----- estimate pose - P = mesh.transform.estimate_affine_matrix_3d22d(X.T, x.T) - s, R, t = mesh.transform.P2sRt(P) - rx, ry, rz = mesh.transform.matrix2angle(R) - #print('Iter:{}; estimated pose: s {}, rx {}, ry {}, rz {}, t1 {}, t2 {}'.format(i, s, rx, ry, rz, t[0], t[1])) - - #----- estimate shape - # expression - shape = shapePC.dot(sp) - shape = np.reshape(shape, [int(len(shape)/3), 3]).T - ep = estimate_expression(x, shapeMU, expPC, model['expEV'][:n_ep,:], shape, s, R, t[:2], lamb = 20) - - # shape - expression = expPC.dot(ep) - expression = np.reshape(expression, [int(len(expression)/3), 3]).T - if i == 0 : - sp = estimate_shape(x, shapeMU, shapePC, model['shapeEV'][:n_sp,:], expression, s, R, t[:2], lamb = 40) - - return sp, ep, s, R, t - - -# ---------------- fitting process -def fit_points_for_show(x, X_ind, model, n_sp, n_ep, max_iter = 4): - ''' - Args: - x: (n, 2) image points - X_ind: (n,) corresponding Model vertex indices - model: 3DMM - max_iter: iteration - Returns: - sp: (n_sp, 1). shape parameters - ep: (n_ep, 1). exp parameters - s, R, t - ''' - x = x.copy().T - - #-- init - sp = np.zeros((n_sp, 1), dtype = np.float32) - ep = np.zeros((n_ep, 1), dtype = np.float32) - - #-------------------- estimate - X_ind_all = np.tile(X_ind[np.newaxis, :], [3, 1])*3 - X_ind_all[1, :] += 1 - X_ind_all[2, :] += 2 - valid_ind = X_ind_all.flatten('F') - - shapeMU = model['shapeMU'][valid_ind, :] - shapePC = model['shapePC'][valid_ind, :n_sp] - expPC = model['expPC'][valid_ind, :n_ep] - - s = 4e-04 - R = mesh.transform.angle2matrix([0, 0, 0]) - t = [0, 0, 0] - lsp = []; lep = []; ls = []; lR = []; lt = [] - for i in range(max_iter): - X = shapeMU + shapePC.dot(sp) + expPC.dot(ep) - X = np.reshape(X, [int(len(X)/3), 3]).T - lsp.append(sp); lep.append(ep); ls.append(s), lR.append(R), lt.append(t) - - #----- estimate pose - P = mesh.transform.estimate_affine_matrix_3d22d(X.T, x.T) - s, R, t = mesh.transform.P2sRt(P) - lsp.append(sp); lep.append(ep); ls.append(s), lR.append(R), lt.append(t) - - #----- estimate shape - # expression - shape = shapePC.dot(sp) - shape = np.reshape(shape, [int(len(shape)/3), 3]).T - ep = estimate_expression(x, shapeMU, expPC, model['expEV'][:n_ep,:], shape, s, R, t[:2], lamb = 20) - lsp.append(sp); lep.append(ep); ls.append(s), lR.append(R), lt.append(t) - - # shape - expression = expPC.dot(ep) - expression = np.reshape(expression, [int(len(expression)/3), 3]).T - sp = estimate_shape(x, shapeMU, shapePC, model['shapeEV'][:n_sp,:], expression, s, R, t[:2], lamb = 40) - - # print('ls', ls) - # print('lR', lR) - return np.array(lsp), np.array(lep), np.array(ls), np.array(lR), np.array(lt) diff --git a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/load.py b/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/load.py deleted file mode 100644 index 0b80665bde45447139ec3a4c066a9677ce8322b0..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/load.py +++ /dev/null @@ -1,110 +0,0 @@ -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -import scipy.io as sio - -### --------------------------------- load BFM data -def load_BFM(model_path): - ''' load BFM 3DMM model - Args: - model_path: path to BFM model. - Returns: - model: (nver = 53215, ntri = 105840). nver: number of vertices. ntri: number of triangles. - 'shapeMU': [3*nver, 1] - 'shapePC': [3*nver, 199] - 'shapeEV': [199, 1] - 'expMU': [3*nver, 1] - 'expPC': [3*nver, 29] - 'expEV': [29, 1] - 'texMU': [3*nver, 1] - 'texPC': [3*nver, 199] - 'texEV': [199, 1] - 'tri': [ntri, 3] (start from 1, should sub 1 in python and c++) - 'tri_mouth': [114, 3] (start from 1, as a supplement to mouth triangles) - 'kpt_ind': [68,] (start from 1) - PS: - You can change codes according to your own saved data. - Just make sure the model has corresponding attributes. - ''' - C = sio.loadmat(model_path) - model = C['model'] - model = model[0,0] - - # change dtype from double(np.float64) to np.float32, - # since big matrix process(espetially matrix dot) is too slow in python. - model['shapeMU'] = (model['shapeMU'] + model['expMU']).astype(np.float32) - model['shapePC'] = model['shapePC'].astype(np.float32) - model['shapeEV'] = model['shapeEV'].astype(np.float32) - model['expEV'] = model['expEV'].astype(np.float32) - model['expPC'] = model['expPC'].astype(np.float32) - - # matlab start with 1. change to 0 in python. - model['tri'] = model['tri'].T.copy(order = 'C').astype(np.int32) - 1 - model['tri_mouth'] = model['tri_mouth'].T.copy(order = 'C').astype(np.int32) - 1 - - # kpt ind - model['kpt_ind'] = (np.squeeze(model['kpt_ind']) - 1).astype(np.int32) - - return model - -def load_BFM_info(path = 'BFM_info.mat'): - ''' load 3DMM model extra information - Args: - path: path to BFM info. - Returns: - model_info: - 'symlist': 2 x 26720 - 'symlist_tri': 2 x 52937 - 'segbin': 4 x n (0: nose, 1: eye, 2: mouth, 3: cheek) - 'segbin_tri': 4 x ntri - 'face_contour': 1 x 28 - 'face_contour_line': 1 x 512 - 'face_contour_front': 1 x 28 - 'face_contour_front_line': 1 x 512 - 'nose_hole': 1 x 142 - 'nose_hole_right': 1 x 71 - 'nose_hole_left': 1 x 71 - 'parallel': 17 x 1 cell - 'parallel_face_contour': 28 x 1 cell - 'uv_coords': n x 2 - ''' - C = sio.loadmat(path) - model_info = C['model_info'] - model_info = model_info[0,0] - return model_info - -def load_uv_coords(path = 'BFM_UV.mat'): - ''' load uv coords of BFM - Args: - path: path to data. - Returns: - uv_coords: [nver, 2]. range: 0-1 - ''' - C = sio.loadmat(path) - uv_coords = C['UV'].copy(order = 'C') - return uv_coords - -def load_pncc_code(path = 'pncc_code.mat'): - ''' load pncc code of BFM - PNCC code: Defined in 'Face Alignment Across Large Poses: A 3D Solution Xiangyu' - download at http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm. - Args: - path: path to data. - Returns: - pncc_code: [nver, 3] - ''' - C = sio.loadmat(path) - pncc_code = C['vertex_code'].T - return pncc_code - -## -def get_organ_ind(model_info): - ''' get nose, eye, mouth index - ''' - valid_bin = model_info['segbin'].astype(bool) - organ_ind = np.nonzero(valid_bin[0,:])[0] - for i in range(1, valid_bin.shape[0] - 1): - organ_ind = np.union1d(organ_ind, np.nonzero(valid_bin[i,:])[0]) - return organ_ind.astype(np.int32) diff --git a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/morphabel_model.py b/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/morphabel_model.py deleted file mode 100644 index abd677dacc76b93ee253114045b43c66a66bdc99..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/thirdparty/face3d/morphable_model/morphabel_model.py +++ /dev/null @@ -1,143 +0,0 @@ -from __future__ import absolute_import -from __future__ import division -from __future__ import print_function - -import numpy as np -import scipy.io as sio -from .. import mesh -from . import fit -from . import load - -class MorphabelModel(object): - """docstring for MorphabelModel - model: nver: number of vertices. ntri: number of triangles. *: must have. ~: can generate ones array for place holder. - 'shapeMU': [3*nver, 1]. * - 'shapePC': [3*nver, n_shape_para]. * - 'shapeEV': [n_shape_para, 1]. ~ - 'expMU': [3*nver, 1]. ~ - 'expPC': [3*nver, n_exp_para]. ~ - 'expEV': [n_exp_para, 1]. ~ - 'texMU': [3*nver, 1]. ~ - 'texPC': [3*nver, n_tex_para]. ~ - 'texEV': [n_tex_para, 1]. ~ - 'tri': [ntri, 3] (start from 1, should sub 1 in python and c++). * - 'tri_mouth': [114, 3] (start from 1, as a supplement to mouth triangles). ~ - 'kpt_ind': [68,] (start from 1). ~ - """ - def __init__(self, model_path, model_type = 'BFM'): - super( MorphabelModel, self).__init__() - if model_type=='BFM': - self.model = load.load_BFM(model_path) - else: - print('sorry, not support other 3DMM model now') - exit() - - # fixed attributes - self.nver = self.model['shapePC'].shape[0]/3 - self.ntri = self.model['tri'].shape[0] - self.n_shape_para = self.model['shapePC'].shape[1] - self.n_exp_para = self.model['expPC'].shape[1] - self.n_tex_para = self.model['texMU'].shape[1] - - self.kpt_ind = self.model['kpt_ind'] - self.triangles = self.model['tri'] - self.full_triangles = np.vstack((self.model['tri'], self.model['tri_mouth'])) - - # ------------------------------------- shape: represented with mesh(vertices & triangles(fixed)) - def get_shape_para(self, type = 'random'): - if type == 'zero': - sp = np.random.zeros((self.n_shape_para, 1)) - elif type == 'random': - sp = np.random.rand(self.n_shape_para, 1)*1e04 - return sp - - def get_exp_para(self, type = 'random'): - if type == 'zero': - ep = np.zeros((self.n_exp_para, 1)) - elif type == 'random': - ep = -1.5 + 3*np.random.random([self.n_exp_para, 1]) - ep[6:, 0] = 0 - - return ep - - def generate_vertices(self, shape_para, exp_para): - ''' - Args: - shape_para: (n_shape_para, 1) - exp_para: (n_exp_para, 1) - Returns: - vertices: (nver, 3) - ''' - vertices = self.model['shapeMU'] + self.model['shapePC'].dot(shape_para) + self.model['expPC'].dot(exp_para) - vertices = np.reshape(vertices, [int(3), int(len(vertices)/3)], 'F').T - - return vertices - - # -------------------------------------- texture: here represented with rgb value(colors) in vertices. - def get_tex_para(self, type = 'random'): - if type == 'zero': - tp = np.zeros((self.n_tex_para, 1)) - elif type == 'random': - tp = np.random.rand(self.n_tex_para, 1) - return tp - - def generate_colors(self, tex_para): - ''' - Args: - tex_para: (n_tex_para, 1) - Returns: - colors: (nver, 3) - ''' - colors = self.model['texMU'] + self.model['texPC'].dot(tex_para*self.model['texEV']) - colors = np.reshape(colors, [int(3), int(len(colors)/3)], 'F').T/255. - - return colors - - - # ------------------------------------------- transformation - # ------------- transform - def rotate(self, vertices, angles): - ''' rotate face - Args: - vertices: [nver, 3] - angles: [3] x, y, z rotation angle(degree) - x: pitch. positive for looking down - y: yaw. positive for looking left - z: roll. positive for tilting head right - Returns: - vertices: rotated vertices - ''' - return mesh.transform.rotate(vertices, angles) - - def transform(self, vertices, s, angles, t3d): - R = mesh.transform.angle2matrix(angles) - return mesh.transform.similarity_transform(vertices, s, R, t3d) - - def transform_3ddfa(self, vertices, s, angles, t3d): # only used for processing 300W_LP data - R = mesh.transform.angle2matrix_3ddfa(angles) - return mesh.transform.similarity_transform(vertices, s, R, t3d) - - # --------------------------------------------------- fitting - def fit(self, x, X_ind, max_iter = 4, isShow = False): - ''' fit 3dmm & pose parameters - Args: - x: (n, 2) image points - X_ind: (n,) corresponding Model vertex indices - max_iter: iteration - isShow: whether to reserve middle results for show - Returns: - fitted_sp: (n_sp, 1). shape parameters - fitted_ep: (n_ep, 1). exp parameters - s, angles, t - ''' - if isShow: - fitted_sp, fitted_ep, s, R, t = fit.fit_points_for_show(x, X_ind, self.model, n_sp = self.n_shape_para, n_ep = self.n_exp_para, max_iter = max_iter) - angles = np.zeros((R.shape[0], 3)) - for i in range(R.shape[0]): - angles[i] = mesh.transform.matrix2angle(R[i]) - else: - fitted_sp, fitted_ep, s, R, t = fit.fit_points(x, X_ind, self.model, n_sp = self.n_shape_para, n_ep = self.n_exp_para, max_iter = max_iter) - angles = mesh.transform.matrix2angle(R) - return fitted_sp, fitted_ep, s, angles, t - - diff --git a/faceswapimg_data/insightface/utils/__init__.py b/faceswapimg_data/insightface/utils/__init__.py deleted file mode 100644 index d3ccb4e652e5e09aa7dba1d70b1d59ed26458fff..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/utils/__init__.py +++ /dev/null @@ -1,18 +0,0 @@ -from __future__ import absolute_import - -#from . import bbox -#from . import viz -#from . import random -#from . import metrics -#from . import parallel - -from .storage import download, ensure_available, download_onnx -from .filesystem import get_model_dir -from .filesystem import makedirs, try_import_dali -from .constant import * -#from .bbox import bbox_iou -#from .block import recursive_visit, set_lr_mult, freeze_bn -#from .lr_scheduler import LRSequential, LRScheduler -#from .plot_history import TrainingHistory -#from .export_helper import export_block -#from .sync_loader_helper import split_data, split_and_load diff --git a/faceswapimg_data/insightface/utils/__pycache__/__init__.cpython-310.pyc b/faceswapimg_data/insightface/utils/__pycache__/__init__.cpython-310.pyc deleted file mode 100644 index 83c7bdf53d2ce5051ee206a25855685aada3152e..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/utils/__pycache__/__init__.cpython-310.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/utils/__pycache__/__init__.cpython-39.pyc b/faceswapimg_data/insightface/utils/__pycache__/__init__.cpython-39.pyc deleted file mode 100644 index 96c001dd2817f95717526a96e94ad91d97636d93..0000000000000000000000000000000000000000 Binary files a/faceswapimg_data/insightface/utils/__pycache__/__init__.cpython-39.pyc and /dev/null differ diff --git a/faceswapimg_data/insightface/utils/__pycache__/constant.cpython-310.pyc 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-DEFAULT_MP_NAME = 'buffalo_l' - diff --git a/faceswapimg_data/insightface/utils/download.py b/faceswapimg_data/insightface/utils/download.py deleted file mode 100644 index 5cda84dede45b81dcd99161d87792b6c409fa279..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/utils/download.py +++ /dev/null @@ -1,95 +0,0 @@ -""" -This code file mainly comes from https://github.com/dmlc/gluon-cv/blob/master/gluoncv/utils/download.py -""" -import os -import hashlib -import requests -from tqdm import tqdm - - -def check_sha1(filename, sha1_hash): - """Check whether the sha1 hash of the file content matches the expected hash. - Parameters - ---------- - filename : str - Path to the file. - sha1_hash : str - Expected sha1 hash in hexadecimal digits. - Returns - ------- - bool - Whether the file content matches the expected hash. - """ - sha1 = hashlib.sha1() - with open(filename, 'rb') as f: - while True: - data = f.read(1048576) - if not data: - break - sha1.update(data) - - sha1_file = sha1.hexdigest() - l = min(len(sha1_file), len(sha1_hash)) - return sha1.hexdigest()[0:l] == sha1_hash[0:l] - - -def download_file(url, path=None, overwrite=False, sha1_hash=None): - """Download an given URL - Parameters - ---------- - url : str - URL to download - path : str, optional - Destination path to store downloaded file. By default stores to the - current directory with same name as in url. - overwrite : bool, optional - Whether to overwrite destination file if already exists. - sha1_hash : str, optional - Expected sha1 hash in hexadecimal digits. Will ignore existing file when hash is specified - but doesn't match. - Returns - ------- - str - The file path of the downloaded file. - """ - if path is None: - fname = url.split('/')[-1] - else: - path = os.path.expanduser(path) - if os.path.isdir(path): - fname = os.path.join(path, url.split('/')[-1]) - else: - fname = path - - if overwrite or not os.path.exists(fname) or ( - sha1_hash and not check_sha1(fname, sha1_hash)): - dirname = os.path.dirname(os.path.abspath(os.path.expanduser(fname))) - if not os.path.exists(dirname): - os.makedirs(dirname) - - print('Downloading %s from %s...' % (fname, url)) - r = requests.get(url, stream=True) - if r.status_code != 200: - raise RuntimeError("Failed downloading url %s" % url) - total_length = r.headers.get('content-length') - with open(fname, 'wb') as f: - if total_length is None: # no content length header - for chunk in r.iter_content(chunk_size=1024): - if chunk: # filter out keep-alive new chunks - f.write(chunk) - else: - total_length = int(total_length) - for chunk in tqdm(r.iter_content(chunk_size=1024), - total=int(total_length / 1024. + 0.5), - unit='KB', - unit_scale=False, - dynamic_ncols=True): - f.write(chunk) - - if sha1_hash and not check_sha1(fname, sha1_hash): - raise UserWarning('File {} is downloaded but the content hash does not match. ' \ - 'The repo may be outdated or download may be incomplete. ' \ - 'If the "repo_url" is overridden, consider switching to ' \ - 'the default repo.'.format(fname)) - - return fname diff --git a/faceswapimg_data/insightface/utils/face_align.py b/faceswapimg_data/insightface/utils/face_align.py deleted file mode 100644 index 226628b39cf743947df230feffbb97bf5c585e1d..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/utils/face_align.py +++ /dev/null @@ -1,103 +0,0 @@ -import cv2 -import numpy as np -from skimage import transform as trans - - -arcface_dst = np.array( - [[38.2946, 51.6963], [73.5318, 51.5014], [56.0252, 71.7366], - [41.5493, 92.3655], [70.7299, 92.2041]], - dtype=np.float32) - -def estimate_norm(lmk, image_size=112,mode='arcface'): - assert lmk.shape == (5, 2) - assert image_size%112==0 or image_size%128==0 - if image_size%112==0: - ratio = float(image_size)/112.0 - diff_x = 0 - else: - ratio = float(image_size)/128.0 - diff_x = 8.0*ratio - dst = arcface_dst * ratio - dst[:,0] += diff_x - tform = trans.SimilarityTransform() - tform.estimate(lmk, dst) - M = tform.params[0:2, :] - return M - -def norm_crop(img, landmark, image_size=112, mode='arcface'): - M = estimate_norm(landmark, image_size, mode) - warped = cv2.warpAffine(img, M, (image_size, image_size), borderValue=0.0) - return warped - -def norm_crop2(img, landmark, image_size=112, mode='arcface'): - M = estimate_norm(landmark, image_size, mode) - warped = cv2.warpAffine(img, M, (image_size, image_size), borderValue=0.0) - return warped, M - -def square_crop(im, S): - if im.shape[0] > im.shape[1]: - height = S - width = int(float(im.shape[1]) / im.shape[0] * S) - scale = float(S) / im.shape[0] - else: - width = S - height = int(float(im.shape[0]) / im.shape[1] * S) - scale = float(S) / im.shape[1] - resized_im = cv2.resize(im, (width, height)) - det_im = np.zeros((S, S, 3), dtype=np.uint8) - det_im[:resized_im.shape[0], :resized_im.shape[1], :] = resized_im - return det_im, scale - - -def transform(data, center, output_size, scale, rotation): - scale_ratio = scale - rot = float(rotation) * np.pi / 180.0 - #translation = (output_size/2-center[0]*scale_ratio, output_size/2-center[1]*scale_ratio) - t1 = trans.SimilarityTransform(scale=scale_ratio) - cx = center[0] * scale_ratio - cy = center[1] * scale_ratio - t2 = trans.SimilarityTransform(translation=(-1 * cx, -1 * cy)) - t3 = trans.SimilarityTransform(rotation=rot) - t4 = trans.SimilarityTransform(translation=(output_size / 2, - output_size / 2)) - t = t1 + t2 + t3 + t4 - M = t.params[0:2] - cropped = cv2.warpAffine(data, - M, (output_size, output_size), - borderValue=0.0) - return cropped, M - - -def trans_points2d(pts, M): - new_pts = np.zeros(shape=pts.shape, dtype=np.float32) - for i in range(pts.shape[0]): - pt = pts[i] - new_pt = np.array([pt[0], pt[1], 1.], dtype=np.float32) - new_pt = np.dot(M, new_pt) - #print('new_pt', new_pt.shape, new_pt) - new_pts[i] = new_pt[0:2] - - return new_pts - - -def trans_points3d(pts, M): - scale = np.sqrt(M[0][0] * M[0][0] + M[0][1] * M[0][1]) - #print(scale) - new_pts = np.zeros(shape=pts.shape, dtype=np.float32) - for i in range(pts.shape[0]): - pt = pts[i] - new_pt = np.array([pt[0], pt[1], 1.], dtype=np.float32) - new_pt = np.dot(M, new_pt) - #print('new_pt', new_pt.shape, new_pt) - new_pts[i][0:2] = new_pt[0:2] - new_pts[i][2] = pts[i][2] * scale - - return new_pts - - -def trans_points(pts, M): - if pts.shape[1] == 2: - return trans_points2d(pts, M) - else: - return trans_points3d(pts, M) - diff --git a/faceswapimg_data/insightface/utils/filesystem.py b/faceswapimg_data/insightface/utils/filesystem.py deleted file mode 100644 index 01e3851975bdcbbf7f5eeb7e68e70a36dc040535..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/utils/filesystem.py +++ /dev/null @@ -1,157 +0,0 @@ -""" -This code file mainly comes from https://github.com/dmlc/gluon-cv/blob/master/gluoncv/utils/filesystem.py -""" -import os -import os.path as osp -import errno - - -def get_model_dir(name, root='~/.insightface'): - root = os.path.expanduser(root) - model_dir = osp.join(root, 'models', name) - return model_dir - -def makedirs(path): - """Create directory recursively if not exists. - Similar to `makedir -p`, you can skip checking existence before this function. - - Parameters - ---------- - path : str - Path of the desired dir - """ - try: - os.makedirs(path) - except OSError as exc: - if exc.errno != errno.EEXIST: - raise - - -def try_import(package, message=None): - """Try import specified package, with custom message support. - - Parameters - ---------- - package : str - The name of the targeting package. - message : str, default is None - If not None, this function will raise customized error message when import error is found. - - - Returns - ------- - module if found, raise ImportError otherwise - - """ - try: - return __import__(package) - except ImportError as e: - if not message: - raise e - raise ImportError(message) - - -def try_import_cv2(): - """Try import cv2 at runtime. - - Returns - ------- - cv2 module if found. Raise ImportError otherwise - - """ - msg = "cv2 is required, you can install by package manager, e.g. 'apt-get', \ - or `pip install opencv-python --user` (note that this is unofficial PYPI package)." - - return try_import('cv2', msg) - - -def try_import_mmcv(): - """Try import mmcv at runtime. - - Returns - ------- - mmcv module if found. Raise ImportError otherwise - - """ - msg = "mmcv is required, you can install by first `pip install Cython --user` \ - and then `pip install mmcv --user` (note that this is unofficial PYPI package)." - - return try_import('mmcv', msg) - - -def try_import_rarfile(): - """Try import rarfile at runtime. - - Returns - ------- - rarfile module if found. Raise ImportError otherwise - - """ - msg = "rarfile is required, you can install by first `sudo apt-get install unrar` \ - and then `pip install rarfile --user` (note that this is unofficial PYPI package)." - - return try_import('rarfile', msg) - - -def import_try_install(package, extern_url=None): - """Try import the specified package. - If the package not installed, try use pip to install and import if success. - - Parameters - ---------- - package : str - The name of the package trying to import. - extern_url : str or None, optional - The external url if package is not hosted on PyPI. - For example, you can install a package using: - "pip install git+http://github.com/user/repo/tarball/master/egginfo=xxx". - In this case, you can pass the url to the extern_url. - - Returns - ------- - - The imported python module. - - """ - try: - return __import__(package) - except ImportError: - try: - from pip import main as pipmain - except ImportError: - from pip._internal import main as pipmain - - # trying to install package - url = package if extern_url is None else extern_url - pipmain(['install', '--user', - url]) # will raise SystemExit Error if fails - - # trying to load again - try: - return __import__(package) - except ImportError: - import sys - import site - user_site = site.getusersitepackages() - if user_site not in sys.path: - sys.path.append(user_site) - return __import__(package) - return __import__(package) - - -def try_import_dali(): - """Try import NVIDIA DALI at runtime. - """ - try: - dali = __import__('nvidia.dali', fromlist=['pipeline', 'ops', 'types']) - dali.Pipeline = dali.pipeline.Pipeline - except ImportError: - - class dali: - class Pipeline: - def __init__(self): - raise NotImplementedError( - "DALI not found, please check if you installed it correctly." - ) - - return dali diff --git a/faceswapimg_data/insightface/utils/storage.py b/faceswapimg_data/insightface/utils/storage.py deleted file mode 100644 index 5bf37e2d17b28dee2a8839484778815f87fc4a9c..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/utils/storage.py +++ /dev/null @@ -1,52 +0,0 @@ - -import os -import os.path as osp -import zipfile -from .download import download_file - -BASE_REPO_URL = 'https://github.com/deepinsight/insightface/releases/download/v0.7' - -def download(sub_dir, name, force=False, root='~/.insightface'): - _root = os.path.expanduser(root) - dir_path = os.path.join(_root, sub_dir, name) - if osp.exists(dir_path) and not force: - return dir_path - print('download_path:', dir_path) - zip_file_path = os.path.join(_root, sub_dir, name + '.zip') - model_url = "%s/%s.zip"%(BASE_REPO_URL, name) - download_file(model_url, - path=zip_file_path, - overwrite=True) - if not os.path.exists(dir_path): - os.makedirs(dir_path) - with zipfile.ZipFile(zip_file_path) as zf: - zf.extractall(dir_path) - #os.remove(zip_file_path) - return dir_path - -def ensure_available(sub_dir, name, root='~/.insightface'): - return download(sub_dir, name, force=False, root=root) - -def download_onnx(sub_dir, model_file, force=False, root='~/.insightface', download_zip=False): - _root = os.path.expanduser(root) - model_root = osp.join(_root, sub_dir) - new_model_file = osp.join(model_root, model_file) - if osp.exists(new_model_file) and not force: - return new_model_file - if not osp.exists(model_root): - os.makedirs(model_root) - print('download_path:', new_model_file) - if not download_zip: - model_url = "%s/%s"%(BASE_REPO_URL, model_file) - download_file(model_url, - path=new_model_file, - overwrite=True) - else: - model_url = "%s/%s.zip"%(BASE_REPO_URL, model_file) - zip_file_path = new_model_file+".zip" - download_file(model_url, - path=zip_file_path, - overwrite=True) - with zipfile.ZipFile(zip_file_path) as zf: - zf.extractall(model_root) - return new_model_file diff --git a/faceswapimg_data/insightface/utils/transform.py b/faceswapimg_data/insightface/utils/transform.py deleted file mode 100644 index 06531d257b694211a0b9a09c9d741b9b2ff53bfe..0000000000000000000000000000000000000000 --- a/faceswapimg_data/insightface/utils/transform.py +++ /dev/null @@ -1,116 +0,0 @@ -import cv2 -import math -import numpy as np -from skimage import transform as trans - - -def transform(data, center, output_size, scale, rotation): - scale_ratio = scale - rot = float(rotation) * np.pi / 180.0 - #translation = (output_size/2-center[0]*scale_ratio, output_size/2-center[1]*scale_ratio) - t1 = trans.SimilarityTransform(scale=scale_ratio) - cx = center[0] * scale_ratio - cy = center[1] * scale_ratio - t2 = trans.SimilarityTransform(translation=(-1 * cx, -1 * cy)) - t3 = trans.SimilarityTransform(rotation=rot) - t4 = trans.SimilarityTransform(translation=(output_size / 2, - output_size / 2)) - t = t1 + t2 + t3 + t4 - M = t.params[0:2] - cropped = cv2.warpAffine(data, - M, (output_size, output_size), - borderValue=0.0) - return cropped, M - - -def trans_points2d(pts, M): - new_pts = np.zeros(shape=pts.shape, dtype=np.float32) - for i in range(pts.shape[0]): - pt = pts[i] - new_pt = np.array([pt[0], pt[1], 1.], dtype=np.float32) - new_pt = np.dot(M, new_pt) - #print('new_pt', new_pt.shape, new_pt) - new_pts[i] = new_pt[0:2] - - return new_pts - - -def trans_points3d(pts, M): - scale = np.sqrt(M[0][0] * M[0][0] + M[0][1] * M[0][1]) - #print(scale) - new_pts = np.zeros(shape=pts.shape, dtype=np.float32) - for i in range(pts.shape[0]): - pt = pts[i] - new_pt = np.array([pt[0], pt[1], 1.], dtype=np.float32) - new_pt = np.dot(M, new_pt) - #print('new_pt', new_pt.shape, new_pt) - new_pts[i][0:2] = new_pt[0:2] - new_pts[i][2] = pts[i][2] * scale - - return new_pts - - -def trans_points(pts, M): - if pts.shape[1] == 2: - return trans_points2d(pts, M) - else: - return trans_points3d(pts, M) - -def estimate_affine_matrix_3d23d(X, Y): - ''' Using least-squares solution - Args: - X: [n, 3]. 3d points(fixed) - Y: [n, 3]. corresponding 3d points(moving). Y = PX - Returns: - P_Affine: (3, 4). Affine camera matrix (the third row is [0, 0, 0, 1]). - ''' - X_homo = np.hstack((X, np.ones([X.shape[0],1]))) #n x 4 - P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4 - return P - -def P2sRt(P): - ''' decompositing camera matrix P - Args: - P: (3, 4). Affine Camera Matrix. - Returns: - s: scale factor. - R: (3, 3). rotation matrix. - t: (3,). translation. - ''' - t = P[:, 3] - R1 = P[0:1, :3] - R2 = P[1:2, :3] - s = (np.linalg.norm(R1) + np.linalg.norm(R2))/2.0 - r1 = R1/np.linalg.norm(R1) - r2 = R2/np.linalg.norm(R2) - r3 = np.cross(r1, r2) - - R = np.concatenate((r1, r2, r3), 0) - return s, R, t - -def matrix2angle(R): - ''' get three Euler angles from Rotation Matrix - Args: - R: (3,3). rotation matrix - Returns: - x: pitch - y: yaw - z: roll - ''' - sy = math.sqrt(R[0,0] * R[0,0] + R[1,0] * R[1,0]) - - singular = sy < 1e-6 - - if not singular : - x = math.atan2(R[2,1] , R[2,2]) - y = math.atan2(-R[2,0], sy) - z = math.atan2(R[1,0], R[0,0]) - else : - x = math.atan2(-R[1,2], R[1,1]) - y = math.atan2(-R[2,0], sy) - z = 0 - - # rx, ry, rz = np.rad2deg(x), np.rad2deg(y), np.rad2deg(z) - rx, ry, rz = x*180/np.pi, y*180/np.pi, z*180/np.pi - return rx, ry, rz - diff --git a/faceswapimg_data/models/GFPGANv1.4.pth b/faceswapimg_data/models/GFPGANv1.4.pth deleted file mode 100644 index afedb5c7e826056840c9cc183f2c6f0186fd17ba..0000000000000000000000000000000000000000 --- a/faceswapimg_data/models/GFPGANv1.4.pth +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e2cd4703ab14f4d01fd1383a8a8b266f9a5833dacee8e6a79d3bf21a1b6be5ad -size 348632874 diff --git a/faceswapimg_data/models/inswapper_128.onnx b/faceswapimg_data/models/inswapper_128.onnx deleted file mode 100644 index cb672b799d74fdf7ab8b172a1b1d78411f6400f5..0000000000000000000000000000000000000000 --- a/faceswapimg_data/models/inswapper_128.onnx +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e4a3f08c753cb72d04e10aa0f7dbe3deebbf39567d4ead6dce08e98aa49e16af -size 554253681