How to use _download method in avocado

Best Python code snippet using avocado_python

hubconf.py

Source:hubconf.py

...11        mode='asuka'12    )13    if pretrained:14        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v1.0.0/Asuka-512x512-7de0e6.mat'15        model.load_state_dict(_download(checkpoint, progress=True))16    return model17def style_horo(pretrained=False):18    model = _m(19        layer_count=8,20        startf=32,21        maxf=512,22        truncation_psi=0.5,23        truncation_cutoff=8,24        mode='asuka'25    )26    if pretrained:27        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v1.1.0/Horo-512x512-822ee4.mat'28        model.load_state_dict(_download(checkpoint, progress=True))29    return model30def style_asashio(pretrained=False):31    model = _m(32        layer_count=8,33        startf=32,34        maxf=512,35        truncation_psi=0.5,36        truncation_cutoff=8,37        mode='asuka'38    )39    if pretrained:40        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.2.0/Asashio-512x512-a3c21a.mat'41        model.load_state_dict(_download(checkpoint, progress=True))42    return model43def style_anime_head(pretrained=False):44    model = _m(45        layer_count=8,46        startf=32,47        maxf=512,48        truncation_psi=0.5,49        truncation_cutoff=8,50        mode='asuka'51    )52    if pretrained:53        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.1.0/AnimeHead-512x512-960a82.mat'54        model.load_state_dict(_download(checkpoint, progress=True))55    return model56def style_anime_face_a(pretrained=False):57    model = _m(58        layer_count=8,59        startf=32,60        maxf=512,61        truncation_psi=0.5,62        truncation_cutoff=8,63        mode='asuka'64    )65    if pretrained:66        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.0.0/AnimeFaceC-512x512-47055c.mat'67        model.load_state_dict(_download(checkpoint, progress=True))68    return model69def style_anime_face_b(pretrained=False):70    model = _m(71        layer_count=8,72        startf=32,73        maxf=512,74        truncation_psi=0.5,75        truncation_cutoff=8,76        mode='asuka'77    )78    if pretrained:79        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.0.0/AnimeFaceA-512x512-feaff1.mat'80        model.load_state_dict(_download(checkpoint, progress=True))81    return model82def style_anime_face_c(pretrained=False):83    model = _m(84        layer_count=8,85        startf=32,86        maxf=512,87        truncation_psi=0.5,88        truncation_cutoff=8,89        mode='asuka'90    )91    if pretrained:92        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.0.0/AnimeFaceB-512x512-41bdee.mat'93        model.load_state_dict(_download(checkpoint, progress=True))94    return model95def style_anime_face_d(pretrained=False):96    model = _m(97        layer_count=8,98        startf=32,99        maxf=512,100        truncation_psi=0.5,101        truncation_cutoff=8,102        mode='asuka'103    )104    if pretrained:105        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.0.0/AnimeFaceD-512x512-3e59ff.mat'106        model.load_state_dict(_download(checkpoint, progress=True))107    return model108def style_anime_face_e(pretrained=False):109    model = _m(110        layer_count=8,111        startf=32,112        maxf=512,113        truncation_psi=0.4,114        truncation_cutoff=8,115        mode='asuka'116    )117    if pretrained:118        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.0.0/AnimeFaceE-512x512-9cfc38.mat'119        model.load_state_dict(_download(checkpoint, progress=True))120    return model121def style_art_a(pretrained=False):122    model = _m(123        layer_count=9,124        startf=16,125        maxf=512,126        truncation_psi=0.75,127        truncation_cutoff=8,128        mode='normal'129    )130    if pretrained:131        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.4.0/WikiArts-1024x1024-439e92.mat'132        model.load_state_dict(_download(checkpoint, progress=True))133    return model134def style_art_b(pretrained=False):135    model = _m(136        layer_count=8,137        startf=32,138        maxf=512,139        truncation_psi=0.5,140        truncation_cutoff=8,141        mode='asuka'142    )143    if pretrained:144        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.4.1/WikiArts-512x512-5955f8.mat'145        model.load_state_dict(_download(checkpoint, progress=True))146    return model147def style_ukiyoe_faces(pretrained=False):148    model = _m(149        layer_count=8,150        startf=32,151        maxf=512,152        truncation_psi=0.5,153        truncation_cutoff=8,154        mode='asuka'155    )156    if pretrained:157        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.5.0/UkiyoeFaces-512x512-e1d576.mat'158        model.load_state_dict(_download(checkpoint, progress=True))159    return model160def style_ffhq(pretrained=False):161    model = _m(162        layer_count=9,163        startf=16,164        maxf=512,165        truncation_psi=0.75,166        truncation_cutoff=8,167        mode='normal'168    )169    if pretrained:170        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v1.2.0/FFHQ-1024x1024-4a40cc.mat'171        model.load_state_dict(_download(checkpoint, progress=True))172    return model173def style_celeba_hq(pretrained=False):174    model = _m(175        layer_count=9,176        startf=16,177        maxf=512,178        truncation_psi=0.75,179        truncation_cutoff=8,180        mode='normal'181    )182    if pretrained:183        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v1.3.0/CelebaHQ-1024x1024-b5920a.mat'184        model.load_state_dict(_download(checkpoint, progress=True))185    return model186def style_baby(pretrained=False):187    model = _m(188        layer_count=9,189        startf=16,190        maxf=512,191        truncation_psi=0.75,192        truncation_cutoff=8,193        mode='normal'194    )195    if pretrained:196        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v1.8.0/Baby-1024x1024-b7d3cd.mat'197        model.load_state_dict(_download(checkpoint, progress=True))198    return model199def style_wanghong(pretrained=False):200    model = _m(201        layer_count=9,202        startf=16,203        maxf=512,204        truncation_psi=0.75,205        truncation_cutoff=8,206        mode='normal'207    )208    if pretrained:209        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v1.4.0/WangHong-1024x1024-3aff9a.mat'210        model.load_state_dict(_download(checkpoint, progress=True))211    return model212def style_asian_people(pretrained=False):213    model = _m(214        layer_count=9,215        startf=16,216        maxf=512,217        truncation_psi=0.75,218        truncation_cutoff=8,219        mode='normal'220    )221    if pretrained:222        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v1.5.0/AsianPeople-1024x1024-82c02f' \223                     '.mat '224        model.load_state_dict(_download(checkpoint, progress=True))225    return model226def style_asian_star(pretrained=False):227    model = _m(228        layer_count=9,229        startf=16,230        maxf=512,231        truncation_psi=0.75,232        truncation_cutoff=8,233        mode='normal'234    )235    if pretrained:236        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v1.6.0/AsianStar-1024x1024-aff808.mat'237        model.load_state_dict(_download(checkpoint, progress=True))238    return model239def style_super_star(pretrained=False):240    model = _m(241        layer_count=9,242        startf=16,243        maxf=512,244        truncation_psi=0.75,245        truncation_cutoff=8,246        mode='normal'247    )248    if pretrained:249        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v1.7.0/SuperStar-1024x1024-4141b4.mat'250        model.load_state_dict(_download(checkpoint, progress=True))251    return model252def style_vessel(pretrained=False):253    model = _m(254        layer_count=9,255        startf=16,256        maxf=512,257        truncation_psi=0.75,258        truncation_cutoff=8,259        mode='normal'260    )261    if pretrained:262        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.3.0/Vessel-1024x1024-ea0817.mat'263        model.load_state_dict(_download(checkpoint, progress=True))264    return model265def style_qinghua(pretrained=False):266    model = _m(267        layer_count=9,268        startf=16,269        maxf=512,270        truncation_psi=0.75,271        truncation_cutoff=8,272        mode='normal'273    )274    if pretrained:275        checkpoint = 'https://github.com/GalAster/StyleGAN-Zoo/releases/download/v2.3.1/QingHua-1024x1024-649fe8.mat'276        model.load_state_dict(_download(checkpoint, progress=True))...

conanfile.py

Source:conanfile.py

...13    def source(self):14        # download OpenGL headers from the Khronos Registry https://www.khronos.org/registry/OpenGL/index_gl.php15        for directory in ["GL", 'KHR', "EGL", "GLES", "GLES2", "GLES3"]:16            os.makedirs(directory)17        def _download(url, sha256):18            from six.moves.urllib.parse import urlparse19            filename = os.path.basename(urlparse(url).path)20            tools.download(url, filename)21            tools.check_sha256(filename, sha256)22        with tools.chdir("GL"):23            _download("https://www.khronos.org/registry/OpenGL/api/GL/glext.h",24                      "3e7f19e54717473a8882050b00ed982dc59fe929afcab6c4beb19891d5cf784a")25            _download("https://www.khronos.org/registry/OpenGL/api/GL/glcorearb.h",26                      "68e25c8ff756195574b6e329b4666c205c5f5a26b4632a5ffd9f377631655f65")27            _download("https://www.khronos.org/registry/OpenGL/api/GL/glxext.h",28                      "c1386ade12a9ea0986eb1e3ac8038d08ef4b5dd31949047905a458f22787457c")29            _download("https://www.khronos.org/registry/OpenGL/api/GL/wglext.h",30                      "f581bd8340b3a41abc07c4b0144537cab76bc6ad759ae4929ec2159d336a988b")31        with tools.chdir("KHR"):32            _download("https://www.khronos.org/registry/EGL/api/KHR/khrplatform.h",33                      "bbca133eec0bd0b62fc6f8d27d993aedda3c79f0de8ad3637f8cf42ffbeb8e7b")34        with tools.chdir("EGL"):35            _download("https://www.khronos.org/registry/EGL/api/EGL/egl.h",36                      "70207b48ccd7257473ae7517c2a9cab3f8268e073df303e58df66a2ac171f75c")37            _download("https://www.khronos.org/registry/EGL/api/EGL/eglext.h",38                      "5045357621c4c0729e6f3c425788a5837dcfdcb09d256cb7e9f96918fb2836a0")39            _download("https://www.khronos.org/registry/EGL/api/EGL/eglplatform.h",40                      "bce59928d5b82d5ed799c291d273d6f8fe44428beffcb48556ad90a23ac7754f")41        with tools.chdir("GLES"):42            _download("https://www.khronos.org/registry/OpenGL/api/GLES/gl.h",43                      "2f1d453d859f4e73a02ae720b962198c0adea91492ddc6f9404e764e18671845")44            _download("https://www.khronos.org/registry/OpenGL/api/GLES/glext.h",45                      "ae395b86cb96f325b526cfc5bbde4e0c17f411f8c74f554f8219d093d31f0cba")46            _download("https://www.khronos.org/registry/OpenGL/api/GLES/glplatform.h",47                      "857bf0685ecb0dddf692157ea9ef98c95e9f58b5ed0c41b26fd3fe51ed1a3624")48            _download("https://www.khronos.org/registry/OpenGL/api/GLES/egl.h",49                      "1ba84c782436b5e103cd1ee8060840846b96ec4727d00944cee59d1c44db0dda")50        with tools.chdir("GLES2"):51            _download("https://www.khronos.org/registry/OpenGL/api/GLES2/gl2.h",52                      "64fae5ff4a48463468be60439ea5869ebcb77cc80306538cad28ebb8e0a04299")53            _download("https://www.khronos.org/registry/OpenGL/api/GLES2/gl2ext.h",54                      "551e4082c1630e784a2397b64c748b3575ff43e200bd1658aca207f68d919828")55            _download("https://www.khronos.org/registry/OpenGL/api/GLES2/gl2platform.h",56                      "8f25443c4c5b3c8e702c3510f12b6ec8c23c2e3c1ca1c71bb07d148653696d9a")57        with tools.chdir("GLES3"):58            _download("https://www.khronos.org/registry/OpenGL/api/GLES3/gl3.h",59                      "b71b52974d2fdb2ccf49632bfb13f262f979c2179d0dd4f4b7718d2521065e17")60            _download("https://www.khronos.org/registry/OpenGL/api/GLES3/gl31.h",61                      "7fb6d736b3e2a4036f279e654230f6cd04ddfb564f5505c39036316fe40c9e94")62            _download("https://www.khronos.org/registry/OpenGL/api/GLES3/gl32.h",63                      "a2cfd7d890f16f67665e01e6f514a7c75bfc702e50c8861a44d04536271fffd1")64            _download("https://www.khronos.org/registry/OpenGL/api/GLES2/gl2ext.h",65                      "551e4082c1630e784a2397b64c748b3575ff43e200bd1658aca207f68d919828")66            _download("https://www.khronos.org/registry/OpenGL/api/GLES3/gl3platform.h",67                      "b4595aafef1eb9b4705cf8a69e29aadb8eb8e3dd3baf8b34ab702c9174dcb549")68    def package_id(self):69        self.info.header_only()70    def package(self):71        self.copy(pattern="LICENSE", dst="licenses", src=".")72        self.copy(pattern="*.h", dst="include", src=".", keep_path=True)73    def package_info(self):74        if self.settings.os == "Macos":75            self.cpp_info.defines.append("GL_SILENCE_DEPRECATION=1")76            self.cpp_info.exelinkflags.append("-framework OpenGL")77            self.cpp_info.sharedlinkflags = self.cpp_info.exelinkflags78        elif str(self.settings.os) in ["iOS", "watchOS", "tvOS"]:79            self.cpp_info.exelinkflags.append("-framework OpenGLES")80            self.cpp_info.sharedlinkflags = self.cpp_info.exelinkflags...

RecordFailure.py

Source:RecordFailure.py

1import pandas as pd2import datetime3import json4import os5def record_download(station, time, message='fail'):6    filepath = 'cache/data/' + station + '/download.json'7    if os.path.exists(filepath):8        with open(filepath, 'r+') as f:9            _download = json.load(f)10    else:11        _download = dict()12    if message == 'success':13        _download[time] = 014    elif message == 'inter':15        _download[time] = -116    elif message == 'missing':17        _download[time] = -218    else:19        try:...

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