Test your AI Agents with the all-new Agent to Agent Testing Platform.Learn More

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:...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.