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How to use add_args method in autotest
Best Python code snippet using autotest_python
all_graphs.py
Source:all_graphs.py 
1import base642from matplotlib import pyplot as plt3import seaborn as sns4import io5import os678def base64img():9 # https://stackoverflow.com/questions/37225035/serialize-in-json-a-base64-encoded-data10 my_stringIObytes = io.BytesIO()1112 plt.savefig(my_stringIObytes, format='png', dpi=200)13 plt.close()1415 my_stringIObytes.seek(0)16 imdata_bytes = base64.b64encode(my_stringIObytes.read())17 imdata_string = imdata_bytes.decode('utf-8')18 return imdata_string192021def empty2none(args):22 for k, v in args.items():23 if type(v) == str:24 args[k] = None if v == '' else v25 if type(v) == int:26 args[k] = None if v == -999 else v27 return args282930def set_fig_size(g, fig_size):31 w, h = fig_size.split(';')32 g.figure.set_figwidth(float(w))33 g.figure.set_figheight(float(h))343536def clean_args(args):37 rm_list = ['add_args', 'ax_args', 'despine', 'fig_size']38 # remove optional args39 try:40 [args.pop(k) for k in rm_list]41 except:42 pass4344 args = empty2none(args)4546 return args4748def example_data(data_base_name='iris'):49 # https://seaborn.pydata.org/generated/seaborn.load_dataset.html#seaborn.load_dataset50 sns.load_dataset(data_base_name).to_csv(index=False, line_terminator='@')515253# ---------------------------------54# RELATIONAL PLOTS555657def rel(data, x, y, hue, size, style, row, col, col_wrap, kind='scatter', palette='deep', fig_size ='', despine={}, add_args={}, ax_args={}):58 # https://seaborn.pydata.org/generated/seaborn.relplot.html#seaborn.relplot5960 args = clean_args(locals())6162 g = sns.relplot(**args, **add_args)63 g.set(**ax_args)6465 if fig_size:66 set_fig_size(g, fig_size)6768 if despine:69 sns.despine(**despine)7071 # tight layout72 plt.tight_layout()7374 return base64img()757677def scatter(data, x, y, hue, palette, fig_size, despine={}, add_args={}, ax_args={}):78 # https://seaborn.pydata.org/generated/seaborn.scatterplot.html#seaborn.scatterplot7980 args = clean_args(locals())8182 g = sns.scatterplot(**args, **add_args)83 g.set(**ax_args)8485 if fig_size:86 set_fig_size(g, fig_size)8788 if despine:89 sns.despine(**despine)9091 # tight layout92 plt.tight_layout()9394 return base64img()959697def line(data, x, y, hue, palette, fig_size, despine={}, add_args={}, ax_args={}):98 # https://seaborn.pydata.org/generated/seaborn.lineplot.html#seaborn.lineplot99100 args = clean_args(locals())101102 g = sns.lineplot(**args, **add_args)103 g.set(**ax_args)104105 if fig_size:106 set_fig_size(g, fig_size)107108 if despine:109 sns.despine(**despine)110111 # tight layout112 plt.tight_layout()113114 return base64img()115116117# -------------------------------------------------118# DISTRIBUTION PLOTS119120def dis(data, x, y, hue, row, col, col_wrap, kind, rug, legend, palette, fig_size, despine={}, add_args={}, ax_args={}):121122 # https://seaborn.pydata.org/generated/seaborn.displot.html#seaborn.displot123124 args = clean_args(locals())125126 g = sns.displot(**args, **add_args)127 g.set(**ax_args)128129 if fig_size:130 set_fig_size(g, fig_size)131132 if despine:133 sns.despine(**despine)134135 # tight layout136 plt.tight_layout()137138 return base64img()139140141def hist(data, x, y, hue, stat, cumulative, multiple, element, fill, shrink, kde, legend,142 palette, fig_size, despine={}, add_args={}, ax_args={}):143 # https://seaborn.pydata.org/generated/seaborn.histplot.html#seaborn.histplot144145 args = clean_args(locals())146147 g = sns.histplot(**args, **add_args)148 g.set(**ax_args)149150 if fig_size:151 set_fig_size(g, fig_size)152153 if despine:154 sns.despine(**despine)155156 # tight layout157 plt.tight_layout()158159 return base64img()160161162def kde(data, x, y, hue, cut, cumulative, multiple, common_norm, common_grid, levels, thresh,163 alpha, fill, legend, palette, fig_size, despine={}, add_args={}, ax_args={}):164 # https://seaborn.pydata.org/generated/seaborn.kdeplot.html#seaborn.kdeplot165166 args = clean_args(locals())167168 g = sns.kdeplot(**args, **add_args)169 g.set(**ax_args)170171 if fig_size:172 set_fig_size(g, fig_size)173174 if despine:175 sns.despine(**despine)176177 # tight layout178 plt.tight_layout()179180 return base64img()181182183def ecdf():184 # https://seaborn.pydata.org/generated/seaborn.ecdfplot.html#seaborn.ecdfplot185 pass186187188def rug():189 # https://seaborn.pydata.org/generated/seaborn.rugplot.html#seaborn.rugplot190 pass191192193# -------------------------------------------------194# CATEGORICAL PLOTS195196197def cat(data, x, y, hue, row, col, col_wrap, ci, seed, kind, palette, fig_size, despine={}, add_args={}, ax_args={}):198 # https://seaborn.pydata.org/generated/seaborn.catplot.html#seaborn.catplot199200 args = clean_args(locals())201202 g = sns.catplot(**args, **add_args)203 g.set(**ax_args)204205 if fig_size:206 set_fig_size(g, fig_size)207208 if despine:209 sns.despine(**despine)210211 # tight layout212 plt.tight_layout()213214 return base64img()215216217def strip(data, x, y, hue, jitter, size, palette, fig_size, despine={}, add_args={}, ax_args={}):218 # https://seaborn.pydata.org/generated/seaborn.stripplot.html#seaborn.stripplot219220 args = clean_args(locals())221222 g = sns.stripplot(**args, **add_args)223 g.set(**ax_args)224225 if fig_size:226 set_fig_size(g, fig_size)227228 if despine:229 sns.despine(**despine)230231 # tight layout232 plt.tight_layout()233234 return base64img()235236237def swarm(data, x, y, hue, dodge, size, palette, fig_size, despine={}, add_args={}, ax_args={}):238 # https://seaborn.pydata.org/generated/seaborn.swarmplot.html#seaborn.swarmplot239240 args = clean_args(locals())241242 g = sns.swarmplot(**args, **add_args)243 g.set(**ax_args)244245 if fig_size:246 set_fig_size(g, fig_size)247248 if despine:249 sns.despine(**despine)250251 # tight layout252 plt.tight_layout()253254 return base64img()255256257def box(data, x, y, hue, palette, fig_size, despine={}, add_args={}, ax_args={}):258 # https://seaborn.pydata.org/generated/seaborn.boxplot.html#seaborn.boxplot259 # get all local arguments and check if = ''260261 args = clean_args(locals())262263 g = sns.boxplot(**args, **add_args)264 g.set(**ax_args)265266 if fig_size:267 set_fig_size(g, fig_size)268269 if despine:270 sns.despine(**despine)271272 # tight layout273 plt.tight_layout()274275 return base64img()276277278def violin(data, x, y, hue, bw, inner, split, dodge, palette, fig_size, despine={}, add_args={}, ax_args={}):279 # https://seaborn.pydata.org/generated/seaborn.violinplot.html#seaborn.violinplot280281 args = clean_args(locals())282283 g = sns.violinplot(**args, **add_args)284 g.set(**ax_args)285286 if fig_size:287 set_fig_size(g, fig_size)288289 if despine:290 sns.despine(**despine)291292 # tight layout293 plt.tight_layout()294295 return base64img()296297298def boxen(data, x, y, hue, dodge, k_depth, showfliers, palette, fig_size, despine={}, add_args={}, ax_args={}):299 # https://seaborn.pydata.org/generated/seaborn.boxenplot.html#seaborn.boxenplot300301 args = clean_args(locals())302303 g = sns.boxenplot(**args, **add_args)304 g.set(**ax_args)305306 if fig_size:307 set_fig_size(g, fig_size)308309 if despine:310 sns.despine(**despine)311312 # tight layout313 plt.tight_layout()314315 return base64img()316317318def point(data, x, y, hue, dodge, join, scale, errwidth, palette, fig_size, despine={}, add_args={}, ax_args={}):319 # https://seaborn.pydata.org/generated/seaborn.pointplot.html#seaborn.pointplot320321 args = clean_args(locals())322323 g = sns.pointplot(**args, **add_args)324 g.set(**ax_args)325326 if fig_size:327 set_fig_size(g, fig_size)328329 if despine:330 sns.despine(**despine)331332 # tight layout333 plt.tight_layout()334335 return base64img()336337338def bar(data, x, y, hue, ci, errwidth, palette, fig_size, despine={}, add_args={}, ax_args={}):339 # https://seaborn.pydata.org/generated/seaborn.barplot.html#seaborn.barplot340341 args = clean_args(locals())342343 g = sns.barplot(**args, **add_args)344 g.set(**ax_args)345346 if fig_size:347 set_fig_size(g, fig_size)348349 if despine:350 sns.despine(**despine)351352 # tight layout353 plt.tight_layout()354355 return base64img()356357358def count(data, x, hue, dodge, palette, fig_size, despine={}, add_args={}, ax_args={}):359 # https://seaborn.pydata.org/generated/seaborn.countplot.html#seaborn.countplot360361 args = clean_args(locals())362363 g = sns.countplot(**args, **add_args)364 g.set(**ax_args)365366 if fig_size:367 set_fig_size(g, fig_size)368369 if despine:370 sns.despine(**despine)371372 # tight layout373 plt.tight_layout()374375 return base64img()376
...
intel_iommu.py
Source:intel_iommu.py
...25 initrd_path = None26 kernel_params = None27 def set_up_boot(self):28 path = self.download_boot()29 self.vm.add_args('-device', 'virtio-blk-pci,bus=pcie.0,scsi=off,' +30 'drive=drv0,id=virtio-disk0,bootindex=1,'31 'werror=stop,rerror=stop' + self.IOMMU_ADDON)32 self.vm.add_args('-device', 'virtio-gpu-pci' + self.IOMMU_ADDON)33 self.vm.add_args('-drive',34 'file=%s,if=none,cache=writethrough,id=drv0' % path)35 def setUp(self):36 super(IntelIOMMU, self).setUp(None, 'virtio-net-pci' + self.IOMMU_ADDON)37 def add_common_args(self):38 self.vm.add_args('-device', 'virtio-rng-pci,rng=rng0')39 self.vm.add_args('-object',40 'rng-random,id=rng0,filename=/dev/urandom')41 def common_vm_setup(self, custom_kernel=None):42 self.require_accelerator("kvm")43 self.add_common_args()44 self.vm.add_args("-accel", "kvm")45 if custom_kernel is None:46 return47 kernel_url = self.distro.pxeboot_url + 'vmlinuz'48 initrd_url = self.distro.pxeboot_url + 'initrd.img'49 self.kernel_path = self.fetch_asset(kernel_url)50 self.initrd_path = self.fetch_asset(initrd_url)51 def run_and_check(self):52 if self.kernel_path:53 self.vm.add_args('-kernel', self.kernel_path,54 '-append', self.kernel_params,55 '-initrd', self.initrd_path)56 self.launch_and_wait()57 self.ssh_command('cat /proc/cmdline')58 self.ssh_command('dmesg | grep -e DMAR -e IOMMU')59 self.ssh_command('find /sys/kernel/iommu_groups/ -type l')60 self.ssh_command('dnf -y install numactl-devel')61 def test_intel_iommu(self):62 """63 :avocado: tags=intel_iommu_intremap64 """65 self.common_vm_setup(True)66 self.vm.add_args('-device', 'intel-iommu,intremap=on')67 self.vm.add_args('-machine', 'kernel_irqchip=split')68 self.kernel_params = (self.distro.default_kernel_params +69 ' quiet intel_iommu=on')70 self.run_and_check()71 def test_intel_iommu_strict(self):72 """73 :avocado: tags=intel_iommu_strict74 """75 self.common_vm_setup(True)76 self.vm.add_args('-device', 'intel-iommu,intremap=on')77 self.vm.add_args('-machine', 'kernel_irqchip=split')78 self.kernel_params = (self.distro.default_kernel_params +79 ' quiet intel_iommu=on,strict')80 self.run_and_check()81 def test_intel_iommu_strict_cm(self):82 """83 :avocado: tags=intel_iommu_strict_cm84 """85 self.common_vm_setup(True)86 self.vm.add_args('-device', 'intel-iommu,intremap=on,caching-mode=on')87 self.vm.add_args('-machine', 'kernel_irqchip=split')88 self.kernel_params = (self.distro.default_kernel_params +89 ' quiet intel_iommu=on,strict')90 self.run_and_check()91 def test_intel_iommu_pt(self):92 """93 :avocado: tags=intel_iommu_pt94 """95 self.common_vm_setup(True)96 self.vm.add_args('-device', 'intel-iommu,intremap=on')97 self.vm.add_args('-machine', 'kernel_irqchip=split')98 self.kernel_params = (self.distro.default_kernel_params +99 ' quiet intel_iommu=on iommu=pt')...
boot_linux.py
Source:boot_linux.py
...19 :avocado: tags=machine:pc20 :avocado: tags=accel:tcg21 """22 self.require_accelerator("tcg")23 self.vm.add_args("-accel", "tcg")24 self.launch_and_wait(set_up_ssh_connection=False)25 def test_pc_i440fx_kvm(self):26 """27 :avocado: tags=machine:pc28 :avocado: tags=accel:kvm29 """30 self.require_accelerator("kvm")31 self.vm.add_args("-accel", "kvm")32 self.launch_and_wait(set_up_ssh_connection=False)33 def test_pc_q35_tcg(self):34 """35 :avocado: tags=machine:q3536 :avocado: tags=accel:tcg37 """38 self.require_accelerator("tcg")39 self.vm.add_args("-accel", "tcg")40 self.launch_and_wait(set_up_ssh_connection=False)41 def test_pc_q35_kvm(self):42 """43 :avocado: tags=machine:q3544 :avocado: tags=accel:kvm45 """46 self.require_accelerator("kvm")47 self.vm.add_args("-accel", "kvm")48 self.launch_and_wait(set_up_ssh_connection=False)49class BootLinuxAarch64(LinuxTest):50 """51 :avocado: tags=arch:aarch6452 :avocado: tags=machine:virt53 :avocado: tags=machine:gic-version=254 """55 def add_common_args(self):56 self.vm.add_args('-bios',57 os.path.join(BUILD_DIR, 'pc-bios',58 'edk2-aarch64-code.fd'))59 self.vm.add_args('-device', 'virtio-rng-pci,rng=rng0')60 self.vm.add_args('-object', 'rng-random,id=rng0,filename=/dev/urandom')61 def test_virt_tcg_gicv2(self):62 """63 :avocado: tags=accel:tcg64 :avocado: tags=cpu:max65 :avocado: tags=device:gicv266 """67 self.require_accelerator("tcg")68 self.vm.add_args("-accel", "tcg")69 self.vm.add_args("-cpu", "max,lpa2=off")70 self.vm.add_args("-machine", "virt,gic-version=2")71 self.add_common_args()72 self.launch_and_wait(set_up_ssh_connection=False)73 def test_virt_tcg_gicv3(self):74 """75 :avocado: tags=accel:tcg76 :avocado: tags=cpu:max77 :avocado: tags=device:gicv378 """79 self.require_accelerator("tcg")80 self.vm.add_args("-accel", "tcg")81 self.vm.add_args("-cpu", "max,lpa2=off")82 self.vm.add_args("-machine", "virt,gic-version=3")83 self.add_common_args()84 self.launch_and_wait(set_up_ssh_connection=False)85 def test_virt_kvm(self):86 """87 :avocado: tags=accel:kvm88 :avocado: tags=cpu:host89 """90 self.require_accelerator("kvm")91 self.vm.add_args("-accel", "kvm")92 self.vm.add_args("-machine", "virt,gic-version=host")93 self.add_common_args()94 self.launch_and_wait(set_up_ssh_connection=False)95class BootLinuxPPC64(LinuxTest):96 """97 :avocado: tags=arch:ppc6498 """99 def test_pseries_tcg(self):100 """101 :avocado: tags=machine:pseries102 :avocado: tags=accel:tcg103 """104 self.require_accelerator("tcg")105 self.vm.add_args("-accel", "tcg")106 self.launch_and_wait(set_up_ssh_connection=False)107class BootLinuxS390X(LinuxTest):108 """109 :avocado: tags=arch:s390x110 """111 @skipIf(os.getenv('GITLAB_CI'), 'Running on GitLab')112 def test_s390_ccw_virtio_tcg(self):113 """114 :avocado: tags=machine:s390-ccw-virtio115 :avocado: tags=accel:tcg116 """117 self.require_accelerator("tcg")118 self.vm.add_args("-accel", "tcg")...
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