code stringlengths 3 6.57k |
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__init__(self,bot) |
commands.command() |
dab(self,ctx, *, member: discord.Member) |
ctx.send("haha no") |
discord.Embed(title="",description='') |
r.randint(0,3) |
em.set_image(url=str(urls[rand]) |
ctx.send(embed=em) |
ctx.send(str(member.mention) |
ctx.send("Invalid user") |
commands.command() |
bruhcat(self,ctx) |
discord.Embed() |
catembed.set_image(url="https://cdn.discordapp.com/attachments/444325494264037377/445300639631671296/bruh.gif") |
ctx.send(embed=catembed) |
commands.command() |
blicky(self,ctx) |
discord.Embed() |
em.set_image(url="https://cdn.discordapp.com/attachments/444325494264037377/445407209359409163/27c3yf.png") |
ctx.send(embed=em) |
on_message(self,message) |
message.channel.send(f"Please do not use the word '{word}' or I will report you and block you") |
r.randint(1,2000) |
message.channel.send("^Are you listening to this retard lmao") |
message.channel.send("Another day closer to death" + str(message.author.mention) |
message.channel.send("sleep tight boyo") |
message.channel.send("bye loser") |
message.channel.send("Equality for women") |
message.channel.send("Now") |
on_member_ban(self,guild,member) |
guild.owner.send("Can y'all stop banning my master") |
setup(bot) |
bot.add_cog(Fun(bot) |
test_float16(device) |
schemes.Quantize(condensa.float16) |
torch.nn.Linear(100, 10) |
float() |
to(device) |
scheme.pi(fc) |
scheme.delta(fc) |
test_float16('cpu') |
torch.cuda.is_available() |
test_float16('cpu') |
_3dCSC_SF_Export_Field(FrozenOnly) |
__init__(self, sf) |
self._freeze_self_() |
to_file(self, filename, numOfSamples=1e6, regions=None) |
check_filename(filename) |
isinstance(numOfSamples, (int, float) |
isinstance(numOfSamples, (tuple, list) |
len(numOfSamples) |
isinstance(nos, (int, float) |
isinstance(regions, str) |
isinstance(regions, (list, tuple) |
len(set(regions) |
len(regions) |
enumerate(regions) |
list() |
range(3) |
int((numOfSamples[i] / mesh.elements.GLOBAL_num) |
rst.append(np.linspace(-1 + interval/2, 1-interval/2, density) |
self._sf_.reconstruct(*rst, regions=regions) |
range(mesh.elements.GLOBAL_num) |
range(mesh.elements.GLOBAL_num) |
range(mesh.elements.GLOBAL_num) |
range(mesh.elements.GLOBAL_num) |
in (1, 2) |
range(mesh.elements.GLOBAL_num) |
range(mesh.elements.GLOBAL_num) |
in (1, 2) |
cOmm.recv(source=i, tag=0) |
in (1, 2) |
cOmm.send([xyz, v], dest=mAster_rank, tag=0) |
in (1, 2) |
mesh.do.regionwsie_stack(X, Y, Z, Vx, Vy, Vz) |
mesh.do.regionwsie_stack(X, Y, Z, Vx) |
in (1, 2) |
check_no_splcharacter(RN) |
in (1, 2) |
x.ravel(order='F') |
y.ravel(order='F') |
z.ravel(order='F') |
in (1, 2) |
vx.ravel(order='F') |
vy.ravel(order='F') |
vz.ravel(order='F') |
vx.ravel(order='F') |
in (1, 2) |
np.hstack((x, y, z, vx, vy, vz) |
np.hstack((x, y, z, vx) |
np.savetxt(FILE_NAME, TO_BE_WRITTEN) |
dict() |
in (1, 2) |
savemat(FILE_NAME, m_dic) |
Exception(f"Format=.{extension} is not supported.") |
get_config(mode = 'app', net_size = 'large', net_mode = 'ir_se', use_mtcnn = 1, threshold = 1.25) |
edict() |
torch.device("cuda" if torch.cuda.is_available() |
trans.ToTensor() |
trans.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5]) |
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