code
stringlengths 13
6.09M
| order_type
stringclasses 2
values | original_example
dict | step_ids
listlengths 1
5
|
|---|---|---|---|
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print('hello word!')
<|reserved_special_token_1|>
import ply.lex as lex
print('hello word!')
<|reserved_special_token_1|>
import ply.lex as lex
print("hello word!")
|
flexible
|
{
"blob_id": "84d0c439fcee4339250ced11dd2264740cc20d9c",
"index": 9567,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint('hello word!')\n",
"step-3": "import ply.lex as lex\nprint('hello word!')\n",
"step-4": "import ply.lex as lex\n\nprint(\"hello word!\")\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
from django.db import models
from django.db.models.base import Model
# Create your models here.
class Categoria(models.Model):
categoria = models.CharField(max_length=40)
def __str__(self):
return self.categoria
class Producto(models.Model):
codigo = models.CharField(max_length=40)
nombre = models.CharField(max_length=40)
precio = models.IntegerField()
stock = models.IntegerField()
descripcion = models.CharField(max_length=40)
categoria = models.ForeignKey(Categoria, on_delete=models.CASCADE)
fecha = models.DateField()
imagen = models.ImageField(null=True, blank=True)
def __str__(self):
return self.nombre
class Cliente(models.Model):
nombre = models.CharField(max_length=41)
paterno = models.CharField(max_length=40)
rut = models.CharField(max_length=9)
direccion = models.CharField(max_length=40)
telefono = models.IntegerField()
mail = models.CharField(max_length=100)
def __str__(self):
return self.nombre
class Usuario(models.Model):
mail = models.CharField(max_length=100)
contraseña = models.CharField(max_length=100)
rut = models.ForeignKey(Cliente, on_delete=models.CASCADE)
def __str__(self):
return self.rut
class DetalleVenta(models.Model):
tipo_comprovante = models.CharField(max_length=100)
serie_comprovante = models.CharField(max_length=7)
fecha_comprovante = models.DateField(max_length=100)
iva = models.IntegerField()
total = models.IntegerField()
def __str__(self):
return self.serie_comprovante
class Descuento(models.Model):
codigo_descuento = models.CharField(max_length=7)
valor_descuento = models.IntegerField()
def __str__(self):
return self.codigo_descuento
class Venta(models.Model):
descripcion = models.CharField(max_length=100)
total_venta = models.IntegerField()
def __str__(self):
return self.total_venta
class Sucursal(models.Model):
direccion = models.CharField(max_length=100)
numero_sucursal = models.IntegerField()
def __str__(self):
return self.numero_sucursal
class Comuna(models.Model):
direccion = models.CharField(max_length=100)
numero_comuna = models.IntegerField()
numero_sucursal = models.ForeignKey(Sucursal, on_delete=models.DO_NOTHING)
def __ (self):
return self.numero_sucursal
class Region(models.Model):
direccion = models.CharField(max_length=100)
numero_region = models.IntegerField()
numero_comuna= models.ForeignKey(Comuna,on_delete=models.DO_NOTHING)
def __str__(self):
return self.numero_region
class Pedido(models.Model):
numero_pedido = models.IntegerField()
fecha_pedido = models.DateField(max_length=100)
iva = models.IntegerField()
def __int__(self):
return self.numero_pedido
class Proveedores(models.Model):
nombre_proveedor = models.CharField(max_length=40)
direccion = models.CharField(max_length=40)
telefono = models.IntegerField()
mail = models.CharField(max_length=100)
numero_pedido = models.ForeignKey(Pedido, on_delete=models.DO_NOTHING)
def __str__(self):
return self.nombre_proveedor
class Suscripcion(models.Model):
fecha_suscripcion = models.DateField
valor_suscripcion = models.IntegerField()
suscrito = models.IntegerField()
|
normal
|
{
"blob_id": "0e19d7251db3382c34ad2d38a7984b65325ecfbf",
"index": 7584,
"step-1": "<mask token>\n\n\nclass Descuento(models.Model):\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.codigo_descuento\n\n\nclass Venta(models.Model):\n descripcion = models.CharField(max_length=100)\n total_venta = models.IntegerField()\n\n def __str__(self):\n return self.total_venta\n\n\nclass Sucursal(models.Model):\n direccion = models.CharField(max_length=100)\n numero_sucursal = models.IntegerField()\n\n def __str__(self):\n return self.numero_sucursal\n\n\nclass Comuna(models.Model):\n direccion = models.CharField(max_length=100)\n numero_comuna = models.IntegerField()\n numero_sucursal = models.ForeignKey(Sucursal, on_delete=models.DO_NOTHING)\n\n def __(self):\n return self.numero_sucursal\n\n\nclass Region(models.Model):\n direccion = models.CharField(max_length=100)\n numero_region = models.IntegerField()\n numero_comuna = models.ForeignKey(Comuna, on_delete=models.DO_NOTHING)\n\n def __str__(self):\n return self.numero_region\n\n\nclass Pedido(models.Model):\n numero_pedido = models.IntegerField()\n fecha_pedido = models.DateField(max_length=100)\n iva = models.IntegerField()\n\n def __int__(self):\n return self.numero_pedido\n\n\nclass Proveedores(models.Model):\n nombre_proveedor = models.CharField(max_length=40)\n direccion = models.CharField(max_length=40)\n telefono = models.IntegerField()\n mail = models.CharField(max_length=100)\n numero_pedido = models.ForeignKey(Pedido, on_delete=models.DO_NOTHING)\n\n def __str__(self):\n return self.nombre_proveedor\n\n\nclass Suscripcion(models.Model):\n fecha_suscripcion = models.DateField\n valor_suscripcion = models.IntegerField()\n suscrito = models.IntegerField()\n",
"step-2": "<mask token>\n\n\nclass Usuario(models.Model):\n mail = models.CharField(max_length=100)\n contraseña = models.CharField(max_length=100)\n rut = models.ForeignKey(Cliente, on_delete=models.CASCADE)\n\n def __str__(self):\n return self.rut\n\n\nclass DetalleVenta(models.Model):\n tipo_comprovante = models.CharField(max_length=100)\n serie_comprovante = models.CharField(max_length=7)\n fecha_comprovante = models.DateField(max_length=100)\n iva = models.IntegerField()\n total = models.IntegerField()\n\n def __str__(self):\n return self.serie_comprovante\n\n\nclass Descuento(models.Model):\n codigo_descuento = models.CharField(max_length=7)\n valor_descuento = models.IntegerField()\n\n def __str__(self):\n return self.codigo_descuento\n\n\nclass Venta(models.Model):\n descripcion = models.CharField(max_length=100)\n total_venta = models.IntegerField()\n\n def __str__(self):\n return self.total_venta\n\n\nclass Sucursal(models.Model):\n direccion = models.CharField(max_length=100)\n numero_sucursal = models.IntegerField()\n\n def __str__(self):\n return self.numero_sucursal\n\n\nclass Comuna(models.Model):\n direccion = models.CharField(max_length=100)\n numero_comuna = models.IntegerField()\n numero_sucursal = models.ForeignKey(Sucursal, on_delete=models.DO_NOTHING)\n\n def __(self):\n return self.numero_sucursal\n\n\nclass Region(models.Model):\n direccion = models.CharField(max_length=100)\n numero_region = models.IntegerField()\n numero_comuna = models.ForeignKey(Comuna, on_delete=models.DO_NOTHING)\n\n def __str__(self):\n return self.numero_region\n\n\nclass Pedido(models.Model):\n numero_pedido = models.IntegerField()\n fecha_pedido = models.DateField(max_length=100)\n iva = models.IntegerField()\n\n def __int__(self):\n return self.numero_pedido\n\n\nclass Proveedores(models.Model):\n nombre_proveedor = models.CharField(max_length=40)\n direccion = models.CharField(max_length=40)\n telefono = models.IntegerField()\n mail = models.CharField(max_length=100)\n numero_pedido = models.ForeignKey(Pedido, on_delete=models.DO_NOTHING)\n\n def __str__(self):\n return self.nombre_proveedor\n\n\nclass Suscripcion(models.Model):\n fecha_suscripcion = models.DateField\n valor_suscripcion = models.IntegerField()\n suscrito = models.IntegerField()\n",
"step-3": "<mask token>\n\n\nclass Producto(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass Cliente(models.Model):\n nombre = models.CharField(max_length=41)\n paterno = models.CharField(max_length=40)\n rut = models.CharField(max_length=9)\n direccion = models.CharField(max_length=40)\n telefono = models.IntegerField()\n mail = models.CharField(max_length=100)\n\n def __str__(self):\n return self.nombre\n\n\nclass Usuario(models.Model):\n mail = models.CharField(max_length=100)\n contraseña = models.CharField(max_length=100)\n rut = models.ForeignKey(Cliente, on_delete=models.CASCADE)\n\n def __str__(self):\n return self.rut\n\n\nclass DetalleVenta(models.Model):\n tipo_comprovante = models.CharField(max_length=100)\n serie_comprovante = models.CharField(max_length=7)\n fecha_comprovante = models.DateField(max_length=100)\n iva = models.IntegerField()\n total = models.IntegerField()\n\n def __str__(self):\n return self.serie_comprovante\n\n\nclass Descuento(models.Model):\n codigo_descuento = models.CharField(max_length=7)\n valor_descuento = models.IntegerField()\n\n def __str__(self):\n return self.codigo_descuento\n\n\nclass Venta(models.Model):\n descripcion = models.CharField(max_length=100)\n total_venta = models.IntegerField()\n\n def __str__(self):\n return self.total_venta\n\n\nclass Sucursal(models.Model):\n direccion = models.CharField(max_length=100)\n numero_sucursal = models.IntegerField()\n\n def __str__(self):\n return self.numero_sucursal\n\n\nclass Comuna(models.Model):\n direccion = models.CharField(max_length=100)\n numero_comuna = models.IntegerField()\n numero_sucursal = models.ForeignKey(Sucursal, on_delete=models.DO_NOTHING)\n\n def __(self):\n return self.numero_sucursal\n\n\nclass Region(models.Model):\n direccion = models.CharField(max_length=100)\n numero_region = models.IntegerField()\n numero_comuna = models.ForeignKey(Comuna, on_delete=models.DO_NOTHING)\n\n def __str__(self):\n return self.numero_region\n\n\nclass Pedido(models.Model):\n numero_pedido = models.IntegerField()\n fecha_pedido = models.DateField(max_length=100)\n iva = models.IntegerField()\n\n def __int__(self):\n return self.numero_pedido\n\n\nclass Proveedores(models.Model):\n nombre_proveedor = models.CharField(max_length=40)\n direccion = models.CharField(max_length=40)\n telefono = models.IntegerField()\n mail = models.CharField(max_length=100)\n numero_pedido = models.ForeignKey(Pedido, on_delete=models.DO_NOTHING)\n\n def __str__(self):\n return self.nombre_proveedor\n\n\nclass Suscripcion(models.Model):\n fecha_suscripcion = models.DateField\n valor_suscripcion = models.IntegerField()\n suscrito = models.IntegerField()\n",
"step-4": "<mask token>\n\n\nclass Producto(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.nombre\n\n\nclass Cliente(models.Model):\n nombre = models.CharField(max_length=41)\n paterno = models.CharField(max_length=40)\n rut = models.CharField(max_length=9)\n direccion = models.CharField(max_length=40)\n telefono = models.IntegerField()\n mail = models.CharField(max_length=100)\n\n def __str__(self):\n return self.nombre\n\n\nclass Usuario(models.Model):\n mail = models.CharField(max_length=100)\n contraseña = models.CharField(max_length=100)\n rut = models.ForeignKey(Cliente, on_delete=models.CASCADE)\n\n def __str__(self):\n return self.rut\n\n\nclass DetalleVenta(models.Model):\n tipo_comprovante = models.CharField(max_length=100)\n serie_comprovante = models.CharField(max_length=7)\n fecha_comprovante = models.DateField(max_length=100)\n iva = models.IntegerField()\n total = models.IntegerField()\n\n def __str__(self):\n return self.serie_comprovante\n\n\nclass Descuento(models.Model):\n codigo_descuento = models.CharField(max_length=7)\n valor_descuento = models.IntegerField()\n\n def __str__(self):\n return self.codigo_descuento\n\n\nclass Venta(models.Model):\n descripcion = models.CharField(max_length=100)\n total_venta = models.IntegerField()\n\n def __str__(self):\n return self.total_venta\n\n\nclass Sucursal(models.Model):\n direccion = models.CharField(max_length=100)\n numero_sucursal = models.IntegerField()\n\n def __str__(self):\n return self.numero_sucursal\n\n\nclass Comuna(models.Model):\n direccion = models.CharField(max_length=100)\n numero_comuna = models.IntegerField()\n numero_sucursal = models.ForeignKey(Sucursal, on_delete=models.DO_NOTHING)\n\n def __(self):\n return self.numero_sucursal\n\n\nclass Region(models.Model):\n direccion = models.CharField(max_length=100)\n numero_region = models.IntegerField()\n numero_comuna = models.ForeignKey(Comuna, on_delete=models.DO_NOTHING)\n\n def __str__(self):\n return self.numero_region\n\n\nclass Pedido(models.Model):\n numero_pedido = models.IntegerField()\n fecha_pedido = models.DateField(max_length=100)\n iva = models.IntegerField()\n\n def __int__(self):\n return self.numero_pedido\n\n\nclass Proveedores(models.Model):\n nombre_proveedor = models.CharField(max_length=40)\n direccion = models.CharField(max_length=40)\n telefono = models.IntegerField()\n mail = models.CharField(max_length=100)\n numero_pedido = models.ForeignKey(Pedido, on_delete=models.DO_NOTHING)\n\n def __str__(self):\n return self.nombre_proveedor\n\n\nclass Suscripcion(models.Model):\n fecha_suscripcion = models.DateField\n valor_suscripcion = models.IntegerField()\n suscrito = models.IntegerField()\n",
"step-5": "from django.db import models\nfrom django.db.models.base import Model\n\n# Create your models here.\nclass Categoria(models.Model):\n categoria = models.CharField(max_length=40)\n def __str__(self):\n return self.categoria\n\nclass Producto(models.Model):\n codigo = models.CharField(max_length=40)\n nombre = models.CharField(max_length=40)\n precio = models.IntegerField()\n stock = models.IntegerField()\n descripcion = models.CharField(max_length=40)\n categoria = models.ForeignKey(Categoria, on_delete=models.CASCADE)\n fecha = models.DateField()\n imagen = models.ImageField(null=True, blank=True)\n\n\n\n def __str__(self):\n return self.nombre\n\nclass Cliente(models.Model):\n nombre = models.CharField(max_length=41)\n paterno = models.CharField(max_length=40)\n rut = models.CharField(max_length=9)\n direccion = models.CharField(max_length=40)\n telefono = models.IntegerField()\n mail = models.CharField(max_length=100)\n\n def __str__(self):\n return self.nombre\n\nclass Usuario(models.Model):\n mail = models.CharField(max_length=100)\n contraseña = models.CharField(max_length=100)\n rut = models.ForeignKey(Cliente, on_delete=models.CASCADE)\n\n def __str__(self):\n return self.rut\n\nclass DetalleVenta(models.Model):\n tipo_comprovante = models.CharField(max_length=100)\n serie_comprovante = models.CharField(max_length=7)\n fecha_comprovante = models.DateField(max_length=100)\n iva = models.IntegerField()\n total = models.IntegerField()\n\n def __str__(self):\n return self.serie_comprovante\n \nclass Descuento(models.Model):\n codigo_descuento = models.CharField(max_length=7)\n valor_descuento = models.IntegerField()\n\n def __str__(self):\n return self.codigo_descuento\n\nclass Venta(models.Model):\n descripcion = models.CharField(max_length=100)\n total_venta = models.IntegerField()\n\n def __str__(self):\n return self.total_venta\n\nclass Sucursal(models.Model):\n direccion = models.CharField(max_length=100)\n numero_sucursal = models.IntegerField()\n\n def __str__(self):\n return self.numero_sucursal\n\nclass Comuna(models.Model):\n direccion = models.CharField(max_length=100)\n numero_comuna = models.IntegerField()\n numero_sucursal = models.ForeignKey(Sucursal, on_delete=models.DO_NOTHING)\n \n def __ (self):\n return self.numero_sucursal\n\nclass Region(models.Model):\n direccion = models.CharField(max_length=100)\n numero_region = models.IntegerField()\n numero_comuna= models.ForeignKey(Comuna,on_delete=models.DO_NOTHING)\n\n def __str__(self):\n return self.numero_region\n\nclass Pedido(models.Model):\n numero_pedido = models.IntegerField()\n fecha_pedido = models.DateField(max_length=100)\n iva = models.IntegerField()\n\n def __int__(self):\n return self.numero_pedido\n\n\nclass Proveedores(models.Model):\n nombre_proveedor = models.CharField(max_length=40)\n direccion = models.CharField(max_length=40)\n telefono = models.IntegerField()\n mail = models.CharField(max_length=100)\n numero_pedido = models.ForeignKey(Pedido, on_delete=models.DO_NOTHING)\n \n def __str__(self):\n return self.nombre_proveedor\n\nclass Suscripcion(models.Model):\n fecha_suscripcion = models.DateField\n valor_suscripcion = models.IntegerField()\n suscrito = models.IntegerField()",
"step-ids": [
22,
29,
33,
34,
40
]
}
|
[
22,
29,
33,
34,
40
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(name='array-sqrt-openmp', description=
'Illustration of Python extensions using OpenMP', author=
'Mihai Duta', author_email='mihai.duta@it.ox.ac.uk', ext_modules=[
c_array_sqrt, f_array_sqrt])
<|reserved_special_token_1|>
<|reserved_special_token_0|>
c_array_sqrt = Extension(name='c_array_sqrt_omp', sources=[
'./src/c_array_sqrt_omp.c'], extra_compile_args=[
'-O2 -ffast-math -std=c99 -fopenmp'], extra_link_args=['-lgomp'])
f_array_sqrt = Extension(name='f_array_sqrt_omp', sources=[
'./src/f_array_sqrt_omp.f90'], extra_compile_args=[
'-O2 -ffast-math -fopenmp'], extra_link_args=['-lgomp'])
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(name='array-sqrt-openmp', description=
'Illustration of Python extensions using OpenMP', author=
'Mihai Duta', author_email='mihai.duta@it.ox.ac.uk', ext_modules=[
c_array_sqrt, f_array_sqrt])
<|reserved_special_token_1|>
from numpy.distutils.core import Extension
c_array_sqrt = Extension(name='c_array_sqrt_omp', sources=[
'./src/c_array_sqrt_omp.c'], extra_compile_args=[
'-O2 -ffast-math -std=c99 -fopenmp'], extra_link_args=['-lgomp'])
f_array_sqrt = Extension(name='f_array_sqrt_omp', sources=[
'./src/f_array_sqrt_omp.f90'], extra_compile_args=[
'-O2 -ffast-math -fopenmp'], extra_link_args=['-lgomp'])
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(name='array-sqrt-openmp', description=
'Illustration of Python extensions using OpenMP', author=
'Mihai Duta', author_email='mihai.duta@it.ox.ac.uk', ext_modules=[
c_array_sqrt, f_array_sqrt])
<|reserved_special_token_1|>
#
# purpose: setup file to install the compiled-language python libraries
# usage: python setup.py config_fc --f90flags="-O2 -fopenmp" install --prefix=$PWD
#
from numpy.distutils.core import Extension
c_array_sqrt = Extension (name = "c_array_sqrt_omp",
sources = ["./src/c_array_sqrt_omp.c"],
extra_compile_args = ["-O2 -ffast-math -std=c99 -fopenmp"],
extra_link_args = ["-lgomp"])
f_array_sqrt = Extension (name = "f_array_sqrt_omp",
sources = ["./src/f_array_sqrt_omp.f90"],
extra_compile_args = ["-O2 -ffast-math -fopenmp"],
extra_link_args = ["-lgomp"])
if __name__ == "__main__":
from numpy.distutils.core import setup
setup ( name = "array-sqrt-openmp",
description = "Illustration of Python extensions using OpenMP",
author = "Mihai Duta",
author_email = "mihai.duta@it.ox.ac.uk",
ext_modules = [c_array_sqrt, f_array_sqrt]
)
# end
|
flexible
|
{
"blob_id": "c24bf42cfeaa1fb8ac188b9e08146762e0e86fed",
"index": 1542,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n from numpy.distutils.core import setup\n setup(name='array-sqrt-openmp', description=\n 'Illustration of Python extensions using OpenMP', author=\n 'Mihai Duta', author_email='mihai.duta@it.ox.ac.uk', ext_modules=[\n c_array_sqrt, f_array_sqrt])\n",
"step-3": "<mask token>\nc_array_sqrt = Extension(name='c_array_sqrt_omp', sources=[\n './src/c_array_sqrt_omp.c'], extra_compile_args=[\n '-O2 -ffast-math -std=c99 -fopenmp'], extra_link_args=['-lgomp'])\nf_array_sqrt = Extension(name='f_array_sqrt_omp', sources=[\n './src/f_array_sqrt_omp.f90'], extra_compile_args=[\n '-O2 -ffast-math -fopenmp'], extra_link_args=['-lgomp'])\nif __name__ == '__main__':\n from numpy.distutils.core import setup\n setup(name='array-sqrt-openmp', description=\n 'Illustration of Python extensions using OpenMP', author=\n 'Mihai Duta', author_email='mihai.duta@it.ox.ac.uk', ext_modules=[\n c_array_sqrt, f_array_sqrt])\n",
"step-4": "from numpy.distutils.core import Extension\nc_array_sqrt = Extension(name='c_array_sqrt_omp', sources=[\n './src/c_array_sqrt_omp.c'], extra_compile_args=[\n '-O2 -ffast-math -std=c99 -fopenmp'], extra_link_args=['-lgomp'])\nf_array_sqrt = Extension(name='f_array_sqrt_omp', sources=[\n './src/f_array_sqrt_omp.f90'], extra_compile_args=[\n '-O2 -ffast-math -fopenmp'], extra_link_args=['-lgomp'])\nif __name__ == '__main__':\n from numpy.distutils.core import setup\n setup(name='array-sqrt-openmp', description=\n 'Illustration of Python extensions using OpenMP', author=\n 'Mihai Duta', author_email='mihai.duta@it.ox.ac.uk', ext_modules=[\n c_array_sqrt, f_array_sqrt])\n",
"step-5": "#\n# purpose: setup file to install the compiled-language python libraries\n# usage: python setup.py config_fc --f90flags=\"-O2 -fopenmp\" install --prefix=$PWD\n#\n\nfrom numpy.distutils.core import Extension\n\nc_array_sqrt = Extension (name = \"c_array_sqrt_omp\",\n sources = [\"./src/c_array_sqrt_omp.c\"],\n extra_compile_args = [\"-O2 -ffast-math -std=c99 -fopenmp\"],\n extra_link_args = [\"-lgomp\"])\n\nf_array_sqrt = Extension (name = \"f_array_sqrt_omp\",\n sources = [\"./src/f_array_sqrt_omp.f90\"],\n extra_compile_args = [\"-O2 -ffast-math -fopenmp\"],\n extra_link_args = [\"-lgomp\"])\n\nif __name__ == \"__main__\":\n from numpy.distutils.core import setup\n setup ( name = \"array-sqrt-openmp\",\n description = \"Illustration of Python extensions using OpenMP\",\n author = \"Mihai Duta\",\n author_email = \"mihai.duta@it.ox.ac.uk\",\n ext_modules = [c_array_sqrt, f_array_sqrt]\n )\n\n# end\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
from datetime import datetime
from app import db
class Vocabulary(db.Model):
_id = db.Column(db.Integer, primary_key=True)
language = db.Column(db.String(64), index=True)
word = db.Column(db.String(64), index=True, unique=True)
date = db.Column(db.DateTime, index=True, default=datetime.utcnow)
|
normal
|
{
"blob_id": "834469f9c6e065fb29dfe1fd3e421fbb752f5094",
"index": 7708,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Vocabulary(db.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Vocabulary(db.Model):\n _id = db.Column(db.Integer, primary_key=True)\n language = db.Column(db.String(64), index=True)\n word = db.Column(db.String(64), index=True, unique=True)\n date = db.Column(db.DateTime, index=True, default=datetime.utcnow)\n",
"step-4": "from datetime import datetime\nfrom app import db\n\n\nclass Vocabulary(db.Model):\n _id = db.Column(db.Integer, primary_key=True)\n language = db.Column(db.String(64), index=True)\n word = db.Column(db.String(64), index=True, unique=True)\n date = db.Column(db.DateTime, index=True, default=datetime.utcnow)\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
import configparser
config = configparser.ConfigParser()
config.read('config.ini')
settings=config['Settings']
colors=config['Colors']
import logging
logger = logging.getLogger(__name__)
logLevel = settings.getint('log-level')
oneLevelUp = 20
#I don't know if this will work before loading the transformers module?
#silence transformers outputs when loading model
logging.getLogger("transformers.tokenization_utils").setLevel(logLevel+oneLevelUp)
logging.getLogger("transformers.modeling_utils").setLevel(logLevel+oneLevelUp)
logging.getLogger("transformers.configuration_utils").setLevel(logLevel+oneLevelUp)
logging.basicConfig(
format='%(asctime)s - %(levelname)s - %(message)s',
datefmt='%m/%d/%Y %H:%M%S',
level=logLevel+oneLevelUp
)
logger.setLevel(logLevel)
|
normal
|
{
"blob_id": "e4fb932c476ca0222a077a43499bf9164e1f27d0",
"index": 8896,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nconfig.read('config.ini')\n<mask token>\nlogging.getLogger('transformers.tokenization_utils').setLevel(logLevel +\n oneLevelUp)\nlogging.getLogger('transformers.modeling_utils').setLevel(logLevel + oneLevelUp\n )\nlogging.getLogger('transformers.configuration_utils').setLevel(logLevel +\n oneLevelUp)\nlogging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s',\n datefmt='%m/%d/%Y %H:%M%S', level=logLevel + oneLevelUp)\nlogger.setLevel(logLevel)\n",
"step-3": "<mask token>\nconfig = configparser.ConfigParser()\nconfig.read('config.ini')\nsettings = config['Settings']\ncolors = config['Colors']\n<mask token>\nlogger = logging.getLogger(__name__)\nlogLevel = settings.getint('log-level')\noneLevelUp = 20\nlogging.getLogger('transformers.tokenization_utils').setLevel(logLevel +\n oneLevelUp)\nlogging.getLogger('transformers.modeling_utils').setLevel(logLevel + oneLevelUp\n )\nlogging.getLogger('transformers.configuration_utils').setLevel(logLevel +\n oneLevelUp)\nlogging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s',\n datefmt='%m/%d/%Y %H:%M%S', level=logLevel + oneLevelUp)\nlogger.setLevel(logLevel)\n",
"step-4": "import configparser\nconfig = configparser.ConfigParser()\nconfig.read('config.ini')\nsettings = config['Settings']\ncolors = config['Colors']\nimport logging\nlogger = logging.getLogger(__name__)\nlogLevel = settings.getint('log-level')\noneLevelUp = 20\nlogging.getLogger('transformers.tokenization_utils').setLevel(logLevel +\n oneLevelUp)\nlogging.getLogger('transformers.modeling_utils').setLevel(logLevel + oneLevelUp\n )\nlogging.getLogger('transformers.configuration_utils').setLevel(logLevel +\n oneLevelUp)\nlogging.basicConfig(format='%(asctime)s - %(levelname)s - %(message)s',\n datefmt='%m/%d/%Y %H:%M%S', level=logLevel + oneLevelUp)\nlogger.setLevel(logLevel)\n",
"step-5": "import configparser\nconfig = configparser.ConfigParser()\nconfig.read('config.ini')\nsettings=config['Settings']\ncolors=config['Colors']\n\nimport logging\n\nlogger = logging.getLogger(__name__)\nlogLevel = settings.getint('log-level')\noneLevelUp = 20\n\n#I don't know if this will work before loading the transformers module?\n#silence transformers outputs when loading model\nlogging.getLogger(\"transformers.tokenization_utils\").setLevel(logLevel+oneLevelUp)\nlogging.getLogger(\"transformers.modeling_utils\").setLevel(logLevel+oneLevelUp)\nlogging.getLogger(\"transformers.configuration_utils\").setLevel(logLevel+oneLevelUp)\n\nlogging.basicConfig(\n format='%(asctime)s - %(levelname)s - %(message)s',\n datefmt='%m/%d/%Y %H:%M%S',\n level=logLevel+oneLevelUp\n)\nlogger.setLevel(logLevel)\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class BaseHandler(webapp2.RequestHandler):
@webapp2.cached_property
def auth(self):
"""Shortcut to access the auth instance as a property."""
return auth.get_auth()
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
@webapp2.cached_property
def session(self):
"""Shortcut to access the current session."""
return self.session_store.get_session(backend='datastore')
def render_template(self, view_filename, params=None):
if not params:
params = {}
user = self.user_info
params['user'] = user
path = os.path.join(os.path.dirname(__file__), 'views', view_filename)
self.response.out.write(template.render(path, params))
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def dispatch(self):
self.session_store = sessions.get_store(request=self.request)
try:
webapp2.RequestHandler.dispatch(self)
finally:
self.session_store.save_sessions(self.response)
class MainHandler(BaseHandler):
def get(self):
user = self.user
if not user:
self.render_template('about.html')
else:
params = {'balance': user.balance}
self.render_template('home.html', params)
class AboutHandler(BaseHandler):
def get(self):
self.render_template('about.html')
class TrendingHandler(BaseHandler):
def get(self):
self.render_template('trending.html')
class TipHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
failed = False
user = self.user
tipReceiver = self.request.get('tipReceiver')
tipReceiver = self.user_model.get_by_auth_id(tipReceiver)
amount = self.request.get('tip')
amount = float(amount)
try:
tip.tip(user, tipReceiver, amount)
except:
failed = True
self._serve_page(failed)
def _serve_page(self, failed=False):
params = {'failed': failed}
self.render_template('tip.html', params)
<|reserved_special_token_0|>
class AddCreditsHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
user = self.user
credits = self.request.get('credits')
credits = float(credits)
user.balance += credits
user.put()
serve_profile_page(self)
def _serve_page(self):
user = self.user
params = {}
self.render_template('add_credits.html', params)
class LogHandler(BaseHandler):
@user_required
def get(self):
user = self.user
keys = tip.TipTransactionLogShardConfig.all_keys(user)
logs = keys[0].get()
if logs:
message = {'logs': logs.logs}
else:
message = None
self.send_json(message)
class ProfileHandler(BaseHandler):
@user_required
def get(self):
serve_profile_page(self)
class SignupHandler(BaseHandler):
def get(self):
self.render_template('signup.html')
def post(self):
user_name = self.request.get('username')
email = self.request.get('email')
name = self.request.get('name')
password = self.request.get('password')
last_name = self.request.get('lastname')
unique_properties = ['email_address']
user_data = self.user_model.create_user(user_name,
unique_properties, email_address=email, name=name, password_raw
=password, last_name=last_name, balance=float(0), tip_log_count
=0, verified=False)
if not user_data[0]:
self.display_message(
'Unable to create user for email %s because of duplicate keys %s'
% (user_name, user_data[1]))
return
user = user_data[1]
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='v', user_id=
user_id, signup_token=token, _full=True)
msg = (
'Send an email to user in order to verify their address. They will be able to do so by visiting <a href="{url}">{url}</a>'
)
self.display_message(msg.format(url=verification_url))
class ForgotPasswordHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
user = self.user_model.get_by_auth_id(username)
if not user:
logging.info('Could not find any user entry for username %s',
username)
self._serve_page(not_found=True)
return
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='p', user_id=
user_id, signup_token=token, _full=True)
msg = (
'Send an email to user in order to reset their password. They will be able to do so by visiting <a href="{url}">{url}</a>'
)
self.display_message(msg.format(url=verification_url))
def _serve_page(self, not_found=False):
username = self.request.get('username')
params = {'username': username, 'not_found': not_found}
self.render_template('forgot.html', params)
class VerificationHandler(BaseHandler):
def get(self, *args, **kwargs):
user = None
user_id = kwargs['user_id']
signup_token = kwargs['signup_token']
verification_type = kwargs['type']
user, ts = self.user_model.get_by_auth_token(int(user_id),
signup_token, 'signup')
if not user:
logging.info(
'Could not find any user with id "%s" signup token "%s"',
user_id, signup_token)
self.abort(404)
self.auth.set_session(self.auth.store.user_to_dict(user), remember=True
)
if verification_type == 'v':
self.user_model.delete_signup_token(user.get_id(), signup_token)
if not user.verified:
user.verified = True
user.put()
self.display_message('User email address has been verified.')
return
elif verification_type == 'p':
params = {'user': user, 'token': signup_token}
self.render_template('resetpassword.html', params)
else:
logging.info('verification type not supported')
self.abort(404)
class SetPasswordHandler(BaseHandler):
@user_required
def post(self):
password = self.request.get('password')
old_token = self.request.get('t')
if not password or password != self.request.get('confirm_password'):
self.display_message('passwords do not match')
return
user = self.user
user.set_password(password)
user.put()
self.user_model.delete_signup_token(user.get_id(), old_token)
self.display_message('Password updated')
class LoginHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
password = self.request.get('password')
try:
u = self.auth.get_user_by_password(username, password, remember
=True, save_session=True)
user = self.user
tip.coalesce_balance(user)
self.redirect(self.uri_for('home'))
except (InvalidAuthIdError, InvalidPasswordError) as e:
logging.info('Login failed for user %s because of %s', username,
type(e))
self._serve_page(True)
def _serve_page(self, failed=False):
username = self.request.get('username')
params = {'username': username, 'failed': failed}
self.render_template('login.html', params)
class LogoutHandler(BaseHandler):
def get(self):
self.auth.unset_session()
self.redirect(self.uri_for('home'))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BaseHandler(webapp2.RequestHandler):
@webapp2.cached_property
def auth(self):
"""Shortcut to access the auth instance as a property."""
return auth.get_auth()
<|reserved_special_token_0|>
@webapp2.cached_property
def user(self):
"""Shortcut to access the current logged in user.
Unlike user_info, it fetches information from the persistence layer and
returns an instance of the underlying model.
:returns
The instance of the user model associated to the logged in user.
"""
u = self.user_info
return self.user_model.get_by_id(u['user_id']) if u else None
<|reserved_special_token_0|>
@webapp2.cached_property
def session(self):
"""Shortcut to access the current session."""
return self.session_store.get_session(backend='datastore')
def render_template(self, view_filename, params=None):
if not params:
params = {}
user = self.user_info
params['user'] = user
path = os.path.join(os.path.dirname(__file__), 'views', view_filename)
self.response.out.write(template.render(path, params))
<|reserved_special_token_0|>
def display_message(self, message):
"""Utility function to display a template with a simple message."""
params = {'message': message}
self.render_template('message.html', params)
def dispatch(self):
self.session_store = sessions.get_store(request=self.request)
try:
webapp2.RequestHandler.dispatch(self)
finally:
self.session_store.save_sessions(self.response)
class MainHandler(BaseHandler):
def get(self):
user = self.user
if not user:
self.render_template('about.html')
else:
params = {'balance': user.balance}
self.render_template('home.html', params)
class AboutHandler(BaseHandler):
def get(self):
self.render_template('about.html')
class TrendingHandler(BaseHandler):
def get(self):
self.render_template('trending.html')
class TipHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
failed = False
user = self.user
tipReceiver = self.request.get('tipReceiver')
tipReceiver = self.user_model.get_by_auth_id(tipReceiver)
amount = self.request.get('tip')
amount = float(amount)
try:
tip.tip(user, tipReceiver, amount)
except:
failed = True
self._serve_page(failed)
def _serve_page(self, failed=False):
params = {'failed': failed}
self.render_template('tip.html', params)
<|reserved_special_token_0|>
class AddCreditsHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
user = self.user
credits = self.request.get('credits')
credits = float(credits)
user.balance += credits
user.put()
serve_profile_page(self)
def _serve_page(self):
user = self.user
params = {}
self.render_template('add_credits.html', params)
class LogHandler(BaseHandler):
@user_required
def get(self):
user = self.user
keys = tip.TipTransactionLogShardConfig.all_keys(user)
logs = keys[0].get()
if logs:
message = {'logs': logs.logs}
else:
message = None
self.send_json(message)
class ProfileHandler(BaseHandler):
@user_required
def get(self):
serve_profile_page(self)
class SignupHandler(BaseHandler):
def get(self):
self.render_template('signup.html')
def post(self):
user_name = self.request.get('username')
email = self.request.get('email')
name = self.request.get('name')
password = self.request.get('password')
last_name = self.request.get('lastname')
unique_properties = ['email_address']
user_data = self.user_model.create_user(user_name,
unique_properties, email_address=email, name=name, password_raw
=password, last_name=last_name, balance=float(0), tip_log_count
=0, verified=False)
if not user_data[0]:
self.display_message(
'Unable to create user for email %s because of duplicate keys %s'
% (user_name, user_data[1]))
return
user = user_data[1]
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='v', user_id=
user_id, signup_token=token, _full=True)
msg = (
'Send an email to user in order to verify their address. They will be able to do so by visiting <a href="{url}">{url}</a>'
)
self.display_message(msg.format(url=verification_url))
class ForgotPasswordHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
user = self.user_model.get_by_auth_id(username)
if not user:
logging.info('Could not find any user entry for username %s',
username)
self._serve_page(not_found=True)
return
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='p', user_id=
user_id, signup_token=token, _full=True)
msg = (
'Send an email to user in order to reset their password. They will be able to do so by visiting <a href="{url}">{url}</a>'
)
self.display_message(msg.format(url=verification_url))
def _serve_page(self, not_found=False):
username = self.request.get('username')
params = {'username': username, 'not_found': not_found}
self.render_template('forgot.html', params)
class VerificationHandler(BaseHandler):
def get(self, *args, **kwargs):
user = None
user_id = kwargs['user_id']
signup_token = kwargs['signup_token']
verification_type = kwargs['type']
user, ts = self.user_model.get_by_auth_token(int(user_id),
signup_token, 'signup')
if not user:
logging.info(
'Could not find any user with id "%s" signup token "%s"',
user_id, signup_token)
self.abort(404)
self.auth.set_session(self.auth.store.user_to_dict(user), remember=True
)
if verification_type == 'v':
self.user_model.delete_signup_token(user.get_id(), signup_token)
if not user.verified:
user.verified = True
user.put()
self.display_message('User email address has been verified.')
return
elif verification_type == 'p':
params = {'user': user, 'token': signup_token}
self.render_template('resetpassword.html', params)
else:
logging.info('verification type not supported')
self.abort(404)
class SetPasswordHandler(BaseHandler):
@user_required
def post(self):
password = self.request.get('password')
old_token = self.request.get('t')
if not password or password != self.request.get('confirm_password'):
self.display_message('passwords do not match')
return
user = self.user
user.set_password(password)
user.put()
self.user_model.delete_signup_token(user.get_id(), old_token)
self.display_message('Password updated')
class LoginHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
password = self.request.get('password')
try:
u = self.auth.get_user_by_password(username, password, remember
=True, save_session=True)
user = self.user
tip.coalesce_balance(user)
self.redirect(self.uri_for('home'))
except (InvalidAuthIdError, InvalidPasswordError) as e:
logging.info('Login failed for user %s because of %s', username,
type(e))
self._serve_page(True)
def _serve_page(self, failed=False):
username = self.request.get('username')
params = {'username': username, 'failed': failed}
self.render_template('login.html', params)
class LogoutHandler(BaseHandler):
def get(self):
self.auth.unset_session()
self.redirect(self.uri_for('home'))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def user_required(handler):
"""
Decorator that checks if there's a user associated with the current session.
Will also fail if there's no session present.
"""
def check_login(self, *args, **kwargs):
auth = self.auth
if not auth.get_user_by_session():
self.redirect(self.uri_for('login'), abort=True)
else:
return handler(self, *args, **kwargs)
return check_login
class BaseHandler(webapp2.RequestHandler):
@webapp2.cached_property
def auth(self):
"""Shortcut to access the auth instance as a property."""
return auth.get_auth()
@webapp2.cached_property
def user_info(self):
"""Shortcut to access a subset of the user attributes that are stored
in the session.
The list of attributes to store in the session is specified in
config['webapp2_extras.auth']['user_attributes'].
:returns
A dictionary with most user information
"""
return self.auth.get_user_by_session()
@webapp2.cached_property
def user(self):
"""Shortcut to access the current logged in user.
Unlike user_info, it fetches information from the persistence layer and
returns an instance of the underlying model.
:returns
The instance of the user model associated to the logged in user.
"""
u = self.user_info
return self.user_model.get_by_id(u['user_id']) if u else None
@webapp2.cached_property
def user_model(self):
"""Returns the implementation of the user model.
It is consistent with config['webapp2_extras.auth']['user_model'], if set.
"""
return self.auth.store.user_model
@webapp2.cached_property
def session(self):
"""Shortcut to access the current session."""
return self.session_store.get_session(backend='datastore')
def render_template(self, view_filename, params=None):
if not params:
params = {}
user = self.user_info
params['user'] = user
path = os.path.join(os.path.dirname(__file__), 'views', view_filename)
self.response.out.write(template.render(path, params))
def send_json(self, message):
self.response.headers['Content-Type'] = 'application/json'
self.response.out.write(json.dumps(message))
def display_message(self, message):
"""Utility function to display a template with a simple message."""
params = {'message': message}
self.render_template('message.html', params)
def dispatch(self):
self.session_store = sessions.get_store(request=self.request)
try:
webapp2.RequestHandler.dispatch(self)
finally:
self.session_store.save_sessions(self.response)
class MainHandler(BaseHandler):
def get(self):
user = self.user
if not user:
self.render_template('about.html')
else:
params = {'balance': user.balance}
self.render_template('home.html', params)
class AboutHandler(BaseHandler):
def get(self):
self.render_template('about.html')
class TrendingHandler(BaseHandler):
def get(self):
self.render_template('trending.html')
class TipHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
failed = False
user = self.user
tipReceiver = self.request.get('tipReceiver')
tipReceiver = self.user_model.get_by_auth_id(tipReceiver)
amount = self.request.get('tip')
amount = float(amount)
try:
tip.tip(user, tipReceiver, amount)
except:
failed = True
self._serve_page(failed)
def _serve_page(self, failed=False):
params = {'failed': failed}
self.render_template('tip.html', params)
def serve_profile_page(self):
user = self.user
params = {'auth_id': user.auth_ids[0], 'first_name': user.name,
'last_name': user.last_name, 'email_address': user.email_address,
'balance': user.balance}
self.render_template('profile.html', params)
class AddCreditsHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
user = self.user
credits = self.request.get('credits')
credits = float(credits)
user.balance += credits
user.put()
serve_profile_page(self)
def _serve_page(self):
user = self.user
params = {}
self.render_template('add_credits.html', params)
class LogHandler(BaseHandler):
@user_required
def get(self):
user = self.user
keys = tip.TipTransactionLogShardConfig.all_keys(user)
logs = keys[0].get()
if logs:
message = {'logs': logs.logs}
else:
message = None
self.send_json(message)
class ProfileHandler(BaseHandler):
@user_required
def get(self):
serve_profile_page(self)
class SignupHandler(BaseHandler):
def get(self):
self.render_template('signup.html')
def post(self):
user_name = self.request.get('username')
email = self.request.get('email')
name = self.request.get('name')
password = self.request.get('password')
last_name = self.request.get('lastname')
unique_properties = ['email_address']
user_data = self.user_model.create_user(user_name,
unique_properties, email_address=email, name=name, password_raw
=password, last_name=last_name, balance=float(0), tip_log_count
=0, verified=False)
if not user_data[0]:
self.display_message(
'Unable to create user for email %s because of duplicate keys %s'
% (user_name, user_data[1]))
return
user = user_data[1]
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='v', user_id=
user_id, signup_token=token, _full=True)
msg = (
'Send an email to user in order to verify their address. They will be able to do so by visiting <a href="{url}">{url}</a>'
)
self.display_message(msg.format(url=verification_url))
class ForgotPasswordHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
user = self.user_model.get_by_auth_id(username)
if not user:
logging.info('Could not find any user entry for username %s',
username)
self._serve_page(not_found=True)
return
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='p', user_id=
user_id, signup_token=token, _full=True)
msg = (
'Send an email to user in order to reset their password. They will be able to do so by visiting <a href="{url}">{url}</a>'
)
self.display_message(msg.format(url=verification_url))
def _serve_page(self, not_found=False):
username = self.request.get('username')
params = {'username': username, 'not_found': not_found}
self.render_template('forgot.html', params)
class VerificationHandler(BaseHandler):
def get(self, *args, **kwargs):
user = None
user_id = kwargs['user_id']
signup_token = kwargs['signup_token']
verification_type = kwargs['type']
user, ts = self.user_model.get_by_auth_token(int(user_id),
signup_token, 'signup')
if not user:
logging.info(
'Could not find any user with id "%s" signup token "%s"',
user_id, signup_token)
self.abort(404)
self.auth.set_session(self.auth.store.user_to_dict(user), remember=True
)
if verification_type == 'v':
self.user_model.delete_signup_token(user.get_id(), signup_token)
if not user.verified:
user.verified = True
user.put()
self.display_message('User email address has been verified.')
return
elif verification_type == 'p':
params = {'user': user, 'token': signup_token}
self.render_template('resetpassword.html', params)
else:
logging.info('verification type not supported')
self.abort(404)
class SetPasswordHandler(BaseHandler):
@user_required
def post(self):
password = self.request.get('password')
old_token = self.request.get('t')
if not password or password != self.request.get('confirm_password'):
self.display_message('passwords do not match')
return
user = self.user
user.set_password(password)
user.put()
self.user_model.delete_signup_token(user.get_id(), old_token)
self.display_message('Password updated')
class LoginHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
password = self.request.get('password')
try:
u = self.auth.get_user_by_password(username, password, remember
=True, save_session=True)
user = self.user
tip.coalesce_balance(user)
self.redirect(self.uri_for('home'))
except (InvalidAuthIdError, InvalidPasswordError) as e:
logging.info('Login failed for user %s because of %s', username,
type(e))
self._serve_page(True)
def _serve_page(self, failed=False):
username = self.request.get('username')
params = {'username': username, 'failed': failed}
self.render_template('login.html', params)
class LogoutHandler(BaseHandler):
def get(self):
self.auth.unset_session()
self.redirect(self.uri_for('home'))
<|reserved_special_token_0|>
logging.getLogger().setLevel(logging.DEBUG)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def user_required(handler):
"""
Decorator that checks if there's a user associated with the current session.
Will also fail if there's no session present.
"""
def check_login(self, *args, **kwargs):
auth = self.auth
if not auth.get_user_by_session():
self.redirect(self.uri_for('login'), abort=True)
else:
return handler(self, *args, **kwargs)
return check_login
class BaseHandler(webapp2.RequestHandler):
@webapp2.cached_property
def auth(self):
"""Shortcut to access the auth instance as a property."""
return auth.get_auth()
@webapp2.cached_property
def user_info(self):
"""Shortcut to access a subset of the user attributes that are stored
in the session.
The list of attributes to store in the session is specified in
config['webapp2_extras.auth']['user_attributes'].
:returns
A dictionary with most user information
"""
return self.auth.get_user_by_session()
@webapp2.cached_property
def user(self):
"""Shortcut to access the current logged in user.
Unlike user_info, it fetches information from the persistence layer and
returns an instance of the underlying model.
:returns
The instance of the user model associated to the logged in user.
"""
u = self.user_info
return self.user_model.get_by_id(u['user_id']) if u else None
@webapp2.cached_property
def user_model(self):
"""Returns the implementation of the user model.
It is consistent with config['webapp2_extras.auth']['user_model'], if set.
"""
return self.auth.store.user_model
@webapp2.cached_property
def session(self):
"""Shortcut to access the current session."""
return self.session_store.get_session(backend='datastore')
def render_template(self, view_filename, params=None):
if not params:
params = {}
user = self.user_info
params['user'] = user
path = os.path.join(os.path.dirname(__file__), 'views', view_filename)
self.response.out.write(template.render(path, params))
def send_json(self, message):
self.response.headers['Content-Type'] = 'application/json'
self.response.out.write(json.dumps(message))
def display_message(self, message):
"""Utility function to display a template with a simple message."""
params = {'message': message}
self.render_template('message.html', params)
def dispatch(self):
self.session_store = sessions.get_store(request=self.request)
try:
webapp2.RequestHandler.dispatch(self)
finally:
self.session_store.save_sessions(self.response)
class MainHandler(BaseHandler):
def get(self):
user = self.user
if not user:
self.render_template('about.html')
else:
params = {'balance': user.balance}
self.render_template('home.html', params)
class AboutHandler(BaseHandler):
def get(self):
self.render_template('about.html')
class TrendingHandler(BaseHandler):
def get(self):
self.render_template('trending.html')
class TipHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
failed = False
user = self.user
tipReceiver = self.request.get('tipReceiver')
tipReceiver = self.user_model.get_by_auth_id(tipReceiver)
amount = self.request.get('tip')
amount = float(amount)
try:
tip.tip(user, tipReceiver, amount)
except:
failed = True
self._serve_page(failed)
def _serve_page(self, failed=False):
params = {'failed': failed}
self.render_template('tip.html', params)
def serve_profile_page(self):
user = self.user
params = {'auth_id': user.auth_ids[0], 'first_name': user.name,
'last_name': user.last_name, 'email_address': user.email_address,
'balance': user.balance}
self.render_template('profile.html', params)
class AddCreditsHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
user = self.user
credits = self.request.get('credits')
credits = float(credits)
user.balance += credits
user.put()
serve_profile_page(self)
def _serve_page(self):
user = self.user
params = {}
self.render_template('add_credits.html', params)
class LogHandler(BaseHandler):
@user_required
def get(self):
user = self.user
keys = tip.TipTransactionLogShardConfig.all_keys(user)
logs = keys[0].get()
if logs:
message = {'logs': logs.logs}
else:
message = None
self.send_json(message)
class ProfileHandler(BaseHandler):
@user_required
def get(self):
serve_profile_page(self)
class SignupHandler(BaseHandler):
def get(self):
self.render_template('signup.html')
def post(self):
user_name = self.request.get('username')
email = self.request.get('email')
name = self.request.get('name')
password = self.request.get('password')
last_name = self.request.get('lastname')
unique_properties = ['email_address']
user_data = self.user_model.create_user(user_name,
unique_properties, email_address=email, name=name, password_raw
=password, last_name=last_name, balance=float(0), tip_log_count
=0, verified=False)
if not user_data[0]:
self.display_message(
'Unable to create user for email %s because of duplicate keys %s'
% (user_name, user_data[1]))
return
user = user_data[1]
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='v', user_id=
user_id, signup_token=token, _full=True)
msg = (
'Send an email to user in order to verify their address. They will be able to do so by visiting <a href="{url}">{url}</a>'
)
self.display_message(msg.format(url=verification_url))
class ForgotPasswordHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
user = self.user_model.get_by_auth_id(username)
if not user:
logging.info('Could not find any user entry for username %s',
username)
self._serve_page(not_found=True)
return
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='p', user_id=
user_id, signup_token=token, _full=True)
msg = (
'Send an email to user in order to reset their password. They will be able to do so by visiting <a href="{url}">{url}</a>'
)
self.display_message(msg.format(url=verification_url))
def _serve_page(self, not_found=False):
username = self.request.get('username')
params = {'username': username, 'not_found': not_found}
self.render_template('forgot.html', params)
class VerificationHandler(BaseHandler):
def get(self, *args, **kwargs):
user = None
user_id = kwargs['user_id']
signup_token = kwargs['signup_token']
verification_type = kwargs['type']
user, ts = self.user_model.get_by_auth_token(int(user_id),
signup_token, 'signup')
if not user:
logging.info(
'Could not find any user with id "%s" signup token "%s"',
user_id, signup_token)
self.abort(404)
self.auth.set_session(self.auth.store.user_to_dict(user), remember=True
)
if verification_type == 'v':
self.user_model.delete_signup_token(user.get_id(), signup_token)
if not user.verified:
user.verified = True
user.put()
self.display_message('User email address has been verified.')
return
elif verification_type == 'p':
params = {'user': user, 'token': signup_token}
self.render_template('resetpassword.html', params)
else:
logging.info('verification type not supported')
self.abort(404)
class SetPasswordHandler(BaseHandler):
@user_required
def post(self):
password = self.request.get('password')
old_token = self.request.get('t')
if not password or password != self.request.get('confirm_password'):
self.display_message('passwords do not match')
return
user = self.user
user.set_password(password)
user.put()
self.user_model.delete_signup_token(user.get_id(), old_token)
self.display_message('Password updated')
class LoginHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
password = self.request.get('password')
try:
u = self.auth.get_user_by_password(username, password, remember
=True, save_session=True)
user = self.user
tip.coalesce_balance(user)
self.redirect(self.uri_for('home'))
except (InvalidAuthIdError, InvalidPasswordError) as e:
logging.info('Login failed for user %s because of %s', username,
type(e))
self._serve_page(True)
def _serve_page(self, failed=False):
username = self.request.get('username')
params = {'username': username, 'failed': failed}
self.render_template('login.html', params)
class LogoutHandler(BaseHandler):
def get(self):
self.auth.unset_session()
self.redirect(self.uri_for('home'))
config = {'webapp2_extras.auth': {'user_model': 'models.User',
'user_attributes': ['name']}, 'webapp2_extras.sessions': {'secret_key':
'YOUR_SECRET_KEY'}}
app = webapp2.WSGIApplication([webapp2.Route('/', MainHandler, name='home'),
webapp2.Route('/home', MainHandler, name='home'), webapp2.Route(
'/about', AboutHandler, name='about'), webapp2.Route('/trending',
TrendingHandler, name='trending'), webapp2.Route('/tip', TipHandler,
name='tip'), webapp2.Route('/add_credits', AddCreditsHandler, name=
'add_credits'), webapp2.Route('/get_logs', LogHandler, name='get_logs'),
webapp2.Route('/profile', ProfileHandler, name='profile'), webapp2.
Route('/signup', SignupHandler), webapp2.Route(
'/<type:v|p>/<user_id:\\d+>-<signup_token:.+>', handler=
VerificationHandler, name='verification'), webapp2.Route('/password',
SetPasswordHandler), webapp2.Route('/forgot', ForgotPasswordHandler,
name='forgot'), webapp2.Route('/login', LoginHandler, name='login'),
webapp2.Route('/logout', LogoutHandler, name='logout')], debug=True,
config=config)
logging.getLogger().setLevel(logging.DEBUG)
<|reserved_special_token_1|>
#!/usr/bin/env python
from google.appengine.ext.webapp import template
from google.appengine.ext import ndb
import logging
import os.path
import webapp2
import json
from webapp2_extras import auth
from webapp2_extras import sessions
from webapp2_extras.auth import InvalidAuthIdError
from webapp2_extras.auth import InvalidPasswordError
import tip
def user_required(handler):
"""
Decorator that checks if there's a user associated with the current session.
Will also fail if there's no session present.
"""
def check_login(self, *args, **kwargs):
auth = self.auth
if not auth.get_user_by_session():
self.redirect(self.uri_for('login'), abort=True)
else:
return handler(self, *args, **kwargs)
return check_login
class BaseHandler(webapp2.RequestHandler):
@webapp2.cached_property
def auth(self):
"""Shortcut to access the auth instance as a property."""
return auth.get_auth()
@webapp2.cached_property
def user_info(self):
"""Shortcut to access a subset of the user attributes that are stored
in the session.
The list of attributes to store in the session is specified in
config['webapp2_extras.auth']['user_attributes'].
:returns
A dictionary with most user information
"""
return self.auth.get_user_by_session()
@webapp2.cached_property
def user(self):
"""Shortcut to access the current logged in user.
Unlike user_info, it fetches information from the persistence layer and
returns an instance of the underlying model.
:returns
The instance of the user model associated to the logged in user.
"""
u = self.user_info
return self.user_model.get_by_id(u['user_id']) if u else None
@webapp2.cached_property
def user_model(self):
"""Returns the implementation of the user model.
It is consistent with config['webapp2_extras.auth']['user_model'], if set.
"""
return self.auth.store.user_model
@webapp2.cached_property
def session(self):
"""Shortcut to access the current session."""
return self.session_store.get_session(backend="datastore")
def render_template(self, view_filename, params=None):
if not params:
params = {}
user = self.user_info
params['user'] = user
path = os.path.join(os.path.dirname(__file__), 'views', view_filename)
self.response.out.write(template.render(path, params))
def send_json(self, message):
self.response.headers['Content-Type'] = 'application/json'
self.response.out.write(json.dumps(message))
def display_message(self, message):
"""Utility function to display a template with a simple message."""
params = {
'message': message
}
self.render_template('message.html', params)
# this is needed for webapp2 sessions to work
def dispatch(self):
# Get a session store for this request.
self.session_store = sessions.get_store(request=self.request)
try:
# Dispatch the request.
webapp2.RequestHandler.dispatch(self)
finally:
# Save all sessions.
self.session_store.save_sessions(self.response)
class MainHandler(BaseHandler):
def get(self):
user = self.user
if not user:
self.render_template('about.html')
else:
params = {
'balance': user.balance,
}
self.render_template('home.html', params)
class AboutHandler(BaseHandler):
def get(self):
self.render_template('about.html')
class TrendingHandler(BaseHandler):
def get(self):
self.render_template('trending.html')
class TipHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
failed=False
user = self.user
tipReceiver = self.request.get('tipReceiver')
tipReceiver = self.user_model.get_by_auth_id(tipReceiver)
amount = self.request.get('tip')
amount = float(amount)
try:
tip.tip(user, tipReceiver, amount)
except:
failed=True
self._serve_page(failed)
def _serve_page(self, failed=False):
params = {
'failed': failed
}
self.render_template('tip.html', params)
def serve_profile_page(self):
user = self.user
params = {
'auth_id': user.auth_ids[0],
'first_name': user.name,
'last_name': user.last_name,
'email_address': user.email_address,
'balance': user.balance,
}
self.render_template('profile.html', params)
class AddCreditsHandler(BaseHandler):
@user_required
def get(self):
self._serve_page()
@user_required
def post(self):
user = self.user
credits = self.request.get('credits')
credits = float(credits)
user.balance += credits
user.put()
#User a redirect here instead
serve_profile_page(self)
def _serve_page(self):
user = self.user
params = {
}
self.render_template('add_credits.html', params)
class LogHandler(BaseHandler):
@user_required
def get(self):
user = self.user
keys = tip.TipTransactionLogShardConfig.all_keys(user)
logs = keys[0].get()
if logs:
message = { 'logs': logs.logs }
else:
message = None
self.send_json(message)
class ProfileHandler(BaseHandler):
@user_required
def get(self):
serve_profile_page(self)
class SignupHandler(BaseHandler):
def get(self):
self.render_template('signup.html')
def post(self):
user_name = self.request.get('username')
email = self.request.get('email')
name = self.request.get('name')
password = self.request.get('password')
last_name = self.request.get('lastname')
unique_properties = ['email_address']
user_data = self.user_model.create_user(user_name,
unique_properties,
email_address=email, name=name, password_raw=password,
last_name=last_name, balance=float(0), tip_log_count=0, verified=False)
if not user_data[0]: #user_data is a tuple
self.display_message('Unable to create user for email %s because of \
duplicate keys %s' % (user_name, user_data[1]))
return
user = user_data[1]
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='v', user_id=user_id,
signup_token=token, _full=True)
msg = 'Send an email to user in order to verify their address. \
They will be able to do so by visiting <a href="{url}">{url}</a>'
self.display_message(msg.format(url=verification_url))
class ForgotPasswordHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
user = self.user_model.get_by_auth_id(username)
if not user:
logging.info('Could not find any user entry for username %s', username)
self._serve_page(not_found=True)
return
user_id = user.get_id()
token = self.user_model.create_signup_token(user_id)
verification_url = self.uri_for('verification', type='p', user_id=user_id,
signup_token=token, _full=True)
msg = 'Send an email to user in order to reset their password. \
They will be able to do so by visiting <a href="{url}">{url}</a>'
self.display_message(msg.format(url=verification_url))
def _serve_page(self, not_found=False):
username = self.request.get('username')
params = {
'username': username,
'not_found': not_found
}
self.render_template('forgot.html', params)
class VerificationHandler(BaseHandler):
def get(self, *args, **kwargs):
user = None
user_id = kwargs['user_id']
signup_token = kwargs['signup_token']
verification_type = kwargs['type']
# it should be something more concise like
# self.auth.get_user_by_token(user_id, signup_token)
# unfortunately the auth interface does not (yet) allow to manipulate
# signup tokens concisely
user, ts = self.user_model.get_by_auth_token(int(user_id), signup_token,
'signup')
if not user:
logging.info('Could not find any user with id "%s" signup token "%s"',
user_id, signup_token)
self.abort(404)
# store user data in the session
self.auth.set_session(self.auth.store.user_to_dict(user), remember=True)
if verification_type == 'v':
# remove signup token, we don't want users to come back with an old link
self.user_model.delete_signup_token(user.get_id(), signup_token)
if not user.verified:
user.verified = True
user.put()
self.display_message('User email address has been verified.')
return
elif verification_type == 'p':
# supply user to the page
params = {
'user': user,
'token': signup_token
}
self.render_template('resetpassword.html', params)
else:
logging.info('verification type not supported')
self.abort(404)
class SetPasswordHandler(BaseHandler):
@user_required
def post(self):
password = self.request.get('password')
old_token = self.request.get('t')
if not password or password != self.request.get('confirm_password'):
self.display_message('passwords do not match')
return
user = self.user
user.set_password(password)
user.put()
# remove signup token, we don't want users to come back with an old link
self.user_model.delete_signup_token(user.get_id(), old_token)
self.display_message('Password updated')
class LoginHandler(BaseHandler):
def get(self):
self._serve_page()
def post(self):
username = self.request.get('username')
password = self.request.get('password')
try:
u = self.auth.get_user_by_password(username, password, remember=True,
save_session=True)
user = self.user
tip.coalesce_balance(user)
self.redirect(self.uri_for('home'))
except (InvalidAuthIdError, InvalidPasswordError) as e:
logging.info('Login failed for user %s because of %s', username, type(e))
self._serve_page(True)
def _serve_page(self, failed=False):
username = self.request.get('username')
params = {
'username': username,
'failed': failed
}
self.render_template('login.html', params)
class LogoutHandler(BaseHandler):
def get(self):
self.auth.unset_session()
self.redirect(self.uri_for('home'))
config = {
'webapp2_extras.auth': {
'user_model': 'models.User',
'user_attributes': ['name']
},
'webapp2_extras.sessions': {
'secret_key': 'YOUR_SECRET_KEY'
}
}
app = webapp2.WSGIApplication([
webapp2.Route('/', MainHandler, name='home'),
webapp2.Route('/home', MainHandler, name='home'),
webapp2.Route('/about', AboutHandler, name='about'),
webapp2.Route('/trending', TrendingHandler, name='trending'),
webapp2.Route('/tip', TipHandler, name='tip'),
webapp2.Route('/add_credits', AddCreditsHandler, name='add_credits'),
webapp2.Route('/get_logs', LogHandler, name='get_logs'),
webapp2.Route('/profile', ProfileHandler, name='profile'),
webapp2.Route('/signup', SignupHandler),
webapp2.Route('/<type:v|p>/<user_id:\d+>-<signup_token:.+>',
handler=VerificationHandler, name='verification'),
webapp2.Route('/password', SetPasswordHandler),
webapp2.Route('/forgot', ForgotPasswordHandler, name='forgot'),
webapp2.Route('/login', LoginHandler, name='login'),
webapp2.Route('/logout', LogoutHandler, name='logout'),
], debug=True, config=config)
logging.getLogger().setLevel(logging.DEBUG)
|
flexible
|
{
"blob_id": "fe7fb9a4a5ca2bb8dab0acf440eb2fac127264ce",
"index": 2631,
"step-1": "<mask token>\n\n\nclass BaseHandler(webapp2.RequestHandler):\n\n @webapp2.cached_property\n def auth(self):\n \"\"\"Shortcut to access the auth instance as a property.\"\"\"\n return auth.get_auth()\n <mask token>\n <mask token>\n <mask token>\n\n @webapp2.cached_property\n def session(self):\n \"\"\"Shortcut to access the current session.\"\"\"\n return self.session_store.get_session(backend='datastore')\n\n def render_template(self, view_filename, params=None):\n if not params:\n params = {}\n user = self.user_info\n params['user'] = user\n path = os.path.join(os.path.dirname(__file__), 'views', view_filename)\n self.response.out.write(template.render(path, params))\n <mask token>\n <mask token>\n\n def dispatch(self):\n self.session_store = sessions.get_store(request=self.request)\n try:\n webapp2.RequestHandler.dispatch(self)\n finally:\n self.session_store.save_sessions(self.response)\n\n\nclass MainHandler(BaseHandler):\n\n def get(self):\n user = self.user\n if not user:\n self.render_template('about.html')\n else:\n params = {'balance': user.balance}\n self.render_template('home.html', params)\n\n\nclass AboutHandler(BaseHandler):\n\n def get(self):\n self.render_template('about.html')\n\n\nclass TrendingHandler(BaseHandler):\n\n def get(self):\n self.render_template('trending.html')\n\n\nclass TipHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n failed = False\n user = self.user\n tipReceiver = self.request.get('tipReceiver')\n tipReceiver = self.user_model.get_by_auth_id(tipReceiver)\n amount = self.request.get('tip')\n amount = float(amount)\n try:\n tip.tip(user, tipReceiver, amount)\n except:\n failed = True\n self._serve_page(failed)\n\n def _serve_page(self, failed=False):\n params = {'failed': failed}\n self.render_template('tip.html', params)\n\n\n<mask token>\n\n\nclass AddCreditsHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n user = self.user\n credits = self.request.get('credits')\n credits = float(credits)\n user.balance += credits\n user.put()\n serve_profile_page(self)\n\n def _serve_page(self):\n user = self.user\n params = {}\n self.render_template('add_credits.html', params)\n\n\nclass LogHandler(BaseHandler):\n\n @user_required\n def get(self):\n user = self.user\n keys = tip.TipTransactionLogShardConfig.all_keys(user)\n logs = keys[0].get()\n if logs:\n message = {'logs': logs.logs}\n else:\n message = None\n self.send_json(message)\n\n\nclass ProfileHandler(BaseHandler):\n\n @user_required\n def get(self):\n serve_profile_page(self)\n\n\nclass SignupHandler(BaseHandler):\n\n def get(self):\n self.render_template('signup.html')\n\n def post(self):\n user_name = self.request.get('username')\n email = self.request.get('email')\n name = self.request.get('name')\n password = self.request.get('password')\n last_name = self.request.get('lastname')\n unique_properties = ['email_address']\n user_data = self.user_model.create_user(user_name,\n unique_properties, email_address=email, name=name, password_raw\n =password, last_name=last_name, balance=float(0), tip_log_count\n =0, verified=False)\n if not user_data[0]:\n self.display_message(\n 'Unable to create user for email %s because of duplicate keys %s'\n % (user_name, user_data[1]))\n return\n user = user_data[1]\n user_id = user.get_id()\n token = self.user_model.create_signup_token(user_id)\n verification_url = self.uri_for('verification', type='v', user_id=\n user_id, signup_token=token, _full=True)\n msg = (\n 'Send an email to user in order to verify their address. They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n )\n self.display_message(msg.format(url=verification_url))\n\n\nclass ForgotPasswordHandler(BaseHandler):\n\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n user = self.user_model.get_by_auth_id(username)\n if not user:\n logging.info('Could not find any user entry for username %s',\n username)\n self._serve_page(not_found=True)\n return\n user_id = user.get_id()\n token = self.user_model.create_signup_token(user_id)\n verification_url = self.uri_for('verification', type='p', user_id=\n user_id, signup_token=token, _full=True)\n msg = (\n 'Send an email to user in order to reset their password. They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n )\n self.display_message(msg.format(url=verification_url))\n\n def _serve_page(self, not_found=False):\n username = self.request.get('username')\n params = {'username': username, 'not_found': not_found}\n self.render_template('forgot.html', params)\n\n\nclass VerificationHandler(BaseHandler):\n\n def get(self, *args, **kwargs):\n user = None\n user_id = kwargs['user_id']\n signup_token = kwargs['signup_token']\n verification_type = kwargs['type']\n user, ts = self.user_model.get_by_auth_token(int(user_id),\n signup_token, 'signup')\n if not user:\n logging.info(\n 'Could not find any user with id \"%s\" signup token \"%s\"',\n user_id, signup_token)\n self.abort(404)\n self.auth.set_session(self.auth.store.user_to_dict(user), remember=True\n )\n if verification_type == 'v':\n self.user_model.delete_signup_token(user.get_id(), signup_token)\n if not user.verified:\n user.verified = True\n user.put()\n self.display_message('User email address has been verified.')\n return\n elif verification_type == 'p':\n params = {'user': user, 'token': signup_token}\n self.render_template('resetpassword.html', params)\n else:\n logging.info('verification type not supported')\n self.abort(404)\n\n\nclass SetPasswordHandler(BaseHandler):\n\n @user_required\n def post(self):\n password = self.request.get('password')\n old_token = self.request.get('t')\n if not password or password != self.request.get('confirm_password'):\n self.display_message('passwords do not match')\n return\n user = self.user\n user.set_password(password)\n user.put()\n self.user_model.delete_signup_token(user.get_id(), old_token)\n self.display_message('Password updated')\n\n\nclass LoginHandler(BaseHandler):\n\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n password = self.request.get('password')\n try:\n u = self.auth.get_user_by_password(username, password, remember\n =True, save_session=True)\n user = self.user\n tip.coalesce_balance(user)\n self.redirect(self.uri_for('home'))\n except (InvalidAuthIdError, InvalidPasswordError) as e:\n logging.info('Login failed for user %s because of %s', username,\n type(e))\n self._serve_page(True)\n\n def _serve_page(self, failed=False):\n username = self.request.get('username')\n params = {'username': username, 'failed': failed}\n self.render_template('login.html', params)\n\n\nclass LogoutHandler(BaseHandler):\n\n def get(self):\n self.auth.unset_session()\n self.redirect(self.uri_for('home'))\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass BaseHandler(webapp2.RequestHandler):\n\n @webapp2.cached_property\n def auth(self):\n \"\"\"Shortcut to access the auth instance as a property.\"\"\"\n return auth.get_auth()\n <mask token>\n\n @webapp2.cached_property\n def user(self):\n \"\"\"Shortcut to access the current logged in user.\n\n Unlike user_info, it fetches information from the persistence layer and\n returns an instance of the underlying model.\n\n :returns\n The instance of the user model associated to the logged in user.\n \"\"\"\n u = self.user_info\n return self.user_model.get_by_id(u['user_id']) if u else None\n <mask token>\n\n @webapp2.cached_property\n def session(self):\n \"\"\"Shortcut to access the current session.\"\"\"\n return self.session_store.get_session(backend='datastore')\n\n def render_template(self, view_filename, params=None):\n if not params:\n params = {}\n user = self.user_info\n params['user'] = user\n path = os.path.join(os.path.dirname(__file__), 'views', view_filename)\n self.response.out.write(template.render(path, params))\n <mask token>\n\n def display_message(self, message):\n \"\"\"Utility function to display a template with a simple message.\"\"\"\n params = {'message': message}\n self.render_template('message.html', params)\n\n def dispatch(self):\n self.session_store = sessions.get_store(request=self.request)\n try:\n webapp2.RequestHandler.dispatch(self)\n finally:\n self.session_store.save_sessions(self.response)\n\n\nclass MainHandler(BaseHandler):\n\n def get(self):\n user = self.user\n if not user:\n self.render_template('about.html')\n else:\n params = {'balance': user.balance}\n self.render_template('home.html', params)\n\n\nclass AboutHandler(BaseHandler):\n\n def get(self):\n self.render_template('about.html')\n\n\nclass TrendingHandler(BaseHandler):\n\n def get(self):\n self.render_template('trending.html')\n\n\nclass TipHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n failed = False\n user = self.user\n tipReceiver = self.request.get('tipReceiver')\n tipReceiver = self.user_model.get_by_auth_id(tipReceiver)\n amount = self.request.get('tip')\n amount = float(amount)\n try:\n tip.tip(user, tipReceiver, amount)\n except:\n failed = True\n self._serve_page(failed)\n\n def _serve_page(self, failed=False):\n params = {'failed': failed}\n self.render_template('tip.html', params)\n\n\n<mask token>\n\n\nclass AddCreditsHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n user = self.user\n credits = self.request.get('credits')\n credits = float(credits)\n user.balance += credits\n user.put()\n serve_profile_page(self)\n\n def _serve_page(self):\n user = self.user\n params = {}\n self.render_template('add_credits.html', params)\n\n\nclass LogHandler(BaseHandler):\n\n @user_required\n def get(self):\n user = self.user\n keys = tip.TipTransactionLogShardConfig.all_keys(user)\n logs = keys[0].get()\n if logs:\n message = {'logs': logs.logs}\n else:\n message = None\n self.send_json(message)\n\n\nclass ProfileHandler(BaseHandler):\n\n @user_required\n def get(self):\n serve_profile_page(self)\n\n\nclass SignupHandler(BaseHandler):\n\n def get(self):\n self.render_template('signup.html')\n\n def post(self):\n user_name = self.request.get('username')\n email = self.request.get('email')\n name = self.request.get('name')\n password = self.request.get('password')\n last_name = self.request.get('lastname')\n unique_properties = ['email_address']\n user_data = self.user_model.create_user(user_name,\n unique_properties, email_address=email, name=name, password_raw\n =password, last_name=last_name, balance=float(0), tip_log_count\n =0, verified=False)\n if not user_data[0]:\n self.display_message(\n 'Unable to create user for email %s because of duplicate keys %s'\n % (user_name, user_data[1]))\n return\n user = user_data[1]\n user_id = user.get_id()\n token = self.user_model.create_signup_token(user_id)\n verification_url = self.uri_for('verification', type='v', user_id=\n user_id, signup_token=token, _full=True)\n msg = (\n 'Send an email to user in order to verify their address. They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n )\n self.display_message(msg.format(url=verification_url))\n\n\nclass ForgotPasswordHandler(BaseHandler):\n\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n user = self.user_model.get_by_auth_id(username)\n if not user:\n logging.info('Could not find any user entry for username %s',\n username)\n self._serve_page(not_found=True)\n return\n user_id = user.get_id()\n token = self.user_model.create_signup_token(user_id)\n verification_url = self.uri_for('verification', type='p', user_id=\n user_id, signup_token=token, _full=True)\n msg = (\n 'Send an email to user in order to reset their password. They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n )\n self.display_message(msg.format(url=verification_url))\n\n def _serve_page(self, not_found=False):\n username = self.request.get('username')\n params = {'username': username, 'not_found': not_found}\n self.render_template('forgot.html', params)\n\n\nclass VerificationHandler(BaseHandler):\n\n def get(self, *args, **kwargs):\n user = None\n user_id = kwargs['user_id']\n signup_token = kwargs['signup_token']\n verification_type = kwargs['type']\n user, ts = self.user_model.get_by_auth_token(int(user_id),\n signup_token, 'signup')\n if not user:\n logging.info(\n 'Could not find any user with id \"%s\" signup token \"%s\"',\n user_id, signup_token)\n self.abort(404)\n self.auth.set_session(self.auth.store.user_to_dict(user), remember=True\n )\n if verification_type == 'v':\n self.user_model.delete_signup_token(user.get_id(), signup_token)\n if not user.verified:\n user.verified = True\n user.put()\n self.display_message('User email address has been verified.')\n return\n elif verification_type == 'p':\n params = {'user': user, 'token': signup_token}\n self.render_template('resetpassword.html', params)\n else:\n logging.info('verification type not supported')\n self.abort(404)\n\n\nclass SetPasswordHandler(BaseHandler):\n\n @user_required\n def post(self):\n password = self.request.get('password')\n old_token = self.request.get('t')\n if not password or password != self.request.get('confirm_password'):\n self.display_message('passwords do not match')\n return\n user = self.user\n user.set_password(password)\n user.put()\n self.user_model.delete_signup_token(user.get_id(), old_token)\n self.display_message('Password updated')\n\n\nclass LoginHandler(BaseHandler):\n\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n password = self.request.get('password')\n try:\n u = self.auth.get_user_by_password(username, password, remember\n =True, save_session=True)\n user = self.user\n tip.coalesce_balance(user)\n self.redirect(self.uri_for('home'))\n except (InvalidAuthIdError, InvalidPasswordError) as e:\n logging.info('Login failed for user %s because of %s', username,\n type(e))\n self._serve_page(True)\n\n def _serve_page(self, failed=False):\n username = self.request.get('username')\n params = {'username': username, 'failed': failed}\n self.render_template('login.html', params)\n\n\nclass LogoutHandler(BaseHandler):\n\n def get(self):\n self.auth.unset_session()\n self.redirect(self.uri_for('home'))\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef user_required(handler):\n \"\"\"\n Decorator that checks if there's a user associated with the current session.\n Will also fail if there's no session present.\n \"\"\"\n\n def check_login(self, *args, **kwargs):\n auth = self.auth\n if not auth.get_user_by_session():\n self.redirect(self.uri_for('login'), abort=True)\n else:\n return handler(self, *args, **kwargs)\n return check_login\n\n\nclass BaseHandler(webapp2.RequestHandler):\n\n @webapp2.cached_property\n def auth(self):\n \"\"\"Shortcut to access the auth instance as a property.\"\"\"\n return auth.get_auth()\n\n @webapp2.cached_property\n def user_info(self):\n \"\"\"Shortcut to access a subset of the user attributes that are stored\n in the session.\n\n The list of attributes to store in the session is specified in\n config['webapp2_extras.auth']['user_attributes'].\n :returns\n A dictionary with most user information\n \"\"\"\n return self.auth.get_user_by_session()\n\n @webapp2.cached_property\n def user(self):\n \"\"\"Shortcut to access the current logged in user.\n\n Unlike user_info, it fetches information from the persistence layer and\n returns an instance of the underlying model.\n\n :returns\n The instance of the user model associated to the logged in user.\n \"\"\"\n u = self.user_info\n return self.user_model.get_by_id(u['user_id']) if u else None\n\n @webapp2.cached_property\n def user_model(self):\n \"\"\"Returns the implementation of the user model.\n\n It is consistent with config['webapp2_extras.auth']['user_model'], if set.\n \"\"\"\n return self.auth.store.user_model\n\n @webapp2.cached_property\n def session(self):\n \"\"\"Shortcut to access the current session.\"\"\"\n return self.session_store.get_session(backend='datastore')\n\n def render_template(self, view_filename, params=None):\n if not params:\n params = {}\n user = self.user_info\n params['user'] = user\n path = os.path.join(os.path.dirname(__file__), 'views', view_filename)\n self.response.out.write(template.render(path, params))\n\n def send_json(self, message):\n self.response.headers['Content-Type'] = 'application/json'\n self.response.out.write(json.dumps(message))\n\n def display_message(self, message):\n \"\"\"Utility function to display a template with a simple message.\"\"\"\n params = {'message': message}\n self.render_template('message.html', params)\n\n def dispatch(self):\n self.session_store = sessions.get_store(request=self.request)\n try:\n webapp2.RequestHandler.dispatch(self)\n finally:\n self.session_store.save_sessions(self.response)\n\n\nclass MainHandler(BaseHandler):\n\n def get(self):\n user = self.user\n if not user:\n self.render_template('about.html')\n else:\n params = {'balance': user.balance}\n self.render_template('home.html', params)\n\n\nclass AboutHandler(BaseHandler):\n\n def get(self):\n self.render_template('about.html')\n\n\nclass TrendingHandler(BaseHandler):\n\n def get(self):\n self.render_template('trending.html')\n\n\nclass TipHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n failed = False\n user = self.user\n tipReceiver = self.request.get('tipReceiver')\n tipReceiver = self.user_model.get_by_auth_id(tipReceiver)\n amount = self.request.get('tip')\n amount = float(amount)\n try:\n tip.tip(user, tipReceiver, amount)\n except:\n failed = True\n self._serve_page(failed)\n\n def _serve_page(self, failed=False):\n params = {'failed': failed}\n self.render_template('tip.html', params)\n\n\ndef serve_profile_page(self):\n user = self.user\n params = {'auth_id': user.auth_ids[0], 'first_name': user.name,\n 'last_name': user.last_name, 'email_address': user.email_address,\n 'balance': user.balance}\n self.render_template('profile.html', params)\n\n\nclass AddCreditsHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n user = self.user\n credits = self.request.get('credits')\n credits = float(credits)\n user.balance += credits\n user.put()\n serve_profile_page(self)\n\n def _serve_page(self):\n user = self.user\n params = {}\n self.render_template('add_credits.html', params)\n\n\nclass LogHandler(BaseHandler):\n\n @user_required\n def get(self):\n user = self.user\n keys = tip.TipTransactionLogShardConfig.all_keys(user)\n logs = keys[0].get()\n if logs:\n message = {'logs': logs.logs}\n else:\n message = None\n self.send_json(message)\n\n\nclass ProfileHandler(BaseHandler):\n\n @user_required\n def get(self):\n serve_profile_page(self)\n\n\nclass SignupHandler(BaseHandler):\n\n def get(self):\n self.render_template('signup.html')\n\n def post(self):\n user_name = self.request.get('username')\n email = self.request.get('email')\n name = self.request.get('name')\n password = self.request.get('password')\n last_name = self.request.get('lastname')\n unique_properties = ['email_address']\n user_data = self.user_model.create_user(user_name,\n unique_properties, email_address=email, name=name, password_raw\n =password, last_name=last_name, balance=float(0), tip_log_count\n =0, verified=False)\n if not user_data[0]:\n self.display_message(\n 'Unable to create user for email %s because of duplicate keys %s'\n % (user_name, user_data[1]))\n return\n user = user_data[1]\n user_id = user.get_id()\n token = self.user_model.create_signup_token(user_id)\n verification_url = self.uri_for('verification', type='v', user_id=\n user_id, signup_token=token, _full=True)\n msg = (\n 'Send an email to user in order to verify their address. They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n )\n self.display_message(msg.format(url=verification_url))\n\n\nclass ForgotPasswordHandler(BaseHandler):\n\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n user = self.user_model.get_by_auth_id(username)\n if not user:\n logging.info('Could not find any user entry for username %s',\n username)\n self._serve_page(not_found=True)\n return\n user_id = user.get_id()\n token = self.user_model.create_signup_token(user_id)\n verification_url = self.uri_for('verification', type='p', user_id=\n user_id, signup_token=token, _full=True)\n msg = (\n 'Send an email to user in order to reset their password. They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n )\n self.display_message(msg.format(url=verification_url))\n\n def _serve_page(self, not_found=False):\n username = self.request.get('username')\n params = {'username': username, 'not_found': not_found}\n self.render_template('forgot.html', params)\n\n\nclass VerificationHandler(BaseHandler):\n\n def get(self, *args, **kwargs):\n user = None\n user_id = kwargs['user_id']\n signup_token = kwargs['signup_token']\n verification_type = kwargs['type']\n user, ts = self.user_model.get_by_auth_token(int(user_id),\n signup_token, 'signup')\n if not user:\n logging.info(\n 'Could not find any user with id \"%s\" signup token \"%s\"',\n user_id, signup_token)\n self.abort(404)\n self.auth.set_session(self.auth.store.user_to_dict(user), remember=True\n )\n if verification_type == 'v':\n self.user_model.delete_signup_token(user.get_id(), signup_token)\n if not user.verified:\n user.verified = True\n user.put()\n self.display_message('User email address has been verified.')\n return\n elif verification_type == 'p':\n params = {'user': user, 'token': signup_token}\n self.render_template('resetpassword.html', params)\n else:\n logging.info('verification type not supported')\n self.abort(404)\n\n\nclass SetPasswordHandler(BaseHandler):\n\n @user_required\n def post(self):\n password = self.request.get('password')\n old_token = self.request.get('t')\n if not password or password != self.request.get('confirm_password'):\n self.display_message('passwords do not match')\n return\n user = self.user\n user.set_password(password)\n user.put()\n self.user_model.delete_signup_token(user.get_id(), old_token)\n self.display_message('Password updated')\n\n\nclass LoginHandler(BaseHandler):\n\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n password = self.request.get('password')\n try:\n u = self.auth.get_user_by_password(username, password, remember\n =True, save_session=True)\n user = self.user\n tip.coalesce_balance(user)\n self.redirect(self.uri_for('home'))\n except (InvalidAuthIdError, InvalidPasswordError) as e:\n logging.info('Login failed for user %s because of %s', username,\n type(e))\n self._serve_page(True)\n\n def _serve_page(self, failed=False):\n username = self.request.get('username')\n params = {'username': username, 'failed': failed}\n self.render_template('login.html', params)\n\n\nclass LogoutHandler(BaseHandler):\n\n def get(self):\n self.auth.unset_session()\n self.redirect(self.uri_for('home'))\n\n\n<mask token>\nlogging.getLogger().setLevel(logging.DEBUG)\n",
"step-4": "<mask token>\n\n\ndef user_required(handler):\n \"\"\"\n Decorator that checks if there's a user associated with the current session.\n Will also fail if there's no session present.\n \"\"\"\n\n def check_login(self, *args, **kwargs):\n auth = self.auth\n if not auth.get_user_by_session():\n self.redirect(self.uri_for('login'), abort=True)\n else:\n return handler(self, *args, **kwargs)\n return check_login\n\n\nclass BaseHandler(webapp2.RequestHandler):\n\n @webapp2.cached_property\n def auth(self):\n \"\"\"Shortcut to access the auth instance as a property.\"\"\"\n return auth.get_auth()\n\n @webapp2.cached_property\n def user_info(self):\n \"\"\"Shortcut to access a subset of the user attributes that are stored\n in the session.\n\n The list of attributes to store in the session is specified in\n config['webapp2_extras.auth']['user_attributes'].\n :returns\n A dictionary with most user information\n \"\"\"\n return self.auth.get_user_by_session()\n\n @webapp2.cached_property\n def user(self):\n \"\"\"Shortcut to access the current logged in user.\n\n Unlike user_info, it fetches information from the persistence layer and\n returns an instance of the underlying model.\n\n :returns\n The instance of the user model associated to the logged in user.\n \"\"\"\n u = self.user_info\n return self.user_model.get_by_id(u['user_id']) if u else None\n\n @webapp2.cached_property\n def user_model(self):\n \"\"\"Returns the implementation of the user model.\n\n It is consistent with config['webapp2_extras.auth']['user_model'], if set.\n \"\"\"\n return self.auth.store.user_model\n\n @webapp2.cached_property\n def session(self):\n \"\"\"Shortcut to access the current session.\"\"\"\n return self.session_store.get_session(backend='datastore')\n\n def render_template(self, view_filename, params=None):\n if not params:\n params = {}\n user = self.user_info\n params['user'] = user\n path = os.path.join(os.path.dirname(__file__), 'views', view_filename)\n self.response.out.write(template.render(path, params))\n\n def send_json(self, message):\n self.response.headers['Content-Type'] = 'application/json'\n self.response.out.write(json.dumps(message))\n\n def display_message(self, message):\n \"\"\"Utility function to display a template with a simple message.\"\"\"\n params = {'message': message}\n self.render_template('message.html', params)\n\n def dispatch(self):\n self.session_store = sessions.get_store(request=self.request)\n try:\n webapp2.RequestHandler.dispatch(self)\n finally:\n self.session_store.save_sessions(self.response)\n\n\nclass MainHandler(BaseHandler):\n\n def get(self):\n user = self.user\n if not user:\n self.render_template('about.html')\n else:\n params = {'balance': user.balance}\n self.render_template('home.html', params)\n\n\nclass AboutHandler(BaseHandler):\n\n def get(self):\n self.render_template('about.html')\n\n\nclass TrendingHandler(BaseHandler):\n\n def get(self):\n self.render_template('trending.html')\n\n\nclass TipHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n failed = False\n user = self.user\n tipReceiver = self.request.get('tipReceiver')\n tipReceiver = self.user_model.get_by_auth_id(tipReceiver)\n amount = self.request.get('tip')\n amount = float(amount)\n try:\n tip.tip(user, tipReceiver, amount)\n except:\n failed = True\n self._serve_page(failed)\n\n def _serve_page(self, failed=False):\n params = {'failed': failed}\n self.render_template('tip.html', params)\n\n\ndef serve_profile_page(self):\n user = self.user\n params = {'auth_id': user.auth_ids[0], 'first_name': user.name,\n 'last_name': user.last_name, 'email_address': user.email_address,\n 'balance': user.balance}\n self.render_template('profile.html', params)\n\n\nclass AddCreditsHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n user = self.user\n credits = self.request.get('credits')\n credits = float(credits)\n user.balance += credits\n user.put()\n serve_profile_page(self)\n\n def _serve_page(self):\n user = self.user\n params = {}\n self.render_template('add_credits.html', params)\n\n\nclass LogHandler(BaseHandler):\n\n @user_required\n def get(self):\n user = self.user\n keys = tip.TipTransactionLogShardConfig.all_keys(user)\n logs = keys[0].get()\n if logs:\n message = {'logs': logs.logs}\n else:\n message = None\n self.send_json(message)\n\n\nclass ProfileHandler(BaseHandler):\n\n @user_required\n def get(self):\n serve_profile_page(self)\n\n\nclass SignupHandler(BaseHandler):\n\n def get(self):\n self.render_template('signup.html')\n\n def post(self):\n user_name = self.request.get('username')\n email = self.request.get('email')\n name = self.request.get('name')\n password = self.request.get('password')\n last_name = self.request.get('lastname')\n unique_properties = ['email_address']\n user_data = self.user_model.create_user(user_name,\n unique_properties, email_address=email, name=name, password_raw\n =password, last_name=last_name, balance=float(0), tip_log_count\n =0, verified=False)\n if not user_data[0]:\n self.display_message(\n 'Unable to create user for email %s because of duplicate keys %s'\n % (user_name, user_data[1]))\n return\n user = user_data[1]\n user_id = user.get_id()\n token = self.user_model.create_signup_token(user_id)\n verification_url = self.uri_for('verification', type='v', user_id=\n user_id, signup_token=token, _full=True)\n msg = (\n 'Send an email to user in order to verify their address. They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n )\n self.display_message(msg.format(url=verification_url))\n\n\nclass ForgotPasswordHandler(BaseHandler):\n\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n user = self.user_model.get_by_auth_id(username)\n if not user:\n logging.info('Could not find any user entry for username %s',\n username)\n self._serve_page(not_found=True)\n return\n user_id = user.get_id()\n token = self.user_model.create_signup_token(user_id)\n verification_url = self.uri_for('verification', type='p', user_id=\n user_id, signup_token=token, _full=True)\n msg = (\n 'Send an email to user in order to reset their password. They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n )\n self.display_message(msg.format(url=verification_url))\n\n def _serve_page(self, not_found=False):\n username = self.request.get('username')\n params = {'username': username, 'not_found': not_found}\n self.render_template('forgot.html', params)\n\n\nclass VerificationHandler(BaseHandler):\n\n def get(self, *args, **kwargs):\n user = None\n user_id = kwargs['user_id']\n signup_token = kwargs['signup_token']\n verification_type = kwargs['type']\n user, ts = self.user_model.get_by_auth_token(int(user_id),\n signup_token, 'signup')\n if not user:\n logging.info(\n 'Could not find any user with id \"%s\" signup token \"%s\"',\n user_id, signup_token)\n self.abort(404)\n self.auth.set_session(self.auth.store.user_to_dict(user), remember=True\n )\n if verification_type == 'v':\n self.user_model.delete_signup_token(user.get_id(), signup_token)\n if not user.verified:\n user.verified = True\n user.put()\n self.display_message('User email address has been verified.')\n return\n elif verification_type == 'p':\n params = {'user': user, 'token': signup_token}\n self.render_template('resetpassword.html', params)\n else:\n logging.info('verification type not supported')\n self.abort(404)\n\n\nclass SetPasswordHandler(BaseHandler):\n\n @user_required\n def post(self):\n password = self.request.get('password')\n old_token = self.request.get('t')\n if not password or password != self.request.get('confirm_password'):\n self.display_message('passwords do not match')\n return\n user = self.user\n user.set_password(password)\n user.put()\n self.user_model.delete_signup_token(user.get_id(), old_token)\n self.display_message('Password updated')\n\n\nclass LoginHandler(BaseHandler):\n\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n password = self.request.get('password')\n try:\n u = self.auth.get_user_by_password(username, password, remember\n =True, save_session=True)\n user = self.user\n tip.coalesce_balance(user)\n self.redirect(self.uri_for('home'))\n except (InvalidAuthIdError, InvalidPasswordError) as e:\n logging.info('Login failed for user %s because of %s', username,\n type(e))\n self._serve_page(True)\n\n def _serve_page(self, failed=False):\n username = self.request.get('username')\n params = {'username': username, 'failed': failed}\n self.render_template('login.html', params)\n\n\nclass LogoutHandler(BaseHandler):\n\n def get(self):\n self.auth.unset_session()\n self.redirect(self.uri_for('home'))\n\n\nconfig = {'webapp2_extras.auth': {'user_model': 'models.User',\n 'user_attributes': ['name']}, 'webapp2_extras.sessions': {'secret_key':\n 'YOUR_SECRET_KEY'}}\napp = webapp2.WSGIApplication([webapp2.Route('/', MainHandler, name='home'),\n webapp2.Route('/home', MainHandler, name='home'), webapp2.Route(\n '/about', AboutHandler, name='about'), webapp2.Route('/trending',\n TrendingHandler, name='trending'), webapp2.Route('/tip', TipHandler,\n name='tip'), webapp2.Route('/add_credits', AddCreditsHandler, name=\n 'add_credits'), webapp2.Route('/get_logs', LogHandler, name='get_logs'),\n webapp2.Route('/profile', ProfileHandler, name='profile'), webapp2.\n Route('/signup', SignupHandler), webapp2.Route(\n '/<type:v|p>/<user_id:\\\\d+>-<signup_token:.+>', handler=\n VerificationHandler, name='verification'), webapp2.Route('/password',\n SetPasswordHandler), webapp2.Route('/forgot', ForgotPasswordHandler,\n name='forgot'), webapp2.Route('/login', LoginHandler, name='login'),\n webapp2.Route('/logout', LogoutHandler, name='logout')], debug=True,\n config=config)\nlogging.getLogger().setLevel(logging.DEBUG)\n",
"step-5": "#!/usr/bin/env python\n\nfrom google.appengine.ext.webapp import template\nfrom google.appengine.ext import ndb\n\nimport logging\nimport os.path\nimport webapp2\nimport json\n\nfrom webapp2_extras import auth\nfrom webapp2_extras import sessions\n\nfrom webapp2_extras.auth import InvalidAuthIdError\nfrom webapp2_extras.auth import InvalidPasswordError\n\nimport tip\n\ndef user_required(handler):\n \"\"\"\n Decorator that checks if there's a user associated with the current session.\n Will also fail if there's no session present.\n \"\"\"\n def check_login(self, *args, **kwargs):\n auth = self.auth\n if not auth.get_user_by_session():\n self.redirect(self.uri_for('login'), abort=True)\n else:\n return handler(self, *args, **kwargs)\n\n return check_login\n\nclass BaseHandler(webapp2.RequestHandler):\n @webapp2.cached_property\n def auth(self):\n \"\"\"Shortcut to access the auth instance as a property.\"\"\"\n return auth.get_auth()\n\n @webapp2.cached_property\n def user_info(self):\n \"\"\"Shortcut to access a subset of the user attributes that are stored\n in the session.\n\n The list of attributes to store in the session is specified in\n config['webapp2_extras.auth']['user_attributes'].\n :returns\n A dictionary with most user information\n \"\"\"\n return self.auth.get_user_by_session()\n\n @webapp2.cached_property\n def user(self):\n \"\"\"Shortcut to access the current logged in user.\n\n Unlike user_info, it fetches information from the persistence layer and\n returns an instance of the underlying model.\n\n :returns\n The instance of the user model associated to the logged in user.\n \"\"\"\n u = self.user_info\n return self.user_model.get_by_id(u['user_id']) if u else None\n\n @webapp2.cached_property\n def user_model(self):\n \"\"\"Returns the implementation of the user model.\n\n It is consistent with config['webapp2_extras.auth']['user_model'], if set.\n \"\"\" \n return self.auth.store.user_model\n\n @webapp2.cached_property\n def session(self):\n \"\"\"Shortcut to access the current session.\"\"\"\n return self.session_store.get_session(backend=\"datastore\")\n\n def render_template(self, view_filename, params=None):\n if not params:\n params = {}\n user = self.user_info\n params['user'] = user\n path = os.path.join(os.path.dirname(__file__), 'views', view_filename)\n self.response.out.write(template.render(path, params))\n\n def send_json(self, message):\n self.response.headers['Content-Type'] = 'application/json'\n self.response.out.write(json.dumps(message))\n\n def display_message(self, message):\n \"\"\"Utility function to display a template with a simple message.\"\"\"\n params = {\n 'message': message\n }\n self.render_template('message.html', params)\n\n # this is needed for webapp2 sessions to work\n def dispatch(self):\n # Get a session store for this request.\n self.session_store = sessions.get_store(request=self.request)\n\n try:\n # Dispatch the request.\n webapp2.RequestHandler.dispatch(self)\n finally:\n # Save all sessions.\n self.session_store.save_sessions(self.response)\n\nclass MainHandler(BaseHandler):\n def get(self):\n user = self.user\n if not user:\n self.render_template('about.html')\n else:\n params = {\n 'balance': user.balance,\n }\n self.render_template('home.html', params)\n\nclass AboutHandler(BaseHandler):\n def get(self):\n self.render_template('about.html')\n\nclass TrendingHandler(BaseHandler):\n def get(self):\n self.render_template('trending.html')\n\nclass TipHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n failed=False\n user = self.user\n tipReceiver = self.request.get('tipReceiver')\n tipReceiver = self.user_model.get_by_auth_id(tipReceiver)\n amount = self.request.get('tip')\n amount = float(amount)\n\n try:\n tip.tip(user, tipReceiver, amount)\n except:\n failed=True\n\n self._serve_page(failed)\n\n def _serve_page(self, failed=False):\n params = {\n 'failed': failed\n }\n self.render_template('tip.html', params)\n\ndef serve_profile_page(self):\n user = self.user\n params = {\n 'auth_id': user.auth_ids[0],\n 'first_name': user.name,\n 'last_name': user.last_name,\n 'email_address': user.email_address,\n 'balance': user.balance,\n }\n\n self.render_template('profile.html', params)\n\nclass AddCreditsHandler(BaseHandler):\n\n @user_required\n def get(self):\n self._serve_page()\n\n @user_required\n def post(self):\n user = self.user\n credits = self.request.get('credits')\n credits = float(credits)\n user.balance += credits \n user.put()\n\n #User a redirect here instead\n serve_profile_page(self)\n\n def _serve_page(self):\n user = self.user\n params = {\n }\n self.render_template('add_credits.html', params)\n\nclass LogHandler(BaseHandler):\n @user_required\n def get(self):\n user = self.user\n keys = tip.TipTransactionLogShardConfig.all_keys(user)\n logs = keys[0].get()\n if logs:\n message = { 'logs': logs.logs }\n else:\n message = None\n self.send_json(message)\n\nclass ProfileHandler(BaseHandler):\n @user_required\n def get(self):\n serve_profile_page(self)\n\nclass SignupHandler(BaseHandler):\n def get(self):\n self.render_template('signup.html')\n\n def post(self):\n user_name = self.request.get('username')\n email = self.request.get('email')\n name = self.request.get('name')\n password = self.request.get('password')\n last_name = self.request.get('lastname')\n\n unique_properties = ['email_address']\n user_data = self.user_model.create_user(user_name,\n unique_properties,\n email_address=email, name=name, password_raw=password,\n last_name=last_name, balance=float(0), tip_log_count=0, verified=False)\n if not user_data[0]: #user_data is a tuple\n self.display_message('Unable to create user for email %s because of \\\n duplicate keys %s' % (user_name, user_data[1]))\n return\n \n user = user_data[1]\n user_id = user.get_id()\n\n token = self.user_model.create_signup_token(user_id)\n\n verification_url = self.uri_for('verification', type='v', user_id=user_id,\n signup_token=token, _full=True)\n\n msg = 'Send an email to user in order to verify their address. \\\n They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n\n self.display_message(msg.format(url=verification_url))\n\nclass ForgotPasswordHandler(BaseHandler):\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n\n user = self.user_model.get_by_auth_id(username)\n if not user:\n logging.info('Could not find any user entry for username %s', username)\n self._serve_page(not_found=True)\n return\n\n user_id = user.get_id()\n token = self.user_model.create_signup_token(user_id)\n\n verification_url = self.uri_for('verification', type='p', user_id=user_id,\n signup_token=token, _full=True)\n\n msg = 'Send an email to user in order to reset their password. \\\n They will be able to do so by visiting <a href=\"{url}\">{url}</a>'\n\n self.display_message(msg.format(url=verification_url))\n \n def _serve_page(self, not_found=False):\n username = self.request.get('username')\n params = {\n 'username': username,\n 'not_found': not_found\n }\n self.render_template('forgot.html', params)\n\n\nclass VerificationHandler(BaseHandler):\n def get(self, *args, **kwargs):\n user = None\n user_id = kwargs['user_id']\n signup_token = kwargs['signup_token']\n verification_type = kwargs['type']\n\n # it should be something more concise like\n # self.auth.get_user_by_token(user_id, signup_token)\n # unfortunately the auth interface does not (yet) allow to manipulate\n # signup tokens concisely\n user, ts = self.user_model.get_by_auth_token(int(user_id), signup_token,\n 'signup')\n\n if not user:\n logging.info('Could not find any user with id \"%s\" signup token \"%s\"',\n user_id, signup_token)\n self.abort(404)\n \n # store user data in the session\n self.auth.set_session(self.auth.store.user_to_dict(user), remember=True)\n\n if verification_type == 'v':\n # remove signup token, we don't want users to come back with an old link\n self.user_model.delete_signup_token(user.get_id(), signup_token)\n\n if not user.verified:\n user.verified = True\n user.put()\n\n self.display_message('User email address has been verified.')\n return\n elif verification_type == 'p':\n # supply user to the page\n params = {\n 'user': user,\n 'token': signup_token\n }\n self.render_template('resetpassword.html', params)\n else:\n logging.info('verification type not supported')\n self.abort(404)\n\nclass SetPasswordHandler(BaseHandler):\n\n @user_required\n def post(self):\n password = self.request.get('password')\n old_token = self.request.get('t')\n\n if not password or password != self.request.get('confirm_password'):\n self.display_message('passwords do not match')\n return\n\n user = self.user\n user.set_password(password)\n user.put()\n\n # remove signup token, we don't want users to come back with an old link\n self.user_model.delete_signup_token(user.get_id(), old_token)\n \n self.display_message('Password updated')\n\nclass LoginHandler(BaseHandler):\n def get(self):\n self._serve_page()\n\n def post(self):\n username = self.request.get('username')\n password = self.request.get('password')\n try:\n u = self.auth.get_user_by_password(username, password, remember=True,\n save_session=True)\n user = self.user\n tip.coalesce_balance(user)\n self.redirect(self.uri_for('home'))\n except (InvalidAuthIdError, InvalidPasswordError) as e:\n logging.info('Login failed for user %s because of %s', username, type(e))\n self._serve_page(True)\n\n def _serve_page(self, failed=False):\n username = self.request.get('username')\n params = {\n 'username': username,\n 'failed': failed\n }\n self.render_template('login.html', params)\n\nclass LogoutHandler(BaseHandler):\n def get(self):\n self.auth.unset_session()\n self.redirect(self.uri_for('home'))\n\nconfig = {\n 'webapp2_extras.auth': {\n 'user_model': 'models.User',\n 'user_attributes': ['name']\n },\n 'webapp2_extras.sessions': {\n 'secret_key': 'YOUR_SECRET_KEY'\n }\n}\n\napp = webapp2.WSGIApplication([\n webapp2.Route('/', MainHandler, name='home'),\n webapp2.Route('/home', MainHandler, name='home'),\n webapp2.Route('/about', AboutHandler, name='about'),\n webapp2.Route('/trending', TrendingHandler, name='trending'),\n webapp2.Route('/tip', TipHandler, name='tip'),\n webapp2.Route('/add_credits', AddCreditsHandler, name='add_credits'),\n webapp2.Route('/get_logs', LogHandler, name='get_logs'),\n webapp2.Route('/profile', ProfileHandler, name='profile'),\n webapp2.Route('/signup', SignupHandler),\n webapp2.Route('/<type:v|p>/<user_id:\\d+>-<signup_token:.+>',\n handler=VerificationHandler, name='verification'),\n webapp2.Route('/password', SetPasswordHandler),\n webapp2.Route('/forgot', ForgotPasswordHandler, name='forgot'),\n webapp2.Route('/login', LoginHandler, name='login'),\n webapp2.Route('/logout', LogoutHandler, name='logout'),\n], debug=True, config=config)\n\nlogging.getLogger().setLevel(logging.DEBUG)\n",
"step-ids": [
40,
42,
48,
49,
51
]
}
|
[
40,
42,
48,
49,
51
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
for i in my_list:
new_list.append(i ** 2)
<|reserved_special_token_0|>
print(my_dict)
<|reserved_special_token_0|>
print(new_list_round)
<|reserved_special_token_1|>
my_list = [1, 2, 3, 4, 5]
new_list = []
for i in my_list:
new_list.append(i ** 2)
new_list_comp = [(el ** 2) for el in my_list]
lines = [line.strip() for line in open('text.txt')]
new_list_1 = [el for el in my_list if el % 2 == 0]
str_1 = 'abc'
str_2 = 'def'
str_3 = 'gh'
new_list_2 = [(i + j + k) for i in str_1 for j in str_2 for k in str_3]
my_set = {(el ** 2) for el in range(10)}
my_dict = {el: (el ** 2) for el in range(5)}
print(my_dict)
my_list_of_floats = [2.4324324, 5.3243234, 6.23424]
new_list_round = [round(el, 2) for el in my_list_of_floats]
print(new_list_round)
<|reserved_special_token_1|>
# генераторы списков и словарей
# lists
my_list = [1, 2, 3, 4, 5]
new_list = []
for i in my_list:
new_list.append(i**2)
new_list_comp = [el**2 for el in my_list]
lines = [line.strip() for line in open("text.txt")]
new_list_1 = [el for el in my_list if el % 2 == 0]
str_1 = 'abc'
str_2 = 'def'
str_3 = 'gh'
new_list_2 = [i+j+k for i in str_1 for j in str_2 for k in str_3]
# словари и множества
my_set = {el**2 for el in range(10)}
my_dict = {el: el**2 for el in range(5)}
print(my_dict)
my_list_of_floats = [2.4324324, 5.3243234, 6.23424]
new_list_round = [round(el, 2) for el in my_list_of_floats]
print(new_list_round)
|
flexible
|
{
"blob_id": "e54eea2261517a2b15fde23c46b3fe75c0efec64",
"index": 7746,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in my_list:\n new_list.append(i ** 2)\n<mask token>\nprint(my_dict)\n<mask token>\nprint(new_list_round)\n",
"step-3": "my_list = [1, 2, 3, 4, 5]\nnew_list = []\nfor i in my_list:\n new_list.append(i ** 2)\nnew_list_comp = [(el ** 2) for el in my_list]\nlines = [line.strip() for line in open('text.txt')]\nnew_list_1 = [el for el in my_list if el % 2 == 0]\nstr_1 = 'abc'\nstr_2 = 'def'\nstr_3 = 'gh'\nnew_list_2 = [(i + j + k) for i in str_1 for j in str_2 for k in str_3]\nmy_set = {(el ** 2) for el in range(10)}\nmy_dict = {el: (el ** 2) for el in range(5)}\nprint(my_dict)\nmy_list_of_floats = [2.4324324, 5.3243234, 6.23424]\nnew_list_round = [round(el, 2) for el in my_list_of_floats]\nprint(new_list_round)\n",
"step-4": "# генераторы списков и словарей\n\n# lists\nmy_list = [1, 2, 3, 4, 5]\nnew_list = []\nfor i in my_list:\n new_list.append(i**2)\n\nnew_list_comp = [el**2 for el in my_list]\n\nlines = [line.strip() for line in open(\"text.txt\")]\n\nnew_list_1 = [el for el in my_list if el % 2 == 0]\n\nstr_1 = 'abc'\nstr_2 = 'def'\nstr_3 = 'gh'\n\nnew_list_2 = [i+j+k for i in str_1 for j in str_2 for k in str_3]\n\n# словари и множества\nmy_set = {el**2 for el in range(10)}\n\nmy_dict = {el: el**2 for el in range(5)}\nprint(my_dict)\n\nmy_list_of_floats = [2.4324324, 5.3243234, 6.23424]\n\nnew_list_round = [round(el, 2) for el in my_list_of_floats]\nprint(new_list_round)\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
<|reserved_special_token_0|>
class GPTD_fixedGrid:
def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):
self.env = env
self.gamma = gamma
self.sigma0 = sigma0
self.kernel = kernel.kernel
if not V_mu:
V_mu = lambda s: np.zeros((s.shape[1], 1))
self.V_mu = V_mu
self.V_D = self.V_mu(D)
self.D = D
self.A = np.zeros((self.D.shape[1], 1), dtype=np.float64, order='C')
self.A[-1, 0] = 1
K = self.kernel(self.D, self.D)
self.K_inv = np.linalg.inv(K)
self.alpha_ = np.zeros((self.D.shape[1], 1), dtype=np.float64,
order='C')
self.C_ = np.zeros((self.D.shape[1], self.D.shape[1]), dtype=np.
float64, order='C')
self.diff_alpha_CV_D = np.empty((self.D.shape[1], 1), dtype=np.
float64, order='C')
def k_(self, x):
if len(x.shape) == 1:
x = x[:, np.newaxis]
assert len(x.shape) == 2, 'Check state dimensions'
return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class GPTD_fixedGrid:
def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):
self.env = env
self.gamma = gamma
self.sigma0 = sigma0
self.kernel = kernel.kernel
if not V_mu:
V_mu = lambda s: np.zeros((s.shape[1], 1))
self.V_mu = V_mu
self.V_D = self.V_mu(D)
self.D = D
self.A = np.zeros((self.D.shape[1], 1), dtype=np.float64, order='C')
self.A[-1, 0] = 1
K = self.kernel(self.D, self.D)
self.K_inv = np.linalg.inv(K)
self.alpha_ = np.zeros((self.D.shape[1], 1), dtype=np.float64,
order='C')
self.C_ = np.zeros((self.D.shape[1], self.D.shape[1]), dtype=np.
float64, order='C')
self.diff_alpha_CV_D = np.empty((self.D.shape[1], 1), dtype=np.
float64, order='C')
def k_(self, x):
if len(x.shape) == 1:
x = x[:, np.newaxis]
assert len(x.shape) == 2, 'Check state dimensions'
return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))
def update(self, state_sequence, reward_sequence):
"""
Update GP after observing states (state_sequence) and rewards (reward_sequence)
"""
for i in range(reward_sequence.shape[0]):
trajt_1 = state_sequence[:, i][:, np.newaxis]
trajt = state_sequence[:, i + 1][:, np.newaxis]
k_t_1 = self.kernel(self.D, trajt_1)
k_t = self.kernel(self.D, trajt)
ktt = self.kernel(trajt, trajt)
at = np.dot(self.K_inv, k_t)
delk_t_1 = k_t_1 - self.gamma * k_t
ct = np.dot(self.C_, delk_t_1) - (self.A - self.gamma * at)
st = self.sigma0 ** 2 - np.dot(ct.T, delk_t_1)
diff_r = np.dot(delk_t_1.T, self.alpha_)[0, 0] - reward_sequence[i]
self.alpha_ = self.alpha_ + ct / st * diff_r
self.C_ = self.C_ + np.dot(ct, ct.T) / st
self.A = at
assert not np.isnan(self.alpha_).any(
), 'Check alpha for NaN values'
self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)
<|reserved_special_token_0|>
def get_value_function(self, states):
if self.D.shape[1] == 0:
return self.V_mu(states)
else:
return self.V_mu(states) + np.dot(self.kernel(self.D, states).T,
self.diff_alpha_CV_D)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class GPTD_fixedGrid:
def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):
self.env = env
self.gamma = gamma
self.sigma0 = sigma0
self.kernel = kernel.kernel
if not V_mu:
V_mu = lambda s: np.zeros((s.shape[1], 1))
self.V_mu = V_mu
self.V_D = self.V_mu(D)
self.D = D
self.A = np.zeros((self.D.shape[1], 1), dtype=np.float64, order='C')
self.A[-1, 0] = 1
K = self.kernel(self.D, self.D)
self.K_inv = np.linalg.inv(K)
self.alpha_ = np.zeros((self.D.shape[1], 1), dtype=np.float64,
order='C')
self.C_ = np.zeros((self.D.shape[1], self.D.shape[1]), dtype=np.
float64, order='C')
self.diff_alpha_CV_D = np.empty((self.D.shape[1], 1), dtype=np.
float64, order='C')
def k_(self, x):
if len(x.shape) == 1:
x = x[:, np.newaxis]
assert len(x.shape) == 2, 'Check state dimensions'
return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))
def update(self, state_sequence, reward_sequence):
"""
Update GP after observing states (state_sequence) and rewards (reward_sequence)
"""
for i in range(reward_sequence.shape[0]):
trajt_1 = state_sequence[:, i][:, np.newaxis]
trajt = state_sequence[:, i + 1][:, np.newaxis]
k_t_1 = self.kernel(self.D, trajt_1)
k_t = self.kernel(self.D, trajt)
ktt = self.kernel(trajt, trajt)
at = np.dot(self.K_inv, k_t)
delk_t_1 = k_t_1 - self.gamma * k_t
ct = np.dot(self.C_, delk_t_1) - (self.A - self.gamma * at)
st = self.sigma0 ** 2 - np.dot(ct.T, delk_t_1)
diff_r = np.dot(delk_t_1.T, self.alpha_)[0, 0] - reward_sequence[i]
self.alpha_ = self.alpha_ + ct / st * diff_r
self.C_ = self.C_ + np.dot(ct, ct.T) / st
self.A = at
assert not np.isnan(self.alpha_).any(
), 'Check alpha for NaN values'
self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)
def build_posterior(self, policy, num_episodes, max_episode_length,
test_every=np.inf, states_V_target=()):
"""
policy is a function that take state as input and returns an action
"""
statistics = trange(num_episodes)
test_error = np.array([])
for e in statistics:
is_terminal = False
num_steps = 0
state = self.env.reset()
action = policy(state)
state_sequence = np.empty((state.shape[0], max_episode_length +
1), dtype=np.float64, order='C')
state_sequence[:, 0] = state[:, 0]
reward_sequence = np.empty(max_episode_length, dtype=np.float64,
order='C')
while num_steps < max_episode_length and not is_terminal:
num_steps += 1
state, reward, is_terminal = self.env.step(action)
action = policy(state)
state_sequence[:, num_steps] = state[:, 0]
reward_sequence[num_steps - 1] = reward
state_sequence = state_sequence[:, 0:num_steps + 1]
reward_sequence = reward_sequence[0:num_steps]
if self.D.shape[1] == 0:
traj = state_sequence[:, 0][:, np.newaxis]
self.D = traj
self.V_D = self.V_mu(state_sequence[:, 0][:, np.newaxis])
self.K_inv = 1 / self.kernel(traj, traj)
self.A = np.array([[1]])
self.alpha_ = np.array([[0]])
self.C_ = np.array([[0]])
self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)
self.update(state_sequence, reward_sequence)
statistics.set_postfix(epi_length=num_steps, dict_size=self.D.
shape[1], cumm_cost=np.sum(reward_sequence))
if e % test_every == 0 and len(states_V_target) == 2:
V = self.get_value_function(states_V_target[0])
test_error = np.concatenate((test_error, np.array([np.mean(
np.abs(V - states_V_target[1]))])))
return test_error
def get_value_function(self, states):
if self.D.shape[1] == 0:
return self.V_mu(states)
else:
return self.V_mu(states) + np.dot(self.kernel(self.D, states).T,
self.diff_alpha_CV_D)
<|reserved_special_token_1|>
from tqdm import trange
import numpy as np
class GPTD_fixedGrid:
def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):
self.env = env
self.gamma = gamma
self.sigma0 = sigma0
self.kernel = kernel.kernel
if not V_mu:
V_mu = lambda s: np.zeros((s.shape[1], 1))
self.V_mu = V_mu
self.V_D = self.V_mu(D)
self.D = D
self.A = np.zeros((self.D.shape[1], 1), dtype=np.float64, order='C')
self.A[-1, 0] = 1
K = self.kernel(self.D, self.D)
self.K_inv = np.linalg.inv(K)
self.alpha_ = np.zeros((self.D.shape[1], 1), dtype=np.float64,
order='C')
self.C_ = np.zeros((self.D.shape[1], self.D.shape[1]), dtype=np.
float64, order='C')
self.diff_alpha_CV_D = np.empty((self.D.shape[1], 1), dtype=np.
float64, order='C')
def k_(self, x):
if len(x.shape) == 1:
x = x[:, np.newaxis]
assert len(x.shape) == 2, 'Check state dimensions'
return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))
def update(self, state_sequence, reward_sequence):
"""
Update GP after observing states (state_sequence) and rewards (reward_sequence)
"""
for i in range(reward_sequence.shape[0]):
trajt_1 = state_sequence[:, i][:, np.newaxis]
trajt = state_sequence[:, i + 1][:, np.newaxis]
k_t_1 = self.kernel(self.D, trajt_1)
k_t = self.kernel(self.D, trajt)
ktt = self.kernel(trajt, trajt)
at = np.dot(self.K_inv, k_t)
delk_t_1 = k_t_1 - self.gamma * k_t
ct = np.dot(self.C_, delk_t_1) - (self.A - self.gamma * at)
st = self.sigma0 ** 2 - np.dot(ct.T, delk_t_1)
diff_r = np.dot(delk_t_1.T, self.alpha_)[0, 0] - reward_sequence[i]
self.alpha_ = self.alpha_ + ct / st * diff_r
self.C_ = self.C_ + np.dot(ct, ct.T) / st
self.A = at
assert not np.isnan(self.alpha_).any(
), 'Check alpha for NaN values'
self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)
def build_posterior(self, policy, num_episodes, max_episode_length,
test_every=np.inf, states_V_target=()):
"""
policy is a function that take state as input and returns an action
"""
statistics = trange(num_episodes)
test_error = np.array([])
for e in statistics:
is_terminal = False
num_steps = 0
state = self.env.reset()
action = policy(state)
state_sequence = np.empty((state.shape[0], max_episode_length +
1), dtype=np.float64, order='C')
state_sequence[:, 0] = state[:, 0]
reward_sequence = np.empty(max_episode_length, dtype=np.float64,
order='C')
while num_steps < max_episode_length and not is_terminal:
num_steps += 1
state, reward, is_terminal = self.env.step(action)
action = policy(state)
state_sequence[:, num_steps] = state[:, 0]
reward_sequence[num_steps - 1] = reward
state_sequence = state_sequence[:, 0:num_steps + 1]
reward_sequence = reward_sequence[0:num_steps]
if self.D.shape[1] == 0:
traj = state_sequence[:, 0][:, np.newaxis]
self.D = traj
self.V_D = self.V_mu(state_sequence[:, 0][:, np.newaxis])
self.K_inv = 1 / self.kernel(traj, traj)
self.A = np.array([[1]])
self.alpha_ = np.array([[0]])
self.C_ = np.array([[0]])
self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)
self.update(state_sequence, reward_sequence)
statistics.set_postfix(epi_length=num_steps, dict_size=self.D.
shape[1], cumm_cost=np.sum(reward_sequence))
if e % test_every == 0 and len(states_V_target) == 2:
V = self.get_value_function(states_V_target[0])
test_error = np.concatenate((test_error, np.array([np.mean(
np.abs(V - states_V_target[1]))])))
return test_error
def get_value_function(self, states):
if self.D.shape[1] == 0:
return self.V_mu(states)
else:
return self.V_mu(states) + np.dot(self.kernel(self.D, states).T,
self.diff_alpha_CV_D)
<|reserved_special_token_1|>
from tqdm import trange
import numpy as np
class GPTD_fixedGrid:
def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):
self.env = env
self.gamma = gamma
self.sigma0 = sigma0
self.kernel = kernel.kernel
if (not V_mu):
V_mu = lambda s: np.zeros((s.shape[1],1))
self.V_mu = V_mu
self.V_D = self.V_mu(D)
self.D = D
# self.D = np.concatenate((self.D, self.V_D.T), axis=0) # Use V_mu in computing distances!
self.A = np.zeros((self.D.shape[1],1), dtype=np.float64, order='C')
self.A[-1,0] = 1
K = self.kernel(self.D, self.D)
self.K_inv = np.linalg.inv(K)
self.alpha_ = np.zeros((self.D.shape[1],1), dtype=np.float64, order='C')
self.C_ = np.zeros((self.D.shape[1],self.D.shape[1]), dtype=np.float64, order='C')
self.diff_alpha_CV_D = np.empty((self.D.shape[1],1), dtype=np.float64, order='C')
def k_(self,x):
if (len(x.shape)==1):
x = x[:,np.newaxis]
assert len(x.shape)==2, "Check state dimensions"
return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))
def update(self, state_sequence, reward_sequence):
"""
Update GP after observing states (state_sequence) and rewards (reward_sequence)
"""
for i in range(reward_sequence.shape[0]):
trajt_1 = state_sequence[:,i][:,np.newaxis] # No use of V_mu in computing distances!
trajt = state_sequence[:,i+1][:,np.newaxis]
# trajt_1 = np.concatenate((trajt_1, self.V_mu(trajt_1)), axis=0) # Use V_mu as well
# trajt = np.concatenate((trajt, self.V_mu(trajt)), axis=0)
k_t_1 = self.kernel(self.D, trajt_1)
k_t = self.kernel(self.D, trajt)
ktt = self.kernel(trajt, trajt)
at = np.dot(self.K_inv, k_t)
delk_t_1 = k_t_1 - self.gamma*k_t
ct = np.dot(self.C_, delk_t_1) - (self.A - self.gamma*at)
st = self.sigma0**2 - np.dot(ct.T, delk_t_1)
diff_r = np.dot(delk_t_1.T, self.alpha_)[0,0] - reward_sequence[i]
self.alpha_ = self.alpha_ + ct/st*diff_r
self.C_ = self.C_ + np.dot(ct, ct.T)/st
self.A = at
assert (not np.isnan(self.alpha_).any()), "Check alpha for NaN values"
self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)
def build_posterior(self, policy, num_episodes, max_episode_length, test_every=np.inf, states_V_target=()):
"""
policy is a function that take state as input and returns an action
"""
statistics = trange(num_episodes)
test_error = np.array([])
for e in statistics:
is_terminal = False
num_steps = 0
state = self.env.reset()
action = policy(state)
state_sequence = np.empty((state.shape[0], max_episode_length+1), dtype=np.float64, order='C')
state_sequence[:, 0] = state[:,0]
reward_sequence = np.empty(max_episode_length, dtype=np.float64, order='C')
while ((num_steps < max_episode_length) and (not is_terminal)):
num_steps+=1
state, reward, is_terminal = self.env.step(action)
action = policy(state)
state_sequence[:, num_steps] = state[:,0]
reward_sequence[num_steps-1] = reward
state_sequence = state_sequence[:, 0:(num_steps+1)]
reward_sequence = reward_sequence[0:num_steps]
if (self.D.shape[1]==0):
traj = state_sequence[:,0][:,np.newaxis]
self.D = traj
self.V_D = self.V_mu(state_sequence[:,0][:,np.newaxis])
self.K_inv = 1/self.kernel(traj, traj)
self.A = np.array([[1]])
self.alpha_ = np.array([[0]])
self.C_= np.array([[0]])
self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)
self.update(state_sequence, reward_sequence)
statistics.set_postfix(epi_length=num_steps, dict_size=self.D.shape[1], cumm_cost=np.sum(reward_sequence))
if (e%test_every==0 and len(states_V_target)==2):
V = self.get_value_function(states_V_target[0])
test_error = np.concatenate((test_error, np.array([np.mean(np.abs(V - states_V_target[1]))])))
return test_error
def get_value_function(self, states):
if (self.D.shape[1]==0):
return self.V_mu(states)
else:
return self.V_mu(states) + np.dot(self.kernel(self.D, states).T, self.diff_alpha_CV_D)
|
flexible
|
{
"blob_id": "92eaceb46974ba3a5944300139d5929d44673181",
"index": 1223,
"step-1": "<mask token>\n\n\nclass GPTD_fixedGrid:\n\n def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):\n self.env = env\n self.gamma = gamma\n self.sigma0 = sigma0\n self.kernel = kernel.kernel\n if not V_mu:\n V_mu = lambda s: np.zeros((s.shape[1], 1))\n self.V_mu = V_mu\n self.V_D = self.V_mu(D)\n self.D = D\n self.A = np.zeros((self.D.shape[1], 1), dtype=np.float64, order='C')\n self.A[-1, 0] = 1\n K = self.kernel(self.D, self.D)\n self.K_inv = np.linalg.inv(K)\n self.alpha_ = np.zeros((self.D.shape[1], 1), dtype=np.float64,\n order='C')\n self.C_ = np.zeros((self.D.shape[1], self.D.shape[1]), dtype=np.\n float64, order='C')\n self.diff_alpha_CV_D = np.empty((self.D.shape[1], 1), dtype=np.\n float64, order='C')\n\n def k_(self, x):\n if len(x.shape) == 1:\n x = x[:, np.newaxis]\n assert len(x.shape) == 2, 'Check state dimensions'\n return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass GPTD_fixedGrid:\n\n def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):\n self.env = env\n self.gamma = gamma\n self.sigma0 = sigma0\n self.kernel = kernel.kernel\n if not V_mu:\n V_mu = lambda s: np.zeros((s.shape[1], 1))\n self.V_mu = V_mu\n self.V_D = self.V_mu(D)\n self.D = D\n self.A = np.zeros((self.D.shape[1], 1), dtype=np.float64, order='C')\n self.A[-1, 0] = 1\n K = self.kernel(self.D, self.D)\n self.K_inv = np.linalg.inv(K)\n self.alpha_ = np.zeros((self.D.shape[1], 1), dtype=np.float64,\n order='C')\n self.C_ = np.zeros((self.D.shape[1], self.D.shape[1]), dtype=np.\n float64, order='C')\n self.diff_alpha_CV_D = np.empty((self.D.shape[1], 1), dtype=np.\n float64, order='C')\n\n def k_(self, x):\n if len(x.shape) == 1:\n x = x[:, np.newaxis]\n assert len(x.shape) == 2, 'Check state dimensions'\n return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))\n\n def update(self, state_sequence, reward_sequence):\n \"\"\"\n Update GP after observing states (state_sequence) and rewards (reward_sequence)\n \"\"\"\n for i in range(reward_sequence.shape[0]):\n trajt_1 = state_sequence[:, i][:, np.newaxis]\n trajt = state_sequence[:, i + 1][:, np.newaxis]\n k_t_1 = self.kernel(self.D, trajt_1)\n k_t = self.kernel(self.D, trajt)\n ktt = self.kernel(trajt, trajt)\n at = np.dot(self.K_inv, k_t)\n delk_t_1 = k_t_1 - self.gamma * k_t\n ct = np.dot(self.C_, delk_t_1) - (self.A - self.gamma * at)\n st = self.sigma0 ** 2 - np.dot(ct.T, delk_t_1)\n diff_r = np.dot(delk_t_1.T, self.alpha_)[0, 0] - reward_sequence[i]\n self.alpha_ = self.alpha_ + ct / st * diff_r\n self.C_ = self.C_ + np.dot(ct, ct.T) / st\n self.A = at\n assert not np.isnan(self.alpha_).any(\n ), 'Check alpha for NaN values'\n self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)\n <mask token>\n\n def get_value_function(self, states):\n if self.D.shape[1] == 0:\n return self.V_mu(states)\n else:\n return self.V_mu(states) + np.dot(self.kernel(self.D, states).T,\n self.diff_alpha_CV_D)\n",
"step-3": "<mask token>\n\n\nclass GPTD_fixedGrid:\n\n def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):\n self.env = env\n self.gamma = gamma\n self.sigma0 = sigma0\n self.kernel = kernel.kernel\n if not V_mu:\n V_mu = lambda s: np.zeros((s.shape[1], 1))\n self.V_mu = V_mu\n self.V_D = self.V_mu(D)\n self.D = D\n self.A = np.zeros((self.D.shape[1], 1), dtype=np.float64, order='C')\n self.A[-1, 0] = 1\n K = self.kernel(self.D, self.D)\n self.K_inv = np.linalg.inv(K)\n self.alpha_ = np.zeros((self.D.shape[1], 1), dtype=np.float64,\n order='C')\n self.C_ = np.zeros((self.D.shape[1], self.D.shape[1]), dtype=np.\n float64, order='C')\n self.diff_alpha_CV_D = np.empty((self.D.shape[1], 1), dtype=np.\n float64, order='C')\n\n def k_(self, x):\n if len(x.shape) == 1:\n x = x[:, np.newaxis]\n assert len(x.shape) == 2, 'Check state dimensions'\n return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))\n\n def update(self, state_sequence, reward_sequence):\n \"\"\"\n Update GP after observing states (state_sequence) and rewards (reward_sequence)\n \"\"\"\n for i in range(reward_sequence.shape[0]):\n trajt_1 = state_sequence[:, i][:, np.newaxis]\n trajt = state_sequence[:, i + 1][:, np.newaxis]\n k_t_1 = self.kernel(self.D, trajt_1)\n k_t = self.kernel(self.D, trajt)\n ktt = self.kernel(trajt, trajt)\n at = np.dot(self.K_inv, k_t)\n delk_t_1 = k_t_1 - self.gamma * k_t\n ct = np.dot(self.C_, delk_t_1) - (self.A - self.gamma * at)\n st = self.sigma0 ** 2 - np.dot(ct.T, delk_t_1)\n diff_r = np.dot(delk_t_1.T, self.alpha_)[0, 0] - reward_sequence[i]\n self.alpha_ = self.alpha_ + ct / st * diff_r\n self.C_ = self.C_ + np.dot(ct, ct.T) / st\n self.A = at\n assert not np.isnan(self.alpha_).any(\n ), 'Check alpha for NaN values'\n self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)\n\n def build_posterior(self, policy, num_episodes, max_episode_length,\n test_every=np.inf, states_V_target=()):\n \"\"\"\n policy is a function that take state as input and returns an action\n \"\"\"\n statistics = trange(num_episodes)\n test_error = np.array([])\n for e in statistics:\n is_terminal = False\n num_steps = 0\n state = self.env.reset()\n action = policy(state)\n state_sequence = np.empty((state.shape[0], max_episode_length +\n 1), dtype=np.float64, order='C')\n state_sequence[:, 0] = state[:, 0]\n reward_sequence = np.empty(max_episode_length, dtype=np.float64,\n order='C')\n while num_steps < max_episode_length and not is_terminal:\n num_steps += 1\n state, reward, is_terminal = self.env.step(action)\n action = policy(state)\n state_sequence[:, num_steps] = state[:, 0]\n reward_sequence[num_steps - 1] = reward\n state_sequence = state_sequence[:, 0:num_steps + 1]\n reward_sequence = reward_sequence[0:num_steps]\n if self.D.shape[1] == 0:\n traj = state_sequence[:, 0][:, np.newaxis]\n self.D = traj\n self.V_D = self.V_mu(state_sequence[:, 0][:, np.newaxis])\n self.K_inv = 1 / self.kernel(traj, traj)\n self.A = np.array([[1]])\n self.alpha_ = np.array([[0]])\n self.C_ = np.array([[0]])\n self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)\n self.update(state_sequence, reward_sequence)\n statistics.set_postfix(epi_length=num_steps, dict_size=self.D.\n shape[1], cumm_cost=np.sum(reward_sequence))\n if e % test_every == 0 and len(states_V_target) == 2:\n V = self.get_value_function(states_V_target[0])\n test_error = np.concatenate((test_error, np.array([np.mean(\n np.abs(V - states_V_target[1]))])))\n return test_error\n\n def get_value_function(self, states):\n if self.D.shape[1] == 0:\n return self.V_mu(states)\n else:\n return self.V_mu(states) + np.dot(self.kernel(self.D, states).T,\n self.diff_alpha_CV_D)\n",
"step-4": "from tqdm import trange\nimport numpy as np\n\n\nclass GPTD_fixedGrid:\n\n def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):\n self.env = env\n self.gamma = gamma\n self.sigma0 = sigma0\n self.kernel = kernel.kernel\n if not V_mu:\n V_mu = lambda s: np.zeros((s.shape[1], 1))\n self.V_mu = V_mu\n self.V_D = self.V_mu(D)\n self.D = D\n self.A = np.zeros((self.D.shape[1], 1), dtype=np.float64, order='C')\n self.A[-1, 0] = 1\n K = self.kernel(self.D, self.D)\n self.K_inv = np.linalg.inv(K)\n self.alpha_ = np.zeros((self.D.shape[1], 1), dtype=np.float64,\n order='C')\n self.C_ = np.zeros((self.D.shape[1], self.D.shape[1]), dtype=np.\n float64, order='C')\n self.diff_alpha_CV_D = np.empty((self.D.shape[1], 1), dtype=np.\n float64, order='C')\n\n def k_(self, x):\n if len(x.shape) == 1:\n x = x[:, np.newaxis]\n assert len(x.shape) == 2, 'Check state dimensions'\n return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))\n\n def update(self, state_sequence, reward_sequence):\n \"\"\"\n Update GP after observing states (state_sequence) and rewards (reward_sequence)\n \"\"\"\n for i in range(reward_sequence.shape[0]):\n trajt_1 = state_sequence[:, i][:, np.newaxis]\n trajt = state_sequence[:, i + 1][:, np.newaxis]\n k_t_1 = self.kernel(self.D, trajt_1)\n k_t = self.kernel(self.D, trajt)\n ktt = self.kernel(trajt, trajt)\n at = np.dot(self.K_inv, k_t)\n delk_t_1 = k_t_1 - self.gamma * k_t\n ct = np.dot(self.C_, delk_t_1) - (self.A - self.gamma * at)\n st = self.sigma0 ** 2 - np.dot(ct.T, delk_t_1)\n diff_r = np.dot(delk_t_1.T, self.alpha_)[0, 0] - reward_sequence[i]\n self.alpha_ = self.alpha_ + ct / st * diff_r\n self.C_ = self.C_ + np.dot(ct, ct.T) / st\n self.A = at\n assert not np.isnan(self.alpha_).any(\n ), 'Check alpha for NaN values'\n self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)\n\n def build_posterior(self, policy, num_episodes, max_episode_length,\n test_every=np.inf, states_V_target=()):\n \"\"\"\n policy is a function that take state as input and returns an action\n \"\"\"\n statistics = trange(num_episodes)\n test_error = np.array([])\n for e in statistics:\n is_terminal = False\n num_steps = 0\n state = self.env.reset()\n action = policy(state)\n state_sequence = np.empty((state.shape[0], max_episode_length +\n 1), dtype=np.float64, order='C')\n state_sequence[:, 0] = state[:, 0]\n reward_sequence = np.empty(max_episode_length, dtype=np.float64,\n order='C')\n while num_steps < max_episode_length and not is_terminal:\n num_steps += 1\n state, reward, is_terminal = self.env.step(action)\n action = policy(state)\n state_sequence[:, num_steps] = state[:, 0]\n reward_sequence[num_steps - 1] = reward\n state_sequence = state_sequence[:, 0:num_steps + 1]\n reward_sequence = reward_sequence[0:num_steps]\n if self.D.shape[1] == 0:\n traj = state_sequence[:, 0][:, np.newaxis]\n self.D = traj\n self.V_D = self.V_mu(state_sequence[:, 0][:, np.newaxis])\n self.K_inv = 1 / self.kernel(traj, traj)\n self.A = np.array([[1]])\n self.alpha_ = np.array([[0]])\n self.C_ = np.array([[0]])\n self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)\n self.update(state_sequence, reward_sequence)\n statistics.set_postfix(epi_length=num_steps, dict_size=self.D.\n shape[1], cumm_cost=np.sum(reward_sequence))\n if e % test_every == 0 and len(states_V_target) == 2:\n V = self.get_value_function(states_V_target[0])\n test_error = np.concatenate((test_error, np.array([np.mean(\n np.abs(V - states_V_target[1]))])))\n return test_error\n\n def get_value_function(self, states):\n if self.D.shape[1] == 0:\n return self.V_mu(states)\n else:\n return self.V_mu(states) + np.dot(self.kernel(self.D, states).T,\n self.diff_alpha_CV_D)\n",
"step-5": "from tqdm import trange\nimport numpy as np\n\nclass GPTD_fixedGrid:\n def __init__(self, env, sigma0, gamma, kernel, D, V_mu=[]):\n \n self.env = env\n self.gamma = gamma\n self.sigma0 = sigma0\n self.kernel = kernel.kernel\n if (not V_mu):\n V_mu = lambda s: np.zeros((s.shape[1],1))\n self.V_mu = V_mu\n self.V_D = self.V_mu(D)\n self.D = D\n # self.D = np.concatenate((self.D, self.V_D.T), axis=0) # Use V_mu in computing distances!\n self.A = np.zeros((self.D.shape[1],1), dtype=np.float64, order='C')\n self.A[-1,0] = 1\n K = self.kernel(self.D, self.D)\n self.K_inv = np.linalg.inv(K)\n self.alpha_ = np.zeros((self.D.shape[1],1), dtype=np.float64, order='C')\n self.C_ = np.zeros((self.D.shape[1],self.D.shape[1]), dtype=np.float64, order='C')\n self.diff_alpha_CV_D = np.empty((self.D.shape[1],1), dtype=np.float64, order='C')\n \n def k_(self,x):\n\n if (len(x.shape)==1):\n x = x[:,np.newaxis]\n assert len(x.shape)==2, \"Check state dimensions\"\n\n return self.kernel(self.D, np.repeat(x, self.D.shape[1], axis=1))\n\n def update(self, state_sequence, reward_sequence):\n \"\"\"\n Update GP after observing states (state_sequence) and rewards (reward_sequence)\n \"\"\"\n\n for i in range(reward_sequence.shape[0]):\n\n trajt_1 = state_sequence[:,i][:,np.newaxis] # No use of V_mu in computing distances!\n trajt = state_sequence[:,i+1][:,np.newaxis]\n # trajt_1 = np.concatenate((trajt_1, self.V_mu(trajt_1)), axis=0) # Use V_mu as well\n # trajt = np.concatenate((trajt, self.V_mu(trajt)), axis=0)\n k_t_1 = self.kernel(self.D, trajt_1)\n k_t = self.kernel(self.D, trajt)\n ktt = self.kernel(trajt, trajt)\n at = np.dot(self.K_inv, k_t)\n delk_t_1 = k_t_1 - self.gamma*k_t\n\n ct = np.dot(self.C_, delk_t_1) - (self.A - self.gamma*at)\n st = self.sigma0**2 - np.dot(ct.T, delk_t_1)\n\n diff_r = np.dot(delk_t_1.T, self.alpha_)[0,0] - reward_sequence[i]\n self.alpha_ = self.alpha_ + ct/st*diff_r\n\n self.C_ = self.C_ + np.dot(ct, ct.T)/st\n\n self.A = at\n\n assert (not np.isnan(self.alpha_).any()), \"Check alpha for NaN values\"\n\n self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)\n\n def build_posterior(self, policy, num_episodes, max_episode_length, test_every=np.inf, states_V_target=()):\n \"\"\"\n policy is a function that take state as input and returns an action\n \"\"\"\n\n statistics = trange(num_episodes)\n test_error = np.array([])\n\n for e in statistics:\n is_terminal = False\n num_steps = 0\n state = self.env.reset()\n action = policy(state)\n \n state_sequence = np.empty((state.shape[0], max_episode_length+1), dtype=np.float64, order='C')\n state_sequence[:, 0] = state[:,0]\n reward_sequence = np.empty(max_episode_length, dtype=np.float64, order='C')\n \n while ((num_steps < max_episode_length) and (not is_terminal)):\n num_steps+=1\n state, reward, is_terminal = self.env.step(action)\n action = policy(state)\n\n state_sequence[:, num_steps] = state[:,0]\n reward_sequence[num_steps-1] = reward\n\n state_sequence = state_sequence[:, 0:(num_steps+1)]\n reward_sequence = reward_sequence[0:num_steps]\n\n if (self.D.shape[1]==0):\n\n traj = state_sequence[:,0][:,np.newaxis]\n self.D = traj\n self.V_D = self.V_mu(state_sequence[:,0][:,np.newaxis])\n self.K_inv = 1/self.kernel(traj, traj)\n self.A = np.array([[1]])\n self.alpha_ = np.array([[0]])\n self.C_= np.array([[0]])\n self.diff_alpha_CV_D = self.alpha_ - np.dot(self.C_, self.V_D)\n\n self.update(state_sequence, reward_sequence)\n statistics.set_postfix(epi_length=num_steps, dict_size=self.D.shape[1], cumm_cost=np.sum(reward_sequence))\n if (e%test_every==0 and len(states_V_target)==2):\n V = self.get_value_function(states_V_target[0])\n test_error = np.concatenate((test_error, np.array([np.mean(np.abs(V - states_V_target[1]))])))\n\n return test_error\n \n def get_value_function(self, states):\n\n if (self.D.shape[1]==0):\n return self.V_mu(states) \n\n else:\n return self.V_mu(states) + np.dot(self.kernel(self.D, states).T, self.diff_alpha_CV_D)",
"step-ids": [
3,
5,
6,
7,
8
]
}
|
[
3,
5,
6,
7,
8
] |
import cv2
import numpy as np
import copy
imgpath = 'D:\\DIP-Project1/b.jpg'
img = cv2.imread(imgpath)
img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imshow('img', img)
row = len(img)
col = len(img[0])
def medianflt(img, i, j, msize, mr, mc):
pxls = []
for a in range(msize):
for b in range(msize):
mi = i + a - mr
mj = j + b - mc
pxls.append(img[mi][mj])
pxls.sort()
return pxls[msize * msize // 2]
def orderstatistic(img, row, col, msize=3):
rimg = copy.deepcopy(img)
mr = (msize - 1) // 2
mc = (msize - 1) // 2
for i in range(mr, row - mr - 1):
for j in range(mc, col - mc - 1):
rimg[i][j] = medianflt(img, i, j, msize, mr, mc)
return rimg
d0 = 9
rimg = orderstatistic(img, row, col, d0)
cv2.imshow('aimg', rimg)
cv2.waitKey(0)
|
normal
|
{
"blob_id": "cfcce8c760f6ba49ce450d78782cb8f3b5fc1188",
"index": 2857,
"step-1": "<mask token>\n\n\ndef medianflt(img, i, j, msize, mr, mc):\n pxls = []\n for a in range(msize):\n for b in range(msize):\n mi = i + a - mr\n mj = j + b - mc\n pxls.append(img[mi][mj])\n pxls.sort()\n return pxls[msize * msize // 2]\n\n\ndef orderstatistic(img, row, col, msize=3):\n rimg = copy.deepcopy(img)\n mr = (msize - 1) // 2\n mc = (msize - 1) // 2\n for i in range(mr, row - mr - 1):\n for j in range(mc, col - mc - 1):\n rimg[i][j] = medianflt(img, i, j, msize, mr, mc)\n return rimg\n\n\n<mask token>\n",
"step-2": "<mask token>\ncv2.imshow('img', img)\n<mask token>\n\n\ndef medianflt(img, i, j, msize, mr, mc):\n pxls = []\n for a in range(msize):\n for b in range(msize):\n mi = i + a - mr\n mj = j + b - mc\n pxls.append(img[mi][mj])\n pxls.sort()\n return pxls[msize * msize // 2]\n\n\ndef orderstatistic(img, row, col, msize=3):\n rimg = copy.deepcopy(img)\n mr = (msize - 1) // 2\n mc = (msize - 1) // 2\n for i in range(mr, row - mr - 1):\n for j in range(mc, col - mc - 1):\n rimg[i][j] = medianflt(img, i, j, msize, mr, mc)\n return rimg\n\n\n<mask token>\ncv2.imshow('aimg', rimg)\ncv2.waitKey(0)\n",
"step-3": "<mask token>\nimgpath = 'D:\\\\DIP-Project1/b.jpg'\nimg = cv2.imread(imgpath)\nimg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\ncv2.imshow('img', img)\nrow = len(img)\ncol = len(img[0])\n\n\ndef medianflt(img, i, j, msize, mr, mc):\n pxls = []\n for a in range(msize):\n for b in range(msize):\n mi = i + a - mr\n mj = j + b - mc\n pxls.append(img[mi][mj])\n pxls.sort()\n return pxls[msize * msize // 2]\n\n\ndef orderstatistic(img, row, col, msize=3):\n rimg = copy.deepcopy(img)\n mr = (msize - 1) // 2\n mc = (msize - 1) // 2\n for i in range(mr, row - mr - 1):\n for j in range(mc, col - mc - 1):\n rimg[i][j] = medianflt(img, i, j, msize, mr, mc)\n return rimg\n\n\nd0 = 9\nrimg = orderstatistic(img, row, col, d0)\ncv2.imshow('aimg', rimg)\ncv2.waitKey(0)\n",
"step-4": "import cv2\nimport numpy as np\nimport copy\nimgpath = 'D:\\\\DIP-Project1/b.jpg'\nimg = cv2.imread(imgpath)\nimg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\ncv2.imshow('img', img)\nrow = len(img)\ncol = len(img[0])\n\n\ndef medianflt(img, i, j, msize, mr, mc):\n pxls = []\n for a in range(msize):\n for b in range(msize):\n mi = i + a - mr\n mj = j + b - mc\n pxls.append(img[mi][mj])\n pxls.sort()\n return pxls[msize * msize // 2]\n\n\ndef orderstatistic(img, row, col, msize=3):\n rimg = copy.deepcopy(img)\n mr = (msize - 1) // 2\n mc = (msize - 1) // 2\n for i in range(mr, row - mr - 1):\n for j in range(mc, col - mc - 1):\n rimg[i][j] = medianflt(img, i, j, msize, mr, mc)\n return rimg\n\n\nd0 = 9\nrimg = orderstatistic(img, row, col, d0)\ncv2.imshow('aimg', rimg)\ncv2.waitKey(0)\n",
"step-5": null,
"step-ids": [
2,
3,
4,
5
]
}
|
[
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class Post:
def __init__(self, date, text, medias):
self.date = date
self.text = text
self.medias = medias
self.dcim = []
self.daterank = 0
self.extra = False
def __lt__(self, other):
return self.date < other.date
@classmethod
def from_markdown(cls, post):
m = re.match('\\[(\\d\\d\\d\\d/\\d\\d/\\d\\d)\\]\\n*', post[0])
if m:
date = m.group(1).replace('/', '')
if not validate_date(date):
error('Incorrect date value:', date)
del post[0]
else:
error('No date in post', ' '.join(post))
while post and not post[0].strip():
del post[0]
text = ''
while post and not re.match('!?\\[\\]', post[0]):
text += post[0]
del post[0]
text = re.sub('\\n\\n$', '\n', text)
medias = list()
while post and (match := re.match('!?\\[\\]\\((.*)\\)', post[0])):
media = match.group(1)
caption = None
del post[0]
if post and not re.match('!?\\[\\]', post[0]):
caption = post[0].strip()
del post[0]
if match.group(0)[0] == '!':
medias.append(PostImage(caption, media))
else:
medias.append(PostVideo(caption, media))
return cls(date, text, medias)
@classmethod
def from_date(cls, date):
dt = datetime.datetime.strptime(date, '%Y%m%d')
datetext = dt.strftime('%A %d %B %Y').capitalize()
post = cls(date, text=datetext, medias=[])
post.daterank = 1
return post
def to_html(self, args, target='regular'):
if target == 'regular':
if args.diary:
return self.to_html_diary(args)
else:
return self.to_html_regular(args)
if target == 'blogger':
return self.to_html_blogger()
def to_html_regular(self, args):
html = list()
if self.text:
html.append(markdown.markdown(self.text))
subdirs, dcim = dispatch_post_items(self.dcim)
if self.dcim:
html.append(SEP)
for media in subdirs:
html.append(media.to_html_dcim(args))
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
return html
def to_html_diary(self, args):
html = list()
if self.extra:
html.append('<div class="extra">')
if self.text:
html.append(markdown.markdown(self.text))
if self.medias:
html.append(f'<div id="gallery-blog-{self.date}-{self.daterank}">')
for media in self.medias:
html.append(media.to_html_post(args))
html.append('</div>')
_, dcim = dispatch_post_items(self.dcim)
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
html.append(SEP)
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
if self.extra:
html.append('</div>')
return html
def to_html_blogger(self):
html = list()
html.append(markdown.markdown(self.text))
for image in self.medias:
html.append(image.to_html_blogger())
html.append(SEP)
return html
class PostItem:
def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):
self.caption = caption
self.uri = uri
self.basename = os.path.basename(uri)
self.thumb = thumb
self.thumbsize = thumbsize
self.descr = descr
self.resized_url = None
class PostImage(PostItem):
def to_markdown(self):
if not self.caption:
return '' % (self.uri,)
else:
return '\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,
descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *
self.thumbsize, descr)
def to_html_blogger(self):
if not self.caption:
return BIMGPAT % (self.uri, self.resized_url)
else:
return f'{BIMGPAT}\n{CAPTION_PAT}' % (self.uri, self.
resized_url, self.caption)
class PostVideo(PostItem):
def to_markdown(self):
if not self.caption:
return '[](%s)' % (self.uri,)
else:
return '[](%s)\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,
descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *
self.thumbsize, descr)
def to_html_blogger(self):
x = f'<p style="text-align: center;">{self.iframe}</p>'
if not self.caption:
return x
else:
return f'%s\n{CAPTION_PAT}' % (x, self.caption)
class PostSubdir(PostItem):
def to_html_dcim(self, args):
basename = os.path.basename(self.htmname)
posts = self.posts
title = self.caption
print_html(args, posts, title, self.htmname)
if not self.caption:
return DIRPOST % (basename, self.thumb, *self.thumbsize)
else:
return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize,
self.caption)
<|reserved_special_token_0|>
def parse_markdown(filename):
"""
Generate Post objects from markdown. Date must be present in each post and
posts must be ordrered by date.
"""
if not os.path.exists(filename):
error('File not found', filename)
posts = list()
with open(filename, encoding='utf-8') as f:
line = next(f)
if line.startswith('# '):
title = line[2:].strip()
record = []
next(f)
else:
title = None
record = [line]
for line in f:
if not line.startswith('___'):
record.append(line)
else:
posts.append(Post.from_markdown(record))
record = []
daterank = defaultdict(int)
for post in posts:
daterank[post.date] += 1
post.daterank = daterank[post.date]
for post1, post2 in zip(posts[:-1], posts[1:]):
if post1.date > post2.date:
error('Posts are not ordered', f'{post1.date} > {post2.date}')
return title, posts
def print_markdown(posts, title, fullname):
with open(fullname, 'wt', encoding='utf-8') as fdst:
print(f'# {title}\n', file=fdst)
for post in posts:
date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'
print(date, file=fdst)
if post.text:
print(file=fdst)
for line in post.text.splitlines():
if not line:
print(file=fdst)
else:
for chunk in textwrap.wrap(line, width=78):
print(chunk, file=fdst)
if post.medias:
print(file=fdst)
for media in post.medias:
print(media.to_markdown(), file=fdst)
print('______', file=fdst)
<|reserved_special_token_0|>
def is_image_file(name):
return os.path.splitext(name)[1].lower() in ('.jpg', '.jpeg', '.png',
'.gif', '.bmp', '.webp', '.tif')
<|reserved_special_token_0|>
def is_media(name):
return is_image_file(name) or is_video_file(name)
<|reserved_special_token_0|>
def date_from_name(name):
if (match := re.search('(?:\\D|^)(\\d{8})(?:\\D|$)', name, re.ASCII)):
digits = match.group(1)
if validate_date(digits):
return digits
return None
def date_from_item(filename):
if (date := date_from_name(filename)):
return date
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')
def time_from_name(name):
if (match := re.search('(?:\\D|^)(\\d{8})\\D(\\d{6})(?:\\D|$)', name,
re.ASCII)):
digits = match.group(2)
hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits
[4:6])
if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:
return digits
return None
def time_from_item(filename):
if (time := time_from_name(filename)):
return time
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')
<|reserved_special_token_0|>
def get_image_info(filename):
date = date_from_item(filename)
time = time_from_item(filename)
img = Image.open(filename)
width, height = img.size
size = round(os.path.getsize(filename) / 1000000.0, 1)
return (date, time, width, height, size
), f'{date} {time}, dim={width}x{height}, {size} MB'
def get_video_info(filename, info_fullname):
if os.path.exists(info_fullname):
with open(info_fullname) as f:
info = f.readline().split()
date, time, width, height, size, duration, fps = info[0], info[1], int(
info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6]
)
formatted_info = format_video_info(date, time, width, height, size,
duration, fps)
return (date, time, width, height, size, duration, fps), formatted_info
else:
info, formatted_info = make_video_info(filename, info_fullname)
with open(info_fullname, 'wt') as f:
print(' '.join([str(_) for _ in info]), file=f)
return info, formatted_info
def make_video_info(filename, info_fullname):
date = date_from_item(filename)
time = time_from_item(filename)
command = [*FFPROBE_CMD.split(), filename]
try:
output = check_output(command, stderr=STDOUT).decode()
width, height, fps, duration = parse_ffprobe_output(output)
size = round(os.path.getsize(filename) / 1000000.0, 1)
output = format_video_info(date, time, width, height, size,
duration, fps)
except CalledProcessError as e:
output = e.output.decode()
warning(output)
raise
return (date, time, width, height, size, duration, fps), output
def parse_ffprobe_output(ffprobe_output):
match = re.match(
'(\\d+),(\\d+),(\\d+)/(\\d+),(\\d+/\\d+).*\\s(\\d+\\.\\d+)',
ffprobe_output, re.DOTALL)
width = int(match.group(1))
height = int(match.group(2))
fps = round(int(match.group(3)) / int(match.group(4)), 1)
duration = round(float(match.group(6)))
return width, height, fps, duration
def format_video_info(date, time, width, height, size, duration, fps):
return (
f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'
)
<|reserved_special_token_0|>
def size_thumbnail(width, height, maxdim):
if width >= height:
return maxdim, int(round(maxdim * height / width))
else:
return int(round(maxdim * width / height)), maxdim
def make_thumbnail_image(args, image_name, thumb_name, size):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_image(image_name, thumb_name, size)
def create_thumbnail_image(image_name, thumb_name, size):
imgobj = Image.open(image_name)
if imgobj.mode != 'RGBA' and image_name.endswith('.jpg') and not (
image_name.endswith('.gif') and imgobj.info.get('transparency')):
imgobj = imgobj.convert('RGBA')
imgobj.thumbnail(size, Image.LANCZOS)
imgobj = imgobj.convert('RGB')
imgobj.save(thumb_name)
def make_thumbnail_video(args, video_name, thumb_name, size, duration):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_video(args, video_name, thumb_name, size, duration)
<|reserved_special_token_0|>
def create_thumbnail_video(args, filename, thumbname, size, duration):
delay = min(duration - 1, args.thumbnails.thumbdelay)
sizearg = '%dx%d' % size
command = (
'ffmpeg -y -v error -itsoffset -%d -i "%s" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s "%s"'
)
command = command % (delay, filename, sizearg, thumbname)
result = os.system(command)
try:
img1 = Image.open(thumbname)
except:
warning('Unable to save thumbnail for', filename)
return
img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))
width, height = img1.size
img1.paste(img2, (6, height - 20 - 6), None)
img1.save(thumbname)
<|reserved_special_token_0|>
def create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):
def size_thumbnail(width, height, xmax, ymax):
width2 = xmax
height2 = int(round(xmax * height / width))
if height2 < ymax:
width2 = int(round(ymax * width / height))
height2 = ymax
return width2, height2
thumblist = [os.path.basename(item.thumb) for item in items]
widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size
, thumblist)
thumbnum = widthnum * heightnum
img = Image.new('RGB', size, SUBDIR_BACKCOL)
for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):
row = ind // widthnum
col = ind % widthnum
img2 = Image.open(os.path.join(thumbdir, thumb))
w, h = size_thumbnail(*img2.size, width[col], height[row])
cropdim = (w - width[col]) // 2, (h - height[row]) // 2, (w - width
[col]) // 2 + width[col], (h - height[row]) // 2 + height[row]
img2 = img2.resize((w, h), Image.LANCZOS)
img2 = img2.crop(cropdim)
img.paste(img2, (offsetx[col], offsety[row]))
if os.path.exists(thumb_name):
imgref = Image.open(thumb_name)
byteio = io.BytesIO()
img.save(byteio, 'JPEG')
byteio.seek(0)
imgnew = Image.open(byteio)
diff = ImageChops.difference(imgnew, imgref)
if diff.getbbox() is None:
return
img.save(thumb_name)
<|reserved_special_token_0|>
def list_of_htmlfiles_in_items(itemlist):
htmlist = list()
for item in itemlist:
if type(item) == PostSubdir:
htmlist.append(item.htmname)
htmlist.extend(list_of_htmlfiles_in_items(item.sublist))
return htmlist
def list_of_thumbnails(posts, diary=False):
thumblist = list()
for post in posts:
thumblist.extend(list_of_thumbnails_in_items(post.medias))
if diary is False:
thumblist.extend(list_of_thumbnails_in_items(post.dcim))
return thumblist
def list_of_thumbnails_in_items(itemlist):
thumblist = list()
for item in itemlist:
if type(item) == PostSubdir:
thumblist.append(os.path.basename(item.thumb))
thumblist.extend(list_of_thumbnails_in_items(item.sublist))
else:
thumblist.append(os.path.basename(item.thumb))
return thumblist
def purge_htmlfiles(args, posts):
"""
Purge root dir from irrelevant html files
"""
htmlist = list_of_htmlfiles(args, posts)
html_to_remove = list()
for fullname in glob.glob(os.path.join(args.root, '*.htm*')):
if fullname not in htmlist:
html_to_remove.append(fullname)
if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:
inpt = 'x'
while inpt not in 'yn':
inpt = input(
f'{len(html_to_remove)} html files to remove. Continue [y|n]? '
).lower()
if inpt == 'n':
return
for name in html_to_remove:
print('Removing html files', name)
os.remove(name)
def purge_thumbnails(args, thumbdir, posts, diary=False):
"""
Purge thumbnail dir from irrelevant thumbnails
"""
thumblist = list_of_thumbnails(posts, diary)
thumbs_to_remove = list()
for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):
if os.path.basename(fullname) not in thumblist:
thumbs_to_remove.append(fullname)
if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:
inpt = 'x'
while inpt not in 'yn':
inpt = input(
f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? '
).lower()
if inpt == 'n':
return
for name in thumbs_to_remove:
print('Removing thumbnail', name)
os.remove(name)
info_fullname = os.path.splitext(name)[0] + '.info'
if os.path.exists(info_fullname):
os.remove(info_fullname)
def is_media_within_dates(fullname, dates):
if is_media(fullname):
if type(dates) == tuple:
return dates[0] <= date_from_item(fullname) <= dates[1]
else:
return True
else:
return False
def sorted_listdir(filelist):
like_windows_explorer = True
if not filelist:
return filelist
if like_windows_explorer:
maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)
def keyfunc(name):
root, ext = os.path.splitext(name.lower())
return root.ljust(maxlen, ' ') + ext
else:
keyfunc = str.lower
return sorted(filelist, key=keyfunc)
<|reserved_special_token_0|>
def list_of_medias(args, sourcedir, recursive):
"""
Return the list of full paths for pictures and movies in source directory
"""
files = list_of_files(sourcedir, recursive)
return [_ for _ in files if is_media_within_dates(_, args.dates)]
<|reserved_special_token_0|>
def dispatch_post_items(list_of_post_items):
subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]
medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]
return subdirs, medias
def create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):
if os.path.isfile(media_fullname):
if is_image_file(media_fullname):
return create_item_image(args, media_fullname, sourcedir,
thumbdir, key, thumbmax)
else:
return create_item_video(args, media_fullname, sourcedir,
thumbdir, key, thumbmax)
else:
return create_item_subdir(args, media_fullname, sourcedir, thumbdir,
key, thumbmax)
def create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax
):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
try:
info, infofmt = get_image_info(media_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)
return PostImage(None, media_fullname, '/'.join((args.thumbrep,
thumb_basename)), thumbsize, infofmt)
except PIL.UnidentifiedImageError:
warning('Unable to read image', media_fullname)
return None
def create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax
):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'
try:
info, infofmt = get_video_info(media_fullname, info_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_video(args, media_fullname, thumb_fullname,
thumbsize, duration=info[5])
return PostVideo(None, media_fullname, '/'.join((args.thumbrep,
thumb_basename)), thumbsize, infofmt)
except CalledProcessError:
warning('Unable to read video', media_fullname)
return None
<|reserved_special_token_0|>
def relative_name(media_fullname, sourcedir):
"""
/Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg
-->
deeper2_deepest_OCT_20000112_000004.jpg
/Gilles/Dev/journal/tests/subdir/deeper2/deepest
-->
deeper2_deepest
"""
x = os.path.relpath(media_fullname, sourcedir)
x = x.replace('\\', '_').replace('/', '_').replace('#', '_')
return x
<|reserved_special_token_0|>
def make_posts_from_diary(args):
md_filename = os.path.join(args.root, 'index.md')
if os.path.exists(md_filename):
title, posts = parse_markdown(md_filename)
else:
error('File not found', md_filename)
for post in posts:
for media in post.medias:
media_fullname = os.path.join(args.root, media.uri)
item = create_item(args, media_fullname, args.root, args.
thumbdir, 'post', 400)
media.thumb = item.thumb
media.thumbsize = item.thumbsize
media.descr = item.descr
return title, posts
<|reserved_special_token_0|>
def make_posts_from_subdir(args, dirname):
if args.bydir is False:
medias_ext = list_of_medias(args, dirname, args.recursive)
else:
medias_ext = list_of_medias_ext(args, dirname)
postmedias = list()
for item in medias_ext:
postmedia = create_item(args, item, args.sourcedir, args.thumbdir,
'dcim', 300)
if postmedia is not None:
postmedias.append(postmedia)
post = Post(date='00000000', text='', medias=[])
post.dcim = postmedias
posts = [post]
title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.
sourcedir)[0]
return title, posts
<|reserved_special_token_0|>
def create_gallery(args):
title, posts = make_posts(args, args.sourcedir)
print_html(args, posts, title, os.path.join(args.dest, args.rootname),
'regular')
purge_htmlfiles(args, posts)
if args.diary and not args.sourcedir:
purge_thumbnails(args, args.thumbdir, posts, diary=True)
else:
purge_thumbnails(args, args.thumbdir, posts)
def create_diary(args):
medias = list_of_medias(args, args.sourcedir, args.recursive)
if args.dates == 'diary':
assert 0
else:
required_dates = {date_from_item(media) for media in medias}
if type(args.dates) == tuple:
date1, date2 = args.dates
required_dates = {date for date in required_dates if date1 <=
date <= date2}
title = args.sourcedir
posts = list()
for date in sorted(required_dates):
posts.append(Post.from_date(date))
os.makedirs(args.root, exist_ok=True)
print_markdown(posts, title, os.path.join(args.root, 'index.md'))
<|reserved_special_token_0|>
def compare_image_buffers(imgbuf1, imgbuf2):
"""
return True if images read on file are identical, False otherwise
"""
with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:
img1 = Image.open(imgio1)
img2 = Image.open(imgio2)
diff = ImageChops.difference(img1, img2)
return not diff.getbbox()
def check_images(args, posts, online_images):
result = True
for post in posts:
for media in post.medias:
if type(media) is PostImage:
if media.basename in online_images:
with open(os.path.join(args.root, media.uri), 'rb') as f:
imgbuf1 = f.read()
try:
with urlopen(online_images[media.basename][0]) as u:
imgbuf2 = u.read()
except FileNotFoundError:
print('File not found', online_images[media.
basename][0])
next
if compare_image_buffers(imgbuf1, imgbuf2) is False:
print('Files are different, upload', media.basename)
elif 1:
print('File already online', media.basename)
else:
print('File is absent, upload', media.basename)
result = False
elif type(media) is PostVideo:
print('Video not checked', media.basename)
else:
assert False
return result
<|reserved_special_token_0|>
def idempotence(args):
"""
For testing identity between a diary file and the fle obtained after reading
and printing it. See testing.
"""
title, posts = parse_markdown(os.path.join(args.root, 'index.md'))
print_markdown(posts, title, os.path.join(args.dest, 'index.md'))
<|reserved_special_token_0|>
class MyConfigParser(ConfigParser):
"""Add input checking."""
def __init__(self):
ConfigParser.__init__(self, inline_comment_prefixes=(';',))
def error(self, section, entry):
error('Missing or incorrect config value:', '[%s]%s' % (section, entry)
)
def getint(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getint(self, section, entry)
else:
return ConfigParser.getint(self, section, entry, raw=True,
vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def getboolean(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getboolean(self, section, entry)
else:
return ConfigParser.getboolean(self, section, entry, raw=
True, vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def configfilename(params):
return os.path.join(params.root, '.config.ini')
def createconfig(config_filename):
with open(config_filename, 'wt') as f:
f.writelines(CONFIG_DEFAULTS)
def read_config(params):
config_filename = configfilename(params)
try:
if not os.path.exists(config_filename) or params.resetcfg:
createconfig(config_filename)
except:
error('Error creating configuration file')
try:
getconfig(params, config_filename)
except Exception as e:
error('Error reading configuration file.', str(e), 'Use --resetcfg')
<|reserved_special_token_0|>
def setconfig_cmd(args):
config_filename = configfilename(args)
setconfig(config_filename, *args.setcfg)
def update_config(args):
updates = ('sourcedir', args.sourcedir), ('bydir', BOOL[args.bydir]), (
'bydate', BOOL[args.bydate]), ('diary', BOOL[args.diary]), ('recursive'
, BOOL[args.recursive]), ('dates', args.dates), ('github_pages',
BOOL[args.github_pages])
cfgname = configfilename(args)
with open(cfgname) as f:
cfglines = [_.strip() for _ in f.readlines()]
for key, value in updates:
for iline, line in enumerate(cfglines):
if line.startswith(key):
cfglines[iline] = f'{key} = {value}'
break
with open(cfgname, 'wt') as f:
for line in cfglines:
print(line, file=f)
def warning(*msg):
print(colorama.Fore.YELLOW + colorama.Style.BRIGHT + ' '.join(msg),
colorama.Style.RESET_ALL)
<|reserved_special_token_0|>
def errorcode(msg):
return ERRORS.splitlines().index(msg) + 1
def error(*msg):
print(colorama.Fore.RED + colorama.Style.BRIGHT + ' '.join(msg),
colorama.Style.RESET_ALL)
sys.exit(errorcode(msg[0]))
<|reserved_special_token_0|>
def setup_part1(args):
"""
Made before reading config file (config file located in args.root).
Check and normalize root path.
"""
args.rootarg = args.root
rootext = os.path.splitext(args.rootarg)[1]
if rootext == '':
pass
else:
args.root = os.path.dirname(args.root)
if args.root:
args.root = os.path.abspath(args.root)
if not os.path.isdir(args.root):
if args.gallery:
os.mkdir(args.root)
else:
error('Directory not found', args.root)
def setup_part2(args):
"""
Made after reading config file.
Check for ffmpeg in path.
Create .thumbnails dir if necessary and create .nomedia in it.
Copy photobox file to destination dir.
Handle priority between command line and config file.
"""
if args.update:
args.sourcedir = args.source.sourcedir
args.bydir = args.source.bydir
args.bydate = args.source.bydate
args.diary = args.source.diary
args.recursive = args.source.recursive
args.dates = args.source.dates
args.github_pages = args.source.github_pages
elif args.gallery:
args.source.sourcedir = args.sourcedir
args.source.bydir = args.bydir
args.source.bydate = args.bydate
args.source.diary = args.diary
args.source.recursive = args.recursive
args.source.dates = args.dates
args.source.github_pages = args.github_pages
update_config(args)
if args.github_pages:
args.html_suffix = '.html'
else:
args.html_suffix = '.htm'
rootext = os.path.splitext(args.rootarg)[1]
if rootext:
args.rootname = os.path.basename(args.rootarg)
else:
args.rootname = 'index' + args.html_suffix
if args.sourcedir:
args.sourcedir = os.path.abspath(args.sourcedir)
if os.path.splitdrive(args.sourcedir)[0]:
drive, rest = os.path.splitdrive(args.sourcedir)
args.sourcedir = drive.upper() + rest
if not os.path.isdir(args.sourcedir):
error('Directory not found', args.sourcedir)
elif args.gallery and args.diary is False and args.update is None:
error('Directory not found', 'Use --sourcedir')
if args.dest:
args.dest = os.path.abspath(args.dest)
if args.dest is None:
args.dest = args.root
if args.blogger and args.urlblogger is None:
error('No blogger url (--url)')
if args.gallery or args.update:
for exe in ('ffmpeg', 'ffprobe'):
try:
check_output([exe, '-version'])
except FileNotFoundError:
error('File not found', exe)
if args.github_pages:
args.thumbrep = 'thumbnails'
else:
args.thumbrep = '.thumbnails'
args.thumbdir = os.path.join(args.dest, args.thumbrep)
if not os.path.exists(args.thumbdir):
os.mkdir(args.thumbdir)
open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()
favicondst = os.path.join(args.dest, 'favicon.ico')
if not os.path.isfile(favicondst):
faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')
shutil.copyfile(faviconsrc, favicondst)
photoboxdir = os.path.join(args.dest, 'photobox')
if not os.path.exists(photoboxdir):
photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')
shutil.copytree(photoboxsrc, photoboxdir)
if args.dates:
if not (args.gallery or args.create):
pass
if args.dates == 'source':
pass
elif args.dates == 'diary':
if args.create:
error('Incorrect date format', args.dates)
elif re.match('\\d+-\\d+', args.dates):
date1, date2 = args.dates.split('-')
if validate_date(date1) and validate_date(date2):
args.dates = date1, date2
else:
error('Incorrect date format', args.dates)
else:
error('Incorrect date format', args.dates)
def main(argstring=None):
colorama.init()
args = parse_command_line(argstring)
setup_part1(args)
read_config(args)
setup_part2(args)
try:
if args.gallery or args.update:
create_gallery(args)
elif args.create:
create_diary(args)
elif args.blogger:
prepare_for_blogger(args)
elif args.idem:
idempotence(args)
elif args.setcfg:
setconfig_cmd(args)
except KeyboardInterrupt:
warning('Interrupted by user.')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Post:
def __init__(self, date, text, medias):
self.date = date
self.text = text
self.medias = medias
self.dcim = []
self.daterank = 0
self.extra = False
def __lt__(self, other):
return self.date < other.date
@classmethod
def from_markdown(cls, post):
m = re.match('\\[(\\d\\d\\d\\d/\\d\\d/\\d\\d)\\]\\n*', post[0])
if m:
date = m.group(1).replace('/', '')
if not validate_date(date):
error('Incorrect date value:', date)
del post[0]
else:
error('No date in post', ' '.join(post))
while post and not post[0].strip():
del post[0]
text = ''
while post and not re.match('!?\\[\\]', post[0]):
text += post[0]
del post[0]
text = re.sub('\\n\\n$', '\n', text)
medias = list()
while post and (match := re.match('!?\\[\\]\\((.*)\\)', post[0])):
media = match.group(1)
caption = None
del post[0]
if post and not re.match('!?\\[\\]', post[0]):
caption = post[0].strip()
del post[0]
if match.group(0)[0] == '!':
medias.append(PostImage(caption, media))
else:
medias.append(PostVideo(caption, media))
return cls(date, text, medias)
@classmethod
def from_date(cls, date):
dt = datetime.datetime.strptime(date, '%Y%m%d')
datetext = dt.strftime('%A %d %B %Y').capitalize()
post = cls(date, text=datetext, medias=[])
post.daterank = 1
return post
def to_html(self, args, target='regular'):
if target == 'regular':
if args.diary:
return self.to_html_diary(args)
else:
return self.to_html_regular(args)
if target == 'blogger':
return self.to_html_blogger()
def to_html_regular(self, args):
html = list()
if self.text:
html.append(markdown.markdown(self.text))
subdirs, dcim = dispatch_post_items(self.dcim)
if self.dcim:
html.append(SEP)
for media in subdirs:
html.append(media.to_html_dcim(args))
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
return html
def to_html_diary(self, args):
html = list()
if self.extra:
html.append('<div class="extra">')
if self.text:
html.append(markdown.markdown(self.text))
if self.medias:
html.append(f'<div id="gallery-blog-{self.date}-{self.daterank}">')
for media in self.medias:
html.append(media.to_html_post(args))
html.append('</div>')
_, dcim = dispatch_post_items(self.dcim)
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
html.append(SEP)
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
if self.extra:
html.append('</div>')
return html
def to_html_blogger(self):
html = list()
html.append(markdown.markdown(self.text))
for image in self.medias:
html.append(image.to_html_blogger())
html.append(SEP)
return html
class PostItem:
def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):
self.caption = caption
self.uri = uri
self.basename = os.path.basename(uri)
self.thumb = thumb
self.thumbsize = thumbsize
self.descr = descr
self.resized_url = None
class PostImage(PostItem):
def to_markdown(self):
if not self.caption:
return '' % (self.uri,)
else:
return '\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,
descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *
self.thumbsize, descr)
def to_html_blogger(self):
if not self.caption:
return BIMGPAT % (self.uri, self.resized_url)
else:
return f'{BIMGPAT}\n{CAPTION_PAT}' % (self.uri, self.
resized_url, self.caption)
class PostVideo(PostItem):
def to_markdown(self):
if not self.caption:
return '[](%s)' % (self.uri,)
else:
return '[](%s)\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,
descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *
self.thumbsize, descr)
def to_html_blogger(self):
x = f'<p style="text-align: center;">{self.iframe}</p>'
if not self.caption:
return x
else:
return f'%s\n{CAPTION_PAT}' % (x, self.caption)
class PostSubdir(PostItem):
def to_html_dcim(self, args):
basename = os.path.basename(self.htmname)
posts = self.posts
title = self.caption
print_html(args, posts, title, self.htmname)
if not self.caption:
return DIRPOST % (basename, self.thumb, *self.thumbsize)
else:
return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize,
self.caption)
<|reserved_special_token_0|>
def parse_markdown(filename):
"""
Generate Post objects from markdown. Date must be present in each post and
posts must be ordrered by date.
"""
if not os.path.exists(filename):
error('File not found', filename)
posts = list()
with open(filename, encoding='utf-8') as f:
line = next(f)
if line.startswith('# '):
title = line[2:].strip()
record = []
next(f)
else:
title = None
record = [line]
for line in f:
if not line.startswith('___'):
record.append(line)
else:
posts.append(Post.from_markdown(record))
record = []
daterank = defaultdict(int)
for post in posts:
daterank[post.date] += 1
post.daterank = daterank[post.date]
for post1, post2 in zip(posts[:-1], posts[1:]):
if post1.date > post2.date:
error('Posts are not ordered', f'{post1.date} > {post2.date}')
return title, posts
def print_markdown(posts, title, fullname):
with open(fullname, 'wt', encoding='utf-8') as fdst:
print(f'# {title}\n', file=fdst)
for post in posts:
date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'
print(date, file=fdst)
if post.text:
print(file=fdst)
for line in post.text.splitlines():
if not line:
print(file=fdst)
else:
for chunk in textwrap.wrap(line, width=78):
print(chunk, file=fdst)
if post.medias:
print(file=fdst)
for media in post.medias:
print(media.to_markdown(), file=fdst)
print('______', file=fdst)
<|reserved_special_token_0|>
def print_html(args, posts, title, html_name, target='regular'):
assert target in ('regular', 'blogger')
with io.StringIO() as f:
print_html_to_stream(args, posts, title, f, target)
html = f.getvalue()
if html_name:
if os.path.exists(html_name):
with open(html_name, 'rt', encoding='utf-8') as f:
html0 = f.read()
if html == html0:
return None
with open(html_name, 'wt', encoding='utf-8') as f:
f.write(html)
return None
else:
return html
<|reserved_special_token_0|>
def is_image_file(name):
return os.path.splitext(name)[1].lower() in ('.jpg', '.jpeg', '.png',
'.gif', '.bmp', '.webp', '.tif')
<|reserved_special_token_0|>
def is_media(name):
return is_image_file(name) or is_video_file(name)
<|reserved_special_token_0|>
def date_from_name(name):
if (match := re.search('(?:\\D|^)(\\d{8})(?:\\D|$)', name, re.ASCII)):
digits = match.group(1)
if validate_date(digits):
return digits
return None
def date_from_item(filename):
if (date := date_from_name(filename)):
return date
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')
def time_from_name(name):
if (match := re.search('(?:\\D|^)(\\d{8})\\D(\\d{6})(?:\\D|$)', name,
re.ASCII)):
digits = match.group(2)
hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits
[4:6])
if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:
return digits
return None
def time_from_item(filename):
if (time := time_from_name(filename)):
return time
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')
<|reserved_special_token_0|>
def get_image_info(filename):
date = date_from_item(filename)
time = time_from_item(filename)
img = Image.open(filename)
width, height = img.size
size = round(os.path.getsize(filename) / 1000000.0, 1)
return (date, time, width, height, size
), f'{date} {time}, dim={width}x{height}, {size} MB'
def get_video_info(filename, info_fullname):
if os.path.exists(info_fullname):
with open(info_fullname) as f:
info = f.readline().split()
date, time, width, height, size, duration, fps = info[0], info[1], int(
info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6]
)
formatted_info = format_video_info(date, time, width, height, size,
duration, fps)
return (date, time, width, height, size, duration, fps), formatted_info
else:
info, formatted_info = make_video_info(filename, info_fullname)
with open(info_fullname, 'wt') as f:
print(' '.join([str(_) for _ in info]), file=f)
return info, formatted_info
def make_video_info(filename, info_fullname):
date = date_from_item(filename)
time = time_from_item(filename)
command = [*FFPROBE_CMD.split(), filename]
try:
output = check_output(command, stderr=STDOUT).decode()
width, height, fps, duration = parse_ffprobe_output(output)
size = round(os.path.getsize(filename) / 1000000.0, 1)
output = format_video_info(date, time, width, height, size,
duration, fps)
except CalledProcessError as e:
output = e.output.decode()
warning(output)
raise
return (date, time, width, height, size, duration, fps), output
def parse_ffprobe_output(ffprobe_output):
match = re.match(
'(\\d+),(\\d+),(\\d+)/(\\d+),(\\d+/\\d+).*\\s(\\d+\\.\\d+)',
ffprobe_output, re.DOTALL)
width = int(match.group(1))
height = int(match.group(2))
fps = round(int(match.group(3)) / int(match.group(4)), 1)
duration = round(float(match.group(6)))
return width, height, fps, duration
def format_video_info(date, time, width, height, size, duration, fps):
return (
f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'
)
<|reserved_special_token_0|>
def thumbname(name, key):
return key + '-' + name + '.jpg'
def size_thumbnail(width, height, maxdim):
if width >= height:
return maxdim, int(round(maxdim * height / width))
else:
return int(round(maxdim * width / height)), maxdim
def make_thumbnail_image(args, image_name, thumb_name, size):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_image(image_name, thumb_name, size)
def create_thumbnail_image(image_name, thumb_name, size):
imgobj = Image.open(image_name)
if imgobj.mode != 'RGBA' and image_name.endswith('.jpg') and not (
image_name.endswith('.gif') and imgobj.info.get('transparency')):
imgobj = imgobj.convert('RGBA')
imgobj.thumbnail(size, Image.LANCZOS)
imgobj = imgobj.convert('RGB')
imgobj.save(thumb_name)
def make_thumbnail_video(args, video_name, thumb_name, size, duration):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_video(args, video_name, thumb_name, size, duration)
<|reserved_special_token_0|>
def create_thumbnail_video(args, filename, thumbname, size, duration):
delay = min(duration - 1, args.thumbnails.thumbdelay)
sizearg = '%dx%d' % size
command = (
'ffmpeg -y -v error -itsoffset -%d -i "%s" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s "%s"'
)
command = command % (delay, filename, sizearg, thumbname)
result = os.system(command)
try:
img1 = Image.open(thumbname)
except:
warning('Unable to save thumbnail for', filename)
return
img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))
width, height = img1.size
img1.paste(img2, (6, height - 20 - 6), None)
img1.save(thumbname)
<|reserved_special_token_0|>
def create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):
def size_thumbnail(width, height, xmax, ymax):
width2 = xmax
height2 = int(round(xmax * height / width))
if height2 < ymax:
width2 = int(round(ymax * width / height))
height2 = ymax
return width2, height2
thumblist = [os.path.basename(item.thumb) for item in items]
widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size
, thumblist)
thumbnum = widthnum * heightnum
img = Image.new('RGB', size, SUBDIR_BACKCOL)
for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):
row = ind // widthnum
col = ind % widthnum
img2 = Image.open(os.path.join(thumbdir, thumb))
w, h = size_thumbnail(*img2.size, width[col], height[row])
cropdim = (w - width[col]) // 2, (h - height[row]) // 2, (w - width
[col]) // 2 + width[col], (h - height[row]) // 2 + height[row]
img2 = img2.resize((w, h), Image.LANCZOS)
img2 = img2.crop(cropdim)
img.paste(img2, (offsetx[col], offsety[row]))
if os.path.exists(thumb_name):
imgref = Image.open(thumb_name)
byteio = io.BytesIO()
img.save(byteio, 'JPEG')
byteio.seek(0)
imgnew = Image.open(byteio)
diff = ImageChops.difference(imgnew, imgref)
if diff.getbbox() is None:
return
img.save(thumb_name)
def mosaic_geometry(size, thumblist):
if len(thumblist) == 1:
widthnum = 1
heightnum = 1
elif len(thumblist) <= 3:
widthnum = 1
heightnum = 2
elif len(thumblist) <= 8:
widthnum = 2
heightnum = 2
else:
widthnum = 3
heightnum = 3
if widthnum == 1:
width = [size[0] - 2]
else:
width = [size[0] // widthnum - 2] * (widthnum - 1)
width.append(size[0] - (1 + sum(width) + 2 * len(width) + 1))
if heightnum == 1:
height = [size[1] - 2]
else:
height = [size[1] // heightnum - 2] * (heightnum - 1)
height.append(size[1] - (1 + sum(height) + 2 * len(height) + 1))
offsetx = [1]
for w in width[:-1]:
offsetx.append(offsetx[-1] + w + 2)
offsety = [1]
for h in height[:-1]:
offsety.append(offsety[-1] + h + 2)
return widthnum, heightnum, width, height, offsetx, offsety
<|reserved_special_token_0|>
def list_of_htmlfiles_in_items(itemlist):
htmlist = list()
for item in itemlist:
if type(item) == PostSubdir:
htmlist.append(item.htmname)
htmlist.extend(list_of_htmlfiles_in_items(item.sublist))
return htmlist
def list_of_thumbnails(posts, diary=False):
thumblist = list()
for post in posts:
thumblist.extend(list_of_thumbnails_in_items(post.medias))
if diary is False:
thumblist.extend(list_of_thumbnails_in_items(post.dcim))
return thumblist
def list_of_thumbnails_in_items(itemlist):
thumblist = list()
for item in itemlist:
if type(item) == PostSubdir:
thumblist.append(os.path.basename(item.thumb))
thumblist.extend(list_of_thumbnails_in_items(item.sublist))
else:
thumblist.append(os.path.basename(item.thumb))
return thumblist
def purge_htmlfiles(args, posts):
"""
Purge root dir from irrelevant html files
"""
htmlist = list_of_htmlfiles(args, posts)
html_to_remove = list()
for fullname in glob.glob(os.path.join(args.root, '*.htm*')):
if fullname not in htmlist:
html_to_remove.append(fullname)
if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:
inpt = 'x'
while inpt not in 'yn':
inpt = input(
f'{len(html_to_remove)} html files to remove. Continue [y|n]? '
).lower()
if inpt == 'n':
return
for name in html_to_remove:
print('Removing html files', name)
os.remove(name)
def purge_thumbnails(args, thumbdir, posts, diary=False):
"""
Purge thumbnail dir from irrelevant thumbnails
"""
thumblist = list_of_thumbnails(posts, diary)
thumbs_to_remove = list()
for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):
if os.path.basename(fullname) not in thumblist:
thumbs_to_remove.append(fullname)
if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:
inpt = 'x'
while inpt not in 'yn':
inpt = input(
f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? '
).lower()
if inpt == 'n':
return
for name in thumbs_to_remove:
print('Removing thumbnail', name)
os.remove(name)
info_fullname = os.path.splitext(name)[0] + '.info'
if os.path.exists(info_fullname):
os.remove(info_fullname)
def is_media_within_dates(fullname, dates):
if is_media(fullname):
if type(dates) == tuple:
return dates[0] <= date_from_item(fullname) <= dates[1]
else:
return True
else:
return False
def sorted_listdir(filelist):
like_windows_explorer = True
if not filelist:
return filelist
if like_windows_explorer:
maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)
def keyfunc(name):
root, ext = os.path.splitext(name.lower())
return root.ljust(maxlen, ' ') + ext
else:
keyfunc = str.lower
return sorted(filelist, key=keyfunc)
<|reserved_special_token_0|>
def list_of_medias(args, sourcedir, recursive):
"""
Return the list of full paths for pictures and movies in source directory
"""
files = list_of_files(sourcedir, recursive)
return [_ for _ in files if is_media_within_dates(_, args.dates)]
<|reserved_special_token_0|>
def dispatch_post_items(list_of_post_items):
subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]
medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]
return subdirs, medias
def create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):
if os.path.isfile(media_fullname):
if is_image_file(media_fullname):
return create_item_image(args, media_fullname, sourcedir,
thumbdir, key, thumbmax)
else:
return create_item_video(args, media_fullname, sourcedir,
thumbdir, key, thumbmax)
else:
return create_item_subdir(args, media_fullname, sourcedir, thumbdir,
key, thumbmax)
def create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax
):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
try:
info, infofmt = get_image_info(media_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)
return PostImage(None, media_fullname, '/'.join((args.thumbrep,
thumb_basename)), thumbsize, infofmt)
except PIL.UnidentifiedImageError:
warning('Unable to read image', media_fullname)
return None
def create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax
):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'
try:
info, infofmt = get_video_info(media_fullname, info_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_video(args, media_fullname, thumb_fullname,
thumbsize, duration=info[5])
return PostVideo(None, media_fullname, '/'.join((args.thumbrep,
thumb_basename)), thumbsize, infofmt)
except CalledProcessError:
warning('Unable to read video', media_fullname)
return None
<|reserved_special_token_0|>
def relative_name(media_fullname, sourcedir):
"""
/Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg
-->
deeper2_deepest_OCT_20000112_000004.jpg
/Gilles/Dev/journal/tests/subdir/deeper2/deepest
-->
deeper2_deepest
"""
x = os.path.relpath(media_fullname, sourcedir)
x = x.replace('\\', '_').replace('/', '_').replace('#', '_')
return x
<|reserved_special_token_0|>
def make_posts_from_diary(args):
md_filename = os.path.join(args.root, 'index.md')
if os.path.exists(md_filename):
title, posts = parse_markdown(md_filename)
else:
error('File not found', md_filename)
for post in posts:
for media in post.medias:
media_fullname = os.path.join(args.root, media.uri)
item = create_item(args, media_fullname, args.root, args.
thumbdir, 'post', 400)
media.thumb = item.thumb
media.thumbsize = item.thumbsize
media.descr = item.descr
return title, posts
<|reserved_special_token_0|>
def make_posts_from_subdir(args, dirname):
if args.bydir is False:
medias_ext = list_of_medias(args, dirname, args.recursive)
else:
medias_ext = list_of_medias_ext(args, dirname)
postmedias = list()
for item in medias_ext:
postmedia = create_item(args, item, args.sourcedir, args.thumbdir,
'dcim', 300)
if postmedia is not None:
postmedias.append(postmedia)
post = Post(date='00000000', text='', medias=[])
post.dcim = postmedias
posts = [post]
title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.
sourcedir)[0]
return title, posts
<|reserved_special_token_0|>
def create_gallery(args):
title, posts = make_posts(args, args.sourcedir)
print_html(args, posts, title, os.path.join(args.dest, args.rootname),
'regular')
purge_htmlfiles(args, posts)
if args.diary and not args.sourcedir:
purge_thumbnails(args, args.thumbdir, posts, diary=True)
else:
purge_thumbnails(args, args.thumbdir, posts)
def create_diary(args):
medias = list_of_medias(args, args.sourcedir, args.recursive)
if args.dates == 'diary':
assert 0
else:
required_dates = {date_from_item(media) for media in medias}
if type(args.dates) == tuple:
date1, date2 = args.dates
required_dates = {date for date in required_dates if date1 <=
date <= date2}
title = args.sourcedir
posts = list()
for date in sorted(required_dates):
posts.append(Post.from_date(date))
os.makedirs(args.root, exist_ok=True)
print_markdown(posts, title, os.path.join(args.root, 'index.md'))
<|reserved_special_token_0|>
def compare_image_buffers(imgbuf1, imgbuf2):
"""
return True if images read on file are identical, False otherwise
"""
with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:
img1 = Image.open(imgio1)
img2 = Image.open(imgio2)
diff = ImageChops.difference(img1, img2)
return not diff.getbbox()
def check_images(args, posts, online_images):
result = True
for post in posts:
for media in post.medias:
if type(media) is PostImage:
if media.basename in online_images:
with open(os.path.join(args.root, media.uri), 'rb') as f:
imgbuf1 = f.read()
try:
with urlopen(online_images[media.basename][0]) as u:
imgbuf2 = u.read()
except FileNotFoundError:
print('File not found', online_images[media.
basename][0])
next
if compare_image_buffers(imgbuf1, imgbuf2) is False:
print('Files are different, upload', media.basename)
elif 1:
print('File already online', media.basename)
else:
print('File is absent, upload', media.basename)
result = False
elif type(media) is PostVideo:
print('Video not checked', media.basename)
else:
assert False
return result
def compose_blogger_html(args, title, posts, imgdata, online_videos):
""" Compose html with blogger image urls
"""
for post in posts:
for media in post.medias:
if type(media) is PostImage:
if media.uri not in imgdata:
print('Image missing: ', media.uri)
else:
img_url, resized_url = imgdata[media.uri]
media.uri = img_url
media.resized_url = resized_url
elif type(media) is PostVideo:
if not online_videos:
print('Video missing: ', media.uri)
else:
media.iframe = online_videos[0]
del online_videos[0]
else:
assert False
return print_html(args, posts, title, '', target='blogger')
def prepare_for_blogger(args):
"""
Export blogger html to clipboard.
If --full, export complete html, otherwise export html extract ready to
paste into blogger edit mode.
"""
title, posts = parse_markdown(os.path.join(args.root, 'index.md'))
online_images, online_videos = online_images_url(args)
if args.check_images and check_images(args, posts, online_images) is False:
pass
html = compose_blogger_html(args, title, posts, online_images,
online_videos)
if args.full is False:
html = re.search('<body>(.*)?</body>', html, flags=re.DOTALL).group(1)
html = re.sub('<script>.*?</script>', '', html, flags=re.DOTALL)
html = STYLE.replace('%%', '%') + html
if args.dest:
with open(args.dest, 'wt', encoding='utf-8') as f:
f.write(html)
else:
clipboard.copy(html)
def idempotence(args):
"""
For testing identity between a diary file and the fle obtained after reading
and printing it. See testing.
"""
title, posts = parse_markdown(os.path.join(args.root, 'index.md'))
print_markdown(posts, title, os.path.join(args.dest, 'index.md'))
<|reserved_special_token_0|>
class MyConfigParser(ConfigParser):
"""Add input checking."""
def __init__(self):
ConfigParser.__init__(self, inline_comment_prefixes=(';',))
def error(self, section, entry):
error('Missing or incorrect config value:', '[%s]%s' % (section, entry)
)
def getint(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getint(self, section, entry)
else:
return ConfigParser.getint(self, section, entry, raw=True,
vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def getboolean(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getboolean(self, section, entry)
else:
return ConfigParser.getboolean(self, section, entry, raw=
True, vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def configfilename(params):
return os.path.join(params.root, '.config.ini')
def createconfig(config_filename):
with open(config_filename, 'wt') as f:
f.writelines(CONFIG_DEFAULTS)
def read_config(params):
config_filename = configfilename(params)
try:
if not os.path.exists(config_filename) or params.resetcfg:
createconfig(config_filename)
except:
error('Error creating configuration file')
try:
getconfig(params, config_filename)
except Exception as e:
error('Error reading configuration file.', str(e), 'Use --resetcfg')
<|reserved_special_token_0|>
def setconfig_cmd(args):
config_filename = configfilename(args)
setconfig(config_filename, *args.setcfg)
def update_config(args):
updates = ('sourcedir', args.sourcedir), ('bydir', BOOL[args.bydir]), (
'bydate', BOOL[args.bydate]), ('diary', BOOL[args.diary]), ('recursive'
, BOOL[args.recursive]), ('dates', args.dates), ('github_pages',
BOOL[args.github_pages])
cfgname = configfilename(args)
with open(cfgname) as f:
cfglines = [_.strip() for _ in f.readlines()]
for key, value in updates:
for iline, line in enumerate(cfglines):
if line.startswith(key):
cfglines[iline] = f'{key} = {value}'
break
with open(cfgname, 'wt') as f:
for line in cfglines:
print(line, file=f)
def warning(*msg):
print(colorama.Fore.YELLOW + colorama.Style.BRIGHT + ' '.join(msg),
colorama.Style.RESET_ALL)
<|reserved_special_token_0|>
def errorcode(msg):
return ERRORS.splitlines().index(msg) + 1
def error(*msg):
print(colorama.Fore.RED + colorama.Style.BRIGHT + ' '.join(msg),
colorama.Style.RESET_ALL)
sys.exit(errorcode(msg[0]))
<|reserved_special_token_0|>
def setup_part1(args):
"""
Made before reading config file (config file located in args.root).
Check and normalize root path.
"""
args.rootarg = args.root
rootext = os.path.splitext(args.rootarg)[1]
if rootext == '':
pass
else:
args.root = os.path.dirname(args.root)
if args.root:
args.root = os.path.abspath(args.root)
if not os.path.isdir(args.root):
if args.gallery:
os.mkdir(args.root)
else:
error('Directory not found', args.root)
def setup_part2(args):
"""
Made after reading config file.
Check for ffmpeg in path.
Create .thumbnails dir if necessary and create .nomedia in it.
Copy photobox file to destination dir.
Handle priority between command line and config file.
"""
if args.update:
args.sourcedir = args.source.sourcedir
args.bydir = args.source.bydir
args.bydate = args.source.bydate
args.diary = args.source.diary
args.recursive = args.source.recursive
args.dates = args.source.dates
args.github_pages = args.source.github_pages
elif args.gallery:
args.source.sourcedir = args.sourcedir
args.source.bydir = args.bydir
args.source.bydate = args.bydate
args.source.diary = args.diary
args.source.recursive = args.recursive
args.source.dates = args.dates
args.source.github_pages = args.github_pages
update_config(args)
if args.github_pages:
args.html_suffix = '.html'
else:
args.html_suffix = '.htm'
rootext = os.path.splitext(args.rootarg)[1]
if rootext:
args.rootname = os.path.basename(args.rootarg)
else:
args.rootname = 'index' + args.html_suffix
if args.sourcedir:
args.sourcedir = os.path.abspath(args.sourcedir)
if os.path.splitdrive(args.sourcedir)[0]:
drive, rest = os.path.splitdrive(args.sourcedir)
args.sourcedir = drive.upper() + rest
if not os.path.isdir(args.sourcedir):
error('Directory not found', args.sourcedir)
elif args.gallery and args.diary is False and args.update is None:
error('Directory not found', 'Use --sourcedir')
if args.dest:
args.dest = os.path.abspath(args.dest)
if args.dest is None:
args.dest = args.root
if args.blogger and args.urlblogger is None:
error('No blogger url (--url)')
if args.gallery or args.update:
for exe in ('ffmpeg', 'ffprobe'):
try:
check_output([exe, '-version'])
except FileNotFoundError:
error('File not found', exe)
if args.github_pages:
args.thumbrep = 'thumbnails'
else:
args.thumbrep = '.thumbnails'
args.thumbdir = os.path.join(args.dest, args.thumbrep)
if not os.path.exists(args.thumbdir):
os.mkdir(args.thumbdir)
open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()
favicondst = os.path.join(args.dest, 'favicon.ico')
if not os.path.isfile(favicondst):
faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')
shutil.copyfile(faviconsrc, favicondst)
photoboxdir = os.path.join(args.dest, 'photobox')
if not os.path.exists(photoboxdir):
photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')
shutil.copytree(photoboxsrc, photoboxdir)
if args.dates:
if not (args.gallery or args.create):
pass
if args.dates == 'source':
pass
elif args.dates == 'diary':
if args.create:
error('Incorrect date format', args.dates)
elif re.match('\\d+-\\d+', args.dates):
date1, date2 = args.dates.split('-')
if validate_date(date1) and validate_date(date2):
args.dates = date1, date2
else:
error('Incorrect date format', args.dates)
else:
error('Incorrect date format', args.dates)
def main(argstring=None):
colorama.init()
args = parse_command_line(argstring)
setup_part1(args)
read_config(args)
setup_part2(args)
try:
if args.gallery or args.update:
create_gallery(args)
elif args.create:
create_diary(args)
elif args.blogger:
prepare_for_blogger(args)
elif args.idem:
idempotence(args)
elif args.setcfg:
setconfig_cmd(args)
except KeyboardInterrupt:
warning('Interrupted by user.')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Post:
def __init__(self, date, text, medias):
self.date = date
self.text = text
self.medias = medias
self.dcim = []
self.daterank = 0
self.extra = False
def __lt__(self, other):
return self.date < other.date
@classmethod
def from_markdown(cls, post):
m = re.match('\\[(\\d\\d\\d\\d/\\d\\d/\\d\\d)\\]\\n*', post[0])
if m:
date = m.group(1).replace('/', '')
if not validate_date(date):
error('Incorrect date value:', date)
del post[0]
else:
error('No date in post', ' '.join(post))
while post and not post[0].strip():
del post[0]
text = ''
while post and not re.match('!?\\[\\]', post[0]):
text += post[0]
del post[0]
text = re.sub('\\n\\n$', '\n', text)
medias = list()
while post and (match := re.match('!?\\[\\]\\((.*)\\)', post[0])):
media = match.group(1)
caption = None
del post[0]
if post and not re.match('!?\\[\\]', post[0]):
caption = post[0].strip()
del post[0]
if match.group(0)[0] == '!':
medias.append(PostImage(caption, media))
else:
medias.append(PostVideo(caption, media))
return cls(date, text, medias)
@classmethod
def from_date(cls, date):
dt = datetime.datetime.strptime(date, '%Y%m%d')
datetext = dt.strftime('%A %d %B %Y').capitalize()
post = cls(date, text=datetext, medias=[])
post.daterank = 1
return post
def to_html(self, args, target='regular'):
if target == 'regular':
if args.diary:
return self.to_html_diary(args)
else:
return self.to_html_regular(args)
if target == 'blogger':
return self.to_html_blogger()
def to_html_regular(self, args):
html = list()
if self.text:
html.append(markdown.markdown(self.text))
subdirs, dcim = dispatch_post_items(self.dcim)
if self.dcim:
html.append(SEP)
for media in subdirs:
html.append(media.to_html_dcim(args))
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
return html
def to_html_diary(self, args):
html = list()
if self.extra:
html.append('<div class="extra">')
if self.text:
html.append(markdown.markdown(self.text))
if self.medias:
html.append(f'<div id="gallery-blog-{self.date}-{self.daterank}">')
for media in self.medias:
html.append(media.to_html_post(args))
html.append('</div>')
_, dcim = dispatch_post_items(self.dcim)
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
html.append(SEP)
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
if self.extra:
html.append('</div>')
return html
def to_html_blogger(self):
html = list()
html.append(markdown.markdown(self.text))
for image in self.medias:
html.append(image.to_html_blogger())
html.append(SEP)
return html
class PostItem:
def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):
self.caption = caption
self.uri = uri
self.basename = os.path.basename(uri)
self.thumb = thumb
self.thumbsize = thumbsize
self.descr = descr
self.resized_url = None
class PostImage(PostItem):
def to_markdown(self):
if not self.caption:
return '' % (self.uri,)
else:
return '\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,
descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *
self.thumbsize, descr)
def to_html_blogger(self):
if not self.caption:
return BIMGPAT % (self.uri, self.resized_url)
else:
return f'{BIMGPAT}\n{CAPTION_PAT}' % (self.uri, self.
resized_url, self.caption)
class PostVideo(PostItem):
def to_markdown(self):
if not self.caption:
return '[](%s)' % (self.uri,)
else:
return '[](%s)\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,
descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *
self.thumbsize, descr)
def to_html_blogger(self):
x = f'<p style="text-align: center;">{self.iframe}</p>'
if not self.caption:
return x
else:
return f'%s\n{CAPTION_PAT}' % (x, self.caption)
class PostSubdir(PostItem):
def to_html_dcim(self, args):
basename = os.path.basename(self.htmname)
posts = self.posts
title = self.caption
print_html(args, posts, title, self.htmname)
if not self.caption:
return DIRPOST % (basename, self.thumb, *self.thumbsize)
else:
return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize,
self.caption)
<|reserved_special_token_0|>
def parse_markdown(filename):
"""
Generate Post objects from markdown. Date must be present in each post and
posts must be ordrered by date.
"""
if not os.path.exists(filename):
error('File not found', filename)
posts = list()
with open(filename, encoding='utf-8') as f:
line = next(f)
if line.startswith('# '):
title = line[2:].strip()
record = []
next(f)
else:
title = None
record = [line]
for line in f:
if not line.startswith('___'):
record.append(line)
else:
posts.append(Post.from_markdown(record))
record = []
daterank = defaultdict(int)
for post in posts:
daterank[post.date] += 1
post.daterank = daterank[post.date]
for post1, post2 in zip(posts[:-1], posts[1:]):
if post1.date > post2.date:
error('Posts are not ordered', f'{post1.date} > {post2.date}')
return title, posts
def print_markdown(posts, title, fullname):
with open(fullname, 'wt', encoding='utf-8') as fdst:
print(f'# {title}\n', file=fdst)
for post in posts:
date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'
print(date, file=fdst)
if post.text:
print(file=fdst)
for line in post.text.splitlines():
if not line:
print(file=fdst)
else:
for chunk in textwrap.wrap(line, width=78):
print(chunk, file=fdst)
if post.medias:
print(file=fdst)
for media in post.medias:
print(media.to_markdown(), file=fdst)
print('______', file=fdst)
<|reserved_special_token_0|>
def print_html(args, posts, title, html_name, target='regular'):
assert target in ('regular', 'blogger')
with io.StringIO() as f:
print_html_to_stream(args, posts, title, f, target)
html = f.getvalue()
if html_name:
if os.path.exists(html_name):
with open(html_name, 'rt', encoding='utf-8') as f:
html0 = f.read()
if html == html0:
return None
with open(html_name, 'wt', encoding='utf-8') as f:
f.write(html)
return None
else:
return html
<|reserved_special_token_0|>
def is_image_file(name):
return os.path.splitext(name)[1].lower() in ('.jpg', '.jpeg', '.png',
'.gif', '.bmp', '.webp', '.tif')
<|reserved_special_token_0|>
def is_media(name):
return is_image_file(name) or is_video_file(name)
<|reserved_special_token_0|>
def date_from_name(name):
if (match := re.search('(?:\\D|^)(\\d{8})(?:\\D|$)', name, re.ASCII)):
digits = match.group(1)
if validate_date(digits):
return digits
return None
def date_from_item(filename):
if (date := date_from_name(filename)):
return date
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')
def time_from_name(name):
if (match := re.search('(?:\\D|^)(\\d{8})\\D(\\d{6})(?:\\D|$)', name,
re.ASCII)):
digits = match.group(2)
hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits
[4:6])
if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:
return digits
return None
def time_from_item(filename):
if (time := time_from_name(filename)):
return time
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')
<|reserved_special_token_0|>
def get_image_info(filename):
date = date_from_item(filename)
time = time_from_item(filename)
img = Image.open(filename)
width, height = img.size
size = round(os.path.getsize(filename) / 1000000.0, 1)
return (date, time, width, height, size
), f'{date} {time}, dim={width}x{height}, {size} MB'
def get_video_info(filename, info_fullname):
if os.path.exists(info_fullname):
with open(info_fullname) as f:
info = f.readline().split()
date, time, width, height, size, duration, fps = info[0], info[1], int(
info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6]
)
formatted_info = format_video_info(date, time, width, height, size,
duration, fps)
return (date, time, width, height, size, duration, fps), formatted_info
else:
info, formatted_info = make_video_info(filename, info_fullname)
with open(info_fullname, 'wt') as f:
print(' '.join([str(_) for _ in info]), file=f)
return info, formatted_info
def make_video_info(filename, info_fullname):
date = date_from_item(filename)
time = time_from_item(filename)
command = [*FFPROBE_CMD.split(), filename]
try:
output = check_output(command, stderr=STDOUT).decode()
width, height, fps, duration = parse_ffprobe_output(output)
size = round(os.path.getsize(filename) / 1000000.0, 1)
output = format_video_info(date, time, width, height, size,
duration, fps)
except CalledProcessError as e:
output = e.output.decode()
warning(output)
raise
return (date, time, width, height, size, duration, fps), output
def parse_ffprobe_output(ffprobe_output):
match = re.match(
'(\\d+),(\\d+),(\\d+)/(\\d+),(\\d+/\\d+).*\\s(\\d+\\.\\d+)',
ffprobe_output, re.DOTALL)
width = int(match.group(1))
height = int(match.group(2))
fps = round(int(match.group(3)) / int(match.group(4)), 1)
duration = round(float(match.group(6)))
return width, height, fps, duration
def format_video_info(date, time, width, height, size, duration, fps):
return (
f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'
)
<|reserved_special_token_0|>
def thumbname(name, key):
return key + '-' + name + '.jpg'
def size_thumbnail(width, height, maxdim):
if width >= height:
return maxdim, int(round(maxdim * height / width))
else:
return int(round(maxdim * width / height)), maxdim
def make_thumbnail_image(args, image_name, thumb_name, size):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_image(image_name, thumb_name, size)
def create_thumbnail_image(image_name, thumb_name, size):
imgobj = Image.open(image_name)
if imgobj.mode != 'RGBA' and image_name.endswith('.jpg') and not (
image_name.endswith('.gif') and imgobj.info.get('transparency')):
imgobj = imgobj.convert('RGBA')
imgobj.thumbnail(size, Image.LANCZOS)
imgobj = imgobj.convert('RGB')
imgobj.save(thumb_name)
def make_thumbnail_video(args, video_name, thumb_name, size, duration):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_video(args, video_name, thumb_name, size, duration)
<|reserved_special_token_0|>
def create_thumbnail_video(args, filename, thumbname, size, duration):
delay = min(duration - 1, args.thumbnails.thumbdelay)
sizearg = '%dx%d' % size
command = (
'ffmpeg -y -v error -itsoffset -%d -i "%s" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s "%s"'
)
command = command % (delay, filename, sizearg, thumbname)
result = os.system(command)
try:
img1 = Image.open(thumbname)
except:
warning('Unable to save thumbnail for', filename)
return
img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))
width, height = img1.size
img1.paste(img2, (6, height - 20 - 6), None)
img1.save(thumbname)
<|reserved_special_token_0|>
def create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):
def size_thumbnail(width, height, xmax, ymax):
width2 = xmax
height2 = int(round(xmax * height / width))
if height2 < ymax:
width2 = int(round(ymax * width / height))
height2 = ymax
return width2, height2
thumblist = [os.path.basename(item.thumb) for item in items]
widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size
, thumblist)
thumbnum = widthnum * heightnum
img = Image.new('RGB', size, SUBDIR_BACKCOL)
for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):
row = ind // widthnum
col = ind % widthnum
img2 = Image.open(os.path.join(thumbdir, thumb))
w, h = size_thumbnail(*img2.size, width[col], height[row])
cropdim = (w - width[col]) // 2, (h - height[row]) // 2, (w - width
[col]) // 2 + width[col], (h - height[row]) // 2 + height[row]
img2 = img2.resize((w, h), Image.LANCZOS)
img2 = img2.crop(cropdim)
img.paste(img2, (offsetx[col], offsety[row]))
if os.path.exists(thumb_name):
imgref = Image.open(thumb_name)
byteio = io.BytesIO()
img.save(byteio, 'JPEG')
byteio.seek(0)
imgnew = Image.open(byteio)
diff = ImageChops.difference(imgnew, imgref)
if diff.getbbox() is None:
return
img.save(thumb_name)
def mosaic_geometry(size, thumblist):
if len(thumblist) == 1:
widthnum = 1
heightnum = 1
elif len(thumblist) <= 3:
widthnum = 1
heightnum = 2
elif len(thumblist) <= 8:
widthnum = 2
heightnum = 2
else:
widthnum = 3
heightnum = 3
if widthnum == 1:
width = [size[0] - 2]
else:
width = [size[0] // widthnum - 2] * (widthnum - 1)
width.append(size[0] - (1 + sum(width) + 2 * len(width) + 1))
if heightnum == 1:
height = [size[1] - 2]
else:
height = [size[1] // heightnum - 2] * (heightnum - 1)
height.append(size[1] - (1 + sum(height) + 2 * len(height) + 1))
offsetx = [1]
for w in width[:-1]:
offsetx.append(offsetx[-1] + w + 2)
offsety = [1]
for h in height[:-1]:
offsety.append(offsety[-1] + h + 2)
return widthnum, heightnum, width, height, offsetx, offsety
<|reserved_special_token_0|>
def list_of_htmlfiles_in_items(itemlist):
htmlist = list()
for item in itemlist:
if type(item) == PostSubdir:
htmlist.append(item.htmname)
htmlist.extend(list_of_htmlfiles_in_items(item.sublist))
return htmlist
def list_of_thumbnails(posts, diary=False):
thumblist = list()
for post in posts:
thumblist.extend(list_of_thumbnails_in_items(post.medias))
if diary is False:
thumblist.extend(list_of_thumbnails_in_items(post.dcim))
return thumblist
def list_of_thumbnails_in_items(itemlist):
thumblist = list()
for item in itemlist:
if type(item) == PostSubdir:
thumblist.append(os.path.basename(item.thumb))
thumblist.extend(list_of_thumbnails_in_items(item.sublist))
else:
thumblist.append(os.path.basename(item.thumb))
return thumblist
def purge_htmlfiles(args, posts):
"""
Purge root dir from irrelevant html files
"""
htmlist = list_of_htmlfiles(args, posts)
html_to_remove = list()
for fullname in glob.glob(os.path.join(args.root, '*.htm*')):
if fullname not in htmlist:
html_to_remove.append(fullname)
if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:
inpt = 'x'
while inpt not in 'yn':
inpt = input(
f'{len(html_to_remove)} html files to remove. Continue [y|n]? '
).lower()
if inpt == 'n':
return
for name in html_to_remove:
print('Removing html files', name)
os.remove(name)
def purge_thumbnails(args, thumbdir, posts, diary=False):
"""
Purge thumbnail dir from irrelevant thumbnails
"""
thumblist = list_of_thumbnails(posts, diary)
thumbs_to_remove = list()
for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):
if os.path.basename(fullname) not in thumblist:
thumbs_to_remove.append(fullname)
if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:
inpt = 'x'
while inpt not in 'yn':
inpt = input(
f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? '
).lower()
if inpt == 'n':
return
for name in thumbs_to_remove:
print('Removing thumbnail', name)
os.remove(name)
info_fullname = os.path.splitext(name)[0] + '.info'
if os.path.exists(info_fullname):
os.remove(info_fullname)
def is_media_within_dates(fullname, dates):
if is_media(fullname):
if type(dates) == tuple:
return dates[0] <= date_from_item(fullname) <= dates[1]
else:
return True
else:
return False
def sorted_listdir(filelist):
like_windows_explorer = True
if not filelist:
return filelist
if like_windows_explorer:
maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)
def keyfunc(name):
root, ext = os.path.splitext(name.lower())
return root.ljust(maxlen, ' ') + ext
else:
keyfunc = str.lower
return sorted(filelist, key=keyfunc)
def list_of_files(sourcedir, recursive):
"""
Return the list of full paths for files in source directory
"""
result = list()
if recursive is False:
listdir = sorted_listdir(os.listdir(sourcedir))
if '.nomedia' not in listdir:
for basename in listdir:
result.append(os.path.join(sourcedir, basename))
else:
for root, dirs, files in os.walk(sourcedir):
if '.nomedia' not in files:
for basename in sorted_listdir(files):
result.append(os.path.join(root, basename))
return result
def list_of_medias(args, sourcedir, recursive):
"""
Return the list of full paths for pictures and movies in source directory
"""
files = list_of_files(sourcedir, recursive)
return [_ for _ in files if is_media_within_dates(_, args.dates)]
<|reserved_special_token_0|>
def dispatch_post_items(list_of_post_items):
subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]
medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]
return subdirs, medias
def create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):
if os.path.isfile(media_fullname):
if is_image_file(media_fullname):
return create_item_image(args, media_fullname, sourcedir,
thumbdir, key, thumbmax)
else:
return create_item_video(args, media_fullname, sourcedir,
thumbdir, key, thumbmax)
else:
return create_item_subdir(args, media_fullname, sourcedir, thumbdir,
key, thumbmax)
def create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax
):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
try:
info, infofmt = get_image_info(media_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)
return PostImage(None, media_fullname, '/'.join((args.thumbrep,
thumb_basename)), thumbsize, infofmt)
except PIL.UnidentifiedImageError:
warning('Unable to read image', media_fullname)
return None
def create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax
):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'
try:
info, infofmt = get_video_info(media_fullname, info_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_video(args, media_fullname, thumb_fullname,
thumbsize, duration=info[5])
return PostVideo(None, media_fullname, '/'.join((args.thumbrep,
thumb_basename)), thumbsize, infofmt)
except CalledProcessError:
warning('Unable to read video', media_fullname)
return None
<|reserved_special_token_0|>
def relative_name(media_fullname, sourcedir):
"""
/Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg
-->
deeper2_deepest_OCT_20000112_000004.jpg
/Gilles/Dev/journal/tests/subdir/deeper2/deepest
-->
deeper2_deepest
"""
x = os.path.relpath(media_fullname, sourcedir)
x = x.replace('\\', '_').replace('/', '_').replace('#', '_')
return x
<|reserved_special_token_0|>
def make_posts_from_diary(args):
md_filename = os.path.join(args.root, 'index.md')
if os.path.exists(md_filename):
title, posts = parse_markdown(md_filename)
else:
error('File not found', md_filename)
for post in posts:
for media in post.medias:
media_fullname = os.path.join(args.root, media.uri)
item = create_item(args, media_fullname, args.root, args.
thumbdir, 'post', 400)
media.thumb = item.thumb
media.thumbsize = item.thumbsize
media.descr = item.descr
return title, posts
def create_items_by_date(args, medias, posts):
if args.dates == 'diary':
required_dates = {post.date for post in posts}
else:
required_dates = {date_from_item(media) for media in medias}
if type(args.dates) == tuple:
date1, date2 = args.dates
required_dates = {date for date in required_dates if date1 <=
date <= date2}
bydate = defaultdict(list)
for media_fullname in medias:
date = date_from_item(media_fullname)
if date in required_dates:
item = create_item(args, media_fullname, args.sourcedir, args.
thumbdir, 'dcim', 300)
if item:
bydate[date].append(item)
for date, liste in bydate.items():
liste.sort(key=lambda item: time_from_item(item.uri))
return bydate
<|reserved_special_token_0|>
def make_posts_from_subdir(args, dirname):
if args.bydir is False:
medias_ext = list_of_medias(args, dirname, args.recursive)
else:
medias_ext = list_of_medias_ext(args, dirname)
postmedias = list()
for item in medias_ext:
postmedia = create_item(args, item, args.sourcedir, args.thumbdir,
'dcim', 300)
if postmedia is not None:
postmedias.append(postmedia)
post = Post(date='00000000', text='', medias=[])
post.dcim = postmedias
posts = [post]
title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.
sourcedir)[0]
return title, posts
<|reserved_special_token_0|>
def create_gallery(args):
title, posts = make_posts(args, args.sourcedir)
print_html(args, posts, title, os.path.join(args.dest, args.rootname),
'regular')
purge_htmlfiles(args, posts)
if args.diary and not args.sourcedir:
purge_thumbnails(args, args.thumbdir, posts, diary=True)
else:
purge_thumbnails(args, args.thumbdir, posts)
def create_diary(args):
medias = list_of_medias(args, args.sourcedir, args.recursive)
if args.dates == 'diary':
assert 0
else:
required_dates = {date_from_item(media) for media in medias}
if type(args.dates) == tuple:
date1, date2 = args.dates
required_dates = {date for date in required_dates if date1 <=
date <= date2}
title = args.sourcedir
posts = list()
for date in sorted(required_dates):
posts.append(Post.from_date(date))
os.makedirs(args.root, exist_ok=True)
print_markdown(posts, title, os.path.join(args.root, 'index.md'))
def online_images_url(args):
try:
if args.urlblogger.startswith('http:') or args.urlblogger.startswith(
'https:'):
with urlopen(args.urlblogger) as u:
buffer = u.read()
else:
with open(args.urlblogger, 'rb') as f:
buffer = f.read()
except:
error('Unable to read url', args.urlblogger)
buffer = buffer.decode('utf-8')
online_images = dict()
for match in re.finditer('<div class="separator"((?!<div).)*?</div>',
buffer, flags=re.DOTALL):
div_separator = match.group(0)
div_separator = div_separator.replace(' ', '')
elem_div = objectify.fromstring(div_separator)
for elem_a in elem_div.iterchildren(tag='a'):
href = elem_a.get('href')
thumb = elem_a.img.get('src')
online_images[os.path.basename(href)] = href, thumb
online_videos = list()
for match in re.finditer(
'<iframe allowfullscreen="allowfullscreen".*?</iframe>', buffer,
flags=re.DOTALL):
iframe = match.group(0)
online_videos.append(iframe)
return online_images, online_videos
def compare_image_buffers(imgbuf1, imgbuf2):
"""
return True if images read on file are identical, False otherwise
"""
with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:
img1 = Image.open(imgio1)
img2 = Image.open(imgio2)
diff = ImageChops.difference(img1, img2)
return not diff.getbbox()
def check_images(args, posts, online_images):
result = True
for post in posts:
for media in post.medias:
if type(media) is PostImage:
if media.basename in online_images:
with open(os.path.join(args.root, media.uri), 'rb') as f:
imgbuf1 = f.read()
try:
with urlopen(online_images[media.basename][0]) as u:
imgbuf2 = u.read()
except FileNotFoundError:
print('File not found', online_images[media.
basename][0])
next
if compare_image_buffers(imgbuf1, imgbuf2) is False:
print('Files are different, upload', media.basename)
elif 1:
print('File already online', media.basename)
else:
print('File is absent, upload', media.basename)
result = False
elif type(media) is PostVideo:
print('Video not checked', media.basename)
else:
assert False
return result
def compose_blogger_html(args, title, posts, imgdata, online_videos):
""" Compose html with blogger image urls
"""
for post in posts:
for media in post.medias:
if type(media) is PostImage:
if media.uri not in imgdata:
print('Image missing: ', media.uri)
else:
img_url, resized_url = imgdata[media.uri]
media.uri = img_url
media.resized_url = resized_url
elif type(media) is PostVideo:
if not online_videos:
print('Video missing: ', media.uri)
else:
media.iframe = online_videos[0]
del online_videos[0]
else:
assert False
return print_html(args, posts, title, '', target='blogger')
def prepare_for_blogger(args):
"""
Export blogger html to clipboard.
If --full, export complete html, otherwise export html extract ready to
paste into blogger edit mode.
"""
title, posts = parse_markdown(os.path.join(args.root, 'index.md'))
online_images, online_videos = online_images_url(args)
if args.check_images and check_images(args, posts, online_images) is False:
pass
html = compose_blogger_html(args, title, posts, online_images,
online_videos)
if args.full is False:
html = re.search('<body>(.*)?</body>', html, flags=re.DOTALL).group(1)
html = re.sub('<script>.*?</script>', '', html, flags=re.DOTALL)
html = STYLE.replace('%%', '%') + html
if args.dest:
with open(args.dest, 'wt', encoding='utf-8') as f:
f.write(html)
else:
clipboard.copy(html)
def idempotence(args):
"""
For testing identity between a diary file and the fle obtained after reading
and printing it. See testing.
"""
title, posts = parse_markdown(os.path.join(args.root, 'index.md'))
print_markdown(posts, title, os.path.join(args.dest, 'index.md'))
<|reserved_special_token_0|>
class MyConfigParser(ConfigParser):
"""Add input checking."""
def __init__(self):
ConfigParser.__init__(self, inline_comment_prefixes=(';',))
def error(self, section, entry):
error('Missing or incorrect config value:', '[%s]%s' % (section, entry)
)
def getint(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getint(self, section, entry)
else:
return ConfigParser.getint(self, section, entry, raw=True,
vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def getboolean(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getboolean(self, section, entry)
else:
return ConfigParser.getboolean(self, section, entry, raw=
True, vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def configfilename(params):
return os.path.join(params.root, '.config.ini')
def createconfig(config_filename):
with open(config_filename, 'wt') as f:
f.writelines(CONFIG_DEFAULTS)
def read_config(params):
config_filename = configfilename(params)
try:
if not os.path.exists(config_filename) or params.resetcfg:
createconfig(config_filename)
except:
error('Error creating configuration file')
try:
getconfig(params, config_filename)
except Exception as e:
error('Error reading configuration file.', str(e), 'Use --resetcfg')
def getconfig(options, config_filename):
class Section:
pass
options.source = Section()
options.thumbnails = Section()
options.photobox = Section()
config = MyConfigParser()
config.read(config_filename)
options.source.sourcedir = config.get('source', 'sourcedir')
options.source.bydir = config.getboolean('source', 'bydir')
options.source.bydate = config.getboolean('source', 'bydate')
options.source.diary = config.getboolean('source', 'diary')
options.source.recursive = config.getboolean('source', 'recursive')
options.source.dates = config.get('source', 'dates')
options.source.github_pages = config.getboolean('source',
'github_pages', default=False)
options.thumbnails.media_description = config.getboolean('thumbnails',
'media_description')
options.thumbnails.subdir_caption = config.getboolean('thumbnails',
'subdir_caption')
options.thumbnails.thumbdelay = config.getint('thumbnails', 'thumbdelay')
options.thumbnails.threshold_thumbs = config.getint('thumbnails',
'threshold_thumbs')
options.thumbnails.threshold_htmlfiles = config.getint('thumbnails',
'threshold_htmlfiles', default=3)
options.photobox.loop = config.getboolean('photobox', 'loop')
options.photobox.thumbs = config.getboolean('photobox', 'thumbs')
options.photobox.autoplay = config.getboolean('photobox', 'autoplay')
options.photobox.time = config.getint('photobox', 'time')
options.photobox.zoomable = config.getboolean('photobox', 'zoomable')
options.photobox.rotatable = config.getboolean('photobox', 'rotatable')
options.photobox.wheelNextPrev = config.getboolean('photobox',
'wheelNextPrev')
<|reserved_special_token_0|>
def setconfig_cmd(args):
config_filename = configfilename(args)
setconfig(config_filename, *args.setcfg)
def update_config(args):
updates = ('sourcedir', args.sourcedir), ('bydir', BOOL[args.bydir]), (
'bydate', BOOL[args.bydate]), ('diary', BOOL[args.diary]), ('recursive'
, BOOL[args.recursive]), ('dates', args.dates), ('github_pages',
BOOL[args.github_pages])
cfgname = configfilename(args)
with open(cfgname) as f:
cfglines = [_.strip() for _ in f.readlines()]
for key, value in updates:
for iline, line in enumerate(cfglines):
if line.startswith(key):
cfglines[iline] = f'{key} = {value}'
break
with open(cfgname, 'wt') as f:
for line in cfglines:
print(line, file=f)
def warning(*msg):
print(colorama.Fore.YELLOW + colorama.Style.BRIGHT + ' '.join(msg),
colorama.Style.RESET_ALL)
<|reserved_special_token_0|>
def errorcode(msg):
return ERRORS.splitlines().index(msg) + 1
def error(*msg):
print(colorama.Fore.RED + colorama.Style.BRIGHT + ' '.join(msg),
colorama.Style.RESET_ALL)
sys.exit(errorcode(msg[0]))
<|reserved_special_token_0|>
def setup_part1(args):
"""
Made before reading config file (config file located in args.root).
Check and normalize root path.
"""
args.rootarg = args.root
rootext = os.path.splitext(args.rootarg)[1]
if rootext == '':
pass
else:
args.root = os.path.dirname(args.root)
if args.root:
args.root = os.path.abspath(args.root)
if not os.path.isdir(args.root):
if args.gallery:
os.mkdir(args.root)
else:
error('Directory not found', args.root)
def setup_part2(args):
"""
Made after reading config file.
Check for ffmpeg in path.
Create .thumbnails dir if necessary and create .nomedia in it.
Copy photobox file to destination dir.
Handle priority between command line and config file.
"""
if args.update:
args.sourcedir = args.source.sourcedir
args.bydir = args.source.bydir
args.bydate = args.source.bydate
args.diary = args.source.diary
args.recursive = args.source.recursive
args.dates = args.source.dates
args.github_pages = args.source.github_pages
elif args.gallery:
args.source.sourcedir = args.sourcedir
args.source.bydir = args.bydir
args.source.bydate = args.bydate
args.source.diary = args.diary
args.source.recursive = args.recursive
args.source.dates = args.dates
args.source.github_pages = args.github_pages
update_config(args)
if args.github_pages:
args.html_suffix = '.html'
else:
args.html_suffix = '.htm'
rootext = os.path.splitext(args.rootarg)[1]
if rootext:
args.rootname = os.path.basename(args.rootarg)
else:
args.rootname = 'index' + args.html_suffix
if args.sourcedir:
args.sourcedir = os.path.abspath(args.sourcedir)
if os.path.splitdrive(args.sourcedir)[0]:
drive, rest = os.path.splitdrive(args.sourcedir)
args.sourcedir = drive.upper() + rest
if not os.path.isdir(args.sourcedir):
error('Directory not found', args.sourcedir)
elif args.gallery and args.diary is False and args.update is None:
error('Directory not found', 'Use --sourcedir')
if args.dest:
args.dest = os.path.abspath(args.dest)
if args.dest is None:
args.dest = args.root
if args.blogger and args.urlblogger is None:
error('No blogger url (--url)')
if args.gallery or args.update:
for exe in ('ffmpeg', 'ffprobe'):
try:
check_output([exe, '-version'])
except FileNotFoundError:
error('File not found', exe)
if args.github_pages:
args.thumbrep = 'thumbnails'
else:
args.thumbrep = '.thumbnails'
args.thumbdir = os.path.join(args.dest, args.thumbrep)
if not os.path.exists(args.thumbdir):
os.mkdir(args.thumbdir)
open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()
favicondst = os.path.join(args.dest, 'favicon.ico')
if not os.path.isfile(favicondst):
faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')
shutil.copyfile(faviconsrc, favicondst)
photoboxdir = os.path.join(args.dest, 'photobox')
if not os.path.exists(photoboxdir):
photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')
shutil.copytree(photoboxsrc, photoboxdir)
if args.dates:
if not (args.gallery or args.create):
pass
if args.dates == 'source':
pass
elif args.dates == 'diary':
if args.create:
error('Incorrect date format', args.dates)
elif re.match('\\d+-\\d+', args.dates):
date1, date2 = args.dates.split('-')
if validate_date(date1) and validate_date(date2):
args.dates = date1, date2
else:
error('Incorrect date format', args.dates)
else:
error('Incorrect date format', args.dates)
def main(argstring=None):
colorama.init()
args = parse_command_line(argstring)
setup_part1(args)
read_config(args)
setup_part2(args)
try:
if args.gallery or args.update:
create_gallery(args)
elif args.create:
create_diary(args)
elif args.blogger:
prepare_for_blogger(args)
elif args.idem:
idempotence(args)
elif args.setcfg:
setconfig_cmd(args)
except KeyboardInterrupt:
warning('Interrupted by user.')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Post:
def __init__(self, date, text, medias):
self.date = date
self.text = text
self.medias = medias
self.dcim = []
self.daterank = 0
self.extra = False
def __lt__(self, other):
return self.date < other.date
@classmethod
def from_markdown(cls, post):
m = re.match('\\[(\\d\\d\\d\\d/\\d\\d/\\d\\d)\\]\\n*', post[0])
if m:
date = m.group(1).replace('/', '')
if not validate_date(date):
error('Incorrect date value:', date)
del post[0]
else:
error('No date in post', ' '.join(post))
while post and not post[0].strip():
del post[0]
text = ''
while post and not re.match('!?\\[\\]', post[0]):
text += post[0]
del post[0]
text = re.sub('\\n\\n$', '\n', text)
medias = list()
while post and (match := re.match('!?\\[\\]\\((.*)\\)', post[0])):
media = match.group(1)
caption = None
del post[0]
if post and not re.match('!?\\[\\]', post[0]):
caption = post[0].strip()
del post[0]
if match.group(0)[0] == '!':
medias.append(PostImage(caption, media))
else:
medias.append(PostVideo(caption, media))
return cls(date, text, medias)
@classmethod
def from_date(cls, date):
dt = datetime.datetime.strptime(date, '%Y%m%d')
datetext = dt.strftime('%A %d %B %Y').capitalize()
post = cls(date, text=datetext, medias=[])
post.daterank = 1
return post
def to_html(self, args, target='regular'):
if target == 'regular':
if args.diary:
return self.to_html_diary(args)
else:
return self.to_html_regular(args)
if target == 'blogger':
return self.to_html_blogger()
def to_html_regular(self, args):
html = list()
if self.text:
html.append(markdown.markdown(self.text))
subdirs, dcim = dispatch_post_items(self.dcim)
if self.dcim:
html.append(SEP)
for media in subdirs:
html.append(media.to_html_dcim(args))
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
return html
def to_html_diary(self, args):
html = list()
if self.extra:
html.append('<div class="extra">')
if self.text:
html.append(markdown.markdown(self.text))
if self.medias:
html.append(f'<div id="gallery-blog-{self.date}-{self.daterank}">')
for media in self.medias:
html.append(media.to_html_post(args))
html.append('</div>')
_, dcim = dispatch_post_items(self.dcim)
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
html.append(SEP)
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
if self.extra:
html.append('</div>')
return html
def to_html_blogger(self):
html = list()
html.append(markdown.markdown(self.text))
for image in self.medias:
html.append(image.to_html_blogger())
html.append(SEP)
return html
class PostItem:
def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):
self.caption = caption
self.uri = uri
self.basename = os.path.basename(uri)
self.thumb = thumb
self.thumbsize = thumbsize
self.descr = descr
self.resized_url = None
class PostImage(PostItem):
def to_markdown(self):
if not self.caption:
return '' % (self.uri,)
else:
return '\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,
descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *
self.thumbsize, descr)
def to_html_blogger(self):
if not self.caption:
return BIMGPAT % (self.uri, self.resized_url)
else:
return f'{BIMGPAT}\n{CAPTION_PAT}' % (self.uri, self.
resized_url, self.caption)
class PostVideo(PostItem):
def to_markdown(self):
if not self.caption:
return '[](%s)' % (self.uri,)
else:
return '[](%s)\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,
descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *
self.thumbsize, descr)
def to_html_blogger(self):
x = f'<p style="text-align: center;">{self.iframe}</p>'
if not self.caption:
return x
else:
return f'%s\n{CAPTION_PAT}' % (x, self.caption)
class PostSubdir(PostItem):
def to_html_dcim(self, args):
basename = os.path.basename(self.htmname)
posts = self.posts
title = self.caption
print_html(args, posts, title, self.htmname)
if not self.caption:
return DIRPOST % (basename, self.thumb, *self.thumbsize)
else:
return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize,
self.caption)
def relative_url(path, root):
"""
returns a normalized url to path relative from root
"""
try:
url = os.path.relpath(path, root)
except:
error('Unable to make a relative url:', url, root)
url = url.replace('\\', '/') if os.sep == '\\' else url
return urllib.parse.quote(url)
def parse_markdown(filename):
"""
Generate Post objects from markdown. Date must be present in each post and
posts must be ordrered by date.
"""
if not os.path.exists(filename):
error('File not found', filename)
posts = list()
with open(filename, encoding='utf-8') as f:
line = next(f)
if line.startswith('# '):
title = line[2:].strip()
record = []
next(f)
else:
title = None
record = [line]
for line in f:
if not line.startswith('___'):
record.append(line)
else:
posts.append(Post.from_markdown(record))
record = []
daterank = defaultdict(int)
for post in posts:
daterank[post.date] += 1
post.daterank = daterank[post.date]
for post1, post2 in zip(posts[:-1], posts[1:]):
if post1.date > post2.date:
error('Posts are not ordered', f'{post1.date} > {post2.date}')
return title, posts
def print_markdown(posts, title, fullname):
with open(fullname, 'wt', encoding='utf-8') as fdst:
print(f'# {title}\n', file=fdst)
for post in posts:
date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'
print(date, file=fdst)
if post.text:
print(file=fdst)
for line in post.text.splitlines():
if not line:
print(file=fdst)
else:
for chunk in textwrap.wrap(line, width=78):
print(chunk, file=fdst)
if post.medias:
print(file=fdst)
for media in post.medias:
print(media.to_markdown(), file=fdst)
print('______', file=fdst)
def compose_html_reduced(args, posts, title, target):
html = list()
html.append(START % title)
for post in posts:
for line in post.to_html(args, target):
html.append(line.strip())
html.append('')
html.append(END)
return html
def compose_html_full(args, posts, title, target):
html = list()
html.append(START % title)
if args.diary:
html.append(BUTTONS)
for post in posts:
for line in post.to_html(args, target):
html.append(line.strip())
html.append('')
html.append('<script>')
for post in posts:
if post.medias:
gallery_id = f'gallery-blog-{post.date}-{post.daterank}'
html.append(gallery_call(args, gallery_id))
if post.dcim:
gallery_id = f'gallery-dcim-{post.date}-{post.daterank}'
html.append(gallery_call(args, gallery_id))
html.append('</script>')
html.append(END)
return html
def print_html_to_stream(args, posts, title, stream, target):
if target == 'regular':
for line in compose_html_full(args, posts, title, target):
print(line, file=stream)
else:
for line in compose_html_reduced(args, posts, title, target):
print(line, file=stream)
def print_html(args, posts, title, html_name, target='regular'):
assert target in ('regular', 'blogger')
with io.StringIO() as f:
print_html_to_stream(args, posts, title, f, target)
html = f.getvalue()
if html_name:
if os.path.exists(html_name):
with open(html_name, 'rt', encoding='utf-8') as f:
html0 = f.read()
if html == html0:
return None
with open(html_name, 'wt', encoding='utf-8') as f:
f.write(html)
return None
else:
return html
<|reserved_special_token_0|>
def is_image_file(name):
return os.path.splitext(name)[1].lower() in ('.jpg', '.jpeg', '.png',
'.gif', '.bmp', '.webp', '.tif')
def is_video_file(name):
return os.path.splitext(name)[1].lower() in ('.mp4', '.webm', '.mkv',
'.flv', '.m4v', '.avi', '.wmv', '.mts', '.vob', '.divx')
def is_media(name):
return is_image_file(name) or is_video_file(name)
def validate_date(datestr):
try:
datetime.datetime.strptime(datestr, '%Y%m%d')
return True
except ValueError:
return False
def date_from_name(name):
if (match := re.search('(?:\\D|^)(\\d{8})(?:\\D|$)', name, re.ASCII)):
digits = match.group(1)
if validate_date(digits):
return digits
return None
def date_from_item(filename):
if (date := date_from_name(filename)):
return date
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')
def time_from_name(name):
if (match := re.search('(?:\\D|^)(\\d{8})\\D(\\d{6})(?:\\D|$)', name,
re.ASCII)):
digits = match.group(2)
hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits
[4:6])
if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:
return digits
return None
def time_from_item(filename):
if (time := time_from_name(filename)):
return time
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')
<|reserved_special_token_0|>
def get_image_info(filename):
date = date_from_item(filename)
time = time_from_item(filename)
img = Image.open(filename)
width, height = img.size
size = round(os.path.getsize(filename) / 1000000.0, 1)
return (date, time, width, height, size
), f'{date} {time}, dim={width}x{height}, {size} MB'
def get_video_info(filename, info_fullname):
if os.path.exists(info_fullname):
with open(info_fullname) as f:
info = f.readline().split()
date, time, width, height, size, duration, fps = info[0], info[1], int(
info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6]
)
formatted_info = format_video_info(date, time, width, height, size,
duration, fps)
return (date, time, width, height, size, duration, fps), formatted_info
else:
info, formatted_info = make_video_info(filename, info_fullname)
with open(info_fullname, 'wt') as f:
print(' '.join([str(_) for _ in info]), file=f)
return info, formatted_info
def make_video_info(filename, info_fullname):
date = date_from_item(filename)
time = time_from_item(filename)
command = [*FFPROBE_CMD.split(), filename]
try:
output = check_output(command, stderr=STDOUT).decode()
width, height, fps, duration = parse_ffprobe_output(output)
size = round(os.path.getsize(filename) / 1000000.0, 1)
output = format_video_info(date, time, width, height, size,
duration, fps)
except CalledProcessError as e:
output = e.output.decode()
warning(output)
raise
return (date, time, width, height, size, duration, fps), output
def parse_ffprobe_output(ffprobe_output):
match = re.match(
'(\\d+),(\\d+),(\\d+)/(\\d+),(\\d+/\\d+).*\\s(\\d+\\.\\d+)',
ffprobe_output, re.DOTALL)
width = int(match.group(1))
height = int(match.group(2))
fps = round(int(match.group(3)) / int(match.group(4)), 1)
duration = round(float(match.group(6)))
return width, height, fps, duration
def format_video_info(date, time, width, height, size, duration, fps):
return (
f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'
)
def format_duration(duration):
mn = duration // 60
sec = duration % 60
if mn <= 59:
return f'm:s={mn:02}:{sec:02}'
else:
hour = mn // 60
mn = mn % 60
return f'h:m:s={hour:02}:{mn:02}:{sec:02}'
def thumbname(name, key):
return key + '-' + name + '.jpg'
def size_thumbnail(width, height, maxdim):
if width >= height:
return maxdim, int(round(maxdim * height / width))
else:
return int(round(maxdim * width / height)), maxdim
def make_thumbnail_image(args, image_name, thumb_name, size):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_image(image_name, thumb_name, size)
def create_thumbnail_image(image_name, thumb_name, size):
imgobj = Image.open(image_name)
if imgobj.mode != 'RGBA' and image_name.endswith('.jpg') and not (
image_name.endswith('.gif') and imgobj.info.get('transparency')):
imgobj = imgobj.convert('RGBA')
imgobj.thumbnail(size, Image.LANCZOS)
imgobj = imgobj.convert('RGB')
imgobj.save(thumb_name)
def make_thumbnail_video(args, video_name, thumb_name, size, duration):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_video(args, video_name, thumb_name, size, duration)
<|reserved_special_token_0|>
def create_thumbnail_video(args, filename, thumbname, size, duration):
delay = min(duration - 1, args.thumbnails.thumbdelay)
sizearg = '%dx%d' % size
command = (
'ffmpeg -y -v error -itsoffset -%d -i "%s" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s "%s"'
)
command = command % (delay, filename, sizearg, thumbname)
result = os.system(command)
try:
img1 = Image.open(thumbname)
except:
warning('Unable to save thumbnail for', filename)
return
img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))
width, height = img1.size
img1.paste(img2, (6, height - 20 - 6), None)
img1.save(thumbname)
def make_thumbnail_subdir(args, subdir_name, thumb_name, size, items, thumbdir
):
print('Making thumbnail:', thumb_name)
create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir)
def create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):
def size_thumbnail(width, height, xmax, ymax):
width2 = xmax
height2 = int(round(xmax * height / width))
if height2 < ymax:
width2 = int(round(ymax * width / height))
height2 = ymax
return width2, height2
thumblist = [os.path.basename(item.thumb) for item in items]
widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size
, thumblist)
thumbnum = widthnum * heightnum
img = Image.new('RGB', size, SUBDIR_BACKCOL)
for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):
row = ind // widthnum
col = ind % widthnum
img2 = Image.open(os.path.join(thumbdir, thumb))
w, h = size_thumbnail(*img2.size, width[col], height[row])
cropdim = (w - width[col]) // 2, (h - height[row]) // 2, (w - width
[col]) // 2 + width[col], (h - height[row]) // 2 + height[row]
img2 = img2.resize((w, h), Image.LANCZOS)
img2 = img2.crop(cropdim)
img.paste(img2, (offsetx[col], offsety[row]))
if os.path.exists(thumb_name):
imgref = Image.open(thumb_name)
byteio = io.BytesIO()
img.save(byteio, 'JPEG')
byteio.seek(0)
imgnew = Image.open(byteio)
diff = ImageChops.difference(imgnew, imgref)
if diff.getbbox() is None:
return
img.save(thumb_name)
def mosaic_geometry(size, thumblist):
if len(thumblist) == 1:
widthnum = 1
heightnum = 1
elif len(thumblist) <= 3:
widthnum = 1
heightnum = 2
elif len(thumblist) <= 8:
widthnum = 2
heightnum = 2
else:
widthnum = 3
heightnum = 3
if widthnum == 1:
width = [size[0] - 2]
else:
width = [size[0] // widthnum - 2] * (widthnum - 1)
width.append(size[0] - (1 + sum(width) + 2 * len(width) + 1))
if heightnum == 1:
height = [size[1] - 2]
else:
height = [size[1] // heightnum - 2] * (heightnum - 1)
height.append(size[1] - (1 + sum(height) + 2 * len(height) + 1))
offsetx = [1]
for w in width[:-1]:
offsetx.append(offsetx[-1] + w + 2)
offsety = [1]
for h in height[:-1]:
offsety.append(offsety[-1] + h + 2)
return widthnum, heightnum, width, height, offsetx, offsety
<|reserved_special_token_0|>
def list_of_htmlfiles_in_items(itemlist):
htmlist = list()
for item in itemlist:
if type(item) == PostSubdir:
htmlist.append(item.htmname)
htmlist.extend(list_of_htmlfiles_in_items(item.sublist))
return htmlist
def list_of_thumbnails(posts, diary=False):
thumblist = list()
for post in posts:
thumblist.extend(list_of_thumbnails_in_items(post.medias))
if diary is False:
thumblist.extend(list_of_thumbnails_in_items(post.dcim))
return thumblist
def list_of_thumbnails_in_items(itemlist):
thumblist = list()
for item in itemlist:
if type(item) == PostSubdir:
thumblist.append(os.path.basename(item.thumb))
thumblist.extend(list_of_thumbnails_in_items(item.sublist))
else:
thumblist.append(os.path.basename(item.thumb))
return thumblist
def purge_htmlfiles(args, posts):
"""
Purge root dir from irrelevant html files
"""
htmlist = list_of_htmlfiles(args, posts)
html_to_remove = list()
for fullname in glob.glob(os.path.join(args.root, '*.htm*')):
if fullname not in htmlist:
html_to_remove.append(fullname)
if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:
inpt = 'x'
while inpt not in 'yn':
inpt = input(
f'{len(html_to_remove)} html files to remove. Continue [y|n]? '
).lower()
if inpt == 'n':
return
for name in html_to_remove:
print('Removing html files', name)
os.remove(name)
def purge_thumbnails(args, thumbdir, posts, diary=False):
"""
Purge thumbnail dir from irrelevant thumbnails
"""
thumblist = list_of_thumbnails(posts, diary)
thumbs_to_remove = list()
for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):
if os.path.basename(fullname) not in thumblist:
thumbs_to_remove.append(fullname)
if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:
inpt = 'x'
while inpt not in 'yn':
inpt = input(
f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? '
).lower()
if inpt == 'n':
return
for name in thumbs_to_remove:
print('Removing thumbnail', name)
os.remove(name)
info_fullname = os.path.splitext(name)[0] + '.info'
if os.path.exists(info_fullname):
os.remove(info_fullname)
def is_media_within_dates(fullname, dates):
if is_media(fullname):
if type(dates) == tuple:
return dates[0] <= date_from_item(fullname) <= dates[1]
else:
return True
else:
return False
def sorted_listdir(filelist):
like_windows_explorer = True
if not filelist:
return filelist
if like_windows_explorer:
maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)
def keyfunc(name):
root, ext = os.path.splitext(name.lower())
return root.ljust(maxlen, ' ') + ext
else:
keyfunc = str.lower
return sorted(filelist, key=keyfunc)
def list_of_files(sourcedir, recursive):
"""
Return the list of full paths for files in source directory
"""
result = list()
if recursive is False:
listdir = sorted_listdir(os.listdir(sourcedir))
if '.nomedia' not in listdir:
for basename in listdir:
result.append(os.path.join(sourcedir, basename))
else:
for root, dirs, files in os.walk(sourcedir):
if '.nomedia' not in files:
for basename in sorted_listdir(files):
result.append(os.path.join(root, basename))
return result
def list_of_medias(args, sourcedir, recursive):
"""
Return the list of full paths for pictures and movies in source directory
"""
files = list_of_files(sourcedir, recursive)
return [_ for _ in files if is_media_within_dates(_, args.dates)]
<|reserved_special_token_0|>
def dispatch_post_items(list_of_post_items):
subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]
medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]
return subdirs, medias
def create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):
if os.path.isfile(media_fullname):
if is_image_file(media_fullname):
return create_item_image(args, media_fullname, sourcedir,
thumbdir, key, thumbmax)
else:
return create_item_video(args, media_fullname, sourcedir,
thumbdir, key, thumbmax)
else:
return create_item_subdir(args, media_fullname, sourcedir, thumbdir,
key, thumbmax)
def create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax
):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
try:
info, infofmt = get_image_info(media_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)
return PostImage(None, media_fullname, '/'.join((args.thumbrep,
thumb_basename)), thumbsize, infofmt)
except PIL.UnidentifiedImageError:
warning('Unable to read image', media_fullname)
return None
def create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax
):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'
try:
info, infofmt = get_video_info(media_fullname, info_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_video(args, media_fullname, thumb_fullname,
thumbsize, duration=info[5])
return PostVideo(None, media_fullname, '/'.join((args.thumbrep,
thumb_basename)), thumbsize, infofmt)
except CalledProcessError:
warning('Unable to read video', media_fullname)
return None
<|reserved_special_token_0|>
def relative_name(media_fullname, sourcedir):
"""
/Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg
-->
deeper2_deepest_OCT_20000112_000004.jpg
/Gilles/Dev/journal/tests/subdir/deeper2/deepest
-->
deeper2_deepest
"""
x = os.path.relpath(media_fullname, sourcedir)
x = x.replace('\\', '_').replace('/', '_').replace('#', '_')
return x
def make_posts(args, dirname):
if args.diary is True:
if not args.sourcedir:
return make_posts_from_diary(args)
else:
return make_posts_from_diary_and_dir(args)
elif args.bydate is False:
return make_posts_from_subdir(args, dirname)
else:
return make_posts_from_subdir_and_date(args, dirname)
def make_posts_from_diary(args):
md_filename = os.path.join(args.root, 'index.md')
if os.path.exists(md_filename):
title, posts = parse_markdown(md_filename)
else:
error('File not found', md_filename)
for post in posts:
for media in post.medias:
media_fullname = os.path.join(args.root, media.uri)
item = create_item(args, media_fullname, args.root, args.
thumbdir, 'post', 400)
media.thumb = item.thumb
media.thumbsize = item.thumbsize
media.descr = item.descr
return title, posts
def create_items_by_date(args, medias, posts):
if args.dates == 'diary':
required_dates = {post.date for post in posts}
else:
required_dates = {date_from_item(media) for media in medias}
if type(args.dates) == tuple:
date1, date2 = args.dates
required_dates = {date for date in required_dates if date1 <=
date <= date2}
bydate = defaultdict(list)
for media_fullname in medias:
date = date_from_item(media_fullname)
if date in required_dates:
item = create_item(args, media_fullname, args.sourcedir, args.
thumbdir, 'dcim', 300)
if item:
bydate[date].append(item)
for date, liste in bydate.items():
liste.sort(key=lambda item: time_from_item(item.uri))
return bydate
<|reserved_special_token_0|>
def make_posts_from_subdir(args, dirname):
if args.bydir is False:
medias_ext = list_of_medias(args, dirname, args.recursive)
else:
medias_ext = list_of_medias_ext(args, dirname)
postmedias = list()
for item in medias_ext:
postmedia = create_item(args, item, args.sourcedir, args.thumbdir,
'dcim', 300)
if postmedia is not None:
postmedias.append(postmedia)
post = Post(date='00000000', text='', medias=[])
post.dcim = postmedias
posts = [post]
title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.
sourcedir)[0]
return title, posts
def make_posts_from_subdir_and_date(args, dirname):
if args.bydir is False:
medias = list_of_medias(args, dirname, args.recursive)
subdirs = []
else:
medias_ext = list_of_medias_ext(args, dirname)
medias = [_ for _ in medias_ext if is_media(_)]
subdirs = [_ for _ in medias_ext if not is_media(_)]
posts = list()
items = list()
for media_fullname in subdirs:
item = create_item(args, media_fullname, args.sourcedir, args.
thumbdir, 'dcim', 300)
if item:
items.append(item)
if items:
post = Post(date='00000000', text='', medias=[])
post.dcim = items
posts.append(post)
bydate = create_items_by_date(args, medias, posts)
for date in sorted(bydate):
post = Post.from_date(date)
post.dcim = bydate[post.date]
posts.append(post)
title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.
sourcedir)[0]
return title, posts
def create_gallery(args):
title, posts = make_posts(args, args.sourcedir)
print_html(args, posts, title, os.path.join(args.dest, args.rootname),
'regular')
purge_htmlfiles(args, posts)
if args.diary and not args.sourcedir:
purge_thumbnails(args, args.thumbdir, posts, diary=True)
else:
purge_thumbnails(args, args.thumbdir, posts)
def create_diary(args):
medias = list_of_medias(args, args.sourcedir, args.recursive)
if args.dates == 'diary':
assert 0
else:
required_dates = {date_from_item(media) for media in medias}
if type(args.dates) == tuple:
date1, date2 = args.dates
required_dates = {date for date in required_dates if date1 <=
date <= date2}
title = args.sourcedir
posts = list()
for date in sorted(required_dates):
posts.append(Post.from_date(date))
os.makedirs(args.root, exist_ok=True)
print_markdown(posts, title, os.path.join(args.root, 'index.md'))
def online_images_url(args):
try:
if args.urlblogger.startswith('http:') or args.urlblogger.startswith(
'https:'):
with urlopen(args.urlblogger) as u:
buffer = u.read()
else:
with open(args.urlblogger, 'rb') as f:
buffer = f.read()
except:
error('Unable to read url', args.urlblogger)
buffer = buffer.decode('utf-8')
online_images = dict()
for match in re.finditer('<div class="separator"((?!<div).)*?</div>',
buffer, flags=re.DOTALL):
div_separator = match.group(0)
div_separator = div_separator.replace(' ', '')
elem_div = objectify.fromstring(div_separator)
for elem_a in elem_div.iterchildren(tag='a'):
href = elem_a.get('href')
thumb = elem_a.img.get('src')
online_images[os.path.basename(href)] = href, thumb
online_videos = list()
for match in re.finditer(
'<iframe allowfullscreen="allowfullscreen".*?</iframe>', buffer,
flags=re.DOTALL):
iframe = match.group(0)
online_videos.append(iframe)
return online_images, online_videos
def compare_image_buffers(imgbuf1, imgbuf2):
"""
return True if images read on file are identical, False otherwise
"""
with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:
img1 = Image.open(imgio1)
img2 = Image.open(imgio2)
diff = ImageChops.difference(img1, img2)
return not diff.getbbox()
def check_images(args, posts, online_images):
result = True
for post in posts:
for media in post.medias:
if type(media) is PostImage:
if media.basename in online_images:
with open(os.path.join(args.root, media.uri), 'rb') as f:
imgbuf1 = f.read()
try:
with urlopen(online_images[media.basename][0]) as u:
imgbuf2 = u.read()
except FileNotFoundError:
print('File not found', online_images[media.
basename][0])
next
if compare_image_buffers(imgbuf1, imgbuf2) is False:
print('Files are different, upload', media.basename)
elif 1:
print('File already online', media.basename)
else:
print('File is absent, upload', media.basename)
result = False
elif type(media) is PostVideo:
print('Video not checked', media.basename)
else:
assert False
return result
def compose_blogger_html(args, title, posts, imgdata, online_videos):
""" Compose html with blogger image urls
"""
for post in posts:
for media in post.medias:
if type(media) is PostImage:
if media.uri not in imgdata:
print('Image missing: ', media.uri)
else:
img_url, resized_url = imgdata[media.uri]
media.uri = img_url
media.resized_url = resized_url
elif type(media) is PostVideo:
if not online_videos:
print('Video missing: ', media.uri)
else:
media.iframe = online_videos[0]
del online_videos[0]
else:
assert False
return print_html(args, posts, title, '', target='blogger')
def prepare_for_blogger(args):
"""
Export blogger html to clipboard.
If --full, export complete html, otherwise export html extract ready to
paste into blogger edit mode.
"""
title, posts = parse_markdown(os.path.join(args.root, 'index.md'))
online_images, online_videos = online_images_url(args)
if args.check_images and check_images(args, posts, online_images) is False:
pass
html = compose_blogger_html(args, title, posts, online_images,
online_videos)
if args.full is False:
html = re.search('<body>(.*)?</body>', html, flags=re.DOTALL).group(1)
html = re.sub('<script>.*?</script>', '', html, flags=re.DOTALL)
html = STYLE.replace('%%', '%') + html
if args.dest:
with open(args.dest, 'wt', encoding='utf-8') as f:
f.write(html)
else:
clipboard.copy(html)
def idempotence(args):
"""
For testing identity between a diary file and the fle obtained after reading
and printing it. See testing.
"""
title, posts = parse_markdown(os.path.join(args.root, 'index.md'))
print_markdown(posts, title, os.path.join(args.dest, 'index.md'))
<|reserved_special_token_0|>
class MyConfigParser(ConfigParser):
"""Add input checking."""
def __init__(self):
ConfigParser.__init__(self, inline_comment_prefixes=(';',))
def error(self, section, entry):
error('Missing or incorrect config value:', '[%s]%s' % (section, entry)
)
def getint(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getint(self, section, entry)
else:
return ConfigParser.getint(self, section, entry, raw=True,
vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def getboolean(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getboolean(self, section, entry)
else:
return ConfigParser.getboolean(self, section, entry, raw=
True, vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def configfilename(params):
return os.path.join(params.root, '.config.ini')
def createconfig(config_filename):
with open(config_filename, 'wt') as f:
f.writelines(CONFIG_DEFAULTS)
def read_config(params):
config_filename = configfilename(params)
try:
if not os.path.exists(config_filename) or params.resetcfg:
createconfig(config_filename)
except:
error('Error creating configuration file')
try:
getconfig(params, config_filename)
except Exception as e:
error('Error reading configuration file.', str(e), 'Use --resetcfg')
def getconfig(options, config_filename):
class Section:
pass
options.source = Section()
options.thumbnails = Section()
options.photobox = Section()
config = MyConfigParser()
config.read(config_filename)
options.source.sourcedir = config.get('source', 'sourcedir')
options.source.bydir = config.getboolean('source', 'bydir')
options.source.bydate = config.getboolean('source', 'bydate')
options.source.diary = config.getboolean('source', 'diary')
options.source.recursive = config.getboolean('source', 'recursive')
options.source.dates = config.get('source', 'dates')
options.source.github_pages = config.getboolean('source',
'github_pages', default=False)
options.thumbnails.media_description = config.getboolean('thumbnails',
'media_description')
options.thumbnails.subdir_caption = config.getboolean('thumbnails',
'subdir_caption')
options.thumbnails.thumbdelay = config.getint('thumbnails', 'thumbdelay')
options.thumbnails.threshold_thumbs = config.getint('thumbnails',
'threshold_thumbs')
options.thumbnails.threshold_htmlfiles = config.getint('thumbnails',
'threshold_htmlfiles', default=3)
options.photobox.loop = config.getboolean('photobox', 'loop')
options.photobox.thumbs = config.getboolean('photobox', 'thumbs')
options.photobox.autoplay = config.getboolean('photobox', 'autoplay')
options.photobox.time = config.getint('photobox', 'time')
options.photobox.zoomable = config.getboolean('photobox', 'zoomable')
options.photobox.rotatable = config.getboolean('photobox', 'rotatable')
options.photobox.wheelNextPrev = config.getboolean('photobox',
'wheelNextPrev')
def setconfig(cfgname, section, key, value):
config = MyConfigParser()
config.read(cfgname)
config.set(section, key, value)
with open(cfgname, 'wt') as configfile:
config.write(configfile)
def setconfig_cmd(args):
config_filename = configfilename(args)
setconfig(config_filename, *args.setcfg)
def update_config(args):
updates = ('sourcedir', args.sourcedir), ('bydir', BOOL[args.bydir]), (
'bydate', BOOL[args.bydate]), ('diary', BOOL[args.diary]), ('recursive'
, BOOL[args.recursive]), ('dates', args.dates), ('github_pages',
BOOL[args.github_pages])
cfgname = configfilename(args)
with open(cfgname) as f:
cfglines = [_.strip() for _ in f.readlines()]
for key, value in updates:
for iline, line in enumerate(cfglines):
if line.startswith(key):
cfglines[iline] = f'{key} = {value}'
break
with open(cfgname, 'wt') as f:
for line in cfglines:
print(line, file=f)
def warning(*msg):
print(colorama.Fore.YELLOW + colorama.Style.BRIGHT + ' '.join(msg),
colorama.Style.RESET_ALL)
<|reserved_special_token_0|>
def errorcode(msg):
return ERRORS.splitlines().index(msg) + 1
def error(*msg):
print(colorama.Fore.RED + colorama.Style.BRIGHT + ' '.join(msg),
colorama.Style.RESET_ALL)
sys.exit(errorcode(msg[0]))
<|reserved_special_token_0|>
def parse_command_line(argstring):
parser = argparse.ArgumentParser(description=None, usage=USAGE)
agroup = parser.add_argument_group('Commands')
xgroup = agroup.add_mutually_exclusive_group()
xgroup.add_argument('--gallery', help='source in --sourcedir', action=
'store', metavar='<root-dir>')
agroup.add_argument('--update', help=
'updates gallery with parameters in config file', action='store',
metavar='<root-dir>')
xgroup.add_argument('--create', help=
'create journal from medias in --sourcedir', action='store',
metavar='<root-dir>')
xgroup.add_argument('--resetcfg', help='reset config file to defaults',
action='store', metavar='<root-dir>')
xgroup.add_argument('--setcfg', help=argparse.SUPPRESS, action='store',
nargs=4, metavar='<root-dir>')
xgroup.add_argument('--idem', help=argparse.SUPPRESS, action='store',
metavar='<root-dir>')
xgroup.add_argument('--blogger', help=
'input md, html blogger ready in clipboard', action='store',
metavar='<root-dir>')
agroup = parser.add_argument_group('Parameters')
agroup.add_argument('--bydir', help='organize gallery by subdirectory',
action='store', default=None, choices=BOOL)
agroup.add_argument('--bydate', help='organize gallery by date', action
='store', default=None, choices=BOOL)
agroup.add_argument('--diary', help=
'organize gallery using markdown file diary', action='store',
default=None, choices=BOOL)
agroup.add_argument('--recursive', help='--sourcedir scans recursively',
action='store', default=None, choices=BOOL)
agroup.add_argument('--dates', help='dates interval', action='store',
default=None)
agroup.add_argument('--sourcedir', help='media directory', action=
'store', default=None)
agroup.add_argument('--github_pages', help='github Pages compatibility',
action='store', default=None, choices=BOOL)
agroup.add_argument('--dest', help='output directory', action='store')
agroup.add_argument('--forcethumb', help=
'force calculation of thumbnails', action='store_true', default=False)
agroup.add_argument('--full', help=
'full html (versus blogger ready html)', action='store_true',
default=False)
agroup.add_argument('--check', dest='check_images', help=
'check availability of medias on blogger', action='store_true')
agroup.add_argument('--url', dest='urlblogger', help='blogger post url',
action='store')
if argstring is None:
print('Type "galerie -h" for help')
sys.exit(1)
else:
args = parser.parse_args(argstring.split())
if args.update and (args.bydir or args.bydate or args.diary or args.
sourcedir or args.recursive or args.dates or args.github_pages):
error('Incorrect parameters:',
'--update cannot be used with creation parameters, use explicit command'
)
args.bydir = args.bydir == 'true'
args.bydate = args.bydate == 'true'
args.diary = args.diary == 'true'
args.recursive = args.recursive == 'true'
args.dates = 'source' if args.dates is None else args.dates
args.github_pages = args.github_pages == 'true'
args.root = (args.create or args.gallery or args.update or args.blogger or
args.idem or args.resetcfg)
if args.setcfg:
args.root = args.setcfg[0]
args.setcfg = args.setcfg[1:]
return args
def setup_part1(args):
"""
Made before reading config file (config file located in args.root).
Check and normalize root path.
"""
args.rootarg = args.root
rootext = os.path.splitext(args.rootarg)[1]
if rootext == '':
pass
else:
args.root = os.path.dirname(args.root)
if args.root:
args.root = os.path.abspath(args.root)
if not os.path.isdir(args.root):
if args.gallery:
os.mkdir(args.root)
else:
error('Directory not found', args.root)
def setup_part2(args):
"""
Made after reading config file.
Check for ffmpeg in path.
Create .thumbnails dir if necessary and create .nomedia in it.
Copy photobox file to destination dir.
Handle priority between command line and config file.
"""
if args.update:
args.sourcedir = args.source.sourcedir
args.bydir = args.source.bydir
args.bydate = args.source.bydate
args.diary = args.source.diary
args.recursive = args.source.recursive
args.dates = args.source.dates
args.github_pages = args.source.github_pages
elif args.gallery:
args.source.sourcedir = args.sourcedir
args.source.bydir = args.bydir
args.source.bydate = args.bydate
args.source.diary = args.diary
args.source.recursive = args.recursive
args.source.dates = args.dates
args.source.github_pages = args.github_pages
update_config(args)
if args.github_pages:
args.html_suffix = '.html'
else:
args.html_suffix = '.htm'
rootext = os.path.splitext(args.rootarg)[1]
if rootext:
args.rootname = os.path.basename(args.rootarg)
else:
args.rootname = 'index' + args.html_suffix
if args.sourcedir:
args.sourcedir = os.path.abspath(args.sourcedir)
if os.path.splitdrive(args.sourcedir)[0]:
drive, rest = os.path.splitdrive(args.sourcedir)
args.sourcedir = drive.upper() + rest
if not os.path.isdir(args.sourcedir):
error('Directory not found', args.sourcedir)
elif args.gallery and args.diary is False and args.update is None:
error('Directory not found', 'Use --sourcedir')
if args.dest:
args.dest = os.path.abspath(args.dest)
if args.dest is None:
args.dest = args.root
if args.blogger and args.urlblogger is None:
error('No blogger url (--url)')
if args.gallery or args.update:
for exe in ('ffmpeg', 'ffprobe'):
try:
check_output([exe, '-version'])
except FileNotFoundError:
error('File not found', exe)
if args.github_pages:
args.thumbrep = 'thumbnails'
else:
args.thumbrep = '.thumbnails'
args.thumbdir = os.path.join(args.dest, args.thumbrep)
if not os.path.exists(args.thumbdir):
os.mkdir(args.thumbdir)
open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()
favicondst = os.path.join(args.dest, 'favicon.ico')
if not os.path.isfile(favicondst):
faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')
shutil.copyfile(faviconsrc, favicondst)
photoboxdir = os.path.join(args.dest, 'photobox')
if not os.path.exists(photoboxdir):
photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')
shutil.copytree(photoboxsrc, photoboxdir)
if args.dates:
if not (args.gallery or args.create):
pass
if args.dates == 'source':
pass
elif args.dates == 'diary':
if args.create:
error('Incorrect date format', args.dates)
elif re.match('\\d+-\\d+', args.dates):
date1, date2 = args.dates.split('-')
if validate_date(date1) and validate_date(date2):
args.dates = date1, date2
else:
error('Incorrect date format', args.dates)
else:
error('Incorrect date format', args.dates)
def main(argstring=None):
colorama.init()
args = parse_command_line(argstring)
setup_part1(args)
read_config(args)
setup_part2(args)
try:
if args.gallery or args.update:
create_gallery(args)
elif args.create:
create_diary(args)
elif args.blogger:
prepare_for_blogger(args)
elif args.idem:
idempotence(args)
elif args.setcfg:
setconfig_cmd(args)
except KeyboardInterrupt:
warning('Interrupted by user.')
<|reserved_special_token_0|>
<|reserved_special_token_1|>
"""
Make html galleries from media directories. Organize by dates, by subdirs or by
the content of a diary file. The diary file is a markdown file organized by
dates, each day described by a text and some medias (photos and movies).
The diary file can be exported to:
* an html file with the text and subset of medias associated with each day,
* the previous html file extended with all medias in the media directory,
* an html file ready to import into Blogger.
"""
import sys
import os
import argparse
import glob
import shutil
import re
import io
import bisect
import locale
import textwrap
import base64
import datetime
import urllib
from configparser import ConfigParser
from collections import defaultdict
from subprocess import check_output, CalledProcessError, STDOUT
from urllib.request import urlopen
import colorama
import clipboard
import PIL
from PIL import Image, ImageChops
from lxml import objectify
import markdown
USAGE = """
galerie --gallery <root-dir> [--sourcedir <media-dir>]
[--bydir true|false*]
[--bydate true|false*]
[--diary true|false*]
[--recursive true|false*]
[--dates source*|diary|<yyyymmdd-yyyymmdd>]
[--github_pages true|false]
[--dest <directory>]
[--forcethumb]
galerie --update <root-dir>
galerie --create <root-dir> --sourcedir <media-dir>
[--recursive true|false*]
[--dates source*|<yyyymmdd-yyyymmdd>]
galerie --blogger <root-dir> --url <url>
[--check]
[--full]
[--dest <filename>]
Notes:
- * gives default
- all options can be abbreviated if there is no conflict with other options (--gallery --> --gal)
"""
# -- Post objects -------------------------------------------------------------
CAPTION_IMAGE_STYLE = '''\
<style type="text/css">
span { display:inline-table; }
</style>\
'''
STYLE = '''\
<style type="text/css">
p { margin-top:0px; margin-bottom:0px; }
h3 { font-size: 100%%; font-weight: bold; margin-top:0px; margin-bottom:0px; }
</style>
'''
START = f'''\
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8" />
<title>%s</title>
<link rel="icon" href="favicon.ico" />
<meta name="viewport" content="width=device-width">
<link rel="stylesheet" href="photobox/photobox.css">
<script src="photobox/jquery.min.js"></script>
<script src="photobox/jquery.photobox.js"></script>
{CAPTION_IMAGE_STYLE}
{STYLE}
</head>
<body>\
'''
BUTTONS = '''\
<button id="btn_full" type="button" style="position: fixed; width: 50px; top: 20px; right: 20px; background-color:white">Full</button>
<button id="btn_blog" type="button" style="position: fixed; width: 50px; top: 40px; right: 20px; background-color:white">Diary</button>
<button id="btn_text" type="button" style="position: fixed; width: 50px; top: 60px; right: 20px; background-color:white">Text</button>
<script>
$('#btn_full').click(function() {
$("[id^=gallery-blog]").show();
$("[id^=gallery-dcim]").show();
$("div.extra").show();
});
$('#btn_text').click(function() {
$("[id^=gallery-blog]").hide();
$("[id^=gallery-dcim]").hide();
$("div.extra").hide();
});
$('#btn_blog').click(function() {
$("[id^=gallery-blog]").show();
$("[id^=gallery-dcim]").hide();
$("div.extra").hide();
});
</script>
'''
SUBDIR_BACKCOL = '#eee'
END = '</body>\n</html>'
SEP = '<hr color="#C0C0C0" size="1" />'
IMGPOST = '<a href="%s"><img src="%s" width="%d" height="%d" title="%s"/></a>'
VIDPOST = '<a href="%s" rel="video"><img src="%s" width="%d" height="%d" title="%s"/></a>'
IMGPOSTCAPTION = '''\
<span>
<a href="%s"><img src=%s width="%d" height="%d" title="%s"/></a>
<p>%s</p>
</span>
'''
VIDPOSTCAPTION = '''\
<span>
<a href="%s" rel="video"><img src=%s width="%d" height="%d" title="%s"/></a>
<p>%s</p>
</span>
'''
IMGDCIM = '<a href="%s"><img src="%s" width="%d" height="%d" title="%s"/></a>'
VIDDCIM = '<a href="%s" rel="video"><img src="%s" width="%d" height="%d" title="%s"/></a>'
# diminution de l'espace entre images, on utilise :
# "display: block;", "margin-bottom: 0em;" et "font-size: 0;"
# "display: block;" dans img : espacement correct ordi mais pas centré téléphone
# "display: block;" dans a : ok
DIRPOST = '<a href="%s"><img src="%s" width="%d" height="%d" style="border: 1px solid #C0C0C0;" /></a>'
DIRPOSTCAPTION = f'''
<span style="background-color:{SUBDIR_BACKCOL}; margin-bottom: 8px; border: 1px solid #C0C0C0;">
<a href="%s"><img src="%s" width="%d" height="%d" style="border: 1px solid #C0C0C0;" /></a>
<p style="margin-left:2px;">%s</p>
</span>
'''
BIMGPAT = '''\
<div class="separator" style="clear: both; text-align: center;">
<a href="%s" style="clear: left; margin-bottom: 0em; margin-right: 1em; font-size: 0; display: block;">
<img border="0" src="%s" width="640" />
</a></div>
'''
CAPTION_PAT = '''\
<div class="separator" style="clear: both; text-align: center;">
%s
</div>
'''
class Post:
def __init__(self, date, text, medias):
# date: yyyymmdd
self.date = date
self.text = text
self.medias = medias
self.dcim = []
self.daterank = 0
self.extra = False
def __lt__(self, other):
return self.date < other.date
@classmethod
def from_markdown(cls, post):
m = re.match(r'\[(\d\d\d\d/\d\d/\d\d)\]\n*', post[0])
if m:
date = m.group(1).replace('/', '')
if not validate_date(date):
error('Incorrect date value:', date)
del post[0]
else:
error('No date in post', ' '.join(post))
while post and not post[0].strip():
del post[0]
text = ''
while post and not re.match(r'!?\[\]', post[0]):
text += post[0]
del post[0]
# remove empty lines at end
text = re.sub(r'\n\n$', '\n', text)
medias = list()
while post and (match := re.match(r'!?\[\]\((.*)\)', post[0])):
media = match.group(1)
caption = None
del post[0]
if post and not re.match(r'!?\[\]', post[0]):
caption = post[0].strip()
del post[0]
if match.group(0)[0] == '!':
medias.append(PostImage(caption, media))
else:
medias.append(PostVideo(caption, media))
return cls(date, text, medias)
@classmethod
def from_date(cls, date):
dt = datetime.datetime.strptime(date, '%Y%m%d')
datetext = dt.strftime("%A %d %B %Y").capitalize()
post = cls(date, text=datetext, medias=[])
post.daterank = 1
return post
def to_html(self, args, target='regular'):
if target == 'regular':
if args.diary:
return self.to_html_diary(args)
else:
return self.to_html_regular(args)
if target == 'blogger':
return self.to_html_blogger()
def to_html_regular(self, args):
html = list()
if self.text:
# possible with --bydate
html.append(markdown.markdown(self.text))
subdirs, dcim = dispatch_post_items(self.dcim)
if self.dcim:
html.append(SEP)
for media in subdirs:
html.append(media.to_html_dcim(args))
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
return html
def to_html_diary(self, args):
html = list()
if self.extra:
html.append('<div class="extra">')
if self.text:
html.append(markdown.markdown(self.text))
if self.medias:
html.append(f'<div id="gallery-blog-{self.date}-{self.daterank}">')
for media in self.medias:
html.append(media.to_html_post(args))
html.append('</div>')
_, dcim = dispatch_post_items(self.dcim)
if dcim:
html.append(f'<div id="gallery-dcim-{self.date}-{self.daterank}">')
html.append(SEP)
for media in dcim:
html.append(media.to_html_dcim(args))
html.append('</div>')
html.append(SEP)
if self.extra:
html.append('</div>')
return html
def to_html_blogger(self):
html = list()
html.append(markdown.markdown(self.text))
for image in self.medias:
html.append(image.to_html_blogger())
html.append(SEP)
return html
class PostItem:
def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):
self.caption = caption
self.uri = uri
self.basename = os.path.basename(uri)
self.thumb = thumb
self.thumbsize = thumbsize
self.descr = descr
self.resized_url = None
class PostImage(PostItem):
def to_markdown(self):
if not self.caption:
return '' % (self.uri,)
else:
return '\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize, descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *self.thumbsize, descr)
def to_html_blogger(self):
if not self.caption:
return BIMGPAT % (self.uri, self.resized_url)
else:
return f'{BIMGPAT}\n{CAPTION_PAT}' % (self.uri, self.resized_url, self.caption)
class PostVideo(PostItem):
def to_markdown(self):
if not self.caption:
return '[](%s)' % (self.uri,)
else:
return '[](%s)\n%s' % (self.uri, self.caption)
def to_html_post(self, args):
descr = self.descr if args.thumbnails.media_description else ''
if not self.caption:
return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)
else:
return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize, descr, self.caption)
def to_html_dcim(self, args):
descr = self.descr if args.thumbnails.media_description else ''
return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *self.thumbsize, descr)
def to_html_blogger(self):
x = f'<p style="text-align: center;">{self.iframe}</p>'
if not self.caption:
return x
else:
return f'%s\n{CAPTION_PAT}' % (x, self.caption)
class PostSubdir(PostItem):
def to_html_dcim(self, args):
basename = os.path.basename(self.htmname)
posts = self.posts
title = self.caption
print_html(args, posts, title, self.htmname)
if not self.caption:
return DIRPOST % (basename, self.thumb, *self.thumbsize)
else:
return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize, self.caption)
def relative_url(path, root):
"""
returns a normalized url to path relative from root
"""
try:
url = os.path.relpath(path, root)
except:
error('Unable to make a relative url:', url, root)
url = url.replace('\\', '/') if os.sep == '\\' else url
return urllib.parse.quote(url)
# -- Markdown parser ----------------------------------------------------------
def parse_markdown(filename):
"""
Generate Post objects from markdown. Date must be present in each post and
posts must be ordrered by date.
"""
if not os.path.exists(filename):
error('File not found', filename)
posts = list()
with open(filename, encoding='utf-8') as f:
line = next(f)
if line.startswith('# '):
title = line[2:].strip()
record = []
next(f)
else:
title = None
record = [line]
for line in f:
if not line.startswith('___'):
record.append(line)
else:
posts.append(Post.from_markdown(record))
record = []
# set rank of posts in date
daterank = defaultdict(int)
for post in posts:
daterank[post.date] += 1
post.daterank = daterank[post.date]
# check post order
for post1, post2 in zip(posts[:-1], posts[1:]):
if post1.date > post2.date:
error('Posts are not ordered', f'{post1.date} > {post2.date}')
return title, posts
# -- Markdown printer ---------------------------------------------------------
def print_markdown(posts, title, fullname):
with open(fullname, 'wt', encoding='utf-8') as fdst:
print(f'# {title}\n', file=fdst)
for post in posts:
date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'
print(date, file=fdst)
if post.text:
print(file=fdst)
for line in post.text.splitlines():
if not line:
print(file=fdst)
else:
for chunk in textwrap.wrap(line, width=78):
print(chunk, file=fdst)
if post.medias:
print(file=fdst)
for media in post.medias:
print(media.to_markdown(), file=fdst)
print('______', file=fdst)
# -- html printer -------------------------------------------------------------
def compose_html_reduced(args, posts, title, target):
html = list()
html.append(START % title)
for post in posts:
for line in post.to_html(args, target):
html.append(line.strip())
html.append('')
html.append(END)
return html
def compose_html_full(args, posts, title, target):
html = list()
html.append(START % title)
if args.diary:
html.append(BUTTONS)
for post in posts:
for line in post.to_html(args, target):
html.append(line.strip())
html.append('')
html.append('<script>')
for post in posts:
if post.medias:
gallery_id = f'gallery-blog-{post.date}-{post.daterank}'
html.append(gallery_call(args, gallery_id))
if post.dcim:
gallery_id = f'gallery-dcim-{post.date}-{post.daterank}'
html.append(gallery_call(args, gallery_id))
html.append('</script>')
html.append(END)
return html
def print_html_to_stream(args, posts, title, stream, target):
if target == 'regular':
for line in compose_html_full(args, posts, title, target):
print(line, file=stream)
else:
for line in compose_html_reduced(args, posts, title, target):
print(line, file=stream)
def print_html(args, posts, title, html_name, target='regular'):
assert target in ('regular', 'blogger')
with io.StringIO() as f:
print_html_to_stream(args, posts, title, f, target)
html = f.getvalue()
if html_name:
if os.path.exists(html_name):
# test if the generated html is identical to the one already on disk
with open(html_name, 'rt', encoding='utf-8') as f:
html0 = f.read()
if html == html0:
return None
with open(html_name, 'wt', encoding='utf-8') as f:
f.write(html)
return None
else:
return html
GALLERYCALL = """
$('#%s').photobox('a', {
loop:%s,
thumbs:%s,
autoplay:%s,
time:%d,
zoomable:%s ,
rotatable:%s,
wheelNextPrev:%s
});
"""
def gallery_call(args, gallery_id):
return GALLERYCALL.replace('\n', '') % (
gallery_id,
str(args.photobox.loop).lower(),
str(args.photobox.thumbs).lower(),
str(args.photobox.autoplay).lower(),
args.photobox.time,
str(args.photobox.zoomable).lower(),
str(args.photobox.rotatable).lower(),
str(args.photobox.wheelNextPrev).lower(),
)
# -- Media description --------------------------------------------------------
def is_image_file(name):
return os.path.splitext(name)[1].lower() in (
'.jpg', '.jpeg', '.png', '.gif', '.bmp', '.webp', '.tif'
)
def is_video_file(name):
return os.path.splitext(name)[1].lower() in (
'.mp4', '.webm', '.mkv', '.flv', '.m4v', '.avi', '.wmv', '.mts', '.vob', '.divx'
)
def is_media(name):
return is_image_file(name) or is_video_file(name)
def validate_date(datestr):
# datestr = yyyymmdd
try:
datetime.datetime.strptime(datestr, '%Y%m%d')
return True
except ValueError:
return False
def date_from_name(name):
# heuristics
if match := re.search(r'(?:\D|^)(\d{8})(?:\D|$)', name, re.ASCII):
digits = match.group(1)
if validate_date(digits):
return digits
return None
def date_from_item(filename):
if date := date_from_name(filename):
return date
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')
def time_from_name(name):
# heuristics
if match := re.search(r'(?:\D|^)(\d{8})\D(\d{6})(?:\D|$)', name, re.ASCII):
digits = match.group(2)
hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits[4:6])
if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:
return digits
return None
def time_from_item(filename):
if time := time_from_name(filename):
return time
else:
timestamp = os.path.getmtime(filename)
return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')
FFPROBE_CMD = '''\
ffprobe -v error
-select_streams v:0
-show_entries stream=width,height,avg_frame_rate,r_frame_rate:format=duration
-of csv=p=0
'''
def get_image_info(filename):
date = date_from_item(filename)
time = time_from_item(filename)
img = Image.open(filename)
width, height = img.size
size = round(os.path.getsize(filename) / 1e6, 1)
return (date, time, width, height, size), f'{date} {time}, dim={width}x{height}, {size} MB'
def get_video_info(filename, info_fullname):
if os.path.exists(info_fullname):
with open(info_fullname) as f:
info = f.readline().split()
date, time, width, height, size, duration, fps = info[0], info[1], int(info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6])
formatted_info = format_video_info(date, time, width, height, size, duration, fps)
return (date, time, width, height, size, duration, fps), formatted_info
else:
info, formatted_info = make_video_info(filename, info_fullname)
with open(info_fullname, 'wt') as f:
print(' '.join([str(_) for _ in info]), file=f)
return info, formatted_info
def make_video_info(filename, info_fullname):
# ffmpeg must be in path
date = date_from_item(filename)
time = time_from_item(filename)
command = [*FFPROBE_CMD.split(), filename]
try:
output = check_output(command, stderr=STDOUT).decode()
width, height, fps, duration = parse_ffprobe_output(output)
size = round(os.path.getsize(filename) / 1e6, 1)
output = format_video_info(date, time, width, height, size, duration, fps)
except CalledProcessError as e:
output = e.output.decode()
warning(output)
raise
return (date, time, width, height, size, duration, fps), output
def parse_ffprobe_output(ffprobe_output):
# parse first channel data and last line for duration
match = re.match(r'(\d+),(\d+),(\d+)/(\d+),(\d+/\d+).*\s(\d+\.\d+)', ffprobe_output, re.DOTALL)
width = int(match.group(1))
height = int(match.group(2))
fps = round(int(match.group(3)) / int(match.group(4)), 1)
duration = round(float(match.group(6)))
return width, height, fps, duration
def format_video_info(date, time, width, height, size, duration, fps):
return f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'
def format_duration(duration):
mn = duration // 60
sec = duration % 60
if mn <= 59:
return f'm:s={mn:02}:{sec:02}'
else:
hour = mn // 60
mn = mn % 60
return f'h:m:s={hour:02}:{mn:02}:{sec:02}'
# -- Thumbnails (image and video) ---------------------------------------------
def thumbname(name, key):
return key + '-' + name + '.jpg'
def size_thumbnail(width, height, maxdim):
if width >= height:
return maxdim, int(round(maxdim * height / width))
else:
return int(round(maxdim * width / height)), maxdim
def make_thumbnail_image(args, image_name, thumb_name, size):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_image(image_name, thumb_name, size)
def create_thumbnail_image(image_name, thumb_name, size):
imgobj = Image.open(image_name)
if (imgobj.mode != 'RGBA'
and image_name.endswith('.jpg')
and not (image_name.endswith('.gif') and imgobj.info.get('transparency'))
):
imgobj = imgobj.convert('RGBA')
imgobj.thumbnail(size, Image.LANCZOS)
imgobj = imgobj.convert('RGB')
imgobj.save(thumb_name)
def make_thumbnail_video(args, video_name, thumb_name, size, duration):
if os.path.exists(thumb_name) and args.forcethumb is False:
pass
else:
print('Making thumbnail:', thumb_name)
create_thumbnail_video(args, video_name, thumb_name, size, duration)
# base64 video.png
VIDEO_ICON = '''\
iVBORw0KGgoAAAANSUhEUgAAABgAAAAUCAAAAACy3qJfAAAA4UlEQVR4
2m1QoRbCMAy88SaK69xscfuEWiS4SZBIcCCRfAL8An8AcnJzTOJSWdxwzJXSPUoHRPQlueYuucigxm
9kDGaMf8AjopGcYn8LmmyLoihBWBiThb+5MTuUsc3aL56upneZ9sByAIg8Z8BEn96EeZ65iU7DvmbP
PxqDcH6p1swXBC4l6yZskACkTN1WrQr2SlIFhTtgqeZa+zsOogLXegvEocZ5c/W5BcoVNNCg3hSudV
/hEh4ofw6cEb00Km8i0dpRDUXfKiaQOEAdrUDo4dFp9C33jjaRac9/gDF/AlplVYtfWGCjAAAAAElF
TkSuQmCC'''
def create_thumbnail_video(args, filename, thumbname, size, duration):
# ffmpeg must be in path
delay = min(duration - 1, args.thumbnails.thumbdelay)
sizearg = '%dx%d' % size
command = 'ffmpeg -y -v error -itsoffset -%d -i "%s" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s "%s"'
command = command % (delay, filename, sizearg, thumbname)
result = os.system(command)
# add a movie icon to the thumbnail to identify videos
try:
img1 = Image.open(thumbname)
except:
# ffmpeg was unable to save thumbnail
warning('Unable to save thumbnail for', filename)
return
img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))
width, height = img1.size
img1.paste(img2, (6, height - 20 - 6), None)
img1.save(thumbname)
def make_thumbnail_subdir(args, subdir_name, thumb_name, size, items, thumbdir):
# subdir thumbnails are always created as they depend on the content of the
# directory
print('Making thumbnail:', thumb_name)
create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir)
def create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):
def size_thumbnail(width, height, xmax, ymax):
width2 = xmax
height2 = int(round(xmax * height / width))
if height2 < ymax:
width2 = int(round(ymax * width / height))
height2 = ymax
return width2, height2
thumblist = [os.path.basename(item.thumb) for item in items]
widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size, thumblist)
thumbnum = widthnum * heightnum
img = Image.new('RGB', size, SUBDIR_BACKCOL)
for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):
row = ind // widthnum
col = ind % widthnum
img2 = Image.open(os.path.join(thumbdir, thumb))
w, h = size_thumbnail(*img2.size, width[col], height[row])
cropdim = ((w - width[col]) // 2, (h - height[row]) // 2,
(w - width[col]) // 2 + width[col], (h - height[row]) // 2 + height[row])
img2 = img2.resize((w, h), Image.LANCZOS)
img2 = img2.crop(cropdim)
img.paste(img2, (offsetx[col], offsety[row]))
if os.path.exists(thumb_name):
# test if the generated thumbnail is identical to the one already on disk
imgref = Image.open(thumb_name)
# must save and reload before comparing
byteio = io.BytesIO()
img.save(byteio, "JPEG")
byteio.seek(0)
imgnew = Image.open(byteio)
diff = ImageChops.difference(imgnew, imgref)
if diff.getbbox() is None:
return
img.save(thumb_name)
def mosaic_geometry(size, thumblist):
if len(thumblist) == 1:
widthnum = 1
heightnum = 1
elif len(thumblist) <= 3:
widthnum = 1
heightnum = 2
elif len(thumblist) <= 8:
widthnum = 2
heightnum = 2
else:
widthnum = 3
heightnum = 3
if widthnum == 1:
width = [size[0] - 2]
else:
width = [size[0] // widthnum - 2] * (widthnum - 1)
width.append(size[0] - (1 + sum(width) + 2 * len(width) + 1))
if heightnum == 1:
height = [size[1] - 2]
else:
height = [size[1] // heightnum - 2] * (heightnum - 1)
height.append(size[1] - (1 + sum(height) + 2 * len(height) + 1))
offsetx = [1]
for w in width[:-1]:
offsetx.append(offsetx[-1] + w + 2)
offsety = [1]
for h in height[:-1]:
offsety.append(offsety[-1] + h + 2)
return widthnum, heightnum, width, height, offsetx, offsety
def list_of_htmlfiles(args, posts):
htmlist = list()
htmlist.append(os.path.join(args.dest, args.rootname))
for post in posts:
htmlist.extend(list_of_htmlfiles_in_items(post.dcim))
return htmlist
def list_of_htmlfiles_in_items(itemlist):
htmlist = list()
for item in itemlist:
if type(item) == PostSubdir:
htmlist.append(item.htmname)
htmlist.extend(list_of_htmlfiles_in_items(item.sublist))
return htmlist
def list_of_thumbnails(posts, diary=False):
thumblist = list()
for post in posts:
thumblist.extend(list_of_thumbnails_in_items(post.medias))
if diary is False:
thumblist.extend(list_of_thumbnails_in_items(post.dcim))
return thumblist
def list_of_thumbnails_in_items(itemlist):
thumblist = list()
for item in itemlist:
if type(item) == PostSubdir:
thumblist.append(os.path.basename(item.thumb))
thumblist.extend(list_of_thumbnails_in_items(item.sublist))
else:
thumblist.append(os.path.basename(item.thumb))
return thumblist
def purge_htmlfiles(args, posts):
"""
Purge root dir from irrelevant html files
"""
htmlist = list_of_htmlfiles(args, posts)
html_to_remove = list()
for fullname in glob.glob(os.path.join(args.root, '*.htm*')):
if fullname not in htmlist:
html_to_remove.append(fullname)
if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:
inpt = 'x'
while inpt not in 'yn':
inpt = input(f'{len(html_to_remove)} html files to remove. Continue [y|n]? ').lower()
if inpt == 'n':
return
for name in html_to_remove:
print('Removing html files', name)
os.remove(name)
def purge_thumbnails(args, thumbdir, posts, diary=False):
"""
Purge thumbnail dir from irrelevant thumbnails
"""
thumblist = list_of_thumbnails(posts, diary)
thumbs_to_remove = list()
for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):
if os.path.basename(fullname) not in thumblist:
thumbs_to_remove.append(fullname)
if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:
inpt = 'x'
while inpt not in 'yn':
inpt = input(f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? ').lower()
if inpt == 'n':
return
for name in thumbs_to_remove:
print('Removing thumbnail', name)
os.remove(name)
info_fullname = os.path.splitext(name)[0] + '.info'
if os.path.exists(info_fullname):
os.remove(info_fullname)
# -- List of medias helpers ---------------------------------------------------
def is_media_within_dates(fullname, dates):
if is_media(fullname):
if type(dates) == tuple:
return dates[0] <= date_from_item(fullname) <= dates[1]
else:
return True
else:
return False
def sorted_listdir(filelist):
like_windows_explorer = True
if not filelist:
return filelist
if like_windows_explorer:
maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)
def keyfunc(name):
root, ext = os.path.splitext(name.lower())
return root.ljust(maxlen, ' ') + ext
else:
keyfunc = str.lower
return sorted(filelist, key=keyfunc)
def list_of_files(sourcedir, recursive):
"""
Return the list of full paths for files in source directory
"""
result = list()
if recursive is False:
listdir = sorted_listdir(os.listdir(sourcedir))
if '.nomedia' not in listdir:
for basename in listdir:
result.append(os.path.join(sourcedir, basename))
else:
for root, dirs, files in os.walk(sourcedir):
if '.nomedia' not in files:
for basename in sorted_listdir(files):
result.append(os.path.join(root, basename))
return result
def list_of_medias(args, sourcedir, recursive):
"""
Return the list of full paths for pictures and movies in source directory
"""
files = list_of_files(sourcedir, recursive)
return [_ for _ in files if is_media_within_dates(_, args.dates)]
def list_of_medias_ext(args, sourcedir):
"""
Return the list of full paths for pictures and movies in source directory
plus subdirectories containing media
"""
result = list()
listdir = sorted_listdir(os.listdir(sourcedir))
if '.nomedia' not in listdir:
for basename in listdir:
fullname = os.path.join(sourcedir, basename)
if os.path.isdir(fullname) and basename != '$RECYCLE.BIN' and contains_media(args, fullname):
result.append(fullname)
else:
if is_media_within_dates(fullname, args.dates):
result.append(fullname)
return result
def contains_media(args, dirname):
for root, dirs, files in os.walk(dirname):
if '.nomedia' not in files:
for basename in files:
if is_media_within_dates(os.path.join(root, basename), args.dates):
return True
else:
return False
def dispatch_post_items(list_of_post_items):
subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]
medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]
return subdirs, medias
# -- Creation of gallery element ----------------------------------------------
def create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):
if os.path.isfile(media_fullname):
if is_image_file(media_fullname):
return create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax)
else:
return create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax)
else:
return create_item_subdir(args, media_fullname, sourcedir, thumbdir, key, thumbmax)
def create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
try:
info, infofmt = get_image_info(media_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)
return PostImage(None, media_fullname, '/'.join((args.thumbrep, thumb_basename)),
thumbsize, infofmt)
except PIL.UnidentifiedImageError:
# corrupted image
warning('Unable to read image', media_fullname)
return None
def create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'
try:
info, infofmt = get_video_info(media_fullname, info_fullname)
infofmt = media_basename + ': ' + infofmt
thumbsize = size_thumbnail(info[2], info[3], thumbmax)
make_thumbnail_video(args, media_fullname, thumb_fullname, thumbsize, duration=info[5])
return PostVideo(None, media_fullname, '/'.join((args.thumbrep, thumb_basename)),
thumbsize, infofmt)
except CalledProcessError:
# corrupted video
warning('Unable to read video', media_fullname)
return None
def create_item_subdir(args, media_fullname, sourcedir, thumbdir, key, thumbmax):
media_basename = os.path.basename(media_fullname)
media_relname = relative_name(media_fullname, sourcedir)
thumb_basename = thumbname(media_relname, key)
thumb_fullname = os.path.join(thumbdir, thumb_basename)
info, infofmt = None, None
thumbsize = (thumbmax, int(round(thumbmax / 640 * 480)))
medias_ext = list_of_medias_ext(args, media_fullname)
if not medias_ext:
return None
item = PostSubdir(None, media_fullname, '/'.join((args.thumbrep, thumb_basename)),
thumbsize, infofmt)
item.htmname = os.path.join(os.path.dirname(thumbdir), media_relname + args.html_suffix)
if args.thumbnails.subdir_caption:
item.caption = media_basename
else:
item.caption = ''
_, posts = make_posts(args, media_fullname)
item.posts = posts
items = [item for post in posts for item in post.dcim]
item.sublist = items
make_thumbnail_subdir(args, media_fullname, thumb_fullname, thumbsize, items, thumbdir)
return item
def relative_name(media_fullname, sourcedir):
"""
/Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg
-->
deeper2_deepest_OCT_20000112_000004.jpg
/Gilles/Dev/journal/tests/subdir/deeper2/deepest
-->
deeper2_deepest
"""
x = os.path.relpath(media_fullname, sourcedir)
x = x.replace('\\', '_').replace('/', '_').replace('#', '_')
return x
# -- Creation of posts --------------------------------------------------------
def make_posts(args, dirname):
if args.diary is True:
if not args.sourcedir:
return make_posts_from_diary(args)
else:
return make_posts_from_diary_and_dir(args)
elif args.bydate is False:
return make_posts_from_subdir(args, dirname)
else:
return make_posts_from_subdir_and_date(args, dirname)
def make_posts_from_diary(args):
md_filename = os.path.join(args.root, 'index.md')
if os.path.exists(md_filename):
title, posts = parse_markdown(md_filename)
else:
error('File not found', md_filename)
for post in posts:
for media in post.medias:
media_fullname = os.path.join(args.root, media.uri)
item = create_item(args, media_fullname, args.root, args.thumbdir, 'post', 400)
media.thumb = item.thumb
media.thumbsize = item.thumbsize
media.descr = item.descr
return title, posts
def create_items_by_date(args, medias, posts):
# list of required dates
if args.dates == 'diary':
required_dates = {post.date for post in posts}
else:
required_dates = {date_from_item(media) for media in medias}
if type(args.dates) == tuple:
date1, date2 = args.dates
required_dates = {date for date in required_dates if date1 <= date <= date2}
bydate = defaultdict(list)
for media_fullname in medias:
date = date_from_item(media_fullname)
if date in required_dates:
item = create_item(args, media_fullname, args.sourcedir, args.thumbdir, 'dcim', 300)
if item:
bydate[date].append(item)
for date, liste in bydate.items():
liste.sort(key=lambda item: time_from_item(item.uri))
return bydate
def make_posts_from_diary_and_dir(args):
title, posts = make_posts_from_diary(args)
# list of all pictures and movies
medias = list_of_medias(args, args.sourcedir, args.recursive)
bydate = create_items_by_date(args, medias, posts)
# make list of extra dates (not in posts)
extradates = set(bydate) - {post.date for post in posts}
# complete posts with extra dates
for date in extradates:
post = Post.from_date(date)
post.extra = True
bisect.insort(posts, post)
# several posts can have the same date, only the first one is completed with dcim medias
for post in posts:
if post.date in bydate and post.daterank == 1:
post.dcim = bydate[post.date]
return title, posts
def make_posts_from_subdir(args, dirname):
# list of pictures and movies plus subdirectories
if args.bydir is False:
medias_ext = list_of_medias(args, dirname, args.recursive)
else:
medias_ext = list_of_medias_ext(args, dirname)
#required_dates = get_required_dates(args, medias_ext, posts=None)
#medias_ext_bis = []
#for media in medias_ext:
# if complies_with_required_dates(media):
# medias_ext_bis.append(media)
# complete posts
postmedias = list()
for item in medias_ext:
postmedia = create_item(args, item, args.sourcedir, args.thumbdir, 'dcim', 300)
if postmedia is not None:
postmedias.append(postmedia)
post = Post(date='00000000', text='', medias=[])
post.dcim = postmedias
posts = [post]
title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.sourcedir)[0]
return title, posts
def make_posts_from_subdir_and_date(args, dirname):
# list of all pictures and movies
if args.bydir is False:
medias = list_of_medias(args, dirname, args.recursive)
subdirs = []
else:
medias_ext = list_of_medias_ext(args, dirname)
medias = [_ for _ in medias_ext if is_media(_)]
subdirs = [_ for _ in medias_ext if not is_media(_)]
# create list of posts with a single post containing all subdirs
posts = list()
items = list()
for media_fullname in subdirs:
item = create_item(args, media_fullname, args.sourcedir, args.thumbdir, 'dcim', 300)
if item:
items.append(item)
if items:
post = Post(date='00000000', text='', medias=[])
post.dcim = items
posts.append(post)
bydate = create_items_by_date(args, medias, posts)
# add dates
for date in sorted(bydate):
post = Post.from_date(date)
post.dcim = bydate[post.date]
posts.append(post)
title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.sourcedir)[0]
return title, posts
# -- Creation of html page from directory tree --------------------------------
def create_gallery(args):
title, posts = make_posts(args, args.sourcedir)
print_html(args, posts, title, os.path.join(args.dest, args.rootname), 'regular')
purge_htmlfiles(args, posts)
if args.diary and not args.sourcedir:
purge_thumbnails(args, args.thumbdir, posts, diary=True)
else:
purge_thumbnails(args, args.thumbdir, posts)
# -- Creation of diary from medias --------------------------------------------
def create_diary(args):
# list of all pictures and movies
medias = list_of_medias(args, args.sourcedir, args.recursive)
# list of required dates
if args.dates == 'diary':
assert 0
else:
required_dates = {date_from_item(media) for media in medias}
if type(args.dates) == tuple:
date1, date2 = args.dates
required_dates = {date for date in required_dates if date1 <= date <= date2}
title = args.sourcedir
posts = list()
for date in sorted(required_dates):
posts.append(Post.from_date(date))
os.makedirs(args.root, exist_ok=True)
print_markdown(posts, title, os.path.join(args.root, 'index.md'))
# -- Export to blogger---------------------------------------------------------
def online_images_url(args):
try:
if args.urlblogger.startswith('http:') or args.urlblogger.startswith('https:'):
with urlopen(args.urlblogger) as u:
buffer = u.read()
else:
with open(args.urlblogger, 'rb') as f:
buffer = f.read()
except:
error('Unable to read url', args.urlblogger)
buffer = buffer.decode('utf-8')
online_images = dict()
for match in re.finditer('<div class="separator"((?!<div).)*?</div>', buffer, flags=re.DOTALL):
div_separator = match.group(0)
div_separator = div_separator.replace(' ', '')
elem_div = objectify.fromstring(div_separator)
for elem_a in elem_div.iterchildren(tag='a'):
href = elem_a.get("href")
thumb = elem_a.img.get("src")
online_images[os.path.basename(href)] = (href, thumb)
# video insertion relies only on video order
online_videos = list()
for match in re.finditer('<iframe allowfullscreen="allowfullscreen".*?</iframe>', buffer, flags=re.DOTALL):
iframe = match.group(0)
online_videos.append(iframe)
return online_images, online_videos
def compare_image_buffers(imgbuf1, imgbuf2):
"""
return True if images read on file are identical, False otherwise
"""
with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:
img1 = Image.open(imgio1)
img2 = Image.open(imgio2)
diff = ImageChops.difference(img1, img2)
return not diff.getbbox()
def check_images(args, posts, online_images):
result = True
for post in posts:
for media in post.medias:
if type(media) is PostImage:
if media.basename in online_images:
with open(os.path.join(args.root, media.uri), 'rb') as f:
imgbuf1 = f.read()
try:
with urlopen(online_images[media.basename][0]) as u:
imgbuf2 = u.read()
except FileNotFoundError:
print('File not found', online_images[media.basename][0])
next
if compare_image_buffers(imgbuf1, imgbuf2) is False:
print('Files are different, upload', media.basename)
else:
if 1:
print('File already online', media.basename)
else:
print('File is absent, upload', media.basename)
result = False
elif type(media) is PostVideo:
# no check for the moment
print('Video not checked', media.basename)
else:
assert False
return result
def compose_blogger_html(args, title, posts, imgdata, online_videos):
""" Compose html with blogger image urls
"""
for post in posts:
for media in post.medias:
if type(media) is PostImage:
if media.uri not in imgdata:
print('Image missing: ', media.uri)
else:
img_url, resized_url = imgdata[media.uri]
media.uri = img_url
media.resized_url = resized_url
elif type(media) is PostVideo:
if not online_videos:
print('Video missing: ', media.uri)
else:
media.iframe = online_videos[0]
del online_videos[0]
else:
assert False
return print_html(args, posts, title, '', target='blogger')
def prepare_for_blogger(args):
"""
Export blogger html to clipboard.
If --full, export complete html, otherwise export html extract ready to
paste into blogger edit mode.
"""
title, posts = parse_markdown(os.path.join(args.root, 'index.md'))
online_images, online_videos = online_images_url(args)
if args.check_images and check_images(args, posts, online_images) is False:
pass
html = compose_blogger_html(args, title, posts, online_images, online_videos)
if args.full is False:
html = re.search('<body>(.*)?</body>', html, flags=re.DOTALL).group(1)
html = re.sub('<script>.*?</script>', '', html, flags=re.DOTALL)
html = STYLE.replace('%%', '%') + html
if args.dest:
with open(args.dest, 'wt', encoding='utf-8') as f:
f.write(html)
else:
clipboard.copy(html)
# -- Other commands -----------------------------------------------------------
def idempotence(args):
"""
For testing identity between a diary file and the fle obtained after reading
and printing it. See testing.
"""
title, posts = parse_markdown(os.path.join(args.root, 'index.md'))
print_markdown(posts, title, os.path.join(args.dest, 'index.md'))
# -- Configuration file ------------------------------------------------------
# The following docstring is used to create the configuration file.
CONFIG_DEFAULTS = """\
[source]
; source directory
; value: valid path
sourcedir = .
; one web page per directory
; value: true or false
bydir = false
; dispatch medias by dates
; value: true or false
bydate = false
; include text and medias from diary file
; value: true or false
diary = false
; include subdirectories recursively (used when bydir is false)
; value: true or false
recursive = false
; interval of dates to include
; value: source|diary|yyyymmdd-yyyymmdd or empty (= source)
dates =
; github Pages compatibility (.htlml extension and no dot in directory names)
; value: true or false
github_pages = false
[thumbnails]
; specifies whether or not the gallery displays media description (size, dimension, etc)
; value: true or false
media_description = true
; specifies whether subdir captions are empty or the name of the subdir
; value: true or false
subdir_caption = true
; timestamp of thumbnail in video
; value: number of seconds
thumbdelay = 5
; maximum number of thumbnails to remove without user confirmation
; value: integer
threshold_thumbs = 10
[photobox]
; Allows to navigate between first and last images
; value: true or false
loop = false
; Show gallery thumbnails below the presented photo
; value: true or false
thumbs = true
; Should autoplay on first time or not
; value: true or false
autoplay = false
; Autoplay interval (less than 1000 will hide the autoplay button)
; value: milliseconds
time = 3000
; Disable/enable mousewheel image zooming
; value: true or false
zoomable = true
; Allow rotation of the image
; value: true or false
rotatable = true
; Change image using mousewheel left/right
; value: true or false
wheelNextPrev = true
"""
class MyConfigParser (ConfigParser):
"""Add input checking."""
def __init__(self):
ConfigParser.__init__(self, inline_comment_prefixes=(';',))
def error(self, section, entry):
error('Missing or incorrect config value:', '[%s]%s' % (section, entry))
def getint(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getint(self, section, entry)
else:
return ConfigParser.getint(self, section, entry, raw=True, vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def getboolean(self, section, entry, default=None):
try:
if default is None:
return ConfigParser.getboolean(self, section, entry)
else:
return ConfigParser.getboolean(self, section, entry, raw=True, vars=None, fallback=default)
except Exception as e:
print(e)
self.error(section, entry)
def configfilename(params):
return os.path.join(params.root, '.config.ini')
def createconfig(config_filename):
with open(config_filename, 'wt') as f:
f.writelines(CONFIG_DEFAULTS)
def read_config(params):
config_filename = configfilename(params)
try:
if not os.path.exists(config_filename) or params.resetcfg:
createconfig(config_filename)
except:
error('Error creating configuration file')
try:
getconfig(params, config_filename)
except Exception as e:
error('Error reading configuration file.', str(e), 'Use --resetcfg')
def getconfig(options, config_filename):
class Section:
pass
options.source = Section()
options.thumbnails = Section()
options.photobox = Section()
config = MyConfigParser()
config.read(config_filename)
# [source]
options.source.sourcedir = config.get('source', 'sourcedir')
options.source.bydir = config.getboolean('source', 'bydir')
options.source.bydate = config.getboolean('source', 'bydate')
options.source.diary = config.getboolean('source', 'diary')
options.source.recursive = config.getboolean('source', 'recursive')
options.source.dates = config.get('source', 'dates')
options.source.github_pages = config.getboolean('source', 'github_pages', default=False)
# [thumbnails]
options.thumbnails.media_description = config.getboolean('thumbnails', 'media_description')
options.thumbnails.subdir_caption = config.getboolean('thumbnails', 'subdir_caption')
options.thumbnails.thumbdelay = config.getint('thumbnails', 'thumbdelay')
options.thumbnails.threshold_thumbs = config.getint('thumbnails', 'threshold_thumbs')
options.thumbnails.threshold_htmlfiles = config.getint('thumbnails', 'threshold_htmlfiles', default=3)
# [photobox]
options.photobox.loop = config.getboolean('photobox', 'loop')
options.photobox.thumbs = config.getboolean('photobox', 'thumbs')
options.photobox.autoplay = config.getboolean('photobox', 'autoplay')
options.photobox.time = config.getint('photobox', 'time')
options.photobox.zoomable = config.getboolean('photobox', 'zoomable')
options.photobox.rotatable = config.getboolean('photobox', 'rotatable')
options.photobox.wheelNextPrev = config.getboolean('photobox', 'wheelNextPrev')
def setconfig(cfgname, section, key, value):
config = MyConfigParser()
config.read(cfgname)
config.set(section, key, value)
with open(cfgname, 'wt') as configfile:
config.write(configfile)
def setconfig_cmd(args):
config_filename = configfilename(args)
setconfig(config_filename, *args.setcfg)
def update_config(args):
# update only entries which can be modified from the command line (source section)
updates = (
('sourcedir', args.sourcedir),
('bydir', BOOL[args.bydir]),
('bydate', BOOL[args.bydate]),
('diary', BOOL[args.diary]),
('recursive', BOOL[args.recursive]),
('dates', args.dates),
('github_pages', BOOL[args.github_pages]),
)
# manual update to keep comments
cfgname = configfilename(args)
with open(cfgname) as f:
cfglines = [_.strip() for _ in f.readlines()]
for key, value in updates:
for iline, line in enumerate(cfglines):
if line.startswith(key):
cfglines[iline] = f'{key} = {value}'
break
with open(cfgname, 'wt') as f:
for line in cfglines:
print(line, file=f)
# -- Error handling -----------------------------------------------------------
def warning(*msg):
print(colorama.Fore.YELLOW + colorama.Style.BRIGHT +
' '.join(msg),
colorama.Style.RESET_ALL)
# Every error message error must be declared here to give a return code to the error
ERRORS = '''\
File not found
Directory not found
No date in post
Incorrect date value:
Posts are not ordered
Unable to read url
No image source (--sourcedir)
No blogger url (--url)
Missing or incorrect config value:
Error creating configuration file
Error reading configuration file.
Incorrect date format
Incorrect parameters:
'''
def errorcode(msg):
return ERRORS.splitlines().index(msg) + 1
def error(*msg):
print(colorama.Fore.RED + colorama.Style.BRIGHT +
' '.join(msg),
colorama.Style.RESET_ALL)
sys.exit(errorcode(msg[0]))
# -- Main ---------------------------------------------------------------------
BOOL = ('false', 'true')
def parse_command_line(argstring):
parser = argparse.ArgumentParser(description=None, usage=USAGE)
agroup = parser.add_argument_group('Commands')
xgroup = agroup.add_mutually_exclusive_group()
xgroup.add_argument('--gallery', help='source in --sourcedir',
action='store', metavar='<root-dir>')
agroup.add_argument('--update', help='updates gallery with parameters in config file',
action='store', metavar='<root-dir>')
xgroup.add_argument('--create', help='create journal from medias in --sourcedir',
action='store', metavar='<root-dir>')
# testing
xgroup.add_argument('--resetcfg', help='reset config file to defaults',
action='store', metavar='<root-dir>')
xgroup.add_argument('--setcfg', help=argparse.SUPPRESS,
action='store', nargs=4, metavar='<root-dir>')
xgroup.add_argument('--idem', help=argparse.SUPPRESS,
action='store', metavar='<root-dir>')
# blogger
xgroup.add_argument('--blogger',
help='input md, html blogger ready in clipboard',
action='store', metavar='<root-dir>')
agroup = parser.add_argument_group('Parameters')
agroup.add_argument('--bydir', help='organize gallery by subdirectory',
action='store', default=None, choices=BOOL)
agroup.add_argument('--bydate', help='organize gallery by date',
action='store', default=None, choices=BOOL)
agroup.add_argument('--diary', help='organize gallery using markdown file diary',
action='store', default=None, choices=BOOL)
agroup.add_argument('--recursive', help='--sourcedir scans recursively',
action='store', default=None, choices=BOOL)
agroup.add_argument('--dates', help='dates interval',
action='store', default=None)
agroup.add_argument('--sourcedir', help='media directory',
action='store', default=None)
agroup.add_argument('--github_pages', help='github Pages compatibility',
action='store', default=None, choices=BOOL)
agroup.add_argument('--dest', help='output directory',
action='store')
agroup.add_argument('--forcethumb', help='force calculation of thumbnails',
action='store_true', default=False)
agroup.add_argument('--full', help='full html (versus blogger ready html)',
action='store_true', default=False)
agroup.add_argument('--check', dest='check_images', help='check availability of medias on blogger',
action='store_true')
agroup.add_argument('--url', dest='urlblogger', help='blogger post url',
action='store')
if argstring is None:
print('Type "galerie -h" for help')
sys.exit(1)
else:
args = parser.parse_args(argstring.split())
if args.update and (args.bydir or args.bydate or args.diary or args.sourcedir or
args.recursive or args.dates or args.github_pages):
error('Incorrect parameters:',
'--update cannot be used with creation parameters, use explicit command')
args.bydir = args.bydir == 'true'
args.bydate = args.bydate == 'true'
args.diary = args.diary == 'true'
args.recursive = args.recursive == 'true'
args.dates = 'source' if (args.dates is None) else args.dates
args.github_pages = args.github_pages == 'true'
args.root = (
args.create or args.gallery or args.update
or args.blogger or args.idem or args.resetcfg
)
if args.setcfg:
args.root = args.setcfg[0]
args.setcfg = args.setcfg[1:]
return args
def setup_part1(args):
"""
Made before reading config file (config file located in args.root).
Check and normalize root path.
"""
args.rootarg = args.root
rootext = os.path.splitext(args.rootarg)[1]
if rootext == '':
pass
else:
args.root = os.path.dirname(args.root)
if args.root:
args.root = os.path.abspath(args.root)
if not os.path.isdir(args.root):
if args.gallery:
os.mkdir(args.root)
else:
error('Directory not found', args.root)
def setup_part2(args):
"""
Made after reading config file.
Check for ffmpeg in path.
Create .thumbnails dir if necessary and create .nomedia in it.
Copy photobox file to destination dir.
Handle priority between command line and config file.
"""
if args.update:
args.sourcedir = args.source.sourcedir
args.bydir = args.source.bydir
args.bydate = args.source.bydate
args.diary = args.source.diary
args.recursive = args.source.recursive
args.dates = args.source.dates
args.github_pages = args.source.github_pages
elif args.gallery:
args.source.sourcedir = args.sourcedir
args.source.bydir = args.bydir
args.source.bydate = args.bydate
args.source.diary = args.diary
args.source.recursive = args.recursive
args.source.dates = args.dates
args.source.github_pages = args.github_pages
update_config(args)
if args.github_pages:
args.html_suffix = '.html'
else:
args.html_suffix = '.htm'
rootext = os.path.splitext(args.rootarg)[1]
if rootext:
args.rootname = os.path.basename(args.rootarg)
else:
args.rootname = 'index' + args.html_suffix
if args.sourcedir:
args.sourcedir = os.path.abspath(args.sourcedir)
if os.path.splitdrive(args.sourcedir)[0]:
drive, rest = os.path.splitdrive(args.sourcedir)
args.sourcedir = drive.upper() + rest
if not os.path.isdir(args.sourcedir):
error('Directory not found', args.sourcedir)
else:
if args.gallery and args.diary is False and args.update is None:
error('Directory not found', 'Use --sourcedir')
if args.dest:
args.dest = os.path.abspath(args.dest)
if args.dest is None:
args.dest = args.root
if args.blogger and args.urlblogger is None:
error('No blogger url (--url)')
if args.gallery or args.update:
# check for ffmpeg and ffprobe in path
for exe in ('ffmpeg', 'ffprobe'):
try:
check_output([exe, '-version'])
except FileNotFoundError:
error('File not found', exe)
if args.github_pages:
args.thumbrep = 'thumbnails'
else:
args.thumbrep = '.thumbnails'
args.thumbdir = os.path.join(args.dest, args.thumbrep)
if not os.path.exists(args.thumbdir):
os.mkdir(args.thumbdir)
open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()
favicondst = os.path.join(args.dest, 'favicon.ico')
if not os.path.isfile(favicondst):
faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')
shutil.copyfile(faviconsrc, favicondst)
photoboxdir = os.path.join(args.dest, 'photobox')
if not os.path.exists(photoboxdir):
photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')
shutil.copytree(photoboxsrc, photoboxdir)
if args.dates:
if not(args.gallery or args.create):
# silently ignored for the moment, otherwise all other commands will
# launch a wanrning or an error on the default --dates value
pass
if args.dates == 'source':
pass
elif args.dates == 'diary':
if args.create:
error('Incorrect date format', args.dates)
elif re.match(r'\d+-\d+', args.dates):
date1, date2 = args.dates.split('-')
if validate_date(date1) and validate_date(date2):
args.dates = date1, date2
else:
error('Incorrect date format', args.dates)
else:
error('Incorrect date format', args.dates)
def main(argstring=None):
colorama.init()
args = parse_command_line(argstring)
setup_part1(args)
read_config(args)
setup_part2(args)
try:
if args.gallery or args.update:
create_gallery(args)
elif args.create:
create_diary(args)
elif args.blogger:
prepare_for_blogger(args)
elif args.idem:
idempotence(args)
elif args.setcfg:
setconfig_cmd(args)
except KeyboardInterrupt:
warning('Interrupted by user.')
if __name__ == '__main__':
main(' '.join(sys.argv[1:]))
|
flexible
|
{
"blob_id": "6018f35afc6646d0302ca32de649ffe7d544a765",
"index": 3377,
"step-1": "<mask token>\n\n\nclass Post:\n\n def __init__(self, date, text, medias):\n self.date = date\n self.text = text\n self.medias = medias\n self.dcim = []\n self.daterank = 0\n self.extra = False\n\n def __lt__(self, other):\n return self.date < other.date\n\n @classmethod\n def from_markdown(cls, post):\n m = re.match('\\\\[(\\\\d\\\\d\\\\d\\\\d/\\\\d\\\\d/\\\\d\\\\d)\\\\]\\\\n*', post[0])\n if m:\n date = m.group(1).replace('/', '')\n if not validate_date(date):\n error('Incorrect date value:', date)\n del post[0]\n else:\n error('No date in post', ' '.join(post))\n while post and not post[0].strip():\n del post[0]\n text = ''\n while post and not re.match('!?\\\\[\\\\]', post[0]):\n text += post[0]\n del post[0]\n text = re.sub('\\\\n\\\\n$', '\\n', text)\n medias = list()\n while post and (match := re.match('!?\\\\[\\\\]\\\\((.*)\\\\)', post[0])):\n media = match.group(1)\n caption = None\n del post[0]\n if post and not re.match('!?\\\\[\\\\]', post[0]):\n caption = post[0].strip()\n del post[0]\n if match.group(0)[0] == '!':\n medias.append(PostImage(caption, media))\n else:\n medias.append(PostVideo(caption, media))\n return cls(date, text, medias)\n\n @classmethod\n def from_date(cls, date):\n dt = datetime.datetime.strptime(date, '%Y%m%d')\n datetext = dt.strftime('%A %d %B %Y').capitalize()\n post = cls(date, text=datetext, medias=[])\n post.daterank = 1\n return post\n\n def to_html(self, args, target='regular'):\n if target == 'regular':\n if args.diary:\n return self.to_html_diary(args)\n else:\n return self.to_html_regular(args)\n if target == 'blogger':\n return self.to_html_blogger()\n\n def to_html_regular(self, args):\n html = list()\n if self.text:\n html.append(markdown.markdown(self.text))\n subdirs, dcim = dispatch_post_items(self.dcim)\n if self.dcim:\n html.append(SEP)\n for media in subdirs:\n html.append(media.to_html_dcim(args))\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n html.append(SEP)\n return html\n\n def to_html_diary(self, args):\n html = list()\n if self.extra:\n html.append('<div class=\"extra\">')\n if self.text:\n html.append(markdown.markdown(self.text))\n if self.medias:\n html.append(f'<div id=\"gallery-blog-{self.date}-{self.daterank}\">')\n for media in self.medias:\n html.append(media.to_html_post(args))\n html.append('</div>')\n _, dcim = dispatch_post_items(self.dcim)\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n html.append(SEP)\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n html.append(SEP)\n if self.extra:\n html.append('</div>')\n return html\n\n def to_html_blogger(self):\n html = list()\n html.append(markdown.markdown(self.text))\n for image in self.medias:\n html.append(image.to_html_blogger())\n html.append(SEP)\n return html\n\n\nclass PostItem:\n\n def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):\n self.caption = caption\n self.uri = uri\n self.basename = os.path.basename(uri)\n self.thumb = thumb\n self.thumbsize = thumbsize\n self.descr = descr\n self.resized_url = None\n\n\nclass PostImage(PostItem):\n\n def to_markdown(self):\n if not self.caption:\n return '' % (self.uri,)\n else:\n return '\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,\n descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *\n self.thumbsize, descr)\n\n def to_html_blogger(self):\n if not self.caption:\n return BIMGPAT % (self.uri, self.resized_url)\n else:\n return f'{BIMGPAT}\\n{CAPTION_PAT}' % (self.uri, self.\n resized_url, self.caption)\n\n\nclass PostVideo(PostItem):\n\n def to_markdown(self):\n if not self.caption:\n return '[](%s)' % (self.uri,)\n else:\n return '[](%s)\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,\n descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *\n self.thumbsize, descr)\n\n def to_html_blogger(self):\n x = f'<p style=\"text-align: center;\">{self.iframe}</p>'\n if not self.caption:\n return x\n else:\n return f'%s\\n{CAPTION_PAT}' % (x, self.caption)\n\n\nclass PostSubdir(PostItem):\n\n def to_html_dcim(self, args):\n basename = os.path.basename(self.htmname)\n posts = self.posts\n title = self.caption\n print_html(args, posts, title, self.htmname)\n if not self.caption:\n return DIRPOST % (basename, self.thumb, *self.thumbsize)\n else:\n return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize,\n self.caption)\n\n\n<mask token>\n\n\ndef parse_markdown(filename):\n \"\"\"\n Generate Post objects from markdown. Date must be present in each post and\n posts must be ordrered by date.\n \"\"\"\n if not os.path.exists(filename):\n error('File not found', filename)\n posts = list()\n with open(filename, encoding='utf-8') as f:\n line = next(f)\n if line.startswith('# '):\n title = line[2:].strip()\n record = []\n next(f)\n else:\n title = None\n record = [line]\n for line in f:\n if not line.startswith('___'):\n record.append(line)\n else:\n posts.append(Post.from_markdown(record))\n record = []\n daterank = defaultdict(int)\n for post in posts:\n daterank[post.date] += 1\n post.daterank = daterank[post.date]\n for post1, post2 in zip(posts[:-1], posts[1:]):\n if post1.date > post2.date:\n error('Posts are not ordered', f'{post1.date} > {post2.date}')\n return title, posts\n\n\ndef print_markdown(posts, title, fullname):\n with open(fullname, 'wt', encoding='utf-8') as fdst:\n print(f'# {title}\\n', file=fdst)\n for post in posts:\n date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'\n print(date, file=fdst)\n if post.text:\n print(file=fdst)\n for line in post.text.splitlines():\n if not line:\n print(file=fdst)\n else:\n for chunk in textwrap.wrap(line, width=78):\n print(chunk, file=fdst)\n if post.medias:\n print(file=fdst)\n for media in post.medias:\n print(media.to_markdown(), file=fdst)\n print('______', file=fdst)\n\n\n<mask token>\n\n\ndef is_image_file(name):\n return os.path.splitext(name)[1].lower() in ('.jpg', '.jpeg', '.png',\n '.gif', '.bmp', '.webp', '.tif')\n\n\n<mask token>\n\n\ndef is_media(name):\n return is_image_file(name) or is_video_file(name)\n\n\n<mask token>\n\n\ndef date_from_name(name):\n if (match := re.search('(?:\\\\D|^)(\\\\d{8})(?:\\\\D|$)', name, re.ASCII)):\n digits = match.group(1)\n if validate_date(digits):\n return digits\n return None\n\n\ndef date_from_item(filename):\n if (date := date_from_name(filename)):\n return date\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')\n\n\ndef time_from_name(name):\n if (match := re.search('(?:\\\\D|^)(\\\\d{8})\\\\D(\\\\d{6})(?:\\\\D|$)', name,\n re.ASCII)):\n digits = match.group(2)\n hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits\n [4:6])\n if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:\n return digits\n return None\n\n\ndef time_from_item(filename):\n if (time := time_from_name(filename)):\n return time\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')\n\n\n<mask token>\n\n\ndef get_image_info(filename):\n date = date_from_item(filename)\n time = time_from_item(filename)\n img = Image.open(filename)\n width, height = img.size\n size = round(os.path.getsize(filename) / 1000000.0, 1)\n return (date, time, width, height, size\n ), f'{date} {time}, dim={width}x{height}, {size} MB'\n\n\ndef get_video_info(filename, info_fullname):\n if os.path.exists(info_fullname):\n with open(info_fullname) as f:\n info = f.readline().split()\n date, time, width, height, size, duration, fps = info[0], info[1], int(\n info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6]\n )\n formatted_info = format_video_info(date, time, width, height, size,\n duration, fps)\n return (date, time, width, height, size, duration, fps), formatted_info\n else:\n info, formatted_info = make_video_info(filename, info_fullname)\n with open(info_fullname, 'wt') as f:\n print(' '.join([str(_) for _ in info]), file=f)\n return info, formatted_info\n\n\ndef make_video_info(filename, info_fullname):\n date = date_from_item(filename)\n time = time_from_item(filename)\n command = [*FFPROBE_CMD.split(), filename]\n try:\n output = check_output(command, stderr=STDOUT).decode()\n width, height, fps, duration = parse_ffprobe_output(output)\n size = round(os.path.getsize(filename) / 1000000.0, 1)\n output = format_video_info(date, time, width, height, size,\n duration, fps)\n except CalledProcessError as e:\n output = e.output.decode()\n warning(output)\n raise\n return (date, time, width, height, size, duration, fps), output\n\n\ndef parse_ffprobe_output(ffprobe_output):\n match = re.match(\n '(\\\\d+),(\\\\d+),(\\\\d+)/(\\\\d+),(\\\\d+/\\\\d+).*\\\\s(\\\\d+\\\\.\\\\d+)',\n ffprobe_output, re.DOTALL)\n width = int(match.group(1))\n height = int(match.group(2))\n fps = round(int(match.group(3)) / int(match.group(4)), 1)\n duration = round(float(match.group(6)))\n return width, height, fps, duration\n\n\ndef format_video_info(date, time, width, height, size, duration, fps):\n return (\n f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'\n )\n\n\n<mask token>\n\n\ndef size_thumbnail(width, height, maxdim):\n if width >= height:\n return maxdim, int(round(maxdim * height / width))\n else:\n return int(round(maxdim * width / height)), maxdim\n\n\ndef make_thumbnail_image(args, image_name, thumb_name, size):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_image(image_name, thumb_name, size)\n\n\ndef create_thumbnail_image(image_name, thumb_name, size):\n imgobj = Image.open(image_name)\n if imgobj.mode != 'RGBA' and image_name.endswith('.jpg') and not (\n image_name.endswith('.gif') and imgobj.info.get('transparency')):\n imgobj = imgobj.convert('RGBA')\n imgobj.thumbnail(size, Image.LANCZOS)\n imgobj = imgobj.convert('RGB')\n imgobj.save(thumb_name)\n\n\ndef make_thumbnail_video(args, video_name, thumb_name, size, duration):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_video(args, video_name, thumb_name, size, duration)\n\n\n<mask token>\n\n\ndef create_thumbnail_video(args, filename, thumbname, size, duration):\n delay = min(duration - 1, args.thumbnails.thumbdelay)\n sizearg = '%dx%d' % size\n command = (\n 'ffmpeg -y -v error -itsoffset -%d -i \"%s\" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s \"%s\"'\n )\n command = command % (delay, filename, sizearg, thumbname)\n result = os.system(command)\n try:\n img1 = Image.open(thumbname)\n except:\n warning('Unable to save thumbnail for', filename)\n return\n img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))\n width, height = img1.size\n img1.paste(img2, (6, height - 20 - 6), None)\n img1.save(thumbname)\n\n\n<mask token>\n\n\ndef create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):\n\n def size_thumbnail(width, height, xmax, ymax):\n width2 = xmax\n height2 = int(round(xmax * height / width))\n if height2 < ymax:\n width2 = int(round(ymax * width / height))\n height2 = ymax\n return width2, height2\n thumblist = [os.path.basename(item.thumb) for item in items]\n widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size\n , thumblist)\n thumbnum = widthnum * heightnum\n img = Image.new('RGB', size, SUBDIR_BACKCOL)\n for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):\n row = ind // widthnum\n col = ind % widthnum\n img2 = Image.open(os.path.join(thumbdir, thumb))\n w, h = size_thumbnail(*img2.size, width[col], height[row])\n cropdim = (w - width[col]) // 2, (h - height[row]) // 2, (w - width\n [col]) // 2 + width[col], (h - height[row]) // 2 + height[row]\n img2 = img2.resize((w, h), Image.LANCZOS)\n img2 = img2.crop(cropdim)\n img.paste(img2, (offsetx[col], offsety[row]))\n if os.path.exists(thumb_name):\n imgref = Image.open(thumb_name)\n byteio = io.BytesIO()\n img.save(byteio, 'JPEG')\n byteio.seek(0)\n imgnew = Image.open(byteio)\n diff = ImageChops.difference(imgnew, imgref)\n if diff.getbbox() is None:\n return\n img.save(thumb_name)\n\n\n<mask token>\n\n\ndef list_of_htmlfiles_in_items(itemlist):\n htmlist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n htmlist.append(item.htmname)\n htmlist.extend(list_of_htmlfiles_in_items(item.sublist))\n return htmlist\n\n\ndef list_of_thumbnails(posts, diary=False):\n thumblist = list()\n for post in posts:\n thumblist.extend(list_of_thumbnails_in_items(post.medias))\n if diary is False:\n thumblist.extend(list_of_thumbnails_in_items(post.dcim))\n return thumblist\n\n\ndef list_of_thumbnails_in_items(itemlist):\n thumblist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n thumblist.append(os.path.basename(item.thumb))\n thumblist.extend(list_of_thumbnails_in_items(item.sublist))\n else:\n thumblist.append(os.path.basename(item.thumb))\n return thumblist\n\n\ndef purge_htmlfiles(args, posts):\n \"\"\"\n Purge root dir from irrelevant html files\n \"\"\"\n htmlist = list_of_htmlfiles(args, posts)\n html_to_remove = list()\n for fullname in glob.glob(os.path.join(args.root, '*.htm*')):\n if fullname not in htmlist:\n html_to_remove.append(fullname)\n if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(\n f'{len(html_to_remove)} html files to remove. Continue [y|n]? '\n ).lower()\n if inpt == 'n':\n return\n for name in html_to_remove:\n print('Removing html files', name)\n os.remove(name)\n\n\ndef purge_thumbnails(args, thumbdir, posts, diary=False):\n \"\"\"\n Purge thumbnail dir from irrelevant thumbnails\n \"\"\"\n thumblist = list_of_thumbnails(posts, diary)\n thumbs_to_remove = list()\n for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):\n if os.path.basename(fullname) not in thumblist:\n thumbs_to_remove.append(fullname)\n if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(\n f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? '\n ).lower()\n if inpt == 'n':\n return\n for name in thumbs_to_remove:\n print('Removing thumbnail', name)\n os.remove(name)\n info_fullname = os.path.splitext(name)[0] + '.info'\n if os.path.exists(info_fullname):\n os.remove(info_fullname)\n\n\ndef is_media_within_dates(fullname, dates):\n if is_media(fullname):\n if type(dates) == tuple:\n return dates[0] <= date_from_item(fullname) <= dates[1]\n else:\n return True\n else:\n return False\n\n\ndef sorted_listdir(filelist):\n like_windows_explorer = True\n if not filelist:\n return filelist\n if like_windows_explorer:\n maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)\n\n def keyfunc(name):\n root, ext = os.path.splitext(name.lower())\n return root.ljust(maxlen, ' ') + ext\n else:\n keyfunc = str.lower\n return sorted(filelist, key=keyfunc)\n\n\n<mask token>\n\n\ndef list_of_medias(args, sourcedir, recursive):\n \"\"\"\n Return the list of full paths for pictures and movies in source directory\n \"\"\"\n files = list_of_files(sourcedir, recursive)\n return [_ for _ in files if is_media_within_dates(_, args.dates)]\n\n\n<mask token>\n\n\ndef dispatch_post_items(list_of_post_items):\n subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]\n medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]\n return subdirs, medias\n\n\ndef create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):\n if os.path.isfile(media_fullname):\n if is_image_file(media_fullname):\n return create_item_image(args, media_fullname, sourcedir,\n thumbdir, key, thumbmax)\n else:\n return create_item_video(args, media_fullname, sourcedir,\n thumbdir, key, thumbmax)\n else:\n return create_item_subdir(args, media_fullname, sourcedir, thumbdir,\n key, thumbmax)\n\n\ndef create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax\n ):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n try:\n info, infofmt = get_image_info(media_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)\n return PostImage(None, media_fullname, '/'.join((args.thumbrep,\n thumb_basename)), thumbsize, infofmt)\n except PIL.UnidentifiedImageError:\n warning('Unable to read image', media_fullname)\n return None\n\n\ndef create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax\n ):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'\n try:\n info, infofmt = get_video_info(media_fullname, info_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_video(args, media_fullname, thumb_fullname,\n thumbsize, duration=info[5])\n return PostVideo(None, media_fullname, '/'.join((args.thumbrep,\n thumb_basename)), thumbsize, infofmt)\n except CalledProcessError:\n warning('Unable to read video', media_fullname)\n return None\n\n\n<mask token>\n\n\ndef relative_name(media_fullname, sourcedir):\n \"\"\"\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg\n -->\n deeper2_deepest_OCT_20000112_000004.jpg\n\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest\n -->\n deeper2_deepest\n \"\"\"\n x = os.path.relpath(media_fullname, sourcedir)\n x = x.replace('\\\\', '_').replace('/', '_').replace('#', '_')\n return x\n\n\n<mask token>\n\n\ndef make_posts_from_diary(args):\n md_filename = os.path.join(args.root, 'index.md')\n if os.path.exists(md_filename):\n title, posts = parse_markdown(md_filename)\n else:\n error('File not found', md_filename)\n for post in posts:\n for media in post.medias:\n media_fullname = os.path.join(args.root, media.uri)\n item = create_item(args, media_fullname, args.root, args.\n thumbdir, 'post', 400)\n media.thumb = item.thumb\n media.thumbsize = item.thumbsize\n media.descr = item.descr\n return title, posts\n\n\n<mask token>\n\n\ndef make_posts_from_subdir(args, dirname):\n if args.bydir is False:\n medias_ext = list_of_medias(args, dirname, args.recursive)\n else:\n medias_ext = list_of_medias_ext(args, dirname)\n postmedias = list()\n for item in medias_ext:\n postmedia = create_item(args, item, args.sourcedir, args.thumbdir,\n 'dcim', 300)\n if postmedia is not None:\n postmedias.append(postmedia)\n post = Post(date='00000000', text='', medias=[])\n post.dcim = postmedias\n posts = [post]\n title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.\n sourcedir)[0]\n return title, posts\n\n\n<mask token>\n\n\ndef create_gallery(args):\n title, posts = make_posts(args, args.sourcedir)\n print_html(args, posts, title, os.path.join(args.dest, args.rootname),\n 'regular')\n purge_htmlfiles(args, posts)\n if args.diary and not args.sourcedir:\n purge_thumbnails(args, args.thumbdir, posts, diary=True)\n else:\n purge_thumbnails(args, args.thumbdir, posts)\n\n\ndef create_diary(args):\n medias = list_of_medias(args, args.sourcedir, args.recursive)\n if args.dates == 'diary':\n assert 0\n else:\n required_dates = {date_from_item(media) for media in medias}\n if type(args.dates) == tuple:\n date1, date2 = args.dates\n required_dates = {date for date in required_dates if date1 <=\n date <= date2}\n title = args.sourcedir\n posts = list()\n for date in sorted(required_dates):\n posts.append(Post.from_date(date))\n os.makedirs(args.root, exist_ok=True)\n print_markdown(posts, title, os.path.join(args.root, 'index.md'))\n\n\n<mask token>\n\n\ndef compare_image_buffers(imgbuf1, imgbuf2):\n \"\"\"\n return True if images read on file are identical, False otherwise\n \"\"\"\n with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:\n img1 = Image.open(imgio1)\n img2 = Image.open(imgio2)\n diff = ImageChops.difference(img1, img2)\n return not diff.getbbox()\n\n\ndef check_images(args, posts, online_images):\n result = True\n for post in posts:\n for media in post.medias:\n if type(media) is PostImage:\n if media.basename in online_images:\n with open(os.path.join(args.root, media.uri), 'rb') as f:\n imgbuf1 = f.read()\n try:\n with urlopen(online_images[media.basename][0]) as u:\n imgbuf2 = u.read()\n except FileNotFoundError:\n print('File not found', online_images[media.\n basename][0])\n next\n if compare_image_buffers(imgbuf1, imgbuf2) is False:\n print('Files are different, upload', media.basename)\n elif 1:\n print('File already online', media.basename)\n else:\n print('File is absent, upload', media.basename)\n result = False\n elif type(media) is PostVideo:\n print('Video not checked', media.basename)\n else:\n assert False\n return result\n\n\n<mask token>\n\n\ndef idempotence(args):\n \"\"\"\n For testing identity between a diary file and the fle obtained after reading\n and printing it. See testing.\n \"\"\"\n title, posts = parse_markdown(os.path.join(args.root, 'index.md'))\n print_markdown(posts, title, os.path.join(args.dest, 'index.md'))\n\n\n<mask token>\n\n\nclass MyConfigParser(ConfigParser):\n \"\"\"Add input checking.\"\"\"\n\n def __init__(self):\n ConfigParser.__init__(self, inline_comment_prefixes=(';',))\n\n def error(self, section, entry):\n error('Missing or incorrect config value:', '[%s]%s' % (section, entry)\n )\n\n def getint(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getint(self, section, entry)\n else:\n return ConfigParser.getint(self, section, entry, raw=True,\n vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n def getboolean(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getboolean(self, section, entry)\n else:\n return ConfigParser.getboolean(self, section, entry, raw=\n True, vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n\ndef configfilename(params):\n return os.path.join(params.root, '.config.ini')\n\n\ndef createconfig(config_filename):\n with open(config_filename, 'wt') as f:\n f.writelines(CONFIG_DEFAULTS)\n\n\ndef read_config(params):\n config_filename = configfilename(params)\n try:\n if not os.path.exists(config_filename) or params.resetcfg:\n createconfig(config_filename)\n except:\n error('Error creating configuration file')\n try:\n getconfig(params, config_filename)\n except Exception as e:\n error('Error reading configuration file.', str(e), 'Use --resetcfg')\n\n\n<mask token>\n\n\ndef setconfig_cmd(args):\n config_filename = configfilename(args)\n setconfig(config_filename, *args.setcfg)\n\n\ndef update_config(args):\n updates = ('sourcedir', args.sourcedir), ('bydir', BOOL[args.bydir]), (\n 'bydate', BOOL[args.bydate]), ('diary', BOOL[args.diary]), ('recursive'\n , BOOL[args.recursive]), ('dates', args.dates), ('github_pages',\n BOOL[args.github_pages])\n cfgname = configfilename(args)\n with open(cfgname) as f:\n cfglines = [_.strip() for _ in f.readlines()]\n for key, value in updates:\n for iline, line in enumerate(cfglines):\n if line.startswith(key):\n cfglines[iline] = f'{key} = {value}'\n break\n with open(cfgname, 'wt') as f:\n for line in cfglines:\n print(line, file=f)\n\n\ndef warning(*msg):\n print(colorama.Fore.YELLOW + colorama.Style.BRIGHT + ' '.join(msg),\n colorama.Style.RESET_ALL)\n\n\n<mask token>\n\n\ndef errorcode(msg):\n return ERRORS.splitlines().index(msg) + 1\n\n\ndef error(*msg):\n print(colorama.Fore.RED + colorama.Style.BRIGHT + ' '.join(msg),\n colorama.Style.RESET_ALL)\n sys.exit(errorcode(msg[0]))\n\n\n<mask token>\n\n\ndef setup_part1(args):\n \"\"\"\n Made before reading config file (config file located in args.root).\n Check and normalize root path.\n \"\"\"\n args.rootarg = args.root\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext == '':\n pass\n else:\n args.root = os.path.dirname(args.root)\n if args.root:\n args.root = os.path.abspath(args.root)\n if not os.path.isdir(args.root):\n if args.gallery:\n os.mkdir(args.root)\n else:\n error('Directory not found', args.root)\n\n\ndef setup_part2(args):\n \"\"\"\n Made after reading config file.\n Check for ffmpeg in path.\n Create .thumbnails dir if necessary and create .nomedia in it.\n Copy photobox file to destination dir.\n Handle priority between command line and config file.\n \"\"\"\n if args.update:\n args.sourcedir = args.source.sourcedir\n args.bydir = args.source.bydir\n args.bydate = args.source.bydate\n args.diary = args.source.diary\n args.recursive = args.source.recursive\n args.dates = args.source.dates\n args.github_pages = args.source.github_pages\n elif args.gallery:\n args.source.sourcedir = args.sourcedir\n args.source.bydir = args.bydir\n args.source.bydate = args.bydate\n args.source.diary = args.diary\n args.source.recursive = args.recursive\n args.source.dates = args.dates\n args.source.github_pages = args.github_pages\n update_config(args)\n if args.github_pages:\n args.html_suffix = '.html'\n else:\n args.html_suffix = '.htm'\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext:\n args.rootname = os.path.basename(args.rootarg)\n else:\n args.rootname = 'index' + args.html_suffix\n if args.sourcedir:\n args.sourcedir = os.path.abspath(args.sourcedir)\n if os.path.splitdrive(args.sourcedir)[0]:\n drive, rest = os.path.splitdrive(args.sourcedir)\n args.sourcedir = drive.upper() + rest\n if not os.path.isdir(args.sourcedir):\n error('Directory not found', args.sourcedir)\n elif args.gallery and args.diary is False and args.update is None:\n error('Directory not found', 'Use --sourcedir')\n if args.dest:\n args.dest = os.path.abspath(args.dest)\n if args.dest is None:\n args.dest = args.root\n if args.blogger and args.urlblogger is None:\n error('No blogger url (--url)')\n if args.gallery or args.update:\n for exe in ('ffmpeg', 'ffprobe'):\n try:\n check_output([exe, '-version'])\n except FileNotFoundError:\n error('File not found', exe)\n if args.github_pages:\n args.thumbrep = 'thumbnails'\n else:\n args.thumbrep = '.thumbnails'\n args.thumbdir = os.path.join(args.dest, args.thumbrep)\n if not os.path.exists(args.thumbdir):\n os.mkdir(args.thumbdir)\n open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()\n favicondst = os.path.join(args.dest, 'favicon.ico')\n if not os.path.isfile(favicondst):\n faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')\n shutil.copyfile(faviconsrc, favicondst)\n photoboxdir = os.path.join(args.dest, 'photobox')\n if not os.path.exists(photoboxdir):\n photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')\n shutil.copytree(photoboxsrc, photoboxdir)\n if args.dates:\n if not (args.gallery or args.create):\n pass\n if args.dates == 'source':\n pass\n elif args.dates == 'diary':\n if args.create:\n error('Incorrect date format', args.dates)\n elif re.match('\\\\d+-\\\\d+', args.dates):\n date1, date2 = args.dates.split('-')\n if validate_date(date1) and validate_date(date2):\n args.dates = date1, date2\n else:\n error('Incorrect date format', args.dates)\n else:\n error('Incorrect date format', args.dates)\n\n\ndef main(argstring=None):\n colorama.init()\n args = parse_command_line(argstring)\n setup_part1(args)\n read_config(args)\n setup_part2(args)\n try:\n if args.gallery or args.update:\n create_gallery(args)\n elif args.create:\n create_diary(args)\n elif args.blogger:\n prepare_for_blogger(args)\n elif args.idem:\n idempotence(args)\n elif args.setcfg:\n setconfig_cmd(args)\n except KeyboardInterrupt:\n warning('Interrupted by user.')\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Post:\n\n def __init__(self, date, text, medias):\n self.date = date\n self.text = text\n self.medias = medias\n self.dcim = []\n self.daterank = 0\n self.extra = False\n\n def __lt__(self, other):\n return self.date < other.date\n\n @classmethod\n def from_markdown(cls, post):\n m = re.match('\\\\[(\\\\d\\\\d\\\\d\\\\d/\\\\d\\\\d/\\\\d\\\\d)\\\\]\\\\n*', post[0])\n if m:\n date = m.group(1).replace('/', '')\n if not validate_date(date):\n error('Incorrect date value:', date)\n del post[0]\n else:\n error('No date in post', ' '.join(post))\n while post and not post[0].strip():\n del post[0]\n text = ''\n while post and not re.match('!?\\\\[\\\\]', post[0]):\n text += post[0]\n del post[0]\n text = re.sub('\\\\n\\\\n$', '\\n', text)\n medias = list()\n while post and (match := re.match('!?\\\\[\\\\]\\\\((.*)\\\\)', post[0])):\n media = match.group(1)\n caption = None\n del post[0]\n if post and not re.match('!?\\\\[\\\\]', post[0]):\n caption = post[0].strip()\n del post[0]\n if match.group(0)[0] == '!':\n medias.append(PostImage(caption, media))\n else:\n medias.append(PostVideo(caption, media))\n return cls(date, text, medias)\n\n @classmethod\n def from_date(cls, date):\n dt = datetime.datetime.strptime(date, '%Y%m%d')\n datetext = dt.strftime('%A %d %B %Y').capitalize()\n post = cls(date, text=datetext, medias=[])\n post.daterank = 1\n return post\n\n def to_html(self, args, target='regular'):\n if target == 'regular':\n if args.diary:\n return self.to_html_diary(args)\n else:\n return self.to_html_regular(args)\n if target == 'blogger':\n return self.to_html_blogger()\n\n def to_html_regular(self, args):\n html = list()\n if self.text:\n html.append(markdown.markdown(self.text))\n subdirs, dcim = dispatch_post_items(self.dcim)\n if self.dcim:\n html.append(SEP)\n for media in subdirs:\n html.append(media.to_html_dcim(args))\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n html.append(SEP)\n return html\n\n def to_html_diary(self, args):\n html = list()\n if self.extra:\n html.append('<div class=\"extra\">')\n if self.text:\n html.append(markdown.markdown(self.text))\n if self.medias:\n html.append(f'<div id=\"gallery-blog-{self.date}-{self.daterank}\">')\n for media in self.medias:\n html.append(media.to_html_post(args))\n html.append('</div>')\n _, dcim = dispatch_post_items(self.dcim)\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n html.append(SEP)\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n html.append(SEP)\n if self.extra:\n html.append('</div>')\n return html\n\n def to_html_blogger(self):\n html = list()\n html.append(markdown.markdown(self.text))\n for image in self.medias:\n html.append(image.to_html_blogger())\n html.append(SEP)\n return html\n\n\nclass PostItem:\n\n def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):\n self.caption = caption\n self.uri = uri\n self.basename = os.path.basename(uri)\n self.thumb = thumb\n self.thumbsize = thumbsize\n self.descr = descr\n self.resized_url = None\n\n\nclass PostImage(PostItem):\n\n def to_markdown(self):\n if not self.caption:\n return '' % (self.uri,)\n else:\n return '\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,\n descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *\n self.thumbsize, descr)\n\n def to_html_blogger(self):\n if not self.caption:\n return BIMGPAT % (self.uri, self.resized_url)\n else:\n return f'{BIMGPAT}\\n{CAPTION_PAT}' % (self.uri, self.\n resized_url, self.caption)\n\n\nclass PostVideo(PostItem):\n\n def to_markdown(self):\n if not self.caption:\n return '[](%s)' % (self.uri,)\n else:\n return '[](%s)\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,\n descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *\n self.thumbsize, descr)\n\n def to_html_blogger(self):\n x = f'<p style=\"text-align: center;\">{self.iframe}</p>'\n if not self.caption:\n return x\n else:\n return f'%s\\n{CAPTION_PAT}' % (x, self.caption)\n\n\nclass PostSubdir(PostItem):\n\n def to_html_dcim(self, args):\n basename = os.path.basename(self.htmname)\n posts = self.posts\n title = self.caption\n print_html(args, posts, title, self.htmname)\n if not self.caption:\n return DIRPOST % (basename, self.thumb, *self.thumbsize)\n else:\n return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize,\n self.caption)\n\n\n<mask token>\n\n\ndef parse_markdown(filename):\n \"\"\"\n Generate Post objects from markdown. Date must be present in each post and\n posts must be ordrered by date.\n \"\"\"\n if not os.path.exists(filename):\n error('File not found', filename)\n posts = list()\n with open(filename, encoding='utf-8') as f:\n line = next(f)\n if line.startswith('# '):\n title = line[2:].strip()\n record = []\n next(f)\n else:\n title = None\n record = [line]\n for line in f:\n if not line.startswith('___'):\n record.append(line)\n else:\n posts.append(Post.from_markdown(record))\n record = []\n daterank = defaultdict(int)\n for post in posts:\n daterank[post.date] += 1\n post.daterank = daterank[post.date]\n for post1, post2 in zip(posts[:-1], posts[1:]):\n if post1.date > post2.date:\n error('Posts are not ordered', f'{post1.date} > {post2.date}')\n return title, posts\n\n\ndef print_markdown(posts, title, fullname):\n with open(fullname, 'wt', encoding='utf-8') as fdst:\n print(f'# {title}\\n', file=fdst)\n for post in posts:\n date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'\n print(date, file=fdst)\n if post.text:\n print(file=fdst)\n for line in post.text.splitlines():\n if not line:\n print(file=fdst)\n else:\n for chunk in textwrap.wrap(line, width=78):\n print(chunk, file=fdst)\n if post.medias:\n print(file=fdst)\n for media in post.medias:\n print(media.to_markdown(), file=fdst)\n print('______', file=fdst)\n\n\n<mask token>\n\n\ndef print_html(args, posts, title, html_name, target='regular'):\n assert target in ('regular', 'blogger')\n with io.StringIO() as f:\n print_html_to_stream(args, posts, title, f, target)\n html = f.getvalue()\n if html_name:\n if os.path.exists(html_name):\n with open(html_name, 'rt', encoding='utf-8') as f:\n html0 = f.read()\n if html == html0:\n return None\n with open(html_name, 'wt', encoding='utf-8') as f:\n f.write(html)\n return None\n else:\n return html\n\n\n<mask token>\n\n\ndef is_image_file(name):\n return os.path.splitext(name)[1].lower() in ('.jpg', '.jpeg', '.png',\n '.gif', '.bmp', '.webp', '.tif')\n\n\n<mask token>\n\n\ndef is_media(name):\n return is_image_file(name) or is_video_file(name)\n\n\n<mask token>\n\n\ndef date_from_name(name):\n if (match := re.search('(?:\\\\D|^)(\\\\d{8})(?:\\\\D|$)', name, re.ASCII)):\n digits = match.group(1)\n if validate_date(digits):\n return digits\n return None\n\n\ndef date_from_item(filename):\n if (date := date_from_name(filename)):\n return date\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')\n\n\ndef time_from_name(name):\n if (match := re.search('(?:\\\\D|^)(\\\\d{8})\\\\D(\\\\d{6})(?:\\\\D|$)', name,\n re.ASCII)):\n digits = match.group(2)\n hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits\n [4:6])\n if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:\n return digits\n return None\n\n\ndef time_from_item(filename):\n if (time := time_from_name(filename)):\n return time\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')\n\n\n<mask token>\n\n\ndef get_image_info(filename):\n date = date_from_item(filename)\n time = time_from_item(filename)\n img = Image.open(filename)\n width, height = img.size\n size = round(os.path.getsize(filename) / 1000000.0, 1)\n return (date, time, width, height, size\n ), f'{date} {time}, dim={width}x{height}, {size} MB'\n\n\ndef get_video_info(filename, info_fullname):\n if os.path.exists(info_fullname):\n with open(info_fullname) as f:\n info = f.readline().split()\n date, time, width, height, size, duration, fps = info[0], info[1], int(\n info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6]\n )\n formatted_info = format_video_info(date, time, width, height, size,\n duration, fps)\n return (date, time, width, height, size, duration, fps), formatted_info\n else:\n info, formatted_info = make_video_info(filename, info_fullname)\n with open(info_fullname, 'wt') as f:\n print(' '.join([str(_) for _ in info]), file=f)\n return info, formatted_info\n\n\ndef make_video_info(filename, info_fullname):\n date = date_from_item(filename)\n time = time_from_item(filename)\n command = [*FFPROBE_CMD.split(), filename]\n try:\n output = check_output(command, stderr=STDOUT).decode()\n width, height, fps, duration = parse_ffprobe_output(output)\n size = round(os.path.getsize(filename) / 1000000.0, 1)\n output = format_video_info(date, time, width, height, size,\n duration, fps)\n except CalledProcessError as e:\n output = e.output.decode()\n warning(output)\n raise\n return (date, time, width, height, size, duration, fps), output\n\n\ndef parse_ffprobe_output(ffprobe_output):\n match = re.match(\n '(\\\\d+),(\\\\d+),(\\\\d+)/(\\\\d+),(\\\\d+/\\\\d+).*\\\\s(\\\\d+\\\\.\\\\d+)',\n ffprobe_output, re.DOTALL)\n width = int(match.group(1))\n height = int(match.group(2))\n fps = round(int(match.group(3)) / int(match.group(4)), 1)\n duration = round(float(match.group(6)))\n return width, height, fps, duration\n\n\ndef format_video_info(date, time, width, height, size, duration, fps):\n return (\n f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'\n )\n\n\n<mask token>\n\n\ndef thumbname(name, key):\n return key + '-' + name + '.jpg'\n\n\ndef size_thumbnail(width, height, maxdim):\n if width >= height:\n return maxdim, int(round(maxdim * height / width))\n else:\n return int(round(maxdim * width / height)), maxdim\n\n\ndef make_thumbnail_image(args, image_name, thumb_name, size):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_image(image_name, thumb_name, size)\n\n\ndef create_thumbnail_image(image_name, thumb_name, size):\n imgobj = Image.open(image_name)\n if imgobj.mode != 'RGBA' and image_name.endswith('.jpg') and not (\n image_name.endswith('.gif') and imgobj.info.get('transparency')):\n imgobj = imgobj.convert('RGBA')\n imgobj.thumbnail(size, Image.LANCZOS)\n imgobj = imgobj.convert('RGB')\n imgobj.save(thumb_name)\n\n\ndef make_thumbnail_video(args, video_name, thumb_name, size, duration):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_video(args, video_name, thumb_name, size, duration)\n\n\n<mask token>\n\n\ndef create_thumbnail_video(args, filename, thumbname, size, duration):\n delay = min(duration - 1, args.thumbnails.thumbdelay)\n sizearg = '%dx%d' % size\n command = (\n 'ffmpeg -y -v error -itsoffset -%d -i \"%s\" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s \"%s\"'\n )\n command = command % (delay, filename, sizearg, thumbname)\n result = os.system(command)\n try:\n img1 = Image.open(thumbname)\n except:\n warning('Unable to save thumbnail for', filename)\n return\n img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))\n width, height = img1.size\n img1.paste(img2, (6, height - 20 - 6), None)\n img1.save(thumbname)\n\n\n<mask token>\n\n\ndef create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):\n\n def size_thumbnail(width, height, xmax, ymax):\n width2 = xmax\n height2 = int(round(xmax * height / width))\n if height2 < ymax:\n width2 = int(round(ymax * width / height))\n height2 = ymax\n return width2, height2\n thumblist = [os.path.basename(item.thumb) for item in items]\n widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size\n , thumblist)\n thumbnum = widthnum * heightnum\n img = Image.new('RGB', size, SUBDIR_BACKCOL)\n for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):\n row = ind // widthnum\n col = ind % widthnum\n img2 = Image.open(os.path.join(thumbdir, thumb))\n w, h = size_thumbnail(*img2.size, width[col], height[row])\n cropdim = (w - width[col]) // 2, (h - height[row]) // 2, (w - width\n [col]) // 2 + width[col], (h - height[row]) // 2 + height[row]\n img2 = img2.resize((w, h), Image.LANCZOS)\n img2 = img2.crop(cropdim)\n img.paste(img2, (offsetx[col], offsety[row]))\n if os.path.exists(thumb_name):\n imgref = Image.open(thumb_name)\n byteio = io.BytesIO()\n img.save(byteio, 'JPEG')\n byteio.seek(0)\n imgnew = Image.open(byteio)\n diff = ImageChops.difference(imgnew, imgref)\n if diff.getbbox() is None:\n return\n img.save(thumb_name)\n\n\ndef mosaic_geometry(size, thumblist):\n if len(thumblist) == 1:\n widthnum = 1\n heightnum = 1\n elif len(thumblist) <= 3:\n widthnum = 1\n heightnum = 2\n elif len(thumblist) <= 8:\n widthnum = 2\n heightnum = 2\n else:\n widthnum = 3\n heightnum = 3\n if widthnum == 1:\n width = [size[0] - 2]\n else:\n width = [size[0] // widthnum - 2] * (widthnum - 1)\n width.append(size[0] - (1 + sum(width) + 2 * len(width) + 1))\n if heightnum == 1:\n height = [size[1] - 2]\n else:\n height = [size[1] // heightnum - 2] * (heightnum - 1)\n height.append(size[1] - (1 + sum(height) + 2 * len(height) + 1))\n offsetx = [1]\n for w in width[:-1]:\n offsetx.append(offsetx[-1] + w + 2)\n offsety = [1]\n for h in height[:-1]:\n offsety.append(offsety[-1] + h + 2)\n return widthnum, heightnum, width, height, offsetx, offsety\n\n\n<mask token>\n\n\ndef list_of_htmlfiles_in_items(itemlist):\n htmlist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n htmlist.append(item.htmname)\n htmlist.extend(list_of_htmlfiles_in_items(item.sublist))\n return htmlist\n\n\ndef list_of_thumbnails(posts, diary=False):\n thumblist = list()\n for post in posts:\n thumblist.extend(list_of_thumbnails_in_items(post.medias))\n if diary is False:\n thumblist.extend(list_of_thumbnails_in_items(post.dcim))\n return thumblist\n\n\ndef list_of_thumbnails_in_items(itemlist):\n thumblist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n thumblist.append(os.path.basename(item.thumb))\n thumblist.extend(list_of_thumbnails_in_items(item.sublist))\n else:\n thumblist.append(os.path.basename(item.thumb))\n return thumblist\n\n\ndef purge_htmlfiles(args, posts):\n \"\"\"\n Purge root dir from irrelevant html files\n \"\"\"\n htmlist = list_of_htmlfiles(args, posts)\n html_to_remove = list()\n for fullname in glob.glob(os.path.join(args.root, '*.htm*')):\n if fullname not in htmlist:\n html_to_remove.append(fullname)\n if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(\n f'{len(html_to_remove)} html files to remove. Continue [y|n]? '\n ).lower()\n if inpt == 'n':\n return\n for name in html_to_remove:\n print('Removing html files', name)\n os.remove(name)\n\n\ndef purge_thumbnails(args, thumbdir, posts, diary=False):\n \"\"\"\n Purge thumbnail dir from irrelevant thumbnails\n \"\"\"\n thumblist = list_of_thumbnails(posts, diary)\n thumbs_to_remove = list()\n for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):\n if os.path.basename(fullname) not in thumblist:\n thumbs_to_remove.append(fullname)\n if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(\n f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? '\n ).lower()\n if inpt == 'n':\n return\n for name in thumbs_to_remove:\n print('Removing thumbnail', name)\n os.remove(name)\n info_fullname = os.path.splitext(name)[0] + '.info'\n if os.path.exists(info_fullname):\n os.remove(info_fullname)\n\n\ndef is_media_within_dates(fullname, dates):\n if is_media(fullname):\n if type(dates) == tuple:\n return dates[0] <= date_from_item(fullname) <= dates[1]\n else:\n return True\n else:\n return False\n\n\ndef sorted_listdir(filelist):\n like_windows_explorer = True\n if not filelist:\n return filelist\n if like_windows_explorer:\n maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)\n\n def keyfunc(name):\n root, ext = os.path.splitext(name.lower())\n return root.ljust(maxlen, ' ') + ext\n else:\n keyfunc = str.lower\n return sorted(filelist, key=keyfunc)\n\n\n<mask token>\n\n\ndef list_of_medias(args, sourcedir, recursive):\n \"\"\"\n Return the list of full paths for pictures and movies in source directory\n \"\"\"\n files = list_of_files(sourcedir, recursive)\n return [_ for _ in files if is_media_within_dates(_, args.dates)]\n\n\n<mask token>\n\n\ndef dispatch_post_items(list_of_post_items):\n subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]\n medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]\n return subdirs, medias\n\n\ndef create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):\n if os.path.isfile(media_fullname):\n if is_image_file(media_fullname):\n return create_item_image(args, media_fullname, sourcedir,\n thumbdir, key, thumbmax)\n else:\n return create_item_video(args, media_fullname, sourcedir,\n thumbdir, key, thumbmax)\n else:\n return create_item_subdir(args, media_fullname, sourcedir, thumbdir,\n key, thumbmax)\n\n\ndef create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax\n ):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n try:\n info, infofmt = get_image_info(media_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)\n return PostImage(None, media_fullname, '/'.join((args.thumbrep,\n thumb_basename)), thumbsize, infofmt)\n except PIL.UnidentifiedImageError:\n warning('Unable to read image', media_fullname)\n return None\n\n\ndef create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax\n ):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'\n try:\n info, infofmt = get_video_info(media_fullname, info_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_video(args, media_fullname, thumb_fullname,\n thumbsize, duration=info[5])\n return PostVideo(None, media_fullname, '/'.join((args.thumbrep,\n thumb_basename)), thumbsize, infofmt)\n except CalledProcessError:\n warning('Unable to read video', media_fullname)\n return None\n\n\n<mask token>\n\n\ndef relative_name(media_fullname, sourcedir):\n \"\"\"\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg\n -->\n deeper2_deepest_OCT_20000112_000004.jpg\n\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest\n -->\n deeper2_deepest\n \"\"\"\n x = os.path.relpath(media_fullname, sourcedir)\n x = x.replace('\\\\', '_').replace('/', '_').replace('#', '_')\n return x\n\n\n<mask token>\n\n\ndef make_posts_from_diary(args):\n md_filename = os.path.join(args.root, 'index.md')\n if os.path.exists(md_filename):\n title, posts = parse_markdown(md_filename)\n else:\n error('File not found', md_filename)\n for post in posts:\n for media in post.medias:\n media_fullname = os.path.join(args.root, media.uri)\n item = create_item(args, media_fullname, args.root, args.\n thumbdir, 'post', 400)\n media.thumb = item.thumb\n media.thumbsize = item.thumbsize\n media.descr = item.descr\n return title, posts\n\n\n<mask token>\n\n\ndef make_posts_from_subdir(args, dirname):\n if args.bydir is False:\n medias_ext = list_of_medias(args, dirname, args.recursive)\n else:\n medias_ext = list_of_medias_ext(args, dirname)\n postmedias = list()\n for item in medias_ext:\n postmedia = create_item(args, item, args.sourcedir, args.thumbdir,\n 'dcim', 300)\n if postmedia is not None:\n postmedias.append(postmedia)\n post = Post(date='00000000', text='', medias=[])\n post.dcim = postmedias\n posts = [post]\n title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.\n sourcedir)[0]\n return title, posts\n\n\n<mask token>\n\n\ndef create_gallery(args):\n title, posts = make_posts(args, args.sourcedir)\n print_html(args, posts, title, os.path.join(args.dest, args.rootname),\n 'regular')\n purge_htmlfiles(args, posts)\n if args.diary and not args.sourcedir:\n purge_thumbnails(args, args.thumbdir, posts, diary=True)\n else:\n purge_thumbnails(args, args.thumbdir, posts)\n\n\ndef create_diary(args):\n medias = list_of_medias(args, args.sourcedir, args.recursive)\n if args.dates == 'diary':\n assert 0\n else:\n required_dates = {date_from_item(media) for media in medias}\n if type(args.dates) == tuple:\n date1, date2 = args.dates\n required_dates = {date for date in required_dates if date1 <=\n date <= date2}\n title = args.sourcedir\n posts = list()\n for date in sorted(required_dates):\n posts.append(Post.from_date(date))\n os.makedirs(args.root, exist_ok=True)\n print_markdown(posts, title, os.path.join(args.root, 'index.md'))\n\n\n<mask token>\n\n\ndef compare_image_buffers(imgbuf1, imgbuf2):\n \"\"\"\n return True if images read on file are identical, False otherwise\n \"\"\"\n with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:\n img1 = Image.open(imgio1)\n img2 = Image.open(imgio2)\n diff = ImageChops.difference(img1, img2)\n return not diff.getbbox()\n\n\ndef check_images(args, posts, online_images):\n result = True\n for post in posts:\n for media in post.medias:\n if type(media) is PostImage:\n if media.basename in online_images:\n with open(os.path.join(args.root, media.uri), 'rb') as f:\n imgbuf1 = f.read()\n try:\n with urlopen(online_images[media.basename][0]) as u:\n imgbuf2 = u.read()\n except FileNotFoundError:\n print('File not found', online_images[media.\n basename][0])\n next\n if compare_image_buffers(imgbuf1, imgbuf2) is False:\n print('Files are different, upload', media.basename)\n elif 1:\n print('File already online', media.basename)\n else:\n print('File is absent, upload', media.basename)\n result = False\n elif type(media) is PostVideo:\n print('Video not checked', media.basename)\n else:\n assert False\n return result\n\n\ndef compose_blogger_html(args, title, posts, imgdata, online_videos):\n \"\"\" Compose html with blogger image urls\n \"\"\"\n for post in posts:\n for media in post.medias:\n if type(media) is PostImage:\n if media.uri not in imgdata:\n print('Image missing: ', media.uri)\n else:\n img_url, resized_url = imgdata[media.uri]\n media.uri = img_url\n media.resized_url = resized_url\n elif type(media) is PostVideo:\n if not online_videos:\n print('Video missing: ', media.uri)\n else:\n media.iframe = online_videos[0]\n del online_videos[0]\n else:\n assert False\n return print_html(args, posts, title, '', target='blogger')\n\n\ndef prepare_for_blogger(args):\n \"\"\"\n Export blogger html to clipboard.\n If --full, export complete html, otherwise export html extract ready to\n paste into blogger edit mode.\n \"\"\"\n title, posts = parse_markdown(os.path.join(args.root, 'index.md'))\n online_images, online_videos = online_images_url(args)\n if args.check_images and check_images(args, posts, online_images) is False:\n pass\n html = compose_blogger_html(args, title, posts, online_images,\n online_videos)\n if args.full is False:\n html = re.search('<body>(.*)?</body>', html, flags=re.DOTALL).group(1)\n html = re.sub('<script>.*?</script>', '', html, flags=re.DOTALL)\n html = STYLE.replace('%%', '%') + html\n if args.dest:\n with open(args.dest, 'wt', encoding='utf-8') as f:\n f.write(html)\n else:\n clipboard.copy(html)\n\n\ndef idempotence(args):\n \"\"\"\n For testing identity between a diary file and the fle obtained after reading\n and printing it. See testing.\n \"\"\"\n title, posts = parse_markdown(os.path.join(args.root, 'index.md'))\n print_markdown(posts, title, os.path.join(args.dest, 'index.md'))\n\n\n<mask token>\n\n\nclass MyConfigParser(ConfigParser):\n \"\"\"Add input checking.\"\"\"\n\n def __init__(self):\n ConfigParser.__init__(self, inline_comment_prefixes=(';',))\n\n def error(self, section, entry):\n error('Missing or incorrect config value:', '[%s]%s' % (section, entry)\n )\n\n def getint(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getint(self, section, entry)\n else:\n return ConfigParser.getint(self, section, entry, raw=True,\n vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n def getboolean(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getboolean(self, section, entry)\n else:\n return ConfigParser.getboolean(self, section, entry, raw=\n True, vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n\ndef configfilename(params):\n return os.path.join(params.root, '.config.ini')\n\n\ndef createconfig(config_filename):\n with open(config_filename, 'wt') as f:\n f.writelines(CONFIG_DEFAULTS)\n\n\ndef read_config(params):\n config_filename = configfilename(params)\n try:\n if not os.path.exists(config_filename) or params.resetcfg:\n createconfig(config_filename)\n except:\n error('Error creating configuration file')\n try:\n getconfig(params, config_filename)\n except Exception as e:\n error('Error reading configuration file.', str(e), 'Use --resetcfg')\n\n\n<mask token>\n\n\ndef setconfig_cmd(args):\n config_filename = configfilename(args)\n setconfig(config_filename, *args.setcfg)\n\n\ndef update_config(args):\n updates = ('sourcedir', args.sourcedir), ('bydir', BOOL[args.bydir]), (\n 'bydate', BOOL[args.bydate]), ('diary', BOOL[args.diary]), ('recursive'\n , BOOL[args.recursive]), ('dates', args.dates), ('github_pages',\n BOOL[args.github_pages])\n cfgname = configfilename(args)\n with open(cfgname) as f:\n cfglines = [_.strip() for _ in f.readlines()]\n for key, value in updates:\n for iline, line in enumerate(cfglines):\n if line.startswith(key):\n cfglines[iline] = f'{key} = {value}'\n break\n with open(cfgname, 'wt') as f:\n for line in cfglines:\n print(line, file=f)\n\n\ndef warning(*msg):\n print(colorama.Fore.YELLOW + colorama.Style.BRIGHT + ' '.join(msg),\n colorama.Style.RESET_ALL)\n\n\n<mask token>\n\n\ndef errorcode(msg):\n return ERRORS.splitlines().index(msg) + 1\n\n\ndef error(*msg):\n print(colorama.Fore.RED + colorama.Style.BRIGHT + ' '.join(msg),\n colorama.Style.RESET_ALL)\n sys.exit(errorcode(msg[0]))\n\n\n<mask token>\n\n\ndef setup_part1(args):\n \"\"\"\n Made before reading config file (config file located in args.root).\n Check and normalize root path.\n \"\"\"\n args.rootarg = args.root\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext == '':\n pass\n else:\n args.root = os.path.dirname(args.root)\n if args.root:\n args.root = os.path.abspath(args.root)\n if not os.path.isdir(args.root):\n if args.gallery:\n os.mkdir(args.root)\n else:\n error('Directory not found', args.root)\n\n\ndef setup_part2(args):\n \"\"\"\n Made after reading config file.\n Check for ffmpeg in path.\n Create .thumbnails dir if necessary and create .nomedia in it.\n Copy photobox file to destination dir.\n Handle priority between command line and config file.\n \"\"\"\n if args.update:\n args.sourcedir = args.source.sourcedir\n args.bydir = args.source.bydir\n args.bydate = args.source.bydate\n args.diary = args.source.diary\n args.recursive = args.source.recursive\n args.dates = args.source.dates\n args.github_pages = args.source.github_pages\n elif args.gallery:\n args.source.sourcedir = args.sourcedir\n args.source.bydir = args.bydir\n args.source.bydate = args.bydate\n args.source.diary = args.diary\n args.source.recursive = args.recursive\n args.source.dates = args.dates\n args.source.github_pages = args.github_pages\n update_config(args)\n if args.github_pages:\n args.html_suffix = '.html'\n else:\n args.html_suffix = '.htm'\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext:\n args.rootname = os.path.basename(args.rootarg)\n else:\n args.rootname = 'index' + args.html_suffix\n if args.sourcedir:\n args.sourcedir = os.path.abspath(args.sourcedir)\n if os.path.splitdrive(args.sourcedir)[0]:\n drive, rest = os.path.splitdrive(args.sourcedir)\n args.sourcedir = drive.upper() + rest\n if not os.path.isdir(args.sourcedir):\n error('Directory not found', args.sourcedir)\n elif args.gallery and args.diary is False and args.update is None:\n error('Directory not found', 'Use --sourcedir')\n if args.dest:\n args.dest = os.path.abspath(args.dest)\n if args.dest is None:\n args.dest = args.root\n if args.blogger and args.urlblogger is None:\n error('No blogger url (--url)')\n if args.gallery or args.update:\n for exe in ('ffmpeg', 'ffprobe'):\n try:\n check_output([exe, '-version'])\n except FileNotFoundError:\n error('File not found', exe)\n if args.github_pages:\n args.thumbrep = 'thumbnails'\n else:\n args.thumbrep = '.thumbnails'\n args.thumbdir = os.path.join(args.dest, args.thumbrep)\n if not os.path.exists(args.thumbdir):\n os.mkdir(args.thumbdir)\n open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()\n favicondst = os.path.join(args.dest, 'favicon.ico')\n if not os.path.isfile(favicondst):\n faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')\n shutil.copyfile(faviconsrc, favicondst)\n photoboxdir = os.path.join(args.dest, 'photobox')\n if not os.path.exists(photoboxdir):\n photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')\n shutil.copytree(photoboxsrc, photoboxdir)\n if args.dates:\n if not (args.gallery or args.create):\n pass\n if args.dates == 'source':\n pass\n elif args.dates == 'diary':\n if args.create:\n error('Incorrect date format', args.dates)\n elif re.match('\\\\d+-\\\\d+', args.dates):\n date1, date2 = args.dates.split('-')\n if validate_date(date1) and validate_date(date2):\n args.dates = date1, date2\n else:\n error('Incorrect date format', args.dates)\n else:\n error('Incorrect date format', args.dates)\n\n\ndef main(argstring=None):\n colorama.init()\n args = parse_command_line(argstring)\n setup_part1(args)\n read_config(args)\n setup_part2(args)\n try:\n if args.gallery or args.update:\n create_gallery(args)\n elif args.create:\n create_diary(args)\n elif args.blogger:\n prepare_for_blogger(args)\n elif args.idem:\n idempotence(args)\n elif args.setcfg:\n setconfig_cmd(args)\n except KeyboardInterrupt:\n warning('Interrupted by user.')\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Post:\n\n def __init__(self, date, text, medias):\n self.date = date\n self.text = text\n self.medias = medias\n self.dcim = []\n self.daterank = 0\n self.extra = False\n\n def __lt__(self, other):\n return self.date < other.date\n\n @classmethod\n def from_markdown(cls, post):\n m = re.match('\\\\[(\\\\d\\\\d\\\\d\\\\d/\\\\d\\\\d/\\\\d\\\\d)\\\\]\\\\n*', post[0])\n if m:\n date = m.group(1).replace('/', '')\n if not validate_date(date):\n error('Incorrect date value:', date)\n del post[0]\n else:\n error('No date in post', ' '.join(post))\n while post and not post[0].strip():\n del post[0]\n text = ''\n while post and not re.match('!?\\\\[\\\\]', post[0]):\n text += post[0]\n del post[0]\n text = re.sub('\\\\n\\\\n$', '\\n', text)\n medias = list()\n while post and (match := re.match('!?\\\\[\\\\]\\\\((.*)\\\\)', post[0])):\n media = match.group(1)\n caption = None\n del post[0]\n if post and not re.match('!?\\\\[\\\\]', post[0]):\n caption = post[0].strip()\n del post[0]\n if match.group(0)[0] == '!':\n medias.append(PostImage(caption, media))\n else:\n medias.append(PostVideo(caption, media))\n return cls(date, text, medias)\n\n @classmethod\n def from_date(cls, date):\n dt = datetime.datetime.strptime(date, '%Y%m%d')\n datetext = dt.strftime('%A %d %B %Y').capitalize()\n post = cls(date, text=datetext, medias=[])\n post.daterank = 1\n return post\n\n def to_html(self, args, target='regular'):\n if target == 'regular':\n if args.diary:\n return self.to_html_diary(args)\n else:\n return self.to_html_regular(args)\n if target == 'blogger':\n return self.to_html_blogger()\n\n def to_html_regular(self, args):\n html = list()\n if self.text:\n html.append(markdown.markdown(self.text))\n subdirs, dcim = dispatch_post_items(self.dcim)\n if self.dcim:\n html.append(SEP)\n for media in subdirs:\n html.append(media.to_html_dcim(args))\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n html.append(SEP)\n return html\n\n def to_html_diary(self, args):\n html = list()\n if self.extra:\n html.append('<div class=\"extra\">')\n if self.text:\n html.append(markdown.markdown(self.text))\n if self.medias:\n html.append(f'<div id=\"gallery-blog-{self.date}-{self.daterank}\">')\n for media in self.medias:\n html.append(media.to_html_post(args))\n html.append('</div>')\n _, dcim = dispatch_post_items(self.dcim)\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n html.append(SEP)\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n html.append(SEP)\n if self.extra:\n html.append('</div>')\n return html\n\n def to_html_blogger(self):\n html = list()\n html.append(markdown.markdown(self.text))\n for image in self.medias:\n html.append(image.to_html_blogger())\n html.append(SEP)\n return html\n\n\nclass PostItem:\n\n def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):\n self.caption = caption\n self.uri = uri\n self.basename = os.path.basename(uri)\n self.thumb = thumb\n self.thumbsize = thumbsize\n self.descr = descr\n self.resized_url = None\n\n\nclass PostImage(PostItem):\n\n def to_markdown(self):\n if not self.caption:\n return '' % (self.uri,)\n else:\n return '\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,\n descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *\n self.thumbsize, descr)\n\n def to_html_blogger(self):\n if not self.caption:\n return BIMGPAT % (self.uri, self.resized_url)\n else:\n return f'{BIMGPAT}\\n{CAPTION_PAT}' % (self.uri, self.\n resized_url, self.caption)\n\n\nclass PostVideo(PostItem):\n\n def to_markdown(self):\n if not self.caption:\n return '[](%s)' % (self.uri,)\n else:\n return '[](%s)\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,\n descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *\n self.thumbsize, descr)\n\n def to_html_blogger(self):\n x = f'<p style=\"text-align: center;\">{self.iframe}</p>'\n if not self.caption:\n return x\n else:\n return f'%s\\n{CAPTION_PAT}' % (x, self.caption)\n\n\nclass PostSubdir(PostItem):\n\n def to_html_dcim(self, args):\n basename = os.path.basename(self.htmname)\n posts = self.posts\n title = self.caption\n print_html(args, posts, title, self.htmname)\n if not self.caption:\n return DIRPOST % (basename, self.thumb, *self.thumbsize)\n else:\n return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize,\n self.caption)\n\n\n<mask token>\n\n\ndef parse_markdown(filename):\n \"\"\"\n Generate Post objects from markdown. Date must be present in each post and\n posts must be ordrered by date.\n \"\"\"\n if not os.path.exists(filename):\n error('File not found', filename)\n posts = list()\n with open(filename, encoding='utf-8') as f:\n line = next(f)\n if line.startswith('# '):\n title = line[2:].strip()\n record = []\n next(f)\n else:\n title = None\n record = [line]\n for line in f:\n if not line.startswith('___'):\n record.append(line)\n else:\n posts.append(Post.from_markdown(record))\n record = []\n daterank = defaultdict(int)\n for post in posts:\n daterank[post.date] += 1\n post.daterank = daterank[post.date]\n for post1, post2 in zip(posts[:-1], posts[1:]):\n if post1.date > post2.date:\n error('Posts are not ordered', f'{post1.date} > {post2.date}')\n return title, posts\n\n\ndef print_markdown(posts, title, fullname):\n with open(fullname, 'wt', encoding='utf-8') as fdst:\n print(f'# {title}\\n', file=fdst)\n for post in posts:\n date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'\n print(date, file=fdst)\n if post.text:\n print(file=fdst)\n for line in post.text.splitlines():\n if not line:\n print(file=fdst)\n else:\n for chunk in textwrap.wrap(line, width=78):\n print(chunk, file=fdst)\n if post.medias:\n print(file=fdst)\n for media in post.medias:\n print(media.to_markdown(), file=fdst)\n print('______', file=fdst)\n\n\n<mask token>\n\n\ndef print_html(args, posts, title, html_name, target='regular'):\n assert target in ('regular', 'blogger')\n with io.StringIO() as f:\n print_html_to_stream(args, posts, title, f, target)\n html = f.getvalue()\n if html_name:\n if os.path.exists(html_name):\n with open(html_name, 'rt', encoding='utf-8') as f:\n html0 = f.read()\n if html == html0:\n return None\n with open(html_name, 'wt', encoding='utf-8') as f:\n f.write(html)\n return None\n else:\n return html\n\n\n<mask token>\n\n\ndef is_image_file(name):\n return os.path.splitext(name)[1].lower() in ('.jpg', '.jpeg', '.png',\n '.gif', '.bmp', '.webp', '.tif')\n\n\n<mask token>\n\n\ndef is_media(name):\n return is_image_file(name) or is_video_file(name)\n\n\n<mask token>\n\n\ndef date_from_name(name):\n if (match := re.search('(?:\\\\D|^)(\\\\d{8})(?:\\\\D|$)', name, re.ASCII)):\n digits = match.group(1)\n if validate_date(digits):\n return digits\n return None\n\n\ndef date_from_item(filename):\n if (date := date_from_name(filename)):\n return date\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')\n\n\ndef time_from_name(name):\n if (match := re.search('(?:\\\\D|^)(\\\\d{8})\\\\D(\\\\d{6})(?:\\\\D|$)', name,\n re.ASCII)):\n digits = match.group(2)\n hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits\n [4:6])\n if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:\n return digits\n return None\n\n\ndef time_from_item(filename):\n if (time := time_from_name(filename)):\n return time\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')\n\n\n<mask token>\n\n\ndef get_image_info(filename):\n date = date_from_item(filename)\n time = time_from_item(filename)\n img = Image.open(filename)\n width, height = img.size\n size = round(os.path.getsize(filename) / 1000000.0, 1)\n return (date, time, width, height, size\n ), f'{date} {time}, dim={width}x{height}, {size} MB'\n\n\ndef get_video_info(filename, info_fullname):\n if os.path.exists(info_fullname):\n with open(info_fullname) as f:\n info = f.readline().split()\n date, time, width, height, size, duration, fps = info[0], info[1], int(\n info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6]\n )\n formatted_info = format_video_info(date, time, width, height, size,\n duration, fps)\n return (date, time, width, height, size, duration, fps), formatted_info\n else:\n info, formatted_info = make_video_info(filename, info_fullname)\n with open(info_fullname, 'wt') as f:\n print(' '.join([str(_) for _ in info]), file=f)\n return info, formatted_info\n\n\ndef make_video_info(filename, info_fullname):\n date = date_from_item(filename)\n time = time_from_item(filename)\n command = [*FFPROBE_CMD.split(), filename]\n try:\n output = check_output(command, stderr=STDOUT).decode()\n width, height, fps, duration = parse_ffprobe_output(output)\n size = round(os.path.getsize(filename) / 1000000.0, 1)\n output = format_video_info(date, time, width, height, size,\n duration, fps)\n except CalledProcessError as e:\n output = e.output.decode()\n warning(output)\n raise\n return (date, time, width, height, size, duration, fps), output\n\n\ndef parse_ffprobe_output(ffprobe_output):\n match = re.match(\n '(\\\\d+),(\\\\d+),(\\\\d+)/(\\\\d+),(\\\\d+/\\\\d+).*\\\\s(\\\\d+\\\\.\\\\d+)',\n ffprobe_output, re.DOTALL)\n width = int(match.group(1))\n height = int(match.group(2))\n fps = round(int(match.group(3)) / int(match.group(4)), 1)\n duration = round(float(match.group(6)))\n return width, height, fps, duration\n\n\ndef format_video_info(date, time, width, height, size, duration, fps):\n return (\n f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'\n )\n\n\n<mask token>\n\n\ndef thumbname(name, key):\n return key + '-' + name + '.jpg'\n\n\ndef size_thumbnail(width, height, maxdim):\n if width >= height:\n return maxdim, int(round(maxdim * height / width))\n else:\n return int(round(maxdim * width / height)), maxdim\n\n\ndef make_thumbnail_image(args, image_name, thumb_name, size):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_image(image_name, thumb_name, size)\n\n\ndef create_thumbnail_image(image_name, thumb_name, size):\n imgobj = Image.open(image_name)\n if imgobj.mode != 'RGBA' and image_name.endswith('.jpg') and not (\n image_name.endswith('.gif') and imgobj.info.get('transparency')):\n imgobj = imgobj.convert('RGBA')\n imgobj.thumbnail(size, Image.LANCZOS)\n imgobj = imgobj.convert('RGB')\n imgobj.save(thumb_name)\n\n\ndef make_thumbnail_video(args, video_name, thumb_name, size, duration):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_video(args, video_name, thumb_name, size, duration)\n\n\n<mask token>\n\n\ndef create_thumbnail_video(args, filename, thumbname, size, duration):\n delay = min(duration - 1, args.thumbnails.thumbdelay)\n sizearg = '%dx%d' % size\n command = (\n 'ffmpeg -y -v error -itsoffset -%d -i \"%s\" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s \"%s\"'\n )\n command = command % (delay, filename, sizearg, thumbname)\n result = os.system(command)\n try:\n img1 = Image.open(thumbname)\n except:\n warning('Unable to save thumbnail for', filename)\n return\n img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))\n width, height = img1.size\n img1.paste(img2, (6, height - 20 - 6), None)\n img1.save(thumbname)\n\n\n<mask token>\n\n\ndef create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):\n\n def size_thumbnail(width, height, xmax, ymax):\n width2 = xmax\n height2 = int(round(xmax * height / width))\n if height2 < ymax:\n width2 = int(round(ymax * width / height))\n height2 = ymax\n return width2, height2\n thumblist = [os.path.basename(item.thumb) for item in items]\n widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size\n , thumblist)\n thumbnum = widthnum * heightnum\n img = Image.new('RGB', size, SUBDIR_BACKCOL)\n for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):\n row = ind // widthnum\n col = ind % widthnum\n img2 = Image.open(os.path.join(thumbdir, thumb))\n w, h = size_thumbnail(*img2.size, width[col], height[row])\n cropdim = (w - width[col]) // 2, (h - height[row]) // 2, (w - width\n [col]) // 2 + width[col], (h - height[row]) // 2 + height[row]\n img2 = img2.resize((w, h), Image.LANCZOS)\n img2 = img2.crop(cropdim)\n img.paste(img2, (offsetx[col], offsety[row]))\n if os.path.exists(thumb_name):\n imgref = Image.open(thumb_name)\n byteio = io.BytesIO()\n img.save(byteio, 'JPEG')\n byteio.seek(0)\n imgnew = Image.open(byteio)\n diff = ImageChops.difference(imgnew, imgref)\n if diff.getbbox() is None:\n return\n img.save(thumb_name)\n\n\ndef mosaic_geometry(size, thumblist):\n if len(thumblist) == 1:\n widthnum = 1\n heightnum = 1\n elif len(thumblist) <= 3:\n widthnum = 1\n heightnum = 2\n elif len(thumblist) <= 8:\n widthnum = 2\n heightnum = 2\n else:\n widthnum = 3\n heightnum = 3\n if widthnum == 1:\n width = [size[0] - 2]\n else:\n width = [size[0] // widthnum - 2] * (widthnum - 1)\n width.append(size[0] - (1 + sum(width) + 2 * len(width) + 1))\n if heightnum == 1:\n height = [size[1] - 2]\n else:\n height = [size[1] // heightnum - 2] * (heightnum - 1)\n height.append(size[1] - (1 + sum(height) + 2 * len(height) + 1))\n offsetx = [1]\n for w in width[:-1]:\n offsetx.append(offsetx[-1] + w + 2)\n offsety = [1]\n for h in height[:-1]:\n offsety.append(offsety[-1] + h + 2)\n return widthnum, heightnum, width, height, offsetx, offsety\n\n\n<mask token>\n\n\ndef list_of_htmlfiles_in_items(itemlist):\n htmlist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n htmlist.append(item.htmname)\n htmlist.extend(list_of_htmlfiles_in_items(item.sublist))\n return htmlist\n\n\ndef list_of_thumbnails(posts, diary=False):\n thumblist = list()\n for post in posts:\n thumblist.extend(list_of_thumbnails_in_items(post.medias))\n if diary is False:\n thumblist.extend(list_of_thumbnails_in_items(post.dcim))\n return thumblist\n\n\ndef list_of_thumbnails_in_items(itemlist):\n thumblist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n thumblist.append(os.path.basename(item.thumb))\n thumblist.extend(list_of_thumbnails_in_items(item.sublist))\n else:\n thumblist.append(os.path.basename(item.thumb))\n return thumblist\n\n\ndef purge_htmlfiles(args, posts):\n \"\"\"\n Purge root dir from irrelevant html files\n \"\"\"\n htmlist = list_of_htmlfiles(args, posts)\n html_to_remove = list()\n for fullname in glob.glob(os.path.join(args.root, '*.htm*')):\n if fullname not in htmlist:\n html_to_remove.append(fullname)\n if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(\n f'{len(html_to_remove)} html files to remove. Continue [y|n]? '\n ).lower()\n if inpt == 'n':\n return\n for name in html_to_remove:\n print('Removing html files', name)\n os.remove(name)\n\n\ndef purge_thumbnails(args, thumbdir, posts, diary=False):\n \"\"\"\n Purge thumbnail dir from irrelevant thumbnails\n \"\"\"\n thumblist = list_of_thumbnails(posts, diary)\n thumbs_to_remove = list()\n for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):\n if os.path.basename(fullname) not in thumblist:\n thumbs_to_remove.append(fullname)\n if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(\n f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? '\n ).lower()\n if inpt == 'n':\n return\n for name in thumbs_to_remove:\n print('Removing thumbnail', name)\n os.remove(name)\n info_fullname = os.path.splitext(name)[0] + '.info'\n if os.path.exists(info_fullname):\n os.remove(info_fullname)\n\n\ndef is_media_within_dates(fullname, dates):\n if is_media(fullname):\n if type(dates) == tuple:\n return dates[0] <= date_from_item(fullname) <= dates[1]\n else:\n return True\n else:\n return False\n\n\ndef sorted_listdir(filelist):\n like_windows_explorer = True\n if not filelist:\n return filelist\n if like_windows_explorer:\n maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)\n\n def keyfunc(name):\n root, ext = os.path.splitext(name.lower())\n return root.ljust(maxlen, ' ') + ext\n else:\n keyfunc = str.lower\n return sorted(filelist, key=keyfunc)\n\n\ndef list_of_files(sourcedir, recursive):\n \"\"\"\n Return the list of full paths for files in source directory\n \"\"\"\n result = list()\n if recursive is False:\n listdir = sorted_listdir(os.listdir(sourcedir))\n if '.nomedia' not in listdir:\n for basename in listdir:\n result.append(os.path.join(sourcedir, basename))\n else:\n for root, dirs, files in os.walk(sourcedir):\n if '.nomedia' not in files:\n for basename in sorted_listdir(files):\n result.append(os.path.join(root, basename))\n return result\n\n\ndef list_of_medias(args, sourcedir, recursive):\n \"\"\"\n Return the list of full paths for pictures and movies in source directory\n \"\"\"\n files = list_of_files(sourcedir, recursive)\n return [_ for _ in files if is_media_within_dates(_, args.dates)]\n\n\n<mask token>\n\n\ndef dispatch_post_items(list_of_post_items):\n subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]\n medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]\n return subdirs, medias\n\n\ndef create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):\n if os.path.isfile(media_fullname):\n if is_image_file(media_fullname):\n return create_item_image(args, media_fullname, sourcedir,\n thumbdir, key, thumbmax)\n else:\n return create_item_video(args, media_fullname, sourcedir,\n thumbdir, key, thumbmax)\n else:\n return create_item_subdir(args, media_fullname, sourcedir, thumbdir,\n key, thumbmax)\n\n\ndef create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax\n ):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n try:\n info, infofmt = get_image_info(media_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)\n return PostImage(None, media_fullname, '/'.join((args.thumbrep,\n thumb_basename)), thumbsize, infofmt)\n except PIL.UnidentifiedImageError:\n warning('Unable to read image', media_fullname)\n return None\n\n\ndef create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax\n ):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'\n try:\n info, infofmt = get_video_info(media_fullname, info_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_video(args, media_fullname, thumb_fullname,\n thumbsize, duration=info[5])\n return PostVideo(None, media_fullname, '/'.join((args.thumbrep,\n thumb_basename)), thumbsize, infofmt)\n except CalledProcessError:\n warning('Unable to read video', media_fullname)\n return None\n\n\n<mask token>\n\n\ndef relative_name(media_fullname, sourcedir):\n \"\"\"\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg\n -->\n deeper2_deepest_OCT_20000112_000004.jpg\n\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest\n -->\n deeper2_deepest\n \"\"\"\n x = os.path.relpath(media_fullname, sourcedir)\n x = x.replace('\\\\', '_').replace('/', '_').replace('#', '_')\n return x\n\n\n<mask token>\n\n\ndef make_posts_from_diary(args):\n md_filename = os.path.join(args.root, 'index.md')\n if os.path.exists(md_filename):\n title, posts = parse_markdown(md_filename)\n else:\n error('File not found', md_filename)\n for post in posts:\n for media in post.medias:\n media_fullname = os.path.join(args.root, media.uri)\n item = create_item(args, media_fullname, args.root, args.\n thumbdir, 'post', 400)\n media.thumb = item.thumb\n media.thumbsize = item.thumbsize\n media.descr = item.descr\n return title, posts\n\n\ndef create_items_by_date(args, medias, posts):\n if args.dates == 'diary':\n required_dates = {post.date for post in posts}\n else:\n required_dates = {date_from_item(media) for media in medias}\n if type(args.dates) == tuple:\n date1, date2 = args.dates\n required_dates = {date for date in required_dates if date1 <=\n date <= date2}\n bydate = defaultdict(list)\n for media_fullname in medias:\n date = date_from_item(media_fullname)\n if date in required_dates:\n item = create_item(args, media_fullname, args.sourcedir, args.\n thumbdir, 'dcim', 300)\n if item:\n bydate[date].append(item)\n for date, liste in bydate.items():\n liste.sort(key=lambda item: time_from_item(item.uri))\n return bydate\n\n\n<mask token>\n\n\ndef make_posts_from_subdir(args, dirname):\n if args.bydir is False:\n medias_ext = list_of_medias(args, dirname, args.recursive)\n else:\n medias_ext = list_of_medias_ext(args, dirname)\n postmedias = list()\n for item in medias_ext:\n postmedia = create_item(args, item, args.sourcedir, args.thumbdir,\n 'dcim', 300)\n if postmedia is not None:\n postmedias.append(postmedia)\n post = Post(date='00000000', text='', medias=[])\n post.dcim = postmedias\n posts = [post]\n title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.\n sourcedir)[0]\n return title, posts\n\n\n<mask token>\n\n\ndef create_gallery(args):\n title, posts = make_posts(args, args.sourcedir)\n print_html(args, posts, title, os.path.join(args.dest, args.rootname),\n 'regular')\n purge_htmlfiles(args, posts)\n if args.diary and not args.sourcedir:\n purge_thumbnails(args, args.thumbdir, posts, diary=True)\n else:\n purge_thumbnails(args, args.thumbdir, posts)\n\n\ndef create_diary(args):\n medias = list_of_medias(args, args.sourcedir, args.recursive)\n if args.dates == 'diary':\n assert 0\n else:\n required_dates = {date_from_item(media) for media in medias}\n if type(args.dates) == tuple:\n date1, date2 = args.dates\n required_dates = {date for date in required_dates if date1 <=\n date <= date2}\n title = args.sourcedir\n posts = list()\n for date in sorted(required_dates):\n posts.append(Post.from_date(date))\n os.makedirs(args.root, exist_ok=True)\n print_markdown(posts, title, os.path.join(args.root, 'index.md'))\n\n\ndef online_images_url(args):\n try:\n if args.urlblogger.startswith('http:') or args.urlblogger.startswith(\n 'https:'):\n with urlopen(args.urlblogger) as u:\n buffer = u.read()\n else:\n with open(args.urlblogger, 'rb') as f:\n buffer = f.read()\n except:\n error('Unable to read url', args.urlblogger)\n buffer = buffer.decode('utf-8')\n online_images = dict()\n for match in re.finditer('<div class=\"separator\"((?!<div).)*?</div>',\n buffer, flags=re.DOTALL):\n div_separator = match.group(0)\n div_separator = div_separator.replace(' ', '')\n elem_div = objectify.fromstring(div_separator)\n for elem_a in elem_div.iterchildren(tag='a'):\n href = elem_a.get('href')\n thumb = elem_a.img.get('src')\n online_images[os.path.basename(href)] = href, thumb\n online_videos = list()\n for match in re.finditer(\n '<iframe allowfullscreen=\"allowfullscreen\".*?</iframe>', buffer,\n flags=re.DOTALL):\n iframe = match.group(0)\n online_videos.append(iframe)\n return online_images, online_videos\n\n\ndef compare_image_buffers(imgbuf1, imgbuf2):\n \"\"\"\n return True if images read on file are identical, False otherwise\n \"\"\"\n with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:\n img1 = Image.open(imgio1)\n img2 = Image.open(imgio2)\n diff = ImageChops.difference(img1, img2)\n return not diff.getbbox()\n\n\ndef check_images(args, posts, online_images):\n result = True\n for post in posts:\n for media in post.medias:\n if type(media) is PostImage:\n if media.basename in online_images:\n with open(os.path.join(args.root, media.uri), 'rb') as f:\n imgbuf1 = f.read()\n try:\n with urlopen(online_images[media.basename][0]) as u:\n imgbuf2 = u.read()\n except FileNotFoundError:\n print('File not found', online_images[media.\n basename][0])\n next\n if compare_image_buffers(imgbuf1, imgbuf2) is False:\n print('Files are different, upload', media.basename)\n elif 1:\n print('File already online', media.basename)\n else:\n print('File is absent, upload', media.basename)\n result = False\n elif type(media) is PostVideo:\n print('Video not checked', media.basename)\n else:\n assert False\n return result\n\n\ndef compose_blogger_html(args, title, posts, imgdata, online_videos):\n \"\"\" Compose html with blogger image urls\n \"\"\"\n for post in posts:\n for media in post.medias:\n if type(media) is PostImage:\n if media.uri not in imgdata:\n print('Image missing: ', media.uri)\n else:\n img_url, resized_url = imgdata[media.uri]\n media.uri = img_url\n media.resized_url = resized_url\n elif type(media) is PostVideo:\n if not online_videos:\n print('Video missing: ', media.uri)\n else:\n media.iframe = online_videos[0]\n del online_videos[0]\n else:\n assert False\n return print_html(args, posts, title, '', target='blogger')\n\n\ndef prepare_for_blogger(args):\n \"\"\"\n Export blogger html to clipboard.\n If --full, export complete html, otherwise export html extract ready to\n paste into blogger edit mode.\n \"\"\"\n title, posts = parse_markdown(os.path.join(args.root, 'index.md'))\n online_images, online_videos = online_images_url(args)\n if args.check_images and check_images(args, posts, online_images) is False:\n pass\n html = compose_blogger_html(args, title, posts, online_images,\n online_videos)\n if args.full is False:\n html = re.search('<body>(.*)?</body>', html, flags=re.DOTALL).group(1)\n html = re.sub('<script>.*?</script>', '', html, flags=re.DOTALL)\n html = STYLE.replace('%%', '%') + html\n if args.dest:\n with open(args.dest, 'wt', encoding='utf-8') as f:\n f.write(html)\n else:\n clipboard.copy(html)\n\n\ndef idempotence(args):\n \"\"\"\n For testing identity between a diary file and the fle obtained after reading\n and printing it. See testing.\n \"\"\"\n title, posts = parse_markdown(os.path.join(args.root, 'index.md'))\n print_markdown(posts, title, os.path.join(args.dest, 'index.md'))\n\n\n<mask token>\n\n\nclass MyConfigParser(ConfigParser):\n \"\"\"Add input checking.\"\"\"\n\n def __init__(self):\n ConfigParser.__init__(self, inline_comment_prefixes=(';',))\n\n def error(self, section, entry):\n error('Missing or incorrect config value:', '[%s]%s' % (section, entry)\n )\n\n def getint(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getint(self, section, entry)\n else:\n return ConfigParser.getint(self, section, entry, raw=True,\n vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n def getboolean(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getboolean(self, section, entry)\n else:\n return ConfigParser.getboolean(self, section, entry, raw=\n True, vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n\ndef configfilename(params):\n return os.path.join(params.root, '.config.ini')\n\n\ndef createconfig(config_filename):\n with open(config_filename, 'wt') as f:\n f.writelines(CONFIG_DEFAULTS)\n\n\ndef read_config(params):\n config_filename = configfilename(params)\n try:\n if not os.path.exists(config_filename) or params.resetcfg:\n createconfig(config_filename)\n except:\n error('Error creating configuration file')\n try:\n getconfig(params, config_filename)\n except Exception as e:\n error('Error reading configuration file.', str(e), 'Use --resetcfg')\n\n\ndef getconfig(options, config_filename):\n\n\n class Section:\n pass\n options.source = Section()\n options.thumbnails = Section()\n options.photobox = Section()\n config = MyConfigParser()\n config.read(config_filename)\n options.source.sourcedir = config.get('source', 'sourcedir')\n options.source.bydir = config.getboolean('source', 'bydir')\n options.source.bydate = config.getboolean('source', 'bydate')\n options.source.diary = config.getboolean('source', 'diary')\n options.source.recursive = config.getboolean('source', 'recursive')\n options.source.dates = config.get('source', 'dates')\n options.source.github_pages = config.getboolean('source',\n 'github_pages', default=False)\n options.thumbnails.media_description = config.getboolean('thumbnails',\n 'media_description')\n options.thumbnails.subdir_caption = config.getboolean('thumbnails',\n 'subdir_caption')\n options.thumbnails.thumbdelay = config.getint('thumbnails', 'thumbdelay')\n options.thumbnails.threshold_thumbs = config.getint('thumbnails',\n 'threshold_thumbs')\n options.thumbnails.threshold_htmlfiles = config.getint('thumbnails',\n 'threshold_htmlfiles', default=3)\n options.photobox.loop = config.getboolean('photobox', 'loop')\n options.photobox.thumbs = config.getboolean('photobox', 'thumbs')\n options.photobox.autoplay = config.getboolean('photobox', 'autoplay')\n options.photobox.time = config.getint('photobox', 'time')\n options.photobox.zoomable = config.getboolean('photobox', 'zoomable')\n options.photobox.rotatable = config.getboolean('photobox', 'rotatable')\n options.photobox.wheelNextPrev = config.getboolean('photobox',\n 'wheelNextPrev')\n\n\n<mask token>\n\n\ndef setconfig_cmd(args):\n config_filename = configfilename(args)\n setconfig(config_filename, *args.setcfg)\n\n\ndef update_config(args):\n updates = ('sourcedir', args.sourcedir), ('bydir', BOOL[args.bydir]), (\n 'bydate', BOOL[args.bydate]), ('diary', BOOL[args.diary]), ('recursive'\n , BOOL[args.recursive]), ('dates', args.dates), ('github_pages',\n BOOL[args.github_pages])\n cfgname = configfilename(args)\n with open(cfgname) as f:\n cfglines = [_.strip() for _ in f.readlines()]\n for key, value in updates:\n for iline, line in enumerate(cfglines):\n if line.startswith(key):\n cfglines[iline] = f'{key} = {value}'\n break\n with open(cfgname, 'wt') as f:\n for line in cfglines:\n print(line, file=f)\n\n\ndef warning(*msg):\n print(colorama.Fore.YELLOW + colorama.Style.BRIGHT + ' '.join(msg),\n colorama.Style.RESET_ALL)\n\n\n<mask token>\n\n\ndef errorcode(msg):\n return ERRORS.splitlines().index(msg) + 1\n\n\ndef error(*msg):\n print(colorama.Fore.RED + colorama.Style.BRIGHT + ' '.join(msg),\n colorama.Style.RESET_ALL)\n sys.exit(errorcode(msg[0]))\n\n\n<mask token>\n\n\ndef setup_part1(args):\n \"\"\"\n Made before reading config file (config file located in args.root).\n Check and normalize root path.\n \"\"\"\n args.rootarg = args.root\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext == '':\n pass\n else:\n args.root = os.path.dirname(args.root)\n if args.root:\n args.root = os.path.abspath(args.root)\n if not os.path.isdir(args.root):\n if args.gallery:\n os.mkdir(args.root)\n else:\n error('Directory not found', args.root)\n\n\ndef setup_part2(args):\n \"\"\"\n Made after reading config file.\n Check for ffmpeg in path.\n Create .thumbnails dir if necessary and create .nomedia in it.\n Copy photobox file to destination dir.\n Handle priority between command line and config file.\n \"\"\"\n if args.update:\n args.sourcedir = args.source.sourcedir\n args.bydir = args.source.bydir\n args.bydate = args.source.bydate\n args.diary = args.source.diary\n args.recursive = args.source.recursive\n args.dates = args.source.dates\n args.github_pages = args.source.github_pages\n elif args.gallery:\n args.source.sourcedir = args.sourcedir\n args.source.bydir = args.bydir\n args.source.bydate = args.bydate\n args.source.diary = args.diary\n args.source.recursive = args.recursive\n args.source.dates = args.dates\n args.source.github_pages = args.github_pages\n update_config(args)\n if args.github_pages:\n args.html_suffix = '.html'\n else:\n args.html_suffix = '.htm'\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext:\n args.rootname = os.path.basename(args.rootarg)\n else:\n args.rootname = 'index' + args.html_suffix\n if args.sourcedir:\n args.sourcedir = os.path.abspath(args.sourcedir)\n if os.path.splitdrive(args.sourcedir)[0]:\n drive, rest = os.path.splitdrive(args.sourcedir)\n args.sourcedir = drive.upper() + rest\n if not os.path.isdir(args.sourcedir):\n error('Directory not found', args.sourcedir)\n elif args.gallery and args.diary is False and args.update is None:\n error('Directory not found', 'Use --sourcedir')\n if args.dest:\n args.dest = os.path.abspath(args.dest)\n if args.dest is None:\n args.dest = args.root\n if args.blogger and args.urlblogger is None:\n error('No blogger url (--url)')\n if args.gallery or args.update:\n for exe in ('ffmpeg', 'ffprobe'):\n try:\n check_output([exe, '-version'])\n except FileNotFoundError:\n error('File not found', exe)\n if args.github_pages:\n args.thumbrep = 'thumbnails'\n else:\n args.thumbrep = '.thumbnails'\n args.thumbdir = os.path.join(args.dest, args.thumbrep)\n if not os.path.exists(args.thumbdir):\n os.mkdir(args.thumbdir)\n open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()\n favicondst = os.path.join(args.dest, 'favicon.ico')\n if not os.path.isfile(favicondst):\n faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')\n shutil.copyfile(faviconsrc, favicondst)\n photoboxdir = os.path.join(args.dest, 'photobox')\n if not os.path.exists(photoboxdir):\n photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')\n shutil.copytree(photoboxsrc, photoboxdir)\n if args.dates:\n if not (args.gallery or args.create):\n pass\n if args.dates == 'source':\n pass\n elif args.dates == 'diary':\n if args.create:\n error('Incorrect date format', args.dates)\n elif re.match('\\\\d+-\\\\d+', args.dates):\n date1, date2 = args.dates.split('-')\n if validate_date(date1) and validate_date(date2):\n args.dates = date1, date2\n else:\n error('Incorrect date format', args.dates)\n else:\n error('Incorrect date format', args.dates)\n\n\ndef main(argstring=None):\n colorama.init()\n args = parse_command_line(argstring)\n setup_part1(args)\n read_config(args)\n setup_part2(args)\n try:\n if args.gallery or args.update:\n create_gallery(args)\n elif args.create:\n create_diary(args)\n elif args.blogger:\n prepare_for_blogger(args)\n elif args.idem:\n idempotence(args)\n elif args.setcfg:\n setconfig_cmd(args)\n except KeyboardInterrupt:\n warning('Interrupted by user.')\n\n\n<mask token>\n",
"step-4": "<mask token>\n\n\nclass Post:\n\n def __init__(self, date, text, medias):\n self.date = date\n self.text = text\n self.medias = medias\n self.dcim = []\n self.daterank = 0\n self.extra = False\n\n def __lt__(self, other):\n return self.date < other.date\n\n @classmethod\n def from_markdown(cls, post):\n m = re.match('\\\\[(\\\\d\\\\d\\\\d\\\\d/\\\\d\\\\d/\\\\d\\\\d)\\\\]\\\\n*', post[0])\n if m:\n date = m.group(1).replace('/', '')\n if not validate_date(date):\n error('Incorrect date value:', date)\n del post[0]\n else:\n error('No date in post', ' '.join(post))\n while post and not post[0].strip():\n del post[0]\n text = ''\n while post and not re.match('!?\\\\[\\\\]', post[0]):\n text += post[0]\n del post[0]\n text = re.sub('\\\\n\\\\n$', '\\n', text)\n medias = list()\n while post and (match := re.match('!?\\\\[\\\\]\\\\((.*)\\\\)', post[0])):\n media = match.group(1)\n caption = None\n del post[0]\n if post and not re.match('!?\\\\[\\\\]', post[0]):\n caption = post[0].strip()\n del post[0]\n if match.group(0)[0] == '!':\n medias.append(PostImage(caption, media))\n else:\n medias.append(PostVideo(caption, media))\n return cls(date, text, medias)\n\n @classmethod\n def from_date(cls, date):\n dt = datetime.datetime.strptime(date, '%Y%m%d')\n datetext = dt.strftime('%A %d %B %Y').capitalize()\n post = cls(date, text=datetext, medias=[])\n post.daterank = 1\n return post\n\n def to_html(self, args, target='regular'):\n if target == 'regular':\n if args.diary:\n return self.to_html_diary(args)\n else:\n return self.to_html_regular(args)\n if target == 'blogger':\n return self.to_html_blogger()\n\n def to_html_regular(self, args):\n html = list()\n if self.text:\n html.append(markdown.markdown(self.text))\n subdirs, dcim = dispatch_post_items(self.dcim)\n if self.dcim:\n html.append(SEP)\n for media in subdirs:\n html.append(media.to_html_dcim(args))\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n html.append(SEP)\n return html\n\n def to_html_diary(self, args):\n html = list()\n if self.extra:\n html.append('<div class=\"extra\">')\n if self.text:\n html.append(markdown.markdown(self.text))\n if self.medias:\n html.append(f'<div id=\"gallery-blog-{self.date}-{self.daterank}\">')\n for media in self.medias:\n html.append(media.to_html_post(args))\n html.append('</div>')\n _, dcim = dispatch_post_items(self.dcim)\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n html.append(SEP)\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n html.append(SEP)\n if self.extra:\n html.append('</div>')\n return html\n\n def to_html_blogger(self):\n html = list()\n html.append(markdown.markdown(self.text))\n for image in self.medias:\n html.append(image.to_html_blogger())\n html.append(SEP)\n return html\n\n\nclass PostItem:\n\n def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):\n self.caption = caption\n self.uri = uri\n self.basename = os.path.basename(uri)\n self.thumb = thumb\n self.thumbsize = thumbsize\n self.descr = descr\n self.resized_url = None\n\n\nclass PostImage(PostItem):\n\n def to_markdown(self):\n if not self.caption:\n return '' % (self.uri,)\n else:\n return '\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,\n descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *\n self.thumbsize, descr)\n\n def to_html_blogger(self):\n if not self.caption:\n return BIMGPAT % (self.uri, self.resized_url)\n else:\n return f'{BIMGPAT}\\n{CAPTION_PAT}' % (self.uri, self.\n resized_url, self.caption)\n\n\nclass PostVideo(PostItem):\n\n def to_markdown(self):\n if not self.caption:\n return '[](%s)' % (self.uri,)\n else:\n return '[](%s)\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize,\n descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *\n self.thumbsize, descr)\n\n def to_html_blogger(self):\n x = f'<p style=\"text-align: center;\">{self.iframe}</p>'\n if not self.caption:\n return x\n else:\n return f'%s\\n{CAPTION_PAT}' % (x, self.caption)\n\n\nclass PostSubdir(PostItem):\n\n def to_html_dcim(self, args):\n basename = os.path.basename(self.htmname)\n posts = self.posts\n title = self.caption\n print_html(args, posts, title, self.htmname)\n if not self.caption:\n return DIRPOST % (basename, self.thumb, *self.thumbsize)\n else:\n return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize,\n self.caption)\n\n\ndef relative_url(path, root):\n \"\"\"\n returns a normalized url to path relative from root\n \"\"\"\n try:\n url = os.path.relpath(path, root)\n except:\n error('Unable to make a relative url:', url, root)\n url = url.replace('\\\\', '/') if os.sep == '\\\\' else url\n return urllib.parse.quote(url)\n\n\ndef parse_markdown(filename):\n \"\"\"\n Generate Post objects from markdown. Date must be present in each post and\n posts must be ordrered by date.\n \"\"\"\n if not os.path.exists(filename):\n error('File not found', filename)\n posts = list()\n with open(filename, encoding='utf-8') as f:\n line = next(f)\n if line.startswith('# '):\n title = line[2:].strip()\n record = []\n next(f)\n else:\n title = None\n record = [line]\n for line in f:\n if not line.startswith('___'):\n record.append(line)\n else:\n posts.append(Post.from_markdown(record))\n record = []\n daterank = defaultdict(int)\n for post in posts:\n daterank[post.date] += 1\n post.daterank = daterank[post.date]\n for post1, post2 in zip(posts[:-1], posts[1:]):\n if post1.date > post2.date:\n error('Posts are not ordered', f'{post1.date} > {post2.date}')\n return title, posts\n\n\ndef print_markdown(posts, title, fullname):\n with open(fullname, 'wt', encoding='utf-8') as fdst:\n print(f'# {title}\\n', file=fdst)\n for post in posts:\n date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'\n print(date, file=fdst)\n if post.text:\n print(file=fdst)\n for line in post.text.splitlines():\n if not line:\n print(file=fdst)\n else:\n for chunk in textwrap.wrap(line, width=78):\n print(chunk, file=fdst)\n if post.medias:\n print(file=fdst)\n for media in post.medias:\n print(media.to_markdown(), file=fdst)\n print('______', file=fdst)\n\n\ndef compose_html_reduced(args, posts, title, target):\n html = list()\n html.append(START % title)\n for post in posts:\n for line in post.to_html(args, target):\n html.append(line.strip())\n html.append('')\n html.append(END)\n return html\n\n\ndef compose_html_full(args, posts, title, target):\n html = list()\n html.append(START % title)\n if args.diary:\n html.append(BUTTONS)\n for post in posts:\n for line in post.to_html(args, target):\n html.append(line.strip())\n html.append('')\n html.append('<script>')\n for post in posts:\n if post.medias:\n gallery_id = f'gallery-blog-{post.date}-{post.daterank}'\n html.append(gallery_call(args, gallery_id))\n if post.dcim:\n gallery_id = f'gallery-dcim-{post.date}-{post.daterank}'\n html.append(gallery_call(args, gallery_id))\n html.append('</script>')\n html.append(END)\n return html\n\n\ndef print_html_to_stream(args, posts, title, stream, target):\n if target == 'regular':\n for line in compose_html_full(args, posts, title, target):\n print(line, file=stream)\n else:\n for line in compose_html_reduced(args, posts, title, target):\n print(line, file=stream)\n\n\ndef print_html(args, posts, title, html_name, target='regular'):\n assert target in ('regular', 'blogger')\n with io.StringIO() as f:\n print_html_to_stream(args, posts, title, f, target)\n html = f.getvalue()\n if html_name:\n if os.path.exists(html_name):\n with open(html_name, 'rt', encoding='utf-8') as f:\n html0 = f.read()\n if html == html0:\n return None\n with open(html_name, 'wt', encoding='utf-8') as f:\n f.write(html)\n return None\n else:\n return html\n\n\n<mask token>\n\n\ndef is_image_file(name):\n return os.path.splitext(name)[1].lower() in ('.jpg', '.jpeg', '.png',\n '.gif', '.bmp', '.webp', '.tif')\n\n\ndef is_video_file(name):\n return os.path.splitext(name)[1].lower() in ('.mp4', '.webm', '.mkv',\n '.flv', '.m4v', '.avi', '.wmv', '.mts', '.vob', '.divx')\n\n\ndef is_media(name):\n return is_image_file(name) or is_video_file(name)\n\n\ndef validate_date(datestr):\n try:\n datetime.datetime.strptime(datestr, '%Y%m%d')\n return True\n except ValueError:\n return False\n\n\ndef date_from_name(name):\n if (match := re.search('(?:\\\\D|^)(\\\\d{8})(?:\\\\D|$)', name, re.ASCII)):\n digits = match.group(1)\n if validate_date(digits):\n return digits\n return None\n\n\ndef date_from_item(filename):\n if (date := date_from_name(filename)):\n return date\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')\n\n\ndef time_from_name(name):\n if (match := re.search('(?:\\\\D|^)(\\\\d{8})\\\\D(\\\\d{6})(?:\\\\D|$)', name,\n re.ASCII)):\n digits = match.group(2)\n hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits\n [4:6])\n if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:\n return digits\n return None\n\n\ndef time_from_item(filename):\n if (time := time_from_name(filename)):\n return time\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')\n\n\n<mask token>\n\n\ndef get_image_info(filename):\n date = date_from_item(filename)\n time = time_from_item(filename)\n img = Image.open(filename)\n width, height = img.size\n size = round(os.path.getsize(filename) / 1000000.0, 1)\n return (date, time, width, height, size\n ), f'{date} {time}, dim={width}x{height}, {size} MB'\n\n\ndef get_video_info(filename, info_fullname):\n if os.path.exists(info_fullname):\n with open(info_fullname) as f:\n info = f.readline().split()\n date, time, width, height, size, duration, fps = info[0], info[1], int(\n info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6]\n )\n formatted_info = format_video_info(date, time, width, height, size,\n duration, fps)\n return (date, time, width, height, size, duration, fps), formatted_info\n else:\n info, formatted_info = make_video_info(filename, info_fullname)\n with open(info_fullname, 'wt') as f:\n print(' '.join([str(_) for _ in info]), file=f)\n return info, formatted_info\n\n\ndef make_video_info(filename, info_fullname):\n date = date_from_item(filename)\n time = time_from_item(filename)\n command = [*FFPROBE_CMD.split(), filename]\n try:\n output = check_output(command, stderr=STDOUT).decode()\n width, height, fps, duration = parse_ffprobe_output(output)\n size = round(os.path.getsize(filename) / 1000000.0, 1)\n output = format_video_info(date, time, width, height, size,\n duration, fps)\n except CalledProcessError as e:\n output = e.output.decode()\n warning(output)\n raise\n return (date, time, width, height, size, duration, fps), output\n\n\ndef parse_ffprobe_output(ffprobe_output):\n match = re.match(\n '(\\\\d+),(\\\\d+),(\\\\d+)/(\\\\d+),(\\\\d+/\\\\d+).*\\\\s(\\\\d+\\\\.\\\\d+)',\n ffprobe_output, re.DOTALL)\n width = int(match.group(1))\n height = int(match.group(2))\n fps = round(int(match.group(3)) / int(match.group(4)), 1)\n duration = round(float(match.group(6)))\n return width, height, fps, duration\n\n\ndef format_video_info(date, time, width, height, size, duration, fps):\n return (\n f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'\n )\n\n\ndef format_duration(duration):\n mn = duration // 60\n sec = duration % 60\n if mn <= 59:\n return f'm:s={mn:02}:{sec:02}'\n else:\n hour = mn // 60\n mn = mn % 60\n return f'h:m:s={hour:02}:{mn:02}:{sec:02}'\n\n\ndef thumbname(name, key):\n return key + '-' + name + '.jpg'\n\n\ndef size_thumbnail(width, height, maxdim):\n if width >= height:\n return maxdim, int(round(maxdim * height / width))\n else:\n return int(round(maxdim * width / height)), maxdim\n\n\ndef make_thumbnail_image(args, image_name, thumb_name, size):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_image(image_name, thumb_name, size)\n\n\ndef create_thumbnail_image(image_name, thumb_name, size):\n imgobj = Image.open(image_name)\n if imgobj.mode != 'RGBA' and image_name.endswith('.jpg') and not (\n image_name.endswith('.gif') and imgobj.info.get('transparency')):\n imgobj = imgobj.convert('RGBA')\n imgobj.thumbnail(size, Image.LANCZOS)\n imgobj = imgobj.convert('RGB')\n imgobj.save(thumb_name)\n\n\ndef make_thumbnail_video(args, video_name, thumb_name, size, duration):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_video(args, video_name, thumb_name, size, duration)\n\n\n<mask token>\n\n\ndef create_thumbnail_video(args, filename, thumbname, size, duration):\n delay = min(duration - 1, args.thumbnails.thumbdelay)\n sizearg = '%dx%d' % size\n command = (\n 'ffmpeg -y -v error -itsoffset -%d -i \"%s\" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s \"%s\"'\n )\n command = command % (delay, filename, sizearg, thumbname)\n result = os.system(command)\n try:\n img1 = Image.open(thumbname)\n except:\n warning('Unable to save thumbnail for', filename)\n return\n img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))\n width, height = img1.size\n img1.paste(img2, (6, height - 20 - 6), None)\n img1.save(thumbname)\n\n\ndef make_thumbnail_subdir(args, subdir_name, thumb_name, size, items, thumbdir\n ):\n print('Making thumbnail:', thumb_name)\n create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir)\n\n\ndef create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):\n\n def size_thumbnail(width, height, xmax, ymax):\n width2 = xmax\n height2 = int(round(xmax * height / width))\n if height2 < ymax:\n width2 = int(round(ymax * width / height))\n height2 = ymax\n return width2, height2\n thumblist = [os.path.basename(item.thumb) for item in items]\n widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size\n , thumblist)\n thumbnum = widthnum * heightnum\n img = Image.new('RGB', size, SUBDIR_BACKCOL)\n for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):\n row = ind // widthnum\n col = ind % widthnum\n img2 = Image.open(os.path.join(thumbdir, thumb))\n w, h = size_thumbnail(*img2.size, width[col], height[row])\n cropdim = (w - width[col]) // 2, (h - height[row]) // 2, (w - width\n [col]) // 2 + width[col], (h - height[row]) // 2 + height[row]\n img2 = img2.resize((w, h), Image.LANCZOS)\n img2 = img2.crop(cropdim)\n img.paste(img2, (offsetx[col], offsety[row]))\n if os.path.exists(thumb_name):\n imgref = Image.open(thumb_name)\n byteio = io.BytesIO()\n img.save(byteio, 'JPEG')\n byteio.seek(0)\n imgnew = Image.open(byteio)\n diff = ImageChops.difference(imgnew, imgref)\n if diff.getbbox() is None:\n return\n img.save(thumb_name)\n\n\ndef mosaic_geometry(size, thumblist):\n if len(thumblist) == 1:\n widthnum = 1\n heightnum = 1\n elif len(thumblist) <= 3:\n widthnum = 1\n heightnum = 2\n elif len(thumblist) <= 8:\n widthnum = 2\n heightnum = 2\n else:\n widthnum = 3\n heightnum = 3\n if widthnum == 1:\n width = [size[0] - 2]\n else:\n width = [size[0] // widthnum - 2] * (widthnum - 1)\n width.append(size[0] - (1 + sum(width) + 2 * len(width) + 1))\n if heightnum == 1:\n height = [size[1] - 2]\n else:\n height = [size[1] // heightnum - 2] * (heightnum - 1)\n height.append(size[1] - (1 + sum(height) + 2 * len(height) + 1))\n offsetx = [1]\n for w in width[:-1]:\n offsetx.append(offsetx[-1] + w + 2)\n offsety = [1]\n for h in height[:-1]:\n offsety.append(offsety[-1] + h + 2)\n return widthnum, heightnum, width, height, offsetx, offsety\n\n\n<mask token>\n\n\ndef list_of_htmlfiles_in_items(itemlist):\n htmlist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n htmlist.append(item.htmname)\n htmlist.extend(list_of_htmlfiles_in_items(item.sublist))\n return htmlist\n\n\ndef list_of_thumbnails(posts, diary=False):\n thumblist = list()\n for post in posts:\n thumblist.extend(list_of_thumbnails_in_items(post.medias))\n if diary is False:\n thumblist.extend(list_of_thumbnails_in_items(post.dcim))\n return thumblist\n\n\ndef list_of_thumbnails_in_items(itemlist):\n thumblist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n thumblist.append(os.path.basename(item.thumb))\n thumblist.extend(list_of_thumbnails_in_items(item.sublist))\n else:\n thumblist.append(os.path.basename(item.thumb))\n return thumblist\n\n\ndef purge_htmlfiles(args, posts):\n \"\"\"\n Purge root dir from irrelevant html files\n \"\"\"\n htmlist = list_of_htmlfiles(args, posts)\n html_to_remove = list()\n for fullname in glob.glob(os.path.join(args.root, '*.htm*')):\n if fullname not in htmlist:\n html_to_remove.append(fullname)\n if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(\n f'{len(html_to_remove)} html files to remove. Continue [y|n]? '\n ).lower()\n if inpt == 'n':\n return\n for name in html_to_remove:\n print('Removing html files', name)\n os.remove(name)\n\n\ndef purge_thumbnails(args, thumbdir, posts, diary=False):\n \"\"\"\n Purge thumbnail dir from irrelevant thumbnails\n \"\"\"\n thumblist = list_of_thumbnails(posts, diary)\n thumbs_to_remove = list()\n for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):\n if os.path.basename(fullname) not in thumblist:\n thumbs_to_remove.append(fullname)\n if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(\n f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? '\n ).lower()\n if inpt == 'n':\n return\n for name in thumbs_to_remove:\n print('Removing thumbnail', name)\n os.remove(name)\n info_fullname = os.path.splitext(name)[0] + '.info'\n if os.path.exists(info_fullname):\n os.remove(info_fullname)\n\n\ndef is_media_within_dates(fullname, dates):\n if is_media(fullname):\n if type(dates) == tuple:\n return dates[0] <= date_from_item(fullname) <= dates[1]\n else:\n return True\n else:\n return False\n\n\ndef sorted_listdir(filelist):\n like_windows_explorer = True\n if not filelist:\n return filelist\n if like_windows_explorer:\n maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)\n\n def keyfunc(name):\n root, ext = os.path.splitext(name.lower())\n return root.ljust(maxlen, ' ') + ext\n else:\n keyfunc = str.lower\n return sorted(filelist, key=keyfunc)\n\n\ndef list_of_files(sourcedir, recursive):\n \"\"\"\n Return the list of full paths for files in source directory\n \"\"\"\n result = list()\n if recursive is False:\n listdir = sorted_listdir(os.listdir(sourcedir))\n if '.nomedia' not in listdir:\n for basename in listdir:\n result.append(os.path.join(sourcedir, basename))\n else:\n for root, dirs, files in os.walk(sourcedir):\n if '.nomedia' not in files:\n for basename in sorted_listdir(files):\n result.append(os.path.join(root, basename))\n return result\n\n\ndef list_of_medias(args, sourcedir, recursive):\n \"\"\"\n Return the list of full paths for pictures and movies in source directory\n \"\"\"\n files = list_of_files(sourcedir, recursive)\n return [_ for _ in files if is_media_within_dates(_, args.dates)]\n\n\n<mask token>\n\n\ndef dispatch_post_items(list_of_post_items):\n subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]\n medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]\n return subdirs, medias\n\n\ndef create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):\n if os.path.isfile(media_fullname):\n if is_image_file(media_fullname):\n return create_item_image(args, media_fullname, sourcedir,\n thumbdir, key, thumbmax)\n else:\n return create_item_video(args, media_fullname, sourcedir,\n thumbdir, key, thumbmax)\n else:\n return create_item_subdir(args, media_fullname, sourcedir, thumbdir,\n key, thumbmax)\n\n\ndef create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax\n ):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n try:\n info, infofmt = get_image_info(media_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)\n return PostImage(None, media_fullname, '/'.join((args.thumbrep,\n thumb_basename)), thumbsize, infofmt)\n except PIL.UnidentifiedImageError:\n warning('Unable to read image', media_fullname)\n return None\n\n\ndef create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax\n ):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'\n try:\n info, infofmt = get_video_info(media_fullname, info_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_video(args, media_fullname, thumb_fullname,\n thumbsize, duration=info[5])\n return PostVideo(None, media_fullname, '/'.join((args.thumbrep,\n thumb_basename)), thumbsize, infofmt)\n except CalledProcessError:\n warning('Unable to read video', media_fullname)\n return None\n\n\n<mask token>\n\n\ndef relative_name(media_fullname, sourcedir):\n \"\"\"\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg\n -->\n deeper2_deepest_OCT_20000112_000004.jpg\n\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest\n -->\n deeper2_deepest\n \"\"\"\n x = os.path.relpath(media_fullname, sourcedir)\n x = x.replace('\\\\', '_').replace('/', '_').replace('#', '_')\n return x\n\n\ndef make_posts(args, dirname):\n if args.diary is True:\n if not args.sourcedir:\n return make_posts_from_diary(args)\n else:\n return make_posts_from_diary_and_dir(args)\n elif args.bydate is False:\n return make_posts_from_subdir(args, dirname)\n else:\n return make_posts_from_subdir_and_date(args, dirname)\n\n\ndef make_posts_from_diary(args):\n md_filename = os.path.join(args.root, 'index.md')\n if os.path.exists(md_filename):\n title, posts = parse_markdown(md_filename)\n else:\n error('File not found', md_filename)\n for post in posts:\n for media in post.medias:\n media_fullname = os.path.join(args.root, media.uri)\n item = create_item(args, media_fullname, args.root, args.\n thumbdir, 'post', 400)\n media.thumb = item.thumb\n media.thumbsize = item.thumbsize\n media.descr = item.descr\n return title, posts\n\n\ndef create_items_by_date(args, medias, posts):\n if args.dates == 'diary':\n required_dates = {post.date for post in posts}\n else:\n required_dates = {date_from_item(media) for media in medias}\n if type(args.dates) == tuple:\n date1, date2 = args.dates\n required_dates = {date for date in required_dates if date1 <=\n date <= date2}\n bydate = defaultdict(list)\n for media_fullname in medias:\n date = date_from_item(media_fullname)\n if date in required_dates:\n item = create_item(args, media_fullname, args.sourcedir, args.\n thumbdir, 'dcim', 300)\n if item:\n bydate[date].append(item)\n for date, liste in bydate.items():\n liste.sort(key=lambda item: time_from_item(item.uri))\n return bydate\n\n\n<mask token>\n\n\ndef make_posts_from_subdir(args, dirname):\n if args.bydir is False:\n medias_ext = list_of_medias(args, dirname, args.recursive)\n else:\n medias_ext = list_of_medias_ext(args, dirname)\n postmedias = list()\n for item in medias_ext:\n postmedia = create_item(args, item, args.sourcedir, args.thumbdir,\n 'dcim', 300)\n if postmedia is not None:\n postmedias.append(postmedia)\n post = Post(date='00000000', text='', medias=[])\n post.dcim = postmedias\n posts = [post]\n title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.\n sourcedir)[0]\n return title, posts\n\n\ndef make_posts_from_subdir_and_date(args, dirname):\n if args.bydir is False:\n medias = list_of_medias(args, dirname, args.recursive)\n subdirs = []\n else:\n medias_ext = list_of_medias_ext(args, dirname)\n medias = [_ for _ in medias_ext if is_media(_)]\n subdirs = [_ for _ in medias_ext if not is_media(_)]\n posts = list()\n items = list()\n for media_fullname in subdirs:\n item = create_item(args, media_fullname, args.sourcedir, args.\n thumbdir, 'dcim', 300)\n if item:\n items.append(item)\n if items:\n post = Post(date='00000000', text='', medias=[])\n post.dcim = items\n posts.append(post)\n bydate = create_items_by_date(args, medias, posts)\n for date in sorted(bydate):\n post = Post.from_date(date)\n post.dcim = bydate[post.date]\n posts.append(post)\n title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.\n sourcedir)[0]\n return title, posts\n\n\ndef create_gallery(args):\n title, posts = make_posts(args, args.sourcedir)\n print_html(args, posts, title, os.path.join(args.dest, args.rootname),\n 'regular')\n purge_htmlfiles(args, posts)\n if args.diary and not args.sourcedir:\n purge_thumbnails(args, args.thumbdir, posts, diary=True)\n else:\n purge_thumbnails(args, args.thumbdir, posts)\n\n\ndef create_diary(args):\n medias = list_of_medias(args, args.sourcedir, args.recursive)\n if args.dates == 'diary':\n assert 0\n else:\n required_dates = {date_from_item(media) for media in medias}\n if type(args.dates) == tuple:\n date1, date2 = args.dates\n required_dates = {date for date in required_dates if date1 <=\n date <= date2}\n title = args.sourcedir\n posts = list()\n for date in sorted(required_dates):\n posts.append(Post.from_date(date))\n os.makedirs(args.root, exist_ok=True)\n print_markdown(posts, title, os.path.join(args.root, 'index.md'))\n\n\ndef online_images_url(args):\n try:\n if args.urlblogger.startswith('http:') or args.urlblogger.startswith(\n 'https:'):\n with urlopen(args.urlblogger) as u:\n buffer = u.read()\n else:\n with open(args.urlblogger, 'rb') as f:\n buffer = f.read()\n except:\n error('Unable to read url', args.urlblogger)\n buffer = buffer.decode('utf-8')\n online_images = dict()\n for match in re.finditer('<div class=\"separator\"((?!<div).)*?</div>',\n buffer, flags=re.DOTALL):\n div_separator = match.group(0)\n div_separator = div_separator.replace(' ', '')\n elem_div = objectify.fromstring(div_separator)\n for elem_a in elem_div.iterchildren(tag='a'):\n href = elem_a.get('href')\n thumb = elem_a.img.get('src')\n online_images[os.path.basename(href)] = href, thumb\n online_videos = list()\n for match in re.finditer(\n '<iframe allowfullscreen=\"allowfullscreen\".*?</iframe>', buffer,\n flags=re.DOTALL):\n iframe = match.group(0)\n online_videos.append(iframe)\n return online_images, online_videos\n\n\ndef compare_image_buffers(imgbuf1, imgbuf2):\n \"\"\"\n return True if images read on file are identical, False otherwise\n \"\"\"\n with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:\n img1 = Image.open(imgio1)\n img2 = Image.open(imgio2)\n diff = ImageChops.difference(img1, img2)\n return not diff.getbbox()\n\n\ndef check_images(args, posts, online_images):\n result = True\n for post in posts:\n for media in post.medias:\n if type(media) is PostImage:\n if media.basename in online_images:\n with open(os.path.join(args.root, media.uri), 'rb') as f:\n imgbuf1 = f.read()\n try:\n with urlopen(online_images[media.basename][0]) as u:\n imgbuf2 = u.read()\n except FileNotFoundError:\n print('File not found', online_images[media.\n basename][0])\n next\n if compare_image_buffers(imgbuf1, imgbuf2) is False:\n print('Files are different, upload', media.basename)\n elif 1:\n print('File already online', media.basename)\n else:\n print('File is absent, upload', media.basename)\n result = False\n elif type(media) is PostVideo:\n print('Video not checked', media.basename)\n else:\n assert False\n return result\n\n\ndef compose_blogger_html(args, title, posts, imgdata, online_videos):\n \"\"\" Compose html with blogger image urls\n \"\"\"\n for post in posts:\n for media in post.medias:\n if type(media) is PostImage:\n if media.uri not in imgdata:\n print('Image missing: ', media.uri)\n else:\n img_url, resized_url = imgdata[media.uri]\n media.uri = img_url\n media.resized_url = resized_url\n elif type(media) is PostVideo:\n if not online_videos:\n print('Video missing: ', media.uri)\n else:\n media.iframe = online_videos[0]\n del online_videos[0]\n else:\n assert False\n return print_html(args, posts, title, '', target='blogger')\n\n\ndef prepare_for_blogger(args):\n \"\"\"\n Export blogger html to clipboard.\n If --full, export complete html, otherwise export html extract ready to\n paste into blogger edit mode.\n \"\"\"\n title, posts = parse_markdown(os.path.join(args.root, 'index.md'))\n online_images, online_videos = online_images_url(args)\n if args.check_images and check_images(args, posts, online_images) is False:\n pass\n html = compose_blogger_html(args, title, posts, online_images,\n online_videos)\n if args.full is False:\n html = re.search('<body>(.*)?</body>', html, flags=re.DOTALL).group(1)\n html = re.sub('<script>.*?</script>', '', html, flags=re.DOTALL)\n html = STYLE.replace('%%', '%') + html\n if args.dest:\n with open(args.dest, 'wt', encoding='utf-8') as f:\n f.write(html)\n else:\n clipboard.copy(html)\n\n\ndef idempotence(args):\n \"\"\"\n For testing identity between a diary file and the fle obtained after reading\n and printing it. See testing.\n \"\"\"\n title, posts = parse_markdown(os.path.join(args.root, 'index.md'))\n print_markdown(posts, title, os.path.join(args.dest, 'index.md'))\n\n\n<mask token>\n\n\nclass MyConfigParser(ConfigParser):\n \"\"\"Add input checking.\"\"\"\n\n def __init__(self):\n ConfigParser.__init__(self, inline_comment_prefixes=(';',))\n\n def error(self, section, entry):\n error('Missing or incorrect config value:', '[%s]%s' % (section, entry)\n )\n\n def getint(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getint(self, section, entry)\n else:\n return ConfigParser.getint(self, section, entry, raw=True,\n vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n def getboolean(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getboolean(self, section, entry)\n else:\n return ConfigParser.getboolean(self, section, entry, raw=\n True, vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n\ndef configfilename(params):\n return os.path.join(params.root, '.config.ini')\n\n\ndef createconfig(config_filename):\n with open(config_filename, 'wt') as f:\n f.writelines(CONFIG_DEFAULTS)\n\n\ndef read_config(params):\n config_filename = configfilename(params)\n try:\n if not os.path.exists(config_filename) or params.resetcfg:\n createconfig(config_filename)\n except:\n error('Error creating configuration file')\n try:\n getconfig(params, config_filename)\n except Exception as e:\n error('Error reading configuration file.', str(e), 'Use --resetcfg')\n\n\ndef getconfig(options, config_filename):\n\n\n class Section:\n pass\n options.source = Section()\n options.thumbnails = Section()\n options.photobox = Section()\n config = MyConfigParser()\n config.read(config_filename)\n options.source.sourcedir = config.get('source', 'sourcedir')\n options.source.bydir = config.getboolean('source', 'bydir')\n options.source.bydate = config.getboolean('source', 'bydate')\n options.source.diary = config.getboolean('source', 'diary')\n options.source.recursive = config.getboolean('source', 'recursive')\n options.source.dates = config.get('source', 'dates')\n options.source.github_pages = config.getboolean('source',\n 'github_pages', default=False)\n options.thumbnails.media_description = config.getboolean('thumbnails',\n 'media_description')\n options.thumbnails.subdir_caption = config.getboolean('thumbnails',\n 'subdir_caption')\n options.thumbnails.thumbdelay = config.getint('thumbnails', 'thumbdelay')\n options.thumbnails.threshold_thumbs = config.getint('thumbnails',\n 'threshold_thumbs')\n options.thumbnails.threshold_htmlfiles = config.getint('thumbnails',\n 'threshold_htmlfiles', default=3)\n options.photobox.loop = config.getboolean('photobox', 'loop')\n options.photobox.thumbs = config.getboolean('photobox', 'thumbs')\n options.photobox.autoplay = config.getboolean('photobox', 'autoplay')\n options.photobox.time = config.getint('photobox', 'time')\n options.photobox.zoomable = config.getboolean('photobox', 'zoomable')\n options.photobox.rotatable = config.getboolean('photobox', 'rotatable')\n options.photobox.wheelNextPrev = config.getboolean('photobox',\n 'wheelNextPrev')\n\n\ndef setconfig(cfgname, section, key, value):\n config = MyConfigParser()\n config.read(cfgname)\n config.set(section, key, value)\n with open(cfgname, 'wt') as configfile:\n config.write(configfile)\n\n\ndef setconfig_cmd(args):\n config_filename = configfilename(args)\n setconfig(config_filename, *args.setcfg)\n\n\ndef update_config(args):\n updates = ('sourcedir', args.sourcedir), ('bydir', BOOL[args.bydir]), (\n 'bydate', BOOL[args.bydate]), ('diary', BOOL[args.diary]), ('recursive'\n , BOOL[args.recursive]), ('dates', args.dates), ('github_pages',\n BOOL[args.github_pages])\n cfgname = configfilename(args)\n with open(cfgname) as f:\n cfglines = [_.strip() for _ in f.readlines()]\n for key, value in updates:\n for iline, line in enumerate(cfglines):\n if line.startswith(key):\n cfglines[iline] = f'{key} = {value}'\n break\n with open(cfgname, 'wt') as f:\n for line in cfglines:\n print(line, file=f)\n\n\ndef warning(*msg):\n print(colorama.Fore.YELLOW + colorama.Style.BRIGHT + ' '.join(msg),\n colorama.Style.RESET_ALL)\n\n\n<mask token>\n\n\ndef errorcode(msg):\n return ERRORS.splitlines().index(msg) + 1\n\n\ndef error(*msg):\n print(colorama.Fore.RED + colorama.Style.BRIGHT + ' '.join(msg),\n colorama.Style.RESET_ALL)\n sys.exit(errorcode(msg[0]))\n\n\n<mask token>\n\n\ndef parse_command_line(argstring):\n parser = argparse.ArgumentParser(description=None, usage=USAGE)\n agroup = parser.add_argument_group('Commands')\n xgroup = agroup.add_mutually_exclusive_group()\n xgroup.add_argument('--gallery', help='source in --sourcedir', action=\n 'store', metavar='<root-dir>')\n agroup.add_argument('--update', help=\n 'updates gallery with parameters in config file', action='store',\n metavar='<root-dir>')\n xgroup.add_argument('--create', help=\n 'create journal from medias in --sourcedir', action='store',\n metavar='<root-dir>')\n xgroup.add_argument('--resetcfg', help='reset config file to defaults',\n action='store', metavar='<root-dir>')\n xgroup.add_argument('--setcfg', help=argparse.SUPPRESS, action='store',\n nargs=4, metavar='<root-dir>')\n xgroup.add_argument('--idem', help=argparse.SUPPRESS, action='store',\n metavar='<root-dir>')\n xgroup.add_argument('--blogger', help=\n 'input md, html blogger ready in clipboard', action='store',\n metavar='<root-dir>')\n agroup = parser.add_argument_group('Parameters')\n agroup.add_argument('--bydir', help='organize gallery by subdirectory',\n action='store', default=None, choices=BOOL)\n agroup.add_argument('--bydate', help='organize gallery by date', action\n ='store', default=None, choices=BOOL)\n agroup.add_argument('--diary', help=\n 'organize gallery using markdown file diary', action='store',\n default=None, choices=BOOL)\n agroup.add_argument('--recursive', help='--sourcedir scans recursively',\n action='store', default=None, choices=BOOL)\n agroup.add_argument('--dates', help='dates interval', action='store',\n default=None)\n agroup.add_argument('--sourcedir', help='media directory', action=\n 'store', default=None)\n agroup.add_argument('--github_pages', help='github Pages compatibility',\n action='store', default=None, choices=BOOL)\n agroup.add_argument('--dest', help='output directory', action='store')\n agroup.add_argument('--forcethumb', help=\n 'force calculation of thumbnails', action='store_true', default=False)\n agroup.add_argument('--full', help=\n 'full html (versus blogger ready html)', action='store_true',\n default=False)\n agroup.add_argument('--check', dest='check_images', help=\n 'check availability of medias on blogger', action='store_true')\n agroup.add_argument('--url', dest='urlblogger', help='blogger post url',\n action='store')\n if argstring is None:\n print('Type \"galerie -h\" for help')\n sys.exit(1)\n else:\n args = parser.parse_args(argstring.split())\n if args.update and (args.bydir or args.bydate or args.diary or args.\n sourcedir or args.recursive or args.dates or args.github_pages):\n error('Incorrect parameters:',\n '--update cannot be used with creation parameters, use explicit command'\n )\n args.bydir = args.bydir == 'true'\n args.bydate = args.bydate == 'true'\n args.diary = args.diary == 'true'\n args.recursive = args.recursive == 'true'\n args.dates = 'source' if args.dates is None else args.dates\n args.github_pages = args.github_pages == 'true'\n args.root = (args.create or args.gallery or args.update or args.blogger or\n args.idem or args.resetcfg)\n if args.setcfg:\n args.root = args.setcfg[0]\n args.setcfg = args.setcfg[1:]\n return args\n\n\ndef setup_part1(args):\n \"\"\"\n Made before reading config file (config file located in args.root).\n Check and normalize root path.\n \"\"\"\n args.rootarg = args.root\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext == '':\n pass\n else:\n args.root = os.path.dirname(args.root)\n if args.root:\n args.root = os.path.abspath(args.root)\n if not os.path.isdir(args.root):\n if args.gallery:\n os.mkdir(args.root)\n else:\n error('Directory not found', args.root)\n\n\ndef setup_part2(args):\n \"\"\"\n Made after reading config file.\n Check for ffmpeg in path.\n Create .thumbnails dir if necessary and create .nomedia in it.\n Copy photobox file to destination dir.\n Handle priority between command line and config file.\n \"\"\"\n if args.update:\n args.sourcedir = args.source.sourcedir\n args.bydir = args.source.bydir\n args.bydate = args.source.bydate\n args.diary = args.source.diary\n args.recursive = args.source.recursive\n args.dates = args.source.dates\n args.github_pages = args.source.github_pages\n elif args.gallery:\n args.source.sourcedir = args.sourcedir\n args.source.bydir = args.bydir\n args.source.bydate = args.bydate\n args.source.diary = args.diary\n args.source.recursive = args.recursive\n args.source.dates = args.dates\n args.source.github_pages = args.github_pages\n update_config(args)\n if args.github_pages:\n args.html_suffix = '.html'\n else:\n args.html_suffix = '.htm'\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext:\n args.rootname = os.path.basename(args.rootarg)\n else:\n args.rootname = 'index' + args.html_suffix\n if args.sourcedir:\n args.sourcedir = os.path.abspath(args.sourcedir)\n if os.path.splitdrive(args.sourcedir)[0]:\n drive, rest = os.path.splitdrive(args.sourcedir)\n args.sourcedir = drive.upper() + rest\n if not os.path.isdir(args.sourcedir):\n error('Directory not found', args.sourcedir)\n elif args.gallery and args.diary is False and args.update is None:\n error('Directory not found', 'Use --sourcedir')\n if args.dest:\n args.dest = os.path.abspath(args.dest)\n if args.dest is None:\n args.dest = args.root\n if args.blogger and args.urlblogger is None:\n error('No blogger url (--url)')\n if args.gallery or args.update:\n for exe in ('ffmpeg', 'ffprobe'):\n try:\n check_output([exe, '-version'])\n except FileNotFoundError:\n error('File not found', exe)\n if args.github_pages:\n args.thumbrep = 'thumbnails'\n else:\n args.thumbrep = '.thumbnails'\n args.thumbdir = os.path.join(args.dest, args.thumbrep)\n if not os.path.exists(args.thumbdir):\n os.mkdir(args.thumbdir)\n open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()\n favicondst = os.path.join(args.dest, 'favicon.ico')\n if not os.path.isfile(favicondst):\n faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')\n shutil.copyfile(faviconsrc, favicondst)\n photoboxdir = os.path.join(args.dest, 'photobox')\n if not os.path.exists(photoboxdir):\n photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')\n shutil.copytree(photoboxsrc, photoboxdir)\n if args.dates:\n if not (args.gallery or args.create):\n pass\n if args.dates == 'source':\n pass\n elif args.dates == 'diary':\n if args.create:\n error('Incorrect date format', args.dates)\n elif re.match('\\\\d+-\\\\d+', args.dates):\n date1, date2 = args.dates.split('-')\n if validate_date(date1) and validate_date(date2):\n args.dates = date1, date2\n else:\n error('Incorrect date format', args.dates)\n else:\n error('Incorrect date format', args.dates)\n\n\ndef main(argstring=None):\n colorama.init()\n args = parse_command_line(argstring)\n setup_part1(args)\n read_config(args)\n setup_part2(args)\n try:\n if args.gallery or args.update:\n create_gallery(args)\n elif args.create:\n create_diary(args)\n elif args.blogger:\n prepare_for_blogger(args)\n elif args.idem:\n idempotence(args)\n elif args.setcfg:\n setconfig_cmd(args)\n except KeyboardInterrupt:\n warning('Interrupted by user.')\n\n\n<mask token>\n",
"step-5": "\"\"\"\nMake html galleries from media directories. Organize by dates, by subdirs or by\nthe content of a diary file. The diary file is a markdown file organized by\ndates, each day described by a text and some medias (photos and movies).\n\nThe diary file can be exported to:\n* an html file with the text and subset of medias associated with each day,\n* the previous html file extended with all medias in the media directory,\n* an html file ready to import into Blogger.\n\"\"\"\n\n\nimport sys\nimport os\nimport argparse\nimport glob\nimport shutil\nimport re\nimport io\nimport bisect\nimport locale\nimport textwrap\nimport base64\nimport datetime\nimport urllib\n\nfrom configparser import ConfigParser\nfrom collections import defaultdict\nfrom subprocess import check_output, CalledProcessError, STDOUT\nfrom urllib.request import urlopen\n\nimport colorama\nimport clipboard\nimport PIL\nfrom PIL import Image, ImageChops\nfrom lxml import objectify\nimport markdown\n\n\nUSAGE = \"\"\"\ngalerie --gallery <root-dir> [--sourcedir <media-dir>]\n [--bydir true|false*]\n [--bydate true|false*]\n [--diary true|false*]\n [--recursive true|false*]\n [--dates source*|diary|<yyyymmdd-yyyymmdd>]\n [--github_pages true|false]\n [--dest <directory>]\n [--forcethumb]\ngalerie --update <root-dir>\ngalerie --create <root-dir> --sourcedir <media-dir>\n [--recursive true|false*]\n [--dates source*|<yyyymmdd-yyyymmdd>]\ngalerie --blogger <root-dir> --url <url>\n [--check]\n [--full]\n [--dest <filename>]\n\nNotes:\n - * gives default\n - all options can be abbreviated if there is no conflict with other options (--gallery --> --gal)\n\n\"\"\"\n\n\n# -- Post objects -------------------------------------------------------------\n\n\nCAPTION_IMAGE_STYLE = '''\\\n<style type=\"text/css\">\n span { display:inline-table; }\n </style>\\\n'''\n\nSTYLE = '''\\\n<style type=\"text/css\">\n p { margin-top:0px; margin-bottom:0px; }\n h3 { font-size: 100%%; font-weight: bold; margin-top:0px; margin-bottom:0px; }\n </style>\n'''\n\nSTART = f'''\\\n<html>\n\n<head>\n <meta http-equiv=\"Content-Type\" content=\"text/html; charset=UTF-8\" />\n <title>%s</title>\n <link rel=\"icon\" href=\"favicon.ico\" />\n <meta name=\"viewport\" content=\"width=device-width\">\n <link rel=\"stylesheet\" href=\"photobox/photobox.css\">\n <script src=\"photobox/jquery.min.js\"></script>\n <script src=\"photobox/jquery.photobox.js\"></script>\n{CAPTION_IMAGE_STYLE}\n{STYLE}\n</head>\n\n<body>\\\n'''\n\nBUTTONS = '''\\\n<button id=\"btn_full\" type=\"button\" style=\"position: fixed; width: 50px; top: 20px; right: 20px; background-color:white\">Full</button>\n<button id=\"btn_blog\" type=\"button\" style=\"position: fixed; width: 50px; top: 40px; right: 20px; background-color:white\">Diary</button>\n<button id=\"btn_text\" type=\"button\" style=\"position: fixed; width: 50px; top: 60px; right: 20px; background-color:white\">Text</button>\n\n<script>\n$('#btn_full').click(function() {\n $(\"[id^=gallery-blog]\").show();\n $(\"[id^=gallery-dcim]\").show();\n $(\"div.extra\").show();\n});\n$('#btn_text').click(function() {\n $(\"[id^=gallery-blog]\").hide();\n $(\"[id^=gallery-dcim]\").hide();\n $(\"div.extra\").hide();\n});\n$('#btn_blog').click(function() {\n $(\"[id^=gallery-blog]\").show();\n $(\"[id^=gallery-dcim]\").hide();\n $(\"div.extra\").hide();\n});\n</script>\n'''\n\nSUBDIR_BACKCOL = '#eee'\nEND = '</body>\\n</html>'\nSEP = '<hr color=\"#C0C0C0\" size=\"1\" />'\nIMGPOST = '<a href=\"%s\"><img src=\"%s\" width=\"%d\" height=\"%d\" title=\"%s\"/></a>'\nVIDPOST = '<a href=\"%s\" rel=\"video\"><img src=\"%s\" width=\"%d\" height=\"%d\" title=\"%s\"/></a>'\nIMGPOSTCAPTION = '''\\\n<span>\n<a href=\"%s\"><img src=%s width=\"%d\" height=\"%d\" title=\"%s\"/></a>\n<p>%s</p>\n</span>\n'''\nVIDPOSTCAPTION = '''\\\n<span>\n<a href=\"%s\" rel=\"video\"><img src=%s width=\"%d\" height=\"%d\" title=\"%s\"/></a>\n<p>%s</p>\n</span>\n'''\nIMGDCIM = '<a href=\"%s\"><img src=\"%s\" width=\"%d\" height=\"%d\" title=\"%s\"/></a>'\nVIDDCIM = '<a href=\"%s\" rel=\"video\"><img src=\"%s\" width=\"%d\" height=\"%d\" title=\"%s\"/></a>'\n\n# diminution de l'espace entre images, on utilise :\n# \"display: block;\", \"margin-bottom: 0em;\" et \"font-size: 0;\"\n# \"display: block;\" dans img : espacement correct ordi mais pas centré téléphone\n# \"display: block;\" dans a : ok\n\nDIRPOST = '<a href=\"%s\"><img src=\"%s\" width=\"%d\" height=\"%d\" style=\"border: 1px solid #C0C0C0;\" /></a>'\nDIRPOSTCAPTION = f'''\n<span style=\"background-color:{SUBDIR_BACKCOL}; margin-bottom: 8px; border: 1px solid #C0C0C0;\">\n<a href=\"%s\"><img src=\"%s\" width=\"%d\" height=\"%d\" style=\"border: 1px solid #C0C0C0;\" /></a>\n<p style=\"margin-left:2px;\">%s</p>\n</span>\n'''\nBIMGPAT = '''\\\n<div class=\"separator\" style=\"clear: both; text-align: center;\">\n<a href=\"%s\" style=\"clear: left; margin-bottom: 0em; margin-right: 1em; font-size: 0; display: block;\">\n<img border=\"0\" src=\"%s\" width=\"640\" />\n</a></div>\n'''\nCAPTION_PAT = '''\\\n<div class=\"separator\" style=\"clear: both; text-align: center;\">\n%s\n</div>\n'''\n\n\nclass Post:\n def __init__(self, date, text, medias):\n # date: yyyymmdd\n self.date = date\n self.text = text\n self.medias = medias\n self.dcim = []\n self.daterank = 0\n self.extra = False\n\n def __lt__(self, other):\n return self.date < other.date\n\n @classmethod\n def from_markdown(cls, post):\n m = re.match(r'\\[(\\d\\d\\d\\d/\\d\\d/\\d\\d)\\]\\n*', post[0])\n if m:\n date = m.group(1).replace('/', '')\n if not validate_date(date):\n error('Incorrect date value:', date)\n del post[0]\n else:\n error('No date in post', ' '.join(post))\n\n while post and not post[0].strip():\n del post[0]\n\n text = ''\n while post and not re.match(r'!?\\[\\]', post[0]):\n text += post[0]\n del post[0]\n\n # remove empty lines at end\n text = re.sub(r'\\n\\n$', '\\n', text)\n\n medias = list()\n while post and (match := re.match(r'!?\\[\\]\\((.*)\\)', post[0])):\n media = match.group(1)\n caption = None\n del post[0]\n if post and not re.match(r'!?\\[\\]', post[0]):\n caption = post[0].strip()\n del post[0]\n if match.group(0)[0] == '!':\n medias.append(PostImage(caption, media))\n else:\n medias.append(PostVideo(caption, media))\n\n return cls(date, text, medias)\n\n @classmethod\n def from_date(cls, date):\n dt = datetime.datetime.strptime(date, '%Y%m%d')\n datetext = dt.strftime(\"%A %d %B %Y\").capitalize()\n post = cls(date, text=datetext, medias=[])\n post.daterank = 1\n return post\n\n def to_html(self, args, target='regular'):\n if target == 'regular':\n if args.diary:\n return self.to_html_diary(args)\n else:\n return self.to_html_regular(args)\n if target == 'blogger':\n return self.to_html_blogger()\n\n def to_html_regular(self, args):\n html = list()\n if self.text:\n # possible with --bydate\n html.append(markdown.markdown(self.text))\n subdirs, dcim = dispatch_post_items(self.dcim)\n if self.dcim:\n html.append(SEP)\n for media in subdirs:\n html.append(media.to_html_dcim(args))\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n\n html.append(SEP)\n return html\n\n def to_html_diary(self, args):\n html = list()\n if self.extra:\n html.append('<div class=\"extra\">')\n\n if self.text:\n html.append(markdown.markdown(self.text))\n\n if self.medias:\n html.append(f'<div id=\"gallery-blog-{self.date}-{self.daterank}\">')\n for media in self.medias:\n html.append(media.to_html_post(args))\n html.append('</div>')\n\n _, dcim = dispatch_post_items(self.dcim)\n if dcim:\n html.append(f'<div id=\"gallery-dcim-{self.date}-{self.daterank}\">')\n html.append(SEP)\n for media in dcim:\n html.append(media.to_html_dcim(args))\n html.append('</div>')\n\n html.append(SEP)\n if self.extra:\n html.append('</div>')\n return html\n\n def to_html_blogger(self):\n html = list()\n html.append(markdown.markdown(self.text))\n for image in self.medias:\n html.append(image.to_html_blogger())\n html.append(SEP)\n return html\n\n\nclass PostItem:\n def __init__(self, caption, uri, thumb=None, thumbsize=None, descr=''):\n self.caption = caption\n self.uri = uri\n self.basename = os.path.basename(uri)\n self.thumb = thumb\n self.thumbsize = thumbsize\n self.descr = descr\n self.resized_url = None\n\n\nclass PostImage(PostItem):\n def to_markdown(self):\n if not self.caption:\n return '' % (self.uri,)\n else:\n return '\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return IMGPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return IMGPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize, descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return IMGDCIM % (relative_url(self.uri, args.root), self.thumb, *self.thumbsize, descr)\n\n def to_html_blogger(self):\n if not self.caption:\n return BIMGPAT % (self.uri, self.resized_url)\n else:\n return f'{BIMGPAT}\\n{CAPTION_PAT}' % (self.uri, self.resized_url, self.caption)\n\n\nclass PostVideo(PostItem):\n def to_markdown(self):\n if not self.caption:\n return '[](%s)' % (self.uri,)\n else:\n return '[](%s)\\n%s' % (self.uri, self.caption)\n\n def to_html_post(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n if not self.caption:\n return VIDPOST % (self.uri, self.thumb, *self.thumbsize, descr)\n else:\n return VIDPOSTCAPTION % (self.uri, self.thumb, *self.thumbsize, descr, self.caption)\n\n def to_html_dcim(self, args):\n descr = self.descr if args.thumbnails.media_description else ''\n return VIDDCIM % (relative_url(self.uri, args.root), self.thumb, *self.thumbsize, descr)\n\n def to_html_blogger(self):\n x = f'<p style=\"text-align: center;\">{self.iframe}</p>'\n if not self.caption:\n return x\n else:\n return f'%s\\n{CAPTION_PAT}' % (x, self.caption)\n\n\nclass PostSubdir(PostItem):\n def to_html_dcim(self, args):\n basename = os.path.basename(self.htmname)\n posts = self.posts\n title = self.caption\n print_html(args, posts, title, self.htmname)\n\n if not self.caption:\n return DIRPOST % (basename, self.thumb, *self.thumbsize)\n else:\n return DIRPOSTCAPTION % (basename, self.thumb, *self.thumbsize, self.caption)\n\n\ndef relative_url(path, root):\n \"\"\"\n returns a normalized url to path relative from root\n \"\"\"\n try:\n url = os.path.relpath(path, root)\n except:\n error('Unable to make a relative url:', url, root)\n\n url = url.replace('\\\\', '/') if os.sep == '\\\\' else url\n\n return urllib.parse.quote(url)\n\n\n# -- Markdown parser ----------------------------------------------------------\n\n\ndef parse_markdown(filename):\n \"\"\"\n Generate Post objects from markdown. Date must be present in each post and\n posts must be ordrered by date.\n \"\"\"\n if not os.path.exists(filename):\n error('File not found', filename)\n\n posts = list()\n with open(filename, encoding='utf-8') as f:\n line = next(f)\n if line.startswith('# '):\n title = line[2:].strip()\n record = []\n next(f)\n else:\n title = None\n record = [line]\n for line in f:\n if not line.startswith('___'):\n record.append(line)\n else:\n posts.append(Post.from_markdown(record))\n record = []\n\n # set rank of posts in date\n daterank = defaultdict(int)\n for post in posts:\n daterank[post.date] += 1\n post.daterank = daterank[post.date]\n\n # check post order\n for post1, post2 in zip(posts[:-1], posts[1:]):\n if post1.date > post2.date:\n error('Posts are not ordered', f'{post1.date} > {post2.date}')\n\n return title, posts\n\n\n# -- Markdown printer ---------------------------------------------------------\n\n\ndef print_markdown(posts, title, fullname):\n with open(fullname, 'wt', encoding='utf-8') as fdst:\n print(f'# {title}\\n', file=fdst)\n for post in posts:\n date = f'[{post.date[0:4]}/{post.date[4:6]}/{post.date[6:8]}]'\n print(date, file=fdst)\n if post.text:\n print(file=fdst)\n for line in post.text.splitlines():\n if not line:\n print(file=fdst)\n else:\n for chunk in textwrap.wrap(line, width=78):\n print(chunk, file=fdst)\n if post.medias:\n print(file=fdst)\n for media in post.medias:\n print(media.to_markdown(), file=fdst)\n print('______', file=fdst)\n\n\n# -- html printer -------------------------------------------------------------\n\n\ndef compose_html_reduced(args, posts, title, target):\n html = list()\n html.append(START % title)\n\n for post in posts:\n for line in post.to_html(args, target):\n html.append(line.strip())\n html.append('')\n\n html.append(END)\n return html\n\n\ndef compose_html_full(args, posts, title, target):\n html = list()\n html.append(START % title)\n\n if args.diary:\n html.append(BUTTONS)\n\n for post in posts:\n for line in post.to_html(args, target):\n html.append(line.strip())\n html.append('')\n\n html.append('<script>')\n for post in posts:\n if post.medias:\n gallery_id = f'gallery-blog-{post.date}-{post.daterank}'\n html.append(gallery_call(args, gallery_id))\n if post.dcim:\n gallery_id = f'gallery-dcim-{post.date}-{post.daterank}'\n html.append(gallery_call(args, gallery_id))\n html.append('</script>')\n\n html.append(END)\n return html\n\n\ndef print_html_to_stream(args, posts, title, stream, target):\n if target == 'regular':\n for line in compose_html_full(args, posts, title, target):\n print(line, file=stream)\n else:\n for line in compose_html_reduced(args, posts, title, target):\n print(line, file=stream)\n\n\ndef print_html(args, posts, title, html_name, target='regular'):\n assert target in ('regular', 'blogger')\n with io.StringIO() as f:\n print_html_to_stream(args, posts, title, f, target)\n html = f.getvalue()\n\n if html_name:\n if os.path.exists(html_name):\n # test if the generated html is identical to the one already on disk\n with open(html_name, 'rt', encoding='utf-8') as f:\n html0 = f.read()\n if html == html0:\n return None\n with open(html_name, 'wt', encoding='utf-8') as f:\n f.write(html)\n return None\n else:\n return html\n\n\nGALLERYCALL = \"\"\"\n$('#%s').photobox('a', {\nloop:%s,\nthumbs:%s,\nautoplay:%s,\ntime:%d,\nzoomable:%s ,\nrotatable:%s,\nwheelNextPrev:%s\n});\n\"\"\"\n\n\ndef gallery_call(args, gallery_id):\n return GALLERYCALL.replace('\\n', '') % (\n gallery_id,\n str(args.photobox.loop).lower(),\n str(args.photobox.thumbs).lower(),\n str(args.photobox.autoplay).lower(),\n args.photobox.time,\n str(args.photobox.zoomable).lower(),\n str(args.photobox.rotatable).lower(),\n str(args.photobox.wheelNextPrev).lower(),\n )\n\n\n# -- Media description --------------------------------------------------------\n\n\ndef is_image_file(name):\n return os.path.splitext(name)[1].lower() in (\n '.jpg', '.jpeg', '.png', '.gif', '.bmp', '.webp', '.tif'\n )\n\n\ndef is_video_file(name):\n return os.path.splitext(name)[1].lower() in (\n '.mp4', '.webm', '.mkv', '.flv', '.m4v', '.avi', '.wmv', '.mts', '.vob', '.divx'\n )\n\n\ndef is_media(name):\n return is_image_file(name) or is_video_file(name)\n\n\ndef validate_date(datestr):\n # datestr = yyyymmdd\n try:\n datetime.datetime.strptime(datestr, '%Y%m%d')\n return True\n except ValueError:\n return False\n\n\ndef date_from_name(name):\n # heuristics\n if match := re.search(r'(?:\\D|^)(\\d{8})(?:\\D|$)', name, re.ASCII):\n digits = match.group(1)\n if validate_date(digits):\n return digits\n return None\n\n\ndef date_from_item(filename):\n if date := date_from_name(filename):\n return date\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%Y%m%d')\n\n\ndef time_from_name(name):\n # heuristics\n if match := re.search(r'(?:\\D|^)(\\d{8})\\D(\\d{6})(?:\\D|$)', name, re.ASCII):\n digits = match.group(2)\n hour, minute, second = int(digits[0:2]), int(digits[2:4]), int(digits[4:6])\n if 0 <= hour < 24 and 0 <= minute < 60 and 0 <= second < 60:\n return digits\n return None\n\n\ndef time_from_item(filename):\n if time := time_from_name(filename):\n return time\n else:\n timestamp = os.path.getmtime(filename)\n return datetime.datetime.fromtimestamp(timestamp).strftime('%H%M%S')\n\n\nFFPROBE_CMD = '''\\\n ffprobe -v error\n -select_streams v:0\n -show_entries stream=width,height,avg_frame_rate,r_frame_rate:format=duration\n -of csv=p=0\n'''\n\n\ndef get_image_info(filename):\n date = date_from_item(filename)\n time = time_from_item(filename)\n img = Image.open(filename)\n width, height = img.size\n size = round(os.path.getsize(filename) / 1e6, 1)\n return (date, time, width, height, size), f'{date} {time}, dim={width}x{height}, {size} MB'\n\n\ndef get_video_info(filename, info_fullname):\n if os.path.exists(info_fullname):\n with open(info_fullname) as f:\n info = f.readline().split()\n date, time, width, height, size, duration, fps = info[0], info[1], int(info[2]), int(info[3]), float(info[4]), int(info[5]), float(info[6])\n formatted_info = format_video_info(date, time, width, height, size, duration, fps)\n return (date, time, width, height, size, duration, fps), formatted_info\n else:\n info, formatted_info = make_video_info(filename, info_fullname)\n with open(info_fullname, 'wt') as f:\n print(' '.join([str(_) for _ in info]), file=f)\n return info, formatted_info\n\n\ndef make_video_info(filename, info_fullname):\n # ffmpeg must be in path\n date = date_from_item(filename)\n time = time_from_item(filename)\n command = [*FFPROBE_CMD.split(), filename]\n try:\n output = check_output(command, stderr=STDOUT).decode()\n width, height, fps, duration = parse_ffprobe_output(output)\n size = round(os.path.getsize(filename) / 1e6, 1)\n output = format_video_info(date, time, width, height, size, duration, fps)\n except CalledProcessError as e:\n output = e.output.decode()\n warning(output)\n raise\n return (date, time, width, height, size, duration, fps), output\n\n\ndef parse_ffprobe_output(ffprobe_output):\n # parse first channel data and last line for duration\n match = re.match(r'(\\d+),(\\d+),(\\d+)/(\\d+),(\\d+/\\d+).*\\s(\\d+\\.\\d+)', ffprobe_output, re.DOTALL)\n width = int(match.group(1))\n height = int(match.group(2))\n fps = round(int(match.group(3)) / int(match.group(4)), 1)\n duration = round(float(match.group(6)))\n return width, height, fps, duration\n\n\ndef format_video_info(date, time, width, height, size, duration, fps):\n return f'{date} {time}, dim={width}x{height}, {format_duration(duration)}, fps={fps}, {size} MB'\n\n\ndef format_duration(duration):\n mn = duration // 60\n sec = duration % 60\n if mn <= 59:\n return f'm:s={mn:02}:{sec:02}'\n else:\n hour = mn // 60\n mn = mn % 60\n return f'h:m:s={hour:02}:{mn:02}:{sec:02}'\n\n\n# -- Thumbnails (image and video) ---------------------------------------------\n\n\ndef thumbname(name, key):\n return key + '-' + name + '.jpg'\n\n\ndef size_thumbnail(width, height, maxdim):\n if width >= height:\n return maxdim, int(round(maxdim * height / width))\n else:\n return int(round(maxdim * width / height)), maxdim\n\n\ndef make_thumbnail_image(args, image_name, thumb_name, size):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_image(image_name, thumb_name, size)\n\n\ndef create_thumbnail_image(image_name, thumb_name, size):\n imgobj = Image.open(image_name)\n\n if (imgobj.mode != 'RGBA'\n and image_name.endswith('.jpg')\n and not (image_name.endswith('.gif') and imgobj.info.get('transparency'))\n ):\n imgobj = imgobj.convert('RGBA')\n\n imgobj.thumbnail(size, Image.LANCZOS)\n imgobj = imgobj.convert('RGB')\n imgobj.save(thumb_name)\n\n\ndef make_thumbnail_video(args, video_name, thumb_name, size, duration):\n if os.path.exists(thumb_name) and args.forcethumb is False:\n pass\n else:\n print('Making thumbnail:', thumb_name)\n create_thumbnail_video(args, video_name, thumb_name, size, duration)\n\n\n# base64 video.png\nVIDEO_ICON = '''\\\niVBORw0KGgoAAAANSUhEUgAAABgAAAAUCAAAAACy3qJfAAAA4UlEQVR4\n2m1QoRbCMAy88SaK69xscfuEWiS4SZBIcCCRfAL8An8AcnJzTOJSWdxwzJXSPUoHRPQlueYuucigxm\n9kDGaMf8AjopGcYn8LmmyLoihBWBiThb+5MTuUsc3aL56upneZ9sByAIg8Z8BEn96EeZ65iU7DvmbP\nPxqDcH6p1swXBC4l6yZskACkTN1WrQr2SlIFhTtgqeZa+zsOogLXegvEocZ5c/W5BcoVNNCg3hSudV\n/hEh4ofw6cEb00Km8i0dpRDUXfKiaQOEAdrUDo4dFp9C33jjaRac9/gDF/AlplVYtfWGCjAAAAAElF\nTkSuQmCC'''\n\n\ndef create_thumbnail_video(args, filename, thumbname, size, duration):\n # ffmpeg must be in path\n delay = min(duration - 1, args.thumbnails.thumbdelay)\n sizearg = '%dx%d' % size\n command = 'ffmpeg -y -v error -itsoffset -%d -i \"%s\" -vcodec mjpeg -vframes 1 -an -f rawvideo -s %s \"%s\"'\n command = command % (delay, filename, sizearg, thumbname)\n result = os.system(command)\n\n # add a movie icon to the thumbnail to identify videos\n try:\n img1 = Image.open(thumbname)\n except:\n # ffmpeg was unable to save thumbnail\n warning('Unable to save thumbnail for', filename)\n return\n img2 = Image.open(io.BytesIO(base64.b64decode(VIDEO_ICON)))\n width, height = img1.size\n img1.paste(img2, (6, height - 20 - 6), None)\n img1.save(thumbname)\n\n\ndef make_thumbnail_subdir(args, subdir_name, thumb_name, size, items, thumbdir):\n # subdir thumbnails are always created as they depend on the content of the\n # directory\n print('Making thumbnail:', thumb_name)\n create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir)\n\n\ndef create_thumbnail_subdir(subdir_name, thumb_name, size, items, thumbdir):\n\n def size_thumbnail(width, height, xmax, ymax):\n width2 = xmax\n height2 = int(round(xmax * height / width))\n if height2 < ymax:\n width2 = int(round(ymax * width / height))\n height2 = ymax\n return width2, height2\n\n thumblist = [os.path.basename(item.thumb) for item in items]\n widthnum, heightnum, width, height, offsetx, offsety = mosaic_geometry(size, thumblist)\n thumbnum = widthnum * heightnum\n img = Image.new('RGB', size, SUBDIR_BACKCOL)\n\n for ind, thumb in enumerate(thumblist[:min(thumbnum, len(thumblist))]):\n row = ind // widthnum\n col = ind % widthnum\n img2 = Image.open(os.path.join(thumbdir, thumb))\n w, h = size_thumbnail(*img2.size, width[col], height[row])\n cropdim = ((w - width[col]) // 2, (h - height[row]) // 2,\n (w - width[col]) // 2 + width[col], (h - height[row]) // 2 + height[row])\n img2 = img2.resize((w, h), Image.LANCZOS)\n img2 = img2.crop(cropdim)\n img.paste(img2, (offsetx[col], offsety[row]))\n\n if os.path.exists(thumb_name):\n # test if the generated thumbnail is identical to the one already on disk\n imgref = Image.open(thumb_name)\n\n # must save and reload before comparing\n byteio = io.BytesIO()\n img.save(byteio, \"JPEG\")\n byteio.seek(0)\n imgnew = Image.open(byteio)\n\n diff = ImageChops.difference(imgnew, imgref)\n if diff.getbbox() is None:\n return\n\n img.save(thumb_name)\n\n\ndef mosaic_geometry(size, thumblist):\n if len(thumblist) == 1:\n widthnum = 1\n heightnum = 1\n elif len(thumblist) <= 3:\n widthnum = 1\n heightnum = 2\n elif len(thumblist) <= 8:\n widthnum = 2\n heightnum = 2\n else:\n widthnum = 3\n heightnum = 3\n\n if widthnum == 1:\n width = [size[0] - 2]\n else:\n width = [size[0] // widthnum - 2] * (widthnum - 1)\n width.append(size[0] - (1 + sum(width) + 2 * len(width) + 1))\n\n if heightnum == 1:\n height = [size[1] - 2]\n else:\n height = [size[1] // heightnum - 2] * (heightnum - 1)\n height.append(size[1] - (1 + sum(height) + 2 * len(height) + 1))\n\n offsetx = [1]\n for w in width[:-1]:\n offsetx.append(offsetx[-1] + w + 2)\n\n offsety = [1]\n for h in height[:-1]:\n offsety.append(offsety[-1] + h + 2)\n\n return widthnum, heightnum, width, height, offsetx, offsety\n\n\ndef list_of_htmlfiles(args, posts):\n htmlist = list()\n htmlist.append(os.path.join(args.dest, args.rootname))\n for post in posts:\n htmlist.extend(list_of_htmlfiles_in_items(post.dcim))\n return htmlist\n\n\ndef list_of_htmlfiles_in_items(itemlist):\n htmlist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n htmlist.append(item.htmname)\n htmlist.extend(list_of_htmlfiles_in_items(item.sublist))\n return htmlist\n\n\ndef list_of_thumbnails(posts, diary=False):\n thumblist = list()\n for post in posts:\n thumblist.extend(list_of_thumbnails_in_items(post.medias))\n if diary is False:\n thumblist.extend(list_of_thumbnails_in_items(post.dcim))\n return thumblist\n\n\ndef list_of_thumbnails_in_items(itemlist):\n thumblist = list()\n for item in itemlist:\n if type(item) == PostSubdir:\n thumblist.append(os.path.basename(item.thumb))\n thumblist.extend(list_of_thumbnails_in_items(item.sublist))\n else:\n thumblist.append(os.path.basename(item.thumb))\n return thumblist\n\n\ndef purge_htmlfiles(args, posts):\n \"\"\"\n Purge root dir from irrelevant html files\n \"\"\"\n htmlist = list_of_htmlfiles(args, posts)\n html_to_remove = list()\n for fullname in glob.glob(os.path.join(args.root, '*.htm*')):\n if fullname not in htmlist:\n html_to_remove.append(fullname)\n\n if len(html_to_remove) > args.thumbnails.threshold_htmlfiles:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(f'{len(html_to_remove)} html files to remove. Continue [y|n]? ').lower()\n if inpt == 'n':\n return\n\n for name in html_to_remove:\n print('Removing html files', name)\n os.remove(name)\n\n\ndef purge_thumbnails(args, thumbdir, posts, diary=False):\n \"\"\"\n Purge thumbnail dir from irrelevant thumbnails\n \"\"\"\n thumblist = list_of_thumbnails(posts, diary)\n thumbs_to_remove = list()\n for fullname in glob.glob(os.path.join(thumbdir, '*.jpg')):\n if os.path.basename(fullname) not in thumblist:\n thumbs_to_remove.append(fullname)\n\n if len(thumbs_to_remove) > args.thumbnails.threshold_thumbs:\n inpt = 'x'\n while inpt not in 'yn':\n inpt = input(f'{len(thumbs_to_remove)} thumbnails to remove. Continue [y|n]? ').lower()\n if inpt == 'n':\n return\n\n for name in thumbs_to_remove:\n print('Removing thumbnail', name)\n os.remove(name)\n info_fullname = os.path.splitext(name)[0] + '.info'\n if os.path.exists(info_fullname):\n os.remove(info_fullname)\n\n\n# -- List of medias helpers ---------------------------------------------------\n\n\ndef is_media_within_dates(fullname, dates):\n if is_media(fullname):\n if type(dates) == tuple:\n return dates[0] <= date_from_item(fullname) <= dates[1]\n else:\n return True\n else:\n return False\n\n\ndef sorted_listdir(filelist):\n like_windows_explorer = True\n\n if not filelist:\n return filelist\n\n if like_windows_explorer:\n maxlen = max(len(os.path.splitext(name)[0]) for name in filelist)\n def keyfunc(name):\n root, ext = os.path.splitext(name.lower())\n return root.ljust(maxlen, ' ') + ext\n else:\n keyfunc = str.lower\n\n return sorted(filelist, key=keyfunc)\n\n\ndef list_of_files(sourcedir, recursive):\n \"\"\"\n Return the list of full paths for files in source directory\n \"\"\"\n result = list()\n if recursive is False:\n listdir = sorted_listdir(os.listdir(sourcedir))\n if '.nomedia' not in listdir:\n for basename in listdir:\n result.append(os.path.join(sourcedir, basename))\n else:\n for root, dirs, files in os.walk(sourcedir):\n if '.nomedia' not in files:\n for basename in sorted_listdir(files):\n result.append(os.path.join(root, basename))\n return result\n\n\ndef list_of_medias(args, sourcedir, recursive):\n \"\"\"\n Return the list of full paths for pictures and movies in source directory\n \"\"\"\n files = list_of_files(sourcedir, recursive)\n return [_ for _ in files if is_media_within_dates(_, args.dates)]\n\n\ndef list_of_medias_ext(args, sourcedir):\n \"\"\"\n Return the list of full paths for pictures and movies in source directory\n plus subdirectories containing media\n \"\"\"\n result = list()\n listdir = sorted_listdir(os.listdir(sourcedir))\n if '.nomedia' not in listdir:\n for basename in listdir:\n fullname = os.path.join(sourcedir, basename)\n if os.path.isdir(fullname) and basename != '$RECYCLE.BIN' and contains_media(args, fullname):\n result.append(fullname)\n else:\n if is_media_within_dates(fullname, args.dates):\n result.append(fullname)\n return result\n\n\ndef contains_media(args, dirname):\n for root, dirs, files in os.walk(dirname):\n if '.nomedia' not in files:\n for basename in files:\n if is_media_within_dates(os.path.join(root, basename), args.dates):\n return True\n else:\n return False\n\n\ndef dispatch_post_items(list_of_post_items):\n subdirs = [_ for _ in list_of_post_items if type(_) is PostSubdir]\n medias = [_ for _ in list_of_post_items if type(_) is not PostSubdir]\n return subdirs, medias\n\n\n# -- Creation of gallery element ----------------------------------------------\n\n\ndef create_item(args, media_fullname, sourcedir, thumbdir, key, thumbmax):\n if os.path.isfile(media_fullname):\n if is_image_file(media_fullname):\n return create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax)\n else:\n return create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax)\n else:\n return create_item_subdir(args, media_fullname, sourcedir, thumbdir, key, thumbmax)\n\n\ndef create_item_image(args, media_fullname, sourcedir, thumbdir, key, thumbmax):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n\n try:\n info, infofmt = get_image_info(media_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_image(args, media_fullname, thumb_fullname, thumbsize)\n return PostImage(None, media_fullname, '/'.join((args.thumbrep, thumb_basename)),\n thumbsize, infofmt)\n except PIL.UnidentifiedImageError:\n # corrupted image\n warning('Unable to read image', media_fullname)\n return None\n\n\ndef create_item_video(args, media_fullname, sourcedir, thumbdir, key, thumbmax):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n info_fullname = os.path.splitext(thumb_fullname)[0] + '.info'\n\n try:\n info, infofmt = get_video_info(media_fullname, info_fullname)\n infofmt = media_basename + ': ' + infofmt\n thumbsize = size_thumbnail(info[2], info[3], thumbmax)\n make_thumbnail_video(args, media_fullname, thumb_fullname, thumbsize, duration=info[5])\n return PostVideo(None, media_fullname, '/'.join((args.thumbrep, thumb_basename)),\n thumbsize, infofmt)\n except CalledProcessError:\n # corrupted video\n warning('Unable to read video', media_fullname)\n return None\n\n\ndef create_item_subdir(args, media_fullname, sourcedir, thumbdir, key, thumbmax):\n media_basename = os.path.basename(media_fullname)\n media_relname = relative_name(media_fullname, sourcedir)\n thumb_basename = thumbname(media_relname, key)\n thumb_fullname = os.path.join(thumbdir, thumb_basename)\n\n info, infofmt = None, None\n thumbsize = (thumbmax, int(round(thumbmax / 640 * 480)))\n\n medias_ext = list_of_medias_ext(args, media_fullname)\n if not medias_ext:\n return None\n\n item = PostSubdir(None, media_fullname, '/'.join((args.thumbrep, thumb_basename)),\n thumbsize, infofmt)\n item.htmname = os.path.join(os.path.dirname(thumbdir), media_relname + args.html_suffix)\n if args.thumbnails.subdir_caption:\n item.caption = media_basename\n else:\n item.caption = ''\n\n _, posts = make_posts(args, media_fullname)\n item.posts = posts\n items = [item for post in posts for item in post.dcim]\n item.sublist = items\n\n make_thumbnail_subdir(args, media_fullname, thumb_fullname, thumbsize, items, thumbdir)\n return item\n\n\ndef relative_name(media_fullname, sourcedir):\n \"\"\"\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest/OCT_20000112_000004.jpg\n -->\n deeper2_deepest_OCT_20000112_000004.jpg\n\n /Gilles/Dev/journal/tests/subdir/deeper2/deepest\n -->\n deeper2_deepest\n \"\"\"\n x = os.path.relpath(media_fullname, sourcedir)\n x = x.replace('\\\\', '_').replace('/', '_').replace('#', '_')\n return x\n\n\n# -- Creation of posts --------------------------------------------------------\n\n\ndef make_posts(args, dirname):\n if args.diary is True:\n if not args.sourcedir:\n return make_posts_from_diary(args)\n else:\n return make_posts_from_diary_and_dir(args)\n elif args.bydate is False:\n return make_posts_from_subdir(args, dirname)\n else:\n return make_posts_from_subdir_and_date(args, dirname)\n\n\ndef make_posts_from_diary(args):\n md_filename = os.path.join(args.root, 'index.md')\n if os.path.exists(md_filename):\n title, posts = parse_markdown(md_filename)\n else:\n error('File not found', md_filename)\n\n for post in posts:\n for media in post.medias:\n media_fullname = os.path.join(args.root, media.uri)\n item = create_item(args, media_fullname, args.root, args.thumbdir, 'post', 400)\n media.thumb = item.thumb\n media.thumbsize = item.thumbsize\n media.descr = item.descr\n\n return title, posts\n\n\ndef create_items_by_date(args, medias, posts):\n # list of required dates\n if args.dates == 'diary':\n required_dates = {post.date for post in posts}\n else:\n required_dates = {date_from_item(media) for media in medias}\n if type(args.dates) == tuple:\n date1, date2 = args.dates\n required_dates = {date for date in required_dates if date1 <= date <= date2}\n\n bydate = defaultdict(list)\n for media_fullname in medias:\n date = date_from_item(media_fullname)\n if date in required_dates:\n item = create_item(args, media_fullname, args.sourcedir, args.thumbdir, 'dcim', 300)\n if item:\n bydate[date].append(item)\n\n for date, liste in bydate.items():\n liste.sort(key=lambda item: time_from_item(item.uri))\n\n return bydate\n\n\ndef make_posts_from_diary_and_dir(args):\n title, posts = make_posts_from_diary(args)\n\n # list of all pictures and movies\n medias = list_of_medias(args, args.sourcedir, args.recursive)\n\n bydate = create_items_by_date(args, medias, posts)\n\n # make list of extra dates (not in posts)\n extradates = set(bydate) - {post.date for post in posts}\n\n # complete posts with extra dates\n for date in extradates:\n post = Post.from_date(date)\n post.extra = True\n bisect.insort(posts, post)\n\n # several posts can have the same date, only the first one is completed with dcim medias\n for post in posts:\n if post.date in bydate and post.daterank == 1:\n post.dcim = bydate[post.date]\n\n return title, posts\n\n\ndef make_posts_from_subdir(args, dirname):\n # list of pictures and movies plus subdirectories\n if args.bydir is False:\n medias_ext = list_of_medias(args, dirname, args.recursive)\n else:\n medias_ext = list_of_medias_ext(args, dirname)\n\n #required_dates = get_required_dates(args, medias_ext, posts=None)\n #medias_ext_bis = []\n #for media in medias_ext:\n # if complies_with_required_dates(media):\n # medias_ext_bis.append(media)\n\n # complete posts\n postmedias = list()\n for item in medias_ext:\n postmedia = create_item(args, item, args.sourcedir, args.thumbdir, 'dcim', 300)\n if postmedia is not None:\n postmedias.append(postmedia)\n\n post = Post(date='00000000', text='', medias=[])\n post.dcim = postmedias\n posts = [post]\n title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.sourcedir)[0]\n\n return title, posts\n\n\ndef make_posts_from_subdir_and_date(args, dirname):\n # list of all pictures and movies\n if args.bydir is False:\n medias = list_of_medias(args, dirname, args.recursive)\n subdirs = []\n else:\n medias_ext = list_of_medias_ext(args, dirname)\n medias = [_ for _ in medias_ext if is_media(_)]\n subdirs = [_ for _ in medias_ext if not is_media(_)]\n\n # create list of posts with a single post containing all subdirs\n posts = list()\n items = list()\n for media_fullname in subdirs:\n item = create_item(args, media_fullname, args.sourcedir, args.thumbdir, 'dcim', 300)\n if item:\n items.append(item)\n if items:\n post = Post(date='00000000', text='', medias=[])\n post.dcim = items\n posts.append(post)\n\n bydate = create_items_by_date(args, medias, posts)\n\n # add dates\n for date in sorted(bydate):\n post = Post.from_date(date)\n post.dcim = bydate[post.date]\n posts.append(post)\n title = os.path.basename(args.sourcedir) or os.path.splitdrive(args.sourcedir)[0]\n\n return title, posts\n\n\n# -- Creation of html page from directory tree --------------------------------\n\n\ndef create_gallery(args):\n title, posts = make_posts(args, args.sourcedir)\n print_html(args, posts, title, os.path.join(args.dest, args.rootname), 'regular')\n purge_htmlfiles(args, posts)\n if args.diary and not args.sourcedir:\n purge_thumbnails(args, args.thumbdir, posts, diary=True)\n else:\n purge_thumbnails(args, args.thumbdir, posts)\n\n\n# -- Creation of diary from medias --------------------------------------------\n\n\ndef create_diary(args):\n # list of all pictures and movies\n medias = list_of_medias(args, args.sourcedir, args.recursive)\n\n # list of required dates\n if args.dates == 'diary':\n assert 0\n else:\n required_dates = {date_from_item(media) for media in medias}\n if type(args.dates) == tuple:\n date1, date2 = args.dates\n required_dates = {date for date in required_dates if date1 <= date <= date2}\n\n title = args.sourcedir\n posts = list()\n for date in sorted(required_dates):\n posts.append(Post.from_date(date))\n\n os.makedirs(args.root, exist_ok=True)\n print_markdown(posts, title, os.path.join(args.root, 'index.md'))\n\n\n# -- Export to blogger---------------------------------------------------------\n\n\ndef online_images_url(args):\n try:\n if args.urlblogger.startswith('http:') or args.urlblogger.startswith('https:'):\n with urlopen(args.urlblogger) as u:\n buffer = u.read()\n else:\n with open(args.urlblogger, 'rb') as f:\n buffer = f.read()\n except:\n error('Unable to read url', args.urlblogger)\n buffer = buffer.decode('utf-8')\n\n online_images = dict()\n for match in re.finditer('<div class=\"separator\"((?!<div).)*?</div>', buffer, flags=re.DOTALL):\n div_separator = match.group(0)\n div_separator = div_separator.replace(' ', '')\n elem_div = objectify.fromstring(div_separator)\n for elem_a in elem_div.iterchildren(tag='a'):\n href = elem_a.get(\"href\")\n thumb = elem_a.img.get(\"src\")\n online_images[os.path.basename(href)] = (href, thumb)\n\n # video insertion relies only on video order\n online_videos = list()\n for match in re.finditer('<iframe allowfullscreen=\"allowfullscreen\".*?</iframe>', buffer, flags=re.DOTALL):\n iframe = match.group(0)\n online_videos.append(iframe)\n\n return online_images, online_videos\n\n\ndef compare_image_buffers(imgbuf1, imgbuf2):\n \"\"\"\n return True if images read on file are identical, False otherwise\n \"\"\"\n with io.BytesIO(imgbuf1) as imgio1, io.BytesIO(imgbuf2) as imgio2:\n img1 = Image.open(imgio1)\n img2 = Image.open(imgio2)\n diff = ImageChops.difference(img1, img2)\n return not diff.getbbox()\n\n\ndef check_images(args, posts, online_images):\n result = True\n for post in posts:\n for media in post.medias:\n if type(media) is PostImage:\n if media.basename in online_images:\n with open(os.path.join(args.root, media.uri), 'rb') as f:\n imgbuf1 = f.read()\n try:\n with urlopen(online_images[media.basename][0]) as u:\n imgbuf2 = u.read()\n except FileNotFoundError:\n print('File not found', online_images[media.basename][0])\n next\n if compare_image_buffers(imgbuf1, imgbuf2) is False:\n print('Files are different, upload', media.basename)\n else:\n if 1:\n print('File already online', media.basename)\n else:\n print('File is absent, upload', media.basename)\n result = False\n elif type(media) is PostVideo:\n # no check for the moment\n print('Video not checked', media.basename)\n else:\n assert False\n return result\n\n\ndef compose_blogger_html(args, title, posts, imgdata, online_videos):\n \"\"\" Compose html with blogger image urls\n \"\"\"\n for post in posts:\n for media in post.medias:\n if type(media) is PostImage:\n if media.uri not in imgdata:\n print('Image missing: ', media.uri)\n else:\n img_url, resized_url = imgdata[media.uri]\n media.uri = img_url\n media.resized_url = resized_url\n elif type(media) is PostVideo:\n if not online_videos:\n print('Video missing: ', media.uri)\n else:\n media.iframe = online_videos[0]\n del online_videos[0]\n else:\n assert False\n\n return print_html(args, posts, title, '', target='blogger')\n\n\ndef prepare_for_blogger(args):\n \"\"\"\n Export blogger html to clipboard.\n If --full, export complete html, otherwise export html extract ready to\n paste into blogger edit mode.\n \"\"\"\n title, posts = parse_markdown(os.path.join(args.root, 'index.md'))\n online_images, online_videos = online_images_url(args)\n\n if args.check_images and check_images(args, posts, online_images) is False:\n pass\n\n html = compose_blogger_html(args, title, posts, online_images, online_videos)\n\n if args.full is False:\n html = re.search('<body>(.*)?</body>', html, flags=re.DOTALL).group(1)\n html = re.sub('<script>.*?</script>', '', html, flags=re.DOTALL)\n html = STYLE.replace('%%', '%') + html\n\n if args.dest:\n with open(args.dest, 'wt', encoding='utf-8') as f:\n f.write(html)\n else:\n clipboard.copy(html)\n\n\n# -- Other commands -----------------------------------------------------------\n\n\ndef idempotence(args):\n \"\"\"\n For testing identity between a diary file and the fle obtained after reading\n and printing it. See testing.\n \"\"\"\n title, posts = parse_markdown(os.path.join(args.root, 'index.md'))\n print_markdown(posts, title, os.path.join(args.dest, 'index.md'))\n\n\n# -- Configuration file ------------------------------------------------------\n\n\n# The following docstring is used to create the configuration file.\nCONFIG_DEFAULTS = \"\"\"\\\n[source]\n\n; source directory\n; value: valid path\nsourcedir = .\n\n; one web page per directory\n; value: true or false\nbydir = false\n\n; dispatch medias by dates\n; value: true or false\nbydate = false\n\n; include text and medias from diary file\n; value: true or false\ndiary = false\n\n; include subdirectories recursively (used when bydir is false)\n; value: true or false\nrecursive = false\n\n; interval of dates to include\n; value: source|diary|yyyymmdd-yyyymmdd or empty (= source)\ndates =\n\n; github Pages compatibility (.htlml extension and no dot in directory names)\n; value: true or false\ngithub_pages = false\n\n[thumbnails]\n\n; specifies whether or not the gallery displays media description (size, dimension, etc)\n; value: true or false\nmedia_description = true\n\n; specifies whether subdir captions are empty or the name of the subdir\n; value: true or false\nsubdir_caption = true\n\n; timestamp of thumbnail in video\n; value: number of seconds\nthumbdelay = 5\n\n; maximum number of thumbnails to remove without user confirmation\n; value: integer\nthreshold_thumbs = 10\n\n[photobox]\n\n; Allows to navigate between first and last images\n; value: true or false\nloop = false\n\n; Show gallery thumbnails below the presented photo\n; value: true or false\nthumbs = true\n\n; Should autoplay on first time or not\n; value: true or false\nautoplay = false\n\n; Autoplay interval (less than 1000 will hide the autoplay button)\n; value: milliseconds\ntime = 3000\n\n; Disable/enable mousewheel image zooming\n; value: true or false\nzoomable = true\n\n; Allow rotation of the image\n; value: true or false\nrotatable = true\n\n; Change image using mousewheel left/right\n; value: true or false\nwheelNextPrev = true\n\"\"\"\n\n\nclass MyConfigParser (ConfigParser):\n \"\"\"Add input checking.\"\"\"\n def __init__(self):\n ConfigParser.__init__(self, inline_comment_prefixes=(';',))\n\n def error(self, section, entry):\n error('Missing or incorrect config value:', '[%s]%s' % (section, entry))\n\n def getint(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getint(self, section, entry)\n else:\n return ConfigParser.getint(self, section, entry, raw=True, vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n def getboolean(self, section, entry, default=None):\n try:\n if default is None:\n return ConfigParser.getboolean(self, section, entry)\n else:\n return ConfigParser.getboolean(self, section, entry, raw=True, vars=None, fallback=default)\n except Exception as e:\n print(e)\n self.error(section, entry)\n\n\ndef configfilename(params):\n return os.path.join(params.root, '.config.ini')\n\n\ndef createconfig(config_filename):\n with open(config_filename, 'wt') as f:\n f.writelines(CONFIG_DEFAULTS)\n\n\ndef read_config(params):\n config_filename = configfilename(params)\n\n try:\n if not os.path.exists(config_filename) or params.resetcfg:\n createconfig(config_filename)\n except:\n error('Error creating configuration file')\n\n try:\n getconfig(params, config_filename)\n except Exception as e:\n error('Error reading configuration file.', str(e), 'Use --resetcfg')\n\n\ndef getconfig(options, config_filename):\n class Section:\n pass\n\n options.source = Section()\n options.thumbnails = Section()\n options.photobox = Section()\n\n config = MyConfigParser()\n config.read(config_filename)\n\n # [source]\n options.source.sourcedir = config.get('source', 'sourcedir')\n options.source.bydir = config.getboolean('source', 'bydir')\n options.source.bydate = config.getboolean('source', 'bydate')\n options.source.diary = config.getboolean('source', 'diary')\n options.source.recursive = config.getboolean('source', 'recursive')\n options.source.dates = config.get('source', 'dates')\n options.source.github_pages = config.getboolean('source', 'github_pages', default=False)\n\n # [thumbnails]\n options.thumbnails.media_description = config.getboolean('thumbnails', 'media_description')\n options.thumbnails.subdir_caption = config.getboolean('thumbnails', 'subdir_caption')\n options.thumbnails.thumbdelay = config.getint('thumbnails', 'thumbdelay')\n options.thumbnails.threshold_thumbs = config.getint('thumbnails', 'threshold_thumbs')\n options.thumbnails.threshold_htmlfiles = config.getint('thumbnails', 'threshold_htmlfiles', default=3)\n\n # [photobox]\n options.photobox.loop = config.getboolean('photobox', 'loop')\n options.photobox.thumbs = config.getboolean('photobox', 'thumbs')\n options.photobox.autoplay = config.getboolean('photobox', 'autoplay')\n options.photobox.time = config.getint('photobox', 'time')\n options.photobox.zoomable = config.getboolean('photobox', 'zoomable')\n options.photobox.rotatable = config.getboolean('photobox', 'rotatable')\n options.photobox.wheelNextPrev = config.getboolean('photobox', 'wheelNextPrev')\n\n\ndef setconfig(cfgname, section, key, value):\n config = MyConfigParser()\n config.read(cfgname)\n config.set(section, key, value)\n with open(cfgname, 'wt') as configfile:\n config.write(configfile)\n\n\ndef setconfig_cmd(args):\n config_filename = configfilename(args)\n setconfig(config_filename, *args.setcfg)\n\n\ndef update_config(args):\n # update only entries which can be modified from the command line (source section)\n updates = (\n ('sourcedir', args.sourcedir),\n ('bydir', BOOL[args.bydir]),\n ('bydate', BOOL[args.bydate]),\n ('diary', BOOL[args.diary]),\n ('recursive', BOOL[args.recursive]),\n ('dates', args.dates),\n ('github_pages', BOOL[args.github_pages]),\n )\n\n # manual update to keep comments\n cfgname = configfilename(args)\n with open(cfgname) as f:\n cfglines = [_.strip() for _ in f.readlines()]\n\n for key, value in updates:\n for iline, line in enumerate(cfglines):\n if line.startswith(key):\n cfglines[iline] = f'{key} = {value}'\n break\n\n with open(cfgname, 'wt') as f:\n for line in cfglines:\n print(line, file=f)\n\n\n# -- Error handling -----------------------------------------------------------\n\n\ndef warning(*msg):\n print(colorama.Fore.YELLOW + colorama.Style.BRIGHT +\n ' '.join(msg),\n colorama.Style.RESET_ALL)\n\n\n# Every error message error must be declared here to give a return code to the error\nERRORS = '''\\\nFile not found\nDirectory not found\nNo date in post\nIncorrect date value:\nPosts are not ordered\nUnable to read url\nNo image source (--sourcedir)\nNo blogger url (--url)\nMissing or incorrect config value:\nError creating configuration file\nError reading configuration file.\nIncorrect date format\nIncorrect parameters:\n'''\n\n\ndef errorcode(msg):\n return ERRORS.splitlines().index(msg) + 1\n\n\ndef error(*msg):\n print(colorama.Fore.RED + colorama.Style.BRIGHT +\n ' '.join(msg),\n colorama.Style.RESET_ALL)\n sys.exit(errorcode(msg[0]))\n\n\n# -- Main ---------------------------------------------------------------------\n\n\nBOOL = ('false', 'true')\n\n\ndef parse_command_line(argstring):\n parser = argparse.ArgumentParser(description=None, usage=USAGE)\n\n agroup = parser.add_argument_group('Commands')\n xgroup = agroup.add_mutually_exclusive_group()\n xgroup.add_argument('--gallery', help='source in --sourcedir',\n action='store', metavar='<root-dir>')\n agroup.add_argument('--update', help='updates gallery with parameters in config file',\n action='store', metavar='<root-dir>')\n xgroup.add_argument('--create', help='create journal from medias in --sourcedir',\n action='store', metavar='<root-dir>')\n # testing\n xgroup.add_argument('--resetcfg', help='reset config file to defaults',\n action='store', metavar='<root-dir>')\n xgroup.add_argument('--setcfg', help=argparse.SUPPRESS,\n action='store', nargs=4, metavar='<root-dir>')\n xgroup.add_argument('--idem', help=argparse.SUPPRESS,\n action='store', metavar='<root-dir>')\n # blogger\n xgroup.add_argument('--blogger',\n help='input md, html blogger ready in clipboard',\n action='store', metavar='<root-dir>')\n\n agroup = parser.add_argument_group('Parameters')\n agroup.add_argument('--bydir', help='organize gallery by subdirectory',\n action='store', default=None, choices=BOOL)\n agroup.add_argument('--bydate', help='organize gallery by date',\n action='store', default=None, choices=BOOL)\n agroup.add_argument('--diary', help='organize gallery using markdown file diary',\n action='store', default=None, choices=BOOL)\n agroup.add_argument('--recursive', help='--sourcedir scans recursively',\n action='store', default=None, choices=BOOL)\n agroup.add_argument('--dates', help='dates interval',\n action='store', default=None)\n agroup.add_argument('--sourcedir', help='media directory',\n action='store', default=None)\n agroup.add_argument('--github_pages', help='github Pages compatibility',\n action='store', default=None, choices=BOOL)\n agroup.add_argument('--dest', help='output directory',\n action='store')\n agroup.add_argument('--forcethumb', help='force calculation of thumbnails',\n action='store_true', default=False)\n\n agroup.add_argument('--full', help='full html (versus blogger ready html)',\n action='store_true', default=False)\n agroup.add_argument('--check', dest='check_images', help='check availability of medias on blogger',\n action='store_true')\n agroup.add_argument('--url', dest='urlblogger', help='blogger post url',\n action='store')\n\n if argstring is None:\n print('Type \"galerie -h\" for help')\n sys.exit(1)\n else:\n args = parser.parse_args(argstring.split())\n\n if args.update and (args.bydir or args.bydate or args.diary or args.sourcedir or\n args.recursive or args.dates or args.github_pages):\n error('Incorrect parameters:',\n '--update cannot be used with creation parameters, use explicit command')\n\n args.bydir = args.bydir == 'true'\n args.bydate = args.bydate == 'true'\n args.diary = args.diary == 'true'\n args.recursive = args.recursive == 'true'\n args.dates = 'source' if (args.dates is None) else args.dates\n args.github_pages = args.github_pages == 'true'\n\n args.root = (\n args.create or args.gallery or args.update\n or args.blogger or args.idem or args.resetcfg\n )\n\n if args.setcfg:\n args.root = args.setcfg[0]\n args.setcfg = args.setcfg[1:]\n\n return args\n\n\ndef setup_part1(args):\n \"\"\"\n Made before reading config file (config file located in args.root).\n Check and normalize root path.\n \"\"\"\n args.rootarg = args.root\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext == '':\n pass\n else:\n args.root = os.path.dirname(args.root)\n\n if args.root:\n args.root = os.path.abspath(args.root)\n if not os.path.isdir(args.root):\n if args.gallery:\n os.mkdir(args.root)\n else:\n error('Directory not found', args.root)\n\n\ndef setup_part2(args):\n \"\"\"\n Made after reading config file.\n Check for ffmpeg in path.\n Create .thumbnails dir if necessary and create .nomedia in it.\n Copy photobox file to destination dir.\n Handle priority between command line and config file.\n \"\"\"\n if args.update:\n args.sourcedir = args.source.sourcedir\n args.bydir = args.source.bydir\n args.bydate = args.source.bydate\n args.diary = args.source.diary\n args.recursive = args.source.recursive\n args.dates = args.source.dates\n args.github_pages = args.source.github_pages\n elif args.gallery:\n args.source.sourcedir = args.sourcedir\n args.source.bydir = args.bydir\n args.source.bydate = args.bydate\n args.source.diary = args.diary\n args.source.recursive = args.recursive\n args.source.dates = args.dates\n args.source.github_pages = args.github_pages\n update_config(args)\n\n if args.github_pages:\n args.html_suffix = '.html'\n else:\n args.html_suffix = '.htm'\n\n rootext = os.path.splitext(args.rootarg)[1]\n if rootext:\n args.rootname = os.path.basename(args.rootarg)\n else:\n args.rootname = 'index' + args.html_suffix\n\n if args.sourcedir:\n args.sourcedir = os.path.abspath(args.sourcedir)\n if os.path.splitdrive(args.sourcedir)[0]:\n drive, rest = os.path.splitdrive(args.sourcedir)\n args.sourcedir = drive.upper() + rest\n if not os.path.isdir(args.sourcedir):\n error('Directory not found', args.sourcedir)\n else:\n if args.gallery and args.diary is False and args.update is None:\n error('Directory not found', 'Use --sourcedir')\n\n if args.dest:\n args.dest = os.path.abspath(args.dest)\n\n if args.dest is None:\n args.dest = args.root\n\n if args.blogger and args.urlblogger is None:\n error('No blogger url (--url)')\n\n if args.gallery or args.update:\n # check for ffmpeg and ffprobe in path\n for exe in ('ffmpeg', 'ffprobe'):\n try:\n check_output([exe, '-version'])\n except FileNotFoundError:\n error('File not found', exe)\n\n if args.github_pages:\n args.thumbrep = 'thumbnails'\n else:\n args.thumbrep = '.thumbnails'\n\n args.thumbdir = os.path.join(args.dest, args.thumbrep)\n if not os.path.exists(args.thumbdir):\n os.mkdir(args.thumbdir)\n open(os.path.join(args.thumbdir, '.nomedia'), 'a').close()\n\n favicondst = os.path.join(args.dest, 'favicon.ico')\n if not os.path.isfile(favicondst):\n faviconsrc = os.path.join(os.path.dirname(__file__), 'favicon.ico')\n shutil.copyfile(faviconsrc, favicondst)\n\n photoboxdir = os.path.join(args.dest, 'photobox')\n if not os.path.exists(photoboxdir):\n photoboxsrc = os.path.join(os.path.dirname(__file__), 'photobox')\n shutil.copytree(photoboxsrc, photoboxdir)\n\n if args.dates:\n if not(args.gallery or args.create):\n # silently ignored for the moment, otherwise all other commands will\n # launch a wanrning or an error on the default --dates value\n pass\n\n if args.dates == 'source':\n pass\n elif args.dates == 'diary':\n if args.create:\n error('Incorrect date format', args.dates)\n elif re.match(r'\\d+-\\d+', args.dates):\n date1, date2 = args.dates.split('-')\n if validate_date(date1) and validate_date(date2):\n args.dates = date1, date2\n else:\n error('Incorrect date format', args.dates)\n else:\n error('Incorrect date format', args.dates)\n\n\ndef main(argstring=None):\n colorama.init()\n args = parse_command_line(argstring)\n setup_part1(args)\n read_config(args)\n setup_part2(args)\n try:\n if args.gallery or args.update:\n create_gallery(args)\n\n elif args.create:\n create_diary(args)\n\n elif args.blogger:\n prepare_for_blogger(args)\n\n elif args.idem:\n idempotence(args)\n\n elif args.setcfg:\n setconfig_cmd(args)\n\n except KeyboardInterrupt:\n warning('Interrupted by user.')\n\n\nif __name__ == '__main__':\n main(' '.join(sys.argv[1:]))\n",
"step-ids": [
79,
84,
88,
100,
110
]
}
|
[
79,
84,
88,
100,
110
] |
# Author: Sam Erickson
# Date: 2/23/2016
#
# Program Description: This program gives the integer coefficients x,y to the
# equation ax+by=gcd(a,b) given by the extended Euclidean Algorithm.
def extendedEuclid(a,b):
"""
Preconditions - a and b are both positive integers.
Posconditions - The equation for ax+by=gcd(a,b) has been returned where
x and y are solved.
Input - a : int, b : int
Output - ax+by=gcd(a,b) : string
"""
b,a=max(a,b),min(a,b)
# Format of euclidList is for back-substitution
euclidList=[[b%a,1,b,-1*(b//a),a]]
while b%a>0:
b,a=a,b%a
euclidList.append([b%a,1,b,-1*(b//a),a])
if len(euclidList)>1:
euclidList.pop()
euclidList=euclidList[::-1]
for i in range(1,len(euclidList)):
euclidList[i][1]*=euclidList[i-1][3]
euclidList[i][3]*=euclidList[i-1][3]
euclidList[i][3]+=euclidList[i-1][1]
expr=euclidList[len(euclidList)-1]
strExpr=str(expr[1])+"*"+str(expr[2])+" + "+str(expr[3])+"*"+str(expr[4]) \
+" = "+str(euclidList[0][0])
return strExpr
|
normal
|
{
"blob_id": "36e5b0f40b8016f39120f839766db0ac518c9bed",
"index": 4712,
"step-1": "<mask token>\n",
"step-2": "def extendedEuclid(a, b):\n \"\"\"\n Preconditions - a and b are both positive integers.\n Posconditions - The equation for ax+by=gcd(a,b) has been returned where\n x and y are solved.\n Input - a : int, b : int\n Output - ax+by=gcd(a,b) : string\n \"\"\"\n b, a = max(a, b), min(a, b)\n euclidList = [[b % a, 1, b, -1 * (b // a), a]]\n while b % a > 0:\n b, a = a, b % a\n euclidList.append([b % a, 1, b, -1 * (b // a), a])\n if len(euclidList) > 1:\n euclidList.pop()\n euclidList = euclidList[::-1]\n for i in range(1, len(euclidList)):\n euclidList[i][1] *= euclidList[i - 1][3]\n euclidList[i][3] *= euclidList[i - 1][3]\n euclidList[i][3] += euclidList[i - 1][1]\n expr = euclidList[len(euclidList) - 1]\n strExpr = str(expr[1]) + '*' + str(expr[2]) + ' + ' + str(expr[3]\n ) + '*' + str(expr[4]) + ' = ' + str(euclidList[0][0])\n return strExpr\n",
"step-3": "# Author: Sam Erickson\n# Date: 2/23/2016\n#\n# Program Description: This program gives the integer coefficients x,y to the\n# equation ax+by=gcd(a,b) given by the extended Euclidean Algorithm. \n\ndef extendedEuclid(a,b):\n \"\"\"\n Preconditions - a and b are both positive integers.\n Posconditions - The equation for ax+by=gcd(a,b) has been returned where\n x and y are solved.\n Input - a : int, b : int\n Output - ax+by=gcd(a,b) : string\n \"\"\"\n b,a=max(a,b),min(a,b)\n # Format of euclidList is for back-substitution\n euclidList=[[b%a,1,b,-1*(b//a),a]]\n while b%a>0:\n b,a=a,b%a \n euclidList.append([b%a,1,b,-1*(b//a),a])\n if len(euclidList)>1:\n euclidList.pop()\n euclidList=euclidList[::-1]\n for i in range(1,len(euclidList)):\n euclidList[i][1]*=euclidList[i-1][3]\n euclidList[i][3]*=euclidList[i-1][3]\n euclidList[i][3]+=euclidList[i-1][1]\n \n expr=euclidList[len(euclidList)-1]\n strExpr=str(expr[1])+\"*\"+str(expr[2])+\" + \"+str(expr[3])+\"*\"+str(expr[4]) \\\n +\" = \"+str(euclidList[0][0])\n return strExpr\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
}
|
[
0,
1,
2
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution(object):
<|reserved_special_token_0|>
<|reserved_special_token_1|>
class Solution(object):
def gcdOfStrings(self, str1, str2):
if str1 == str2:
return str1
elif not str1 or not str2:
return ''
elif str1.startswith(str2):
return self.gcdOfStrings(str1[len(str2):], str2)
elif str2.startswith(str1):
return self.gcdOfStrings(str1, str2[len(str1):])
else:
return ''
|
flexible
|
{
"blob_id": "ab632c3c8a7f295a890de19af82fde87c6d600bc",
"index": 1674,
"step-1": "<mask token>\n",
"step-2": "class Solution(object):\n <mask token>\n",
"step-3": "class Solution(object):\n\n def gcdOfStrings(self, str1, str2):\n if str1 == str2:\n return str1\n elif not str1 or not str2:\n return ''\n elif str1.startswith(str2):\n return self.gcdOfStrings(str1[len(str2):], str2)\n elif str2.startswith(str1):\n return self.gcdOfStrings(str1, str2[len(str1):])\n else:\n return ''\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
}
|
[
0,
1,
2
] |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from datetime import datetime
archivo = open("salida2.csv", "a+")
startTime = datetime.now()
def mergeSort(alist):
print("Splitting ",alist)
if len(alist)>1:
mid = len(alist)//2
lefthalf = alist[:mid]
righthalf = alist[mid:]
mergeSort(lefthalf)
mergeSort(righthalf)
a=0
b=0
k=0
while a < len(lefthalf) and b < len(righthalf):
if lefthalf[a] < righthalf[b]:
alist[k]=lefthalf[a]
a=a+1
else:
alist[k]=righthalf[b]
b=b+1
k=k+1
while a < len(lefthalf):
alist[k]=lefthalf[a]
a=a+1
k=k+1
while b < len(righthalf):
alist[k]=righthalf[b]
b=b+1
k=k+1
alist = []
N = int(input(""))
nums = input("").split()
for a in nums:
alist.append(int(a))
mergeSort(alist)
print(' '.join(str(a) for a in alist)+' \n')
tiempo = datetime.now() - startTime
archivo.write(str(N)+",")
archivo.write(str(tiempo)+"\n")
archivo.close()
|
normal
|
{
"blob_id": "9e98c6b59433369bca3d4f7ae261f7e7ab3aae6b",
"index": 4161,
"step-1": "<mask token>\n\n\ndef mergeSort(alist):\n print('Splitting ', alist)\n if len(alist) > 1:\n mid = len(alist) // 2\n lefthalf = alist[:mid]\n righthalf = alist[mid:]\n mergeSort(lefthalf)\n mergeSort(righthalf)\n a = 0\n b = 0\n k = 0\n while a < len(lefthalf) and b < len(righthalf):\n if lefthalf[a] < righthalf[b]:\n alist[k] = lefthalf[a]\n a = a + 1\n else:\n alist[k] = righthalf[b]\n b = b + 1\n k = k + 1\n while a < len(lefthalf):\n alist[k] = lefthalf[a]\n a = a + 1\n k = k + 1\n while b < len(righthalf):\n alist[k] = righthalf[b]\n b = b + 1\n k = k + 1\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef mergeSort(alist):\n print('Splitting ', alist)\n if len(alist) > 1:\n mid = len(alist) // 2\n lefthalf = alist[:mid]\n righthalf = alist[mid:]\n mergeSort(lefthalf)\n mergeSort(righthalf)\n a = 0\n b = 0\n k = 0\n while a < len(lefthalf) and b < len(righthalf):\n if lefthalf[a] < righthalf[b]:\n alist[k] = lefthalf[a]\n a = a + 1\n else:\n alist[k] = righthalf[b]\n b = b + 1\n k = k + 1\n while a < len(lefthalf):\n alist[k] = lefthalf[a]\n a = a + 1\n k = k + 1\n while b < len(righthalf):\n alist[k] = righthalf[b]\n b = b + 1\n k = k + 1\n\n\n<mask token>\nfor a in nums:\n alist.append(int(a))\nmergeSort(alist)\nprint(' '.join(str(a) for a in alist) + ' \\n')\n<mask token>\narchivo.write(str(N) + ',')\narchivo.write(str(tiempo) + '\\n')\narchivo.close()\n",
"step-3": "<mask token>\narchivo = open('salida2.csv', 'a+')\nstartTime = datetime.now()\n\n\ndef mergeSort(alist):\n print('Splitting ', alist)\n if len(alist) > 1:\n mid = len(alist) // 2\n lefthalf = alist[:mid]\n righthalf = alist[mid:]\n mergeSort(lefthalf)\n mergeSort(righthalf)\n a = 0\n b = 0\n k = 0\n while a < len(lefthalf) and b < len(righthalf):\n if lefthalf[a] < righthalf[b]:\n alist[k] = lefthalf[a]\n a = a + 1\n else:\n alist[k] = righthalf[b]\n b = b + 1\n k = k + 1\n while a < len(lefthalf):\n alist[k] = lefthalf[a]\n a = a + 1\n k = k + 1\n while b < len(righthalf):\n alist[k] = righthalf[b]\n b = b + 1\n k = k + 1\n\n\nalist = []\nN = int(input(''))\nnums = input('').split()\nfor a in nums:\n alist.append(int(a))\nmergeSort(alist)\nprint(' '.join(str(a) for a in alist) + ' \\n')\ntiempo = datetime.now() - startTime\narchivo.write(str(N) + ',')\narchivo.write(str(tiempo) + '\\n')\narchivo.close()\n",
"step-4": "from datetime import datetime\narchivo = open('salida2.csv', 'a+')\nstartTime = datetime.now()\n\n\ndef mergeSort(alist):\n print('Splitting ', alist)\n if len(alist) > 1:\n mid = len(alist) // 2\n lefthalf = alist[:mid]\n righthalf = alist[mid:]\n mergeSort(lefthalf)\n mergeSort(righthalf)\n a = 0\n b = 0\n k = 0\n while a < len(lefthalf) and b < len(righthalf):\n if lefthalf[a] < righthalf[b]:\n alist[k] = lefthalf[a]\n a = a + 1\n else:\n alist[k] = righthalf[b]\n b = b + 1\n k = k + 1\n while a < len(lefthalf):\n alist[k] = lefthalf[a]\n a = a + 1\n k = k + 1\n while b < len(righthalf):\n alist[k] = righthalf[b]\n b = b + 1\n k = k + 1\n\n\nalist = []\nN = int(input(''))\nnums = input('').split()\nfor a in nums:\n alist.append(int(a))\nmergeSort(alist)\nprint(' '.join(str(a) for a in alist) + ' \\n')\ntiempo = datetime.now() - startTime\narchivo.write(str(N) + ',')\narchivo.write(str(tiempo) + '\\n')\narchivo.close()\n",
"step-5": "#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\nfrom datetime import datetime\n\narchivo = open(\"salida2.csv\", \"a+\")\n\nstartTime = datetime.now()\ndef mergeSort(alist):\n print(\"Splitting \",alist)\n if len(alist)>1:\n mid = len(alist)//2\n lefthalf = alist[:mid]\n righthalf = alist[mid:]\n\n mergeSort(lefthalf)\n mergeSort(righthalf)\n\n a=0\n b=0\n k=0\n while a < len(lefthalf) and b < len(righthalf):\n if lefthalf[a] < righthalf[b]:\n alist[k]=lefthalf[a]\n a=a+1\n else:\n alist[k]=righthalf[b]\n b=b+1\n k=k+1\n\n while a < len(lefthalf):\n alist[k]=lefthalf[a]\n a=a+1\n k=k+1\n\n while b < len(righthalf):\n alist[k]=righthalf[b]\n b=b+1\n k=k+1\n\nalist = []\nN = int(input(\"\"))\nnums = input(\"\").split()\nfor a in nums:\n alist.append(int(a))\nmergeSort(alist)\nprint(' '.join(str(a) for a in alist)+' \\n')\ntiempo = datetime.now() - startTime\n\narchivo.write(str(N)+\",\")\narchivo.write(str(tiempo)+\"\\n\")\narchivo.close()",
"step-ids": [
1,
2,
3,
4,
5
]
}
|
[
1,
2,
3,
4,
5
] |
import sys
sys.setrecursionlimit(10 ** 6)
n, s = map(int, input().split())
value = list(map(int, input().split()))
count = 0
def recursive(index, sum):
global count
if index == n:
if sum == s:
count += 1
return
recursive(index + 1, sum + value[index])
recursive(index + 1, sum)
recursive(0, 0)
if s == 0:
count -= 1
print(count)
|
normal
|
{
"blob_id": "f1aa12ec4ee2482db8abf1121a3443502544e1a2",
"index": 2815,
"step-1": "<mask token>\n\n\ndef recursive(index, sum):\n global count\n if index == n:\n if sum == s:\n count += 1\n return\n recursive(index + 1, sum + value[index])\n recursive(index + 1, sum)\n\n\n<mask token>\n",
"step-2": "<mask token>\nsys.setrecursionlimit(10 ** 6)\n<mask token>\n\n\ndef recursive(index, sum):\n global count\n if index == n:\n if sum == s:\n count += 1\n return\n recursive(index + 1, sum + value[index])\n recursive(index + 1, sum)\n\n\nrecursive(0, 0)\nif s == 0:\n count -= 1\nprint(count)\n",
"step-3": "<mask token>\nsys.setrecursionlimit(10 ** 6)\nn, s = map(int, input().split())\nvalue = list(map(int, input().split()))\ncount = 0\n\n\ndef recursive(index, sum):\n global count\n if index == n:\n if sum == s:\n count += 1\n return\n recursive(index + 1, sum + value[index])\n recursive(index + 1, sum)\n\n\nrecursive(0, 0)\nif s == 0:\n count -= 1\nprint(count)\n",
"step-4": "import sys\nsys.setrecursionlimit(10 ** 6)\nn, s = map(int, input().split())\nvalue = list(map(int, input().split()))\ncount = 0\n\n\ndef recursive(index, sum):\n global count\n if index == n:\n if sum == s:\n count += 1\n return\n recursive(index + 1, sum + value[index])\n recursive(index + 1, sum)\n\n\nrecursive(0, 0)\nif s == 0:\n count -= 1\nprint(count)\n",
"step-5": null,
"step-ids": [
1,
2,
3,
4
]
}
|
[
1,
2,
3,
4
] |
from setup import app, manager
from Users.controller import user_controller
from Test.controller import test_controller
app.register_blueprint(test_controller, url_prefix="/test") #registeting test_controller blueprint with the main "app" and asking it to handle all url that begins with "/test". For eg: http://127.0.0.1/test/anythingcanbehere/orhere/orhere all such urls will go the test_conrtoller file. For now we just have to defined endpoints "test_get", "test_post". Anything else will result in 404 not fond error.
app.register_blueprint(user_controller, url_prefix="/")
if __name__ == "__main__":
app.run(debug=True)
#manager.run()
|
normal
|
{
"blob_id": "afa22db946f77e9b33a443657592c20fbea21eb1",
"index": 6146,
"step-1": "<mask token>\n",
"step-2": "<mask token>\napp.register_blueprint(test_controller, url_prefix='/test')\napp.register_blueprint(user_controller, url_prefix='/')\nif __name__ == '__main__':\n app.run(debug=True)\n",
"step-3": "from setup import app, manager\nfrom Users.controller import user_controller\nfrom Test.controller import test_controller\napp.register_blueprint(test_controller, url_prefix='/test')\napp.register_blueprint(user_controller, url_prefix='/')\nif __name__ == '__main__':\n app.run(debug=True)\n",
"step-4": "from setup import app, manager\nfrom Users.controller import user_controller\nfrom Test.controller import test_controller\n\napp.register_blueprint(test_controller, url_prefix=\"/test\") #registeting test_controller blueprint with the main \"app\" and asking it to handle all url that begins with \"/test\". For eg: http://127.0.0.1/test/anythingcanbehere/orhere/orhere all such urls will go the test_conrtoller file. For now we just have to defined endpoints \"test_get\", \"test_post\". Anything else will result in 404 not fond error.\napp.register_blueprint(user_controller, url_prefix=\"/\")\n\n\nif __name__ == \"__main__\":\n app.run(debug=True)\n #manager.run()",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
# Copyright (c) 2017, Matt Layman
import bisect
import configparser
import os
import smartypants
from werkzeug.contrib.atom import AtomFeed, FeedEntry
from handroll import logger
from handroll.exceptions import AbortError
from handroll.extensions.base import Extension
from handroll.i18n import _
class BlogPost(object):
def __init__(self, **kwargs):
self.date = kwargs['date']
self.source_file = kwargs['source_file']
self.summary = smartypants.smartypants(kwargs['summary'])
self.title = smartypants.smartypants(kwargs['title'])
self.route = kwargs['route']
self.url = kwargs['url']
# Having the posts enables a blog post to find its relationships.
self._posts = kwargs['posts']
def __eq__(self, other):
if other is None:
return False
return self.__dict__ == other.__dict__
def __lt__(self, other):
return self.date < other.date
def __ne__(self, other):
return not self.__eq__(other)
def __repr__(self):
return 'BlogPost({}, {})'.format(self.source_file, self.date)
@property
def next(self):
"""Get the next chronological blog post."""
posts_by_date = self.posts_by_date
index = bisect.bisect_left(posts_by_date, self)
if index + 1 == len(posts_by_date):
return None
return posts_by_date[index + 1]
@property
def previous(self):
"""Get the previous chronological blog post."""
posts_by_date = self.posts_by_date
index = bisect.bisect_left(posts_by_date, self)
if index == 0:
return None
return posts_by_date[index - 1]
@property
def posts_by_date(self):
return sorted(self._posts.values(), key=lambda p: p.date)
class BlogExtension(Extension):
"""Track files marked as blog entries and generate a feed."""
handle_frontmatter_loaded = True
handle_pre_composition = True
handle_post_composition = True
required_metadata = {
'author': 'atom_author',
'id': 'atom_id',
'title': 'atom_title',
'url': 'atom_url',
}
def __init__(self, config):
super(BlogExtension, self).__init__(config)
self.posts = {}
self.atom_metadata = {}
self.atom_output = ''
self.list_template = None
self.list_output = None
self._resolver = None
self._should_generate = True
def on_pre_composition(self, director):
"""Check that all the required configuration exists."""
if not self._config.parser.has_section('blog'):
raise AbortError(
_('A blog section is missing in the configuration file.'))
# Collect atom feed configuration.
for metadata, option in self.required_metadata.items():
self._add_atom_metadata(metadata, option)
self.atom_output = self._get_option('atom_output')
# Collect HTML listing configuration.
if self._config.parser.has_option('blog', 'list_template'):
self.list_template = self._get_option('list_template')
self.list_output = self._get_option('list_output')
# Grab the resolver from the director for determining URLs for posts.
self._resolver = director.resolver
def on_frontmatter_loaded(self, source_file, frontmatter):
"""Record any new blog posts."""
if not self._is_post(frontmatter):
return
self._validate_post(source_file, frontmatter)
post = BlogPost(
date=frontmatter['date'],
source_file=source_file,
summary=frontmatter.get('summary', ''),
title=frontmatter['title'],
route=self._resolver.as_route(source_file),
url=self._resolver.as_url(source_file),
posts=self.posts,
)
frontmatter['post'] = post
if post != self.posts.get(source_file):
self.posts[source_file] = post
self._should_generate = True
def on_post_composition(self, director):
"""Generate blog output."""
if not self._should_generate:
return
blog_posts = sorted(
self.posts.values(), key=lambda p: p.date, reverse=True)
self._generate_atom_feed(director, blog_posts)
if self.list_template is not None:
self._generate_list_page(director, blog_posts)
self._should_generate = False
def _is_post(self, frontmatter):
"""Check if the front matter looks like a blog post."""
is_post = frontmatter.get('blog', False)
if type(is_post) != bool:
raise AbortError(
_('Invalid blog frontmatter (expects True or False): '
'{blog_value}').format(blog_value=is_post))
return is_post
def _validate_post(self, source_file, frontmatter):
"""Validate that the post contains all the required fields."""
required = set([
'date',
'title',
])
fields = set(frontmatter.keys())
missing = required - fields
if missing:
raise AbortError(_(
'The blog post, {filename}, '
'is missing required fields: {missing_fields}'.format(
filename=source_file, missing_fields=', '.join(missing))))
def _generate_atom_feed(self, director, blog_posts):
"""Generate the atom feed."""
logger.info(_('Generating Atom XML feed ...'))
builder = FeedBuilder(self.atom_metadata)
builder.add(blog_posts)
output_file = os.path.join(director.outdir, self.atom_output)
builder.write_to(output_file)
def _generate_list_page(self, director, blog_posts):
"""Generate the list page."""
logger.info(_('Generating blog list page ...'))
template = director.catalog.get_template(self.list_template)
builder = ListPageBuilder(template)
builder.add(blog_posts)
output_file = os.path.join(director.outdir, self.list_output)
builder.write_to(output_file)
def _add_atom_metadata(self, name, option):
"""Add atom metadata from the config parser."""
self.atom_metadata[name] = self._get_option(option)
def _get_option(self, option):
"""Get an option out of the blog section."""
try:
return self._config.parser.get('blog', option)
except configparser.NoOptionError:
raise AbortError(
_('The blog extension requires the {option} option.').format(
option=option))
class BlogBuilder(object):
"""A template pattern class for generating output related to a blog."""
def _generate_output(self):
"""Generate output that belongs in the destination file.
Subclasses must implement this method.
"""
raise NotImplementedError()
def write_to(self, filepath):
"""Write the output to the provided filepath."""
output = self._generate_output()
with open(filepath, 'wb') as out:
out.write(output.encode('utf-8'))
out.write(b'<!-- handrolled for excellence -->\n')
class FeedBuilder(BlogBuilder):
"""Transform blog metadata and posts into an Atom feed."""
def __init__(self, metadata):
self.metadata = metadata
self._feed = AtomFeed(**metadata)
def add(self, posts):
"""Add blog posts to the feed."""
for post in posts:
self._feed.add(FeedEntry(
summary=post.summary,
title=post.title,
title_type='html',
url=post.url,
updated=post.date,
))
def _generate_output(self):
return self._feed.to_string()
class ListPageBuilder(BlogBuilder):
"""Transform blog posts into a list page."""
def __init__(self, template):
self._template = template
self._blog_list = ''
self._posts = None
def add(self, posts):
"""Add the posts and generate a blog list."""
li_html = []
for post in posts:
li_html.append(
u'<li><a href="{route}">{title}</a></li>'.format(
route=post.route, title=post.title))
self._blog_list = u'\n'.join(li_html)
self._posts = posts
def _generate_output(self):
context = {
'blog_list': self._blog_list,
'posts': self._posts,
}
return self._template.render(context)
|
normal
|
{
"blob_id": "c3d9ad49b62c56dfbd9674cb1ac5c206e6401a27",
"index": 830,
"step-1": "<mask token>\n\n\nclass BlogBuilder(object):\n <mask token>\n\n def _generate_output(self):\n \"\"\"Generate output that belongs in the destination file.\n\n Subclasses must implement this method.\n \"\"\"\n raise NotImplementedError()\n\n def write_to(self, filepath):\n \"\"\"Write the output to the provided filepath.\"\"\"\n output = self._generate_output()\n with open(filepath, 'wb') as out:\n out.write(output.encode('utf-8'))\n out.write(b'<!-- handrolled for excellence -->\\n')\n\n\nclass FeedBuilder(BlogBuilder):\n \"\"\"Transform blog metadata and posts into an Atom feed.\"\"\"\n\n def __init__(self, metadata):\n self.metadata = metadata\n self._feed = AtomFeed(**metadata)\n\n def add(self, posts):\n \"\"\"Add blog posts to the feed.\"\"\"\n for post in posts:\n self._feed.add(FeedEntry(summary=post.summary, title=post.title,\n title_type='html', url=post.url, updated=post.date))\n\n def _generate_output(self):\n return self._feed.to_string()\n\n\nclass ListPageBuilder(BlogBuilder):\n \"\"\"Transform blog posts into a list page.\"\"\"\n\n def __init__(self, template):\n self._template = template\n self._blog_list = ''\n self._posts = None\n\n def add(self, posts):\n \"\"\"Add the posts and generate a blog list.\"\"\"\n li_html = []\n for post in posts:\n li_html.append(u'<li><a href=\"{route}\">{title}</a></li>'.format\n (route=post.route, title=post.title))\n self._blog_list = u'\\n'.join(li_html)\n self._posts = posts\n\n def _generate_output(self):\n context = {'blog_list': self._blog_list, 'posts': self._posts}\n return self._template.render(context)\n",
"step-2": "<mask token>\n\n\nclass BlogExtension(Extension):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self, config):\n super(BlogExtension, self).__init__(config)\n self.posts = {}\n self.atom_metadata = {}\n self.atom_output = ''\n self.list_template = None\n self.list_output = None\n self._resolver = None\n self._should_generate = True\n\n def on_pre_composition(self, director):\n \"\"\"Check that all the required configuration exists.\"\"\"\n if not self._config.parser.has_section('blog'):\n raise AbortError(_(\n 'A blog section is missing in the configuration file.'))\n for metadata, option in self.required_metadata.items():\n self._add_atom_metadata(metadata, option)\n self.atom_output = self._get_option('atom_output')\n if self._config.parser.has_option('blog', 'list_template'):\n self.list_template = self._get_option('list_template')\n self.list_output = self._get_option('list_output')\n self._resolver = director.resolver\n <mask token>\n\n def on_post_composition(self, director):\n \"\"\"Generate blog output.\"\"\"\n if not self._should_generate:\n return\n blog_posts = sorted(self.posts.values(), key=lambda p: p.date,\n reverse=True)\n self._generate_atom_feed(director, blog_posts)\n if self.list_template is not None:\n self._generate_list_page(director, blog_posts)\n self._should_generate = False\n\n def _is_post(self, frontmatter):\n \"\"\"Check if the front matter looks like a blog post.\"\"\"\n is_post = frontmatter.get('blog', False)\n if type(is_post) != bool:\n raise AbortError(_(\n 'Invalid blog frontmatter (expects True or False): {blog_value}'\n ).format(blog_value=is_post))\n return is_post\n\n def _validate_post(self, source_file, frontmatter):\n \"\"\"Validate that the post contains all the required fields.\"\"\"\n required = set(['date', 'title'])\n fields = set(frontmatter.keys())\n missing = required - fields\n if missing:\n raise AbortError(_(\n 'The blog post, {filename}, is missing required fields: {missing_fields}'\n .format(filename=source_file, missing_fields=', '.join(\n missing))))\n\n def _generate_atom_feed(self, director, blog_posts):\n \"\"\"Generate the atom feed.\"\"\"\n logger.info(_('Generating Atom XML feed ...'))\n builder = FeedBuilder(self.atom_metadata)\n builder.add(blog_posts)\n output_file = os.path.join(director.outdir, self.atom_output)\n builder.write_to(output_file)\n\n def _generate_list_page(self, director, blog_posts):\n \"\"\"Generate the list page.\"\"\"\n logger.info(_('Generating blog list page ...'))\n template = director.catalog.get_template(self.list_template)\n builder = ListPageBuilder(template)\n builder.add(blog_posts)\n output_file = os.path.join(director.outdir, self.list_output)\n builder.write_to(output_file)\n\n def _add_atom_metadata(self, name, option):\n \"\"\"Add atom metadata from the config parser.\"\"\"\n self.atom_metadata[name] = self._get_option(option)\n\n def _get_option(self, option):\n \"\"\"Get an option out of the blog section.\"\"\"\n try:\n return self._config.parser.get('blog', option)\n except configparser.NoOptionError:\n raise AbortError(_(\n 'The blog extension requires the {option} option.').format(\n option=option))\n\n\nclass BlogBuilder(object):\n \"\"\"A template pattern class for generating output related to a blog.\"\"\"\n\n def _generate_output(self):\n \"\"\"Generate output that belongs in the destination file.\n\n Subclasses must implement this method.\n \"\"\"\n raise NotImplementedError()\n\n def write_to(self, filepath):\n \"\"\"Write the output to the provided filepath.\"\"\"\n output = self._generate_output()\n with open(filepath, 'wb') as out:\n out.write(output.encode('utf-8'))\n out.write(b'<!-- handrolled for excellence -->\\n')\n\n\nclass FeedBuilder(BlogBuilder):\n \"\"\"Transform blog metadata and posts into an Atom feed.\"\"\"\n\n def __init__(self, metadata):\n self.metadata = metadata\n self._feed = AtomFeed(**metadata)\n\n def add(self, posts):\n \"\"\"Add blog posts to the feed.\"\"\"\n for post in posts:\n self._feed.add(FeedEntry(summary=post.summary, title=post.title,\n title_type='html', url=post.url, updated=post.date))\n\n def _generate_output(self):\n return self._feed.to_string()\n\n\nclass ListPageBuilder(BlogBuilder):\n \"\"\"Transform blog posts into a list page.\"\"\"\n\n def __init__(self, template):\n self._template = template\n self._blog_list = ''\n self._posts = None\n\n def add(self, posts):\n \"\"\"Add the posts and generate a blog list.\"\"\"\n li_html = []\n for post in posts:\n li_html.append(u'<li><a href=\"{route}\">{title}</a></li>'.format\n (route=post.route, title=post.title))\n self._blog_list = u'\\n'.join(li_html)\n self._posts = posts\n\n def _generate_output(self):\n context = {'blog_list': self._blog_list, 'posts': self._posts}\n return self._template.render(context)\n",
"step-3": "<mask token>\n\n\nclass BlogPost(object):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n\nclass BlogExtension(Extension):\n \"\"\"Track files marked as blog entries and generate a feed.\"\"\"\n handle_frontmatter_loaded = True\n handle_pre_composition = True\n handle_post_composition = True\n required_metadata = {'author': 'atom_author', 'id': 'atom_id', 'title':\n 'atom_title', 'url': 'atom_url'}\n\n def __init__(self, config):\n super(BlogExtension, self).__init__(config)\n self.posts = {}\n self.atom_metadata = {}\n self.atom_output = ''\n self.list_template = None\n self.list_output = None\n self._resolver = None\n self._should_generate = True\n\n def on_pre_composition(self, director):\n \"\"\"Check that all the required configuration exists.\"\"\"\n if not self._config.parser.has_section('blog'):\n raise AbortError(_(\n 'A blog section is missing in the configuration file.'))\n for metadata, option in self.required_metadata.items():\n self._add_atom_metadata(metadata, option)\n self.atom_output = self._get_option('atom_output')\n if self._config.parser.has_option('blog', 'list_template'):\n self.list_template = self._get_option('list_template')\n self.list_output = self._get_option('list_output')\n self._resolver = director.resolver\n\n def on_frontmatter_loaded(self, source_file, frontmatter):\n \"\"\"Record any new blog posts.\"\"\"\n if not self._is_post(frontmatter):\n return\n self._validate_post(source_file, frontmatter)\n post = BlogPost(date=frontmatter['date'], source_file=source_file,\n summary=frontmatter.get('summary', ''), title=frontmatter[\n 'title'], route=self._resolver.as_route(source_file), url=self.\n _resolver.as_url(source_file), posts=self.posts)\n frontmatter['post'] = post\n if post != self.posts.get(source_file):\n self.posts[source_file] = post\n self._should_generate = True\n\n def on_post_composition(self, director):\n \"\"\"Generate blog output.\"\"\"\n if not self._should_generate:\n return\n blog_posts = sorted(self.posts.values(), key=lambda p: p.date,\n reverse=True)\n self._generate_atom_feed(director, blog_posts)\n if self.list_template is not None:\n self._generate_list_page(director, blog_posts)\n self._should_generate = False\n\n def _is_post(self, frontmatter):\n \"\"\"Check if the front matter looks like a blog post.\"\"\"\n is_post = frontmatter.get('blog', False)\n if type(is_post) != bool:\n raise AbortError(_(\n 'Invalid blog frontmatter (expects True or False): {blog_value}'\n ).format(blog_value=is_post))\n return is_post\n\n def _validate_post(self, source_file, frontmatter):\n \"\"\"Validate that the post contains all the required fields.\"\"\"\n required = set(['date', 'title'])\n fields = set(frontmatter.keys())\n missing = required - fields\n if missing:\n raise AbortError(_(\n 'The blog post, {filename}, is missing required fields: {missing_fields}'\n .format(filename=source_file, missing_fields=', '.join(\n missing))))\n\n def _generate_atom_feed(self, director, blog_posts):\n \"\"\"Generate the atom feed.\"\"\"\n logger.info(_('Generating Atom XML feed ...'))\n builder = FeedBuilder(self.atom_metadata)\n builder.add(blog_posts)\n output_file = os.path.join(director.outdir, self.atom_output)\n builder.write_to(output_file)\n\n def _generate_list_page(self, director, blog_posts):\n \"\"\"Generate the list page.\"\"\"\n logger.info(_('Generating blog list page ...'))\n template = director.catalog.get_template(self.list_template)\n builder = ListPageBuilder(template)\n builder.add(blog_posts)\n output_file = os.path.join(director.outdir, self.list_output)\n builder.write_to(output_file)\n\n def _add_atom_metadata(self, name, option):\n \"\"\"Add atom metadata from the config parser.\"\"\"\n self.atom_metadata[name] = self._get_option(option)\n\n def _get_option(self, option):\n \"\"\"Get an option out of the blog section.\"\"\"\n try:\n return self._config.parser.get('blog', option)\n except configparser.NoOptionError:\n raise AbortError(_(\n 'The blog extension requires the {option} option.').format(\n option=option))\n\n\nclass BlogBuilder(object):\n \"\"\"A template pattern class for generating output related to a blog.\"\"\"\n\n def _generate_output(self):\n \"\"\"Generate output that belongs in the destination file.\n\n Subclasses must implement this method.\n \"\"\"\n raise NotImplementedError()\n\n def write_to(self, filepath):\n \"\"\"Write the output to the provided filepath.\"\"\"\n output = self._generate_output()\n with open(filepath, 'wb') as out:\n out.write(output.encode('utf-8'))\n out.write(b'<!-- handrolled for excellence -->\\n')\n\n\nclass FeedBuilder(BlogBuilder):\n \"\"\"Transform blog metadata and posts into an Atom feed.\"\"\"\n\n def __init__(self, metadata):\n self.metadata = metadata\n self._feed = AtomFeed(**metadata)\n\n def add(self, posts):\n \"\"\"Add blog posts to the feed.\"\"\"\n for post in posts:\n self._feed.add(FeedEntry(summary=post.summary, title=post.title,\n title_type='html', url=post.url, updated=post.date))\n\n def _generate_output(self):\n return self._feed.to_string()\n\n\nclass ListPageBuilder(BlogBuilder):\n \"\"\"Transform blog posts into a list page.\"\"\"\n\n def __init__(self, template):\n self._template = template\n self._blog_list = ''\n self._posts = None\n\n def add(self, posts):\n \"\"\"Add the posts and generate a blog list.\"\"\"\n li_html = []\n for post in posts:\n li_html.append(u'<li><a href=\"{route}\">{title}</a></li>'.format\n (route=post.route, title=post.title))\n self._blog_list = u'\\n'.join(li_html)\n self._posts = posts\n\n def _generate_output(self):\n context = {'blog_list': self._blog_list, 'posts': self._posts}\n return self._template.render(context)\n",
"step-4": "<mask token>\n\n\nclass BlogPost(object):\n\n def __init__(self, **kwargs):\n self.date = kwargs['date']\n self.source_file = kwargs['source_file']\n self.summary = smartypants.smartypants(kwargs['summary'])\n self.title = smartypants.smartypants(kwargs['title'])\n self.route = kwargs['route']\n self.url = kwargs['url']\n self._posts = kwargs['posts']\n <mask token>\n\n def __lt__(self, other):\n return self.date < other.date\n\n def __ne__(self, other):\n return not self.__eq__(other)\n <mask token>\n\n @property\n def next(self):\n \"\"\"Get the next chronological blog post.\"\"\"\n posts_by_date = self.posts_by_date\n index = bisect.bisect_left(posts_by_date, self)\n if index + 1 == len(posts_by_date):\n return None\n return posts_by_date[index + 1]\n <mask token>\n <mask token>\n\n\nclass BlogExtension(Extension):\n \"\"\"Track files marked as blog entries and generate a feed.\"\"\"\n handle_frontmatter_loaded = True\n handle_pre_composition = True\n handle_post_composition = True\n required_metadata = {'author': 'atom_author', 'id': 'atom_id', 'title':\n 'atom_title', 'url': 'atom_url'}\n\n def __init__(self, config):\n super(BlogExtension, self).__init__(config)\n self.posts = {}\n self.atom_metadata = {}\n self.atom_output = ''\n self.list_template = None\n self.list_output = None\n self._resolver = None\n self._should_generate = True\n\n def on_pre_composition(self, director):\n \"\"\"Check that all the required configuration exists.\"\"\"\n if not self._config.parser.has_section('blog'):\n raise AbortError(_(\n 'A blog section is missing in the configuration file.'))\n for metadata, option in self.required_metadata.items():\n self._add_atom_metadata(metadata, option)\n self.atom_output = self._get_option('atom_output')\n if self._config.parser.has_option('blog', 'list_template'):\n self.list_template = self._get_option('list_template')\n self.list_output = self._get_option('list_output')\n self._resolver = director.resolver\n\n def on_frontmatter_loaded(self, source_file, frontmatter):\n \"\"\"Record any new blog posts.\"\"\"\n if not self._is_post(frontmatter):\n return\n self._validate_post(source_file, frontmatter)\n post = BlogPost(date=frontmatter['date'], source_file=source_file,\n summary=frontmatter.get('summary', ''), title=frontmatter[\n 'title'], route=self._resolver.as_route(source_file), url=self.\n _resolver.as_url(source_file), posts=self.posts)\n frontmatter['post'] = post\n if post != self.posts.get(source_file):\n self.posts[source_file] = post\n self._should_generate = True\n\n def on_post_composition(self, director):\n \"\"\"Generate blog output.\"\"\"\n if not self._should_generate:\n return\n blog_posts = sorted(self.posts.values(), key=lambda p: p.date,\n reverse=True)\n self._generate_atom_feed(director, blog_posts)\n if self.list_template is not None:\n self._generate_list_page(director, blog_posts)\n self._should_generate = False\n\n def _is_post(self, frontmatter):\n \"\"\"Check if the front matter looks like a blog post.\"\"\"\n is_post = frontmatter.get('blog', False)\n if type(is_post) != bool:\n raise AbortError(_(\n 'Invalid blog frontmatter (expects True or False): {blog_value}'\n ).format(blog_value=is_post))\n return is_post\n\n def _validate_post(self, source_file, frontmatter):\n \"\"\"Validate that the post contains all the required fields.\"\"\"\n required = set(['date', 'title'])\n fields = set(frontmatter.keys())\n missing = required - fields\n if missing:\n raise AbortError(_(\n 'The blog post, {filename}, is missing required fields: {missing_fields}'\n .format(filename=source_file, missing_fields=', '.join(\n missing))))\n\n def _generate_atom_feed(self, director, blog_posts):\n \"\"\"Generate the atom feed.\"\"\"\n logger.info(_('Generating Atom XML feed ...'))\n builder = FeedBuilder(self.atom_metadata)\n builder.add(blog_posts)\n output_file = os.path.join(director.outdir, self.atom_output)\n builder.write_to(output_file)\n\n def _generate_list_page(self, director, blog_posts):\n \"\"\"Generate the list page.\"\"\"\n logger.info(_('Generating blog list page ...'))\n template = director.catalog.get_template(self.list_template)\n builder = ListPageBuilder(template)\n builder.add(blog_posts)\n output_file = os.path.join(director.outdir, self.list_output)\n builder.write_to(output_file)\n\n def _add_atom_metadata(self, name, option):\n \"\"\"Add atom metadata from the config parser.\"\"\"\n self.atom_metadata[name] = self._get_option(option)\n\n def _get_option(self, option):\n \"\"\"Get an option out of the blog section.\"\"\"\n try:\n return self._config.parser.get('blog', option)\n except configparser.NoOptionError:\n raise AbortError(_(\n 'The blog extension requires the {option} option.').format(\n option=option))\n\n\nclass BlogBuilder(object):\n \"\"\"A template pattern class for generating output related to a blog.\"\"\"\n\n def _generate_output(self):\n \"\"\"Generate output that belongs in the destination file.\n\n Subclasses must implement this method.\n \"\"\"\n raise NotImplementedError()\n\n def write_to(self, filepath):\n \"\"\"Write the output to the provided filepath.\"\"\"\n output = self._generate_output()\n with open(filepath, 'wb') as out:\n out.write(output.encode('utf-8'))\n out.write(b'<!-- handrolled for excellence -->\\n')\n\n\nclass FeedBuilder(BlogBuilder):\n \"\"\"Transform blog metadata and posts into an Atom feed.\"\"\"\n\n def __init__(self, metadata):\n self.metadata = metadata\n self._feed = AtomFeed(**metadata)\n\n def add(self, posts):\n \"\"\"Add blog posts to the feed.\"\"\"\n for post in posts:\n self._feed.add(FeedEntry(summary=post.summary, title=post.title,\n title_type='html', url=post.url, updated=post.date))\n\n def _generate_output(self):\n return self._feed.to_string()\n\n\nclass ListPageBuilder(BlogBuilder):\n \"\"\"Transform blog posts into a list page.\"\"\"\n\n def __init__(self, template):\n self._template = template\n self._blog_list = ''\n self._posts = None\n\n def add(self, posts):\n \"\"\"Add the posts and generate a blog list.\"\"\"\n li_html = []\n for post in posts:\n li_html.append(u'<li><a href=\"{route}\">{title}</a></li>'.format\n (route=post.route, title=post.title))\n self._blog_list = u'\\n'.join(li_html)\n self._posts = posts\n\n def _generate_output(self):\n context = {'blog_list': self._blog_list, 'posts': self._posts}\n return self._template.render(context)\n",
"step-5": "# Copyright (c) 2017, Matt Layman\n\nimport bisect\nimport configparser\nimport os\n\nimport smartypants\nfrom werkzeug.contrib.atom import AtomFeed, FeedEntry\n\nfrom handroll import logger\nfrom handroll.exceptions import AbortError\nfrom handroll.extensions.base import Extension\nfrom handroll.i18n import _\n\n\nclass BlogPost(object):\n\n def __init__(self, **kwargs):\n self.date = kwargs['date']\n self.source_file = kwargs['source_file']\n self.summary = smartypants.smartypants(kwargs['summary'])\n self.title = smartypants.smartypants(kwargs['title'])\n self.route = kwargs['route']\n self.url = kwargs['url']\n # Having the posts enables a blog post to find its relationships.\n self._posts = kwargs['posts']\n\n def __eq__(self, other):\n if other is None:\n return False\n return self.__dict__ == other.__dict__\n\n def __lt__(self, other):\n return self.date < other.date\n\n def __ne__(self, other):\n return not self.__eq__(other)\n\n def __repr__(self):\n return 'BlogPost({}, {})'.format(self.source_file, self.date)\n\n @property\n def next(self):\n \"\"\"Get the next chronological blog post.\"\"\"\n posts_by_date = self.posts_by_date\n index = bisect.bisect_left(posts_by_date, self)\n if index + 1 == len(posts_by_date):\n return None\n return posts_by_date[index + 1]\n\n @property\n def previous(self):\n \"\"\"Get the previous chronological blog post.\"\"\"\n posts_by_date = self.posts_by_date\n index = bisect.bisect_left(posts_by_date, self)\n if index == 0:\n return None\n return posts_by_date[index - 1]\n\n @property\n def posts_by_date(self):\n return sorted(self._posts.values(), key=lambda p: p.date)\n\n\nclass BlogExtension(Extension):\n \"\"\"Track files marked as blog entries and generate a feed.\"\"\"\n\n handle_frontmatter_loaded = True\n handle_pre_composition = True\n handle_post_composition = True\n\n required_metadata = {\n 'author': 'atom_author',\n 'id': 'atom_id',\n 'title': 'atom_title',\n 'url': 'atom_url',\n }\n\n def __init__(self, config):\n super(BlogExtension, self).__init__(config)\n self.posts = {}\n self.atom_metadata = {}\n self.atom_output = ''\n self.list_template = None\n self.list_output = None\n self._resolver = None\n self._should_generate = True\n\n def on_pre_composition(self, director):\n \"\"\"Check that all the required configuration exists.\"\"\"\n if not self._config.parser.has_section('blog'):\n raise AbortError(\n _('A blog section is missing in the configuration file.'))\n\n # Collect atom feed configuration.\n for metadata, option in self.required_metadata.items():\n self._add_atom_metadata(metadata, option)\n self.atom_output = self._get_option('atom_output')\n\n # Collect HTML listing configuration.\n if self._config.parser.has_option('blog', 'list_template'):\n self.list_template = self._get_option('list_template')\n self.list_output = self._get_option('list_output')\n\n # Grab the resolver from the director for determining URLs for posts.\n self._resolver = director.resolver\n\n def on_frontmatter_loaded(self, source_file, frontmatter):\n \"\"\"Record any new blog posts.\"\"\"\n if not self._is_post(frontmatter):\n return\n self._validate_post(source_file, frontmatter)\n post = BlogPost(\n date=frontmatter['date'],\n source_file=source_file,\n summary=frontmatter.get('summary', ''),\n title=frontmatter['title'],\n route=self._resolver.as_route(source_file),\n url=self._resolver.as_url(source_file),\n posts=self.posts,\n )\n frontmatter['post'] = post\n if post != self.posts.get(source_file):\n self.posts[source_file] = post\n self._should_generate = True\n\n def on_post_composition(self, director):\n \"\"\"Generate blog output.\"\"\"\n if not self._should_generate:\n return\n blog_posts = sorted(\n self.posts.values(), key=lambda p: p.date, reverse=True)\n self._generate_atom_feed(director, blog_posts)\n if self.list_template is not None:\n self._generate_list_page(director, blog_posts)\n self._should_generate = False\n\n def _is_post(self, frontmatter):\n \"\"\"Check if the front matter looks like a blog post.\"\"\"\n is_post = frontmatter.get('blog', False)\n if type(is_post) != bool:\n raise AbortError(\n _('Invalid blog frontmatter (expects True or False): '\n '{blog_value}').format(blog_value=is_post))\n return is_post\n\n def _validate_post(self, source_file, frontmatter):\n \"\"\"Validate that the post contains all the required fields.\"\"\"\n required = set([\n 'date',\n 'title',\n ])\n fields = set(frontmatter.keys())\n missing = required - fields\n if missing:\n raise AbortError(_(\n 'The blog post, {filename}, '\n 'is missing required fields: {missing_fields}'.format(\n filename=source_file, missing_fields=', '.join(missing))))\n\n def _generate_atom_feed(self, director, blog_posts):\n \"\"\"Generate the atom feed.\"\"\"\n logger.info(_('Generating Atom XML feed ...'))\n builder = FeedBuilder(self.atom_metadata)\n builder.add(blog_posts)\n output_file = os.path.join(director.outdir, self.atom_output)\n builder.write_to(output_file)\n\n def _generate_list_page(self, director, blog_posts):\n \"\"\"Generate the list page.\"\"\"\n logger.info(_('Generating blog list page ...'))\n template = director.catalog.get_template(self.list_template)\n builder = ListPageBuilder(template)\n builder.add(blog_posts)\n output_file = os.path.join(director.outdir, self.list_output)\n builder.write_to(output_file)\n\n def _add_atom_metadata(self, name, option):\n \"\"\"Add atom metadata from the config parser.\"\"\"\n self.atom_metadata[name] = self._get_option(option)\n\n def _get_option(self, option):\n \"\"\"Get an option out of the blog section.\"\"\"\n try:\n return self._config.parser.get('blog', option)\n except configparser.NoOptionError:\n raise AbortError(\n _('The blog extension requires the {option} option.').format(\n option=option))\n\n\nclass BlogBuilder(object):\n \"\"\"A template pattern class for generating output related to a blog.\"\"\"\n\n def _generate_output(self):\n \"\"\"Generate output that belongs in the destination file.\n\n Subclasses must implement this method.\n \"\"\"\n raise NotImplementedError()\n\n def write_to(self, filepath):\n \"\"\"Write the output to the provided filepath.\"\"\"\n output = self._generate_output()\n with open(filepath, 'wb') as out:\n out.write(output.encode('utf-8'))\n out.write(b'<!-- handrolled for excellence -->\\n')\n\n\nclass FeedBuilder(BlogBuilder):\n \"\"\"Transform blog metadata and posts into an Atom feed.\"\"\"\n\n def __init__(self, metadata):\n self.metadata = metadata\n self._feed = AtomFeed(**metadata)\n\n def add(self, posts):\n \"\"\"Add blog posts to the feed.\"\"\"\n for post in posts:\n self._feed.add(FeedEntry(\n summary=post.summary,\n title=post.title,\n title_type='html',\n url=post.url,\n updated=post.date,\n ))\n\n def _generate_output(self):\n return self._feed.to_string()\n\n\nclass ListPageBuilder(BlogBuilder):\n \"\"\"Transform blog posts into a list page.\"\"\"\n\n def __init__(self, template):\n self._template = template\n self._blog_list = ''\n self._posts = None\n\n def add(self, posts):\n \"\"\"Add the posts and generate a blog list.\"\"\"\n li_html = []\n for post in posts:\n li_html.append(\n u'<li><a href=\"{route}\">{title}</a></li>'.format(\n route=post.route, title=post.title))\n self._blog_list = u'\\n'.join(li_html)\n self._posts = posts\n\n def _generate_output(self):\n context = {\n 'blog_list': self._blog_list,\n 'posts': self._posts,\n }\n return self._template.render(context)\n",
"step-ids": [
13,
24,
28,
32,
38
]
}
|
[
13,
24,
28,
32,
38
] |
<|reserved_special_token_0|>
class StudentListView(ListView):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def get_queryset(self):
return Student.objects.filter(course='Python')
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class StudentListView(ListView):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def get_queryset(self):
return Student.objects.filter(course='Python')
def get_context_data(self, *args, **kwargs):
context = super().get_context_data(*args, **kwargs)
context['freshers'] = Student.objects.all().order_by('name')
return context
def get_template_names(self):
if self.request.COOKIES['user'] == 'farzam':
template_name = 'staff/farzam.html'
else:
template_name = self.template_name
return template_name
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class StudentListView(ListView):
model = Student
template_name = 'staff/student_list.html'
ordering = ['name']
def get_queryset(self):
return Student.objects.filter(course='Python')
def get_context_data(self, *args, **kwargs):
context = super().get_context_data(*args, **kwargs)
context['freshers'] = Student.objects.all().order_by('name')
return context
def get_template_names(self):
if self.request.COOKIES['user'] == 'farzam':
template_name = 'staff/farzam.html'
else:
template_name = self.template_name
return template_name
<|reserved_special_token_1|>
from django.shortcuts import render
from django.views.generic.list import ListView
from .models import Student
class StudentListView(ListView):
model = Student
template_name = 'staff/student_list.html'
ordering = ['name']
def get_queryset(self):
return Student.objects.filter(course='Python')
def get_context_data(self, *args, **kwargs):
context = super().get_context_data(*args, **kwargs)
context['freshers'] = Student.objects.all().order_by('name')
return context
def get_template_names(self):
if self.request.COOKIES['user'] == 'farzam':
template_name = 'staff/farzam.html'
else:
template_name = self.template_name
return template_name
<|reserved_special_token_1|>
from django.shortcuts import render
from django.views.generic.list import ListView
from .models import Student
# Create your views here.
class StudentListView(ListView):
model = Student
# Custom has a HIGH priority than default in any field
template_name = 'staff/student_list.html'
# template_name_suffix = '_list'
ordering = ['name']
# context_object_name = 'students'
def get_queryset(self):
return Student.objects.filter(course='Python')
def get_context_data(self, *args, **kwargs):
context = super().get_context_data(*args, **kwargs)
context['freshers'] = Student.objects.all().order_by('name')
return context
def get_template_names(self):
# if self.request.user.is_superuser:
# template_name = 'staff/admin.html'
# elif self.request.user.is_staff:
# template_name = 'staff/staff.html'
# else:
# template_name = self.template_name
# return template_name
if self.request.COOKIES['user'] == 'farzam':
template_name = 'staff/farzam.html'
else:
template_name = self.template_name
return template_name
|
flexible
|
{
"blob_id": "bcad9869e6bc9b17eee490897b4b706171381366",
"index": 2093,
"step-1": "<mask token>\n\n\nclass StudentListView(ListView):\n <mask token>\n <mask token>\n <mask token>\n\n def get_queryset(self):\n return Student.objects.filter(course='Python')\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass StudentListView(ListView):\n <mask token>\n <mask token>\n <mask token>\n\n def get_queryset(self):\n return Student.objects.filter(course='Python')\n\n def get_context_data(self, *args, **kwargs):\n context = super().get_context_data(*args, **kwargs)\n context['freshers'] = Student.objects.all().order_by('name')\n return context\n\n def get_template_names(self):\n if self.request.COOKIES['user'] == 'farzam':\n template_name = 'staff/farzam.html'\n else:\n template_name = self.template_name\n return template_name\n",
"step-3": "<mask token>\n\n\nclass StudentListView(ListView):\n model = Student\n template_name = 'staff/student_list.html'\n ordering = ['name']\n\n def get_queryset(self):\n return Student.objects.filter(course='Python')\n\n def get_context_data(self, *args, **kwargs):\n context = super().get_context_data(*args, **kwargs)\n context['freshers'] = Student.objects.all().order_by('name')\n return context\n\n def get_template_names(self):\n if self.request.COOKIES['user'] == 'farzam':\n template_name = 'staff/farzam.html'\n else:\n template_name = self.template_name\n return template_name\n",
"step-4": "from django.shortcuts import render\nfrom django.views.generic.list import ListView\nfrom .models import Student\n\n\nclass StudentListView(ListView):\n model = Student\n template_name = 'staff/student_list.html'\n ordering = ['name']\n\n def get_queryset(self):\n return Student.objects.filter(course='Python')\n\n def get_context_data(self, *args, **kwargs):\n context = super().get_context_data(*args, **kwargs)\n context['freshers'] = Student.objects.all().order_by('name')\n return context\n\n def get_template_names(self):\n if self.request.COOKIES['user'] == 'farzam':\n template_name = 'staff/farzam.html'\n else:\n template_name = self.template_name\n return template_name\n",
"step-5": "from django.shortcuts import render\nfrom django.views.generic.list import ListView\nfrom .models import Student\n\n# Create your views here.\nclass StudentListView(ListView):\n model = Student\n\n # Custom has a HIGH priority than default in any field\n\n template_name = 'staff/student_list.html'\n # template_name_suffix = '_list'\n ordering = ['name']\n # context_object_name = 'students'\n\n def get_queryset(self):\n return Student.objects.filter(course='Python')\n\n\n def get_context_data(self, *args, **kwargs):\n context = super().get_context_data(*args, **kwargs)\n context['freshers'] = Student.objects.all().order_by('name')\n\n return context\n\n\n def get_template_names(self):\n # if self.request.user.is_superuser:\n # template_name = 'staff/admin.html'\n # elif self.request.user.is_staff:\n # template_name = 'staff/staff.html'\n # else:\n # template_name = self.template_name\n # return template_name\n\n\n if self.request.COOKIES['user'] == 'farzam':\n template_name = 'staff/farzam.html'\n else:\n template_name = self.template_name\n\n return template_name",
"step-ids": [
2,
4,
5,
6,
7
]
}
|
[
2,
4,
5,
6,
7
] |
from flask import Blueprint, request, make_response
from untils import restful, cacheuntil
from untils.captcha import Captcha
from exts import smsapi
from .forms import SMSCaptchaForm
from io import BytesIO
bp = Blueprint('common', __name__, url_prefix='/c')
# @bp.route('/sms_captcha/', methods=['post'])
# def sms_captcha():
# telephone = request.form.get('telephone')
# if not telephone:
# return restful.params_error(message='请传入手机号码！')
# code = Captcha.gene_text(number=4) # TODO: 获取随机4位数字字符串
# resp = smsapi.send_sms(telephone=telephone, param=code)
# if resp:
# return restful.success(message='短信验证码发送成功!')
# else:
# return restful.params_error(message='短信验证码发送失败！')
# TODO: 发送短信验证码
@bp.route('/sms_captcha/', methods=['post'])
def sms_captcha():
form = SMSCaptchaForm(request.form)
if form.validate():
telephone = form.telephone.data # TODO: 获取手机号
code = Captcha.gene_text(number=4) # TODO: 获取随机4位数字字符串
resp = smsapi.send_sms(telephone=telephone, param=code)
if resp:
cacheuntil.set(telephone, code) # TODO: redis存储短信验证码
return restful.success(message='短信验证码发送成功!')
else:
return restful.params_error(message='短信验证码发送失败！')
else:
return restful.params_error(message=form.get_random_error(), data=form.get_all_errors())
# TODO: 图形验证码视图
@bp.route('/captcha/')
def CaptchaView():
text, image = Captcha.gene_graph_captcha()
cacheuntil.set(text.lower(), text.lower()) # TODO: redis存储图片验证码
out = BytesIO()
# TODO: 将图片保存到IO中格式png
image.save(out, 'png')
# TODO: 保存完毕后，移动指针到起始位置
out.seek(0)
# TODO: 将IO读取出来转为image/png响应
resp = make_response(out.read())
resp.content_type = 'image/png'
return resp
|
normal
|
{
"blob_id": "856beaf3b9dad333d5b48c1be3a8ad917f8d020c",
"index": 3634,
"step-1": "<mask token>\n\n\n@bp.route('/captcha/')\ndef CaptchaView():\n text, image = Captcha.gene_graph_captcha()\n cacheuntil.set(text.lower(), text.lower())\n out = BytesIO()\n image.save(out, 'png')\n out.seek(0)\n resp = make_response(out.read())\n resp.content_type = 'image/png'\n return resp\n",
"step-2": "<mask token>\n\n\n@bp.route('/sms_captcha/', methods=['post'])\ndef sms_captcha():\n form = SMSCaptchaForm(request.form)\n if form.validate():\n telephone = form.telephone.data\n code = Captcha.gene_text(number=4)\n resp = smsapi.send_sms(telephone=telephone, param=code)\n if resp:\n cacheuntil.set(telephone, code)\n return restful.success(message='短信验证码发送成功!')\n else:\n return restful.params_error(message='短信验证码发送失败！')\n else:\n return restful.params_error(message=form.get_random_error(), data=\n form.get_all_errors())\n\n\n@bp.route('/captcha/')\ndef CaptchaView():\n text, image = Captcha.gene_graph_captcha()\n cacheuntil.set(text.lower(), text.lower())\n out = BytesIO()\n image.save(out, 'png')\n out.seek(0)\n resp = make_response(out.read())\n resp.content_type = 'image/png'\n return resp\n",
"step-3": "<mask token>\nbp = Blueprint('common', __name__, url_prefix='/c')\n\n\n@bp.route('/sms_captcha/', methods=['post'])\ndef sms_captcha():\n form = SMSCaptchaForm(request.form)\n if form.validate():\n telephone = form.telephone.data\n code = Captcha.gene_text(number=4)\n resp = smsapi.send_sms(telephone=telephone, param=code)\n if resp:\n cacheuntil.set(telephone, code)\n return restful.success(message='短信验证码发送成功!')\n else:\n return restful.params_error(message='短信验证码发送失败！')\n else:\n return restful.params_error(message=form.get_random_error(), data=\n form.get_all_errors())\n\n\n@bp.route('/captcha/')\ndef CaptchaView():\n text, image = Captcha.gene_graph_captcha()\n cacheuntil.set(text.lower(), text.lower())\n out = BytesIO()\n image.save(out, 'png')\n out.seek(0)\n resp = make_response(out.read())\n resp.content_type = 'image/png'\n return resp\n",
"step-4": "from flask import Blueprint, request, make_response\nfrom untils import restful, cacheuntil\nfrom untils.captcha import Captcha\nfrom exts import smsapi\nfrom .forms import SMSCaptchaForm\nfrom io import BytesIO\nbp = Blueprint('common', __name__, url_prefix='/c')\n\n\n@bp.route('/sms_captcha/', methods=['post'])\ndef sms_captcha():\n form = SMSCaptchaForm(request.form)\n if form.validate():\n telephone = form.telephone.data\n code = Captcha.gene_text(number=4)\n resp = smsapi.send_sms(telephone=telephone, param=code)\n if resp:\n cacheuntil.set(telephone, code)\n return restful.success(message='短信验证码发送成功!')\n else:\n return restful.params_error(message='短信验证码发送失败！')\n else:\n return restful.params_error(message=form.get_random_error(), data=\n form.get_all_errors())\n\n\n@bp.route('/captcha/')\ndef CaptchaView():\n text, image = Captcha.gene_graph_captcha()\n cacheuntil.set(text.lower(), text.lower())\n out = BytesIO()\n image.save(out, 'png')\n out.seek(0)\n resp = make_response(out.read())\n resp.content_type = 'image/png'\n return resp\n",
"step-5": "from flask import Blueprint, request, make_response\nfrom untils import restful, cacheuntil\nfrom untils.captcha import Captcha\nfrom exts import smsapi\nfrom .forms import SMSCaptchaForm\nfrom io import BytesIO\n\nbp = Blueprint('common', __name__, url_prefix='/c')\n\n\n# @bp.route('/sms_captcha/', methods=['post'])\n# def sms_captcha():\n# telephone = request.form.get('telephone')\n# if not telephone:\n# return restful.params_error(message='请传入手机号码！')\n# code = Captcha.gene_text(number=4) # TODO: 获取随机4位数字字符串\n# resp = smsapi.send_sms(telephone=telephone, param=code)\n# if resp:\n# return restful.success(message='短信验证码发送成功!')\n# else:\n# return restful.params_error(message='短信验证码发送失败！')\n\n\n# TODO: 发送短信验证码\n@bp.route('/sms_captcha/', methods=['post'])\ndef sms_captcha():\n form = SMSCaptchaForm(request.form)\n if form.validate():\n telephone = form.telephone.data # TODO: 获取手机号\n code = Captcha.gene_text(number=4) # TODO: 获取随机4位数字字符串\n resp = smsapi.send_sms(telephone=telephone, param=code)\n if resp:\n cacheuntil.set(telephone, code) # TODO: redis存储短信验证码\n return restful.success(message='短信验证码发送成功!')\n else:\n return restful.params_error(message='短信验证码发送失败！')\n else:\n return restful.params_error(message=form.get_random_error(), data=form.get_all_errors())\n\n\n# TODO: 图形验证码视图\n@bp.route('/captcha/')\ndef CaptchaView():\n text, image = Captcha.gene_graph_captcha()\n cacheuntil.set(text.lower(), text.lower()) # TODO: redis存储图片验证码\n out = BytesIO()\n # TODO: 将图片保存到IO中格式png\n image.save(out, 'png')\n # TODO: 保存完毕后，移动指针到起始位置\n out.seek(0)\n # TODO: 将IO读取出来转为image/png响应\n resp = make_response(out.read())\n resp.content_type = 'image/png'\n return resp\n",
"step-ids": [
1,
2,
3,
4,
5
]
}
|
[
1,
2,
3,
4,
5
] |
from typing import Sized
import pygame
import time
from pygame.locals import *
import random
SIZE = 20
BACKGROUND = (45, 34, 44)
W = 800
H = 400
SCREEN = (W, H)
class Snake:
def __init__(self, parent_screen, length):
self.parent_screen = parent_screen
self.length = length
self.snake = pygame.image.load(
"resources/snake.png").convert() # inserting snake image
self.snake_x = [W//2]*length # list with 'length' number of elements
self.snake_y = [H//2]*length
self.direction = "left" # default direction LEFT
def increase_length(self):
self.length += 1
# adds another block to snake
# appends a random value to the list...cause it will change immidiately in 'move()' method
self.snake_x.append(0)
self.snake_y.append(0)
def draw(self):
# self.parent_screen.fill(BACKGROUND)
for i in range(self.length):
self.parent_screen.blit(
self.snake, (self.snake_x[i], self.snake_y[i])) # drawing snake
pygame.display.flip()
def move(self):
# Logic gor moving the TAIL snakes [like 2nd snake will come to 1st pos, 3rd will move to 2nd pos.]
for i in range(self.length-1, 0, -1): # reverse for loop
self.snake_x[i] = self.snake_x[i-1]
self.snake_y[i] = self.snake_y[i-1]
# Logic for moving the head snakes
if self.direction == 'up':
self.snake_y[0] -= SIZE
if self.direction == 'down':
self.snake_y[0] += SIZE
if self.direction == 'right':
self.snake_x[0] += SIZE
if self.direction == 'left':
self.snake_x[0] -= SIZE
self.draw()
def move_up(self):
self.direction = 'up'
def move_down(self):
self.direction = 'down'
def move_right(self):
self.direction = 'right'
def move_left(self):
self.direction = 'left'
# Apple class
class Food:
def __init__(self, parent_screen):
self.parent_screen = parent_screen
self.food1 = pygame.image.load(
"resources/food.png").convert() # inserting food image
self.food2 = pygame.image.load(
"resources/snake1.png").convert()
self.food_x = SIZE*3
self.food_y = SIZE*2
def draw(self):
seq = [self.food1, self.food2]
self.parent_screen.blit(random.choice(seq), (self.food_x, self.food_y)) # drawing snake
pygame.display.flip()
def move(self):
self.food_x = random.randint(0, W//SIZE - 1) * SIZE
self.food_y = random.randint(0, H//SIZE - 1) * SIZE
class Game:
def __init__(self):
pygame.init()
pygame.display.set_caption("Snake Game")
self.surface = pygame.display.set_mode(
SCREEN) # crating game window 1000x720
self.surface.fill(BACKGROUND) # rgb color combination
# snake object (surface, size_of_snake)
self.snake = Snake(self.surface, 3)
self.snake.draw()
self.food = Food(self.surface) # Food object(Surface)
self.food.draw()
pygame.mixer.init() # pygame class mixer...for sound
# start playing background b_music
self.background_music()
def is_collision(self, x1, y1, x2, y2):
if x1 >= x2 and x1 < x2 + SIZE:
if y1 >= y2 and y1 < y2 + SIZE:
return True
else:
return False
def play_sound(self, sound_location):
sound = pygame.mixer.Sound(sound_location) # sound is for short time
pygame.mixer.Sound.play(sound)
def background_music(self):
pygame.mixer.music.load("resources/b_music1.mp3")
pygame.mixer.music.play(-1) #plays music infinitely
def render_background(self):
bg = pygame.image.load("resources/background.jpg")
self.surface.blit(bg, (0, 0))
def play(self):
self.render_background() # render the background
self.snake.move()
self.food.draw()
self.display_score()
self.screen_msgs()
pygame.display.flip()
# Snake colloding with apple
if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[0], self.food.food_x, self.food.food_y):
self.food.move() # moves apple to random position
self.snake.increase_length()
# play sound when eating the food
self.play_sound("resources/ding.mp3") # passing the music location
# to play the sound
# Snake colliding with itself Game Over logic
for i in range(2, self.snake.length):
if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[0], self.snake.snake_x[i], self.snake.snake_y[i]):
# play sound when game Over
self.play_sound("resources/fail_buzz.mp3")
raise "Game Over" # raising exeption
self.touch_border_action()
def pause_msg(self):
font = pygame.font.SysFont('arial', 20)
font1 = pygame.font.SysFont('Rockwell', 80)
line1 = font1.render(
f"<Paused>", True, (200, 200, 200))
line2 = font.render(
f"Press <UP, DOWN, LEFT, RIGHT> To Resume", True, (255,255, 0))
self.surface.blit(line1, (W//4 + 20, H//3))
self.surface.blit(line2, (W//4 + 30, H//3 + 100))
pygame.display.flip()
def show_game_over(self):
# self.surface.fill(BACKGROUND)
self.render_background()
font = pygame.font.SysFont('Cooper Black', 30)
font1 = pygame.font.SysFont('Cooper Black', 60)
line1 = font1.render(
f"GAME OVER !!", True, (200, 0, 0))
line1B = font.render(
f"<<Score : {self.snake.length - 3}>>", True, (10, 255, 10))
line2 = font.render(
f"Press <UP, DOWN, LEFT, RIGHT> To Play Again", True, (200, 200, 200))
line3 = font.render(
f"Press ESC to EXIT!", True, (255, 200, 0))
self.surface.blit(line1, (W//4 - 25, H//3-45))
self.surface.blit(line1B, (W//4 + 100, H//3 + 60))
self.surface.blit(line2, (45, H//3 + 110))
self.surface.blit(line3, (W//4+50, H//3 + 160))
pygame.display.flip()
# pause the background_music when game over
pygame.mixer.music.rewind()
pygame.mixer.music.pause()
def touch_border_action(self):
if self.snake.snake_x[0] == W:
self.snake.snake_x[0] = 0
elif self.snake.snake_x[0] < 0:
self.snake.snake_x[0] = W
if self.snake.snake_y[0] == H:
self.snake.snake_y[0] = 0
elif self.snake.snake_y[0] < 0:
self.snake.snake_y[0] = H
def reset_game(self):
self.snake = Snake(self.surface, 3)
self.food = Food(self.surface) # Food object(Surface)
def display_score(self):
font = pygame.font.SysFont('Algerian', 30)
score = font.render(
f"[Score : {self.snake.length - 3}]", True, (0, 255, 255))
self.surface.blit(score, (W //2 - 70 , 5))
def screen_msgs(self):
font = pygame.font.SysFont('aharoni',16)
msgs1 = font.render("[SPACE] to Pause", True, (200, 204, 255))
msgs2 = font.render("[ESC] to EXIT", True, (200, 204, 255))
self.surface.blit(msgs1, (W - 100, H - 20))
self.surface.blit(msgs2, (10, H - 20))
def run(self):
clock = pygame.time.Clock()
running = True
pause_game = False
while running:
for event in pygame.event.get():
if event.type == KEYDOWN:
if event.key == K_ESCAPE: # PRESS esc to escape the screen
running = False
if event.key == K_SPACE: # to pause the game
pygame.mixer.music.pause()
self.pause_msg()
pause_game = True
if event.key == K_UP:
self.snake.move_up()
pause_game = False
pygame.mixer.music.unpause()
if event.key == K_DOWN:
self.snake.move_down()
pause_game = False
pygame.mixer.music.unpause()
if event.key == K_LEFT:
self.snake.move_left()
pause_game = False
pygame.mixer.music.unpause()
if event.key == K_RIGHT:
self.snake.move_right()
pause_game = False
pygame.mixer.music.unpause()
elif event.type == QUIT:
running = False
if not pause_game:
try:
self.play()
except Exception as e:
self.show_game_over()
pause_game = True
self.reset_game()
clock.tick(60)
if __name__ == "__main__":
game = Game() # Game class object
game.run()
# auto-py-to-exe.exe # run this commande to convert to exe
|
normal
|
{
"blob_id": "935853a4afdb50a4652e14913d0cdb251a84ea14",
"index": 6427,
"step-1": "<mask token>\n\n\nclass Food:\n <mask token>\n\n def draw(self):\n seq = [self.food1, self.food2]\n self.parent_screen.blit(random.choice(seq), (self.food_x, self.food_y))\n pygame.display.flip()\n\n def move(self):\n self.food_x = random.randint(0, W // SIZE - 1) * SIZE\n self.food_y = random.randint(0, H // SIZE - 1) * SIZE\n\n\nclass Game:\n\n def __init__(self):\n pygame.init()\n pygame.display.set_caption('Snake Game')\n self.surface = pygame.display.set_mode(SCREEN)\n self.surface.fill(BACKGROUND)\n self.snake = Snake(self.surface, 3)\n self.snake.draw()\n self.food = Food(self.surface)\n self.food.draw()\n pygame.mixer.init()\n self.background_music()\n\n def is_collision(self, x1, y1, x2, y2):\n if x1 >= x2 and x1 < x2 + SIZE:\n if y1 >= y2 and y1 < y2 + SIZE:\n return True\n else:\n return False\n\n def play_sound(self, sound_location):\n sound = pygame.mixer.Sound(sound_location)\n pygame.mixer.Sound.play(sound)\n\n def background_music(self):\n pygame.mixer.music.load('resources/b_music1.mp3')\n pygame.mixer.music.play(-1)\n\n def render_background(self):\n bg = pygame.image.load('resources/background.jpg')\n self.surface.blit(bg, (0, 0))\n\n def play(self):\n self.render_background()\n self.snake.move()\n self.food.draw()\n self.display_score()\n self.screen_msgs()\n pygame.display.flip()\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[0],\n self.food.food_x, self.food.food_y):\n self.food.move()\n self.snake.increase_length()\n self.play_sound('resources/ding.mp3')\n for i in range(2, self.snake.length):\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[\n 0], self.snake.snake_x[i], self.snake.snake_y[i]):\n self.play_sound('resources/fail_buzz.mp3')\n raise 'Game Over'\n self.touch_border_action()\n\n def pause_msg(self):\n font = pygame.font.SysFont('arial', 20)\n font1 = pygame.font.SysFont('Rockwell', 80)\n line1 = font1.render(f'<Paused>', True, (200, 200, 200))\n line2 = font.render(f'Press <UP, DOWN, LEFT, RIGHT> To Resume', \n True, (255, 255, 0))\n self.surface.blit(line1, (W // 4 + 20, H // 3))\n self.surface.blit(line2, (W // 4 + 30, H // 3 + 100))\n pygame.display.flip()\n\n def show_game_over(self):\n self.render_background()\n font = pygame.font.SysFont('Cooper Black', 30)\n font1 = pygame.font.SysFont('Cooper Black', 60)\n line1 = font1.render(f'GAME OVER !!', True, (200, 0, 0))\n line1B = font.render(f'<<Score : {self.snake.length - 3}>>', True,\n (10, 255, 10))\n line2 = font.render(f'Press <UP, DOWN, LEFT, RIGHT> To Play Again',\n True, (200, 200, 200))\n line3 = font.render(f'Press ESC to EXIT!', True, (255, 200, 0))\n self.surface.blit(line1, (W // 4 - 25, H // 3 - 45))\n self.surface.blit(line1B, (W // 4 + 100, H // 3 + 60))\n self.surface.blit(line2, (45, H // 3 + 110))\n self.surface.blit(line3, (W // 4 + 50, H // 3 + 160))\n pygame.display.flip()\n pygame.mixer.music.rewind()\n pygame.mixer.music.pause()\n\n def touch_border_action(self):\n if self.snake.snake_x[0] == W:\n self.snake.snake_x[0] = 0\n elif self.snake.snake_x[0] < 0:\n self.snake.snake_x[0] = W\n if self.snake.snake_y[0] == H:\n self.snake.snake_y[0] = 0\n elif self.snake.snake_y[0] < 0:\n self.snake.snake_y[0] = H\n\n def reset_game(self):\n self.snake = Snake(self.surface, 3)\n self.food = Food(self.surface)\n\n def display_score(self):\n font = pygame.font.SysFont('Algerian', 30)\n score = font.render(f'[Score : {self.snake.length - 3}]', True, (0,\n 255, 255))\n self.surface.blit(score, (W // 2 - 70, 5))\n\n def screen_msgs(self):\n font = pygame.font.SysFont('aharoni', 16)\n msgs1 = font.render('[SPACE] to Pause', True, (200, 204, 255))\n msgs2 = font.render('[ESC] to EXIT', True, (200, 204, 255))\n self.surface.blit(msgs1, (W - 100, H - 20))\n self.surface.blit(msgs2, (10, H - 20))\n\n def run(self):\n clock = pygame.time.Clock()\n running = True\n pause_game = False\n while running:\n for event in pygame.event.get():\n if event.type == KEYDOWN:\n if event.key == K_ESCAPE:\n running = False\n if event.key == K_SPACE:\n pygame.mixer.music.pause()\n self.pause_msg()\n pause_game = True\n if event.key == K_UP:\n self.snake.move_up()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_DOWN:\n self.snake.move_down()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_LEFT:\n self.snake.move_left()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_RIGHT:\n self.snake.move_right()\n pause_game = False\n pygame.mixer.music.unpause()\n elif event.type == QUIT:\n running = False\n if not pause_game:\n try:\n self.play()\n except Exception as e:\n self.show_game_over()\n pause_game = True\n self.reset_game()\n clock.tick(60)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Snake:\n\n def __init__(self, parent_screen, length):\n self.parent_screen = parent_screen\n self.length = length\n self.snake = pygame.image.load('resources/snake.png').convert()\n self.snake_x = [W // 2] * length\n self.snake_y = [H // 2] * length\n self.direction = 'left'\n <mask token>\n\n def draw(self):\n for i in range(self.length):\n self.parent_screen.blit(self.snake, (self.snake_x[i], self.\n snake_y[i]))\n pygame.display.flip()\n\n def move(self):\n for i in range(self.length - 1, 0, -1):\n self.snake_x[i] = self.snake_x[i - 1]\n self.snake_y[i] = self.snake_y[i - 1]\n if self.direction == 'up':\n self.snake_y[0] -= SIZE\n if self.direction == 'down':\n self.snake_y[0] += SIZE\n if self.direction == 'right':\n self.snake_x[0] += SIZE\n if self.direction == 'left':\n self.snake_x[0] -= SIZE\n self.draw()\n\n def move_up(self):\n self.direction = 'up'\n\n def move_down(self):\n self.direction = 'down'\n\n def move_right(self):\n self.direction = 'right'\n\n def move_left(self):\n self.direction = 'left'\n\n\nclass Food:\n\n def __init__(self, parent_screen):\n self.parent_screen = parent_screen\n self.food1 = pygame.image.load('resources/food.png').convert()\n self.food2 = pygame.image.load('resources/snake1.png').convert()\n self.food_x = SIZE * 3\n self.food_y = SIZE * 2\n\n def draw(self):\n seq = [self.food1, self.food2]\n self.parent_screen.blit(random.choice(seq), (self.food_x, self.food_y))\n pygame.display.flip()\n\n def move(self):\n self.food_x = random.randint(0, W // SIZE - 1) * SIZE\n self.food_y = random.randint(0, H // SIZE - 1) * SIZE\n\n\nclass Game:\n\n def __init__(self):\n pygame.init()\n pygame.display.set_caption('Snake Game')\n self.surface = pygame.display.set_mode(SCREEN)\n self.surface.fill(BACKGROUND)\n self.snake = Snake(self.surface, 3)\n self.snake.draw()\n self.food = Food(self.surface)\n self.food.draw()\n pygame.mixer.init()\n self.background_music()\n\n def is_collision(self, x1, y1, x2, y2):\n if x1 >= x2 and x1 < x2 + SIZE:\n if y1 >= y2 and y1 < y2 + SIZE:\n return True\n else:\n return False\n\n def play_sound(self, sound_location):\n sound = pygame.mixer.Sound(sound_location)\n pygame.mixer.Sound.play(sound)\n\n def background_music(self):\n pygame.mixer.music.load('resources/b_music1.mp3')\n pygame.mixer.music.play(-1)\n\n def render_background(self):\n bg = pygame.image.load('resources/background.jpg')\n self.surface.blit(bg, (0, 0))\n\n def play(self):\n self.render_background()\n self.snake.move()\n self.food.draw()\n self.display_score()\n self.screen_msgs()\n pygame.display.flip()\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[0],\n self.food.food_x, self.food.food_y):\n self.food.move()\n self.snake.increase_length()\n self.play_sound('resources/ding.mp3')\n for i in range(2, self.snake.length):\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[\n 0], self.snake.snake_x[i], self.snake.snake_y[i]):\n self.play_sound('resources/fail_buzz.mp3')\n raise 'Game Over'\n self.touch_border_action()\n\n def pause_msg(self):\n font = pygame.font.SysFont('arial', 20)\n font1 = pygame.font.SysFont('Rockwell', 80)\n line1 = font1.render(f'<Paused>', True, (200, 200, 200))\n line2 = font.render(f'Press <UP, DOWN, LEFT, RIGHT> To Resume', \n True, (255, 255, 0))\n self.surface.blit(line1, (W // 4 + 20, H // 3))\n self.surface.blit(line2, (W // 4 + 30, H // 3 + 100))\n pygame.display.flip()\n\n def show_game_over(self):\n self.render_background()\n font = pygame.font.SysFont('Cooper Black', 30)\n font1 = pygame.font.SysFont('Cooper Black', 60)\n line1 = font1.render(f'GAME OVER !!', True, (200, 0, 0))\n line1B = font.render(f'<<Score : {self.snake.length - 3}>>', True,\n (10, 255, 10))\n line2 = font.render(f'Press <UP, DOWN, LEFT, RIGHT> To Play Again',\n True, (200, 200, 200))\n line3 = font.render(f'Press ESC to EXIT!', True, (255, 200, 0))\n self.surface.blit(line1, (W // 4 - 25, H // 3 - 45))\n self.surface.blit(line1B, (W // 4 + 100, H // 3 + 60))\n self.surface.blit(line2, (45, H // 3 + 110))\n self.surface.blit(line3, (W // 4 + 50, H // 3 + 160))\n pygame.display.flip()\n pygame.mixer.music.rewind()\n pygame.mixer.music.pause()\n\n def touch_border_action(self):\n if self.snake.snake_x[0] == W:\n self.snake.snake_x[0] = 0\n elif self.snake.snake_x[0] < 0:\n self.snake.snake_x[0] = W\n if self.snake.snake_y[0] == H:\n self.snake.snake_y[0] = 0\n elif self.snake.snake_y[0] < 0:\n self.snake.snake_y[0] = H\n\n def reset_game(self):\n self.snake = Snake(self.surface, 3)\n self.food = Food(self.surface)\n\n def display_score(self):\n font = pygame.font.SysFont('Algerian', 30)\n score = font.render(f'[Score : {self.snake.length - 3}]', True, (0,\n 255, 255))\n self.surface.blit(score, (W // 2 - 70, 5))\n\n def screen_msgs(self):\n font = pygame.font.SysFont('aharoni', 16)\n msgs1 = font.render('[SPACE] to Pause', True, (200, 204, 255))\n msgs2 = font.render('[ESC] to EXIT', True, (200, 204, 255))\n self.surface.blit(msgs1, (W - 100, H - 20))\n self.surface.blit(msgs2, (10, H - 20))\n\n def run(self):\n clock = pygame.time.Clock()\n running = True\n pause_game = False\n while running:\n for event in pygame.event.get():\n if event.type == KEYDOWN:\n if event.key == K_ESCAPE:\n running = False\n if event.key == K_SPACE:\n pygame.mixer.music.pause()\n self.pause_msg()\n pause_game = True\n if event.key == K_UP:\n self.snake.move_up()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_DOWN:\n self.snake.move_down()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_LEFT:\n self.snake.move_left()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_RIGHT:\n self.snake.move_right()\n pause_game = False\n pygame.mixer.music.unpause()\n elif event.type == QUIT:\n running = False\n if not pause_game:\n try:\n self.play()\n except Exception as e:\n self.show_game_over()\n pause_game = True\n self.reset_game()\n clock.tick(60)\n\n\n<mask token>\n",
"step-3": "<mask token>\nSIZE = 20\nBACKGROUND = 45, 34, 44\nW = 800\nH = 400\nSCREEN = W, H\n\n\nclass Snake:\n\n def __init__(self, parent_screen, length):\n self.parent_screen = parent_screen\n self.length = length\n self.snake = pygame.image.load('resources/snake.png').convert()\n self.snake_x = [W // 2] * length\n self.snake_y = [H // 2] * length\n self.direction = 'left'\n\n def increase_length(self):\n self.length += 1\n self.snake_x.append(0)\n self.snake_y.append(0)\n\n def draw(self):\n for i in range(self.length):\n self.parent_screen.blit(self.snake, (self.snake_x[i], self.\n snake_y[i]))\n pygame.display.flip()\n\n def move(self):\n for i in range(self.length - 1, 0, -1):\n self.snake_x[i] = self.snake_x[i - 1]\n self.snake_y[i] = self.snake_y[i - 1]\n if self.direction == 'up':\n self.snake_y[0] -= SIZE\n if self.direction == 'down':\n self.snake_y[0] += SIZE\n if self.direction == 'right':\n self.snake_x[0] += SIZE\n if self.direction == 'left':\n self.snake_x[0] -= SIZE\n self.draw()\n\n def move_up(self):\n self.direction = 'up'\n\n def move_down(self):\n self.direction = 'down'\n\n def move_right(self):\n self.direction = 'right'\n\n def move_left(self):\n self.direction = 'left'\n\n\nclass Food:\n\n def __init__(self, parent_screen):\n self.parent_screen = parent_screen\n self.food1 = pygame.image.load('resources/food.png').convert()\n self.food2 = pygame.image.load('resources/snake1.png').convert()\n self.food_x = SIZE * 3\n self.food_y = SIZE * 2\n\n def draw(self):\n seq = [self.food1, self.food2]\n self.parent_screen.blit(random.choice(seq), (self.food_x, self.food_y))\n pygame.display.flip()\n\n def move(self):\n self.food_x = random.randint(0, W // SIZE - 1) * SIZE\n self.food_y = random.randint(0, H // SIZE - 1) * SIZE\n\n\nclass Game:\n\n def __init__(self):\n pygame.init()\n pygame.display.set_caption('Snake Game')\n self.surface = pygame.display.set_mode(SCREEN)\n self.surface.fill(BACKGROUND)\n self.snake = Snake(self.surface, 3)\n self.snake.draw()\n self.food = Food(self.surface)\n self.food.draw()\n pygame.mixer.init()\n self.background_music()\n\n def is_collision(self, x1, y1, x2, y2):\n if x1 >= x2 and x1 < x2 + SIZE:\n if y1 >= y2 and y1 < y2 + SIZE:\n return True\n else:\n return False\n\n def play_sound(self, sound_location):\n sound = pygame.mixer.Sound(sound_location)\n pygame.mixer.Sound.play(sound)\n\n def background_music(self):\n pygame.mixer.music.load('resources/b_music1.mp3')\n pygame.mixer.music.play(-1)\n\n def render_background(self):\n bg = pygame.image.load('resources/background.jpg')\n self.surface.blit(bg, (0, 0))\n\n def play(self):\n self.render_background()\n self.snake.move()\n self.food.draw()\n self.display_score()\n self.screen_msgs()\n pygame.display.flip()\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[0],\n self.food.food_x, self.food.food_y):\n self.food.move()\n self.snake.increase_length()\n self.play_sound('resources/ding.mp3')\n for i in range(2, self.snake.length):\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[\n 0], self.snake.snake_x[i], self.snake.snake_y[i]):\n self.play_sound('resources/fail_buzz.mp3')\n raise 'Game Over'\n self.touch_border_action()\n\n def pause_msg(self):\n font = pygame.font.SysFont('arial', 20)\n font1 = pygame.font.SysFont('Rockwell', 80)\n line1 = font1.render(f'<Paused>', True, (200, 200, 200))\n line2 = font.render(f'Press <UP, DOWN, LEFT, RIGHT> To Resume', \n True, (255, 255, 0))\n self.surface.blit(line1, (W // 4 + 20, H // 3))\n self.surface.blit(line2, (W // 4 + 30, H // 3 + 100))\n pygame.display.flip()\n\n def show_game_over(self):\n self.render_background()\n font = pygame.font.SysFont('Cooper Black', 30)\n font1 = pygame.font.SysFont('Cooper Black', 60)\n line1 = font1.render(f'GAME OVER !!', True, (200, 0, 0))\n line1B = font.render(f'<<Score : {self.snake.length - 3}>>', True,\n (10, 255, 10))\n line2 = font.render(f'Press <UP, DOWN, LEFT, RIGHT> To Play Again',\n True, (200, 200, 200))\n line3 = font.render(f'Press ESC to EXIT!', True, (255, 200, 0))\n self.surface.blit(line1, (W // 4 - 25, H // 3 - 45))\n self.surface.blit(line1B, (W // 4 + 100, H // 3 + 60))\n self.surface.blit(line2, (45, H // 3 + 110))\n self.surface.blit(line3, (W // 4 + 50, H // 3 + 160))\n pygame.display.flip()\n pygame.mixer.music.rewind()\n pygame.mixer.music.pause()\n\n def touch_border_action(self):\n if self.snake.snake_x[0] == W:\n self.snake.snake_x[0] = 0\n elif self.snake.snake_x[0] < 0:\n self.snake.snake_x[0] = W\n if self.snake.snake_y[0] == H:\n self.snake.snake_y[0] = 0\n elif self.snake.snake_y[0] < 0:\n self.snake.snake_y[0] = H\n\n def reset_game(self):\n self.snake = Snake(self.surface, 3)\n self.food = Food(self.surface)\n\n def display_score(self):\n font = pygame.font.SysFont('Algerian', 30)\n score = font.render(f'[Score : {self.snake.length - 3}]', True, (0,\n 255, 255))\n self.surface.blit(score, (W // 2 - 70, 5))\n\n def screen_msgs(self):\n font = pygame.font.SysFont('aharoni', 16)\n msgs1 = font.render('[SPACE] to Pause', True, (200, 204, 255))\n msgs2 = font.render('[ESC] to EXIT', True, (200, 204, 255))\n self.surface.blit(msgs1, (W - 100, H - 20))\n self.surface.blit(msgs2, (10, H - 20))\n\n def run(self):\n clock = pygame.time.Clock()\n running = True\n pause_game = False\n while running:\n for event in pygame.event.get():\n if event.type == KEYDOWN:\n if event.key == K_ESCAPE:\n running = False\n if event.key == K_SPACE:\n pygame.mixer.music.pause()\n self.pause_msg()\n pause_game = True\n if event.key == K_UP:\n self.snake.move_up()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_DOWN:\n self.snake.move_down()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_LEFT:\n self.snake.move_left()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_RIGHT:\n self.snake.move_right()\n pause_game = False\n pygame.mixer.music.unpause()\n elif event.type == QUIT:\n running = False\n if not pause_game:\n try:\n self.play()\n except Exception as e:\n self.show_game_over()\n pause_game = True\n self.reset_game()\n clock.tick(60)\n\n\nif __name__ == '__main__':\n game = Game()\n game.run()\n",
"step-4": "from typing import Sized\nimport pygame\nimport time\nfrom pygame.locals import *\nimport random\nSIZE = 20\nBACKGROUND = 45, 34, 44\nW = 800\nH = 400\nSCREEN = W, H\n\n\nclass Snake:\n\n def __init__(self, parent_screen, length):\n self.parent_screen = parent_screen\n self.length = length\n self.snake = pygame.image.load('resources/snake.png').convert()\n self.snake_x = [W // 2] * length\n self.snake_y = [H // 2] * length\n self.direction = 'left'\n\n def increase_length(self):\n self.length += 1\n self.snake_x.append(0)\n self.snake_y.append(0)\n\n def draw(self):\n for i in range(self.length):\n self.parent_screen.blit(self.snake, (self.snake_x[i], self.\n snake_y[i]))\n pygame.display.flip()\n\n def move(self):\n for i in range(self.length - 1, 0, -1):\n self.snake_x[i] = self.snake_x[i - 1]\n self.snake_y[i] = self.snake_y[i - 1]\n if self.direction == 'up':\n self.snake_y[0] -= SIZE\n if self.direction == 'down':\n self.snake_y[0] += SIZE\n if self.direction == 'right':\n self.snake_x[0] += SIZE\n if self.direction == 'left':\n self.snake_x[0] -= SIZE\n self.draw()\n\n def move_up(self):\n self.direction = 'up'\n\n def move_down(self):\n self.direction = 'down'\n\n def move_right(self):\n self.direction = 'right'\n\n def move_left(self):\n self.direction = 'left'\n\n\nclass Food:\n\n def __init__(self, parent_screen):\n self.parent_screen = parent_screen\n self.food1 = pygame.image.load('resources/food.png').convert()\n self.food2 = pygame.image.load('resources/snake1.png').convert()\n self.food_x = SIZE * 3\n self.food_y = SIZE * 2\n\n def draw(self):\n seq = [self.food1, self.food2]\n self.parent_screen.blit(random.choice(seq), (self.food_x, self.food_y))\n pygame.display.flip()\n\n def move(self):\n self.food_x = random.randint(0, W // SIZE - 1) * SIZE\n self.food_y = random.randint(0, H // SIZE - 1) * SIZE\n\n\nclass Game:\n\n def __init__(self):\n pygame.init()\n pygame.display.set_caption('Snake Game')\n self.surface = pygame.display.set_mode(SCREEN)\n self.surface.fill(BACKGROUND)\n self.snake = Snake(self.surface, 3)\n self.snake.draw()\n self.food = Food(self.surface)\n self.food.draw()\n pygame.mixer.init()\n self.background_music()\n\n def is_collision(self, x1, y1, x2, y2):\n if x1 >= x2 and x1 < x2 + SIZE:\n if y1 >= y2 and y1 < y2 + SIZE:\n return True\n else:\n return False\n\n def play_sound(self, sound_location):\n sound = pygame.mixer.Sound(sound_location)\n pygame.mixer.Sound.play(sound)\n\n def background_music(self):\n pygame.mixer.music.load('resources/b_music1.mp3')\n pygame.mixer.music.play(-1)\n\n def render_background(self):\n bg = pygame.image.load('resources/background.jpg')\n self.surface.blit(bg, (0, 0))\n\n def play(self):\n self.render_background()\n self.snake.move()\n self.food.draw()\n self.display_score()\n self.screen_msgs()\n pygame.display.flip()\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[0],\n self.food.food_x, self.food.food_y):\n self.food.move()\n self.snake.increase_length()\n self.play_sound('resources/ding.mp3')\n for i in range(2, self.snake.length):\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[\n 0], self.snake.snake_x[i], self.snake.snake_y[i]):\n self.play_sound('resources/fail_buzz.mp3')\n raise 'Game Over'\n self.touch_border_action()\n\n def pause_msg(self):\n font = pygame.font.SysFont('arial', 20)\n font1 = pygame.font.SysFont('Rockwell', 80)\n line1 = font1.render(f'<Paused>', True, (200, 200, 200))\n line2 = font.render(f'Press <UP, DOWN, LEFT, RIGHT> To Resume', \n True, (255, 255, 0))\n self.surface.blit(line1, (W // 4 + 20, H // 3))\n self.surface.blit(line2, (W // 4 + 30, H // 3 + 100))\n pygame.display.flip()\n\n def show_game_over(self):\n self.render_background()\n font = pygame.font.SysFont('Cooper Black', 30)\n font1 = pygame.font.SysFont('Cooper Black', 60)\n line1 = font1.render(f'GAME OVER !!', True, (200, 0, 0))\n line1B = font.render(f'<<Score : {self.snake.length - 3}>>', True,\n (10, 255, 10))\n line2 = font.render(f'Press <UP, DOWN, LEFT, RIGHT> To Play Again',\n True, (200, 200, 200))\n line3 = font.render(f'Press ESC to EXIT!', True, (255, 200, 0))\n self.surface.blit(line1, (W // 4 - 25, H // 3 - 45))\n self.surface.blit(line1B, (W // 4 + 100, H // 3 + 60))\n self.surface.blit(line2, (45, H // 3 + 110))\n self.surface.blit(line3, (W // 4 + 50, H // 3 + 160))\n pygame.display.flip()\n pygame.mixer.music.rewind()\n pygame.mixer.music.pause()\n\n def touch_border_action(self):\n if self.snake.snake_x[0] == W:\n self.snake.snake_x[0] = 0\n elif self.snake.snake_x[0] < 0:\n self.snake.snake_x[0] = W\n if self.snake.snake_y[0] == H:\n self.snake.snake_y[0] = 0\n elif self.snake.snake_y[0] < 0:\n self.snake.snake_y[0] = H\n\n def reset_game(self):\n self.snake = Snake(self.surface, 3)\n self.food = Food(self.surface)\n\n def display_score(self):\n font = pygame.font.SysFont('Algerian', 30)\n score = font.render(f'[Score : {self.snake.length - 3}]', True, (0,\n 255, 255))\n self.surface.blit(score, (W // 2 - 70, 5))\n\n def screen_msgs(self):\n font = pygame.font.SysFont('aharoni', 16)\n msgs1 = font.render('[SPACE] to Pause', True, (200, 204, 255))\n msgs2 = font.render('[ESC] to EXIT', True, (200, 204, 255))\n self.surface.blit(msgs1, (W - 100, H - 20))\n self.surface.blit(msgs2, (10, H - 20))\n\n def run(self):\n clock = pygame.time.Clock()\n running = True\n pause_game = False\n while running:\n for event in pygame.event.get():\n if event.type == KEYDOWN:\n if event.key == K_ESCAPE:\n running = False\n if event.key == K_SPACE:\n pygame.mixer.music.pause()\n self.pause_msg()\n pause_game = True\n if event.key == K_UP:\n self.snake.move_up()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_DOWN:\n self.snake.move_down()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_LEFT:\n self.snake.move_left()\n pause_game = False\n pygame.mixer.music.unpause()\n if event.key == K_RIGHT:\n self.snake.move_right()\n pause_game = False\n pygame.mixer.music.unpause()\n elif event.type == QUIT:\n running = False\n if not pause_game:\n try:\n self.play()\n except Exception as e:\n self.show_game_over()\n pause_game = True\n self.reset_game()\n clock.tick(60)\n\n\nif __name__ == '__main__':\n game = Game()\n game.run()\n",
"step-5": "from typing import Sized\nimport pygame\nimport time\nfrom pygame.locals import *\nimport random\n\nSIZE = 20\nBACKGROUND = (45, 34, 44)\nW = 800\nH = 400\nSCREEN = (W, H)\n\n\nclass Snake:\n def __init__(self, parent_screen, length):\n self.parent_screen = parent_screen\n self.length = length\n self.snake = pygame.image.load(\n \"resources/snake.png\").convert() # inserting snake image\n\n self.snake_x = [W//2]*length # list with 'length' number of elements\n self.snake_y = [H//2]*length\n\n self.direction = \"left\" # default direction LEFT\n\n def increase_length(self):\n self.length += 1\n\n # adds another block to snake\n # appends a random value to the list...cause it will change immidiately in 'move()' method\n self.snake_x.append(0)\n self.snake_y.append(0)\n\n def draw(self):\n # self.parent_screen.fill(BACKGROUND)\n for i in range(self.length):\n self.parent_screen.blit(\n self.snake, (self.snake_x[i], self.snake_y[i])) # drawing snake\n pygame.display.flip()\n\n def move(self):\n # Logic gor moving the TAIL snakes [like 2nd snake will come to 1st pos, 3rd will move to 2nd pos.]\n\n for i in range(self.length-1, 0, -1): # reverse for loop\n self.snake_x[i] = self.snake_x[i-1]\n self.snake_y[i] = self.snake_y[i-1]\n\n # Logic for moving the head snakes\n\n if self.direction == 'up':\n self.snake_y[0] -= SIZE\n if self.direction == 'down':\n self.snake_y[0] += SIZE\n if self.direction == 'right':\n self.snake_x[0] += SIZE\n if self.direction == 'left':\n self.snake_x[0] -= SIZE\n\n self.draw()\n\n def move_up(self):\n self.direction = 'up'\n\n def move_down(self):\n self.direction = 'down'\n\n def move_right(self):\n self.direction = 'right'\n\n def move_left(self):\n self.direction = 'left'\n\n# Apple class\n\n\nclass Food:\n def __init__(self, parent_screen):\n self.parent_screen = parent_screen\n self.food1 = pygame.image.load(\n \"resources/food.png\").convert() # inserting food image\n self.food2 = pygame.image.load(\n \"resources/snake1.png\").convert() \n\n self.food_x = SIZE*3\n self.food_y = SIZE*2\n\n def draw(self):\n seq = [self.food1, self.food2]\n self.parent_screen.blit(random.choice(seq), (self.food_x, self.food_y)) # drawing snake\n pygame.display.flip()\n\n def move(self):\n self.food_x = random.randint(0, W//SIZE - 1) * SIZE\n self.food_y = random.randint(0, H//SIZE - 1) * SIZE\n\n\nclass Game:\n\n def __init__(self):\n pygame.init()\n pygame.display.set_caption(\"Snake Game\")\n\n self.surface = pygame.display.set_mode(\n SCREEN) # crating game window 1000x720\n self.surface.fill(BACKGROUND) # rgb color combination\n\n # snake object (surface, size_of_snake)\n self.snake = Snake(self.surface, 3)\n self.snake.draw()\n\n self.food = Food(self.surface) # Food object(Surface)\n self.food.draw()\n\n pygame.mixer.init() # pygame class mixer...for sound\n\n # start playing background b_music\n self.background_music()\n\n def is_collision(self, x1, y1, x2, y2):\n if x1 >= x2 and x1 < x2 + SIZE:\n if y1 >= y2 and y1 < y2 + SIZE:\n return True\n\n else:\n return False\n\n def play_sound(self, sound_location):\n sound = pygame.mixer.Sound(sound_location) # sound is for short time\n pygame.mixer.Sound.play(sound)\n\n def background_music(self):\n pygame.mixer.music.load(\"resources/b_music1.mp3\")\n pygame.mixer.music.play(-1) #plays music infinitely\n\n def render_background(self):\n bg = pygame.image.load(\"resources/background.jpg\")\n self.surface.blit(bg, (0, 0))\n\n def play(self):\n\n self.render_background() # render the background\n self.snake.move()\n self.food.draw()\n self.display_score()\n self.screen_msgs()\n pygame.display.flip()\n\n # Snake colloding with apple\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[0], self.food.food_x, self.food.food_y):\n self.food.move() # moves apple to random position\n self.snake.increase_length()\n # play sound when eating the food\n self.play_sound(\"resources/ding.mp3\") # passing the music location\n # to play the sound\n\n # Snake colliding with itself Game Over logic\n for i in range(2, self.snake.length):\n if self.is_collision(self.snake.snake_x[0], self.snake.snake_y[0], self.snake.snake_x[i], self.snake.snake_y[i]):\n # play sound when game Over\n self.play_sound(\"resources/fail_buzz.mp3\")\n\n raise \"Game Over\" # raising exeption\n \n self.touch_border_action()\n \n def pause_msg(self):\n font = pygame.font.SysFont('arial', 20)\n font1 = pygame.font.SysFont('Rockwell', 80)\n line1 = font1.render(\n f\"<Paused>\", True, (200, 200, 200))\n line2 = font.render(\n f\"Press <UP, DOWN, LEFT, RIGHT> To Resume\", True, (255,255, 0))\n self.surface.blit(line1, (W//4 + 20, H//3))\n self.surface.blit(line2, (W//4 + 30, H//3 + 100))\n\n pygame.display.flip()\n\n def show_game_over(self):\n # self.surface.fill(BACKGROUND)\n self.render_background()\n\n font = pygame.font.SysFont('Cooper Black', 30)\n font1 = pygame.font.SysFont('Cooper Black', 60)\n line1 = font1.render(\n f\"GAME OVER !!\", True, (200, 0, 0))\n line1B = font.render(\n f\"<<Score : {self.snake.length - 3}>>\", True, (10, 255, 10))\n\n line2 = font.render(\n f\"Press <UP, DOWN, LEFT, RIGHT> To Play Again\", True, (200, 200, 200))\n line3 = font.render(\n f\"Press ESC to EXIT!\", True, (255, 200, 0))\n\n self.surface.blit(line1, (W//4 - 25, H//3-45))\n self.surface.blit(line1B, (W//4 + 100, H//3 + 60))\n self.surface.blit(line2, (45, H//3 + 110))\n self.surface.blit(line3, (W//4+50, H//3 + 160))\n\n pygame.display.flip()\n # pause the background_music when game over\n pygame.mixer.music.rewind()\n pygame.mixer.music.pause()\n \n def touch_border_action(self):\n if self.snake.snake_x[0] == W:\n self.snake.snake_x[0] = 0\n elif self.snake.snake_x[0] < 0:\n self.snake.snake_x[0] = W \n \n if self.snake.snake_y[0] == H:\n self.snake.snake_y[0] = 0\n elif self.snake.snake_y[0] < 0:\n self.snake.snake_y[0] = H\n\n def reset_game(self):\n self.snake = Snake(self.surface, 3)\n\n self.food = Food(self.surface) # Food object(Surface)\n\n def display_score(self):\n font = pygame.font.SysFont('Algerian', 30)\n score = font.render(\n f\"[Score : {self.snake.length - 3}]\", True, (0, 255, 255))\n self.surface.blit(score, (W //2 - 70 , 5))\n\n def screen_msgs(self):\n font = pygame.font.SysFont('aharoni',16)\n msgs1 = font.render(\"[SPACE] to Pause\", True, (200, 204, 255))\n msgs2 = font.render(\"[ESC] to EXIT\", True, (200, 204, 255))\n self.surface.blit(msgs1, (W - 100, H - 20))\n self.surface.blit(msgs2, (10, H - 20))\n\n def run(self):\n clock = pygame.time.Clock()\n running = True\n pause_game = False\n while running:\n\n for event in pygame.event.get():\n if event.type == KEYDOWN:\n if event.key == K_ESCAPE: # PRESS esc to escape the screen\n running = False\n if event.key == K_SPACE: # to pause the game\n pygame.mixer.music.pause()\n self.pause_msg()\n pause_game = True\n\n if event.key == K_UP:\n self.snake.move_up()\n pause_game = False\n pygame.mixer.music.unpause()\n\n if event.key == K_DOWN:\n self.snake.move_down()\n pause_game = False\n pygame.mixer.music.unpause()\n\n if event.key == K_LEFT:\n self.snake.move_left()\n pause_game = False\n pygame.mixer.music.unpause()\n\n if event.key == K_RIGHT:\n self.snake.move_right()\n pause_game = False\n pygame.mixer.music.unpause()\n\n elif event.type == QUIT:\n running = False\n\n if not pause_game:\n try:\n self.play()\n except Exception as e:\n self.show_game_over()\n pause_game = True\n self.reset_game()\n\n clock.tick(60)\n\n\nif __name__ == \"__main__\":\n\n game = Game() # Game class object\n game.run()\n\n # auto-py-to-exe.exe # run this commande to convert to exe\n",
"step-ids": [
17,
26,
29,
30,
31
]
}
|
[
17,
26,
29,
30,
31
] |
TOTAL = 1306336
ONE = {
'0': 1473,
'1': 5936,
'2': 3681,
'3': 2996,
'4': 2480,
'5': 2494,
'6': 1324,
'7': 1474,
'8': 1754,
'9': 1740,
'a': 79714,
'b': 83472,
'c': 78015,
'd': 61702,
'e': 42190,
'f': 68530,
'g': 48942,
'h': 63661,
'i': 34947,
'j': 24312,
'k': 26724,
'l': 66351,
'm': 77245,
'n': 36942,
'o': 40744,
'p': 68978,
'q': 6750,
'r': 49135,
's': 116034,
't': 87440,
'u': 19423,
'v': 22356,
'w': 50718,
'x': 6079,
'y': 13089,
'z': 7491,
}
TWO = {
'0-': 19,
'00': 145,
'01': 143,
'02': 212,
'03': 90,
'04': 61,
'05': 241,
'06': 31,
'07': 151,
'08': 104,
'09': 99,
'0a': 8,
'0b': 8,
'0c': 16,
'0d': 18,
'0e': 8,
'0f': 7,
'0g': 5,
'0h': 4,
'0i': 9,
'0j': 1,
'0k': 4,
'0l': 2,
'0m': 8,
'0n': 10,
'0o': 6,
'0p': 10,
'0r': 10,
'0s': 10,
'0t': 6,
'0u': 5,
'0v': 5,
'0w': 5,
'0x': 4,
'0y': 3,
'0z': 5,
'1-': 177,
'10': 983,
'11': 537,
'12': 767,
'13': 327,
'14': 270,
'15': 257,
'16': 276,
'17': 318,
'18': 505,
'19': 280,
'1a': 61,
'1b': 58,
'1c': 84,
'1d': 52,
'1e': 33,
'1f': 32,
'1g': 38,
'1h': 44,
'1i': 25,
'1j': 13,
'1k': 32,
'1l': 33,
'1m': 59,
'1n': 39,
'1o': 37,
'1p': 68,
'1q': 7,
'1r': 21,
'1s': 336,
'1t': 54,
'1u': 15,
'1v': 14,
'1w': 53,
'1x': 7,
'1y': 14,
'1z': 10,
'2-': 30,
'20': 889,
'21': 406,
'22': 228,
'23': 172,
'24': 480,
'25': 177,
'26': 126,
'27': 96,
'28': 108,
'29': 73,
'2a': 50,
'2b': 94,
'2c': 59,
'2d': 61,
'2e': 29,
'2f': 29,
'2g': 47,
'2h': 24,
'2i': 22,
'2j': 13,
'2k': 27,
'2l': 35,
'2m': 62,
'2n': 53,
'2o': 22,
'2p': 48,
'2q': 7,
'2r': 14,
'2s': 53,
'2t': 43,
'2u': 20,
'2v': 7,
'2w': 43,
'2x': 21,
'2y': 7,
'2z': 6,
'3-': 53,
'30': 292,
'31': 224,
'32': 188,
'33': 179,
'34': 91,
'35': 153,
'36': 367,
'37': 101,
'38': 122,
'39': 118,
'3a': 50,
'3b': 45,
'3c': 37,
'3d': 350,
'3e': 17,
'3f': 26,
'3g': 125,
'3h': 27,
'3i': 11,
'3j': 9,
'3k': 19,
'3l': 25,
'3m': 45,
'3n': 17,
'3o': 15,
'3p': 32,
'3q': 12,
'3r': 72,
'3s': 53,
'3t': 28,
'3u': 3,
'3v': 13,
'3w': 36,
'3x': 17,
'3y': 14,
'3z': 10,
'4-': 76,
'40': 357,
'41': 259,
'42': 170,
'43': 88,
'44': 126,
'45': 102,
'46': 67,
'47': 56,
'48': 97,
'49': 62,
'4a': 41,
'4b': 49,
'4c': 55,
'4d': 53,
'4e': 51,
'4f': 43,
'4g': 52,
'4h': 44,
'4i': 19,
'4j': 13,
'4k': 22,
'4l': 48,
'4m': 62,
'4n': 22,
'4o': 21,
'4p': 60,
'4q': 11,
'4r': 26,
'4s': 94,
'4t': 44,
'4u': 40,
'4v': 17,
'4w': 45,
'4x': 58,
'4y': 24,
'4z': 6,
'5-': 30,
'50': 323,
'51': 574,
'52': 361,
'53': 79,
'54': 155,
'55': 141,
'56': 109,
'57': 66,
'58': 85,
'59': 87,
'5a': 32,
'5b': 17,
'5c': 21,
'5d': 39,
'5e': 7,
'5f': 17,
'5g': 21,
'5h': 10,
'5i': 54,
'5j': 4,
'5k': 16,
'5l': 19,
'5m': 22,
'5n': 8,
'5o': 12,
'5p': 27,
'5q': 4,
'5r': 9,
'5s': 55,
'5t': 38,
'5u': 17,
'5v': 5,
'5w': 5,
'5x': 9,
'5y': 10,
'5z': 6,
'6-': 42,
'60': 173,
'61': 182,
'62': 63,
'63': 56,
'64': 51,
'65': 125,
'66': 134,
'67': 62,
'68': 58,
'69': 105,
'6a': 12,
'6b': 7,
'6c': 11,
'6d': 61,
'6e': 6,
'6f': 15,
'6g': 7,
'6h': 11,
'6i': 6,
'6j': 1,
'6k': 7,
'6l': 8,
'6m': 16,
'6n': 1,
'6o': 5,
'6p': 12,
'6q': 6,
'6r': 15,
'6s': 28,
'6t': 12,
'6u': 2,
'6v': 2,
'6w': 8,
'6x': 5,
'6y': 9,
'7-': 34,
'70': 200,
'71': 205,
'72': 81,
'73': 58,
'74': 53,
'75': 59,
'76': 69,
'77': 191,
'78': 92,
'79': 48,
'7a': 33,
'7b': 18,
'7c': 28,
'7d': 31,
'7e': 13,
'7f': 15,
'7g': 11,
'7h': 15,
'7i': 7,
'7j': 8,
'7k': 16,
'7l': 19,
'7m': 15,
'7n': 5,
'7o': 13,
'7p': 10,
'7q': 2,
'7r': 4,
'7s': 33,
'7t': 37,
'7u': 2,
'7v': 3,
'7w': 13,
'7x': 13,
'7y': 12,
'7z': 8,
'8-': 61,
'80': 336,
'81': 180,
'82': 61,
'83': 62,
'84': 99,
'85': 85,
'86': 138,
'87': 85,
'88': 339,
'89': 78,
'8a': 11,
'8b': 16,
'8c': 9,
'8d': 10,
'8e': 6,
'8f': 10,
'8g': 18,
'8h': 7,
'8i': 12,
'8j': 4,
'8k': 6,
'8l': 6,
'8m': 11,
'8n': 2,
'8o': 8,
'8p': 15,
'8q': 7,
'8r': 10,
'8s': 18,
'8t': 24,
'8u': 3,
'8v': 2,
'8w': 4,
'8x': 1,
'8y': 6,
'8z': 4,
'9-': 45,
'90': 173,
'91': 275,
'92': 149,
'93': 59,
'94': 76,
'95': 82,
'96': 76,
'97': 123,
'98': 74,
'99': 270,
'9a': 19,
'9b': 9,
'9c': 22,
'9d': 17,
'9e': 10,
'9f': 5,
'9g': 16,
'9h': 6,
'9i': 20,
'9j': 10,
'9k': 9,
'9l': 13,
'9m': 19,
'9n': 8,
'9o': 8,
'9p': 29,
'9q': 3,
'9r': 11,
'9s': 22,
'9t': 26,
'9u': 3,
'9v': 8,
'9w': 11,
'9x': 21,
'9y': 8,
'9z': 5,
'a-': 307,
'a0': 6,
'a1': 172,
'a2': 58,
'a3': 25,
'a4': 16,
'a5': 9,
'a6': 8,
'a7': 20,
'a8': 12,
'a9': 15,
'aa': 778,
'ab': 3124,
'ac': 4416,
'ad': 5316,
'ae': 537,
'af': 1343,
'ag': 4563,
'ah': 760,
'ai': 5617,
'aj': 331,
'ak': 715,
'al': 9102,
'am': 4388,
'an': 8462,
'ao': 351,
'ap': 2155,
'aq': 426,
'ar': 9178,
'as': 6419,
'at': 4007,
'au': 2485,
'av': 1218,
'aw': 1869,
'ax': 403,
'ay': 457,
'az': 646,
'b-': 148,
'b0': 7,
'b1': 19,
'b2': 94,
'b3': 12,
'b4': 24,
'b5': 9,
'b6': 4,
'b7': 5,
'b8': 2,
'b9': 6,
'ba': 15356,
'bb': 477,
'bc': 323,
'bd': 266,
'be': 14064,
'bf': 200,
'bg': 189,
'bh': 311,
'bi': 11911,
'bj': 604,
'bk': 178,
'bl': 5297,
'bm': 306,
'bn': 218,
'bo': 11986,
'bp': 229,
'bq': 103,
'br': 5001,
'bs': 317,
'bt': 266,
'bu': 12643,
'bv': 126,
'bw': 147,
'bx': 91,
'by': 2394,
'bz': 139,
'c-': 120,
'c0': 13,
'c1': 21,
'c2': 78,
'c3': 34,
'c4': 30,
'c5': 6,
'c6': 4,
'c7': 10,
'c8': 4,
'c9': 8,
'ca': 18400,
'cb': 368,
'cc': 678,
'cd': 484,
'ce': 3579,
'cf': 300,
'cg': 253,
'ch': 11318,
'ci': 2463,
'cj': 218,
'ck': 165,
'cl': 5881,
'cm': 371,
'cn': 895,
'co': 15790,
'cp': 497,
'cq': 239,
'cr': 5502,
'cs': 1710,
'ct': 364,
'cu': 6370,
'cv': 200,
'cw': 201,
'cx': 142,
'cy': 1053,
'cz': 246,
'd-': 147,
'd0': 7,
'd1': 14,
'd2': 37,
'd3': 29,
'd4': 10,
'd5': 5,
'd6': 4,
'd7': 8,
'd8': 6,
'd9': 7,
'da': 9910,
'db': 288,
'dc': 410,
'dd': 303,
'de': 11362,
'df': 288,
'dg': 307,
'dh': 280,
'di': 10934,
'dj': 682,
'dk': 157,
'dl': 393,
'dm': 361,
'dn': 476,
'do': 10944,
'dp': 211,
'dq': 106,
'dr': 6965,
'ds': 393,
'dt': 262,
'du': 4853,
'dv': 376,
'dw': 211,
'dx': 157,
'dy': 630,
'dz': 169,
'e-': 1066,
'e0': 9,
'e1': 12,
'e2': 26,
'e3': 27,
'e4': 11,
'e5': 2,
'e6': 6,
'e7': 6,
'e8': 37,
'e9': 5,
'ea': 6784,
'eb': 771,
'ec': 1530,
'ed': 2674,
'ee': 257,
'ef': 482,
'eg': 508,
'eh': 276,
'ei': 552,
'ej': 151,
'ek': 329,
'el': 3657,
'em': 1785,
'en': 4879,
'eo': 205,
'ep': 613,
'eq': 553,
'er': 2767,
'es': 1797,
'et': 766,
'eu': 1095,
'ev': 2975,
'ew': 218,
'ex': 2521,
'ey': 2066,
'ez': 772,
'f-': 75,
'f0': 6,
'f1': 54,
'f2': 25,
'f3': 5,
'f4': 9,
'f5': 12,
'f6': 2,
'f7': 4,
'f8': 10,
'f9': 2,
'fa': 12917,
'fb': 165,
'fc': 272,
'fd': 154,
'fe': 8514,
'ff': 195,
'fg': 107,
'fh': 175,
'fi': 14464,
'fj': 192,
'fk': 90,
'fl': 7482,
'fm': 210,
'fn': 114,
'fo': 8864,
'fp': 132,
'fq': 77,
'fr': 7566,
'fs': 413,
'ft': 252,
'fu': 5259,
'fv': 88,
'fw': 129,
'fx': 197,
'fy': 155,
'fz': 143,
'g-': 138,
'g0': 21,
'g1': 38,
'g2': 26,
'g3': 34,
'g4': 26,
'g5': 11,
'g6': 5,
'g7': 5,
'g8': 15,
'g9': 5,
'ga': 8708,
'gb': 232,
'gc': 262,
'gd': 339,
'ge': 5489,
'gf': 176,
'gg': 245,
'gh': 399,
'gi': 3752,
'gj': 108,
'gk': 138,
'gl': 2606,
'gm': 387,
'gn': 217,
'go': 9782,
'gp': 455,
'gq': 78,
'gr': 8101,
'gs': 381,
'gt': 252,
'gu': 5335,
'gv': 138,
'gw': 202,
'gx': 176,
'gy': 265,
'gz': 395,
'h-': 120,
'h0': 6,
'h1': 14,
'h2': 149,
'h3': 15,
'h4': 28,
'h5': 6,
'h6': 3,
'h7': 2,
'h8': 8,
'h9': 2,
'ha': 16216,
'hb': 351,
'hc': 228,
'hd': 442,
'he': 12087,
'hf': 180,
'hg': 158,
'hh': 243,
'hi': 10582,
'hj': 147,
'hk': 331,
'hl': 215,
'hm': 214,
'hn': 317,
'ho': 14380,
'hp': 207,
'hq': 147,
'hr': 318,
'hs': 380,
'ht': 314,
'hu': 4226,
'hv': 119,
'hw': 147,
'hx': 150,
'hy': 943,
'hz': 266,
'i-': 527,
'i0': 9,
'i1': 8,
'i2': 34,
'i3': 14,
'i4': 17,
'i5': 4,
'i6': 6,
'i7': 12,
'i8': 8,
'i9': 11,
'ia': 606,
'ib': 659,
'ic': 2175,
'id': 1981,
'ie': 282,
'if': 1514,
'ig': 488,
'ih': 370,
'ii': 226,
'ij': 122,
'ik': 351,
'il': 2287,
'im': 2155,
'in': 10117,
'io': 344,
'ip': 818,
'iq': 154,
'ir': 1037,
'is': 2803,
'it': 4514,
'iu': 135,
'iv': 328,
'iw': 391,
'ix': 87,
'iy': 123,
'iz': 230,
'j-': 143,
'j0': 7,
'j1': 2,
'j2': 20,
'j3': 8,
'j4': 10,
'j5': 1,
'j6': 1,
'j7': 2,
'j8': 3,
'j9': 2,
'ja': 3167,
'jb': 251,
'jc': 336,
'jd': 290,
'je': 2239,
'jf': 152,
'jg': 136,
'jh': 228,
'ji': 1541,
'jj': 266,
'jk': 191,
'jl': 249,
'jm': 340,
'jn': 230,
'jo': 7930,
'jp': 278,
'jq': 82,
'jr': 261,
'js': 448,
'jt': 174,
'ju': 4460,
'jv': 125,
'jw': 191,
'jx': 200,
'jy': 202,
'jz': 146,
'k-': 110,
'k0': 7,
'k1': 29,
'k2': 30,
'k3': 14,
'k4': 5,
'k5': 7,
'k6': 5,
'k7': 7,
'k8': 4,
'k9': 32,
'ka': 3724,
'kb': 212,
'kc': 275,
'kd': 182,
'ke': 6054,
'kf': 130,
'kg': 137,
'kh': 420,
'ki': 6316,
'kj': 144,
'kk': 167,
'kl': 487,
'km': 248,
'kn': 2612,
'ko': 1868,
'kp': 181,
'kq': 59,
'kr': 785,
'ks': 300,
'kt': 192,
'ku': 1013,
'kv': 116,
'kw': 230,
'kx': 88,
'ky': 444,
'kz': 90,
'l-': 45,
'l0': 12,
'l1': 8,
'l2': 60,
'l3': 18,
'l4': 6,
'l5': 2,
'l6': 2,
'l7': 14,
'l8': 5,
'l9': 3,
'la': 14155,
'lb': 350,
'lc': 258,
'ld': 192,
'le': 13390,
'lf': 172,
'lg': 196,
'lh': 179,
'li': 13775,
'lj': 185,
'lk': 82,
'll': 276,
'lm': 185,
'ln': 163,
'lo': 17441,
'lp': 192,
'lq': 75,
'lr': 137,
'ls': 265,
'lt': 197,
'lu': 2947,
'lv': 210,
'lw': 133,
'lx': 124,
'ly': 761,
'lz': 136,
'm-': 162,
'm0': 11,
'm1': 26,
'm2': 47,
'm3': 32,
'm4': 31,
'm5': 8,
'm6': 7,
'm7': 6,
'm8': 11,
'm9': 4,
'ma': 21517,
'mb': 321,
'mc': 856,
'md': 322,
'me': 12983,
'mf': 160,
'mg': 199,
'mh': 180,
'mi': 10847,
'mj': 190,
'mk': 192,
'ml': 403,
'mm': 572,
'mn': 242,
'mo': 11994,
'mp': 473,
'mq': 80,
'mr': 773,
'ms': 631,
'mt': 424,
'mu': 3947,
'mv': 212,
'mw': 145,
'mx': 138,
'my': 8975,
'mz': 124,
'n-': 85,
'n0': 16,
'n1': 16,
'n2': 209,
'n3': 6,
'n4': 10,
'n5': 3,
'n6': 4,
'n7': 6,
'n8': 14,
'n9': 2,
'na': 5028,
'nb': 379,
'nc': 347,
'nd': 186,
'ne': 10656,
'nf': 213,
'ng': 232,
'nh': 270,
'ni': 3672,
'nj': 370,
'nk': 136,
'nl': 174,
'nm': 214,
'nn': 176,
'no': 10377,
'np': 174,
'nq': 65,
'nr': 161,
'ns': 248,
'nt': 270,
'nu': 1902,
'nv': 175,
'nw': 247,
'nx': 119,
'ny': 630,
'nz': 150,
'o-': 95,
'o0': 2,
'o1': 5,
'o2': 28,
'o3': 13,
'o4': 2,
'o5': 5,
'o6': 2,
'o7': 2,
'o8': 4,
'o9': 1,
'oa': 322,
'ob': 1267,
'oc': 959,
'od': 2152,
'oe': 162,
'of': 3428,
'og': 208,
'oh': 1587,
'oi': 1494,
'oj': 147,
'ok': 724,
'ol': 2309,
'om': 1532,
'on': 7256,
'oo': 234,
'op': 1673,
'oq': 58,
'or': 3282,
'os': 555,
'ot': 634,
'ou': 4435,
'ov': 944,
'ow': 4377,
'ox': 218,
'oy': 187,
'oz': 441,
'p-': 86,
'p0': 12,
'p1': 19,
'p2': 43,
'p3': 24,
'p4': 15,
'p5': 8,
'p6': 2,
'p7': 2,
'p8': 5,
'p9': 5,
'pa': 15758,
'pb': 196,
'pc': 606,
'pd': 263,
'pe': 6763,
'pf': 189,
'pg': 207,
'ph': 2496,
'pi': 7203,
'pj': 148,
'pk': 162,
'pl': 7080,
'pm': 258,
'pn': 171,
'po': 11038,
'pp': 369,
'pq': 91,
'pr': 7474,
'ps': 686,
'pt': 286,
'pu': 6557,
'pv': 156,
'pw': 142,
'px': 98,
'py': 246,
'pz': 114,
'q-': 38,
'q0': 3,
'q1': 8,
'q2': 8,
'q3': 6,
'q4': 4,
'q5': 3,
'q6': 3,
'q8': 44,
'q9': 4,
'qa': 220,
'qb': 92,
'qc': 118,
'qd': 194,
'qe': 117,
'qf': 81,
'qg': 84,
'qh': 109,
'qi': 391,
'qj': 79,
'qk': 73,
'ql': 125,
'qm': 82,
'qn': 92,
'qo': 114,
'qp': 102,
'qq': 248,
'qr': 83,
'qs': 131,
'qt': 89,
'qu': 3434,
'qv': 65,
'qw': 148,
'qx': 97,
'qy': 109,
'qz': 152,
'r-': 89,
'r0': 7,
'r1': 10,
'r2': 26,
'r3': 20,
'r4': 17,
'r5': 2,
'r6': 2,
'r7': 10,
'r8': 1,
'r9': 4,
'ra': 9842,
'rb': 211,
'rc': 334,
'rd': 204,
're': 13653,
'rf': 215,
'rg': 139,
'rh': 365,
'ri': 7079,
'rj': 156,
'rk': 119,
'rl': 150,
'rm': 254,
'rn': 173,
'ro': 9275,
'rp': 216,
'rq': 46,
'rr': 143,
'rs': 333,
'rt': 270,
'ru': 4797,
'rv': 182,
'rw': 142,
'rx': 199,
'ry': 348,
'rz': 102,
's-': 122,
's0': 6,
's1': 26,
's2': 33,
's3': 27,
's4': 19,
's5': 10,
's6': 12,
's7': 19,
's8': 12,
's9': 6,
'sa': 17038,
'sb': 328,
'sc': 3980,
'sd': 603,
'se': 18133,
'sf': 356,
'sg': 309,
'sh': 12388,
'si': 10761,
'sj': 286,
'sk': 1551,
'sl': 2639,
'sm': 2210,
'sn': 818,
'so': 11313,
'sp': 6560,
'sq': 323,
'sr': 385,
'ss': 497,
'st': 11992,
'su': 9496,
'sv': 251,
'sw': 1490,
'sx': 289,
'sy': 1044,
'sz': 702,
't-': 149,
't0': 4,
't1': 14,
't2': 16,
't3': 20,
't4': 8,
't5': 8,
't6': 6,
't7': 9,
't8': 34,
't9': 12,
'ta': 10163,
'tb': 227,
'tc': 353,
'td': 239,
'te': 12576,
'tf': 165,
'tg': 186,
'th': 20347,
'ti': 8367,
'tj': 321,
'tk': 178,
'tl': 273,
'tm': 289,
'tn': 269,
'to': 11512,
'tp': 227,
'tq': 90,
'tr': 12301,
'ts': 469,
'tt': 280,
'tu': 3572,
'tv': 534,
'tw': 2193,
'tx': 266,
'ty': 1588,
'tz': 175,
'u-': 119,
'u0': 3,
'u1': 15,
'u2': 21,
'u3': 9,
'u4': 3,
'u5': 3,
'u6': 3,
'u7': 2,
'u8': 11,
'u9': 5,
'ua': 258,
'ub': 352,
'uc': 350,
'ud': 179,
'ue': 138,
'uf': 188,
'ug': 891,
'uh': 194,
'ui': 127,
'uj': 66,
'uk': 422,
'ul': 536,
'um': 326,
'un': 3354,
'uo': 106,
'up': 2718,
'uq': 59,
'ur': 923,
'us': 6826,
'ut': 474,
'uu': 108,
'uv': 172,
'uw': 165,
'ux': 93,
'uy': 107,
'uz': 97,
'v-': 87,
'v0': 3,
'v1': 8,
'v2': 11,
'v3': 20,
'v4': 8,
'v5': 4,
'v6': 14,
'v7': 2,
'v8': 9,
'v9': 2,
'va': 5048,
'vb': 168,
'vc': 200,
'vd': 140,
've': 2797,
'vf': 111,
'vg': 120,
'vh': 121,
'vi': 8878,
'vj': 91,
'vk': 117,
'vl': 172,
'vm': 152,
'vn': 149,
'vo': 2303,
'vp': 172,
'vq': 76,
'vr': 232,
'vs': 192,
'vt': 174,
'vu': 214,
'vv': 139,
'vw': 105,
'vx': 101,
'vy': 119,
'vz': 97,
'w-': 49,
'w0': 9,
'w1': 15,
'w2': 10,
'w3': 49,
'w4': 11,
'w5': 5,
'w6': 2,
'w7': 5,
'w8': 16,
'w9': 7,
'wa': 13399,
'wb': 160,
'wc': 178,
'wd': 138,
'we': 10270,
'wf': 145,
'wg': 135,
'wh': 7676,
'wi': 8165,
'wj': 154,
'wk': 103,
'wl': 169,
'wm': 219,
'wn': 137,
'wo': 4635,
'wp': 199,
'wq': 78,
'wr': 578,
'ws': 246,
'wt': 170,
'wu': 306,
'wv': 136,
'ww': 2494,
'wx': 193,
'wy': 274,
'wz': 183,
'x-': 157,
'x0': 8,
'x1': 15,
'x2': 61,
'x3': 15,
'x4': 2,
'x5': 8,
'x6': 12,
'x7': 3,
'x8': 5,
'x9': 3,
'xa': 329,
'xb': 191,
'xc': 220,
'xd': 145,
'xe': 282,
'xf': 158,
'xg': 136,
'xh': 144,
'xi': 794,
'xj': 208,
'xk': 79,
'xl': 180,
'xm': 285,
'xn': 107,
'xo': 163,
'xp': 292,
'xq': 82,
'xr': 126,
'xs': 195,
'xt': 344,
'xu': 208,
'xv': 78,
'xw': 84,
'xx': 552,
'xy': 237,
'xz': 171,
'y-': 45,
'y0': 5,
'y1': 6,
'y2': 13,
'y3': 2,
'y5': 5,
'y6': 4,
'y7': 4,
'y8': 3,
'y9': 4,
'ya': 1485,
'yb': 102,
'yc': 195,
'yd': 137,
'ye': 2320,
'yf': 106,
'yg': 116,
'yh': 159,
'yi': 568,
'yj': 136,
'yk': 131,
'yl': 168,
'ym': 174,
'yn': 217,
'yo': 4580,
'yp': 214,
'yq': 89,
'yr': 98,
'ys': 233,
'yt': 248,
'yu': 779,
'yv': 101,
'yw': 155,
'yx': 142,
'yy': 176,
'yz': 169,
'z-': 40,
'z0': 4,
'z1': 6,
'z2': 6,
'z3': 5,
'z4': 1,
'z5': 4,
'z7': 2,
'z8': 1,
'z9': 3,
'za': 920,
'zb': 144,
'zc': 129,
'zd': 141,
'ze': 1083,
'zf': 95,
'zg': 277,
'zh': 651,
'zi': 676,
'zj': 315,
'zk': 102,
'zl': 176,
'zm': 120,
'zn': 117,
'zo': 741,
'zp': 107,
'zq': 131,
'zr': 148,
'zs': 167,
'zt': 102,
'zu': 336,
'zv': 70,
'zw': 126,
'zx': 108,
'zy': 171,
'zz': 266,
}
|
normal
|
{
"blob_id": "f254f93193a7cb7ed2e55e4481ed85821cafcd7b",
"index": 4339,
"step-1": "<mask token>\n",
"step-2": "TOTAL = 1306336\nONE = {'0': 1473, '1': 5936, '2': 3681, '3': 2996, '4': 2480, '5': 2494,\n '6': 1324, '7': 1474, '8': 1754, '9': 1740, 'a': 79714, 'b': 83472, 'c':\n 78015, 'd': 61702, 'e': 42190, 'f': 68530, 'g': 48942, 'h': 63661, 'i':\n 34947, 'j': 24312, 'k': 26724, 'l': 66351, 'm': 77245, 'n': 36942, 'o':\n 40744, 'p': 68978, 'q': 6750, 'r': 49135, 's': 116034, 't': 87440, 'u':\n 19423, 'v': 22356, 'w': 50718, 'x': 6079, 'y': 13089, 'z': 7491}\nTWO = {'0-': 19, '00': 145, '01': 143, '02': 212, '03': 90, '04': 61, '05':\n 241, '06': 31, '07': 151, '08': 104, '09': 99, '0a': 8, '0b': 8, '0c': \n 16, '0d': 18, '0e': 8, '0f': 7, '0g': 5, '0h': 4, '0i': 9, '0j': 1,\n '0k': 4, '0l': 2, '0m': 8, '0n': 10, '0o': 6, '0p': 10, '0r': 10, '0s':\n 10, '0t': 6, '0u': 5, '0v': 5, '0w': 5, '0x': 4, '0y': 3, '0z': 5, '1-':\n 177, '10': 983, '11': 537, '12': 767, '13': 327, '14': 270, '15': 257,\n '16': 276, '17': 318, '18': 505, '19': 280, '1a': 61, '1b': 58, '1c': \n 84, '1d': 52, '1e': 33, '1f': 32, '1g': 38, '1h': 44, '1i': 25, '1j': \n 13, '1k': 32, '1l': 33, '1m': 59, '1n': 39, '1o': 37, '1p': 68, '1q': 7,\n '1r': 21, '1s': 336, '1t': 54, '1u': 15, '1v': 14, '1w': 53, '1x': 7,\n '1y': 14, '1z': 10, '2-': 30, '20': 889, '21': 406, '22': 228, '23': \n 172, '24': 480, '25': 177, '26': 126, '27': 96, '28': 108, '29': 73,\n '2a': 50, '2b': 94, '2c': 59, '2d': 61, '2e': 29, '2f': 29, '2g': 47,\n '2h': 24, '2i': 22, '2j': 13, '2k': 27, '2l': 35, '2m': 62, '2n': 53,\n '2o': 22, '2p': 48, '2q': 7, '2r': 14, '2s': 53, '2t': 43, '2u': 20,\n '2v': 7, '2w': 43, '2x': 21, '2y': 7, '2z': 6, '3-': 53, '30': 292,\n '31': 224, '32': 188, '33': 179, '34': 91, '35': 153, '36': 367, '37': \n 101, '38': 122, '39': 118, '3a': 50, '3b': 45, '3c': 37, '3d': 350,\n '3e': 17, '3f': 26, '3g': 125, '3h': 27, '3i': 11, '3j': 9, '3k': 19,\n '3l': 25, '3m': 45, '3n': 17, '3o': 15, '3p': 32, '3q': 12, '3r': 72,\n '3s': 53, '3t': 28, '3u': 3, '3v': 13, '3w': 36, '3x': 17, '3y': 14,\n '3z': 10, '4-': 76, '40': 357, '41': 259, '42': 170, '43': 88, '44': \n 126, '45': 102, '46': 67, '47': 56, '48': 97, '49': 62, '4a': 41, '4b':\n 49, '4c': 55, '4d': 53, '4e': 51, '4f': 43, '4g': 52, '4h': 44, '4i': \n 19, '4j': 13, '4k': 22, '4l': 48, '4m': 62, '4n': 22, '4o': 21, '4p': \n 60, '4q': 11, '4r': 26, '4s': 94, '4t': 44, '4u': 40, '4v': 17, '4w': \n 45, '4x': 58, '4y': 24, '4z': 6, '5-': 30, '50': 323, '51': 574, '52': \n 361, '53': 79, '54': 155, '55': 141, '56': 109, '57': 66, '58': 85,\n '59': 87, '5a': 32, '5b': 17, '5c': 21, '5d': 39, '5e': 7, '5f': 17,\n '5g': 21, '5h': 10, '5i': 54, '5j': 4, '5k': 16, '5l': 19, '5m': 22,\n '5n': 8, '5o': 12, '5p': 27, '5q': 4, '5r': 9, '5s': 55, '5t': 38, '5u':\n 17, '5v': 5, '5w': 5, '5x': 9, '5y': 10, '5z': 6, '6-': 42, '60': 173,\n '61': 182, '62': 63, '63': 56, '64': 51, '65': 125, '66': 134, '67': 62,\n '68': 58, '69': 105, '6a': 12, '6b': 7, '6c': 11, '6d': 61, '6e': 6,\n '6f': 15, '6g': 7, '6h': 11, '6i': 6, '6j': 1, '6k': 7, '6l': 8, '6m': \n 16, '6n': 1, '6o': 5, '6p': 12, '6q': 6, '6r': 15, '6s': 28, '6t': 12,\n '6u': 2, '6v': 2, '6w': 8, '6x': 5, '6y': 9, '7-': 34, '70': 200, '71':\n 205, '72': 81, '73': 58, '74': 53, '75': 59, '76': 69, '77': 191, '78':\n 92, '79': 48, '7a': 33, '7b': 18, '7c': 28, '7d': 31, '7e': 13, '7f': \n 15, '7g': 11, '7h': 15, '7i': 7, '7j': 8, '7k': 16, '7l': 19, '7m': 15,\n '7n': 5, '7o': 13, '7p': 10, '7q': 2, '7r': 4, '7s': 33, '7t': 37, '7u':\n 2, '7v': 3, '7w': 13, '7x': 13, '7y': 12, '7z': 8, '8-': 61, '80': 336,\n '81': 180, '82': 61, '83': 62, '84': 99, '85': 85, '86': 138, '87': 85,\n '88': 339, '89': 78, '8a': 11, '8b': 16, '8c': 9, '8d': 10, '8e': 6,\n '8f': 10, '8g': 18, '8h': 7, '8i': 12, '8j': 4, '8k': 6, '8l': 6, '8m':\n 11, '8n': 2, '8o': 8, '8p': 15, '8q': 7, '8r': 10, '8s': 18, '8t': 24,\n '8u': 3, '8v': 2, '8w': 4, '8x': 1, '8y': 6, '8z': 4, '9-': 45, '90': \n 173, '91': 275, '92': 149, '93': 59, '94': 76, '95': 82, '96': 76, '97':\n 123, '98': 74, '99': 270, '9a': 19, '9b': 9, '9c': 22, '9d': 17, '9e': \n 10, '9f': 5, '9g': 16, '9h': 6, '9i': 20, '9j': 10, '9k': 9, '9l': 13,\n '9m': 19, '9n': 8, '9o': 8, '9p': 29, '9q': 3, '9r': 11, '9s': 22, '9t':\n 26, '9u': 3, '9v': 8, '9w': 11, '9x': 21, '9y': 8, '9z': 5, 'a-': 307,\n 'a0': 6, 'a1': 172, 'a2': 58, 'a3': 25, 'a4': 16, 'a5': 9, 'a6': 8,\n 'a7': 20, 'a8': 12, 'a9': 15, 'aa': 778, 'ab': 3124, 'ac': 4416, 'ad': \n 5316, 'ae': 537, 'af': 1343, 'ag': 4563, 'ah': 760, 'ai': 5617, 'aj': \n 331, 'ak': 715, 'al': 9102, 'am': 4388, 'an': 8462, 'ao': 351, 'ap': \n 2155, 'aq': 426, 'ar': 9178, 'as': 6419, 'at': 4007, 'au': 2485, 'av': \n 1218, 'aw': 1869, 'ax': 403, 'ay': 457, 'az': 646, 'b-': 148, 'b0': 7,\n 'b1': 19, 'b2': 94, 'b3': 12, 'b4': 24, 'b5': 9, 'b6': 4, 'b7': 5, 'b8':\n 2, 'b9': 6, 'ba': 15356, 'bb': 477, 'bc': 323, 'bd': 266, 'be': 14064,\n 'bf': 200, 'bg': 189, 'bh': 311, 'bi': 11911, 'bj': 604, 'bk': 178,\n 'bl': 5297, 'bm': 306, 'bn': 218, 'bo': 11986, 'bp': 229, 'bq': 103,\n 'br': 5001, 'bs': 317, 'bt': 266, 'bu': 12643, 'bv': 126, 'bw': 147,\n 'bx': 91, 'by': 2394, 'bz': 139, 'c-': 120, 'c0': 13, 'c1': 21, 'c2': \n 78, 'c3': 34, 'c4': 30, 'c5': 6, 'c6': 4, 'c7': 10, 'c8': 4, 'c9': 8,\n 'ca': 18400, 'cb': 368, 'cc': 678, 'cd': 484, 'ce': 3579, 'cf': 300,\n 'cg': 253, 'ch': 11318, 'ci': 2463, 'cj': 218, 'ck': 165, 'cl': 5881,\n 'cm': 371, 'cn': 895, 'co': 15790, 'cp': 497, 'cq': 239, 'cr': 5502,\n 'cs': 1710, 'ct': 364, 'cu': 6370, 'cv': 200, 'cw': 201, 'cx': 142,\n 'cy': 1053, 'cz': 246, 'd-': 147, 'd0': 7, 'd1': 14, 'd2': 37, 'd3': 29,\n 'd4': 10, 'd5': 5, 'd6': 4, 'd7': 8, 'd8': 6, 'd9': 7, 'da': 9910, 'db':\n 288, 'dc': 410, 'dd': 303, 'de': 11362, 'df': 288, 'dg': 307, 'dh': 280,\n 'di': 10934, 'dj': 682, 'dk': 157, 'dl': 393, 'dm': 361, 'dn': 476,\n 'do': 10944, 'dp': 211, 'dq': 106, 'dr': 6965, 'ds': 393, 'dt': 262,\n 'du': 4853, 'dv': 376, 'dw': 211, 'dx': 157, 'dy': 630, 'dz': 169, 'e-':\n 1066, 'e0': 9, 'e1': 12, 'e2': 26, 'e3': 27, 'e4': 11, 'e5': 2, 'e6': 6,\n 'e7': 6, 'e8': 37, 'e9': 5, 'ea': 6784, 'eb': 771, 'ec': 1530, 'ed': \n 2674, 'ee': 257, 'ef': 482, 'eg': 508, 'eh': 276, 'ei': 552, 'ej': 151,\n 'ek': 329, 'el': 3657, 'em': 1785, 'en': 4879, 'eo': 205, 'ep': 613,\n 'eq': 553, 'er': 2767, 'es': 1797, 'et': 766, 'eu': 1095, 'ev': 2975,\n 'ew': 218, 'ex': 2521, 'ey': 2066, 'ez': 772, 'f-': 75, 'f0': 6, 'f1': \n 54, 'f2': 25, 'f3': 5, 'f4': 9, 'f5': 12, 'f6': 2, 'f7': 4, 'f8': 10,\n 'f9': 2, 'fa': 12917, 'fb': 165, 'fc': 272, 'fd': 154, 'fe': 8514, 'ff':\n 195, 'fg': 107, 'fh': 175, 'fi': 14464, 'fj': 192, 'fk': 90, 'fl': 7482,\n 'fm': 210, 'fn': 114, 'fo': 8864, 'fp': 132, 'fq': 77, 'fr': 7566, 'fs':\n 413, 'ft': 252, 'fu': 5259, 'fv': 88, 'fw': 129, 'fx': 197, 'fy': 155,\n 'fz': 143, 'g-': 138, 'g0': 21, 'g1': 38, 'g2': 26, 'g3': 34, 'g4': 26,\n 'g5': 11, 'g6': 5, 'g7': 5, 'g8': 15, 'g9': 5, 'ga': 8708, 'gb': 232,\n 'gc': 262, 'gd': 339, 'ge': 5489, 'gf': 176, 'gg': 245, 'gh': 399, 'gi':\n 3752, 'gj': 108, 'gk': 138, 'gl': 2606, 'gm': 387, 'gn': 217, 'go': \n 9782, 'gp': 455, 'gq': 78, 'gr': 8101, 'gs': 381, 'gt': 252, 'gu': 5335,\n 'gv': 138, 'gw': 202, 'gx': 176, 'gy': 265, 'gz': 395, 'h-': 120, 'h0':\n 6, 'h1': 14, 'h2': 149, 'h3': 15, 'h4': 28, 'h5': 6, 'h6': 3, 'h7': 2,\n 'h8': 8, 'h9': 2, 'ha': 16216, 'hb': 351, 'hc': 228, 'hd': 442, 'he': \n 12087, 'hf': 180, 'hg': 158, 'hh': 243, 'hi': 10582, 'hj': 147, 'hk': \n 331, 'hl': 215, 'hm': 214, 'hn': 317, 'ho': 14380, 'hp': 207, 'hq': 147,\n 'hr': 318, 'hs': 380, 'ht': 314, 'hu': 4226, 'hv': 119, 'hw': 147, 'hx':\n 150, 'hy': 943, 'hz': 266, 'i-': 527, 'i0': 9, 'i1': 8, 'i2': 34, 'i3':\n 14, 'i4': 17, 'i5': 4, 'i6': 6, 'i7': 12, 'i8': 8, 'i9': 11, 'ia': 606,\n 'ib': 659, 'ic': 2175, 'id': 1981, 'ie': 282, 'if': 1514, 'ig': 488,\n 'ih': 370, 'ii': 226, 'ij': 122, 'ik': 351, 'il': 2287, 'im': 2155,\n 'in': 10117, 'io': 344, 'ip': 818, 'iq': 154, 'ir': 1037, 'is': 2803,\n 'it': 4514, 'iu': 135, 'iv': 328, 'iw': 391, 'ix': 87, 'iy': 123, 'iz':\n 230, 'j-': 143, 'j0': 7, 'j1': 2, 'j2': 20, 'j3': 8, 'j4': 10, 'j5': 1,\n 'j6': 1, 'j7': 2, 'j8': 3, 'j9': 2, 'ja': 3167, 'jb': 251, 'jc': 336,\n 'jd': 290, 'je': 2239, 'jf': 152, 'jg': 136, 'jh': 228, 'ji': 1541,\n 'jj': 266, 'jk': 191, 'jl': 249, 'jm': 340, 'jn': 230, 'jo': 7930, 'jp':\n 278, 'jq': 82, 'jr': 261, 'js': 448, 'jt': 174, 'ju': 4460, 'jv': 125,\n 'jw': 191, 'jx': 200, 'jy': 202, 'jz': 146, 'k-': 110, 'k0': 7, 'k1': \n 29, 'k2': 30, 'k3': 14, 'k4': 5, 'k5': 7, 'k6': 5, 'k7': 7, 'k8': 4,\n 'k9': 32, 'ka': 3724, 'kb': 212, 'kc': 275, 'kd': 182, 'ke': 6054, 'kf':\n 130, 'kg': 137, 'kh': 420, 'ki': 6316, 'kj': 144, 'kk': 167, 'kl': 487,\n 'km': 248, 'kn': 2612, 'ko': 1868, 'kp': 181, 'kq': 59, 'kr': 785, 'ks':\n 300, 'kt': 192, 'ku': 1013, 'kv': 116, 'kw': 230, 'kx': 88, 'ky': 444,\n 'kz': 90, 'l-': 45, 'l0': 12, 'l1': 8, 'l2': 60, 'l3': 18, 'l4': 6,\n 'l5': 2, 'l6': 2, 'l7': 14, 'l8': 5, 'l9': 3, 'la': 14155, 'lb': 350,\n 'lc': 258, 'ld': 192, 'le': 13390, 'lf': 172, 'lg': 196, 'lh': 179,\n 'li': 13775, 'lj': 185, 'lk': 82, 'll': 276, 'lm': 185, 'ln': 163, 'lo':\n 17441, 'lp': 192, 'lq': 75, 'lr': 137, 'ls': 265, 'lt': 197, 'lu': 2947,\n 'lv': 210, 'lw': 133, 'lx': 124, 'ly': 761, 'lz': 136, 'm-': 162, 'm0':\n 11, 'm1': 26, 'm2': 47, 'm3': 32, 'm4': 31, 'm5': 8, 'm6': 7, 'm7': 6,\n 'm8': 11, 'm9': 4, 'ma': 21517, 'mb': 321, 'mc': 856, 'md': 322, 'me': \n 12983, 'mf': 160, 'mg': 199, 'mh': 180, 'mi': 10847, 'mj': 190, 'mk': \n 192, 'ml': 403, 'mm': 572, 'mn': 242, 'mo': 11994, 'mp': 473, 'mq': 80,\n 'mr': 773, 'ms': 631, 'mt': 424, 'mu': 3947, 'mv': 212, 'mw': 145, 'mx':\n 138, 'my': 8975, 'mz': 124, 'n-': 85, 'n0': 16, 'n1': 16, 'n2': 209,\n 'n3': 6, 'n4': 10, 'n5': 3, 'n6': 4, 'n7': 6, 'n8': 14, 'n9': 2, 'na': \n 5028, 'nb': 379, 'nc': 347, 'nd': 186, 'ne': 10656, 'nf': 213, 'ng': \n 232, 'nh': 270, 'ni': 3672, 'nj': 370, 'nk': 136, 'nl': 174, 'nm': 214,\n 'nn': 176, 'no': 10377, 'np': 174, 'nq': 65, 'nr': 161, 'ns': 248, 'nt':\n 270, 'nu': 1902, 'nv': 175, 'nw': 247, 'nx': 119, 'ny': 630, 'nz': 150,\n 'o-': 95, 'o0': 2, 'o1': 5, 'o2': 28, 'o3': 13, 'o4': 2, 'o5': 5, 'o6':\n 2, 'o7': 2, 'o8': 4, 'o9': 1, 'oa': 322, 'ob': 1267, 'oc': 959, 'od': \n 2152, 'oe': 162, 'of': 3428, 'og': 208, 'oh': 1587, 'oi': 1494, 'oj': \n 147, 'ok': 724, 'ol': 2309, 'om': 1532, 'on': 7256, 'oo': 234, 'op': \n 1673, 'oq': 58, 'or': 3282, 'os': 555, 'ot': 634, 'ou': 4435, 'ov': 944,\n 'ow': 4377, 'ox': 218, 'oy': 187, 'oz': 441, 'p-': 86, 'p0': 12, 'p1': \n 19, 'p2': 43, 'p3': 24, 'p4': 15, 'p5': 8, 'p6': 2, 'p7': 2, 'p8': 5,\n 'p9': 5, 'pa': 15758, 'pb': 196, 'pc': 606, 'pd': 263, 'pe': 6763, 'pf':\n 189, 'pg': 207, 'ph': 2496, 'pi': 7203, 'pj': 148, 'pk': 162, 'pl': \n 7080, 'pm': 258, 'pn': 171, 'po': 11038, 'pp': 369, 'pq': 91, 'pr': \n 7474, 'ps': 686, 'pt': 286, 'pu': 6557, 'pv': 156, 'pw': 142, 'px': 98,\n 'py': 246, 'pz': 114, 'q-': 38, 'q0': 3, 'q1': 8, 'q2': 8, 'q3': 6,\n 'q4': 4, 'q5': 3, 'q6': 3, 'q8': 44, 'q9': 4, 'qa': 220, 'qb': 92, 'qc':\n 118, 'qd': 194, 'qe': 117, 'qf': 81, 'qg': 84, 'qh': 109, 'qi': 391,\n 'qj': 79, 'qk': 73, 'ql': 125, 'qm': 82, 'qn': 92, 'qo': 114, 'qp': 102,\n 'qq': 248, 'qr': 83, 'qs': 131, 'qt': 89, 'qu': 3434, 'qv': 65, 'qw': \n 148, 'qx': 97, 'qy': 109, 'qz': 152, 'r-': 89, 'r0': 7, 'r1': 10, 'r2':\n 26, 'r3': 20, 'r4': 17, 'r5': 2, 'r6': 2, 'r7': 10, 'r8': 1, 'r9': 4,\n 'ra': 9842, 'rb': 211, 'rc': 334, 'rd': 204, 're': 13653, 'rf': 215,\n 'rg': 139, 'rh': 365, 'ri': 7079, 'rj': 156, 'rk': 119, 'rl': 150, 'rm':\n 254, 'rn': 173, 'ro': 9275, 'rp': 216, 'rq': 46, 'rr': 143, 'rs': 333,\n 'rt': 270, 'ru': 4797, 'rv': 182, 'rw': 142, 'rx': 199, 'ry': 348, 'rz':\n 102, 's-': 122, 's0': 6, 's1': 26, 's2': 33, 's3': 27, 's4': 19, 's5': \n 10, 's6': 12, 's7': 19, 's8': 12, 's9': 6, 'sa': 17038, 'sb': 328, 'sc':\n 3980, 'sd': 603, 'se': 18133, 'sf': 356, 'sg': 309, 'sh': 12388, 'si': \n 10761, 'sj': 286, 'sk': 1551, 'sl': 2639, 'sm': 2210, 'sn': 818, 'so': \n 11313, 'sp': 6560, 'sq': 323, 'sr': 385, 'ss': 497, 'st': 11992, 'su': \n 9496, 'sv': 251, 'sw': 1490, 'sx': 289, 'sy': 1044, 'sz': 702, 't-': \n 149, 't0': 4, 't1': 14, 't2': 16, 't3': 20, 't4': 8, 't5': 8, 't6': 6,\n 't7': 9, 't8': 34, 't9': 12, 'ta': 10163, 'tb': 227, 'tc': 353, 'td': \n 239, 'te': 12576, 'tf': 165, 'tg': 186, 'th': 20347, 'ti': 8367, 'tj': \n 321, 'tk': 178, 'tl': 273, 'tm': 289, 'tn': 269, 'to': 11512, 'tp': 227,\n 'tq': 90, 'tr': 12301, 'ts': 469, 'tt': 280, 'tu': 3572, 'tv': 534,\n 'tw': 2193, 'tx': 266, 'ty': 1588, 'tz': 175, 'u-': 119, 'u0': 3, 'u1':\n 15, 'u2': 21, 'u3': 9, 'u4': 3, 'u5': 3, 'u6': 3, 'u7': 2, 'u8': 11,\n 'u9': 5, 'ua': 258, 'ub': 352, 'uc': 350, 'ud': 179, 'ue': 138, 'uf': \n 188, 'ug': 891, 'uh': 194, 'ui': 127, 'uj': 66, 'uk': 422, 'ul': 536,\n 'um': 326, 'un': 3354, 'uo': 106, 'up': 2718, 'uq': 59, 'ur': 923, 'us':\n 6826, 'ut': 474, 'uu': 108, 'uv': 172, 'uw': 165, 'ux': 93, 'uy': 107,\n 'uz': 97, 'v-': 87, 'v0': 3, 'v1': 8, 'v2': 11, 'v3': 20, 'v4': 8, 'v5':\n 4, 'v6': 14, 'v7': 2, 'v8': 9, 'v9': 2, 'va': 5048, 'vb': 168, 'vc': \n 200, 'vd': 140, 've': 2797, 'vf': 111, 'vg': 120, 'vh': 121, 'vi': 8878,\n 'vj': 91, 'vk': 117, 'vl': 172, 'vm': 152, 'vn': 149, 'vo': 2303, 'vp':\n 172, 'vq': 76, 'vr': 232, 'vs': 192, 'vt': 174, 'vu': 214, 'vv': 139,\n 'vw': 105, 'vx': 101, 'vy': 119, 'vz': 97, 'w-': 49, 'w0': 9, 'w1': 15,\n 'w2': 10, 'w3': 49, 'w4': 11, 'w5': 5, 'w6': 2, 'w7': 5, 'w8': 16, 'w9':\n 7, 'wa': 13399, 'wb': 160, 'wc': 178, 'wd': 138, 'we': 10270, 'wf': 145,\n 'wg': 135, 'wh': 7676, 'wi': 8165, 'wj': 154, 'wk': 103, 'wl': 169,\n 'wm': 219, 'wn': 137, 'wo': 4635, 'wp': 199, 'wq': 78, 'wr': 578, 'ws':\n 246, 'wt': 170, 'wu': 306, 'wv': 136, 'ww': 2494, 'wx': 193, 'wy': 274,\n 'wz': 183, 'x-': 157, 'x0': 8, 'x1': 15, 'x2': 61, 'x3': 15, 'x4': 2,\n 'x5': 8, 'x6': 12, 'x7': 3, 'x8': 5, 'x9': 3, 'xa': 329, 'xb': 191,\n 'xc': 220, 'xd': 145, 'xe': 282, 'xf': 158, 'xg': 136, 'xh': 144, 'xi':\n 794, 'xj': 208, 'xk': 79, 'xl': 180, 'xm': 285, 'xn': 107, 'xo': 163,\n 'xp': 292, 'xq': 82, 'xr': 126, 'xs': 195, 'xt': 344, 'xu': 208, 'xv': \n 78, 'xw': 84, 'xx': 552, 'xy': 237, 'xz': 171, 'y-': 45, 'y0': 5, 'y1':\n 6, 'y2': 13, 'y3': 2, 'y5': 5, 'y6': 4, 'y7': 4, 'y8': 3, 'y9': 4, 'ya':\n 1485, 'yb': 102, 'yc': 195, 'yd': 137, 'ye': 2320, 'yf': 106, 'yg': 116,\n 'yh': 159, 'yi': 568, 'yj': 136, 'yk': 131, 'yl': 168, 'ym': 174, 'yn':\n 217, 'yo': 4580, 'yp': 214, 'yq': 89, 'yr': 98, 'ys': 233, 'yt': 248,\n 'yu': 779, 'yv': 101, 'yw': 155, 'yx': 142, 'yy': 176, 'yz': 169, 'z-':\n 40, 'z0': 4, 'z1': 6, 'z2': 6, 'z3': 5, 'z4': 1, 'z5': 4, 'z7': 2, 'z8':\n 1, 'z9': 3, 'za': 920, 'zb': 144, 'zc': 129, 'zd': 141, 'ze': 1083,\n 'zf': 95, 'zg': 277, 'zh': 651, 'zi': 676, 'zj': 315, 'zk': 102, 'zl': \n 176, 'zm': 120, 'zn': 117, 'zo': 741, 'zp': 107, 'zq': 131, 'zr': 148,\n 'zs': 167, 'zt': 102, 'zu': 336, 'zv': 70, 'zw': 126, 'zx': 108, 'zy': \n 171, 'zz': 266}\n",
"step-3": "TOTAL = 1306336\n\nONE = {\n'0': 1473,\n'1': 5936,\n'2': 3681,\n'3': 2996,\n'4': 2480,\n'5': 2494,\n'6': 1324,\n'7': 1474,\n'8': 1754,\n'9': 1740,\n'a': 79714,\n'b': 83472,\n'c': 78015,\n'd': 61702,\n'e': 42190,\n'f': 68530,\n'g': 48942,\n'h': 63661,\n'i': 34947,\n'j': 24312,\n'k': 26724,\n'l': 66351,\n'm': 77245,\n'n': 36942,\n'o': 40744,\n'p': 68978,\n'q': 6750,\n'r': 49135,\n's': 116034,\n't': 87440,\n'u': 19423,\n'v': 22356,\n'w': 50718,\n'x': 6079,\n'y': 13089,\n'z': 7491,\n}\n\nTWO = {\n'0-': 19,\n'00': 145,\n'01': 143,\n'02': 212,\n'03': 90,\n'04': 61,\n'05': 241,\n'06': 31,\n'07': 151,\n'08': 104,\n'09': 99,\n'0a': 8,\n'0b': 8,\n'0c': 16,\n'0d': 18,\n'0e': 8,\n'0f': 7,\n'0g': 5,\n'0h': 4,\n'0i': 9,\n'0j': 1,\n'0k': 4,\n'0l': 2,\n'0m': 8,\n'0n': 10,\n'0o': 6,\n'0p': 10,\n'0r': 10,\n'0s': 10,\n'0t': 6,\n'0u': 5,\n'0v': 5,\n'0w': 5,\n'0x': 4,\n'0y': 3,\n'0z': 5,\n'1-': 177,\n'10': 983,\n'11': 537,\n'12': 767,\n'13': 327,\n'14': 270,\n'15': 257,\n'16': 276,\n'17': 318,\n'18': 505,\n'19': 280,\n'1a': 61,\n'1b': 58,\n'1c': 84,\n'1d': 52,\n'1e': 33,\n'1f': 32,\n'1g': 38,\n'1h': 44,\n'1i': 25,\n'1j': 13,\n'1k': 32,\n'1l': 33,\n'1m': 59,\n'1n': 39,\n'1o': 37,\n'1p': 68,\n'1q': 7,\n'1r': 21,\n'1s': 336,\n'1t': 54,\n'1u': 15,\n'1v': 14,\n'1w': 53,\n'1x': 7,\n'1y': 14,\n'1z': 10,\n'2-': 30,\n'20': 889,\n'21': 406,\n'22': 228,\n'23': 172,\n'24': 480,\n'25': 177,\n'26': 126,\n'27': 96,\n'28': 108,\n'29': 73,\n'2a': 50,\n'2b': 94,\n'2c': 59,\n'2d': 61,\n'2e': 29,\n'2f': 29,\n'2g': 47,\n'2h': 24,\n'2i': 22,\n'2j': 13,\n'2k': 27,\n'2l': 35,\n'2m': 62,\n'2n': 53,\n'2o': 22,\n'2p': 48,\n'2q': 7,\n'2r': 14,\n'2s': 53,\n'2t': 43,\n'2u': 20,\n'2v': 7,\n'2w': 43,\n'2x': 21,\n'2y': 7,\n'2z': 6,\n'3-': 53,\n'30': 292,\n'31': 224,\n'32': 188,\n'33': 179,\n'34': 91,\n'35': 153,\n'36': 367,\n'37': 101,\n'38': 122,\n'39': 118,\n'3a': 50,\n'3b': 45,\n'3c': 37,\n'3d': 350,\n'3e': 17,\n'3f': 26,\n'3g': 125,\n'3h': 27,\n'3i': 11,\n'3j': 9,\n'3k': 19,\n'3l': 25,\n'3m': 45,\n'3n': 17,\n'3o': 15,\n'3p': 32,\n'3q': 12,\n'3r': 72,\n'3s': 53,\n'3t': 28,\n'3u': 3,\n'3v': 13,\n'3w': 36,\n'3x': 17,\n'3y': 14,\n'3z': 10,\n'4-': 76,\n'40': 357,\n'41': 259,\n'42': 170,\n'43': 88,\n'44': 126,\n'45': 102,\n'46': 67,\n'47': 56,\n'48': 97,\n'49': 62,\n'4a': 41,\n'4b': 49,\n'4c': 55,\n'4d': 53,\n'4e': 51,\n'4f': 43,\n'4g': 52,\n'4h': 44,\n'4i': 19,\n'4j': 13,\n'4k': 22,\n'4l': 48,\n'4m': 62,\n'4n': 22,\n'4o': 21,\n'4p': 60,\n'4q': 11,\n'4r': 26,\n'4s': 94,\n'4t': 44,\n'4u': 40,\n'4v': 17,\n'4w': 45,\n'4x': 58,\n'4y': 24,\n'4z': 6,\n'5-': 30,\n'50': 323,\n'51': 574,\n'52': 361,\n'53': 79,\n'54': 155,\n'55': 141,\n'56': 109,\n'57': 66,\n'58': 85,\n'59': 87,\n'5a': 32,\n'5b': 17,\n'5c': 21,\n'5d': 39,\n'5e': 7,\n'5f': 17,\n'5g': 21,\n'5h': 10,\n'5i': 54,\n'5j': 4,\n'5k': 16,\n'5l': 19,\n'5m': 22,\n'5n': 8,\n'5o': 12,\n'5p': 27,\n'5q': 4,\n'5r': 9,\n'5s': 55,\n'5t': 38,\n'5u': 17,\n'5v': 5,\n'5w': 5,\n'5x': 9,\n'5y': 10,\n'5z': 6,\n'6-': 42,\n'60': 173,\n'61': 182,\n'62': 63,\n'63': 56,\n'64': 51,\n'65': 125,\n'66': 134,\n'67': 62,\n'68': 58,\n'69': 105,\n'6a': 12,\n'6b': 7,\n'6c': 11,\n'6d': 61,\n'6e': 6,\n'6f': 15,\n'6g': 7,\n'6h': 11,\n'6i': 6,\n'6j': 1,\n'6k': 7,\n'6l': 8,\n'6m': 16,\n'6n': 1,\n'6o': 5,\n'6p': 12,\n'6q': 6,\n'6r': 15,\n'6s': 28,\n'6t': 12,\n'6u': 2,\n'6v': 2,\n'6w': 8,\n'6x': 5,\n'6y': 9,\n'7-': 34,\n'70': 200,\n'71': 205,\n'72': 81,\n'73': 58,\n'74': 53,\n'75': 59,\n'76': 69,\n'77': 191,\n'78': 92,\n'79': 48,\n'7a': 33,\n'7b': 18,\n'7c': 28,\n'7d': 31,\n'7e': 13,\n'7f': 15,\n'7g': 11,\n'7h': 15,\n'7i': 7,\n'7j': 8,\n'7k': 16,\n'7l': 19,\n'7m': 15,\n'7n': 5,\n'7o': 13,\n'7p': 10,\n'7q': 2,\n'7r': 4,\n'7s': 33,\n'7t': 37,\n'7u': 2,\n'7v': 3,\n'7w': 13,\n'7x': 13,\n'7y': 12,\n'7z': 8,\n'8-': 61,\n'80': 336,\n'81': 180,\n'82': 61,\n'83': 62,\n'84': 99,\n'85': 85,\n'86': 138,\n'87': 85,\n'88': 339,\n'89': 78,\n'8a': 11,\n'8b': 16,\n'8c': 9,\n'8d': 10,\n'8e': 6,\n'8f': 10,\n'8g': 18,\n'8h': 7,\n'8i': 12,\n'8j': 4,\n'8k': 6,\n'8l': 6,\n'8m': 11,\n'8n': 2,\n'8o': 8,\n'8p': 15,\n'8q': 7,\n'8r': 10,\n'8s': 18,\n'8t': 24,\n'8u': 3,\n'8v': 2,\n'8w': 4,\n'8x': 1,\n'8y': 6,\n'8z': 4,\n'9-': 45,\n'90': 173,\n'91': 275,\n'92': 149,\n'93': 59,\n'94': 76,\n'95': 82,\n'96': 76,\n'97': 123,\n'98': 74,\n'99': 270,\n'9a': 19,\n'9b': 9,\n'9c': 22,\n'9d': 17,\n'9e': 10,\n'9f': 5,\n'9g': 16,\n'9h': 6,\n'9i': 20,\n'9j': 10,\n'9k': 9,\n'9l': 13,\n'9m': 19,\n'9n': 8,\n'9o': 8,\n'9p': 29,\n'9q': 3,\n'9r': 11,\n'9s': 22,\n'9t': 26,\n'9u': 3,\n'9v': 8,\n'9w': 11,\n'9x': 21,\n'9y': 8,\n'9z': 5,\n'a-': 307,\n'a0': 6,\n'a1': 172,\n'a2': 58,\n'a3': 25,\n'a4': 16,\n'a5': 9,\n'a6': 8,\n'a7': 20,\n'a8': 12,\n'a9': 15,\n'aa': 778,\n'ab': 3124,\n'ac': 4416,\n'ad': 5316,\n'ae': 537,\n'af': 1343,\n'ag': 4563,\n'ah': 760,\n'ai': 5617,\n'aj': 331,\n'ak': 715,\n'al': 9102,\n'am': 4388,\n'an': 8462,\n'ao': 351,\n'ap': 2155,\n'aq': 426,\n'ar': 9178,\n'as': 6419,\n'at': 4007,\n'au': 2485,\n'av': 1218,\n'aw': 1869,\n'ax': 403,\n'ay': 457,\n'az': 646,\n'b-': 148,\n'b0': 7,\n'b1': 19,\n'b2': 94,\n'b3': 12,\n'b4': 24,\n'b5': 9,\n'b6': 4,\n'b7': 5,\n'b8': 2,\n'b9': 6,\n'ba': 15356,\n'bb': 477,\n'bc': 323,\n'bd': 266,\n'be': 14064,\n'bf': 200,\n'bg': 189,\n'bh': 311,\n'bi': 11911,\n'bj': 604,\n'bk': 178,\n'bl': 5297,\n'bm': 306,\n'bn': 218,\n'bo': 11986,\n'bp': 229,\n'bq': 103,\n'br': 5001,\n'bs': 317,\n'bt': 266,\n'bu': 12643,\n'bv': 126,\n'bw': 147,\n'bx': 91,\n'by': 2394,\n'bz': 139,\n'c-': 120,\n'c0': 13,\n'c1': 21,\n'c2': 78,\n'c3': 34,\n'c4': 30,\n'c5': 6,\n'c6': 4,\n'c7': 10,\n'c8': 4,\n'c9': 8,\n'ca': 18400,\n'cb': 368,\n'cc': 678,\n'cd': 484,\n'ce': 3579,\n'cf': 300,\n'cg': 253,\n'ch': 11318,\n'ci': 2463,\n'cj': 218,\n'ck': 165,\n'cl': 5881,\n'cm': 371,\n'cn': 895,\n'co': 15790,\n'cp': 497,\n'cq': 239,\n'cr': 5502,\n'cs': 1710,\n'ct': 364,\n'cu': 6370,\n'cv': 200,\n'cw': 201,\n'cx': 142,\n'cy': 1053,\n'cz': 246,\n'd-': 147,\n'd0': 7,\n'd1': 14,\n'd2': 37,\n'd3': 29,\n'd4': 10,\n'd5': 5,\n'd6': 4,\n'd7': 8,\n'd8': 6,\n'd9': 7,\n'da': 9910,\n'db': 288,\n'dc': 410,\n'dd': 303,\n'de': 11362,\n'df': 288,\n'dg': 307,\n'dh': 280,\n'di': 10934,\n'dj': 682,\n'dk': 157,\n'dl': 393,\n'dm': 361,\n'dn': 476,\n'do': 10944,\n'dp': 211,\n'dq': 106,\n'dr': 6965,\n'ds': 393,\n'dt': 262,\n'du': 4853,\n'dv': 376,\n'dw': 211,\n'dx': 157,\n'dy': 630,\n'dz': 169,\n'e-': 1066,\n'e0': 9,\n'e1': 12,\n'e2': 26,\n'e3': 27,\n'e4': 11,\n'e5': 2,\n'e6': 6,\n'e7': 6,\n'e8': 37,\n'e9': 5,\n'ea': 6784,\n'eb': 771,\n'ec': 1530,\n'ed': 2674,\n'ee': 257,\n'ef': 482,\n'eg': 508,\n'eh': 276,\n'ei': 552,\n'ej': 151,\n'ek': 329,\n'el': 3657,\n'em': 1785,\n'en': 4879,\n'eo': 205,\n'ep': 613,\n'eq': 553,\n'er': 2767,\n'es': 1797,\n'et': 766,\n'eu': 1095,\n'ev': 2975,\n'ew': 218,\n'ex': 2521,\n'ey': 2066,\n'ez': 772,\n'f-': 75,\n'f0': 6,\n'f1': 54,\n'f2': 25,\n'f3': 5,\n'f4': 9,\n'f5': 12,\n'f6': 2,\n'f7': 4,\n'f8': 10,\n'f9': 2,\n'fa': 12917,\n'fb': 165,\n'fc': 272,\n'fd': 154,\n'fe': 8514,\n'ff': 195,\n'fg': 107,\n'fh': 175,\n'fi': 14464,\n'fj': 192,\n'fk': 90,\n'fl': 7482,\n'fm': 210,\n'fn': 114,\n'fo': 8864,\n'fp': 132,\n'fq': 77,\n'fr': 7566,\n'fs': 413,\n'ft': 252,\n'fu': 5259,\n'fv': 88,\n'fw': 129,\n'fx': 197,\n'fy': 155,\n'fz': 143,\n'g-': 138,\n'g0': 21,\n'g1': 38,\n'g2': 26,\n'g3': 34,\n'g4': 26,\n'g5': 11,\n'g6': 5,\n'g7': 5,\n'g8': 15,\n'g9': 5,\n'ga': 8708,\n'gb': 232,\n'gc': 262,\n'gd': 339,\n'ge': 5489,\n'gf': 176,\n'gg': 245,\n'gh': 399,\n'gi': 3752,\n'gj': 108,\n'gk': 138,\n'gl': 2606,\n'gm': 387,\n'gn': 217,\n'go': 9782,\n'gp': 455,\n'gq': 78,\n'gr': 8101,\n'gs': 381,\n'gt': 252,\n'gu': 5335,\n'gv': 138,\n'gw': 202,\n'gx': 176,\n'gy': 265,\n'gz': 395,\n'h-': 120,\n'h0': 6,\n'h1': 14,\n'h2': 149,\n'h3': 15,\n'h4': 28,\n'h5': 6,\n'h6': 3,\n'h7': 2,\n'h8': 8,\n'h9': 2,\n'ha': 16216,\n'hb': 351,\n'hc': 228,\n'hd': 442,\n'he': 12087,\n'hf': 180,\n'hg': 158,\n'hh': 243,\n'hi': 10582,\n'hj': 147,\n'hk': 331,\n'hl': 215,\n'hm': 214,\n'hn': 317,\n'ho': 14380,\n'hp': 207,\n'hq': 147,\n'hr': 318,\n'hs': 380,\n'ht': 314,\n'hu': 4226,\n'hv': 119,\n'hw': 147,\n'hx': 150,\n'hy': 943,\n'hz': 266,\n'i-': 527,\n'i0': 9,\n'i1': 8,\n'i2': 34,\n'i3': 14,\n'i4': 17,\n'i5': 4,\n'i6': 6,\n'i7': 12,\n'i8': 8,\n'i9': 11,\n'ia': 606,\n'ib': 659,\n'ic': 2175,\n'id': 1981,\n'ie': 282,\n'if': 1514,\n'ig': 488,\n'ih': 370,\n'ii': 226,\n'ij': 122,\n'ik': 351,\n'il': 2287,\n'im': 2155,\n'in': 10117,\n'io': 344,\n'ip': 818,\n'iq': 154,\n'ir': 1037,\n'is': 2803,\n'it': 4514,\n'iu': 135,\n'iv': 328,\n'iw': 391,\n'ix': 87,\n'iy': 123,\n'iz': 230,\n'j-': 143,\n'j0': 7,\n'j1': 2,\n'j2': 20,\n'j3': 8,\n'j4': 10,\n'j5': 1,\n'j6': 1,\n'j7': 2,\n'j8': 3,\n'j9': 2,\n'ja': 3167,\n'jb': 251,\n'jc': 336,\n'jd': 290,\n'je': 2239,\n'jf': 152,\n'jg': 136,\n'jh': 228,\n'ji': 1541,\n'jj': 266,\n'jk': 191,\n'jl': 249,\n'jm': 340,\n'jn': 230,\n'jo': 7930,\n'jp': 278,\n'jq': 82,\n'jr': 261,\n'js': 448,\n'jt': 174,\n'ju': 4460,\n'jv': 125,\n'jw': 191,\n'jx': 200,\n'jy': 202,\n'jz': 146,\n'k-': 110,\n'k0': 7,\n'k1': 29,\n'k2': 30,\n'k3': 14,\n'k4': 5,\n'k5': 7,\n'k6': 5,\n'k7': 7,\n'k8': 4,\n'k9': 32,\n'ka': 3724,\n'kb': 212,\n'kc': 275,\n'kd': 182,\n'ke': 6054,\n'kf': 130,\n'kg': 137,\n'kh': 420,\n'ki': 6316,\n'kj': 144,\n'kk': 167,\n'kl': 487,\n'km': 248,\n'kn': 2612,\n'ko': 1868,\n'kp': 181,\n'kq': 59,\n'kr': 785,\n'ks': 300,\n'kt': 192,\n'ku': 1013,\n'kv': 116,\n'kw': 230,\n'kx': 88,\n'ky': 444,\n'kz': 90,\n'l-': 45,\n'l0': 12,\n'l1': 8,\n'l2': 60,\n'l3': 18,\n'l4': 6,\n'l5': 2,\n'l6': 2,\n'l7': 14,\n'l8': 5,\n'l9': 3,\n'la': 14155,\n'lb': 350,\n'lc': 258,\n'ld': 192,\n'le': 13390,\n'lf': 172,\n'lg': 196,\n'lh': 179,\n'li': 13775,\n'lj': 185,\n'lk': 82,\n'll': 276,\n'lm': 185,\n'ln': 163,\n'lo': 17441,\n'lp': 192,\n'lq': 75,\n'lr': 137,\n'ls': 265,\n'lt': 197,\n'lu': 2947,\n'lv': 210,\n'lw': 133,\n'lx': 124,\n'ly': 761,\n'lz': 136,\n'm-': 162,\n'm0': 11,\n'm1': 26,\n'm2': 47,\n'm3': 32,\n'm4': 31,\n'm5': 8,\n'm6': 7,\n'm7': 6,\n'm8': 11,\n'm9': 4,\n'ma': 21517,\n'mb': 321,\n'mc': 856,\n'md': 322,\n'me': 12983,\n'mf': 160,\n'mg': 199,\n'mh': 180,\n'mi': 10847,\n'mj': 190,\n'mk': 192,\n'ml': 403,\n'mm': 572,\n'mn': 242,\n'mo': 11994,\n'mp': 473,\n'mq': 80,\n'mr': 773,\n'ms': 631,\n'mt': 424,\n'mu': 3947,\n'mv': 212,\n'mw': 145,\n'mx': 138,\n'my': 8975,\n'mz': 124,\n'n-': 85,\n'n0': 16,\n'n1': 16,\n'n2': 209,\n'n3': 6,\n'n4': 10,\n'n5': 3,\n'n6': 4,\n'n7': 6,\n'n8': 14,\n'n9': 2,\n'na': 5028,\n'nb': 379,\n'nc': 347,\n'nd': 186,\n'ne': 10656,\n'nf': 213,\n'ng': 232,\n'nh': 270,\n'ni': 3672,\n'nj': 370,\n'nk': 136,\n'nl': 174,\n'nm': 214,\n'nn': 176,\n'no': 10377,\n'np': 174,\n'nq': 65,\n'nr': 161,\n'ns': 248,\n'nt': 270,\n'nu': 1902,\n'nv': 175,\n'nw': 247,\n'nx': 119,\n'ny': 630,\n'nz': 150,\n'o-': 95,\n'o0': 2,\n'o1': 5,\n'o2': 28,\n'o3': 13,\n'o4': 2,\n'o5': 5,\n'o6': 2,\n'o7': 2,\n'o8': 4,\n'o9': 1,\n'oa': 322,\n'ob': 1267,\n'oc': 959,\n'od': 2152,\n'oe': 162,\n'of': 3428,\n'og': 208,\n'oh': 1587,\n'oi': 1494,\n'oj': 147,\n'ok': 724,\n'ol': 2309,\n'om': 1532,\n'on': 7256,\n'oo': 234,\n'op': 1673,\n'oq': 58,\n'or': 3282,\n'os': 555,\n'ot': 634,\n'ou': 4435,\n'ov': 944,\n'ow': 4377,\n'ox': 218,\n'oy': 187,\n'oz': 441,\n'p-': 86,\n'p0': 12,\n'p1': 19,\n'p2': 43,\n'p3': 24,\n'p4': 15,\n'p5': 8,\n'p6': 2,\n'p7': 2,\n'p8': 5,\n'p9': 5,\n'pa': 15758,\n'pb': 196,\n'pc': 606,\n'pd': 263,\n'pe': 6763,\n'pf': 189,\n'pg': 207,\n'ph': 2496,\n'pi': 7203,\n'pj': 148,\n'pk': 162,\n'pl': 7080,\n'pm': 258,\n'pn': 171,\n'po': 11038,\n'pp': 369,\n'pq': 91,\n'pr': 7474,\n'ps': 686,\n'pt': 286,\n'pu': 6557,\n'pv': 156,\n'pw': 142,\n'px': 98,\n'py': 246,\n'pz': 114,\n'q-': 38,\n'q0': 3,\n'q1': 8,\n'q2': 8,\n'q3': 6,\n'q4': 4,\n'q5': 3,\n'q6': 3,\n'q8': 44,\n'q9': 4,\n'qa': 220,\n'qb': 92,\n'qc': 118,\n'qd': 194,\n'qe': 117,\n'qf': 81,\n'qg': 84,\n'qh': 109,\n'qi': 391,\n'qj': 79,\n'qk': 73,\n'ql': 125,\n'qm': 82,\n'qn': 92,\n'qo': 114,\n'qp': 102,\n'qq': 248,\n'qr': 83,\n'qs': 131,\n'qt': 89,\n'qu': 3434,\n'qv': 65,\n'qw': 148,\n'qx': 97,\n'qy': 109,\n'qz': 152,\n'r-': 89,\n'r0': 7,\n'r1': 10,\n'r2': 26,\n'r3': 20,\n'r4': 17,\n'r5': 2,\n'r6': 2,\n'r7': 10,\n'r8': 1,\n'r9': 4,\n'ra': 9842,\n'rb': 211,\n'rc': 334,\n'rd': 204,\n're': 13653,\n'rf': 215,\n'rg': 139,\n'rh': 365,\n'ri': 7079,\n'rj': 156,\n'rk': 119,\n'rl': 150,\n'rm': 254,\n'rn': 173,\n'ro': 9275,\n'rp': 216,\n'rq': 46,\n'rr': 143,\n'rs': 333,\n'rt': 270,\n'ru': 4797,\n'rv': 182,\n'rw': 142,\n'rx': 199,\n'ry': 348,\n'rz': 102,\n's-': 122,\n's0': 6,\n's1': 26,\n's2': 33,\n's3': 27,\n's4': 19,\n's5': 10,\n's6': 12,\n's7': 19,\n's8': 12,\n's9': 6,\n'sa': 17038,\n'sb': 328,\n'sc': 3980,\n'sd': 603,\n'se': 18133,\n'sf': 356,\n'sg': 309,\n'sh': 12388,\n'si': 10761,\n'sj': 286,\n'sk': 1551,\n'sl': 2639,\n'sm': 2210,\n'sn': 818,\n'so': 11313,\n'sp': 6560,\n'sq': 323,\n'sr': 385,\n'ss': 497,\n'st': 11992,\n'su': 9496,\n'sv': 251,\n'sw': 1490,\n'sx': 289,\n'sy': 1044,\n'sz': 702,\n't-': 149,\n't0': 4,\n't1': 14,\n't2': 16,\n't3': 20,\n't4': 8,\n't5': 8,\n't6': 6,\n't7': 9,\n't8': 34,\n't9': 12,\n'ta': 10163,\n'tb': 227,\n'tc': 353,\n'td': 239,\n'te': 12576,\n'tf': 165,\n'tg': 186,\n'th': 20347,\n'ti': 8367,\n'tj': 321,\n'tk': 178,\n'tl': 273,\n'tm': 289,\n'tn': 269,\n'to': 11512,\n'tp': 227,\n'tq': 90,\n'tr': 12301,\n'ts': 469,\n'tt': 280,\n'tu': 3572,\n'tv': 534,\n'tw': 2193,\n'tx': 266,\n'ty': 1588,\n'tz': 175,\n'u-': 119,\n'u0': 3,\n'u1': 15,\n'u2': 21,\n'u3': 9,\n'u4': 3,\n'u5': 3,\n'u6': 3,\n'u7': 2,\n'u8': 11,\n'u9': 5,\n'ua': 258,\n'ub': 352,\n'uc': 350,\n'ud': 179,\n'ue': 138,\n'uf': 188,\n'ug': 891,\n'uh': 194,\n'ui': 127,\n'uj': 66,\n'uk': 422,\n'ul': 536,\n'um': 326,\n'un': 3354,\n'uo': 106,\n'up': 2718,\n'uq': 59,\n'ur': 923,\n'us': 6826,\n'ut': 474,\n'uu': 108,\n'uv': 172,\n'uw': 165,\n'ux': 93,\n'uy': 107,\n'uz': 97,\n'v-': 87,\n'v0': 3,\n'v1': 8,\n'v2': 11,\n'v3': 20,\n'v4': 8,\n'v5': 4,\n'v6': 14,\n'v7': 2,\n'v8': 9,\n'v9': 2,\n'va': 5048,\n'vb': 168,\n'vc': 200,\n'vd': 140,\n've': 2797,\n'vf': 111,\n'vg': 120,\n'vh': 121,\n'vi': 8878,\n'vj': 91,\n'vk': 117,\n'vl': 172,\n'vm': 152,\n'vn': 149,\n'vo': 2303,\n'vp': 172,\n'vq': 76,\n'vr': 232,\n'vs': 192,\n'vt': 174,\n'vu': 214,\n'vv': 139,\n'vw': 105,\n'vx': 101,\n'vy': 119,\n'vz': 97,\n'w-': 49,\n'w0': 9,\n'w1': 15,\n'w2': 10,\n'w3': 49,\n'w4': 11,\n'w5': 5,\n'w6': 2,\n'w7': 5,\n'w8': 16,\n'w9': 7,\n'wa': 13399,\n'wb': 160,\n'wc': 178,\n'wd': 138,\n'we': 10270,\n'wf': 145,\n'wg': 135,\n'wh': 7676,\n'wi': 8165,\n'wj': 154,\n'wk': 103,\n'wl': 169,\n'wm': 219,\n'wn': 137,\n'wo': 4635,\n'wp': 199,\n'wq': 78,\n'wr': 578,\n'ws': 246,\n'wt': 170,\n'wu': 306,\n'wv': 136,\n'ww': 2494,\n'wx': 193,\n'wy': 274,\n'wz': 183,\n'x-': 157,\n'x0': 8,\n'x1': 15,\n'x2': 61,\n'x3': 15,\n'x4': 2,\n'x5': 8,\n'x6': 12,\n'x7': 3,\n'x8': 5,\n'x9': 3,\n'xa': 329,\n'xb': 191,\n'xc': 220,\n'xd': 145,\n'xe': 282,\n'xf': 158,\n'xg': 136,\n'xh': 144,\n'xi': 794,\n'xj': 208,\n'xk': 79,\n'xl': 180,\n'xm': 285,\n'xn': 107,\n'xo': 163,\n'xp': 292,\n'xq': 82,\n'xr': 126,\n'xs': 195,\n'xt': 344,\n'xu': 208,\n'xv': 78,\n'xw': 84,\n'xx': 552,\n'xy': 237,\n'xz': 171,\n'y-': 45,\n'y0': 5,\n'y1': 6,\n'y2': 13,\n'y3': 2,\n'y5': 5,\n'y6': 4,\n'y7': 4,\n'y8': 3,\n'y9': 4,\n'ya': 1485,\n'yb': 102,\n'yc': 195,\n'yd': 137,\n'ye': 2320,\n'yf': 106,\n'yg': 116,\n'yh': 159,\n'yi': 568,\n'yj': 136,\n'yk': 131,\n'yl': 168,\n'ym': 174,\n'yn': 217,\n'yo': 4580,\n'yp': 214,\n'yq': 89,\n'yr': 98,\n'ys': 233,\n'yt': 248,\n'yu': 779,\n'yv': 101,\n'yw': 155,\n'yx': 142,\n'yy': 176,\n'yz': 169,\n'z-': 40,\n'z0': 4,\n'z1': 6,\n'z2': 6,\n'z3': 5,\n'z4': 1,\n'z5': 4,\n'z7': 2,\n'z8': 1,\n'z9': 3,\n'za': 920,\n'zb': 144,\n'zc': 129,\n'zd': 141,\n'ze': 1083,\n'zf': 95,\n'zg': 277,\n'zh': 651,\n'zi': 676,\n'zj': 315,\n'zk': 102,\n'zl': 176,\n'zm': 120,\n'zn': 117,\n'zo': 741,\n'zp': 107,\n'zq': 131,\n'zr': 148,\n'zs': 167,\n'zt': 102,\n'zu': 336,\n'zv': 70,\n'zw': 126,\n'zx': 108,\n'zy': 171,\n'zz': 266,\n}\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
}
|
[
0,
1,
2
] |
import signal
import time
import sdnotify
n = sdnotify.SystemdNotifier()
if __name__ == '__main__':
n.notify("READY=1")
time.sleep(2)
|
normal
|
{
"blob_id": "78dc2193c05ddb4cd4c80b1c0322890eca7fcf19",
"index": 789,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n n.notify('READY=1')\n time.sleep(2)\n",
"step-3": "<mask token>\nn = sdnotify.SystemdNotifier()\nif __name__ == '__main__':\n n.notify('READY=1')\n time.sleep(2)\n",
"step-4": "import signal\nimport time\nimport sdnotify\nn = sdnotify.SystemdNotifier()\nif __name__ == '__main__':\n n.notify('READY=1')\n time.sleep(2)\n",
"step-5": "import signal\nimport time\n\nimport sdnotify\n\nn = sdnotify.SystemdNotifier()\n\nif __name__ == '__main__':\n\n n.notify(\"READY=1\")\n time.sleep(2)\n\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class KaliteUI(object):
def __init__(self, kaliteApp):
dropdown = DropDown()
dropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=
None, size=(150, 40), font_size=18, color=(0.06, 0.6, 0.2, 1),
bold=True, background_color=(1, 1, 1, 0.2))
dropdown_btn.bind(on_release=dropdown.open)
self.root_layout = GridLayout(cols=1)
logo_holder = _BoxLayout(orientation='horizontal')
logo_img = Image(source='horizontal-logo.png', size_hint_x=None,
width=360)
logo_holder.padding = [10, 10, 10, 10]
logo_holder.add_widget(logo_img)
self.content_reload_btn = Button(text='Reload Content', size_hint_x
=None, size_hint_y=None, size=(150, 40), font_size=18, color=(1,
1, 1, 1), bold=True)
self.content_reload_btn.bind(on_press=kaliteApp.reload_content)
space_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': 0.8}
)
logo_holder.add_widget(space_holder)
buttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')
dropdown.add_widget(self.content_reload_btn)
logo_holder.add_widget(dropdown_btn)
logo_holder.spacing = [300, 0]
self.root_layout.add_widget(logo_holder)
self.img_holder = BoxLayout(orientation='vertical', size=(200, 200),
size_hint=(1, None))
self.img_holder.padding = [0, 80, 0, 10]
self.root_layout.add_widget(self.img_holder)
self.progress_bar = ProgressBar()
self.messages = BoxLayout(orientation='vertical')
self.root_layout.add_widget(self.messages)
self.root_layout.add_widget(buttons_holder)
self.root_layout.add_widget(self.progress_bar)
def disable_reload_bnt(self):
self.content_reload_btn.disabled = True
def get_root_Layout(self):
return self.root_layout
def add_messages(self, message):
self.messages.add_widget(message)
def remove_messages(self, message):
self.messages.remove_widget(message)
def add_loading_gif(self):
self.gif_img = Image(source='loading.zip', anim_delay=0.15)
self.img_holder.add_widget(self.gif_img)
def remove_loading_gif(self):
self.img_holder.remove_widget(self.gif_img)
def start_progress_bar(self, anim_value):
self.anim = Animation(value=anim_value, duration=3)
self.anim.start(self.progress_bar)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class _BoxLayout(BoxLayout):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class KaliteUI(object):
def __init__(self, kaliteApp):
dropdown = DropDown()
dropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=
None, size=(150, 40), font_size=18, color=(0.06, 0.6, 0.2, 1),
bold=True, background_color=(1, 1, 1, 0.2))
dropdown_btn.bind(on_release=dropdown.open)
self.root_layout = GridLayout(cols=1)
logo_holder = _BoxLayout(orientation='horizontal')
logo_img = Image(source='horizontal-logo.png', size_hint_x=None,
width=360)
logo_holder.padding = [10, 10, 10, 10]
logo_holder.add_widget(logo_img)
self.content_reload_btn = Button(text='Reload Content', size_hint_x
=None, size_hint_y=None, size=(150, 40), font_size=18, color=(1,
1, 1, 1), bold=True)
self.content_reload_btn.bind(on_press=kaliteApp.reload_content)
space_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': 0.8}
)
logo_holder.add_widget(space_holder)
buttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')
dropdown.add_widget(self.content_reload_btn)
logo_holder.add_widget(dropdown_btn)
logo_holder.spacing = [300, 0]
self.root_layout.add_widget(logo_holder)
self.img_holder = BoxLayout(orientation='vertical', size=(200, 200),
size_hint=(1, None))
self.img_holder.padding = [0, 80, 0, 10]
self.root_layout.add_widget(self.img_holder)
self.progress_bar = ProgressBar()
self.messages = BoxLayout(orientation='vertical')
self.root_layout.add_widget(self.messages)
self.root_layout.add_widget(buttons_holder)
self.root_layout.add_widget(self.progress_bar)
def disable_reload_bnt(self):
self.content_reload_btn.disabled = True
def get_root_Layout(self):
return self.root_layout
def add_messages(self, message):
self.messages.add_widget(message)
def remove_messages(self, message):
self.messages.remove_widget(message)
def add_loading_gif(self):
self.gif_img = Image(source='loading.zip', anim_delay=0.15)
self.img_holder.add_widget(self.gif_img)
def remove_loading_gif(self):
self.img_holder.remove_widget(self.gif_img)
def start_progress_bar(self, anim_value):
self.anim = Animation(value=anim_value, duration=3)
self.anim.start(self.progress_bar)
def animation_bind(self, bindFunction):
self.anim.bind(on_complete=bindFunction)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
Window.clearcolor = 1, 1, 1, 1
class _BoxLayout(BoxLayout):
def __init__(self, **kwargs):
super(_BoxLayout, self).__init__(**kwargs)
with self.canvas.before:
Color(0.878, 0.941, 0.784)
self.rect = Rectangle(size=self.size, pos=self.pos)
self.bind(size=self._update_rect, pos=self._update_rect)
def _update_rect(self, instance, value):
self.rect.pos = instance.pos
self.rect.size = instance.size
class KaliteUI(object):
def __init__(self, kaliteApp):
dropdown = DropDown()
dropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=
None, size=(150, 40), font_size=18, color=(0.06, 0.6, 0.2, 1),
bold=True, background_color=(1, 1, 1, 0.2))
dropdown_btn.bind(on_release=dropdown.open)
self.root_layout = GridLayout(cols=1)
logo_holder = _BoxLayout(orientation='horizontal')
logo_img = Image(source='horizontal-logo.png', size_hint_x=None,
width=360)
logo_holder.padding = [10, 10, 10, 10]
logo_holder.add_widget(logo_img)
self.content_reload_btn = Button(text='Reload Content', size_hint_x
=None, size_hint_y=None, size=(150, 40), font_size=18, color=(1,
1, 1, 1), bold=True)
self.content_reload_btn.bind(on_press=kaliteApp.reload_content)
space_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': 0.8}
)
logo_holder.add_widget(space_holder)
buttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')
dropdown.add_widget(self.content_reload_btn)
logo_holder.add_widget(dropdown_btn)
logo_holder.spacing = [300, 0]
self.root_layout.add_widget(logo_holder)
self.img_holder = BoxLayout(orientation='vertical', size=(200, 200),
size_hint=(1, None))
self.img_holder.padding = [0, 80, 0, 10]
self.root_layout.add_widget(self.img_holder)
self.progress_bar = ProgressBar()
self.messages = BoxLayout(orientation='vertical')
self.root_layout.add_widget(self.messages)
self.root_layout.add_widget(buttons_holder)
self.root_layout.add_widget(self.progress_bar)
def disable_reload_bnt(self):
self.content_reload_btn.disabled = True
def get_root_Layout(self):
return self.root_layout
def add_messages(self, message):
self.messages.add_widget(message)
def remove_messages(self, message):
self.messages.remove_widget(message)
def add_loading_gif(self):
self.gif_img = Image(source='loading.zip', anim_delay=0.15)
self.img_holder.add_widget(self.gif_img)
def remove_loading_gif(self):
self.img_holder.remove_widget(self.gif_img)
def start_progress_bar(self, anim_value):
self.anim = Animation(value=anim_value, duration=3)
self.anim.start(self.progress_bar)
def animation_bind(self, bindFunction):
self.anim.bind(on_complete=bindFunction)
<|reserved_special_token_1|>
from kivy.uix.progressbar import ProgressBar
from kivy.animation import Animation
from kivy.uix.textinput import TextInput
from kivy.uix.button import Button
from kivy.uix.image import Image
from kivy.graphics import Color, Rectangle
from kivy.core.window import Window
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.anchorlayout import AnchorLayout
from kivy.uix.gridlayout import GridLayout
from kivy.core.window import Window
from kivy.uix.dropdown import DropDown
Window.clearcolor = 1, 1, 1, 1
class _BoxLayout(BoxLayout):
def __init__(self, **kwargs):
super(_BoxLayout, self).__init__(**kwargs)
with self.canvas.before:
Color(0.878, 0.941, 0.784)
self.rect = Rectangle(size=self.size, pos=self.pos)
self.bind(size=self._update_rect, pos=self._update_rect)
def _update_rect(self, instance, value):
self.rect.pos = instance.pos
self.rect.size = instance.size
class KaliteUI(object):
def __init__(self, kaliteApp):
dropdown = DropDown()
dropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=
None, size=(150, 40), font_size=18, color=(0.06, 0.6, 0.2, 1),
bold=True, background_color=(1, 1, 1, 0.2))
dropdown_btn.bind(on_release=dropdown.open)
self.root_layout = GridLayout(cols=1)
logo_holder = _BoxLayout(orientation='horizontal')
logo_img = Image(source='horizontal-logo.png', size_hint_x=None,
width=360)
logo_holder.padding = [10, 10, 10, 10]
logo_holder.add_widget(logo_img)
self.content_reload_btn = Button(text='Reload Content', size_hint_x
=None, size_hint_y=None, size=(150, 40), font_size=18, color=(1,
1, 1, 1), bold=True)
self.content_reload_btn.bind(on_press=kaliteApp.reload_content)
space_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': 0.8}
)
logo_holder.add_widget(space_holder)
buttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')
dropdown.add_widget(self.content_reload_btn)
logo_holder.add_widget(dropdown_btn)
logo_holder.spacing = [300, 0]
self.root_layout.add_widget(logo_holder)
self.img_holder = BoxLayout(orientation='vertical', size=(200, 200),
size_hint=(1, None))
self.img_holder.padding = [0, 80, 0, 10]
self.root_layout.add_widget(self.img_holder)
self.progress_bar = ProgressBar()
self.messages = BoxLayout(orientation='vertical')
self.root_layout.add_widget(self.messages)
self.root_layout.add_widget(buttons_holder)
self.root_layout.add_widget(self.progress_bar)
def disable_reload_bnt(self):
self.content_reload_btn.disabled = True
def get_root_Layout(self):
return self.root_layout
def add_messages(self, message):
self.messages.add_widget(message)
def remove_messages(self, message):
self.messages.remove_widget(message)
def add_loading_gif(self):
self.gif_img = Image(source='loading.zip', anim_delay=0.15)
self.img_holder.add_widget(self.gif_img)
def remove_loading_gif(self):
self.img_holder.remove_widget(self.gif_img)
def start_progress_bar(self, anim_value):
self.anim = Animation(value=anim_value, duration=3)
self.anim.start(self.progress_bar)
def animation_bind(self, bindFunction):
self.anim.bind(on_complete=bindFunction)
<|reserved_special_token_1|>
from kivy.uix.progressbar import ProgressBar
from kivy.animation import Animation
from kivy.uix.textinput import TextInput
from kivy.uix.button import Button
from kivy.uix.image import Image
from kivy.graphics import Color, Rectangle
from kivy.core.window import Window
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.anchorlayout import AnchorLayout
from kivy.uix.gridlayout import GridLayout
from kivy.core.window import Window
from kivy.uix.dropdown import DropDown
Window.clearcolor = (1, 1, 1, 1)
class _BoxLayout(BoxLayout):
def __init__(self, **kwargs):
super(_BoxLayout, self).__init__(**kwargs)
with self.canvas.before:
Color(0.878, 0.941, 0.784)
self.rect = Rectangle(size=self.size, pos=self.pos)
self.bind(size=self._update_rect, pos=self._update_rect)
def _update_rect(self, instance, value):
self.rect.pos = instance.pos
self.rect.size = instance.size
class KaliteUI(object):
def __init__(self, kaliteApp):
dropdown = DropDown()
dropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=None, size=(150, 40), font_size=18
, color=(.06, .6, .2, 1), bold=True, background_color=(1, 1, 1, 0.2))
dropdown_btn.bind(on_release=dropdown.open)
self.root_layout = GridLayout(cols=1)
logo_holder = _BoxLayout(orientation='horizontal')
logo_img = Image(source='horizontal-logo.png', size_hint_x=None, width=360)
logo_holder.padding = [10,10,10,10]
logo_holder.add_widget(logo_img)
self.content_reload_btn= Button(text='Reload Content', size_hint_x=None, size_hint_y=None, size=(150, 40), font_size=18
, color=(1, 1, 1, 1), bold=True)
self.content_reload_btn.bind(on_press=kaliteApp.reload_content)
space_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': .8})
logo_holder.add_widget(space_holder)
buttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')
dropdown.add_widget(self.content_reload_btn)
logo_holder.add_widget(dropdown_btn)
logo_holder.spacing = [300, 0]
self.root_layout.add_widget(logo_holder)
self.img_holder = BoxLayout(orientation='vertical', size=(200,200), size_hint=(1, None))
self.img_holder.padding = [0,80,0,10]
self.root_layout.add_widget(self.img_holder)
self.progress_bar = ProgressBar()
self.messages = BoxLayout(orientation='vertical')
self.root_layout.add_widget(self.messages)
self.root_layout.add_widget(buttons_holder)
self.root_layout.add_widget(self.progress_bar)
def disable_reload_bnt(self):
self.content_reload_btn.disabled = True
def get_root_Layout(self):
return self.root_layout
def add_messages(self, message):
self.messages.add_widget(message)
def remove_messages(self, message):
self.messages.remove_widget(message)
def add_loading_gif(self):
self.gif_img = Image(source='loading.zip', anim_delay = 0.15)
self.img_holder.add_widget(self.gif_img)
def remove_loading_gif(self):
self.img_holder.remove_widget(self.gif_img)
def start_progress_bar(self, anim_value):
self.anim = Animation(value = anim_value, duration = 3)
self.anim.start(self.progress_bar)
def animation_bind(self, bindFunction):
self.anim.bind(on_complete = bindFunction)
|
flexible
|
{
"blob_id": "35cd1c45294b826784eab9885ec5b0132624c957",
"index": 4028,
"step-1": "<mask token>\n\n\nclass KaliteUI(object):\n\n def __init__(self, kaliteApp):\n dropdown = DropDown()\n dropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=\n None, size=(150, 40), font_size=18, color=(0.06, 0.6, 0.2, 1),\n bold=True, background_color=(1, 1, 1, 0.2))\n dropdown_btn.bind(on_release=dropdown.open)\n self.root_layout = GridLayout(cols=1)\n logo_holder = _BoxLayout(orientation='horizontal')\n logo_img = Image(source='horizontal-logo.png', size_hint_x=None,\n width=360)\n logo_holder.padding = [10, 10, 10, 10]\n logo_holder.add_widget(logo_img)\n self.content_reload_btn = Button(text='Reload Content', size_hint_x\n =None, size_hint_y=None, size=(150, 40), font_size=18, color=(1,\n 1, 1, 1), bold=True)\n self.content_reload_btn.bind(on_press=kaliteApp.reload_content)\n space_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': 0.8}\n )\n logo_holder.add_widget(space_holder)\n buttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')\n dropdown.add_widget(self.content_reload_btn)\n logo_holder.add_widget(dropdown_btn)\n logo_holder.spacing = [300, 0]\n self.root_layout.add_widget(logo_holder)\n self.img_holder = BoxLayout(orientation='vertical', size=(200, 200),\n size_hint=(1, None))\n self.img_holder.padding = [0, 80, 0, 10]\n self.root_layout.add_widget(self.img_holder)\n self.progress_bar = ProgressBar()\n self.messages = BoxLayout(orientation='vertical')\n self.root_layout.add_widget(self.messages)\n self.root_layout.add_widget(buttons_holder)\n self.root_layout.add_widget(self.progress_bar)\n\n def disable_reload_bnt(self):\n self.content_reload_btn.disabled = True\n\n def get_root_Layout(self):\n return self.root_layout\n\n def add_messages(self, message):\n self.messages.add_widget(message)\n\n def remove_messages(self, message):\n self.messages.remove_widget(message)\n\n def add_loading_gif(self):\n self.gif_img = Image(source='loading.zip', anim_delay=0.15)\n self.img_holder.add_widget(self.gif_img)\n\n def remove_loading_gif(self):\n self.img_holder.remove_widget(self.gif_img)\n\n def start_progress_bar(self, anim_value):\n self.anim = Animation(value=anim_value, duration=3)\n self.anim.start(self.progress_bar)\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass _BoxLayout(BoxLayout):\n <mask token>\n <mask token>\n\n\nclass KaliteUI(object):\n\n def __init__(self, kaliteApp):\n dropdown = DropDown()\n dropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=\n None, size=(150, 40), font_size=18, color=(0.06, 0.6, 0.2, 1),\n bold=True, background_color=(1, 1, 1, 0.2))\n dropdown_btn.bind(on_release=dropdown.open)\n self.root_layout = GridLayout(cols=1)\n logo_holder = _BoxLayout(orientation='horizontal')\n logo_img = Image(source='horizontal-logo.png', size_hint_x=None,\n width=360)\n logo_holder.padding = [10, 10, 10, 10]\n logo_holder.add_widget(logo_img)\n self.content_reload_btn = Button(text='Reload Content', size_hint_x\n =None, size_hint_y=None, size=(150, 40), font_size=18, color=(1,\n 1, 1, 1), bold=True)\n self.content_reload_btn.bind(on_press=kaliteApp.reload_content)\n space_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': 0.8}\n )\n logo_holder.add_widget(space_holder)\n buttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')\n dropdown.add_widget(self.content_reload_btn)\n logo_holder.add_widget(dropdown_btn)\n logo_holder.spacing = [300, 0]\n self.root_layout.add_widget(logo_holder)\n self.img_holder = BoxLayout(orientation='vertical', size=(200, 200),\n size_hint=(1, None))\n self.img_holder.padding = [0, 80, 0, 10]\n self.root_layout.add_widget(self.img_holder)\n self.progress_bar = ProgressBar()\n self.messages = BoxLayout(orientation='vertical')\n self.root_layout.add_widget(self.messages)\n self.root_layout.add_widget(buttons_holder)\n self.root_layout.add_widget(self.progress_bar)\n\n def disable_reload_bnt(self):\n self.content_reload_btn.disabled = True\n\n def get_root_Layout(self):\n return self.root_layout\n\n def add_messages(self, message):\n self.messages.add_widget(message)\n\n def remove_messages(self, message):\n self.messages.remove_widget(message)\n\n def add_loading_gif(self):\n self.gif_img = Image(source='loading.zip', anim_delay=0.15)\n self.img_holder.add_widget(self.gif_img)\n\n def remove_loading_gif(self):\n self.img_holder.remove_widget(self.gif_img)\n\n def start_progress_bar(self, anim_value):\n self.anim = Animation(value=anim_value, duration=3)\n self.anim.start(self.progress_bar)\n\n def animation_bind(self, bindFunction):\n self.anim.bind(on_complete=bindFunction)\n",
"step-3": "<mask token>\nWindow.clearcolor = 1, 1, 1, 1\n\n\nclass _BoxLayout(BoxLayout):\n\n def __init__(self, **kwargs):\n super(_BoxLayout, self).__init__(**kwargs)\n with self.canvas.before:\n Color(0.878, 0.941, 0.784)\n self.rect = Rectangle(size=self.size, pos=self.pos)\n self.bind(size=self._update_rect, pos=self._update_rect)\n\n def _update_rect(self, instance, value):\n self.rect.pos = instance.pos\n self.rect.size = instance.size\n\n\nclass KaliteUI(object):\n\n def __init__(self, kaliteApp):\n dropdown = DropDown()\n dropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=\n None, size=(150, 40), font_size=18, color=(0.06, 0.6, 0.2, 1),\n bold=True, background_color=(1, 1, 1, 0.2))\n dropdown_btn.bind(on_release=dropdown.open)\n self.root_layout = GridLayout(cols=1)\n logo_holder = _BoxLayout(orientation='horizontal')\n logo_img = Image(source='horizontal-logo.png', size_hint_x=None,\n width=360)\n logo_holder.padding = [10, 10, 10, 10]\n logo_holder.add_widget(logo_img)\n self.content_reload_btn = Button(text='Reload Content', size_hint_x\n =None, size_hint_y=None, size=(150, 40), font_size=18, color=(1,\n 1, 1, 1), bold=True)\n self.content_reload_btn.bind(on_press=kaliteApp.reload_content)\n space_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': 0.8}\n )\n logo_holder.add_widget(space_holder)\n buttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')\n dropdown.add_widget(self.content_reload_btn)\n logo_holder.add_widget(dropdown_btn)\n logo_holder.spacing = [300, 0]\n self.root_layout.add_widget(logo_holder)\n self.img_holder = BoxLayout(orientation='vertical', size=(200, 200),\n size_hint=(1, None))\n self.img_holder.padding = [0, 80, 0, 10]\n self.root_layout.add_widget(self.img_holder)\n self.progress_bar = ProgressBar()\n self.messages = BoxLayout(orientation='vertical')\n self.root_layout.add_widget(self.messages)\n self.root_layout.add_widget(buttons_holder)\n self.root_layout.add_widget(self.progress_bar)\n\n def disable_reload_bnt(self):\n self.content_reload_btn.disabled = True\n\n def get_root_Layout(self):\n return self.root_layout\n\n def add_messages(self, message):\n self.messages.add_widget(message)\n\n def remove_messages(self, message):\n self.messages.remove_widget(message)\n\n def add_loading_gif(self):\n self.gif_img = Image(source='loading.zip', anim_delay=0.15)\n self.img_holder.add_widget(self.gif_img)\n\n def remove_loading_gif(self):\n self.img_holder.remove_widget(self.gif_img)\n\n def start_progress_bar(self, anim_value):\n self.anim = Animation(value=anim_value, duration=3)\n self.anim.start(self.progress_bar)\n\n def animation_bind(self, bindFunction):\n self.anim.bind(on_complete=bindFunction)\n",
"step-4": "from kivy.uix.progressbar import ProgressBar\nfrom kivy.animation import Animation\nfrom kivy.uix.textinput import TextInput\nfrom kivy.uix.button import Button\nfrom kivy.uix.image import Image\nfrom kivy.graphics import Color, Rectangle\nfrom kivy.core.window import Window\nfrom kivy.uix.boxlayout import BoxLayout\nfrom kivy.uix.anchorlayout import AnchorLayout\nfrom kivy.uix.gridlayout import GridLayout\nfrom kivy.core.window import Window\nfrom kivy.uix.dropdown import DropDown\nWindow.clearcolor = 1, 1, 1, 1\n\n\nclass _BoxLayout(BoxLayout):\n\n def __init__(self, **kwargs):\n super(_BoxLayout, self).__init__(**kwargs)\n with self.canvas.before:\n Color(0.878, 0.941, 0.784)\n self.rect = Rectangle(size=self.size, pos=self.pos)\n self.bind(size=self._update_rect, pos=self._update_rect)\n\n def _update_rect(self, instance, value):\n self.rect.pos = instance.pos\n self.rect.size = instance.size\n\n\nclass KaliteUI(object):\n\n def __init__(self, kaliteApp):\n dropdown = DropDown()\n dropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=\n None, size=(150, 40), font_size=18, color=(0.06, 0.6, 0.2, 1),\n bold=True, background_color=(1, 1, 1, 0.2))\n dropdown_btn.bind(on_release=dropdown.open)\n self.root_layout = GridLayout(cols=1)\n logo_holder = _BoxLayout(orientation='horizontal')\n logo_img = Image(source='horizontal-logo.png', size_hint_x=None,\n width=360)\n logo_holder.padding = [10, 10, 10, 10]\n logo_holder.add_widget(logo_img)\n self.content_reload_btn = Button(text='Reload Content', size_hint_x\n =None, size_hint_y=None, size=(150, 40), font_size=18, color=(1,\n 1, 1, 1), bold=True)\n self.content_reload_btn.bind(on_press=kaliteApp.reload_content)\n space_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': 0.8}\n )\n logo_holder.add_widget(space_holder)\n buttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')\n dropdown.add_widget(self.content_reload_btn)\n logo_holder.add_widget(dropdown_btn)\n logo_holder.spacing = [300, 0]\n self.root_layout.add_widget(logo_holder)\n self.img_holder = BoxLayout(orientation='vertical', size=(200, 200),\n size_hint=(1, None))\n self.img_holder.padding = [0, 80, 0, 10]\n self.root_layout.add_widget(self.img_holder)\n self.progress_bar = ProgressBar()\n self.messages = BoxLayout(orientation='vertical')\n self.root_layout.add_widget(self.messages)\n self.root_layout.add_widget(buttons_holder)\n self.root_layout.add_widget(self.progress_bar)\n\n def disable_reload_bnt(self):\n self.content_reload_btn.disabled = True\n\n def get_root_Layout(self):\n return self.root_layout\n\n def add_messages(self, message):\n self.messages.add_widget(message)\n\n def remove_messages(self, message):\n self.messages.remove_widget(message)\n\n def add_loading_gif(self):\n self.gif_img = Image(source='loading.zip', anim_delay=0.15)\n self.img_holder.add_widget(self.gif_img)\n\n def remove_loading_gif(self):\n self.img_holder.remove_widget(self.gif_img)\n\n def start_progress_bar(self, anim_value):\n self.anim = Animation(value=anim_value, duration=3)\n self.anim.start(self.progress_bar)\n\n def animation_bind(self, bindFunction):\n self.anim.bind(on_complete=bindFunction)\n",
"step-5": "from kivy.uix.progressbar import ProgressBar\nfrom kivy.animation import Animation\nfrom kivy.uix.textinput import TextInput\nfrom kivy.uix.button import Button\nfrom kivy.uix.image import Image\nfrom kivy.graphics import Color, Rectangle\nfrom kivy.core.window import Window\nfrom kivy.uix.boxlayout import BoxLayout\nfrom kivy.uix.anchorlayout import AnchorLayout\nfrom kivy.uix.gridlayout import GridLayout\nfrom kivy.core.window import Window\nfrom kivy.uix.dropdown import DropDown\nWindow.clearcolor = (1, 1, 1, 1)\n\nclass _BoxLayout(BoxLayout):\n\tdef __init__(self, **kwargs):\n\t\tsuper(_BoxLayout, self).__init__(**kwargs)\n\t\twith self.canvas.before:\n\t\t Color(0.878, 0.941, 0.784)\n\t\t self.rect = Rectangle(size=self.size, pos=self.pos)\n\t\tself.bind(size=self._update_rect, pos=self._update_rect)\n\n\tdef _update_rect(self, instance, value):\n\t\tself.rect.pos = instance.pos\n\t\tself.rect.size = instance.size\n\nclass KaliteUI(object):\n\tdef __init__(self, kaliteApp):\n\t\tdropdown = DropDown()\n\t\tdropdown_btn = Button(text='menu', size_hint_x=None, size_hint_y=None, size=(150, 40), font_size=18\n\t\t , color=(.06, .6, .2, 1), bold=True, background_color=(1, 1, 1, 0.2))\n\t\tdropdown_btn.bind(on_release=dropdown.open)\n\n\t\tself.root_layout = GridLayout(cols=1)\n\t\tlogo_holder = _BoxLayout(orientation='horizontal')\n\t\tlogo_img = Image(source='horizontal-logo.png', size_hint_x=None, width=360)\n\n\t\tlogo_holder.padding = [10,10,10,10]\n\t\tlogo_holder.add_widget(logo_img)\n\n\t\tself.content_reload_btn= Button(text='Reload Content', size_hint_x=None, size_hint_y=None, size=(150, 40), font_size=18\n\t\t , color=(1, 1, 1, 1), bold=True)\n\n\t\tself.content_reload_btn.bind(on_press=kaliteApp.reload_content)\n\t\tspace_holder = _BoxLayout(orientation='horizontal', pos_hint={'x': .8})\n\t\tlogo_holder.add_widget(space_holder)\n\n\t\tbuttons_holder = AnchorLayout(anchor_x='center', anchor_y='center')\n\n\t\tdropdown.add_widget(self.content_reload_btn)\n\t\tlogo_holder.add_widget(dropdown_btn)\n\t\tlogo_holder.spacing = [300, 0]\n\t\tself.root_layout.add_widget(logo_holder)\n\n\t\tself.img_holder = BoxLayout(orientation='vertical', size=(200,200), size_hint=(1, None))\n\t\tself.img_holder.padding = [0,80,0,10]\n\t\tself.root_layout.add_widget(self.img_holder)\n\n\t\tself.progress_bar = ProgressBar()\n\n\t\tself.messages = BoxLayout(orientation='vertical')\n\n\t\tself.root_layout.add_widget(self.messages)\n\t\tself.root_layout.add_widget(buttons_holder)\n\t\tself.root_layout.add_widget(self.progress_bar)\n\n\tdef disable_reload_bnt(self):\n\t\tself.content_reload_btn.disabled = True\n\n\tdef get_root_Layout(self):\n\t\treturn self.root_layout\n\n\tdef add_messages(self, message):\n\t\tself.messages.add_widget(message)\n\n\tdef remove_messages(self, message):\n\t\tself.messages.remove_widget(message)\n\n\tdef add_loading_gif(self):\n\t\tself.gif_img = Image(source='loading.zip', anim_delay = 0.15)\n\t\tself.img_holder.add_widget(self.gif_img)\n\n\tdef remove_loading_gif(self):\n\t\tself.img_holder.remove_widget(self.gif_img)\n\n\tdef start_progress_bar(self, anim_value):\n\t\tself.anim = Animation(value = anim_value, duration = 3)\n\t\tself.anim.start(self.progress_bar)\n\n\tdef animation_bind(self, bindFunction):\n\t\tself.anim.bind(on_complete = bindFunction)\n\n\n",
"step-ids": [
9,
11,
14,
15,
16
]
}
|
[
9,
11,
14,
15,
16
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get(url):
return requests.get(url).text
<|reserved_special_token_1|>
import requests
def get(url):
return requests.get(url).text
|
flexible
|
{
"blob_id": "671ecf23df1da659d186014afa738d0608ad404d",
"index": 9251,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get(url):\n return requests.get(url).text\n",
"step-3": "import requests\n\n\ndef get(url):\n return requests.get(url).text\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
}
|
[
0,
1,
2
] |
# Testing
import sys, os
sys.dont_write_bytecode = True
import argparse, socket
from requestframe import RequestFrame
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--header-mutate-level", type=int, choices=range(11), nargs='?', help="Set the mutation level for the headers (0-10). Default = 5", default=5)
parser.add_argument("--body-mutate-level", type=int, choices=range(11), nargs='?', help="Set the mutation level for the body (0-10). Default = 5", default=5)
parser.add_argument("--request-mutate-level", type=int, choices=range(11), nargs='?', help="Set the mutation level for the request line (0-10). Default = 5", default=5)
parser.add_argument("--body-type", type=str, choices=['json', 'junk', 'rand'], help="Set the data generated in the request body. Default = rand", default='rand')
parser.add_argument("--num-headers", type=int, help="Sets the maximum number of headers. Default = number of available headers", default=-1)
parser.add_argument("--generate-num", type=int, help="Number of requests to generate. Any more than 1 generated request will output to a new folder called output/. Default = 1", default=1)
parser.add_argument('-v', '--version', action='version', version='HTTPFuzz Version: 1.0.1')
args = parser.parse_args()
if args.generate_num > 1:
try:
os.mkdir("output")
for i in range(args.generate_num):
with open("output/{}.txt".format(i + 1), 'w') as f:
request_frame = RequestFrame(args)
request_frame.generate()
f.write(request_frame.request)
print("[+] Wrote request to /output/{}.txt".format(i + 1))
exit("[+] Finished creating requests")
except:
exit("[-] Couldn't make the output directory. It might already exist.")
request_frame = RequestFrame(args)
request_frame.generate()
exit(request_frame.request)
|
normal
|
{
"blob_id": "350a79d6cead6814ad48292b14a204e753dc938c",
"index": 4363,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nif __name__ == '__main__':\n parser = argparse.ArgumentParser()\n parser.add_argument('--header-mutate-level', type=int, choices=range(11\n ), nargs='?', help=\n 'Set the mutation level for the headers (0-10). Default = 5', default=5\n )\n parser.add_argument('--body-mutate-level', type=int, choices=range(11),\n nargs='?', help=\n 'Set the mutation level for the body (0-10). Default = 5', default=5)\n parser.add_argument('--request-mutate-level', type=int, choices=range(\n 11), nargs='?', help=\n 'Set the mutation level for the request line (0-10). Default = 5',\n default=5)\n parser.add_argument('--body-type', type=str, choices=['json', 'junk',\n 'rand'], help=\n 'Set the data generated in the request body. Default = rand',\n default='rand')\n parser.add_argument('--num-headers', type=int, help=\n 'Sets the maximum number of headers. Default = number of available headers'\n , default=-1)\n parser.add_argument('--generate-num', type=int, help=\n 'Number of requests to generate. Any more than 1 generated request will output to a new folder called output/. Default = 1'\n , default=1)\n parser.add_argument('-v', '--version', action='version', version=\n 'HTTPFuzz Version: 1.0.1')\n args = parser.parse_args()\n if args.generate_num > 1:\n try:\n os.mkdir('output')\n for i in range(args.generate_num):\n with open('output/{}.txt'.format(i + 1), 'w') as f:\n request_frame = RequestFrame(args)\n request_frame.generate()\n f.write(request_frame.request)\n print('[+] Wrote request to /output/{}.txt'.format(i + 1))\n exit('[+] Finished creating requests')\n except:\n exit(\n \"[-] Couldn't make the output directory. It might already exist.\"\n )\n request_frame = RequestFrame(args)\n request_frame.generate()\n exit(request_frame.request)\n",
"step-3": "<mask token>\nsys.dont_write_bytecode = True\n<mask token>\nif __name__ == '__main__':\n parser = argparse.ArgumentParser()\n parser.add_argument('--header-mutate-level', type=int, choices=range(11\n ), nargs='?', help=\n 'Set the mutation level for the headers (0-10). Default = 5', default=5\n )\n parser.add_argument('--body-mutate-level', type=int, choices=range(11),\n nargs='?', help=\n 'Set the mutation level for the body (0-10). Default = 5', default=5)\n parser.add_argument('--request-mutate-level', type=int, choices=range(\n 11), nargs='?', help=\n 'Set the mutation level for the request line (0-10). Default = 5',\n default=5)\n parser.add_argument('--body-type', type=str, choices=['json', 'junk',\n 'rand'], help=\n 'Set the data generated in the request body. Default = rand',\n default='rand')\n parser.add_argument('--num-headers', type=int, help=\n 'Sets the maximum number of headers. Default = number of available headers'\n , default=-1)\n parser.add_argument('--generate-num', type=int, help=\n 'Number of requests to generate. Any more than 1 generated request will output to a new folder called output/. Default = 1'\n , default=1)\n parser.add_argument('-v', '--version', action='version', version=\n 'HTTPFuzz Version: 1.0.1')\n args = parser.parse_args()\n if args.generate_num > 1:\n try:\n os.mkdir('output')\n for i in range(args.generate_num):\n with open('output/{}.txt'.format(i + 1), 'w') as f:\n request_frame = RequestFrame(args)\n request_frame.generate()\n f.write(request_frame.request)\n print('[+] Wrote request to /output/{}.txt'.format(i + 1))\n exit('[+] Finished creating requests')\n except:\n exit(\n \"[-] Couldn't make the output directory. It might already exist.\"\n )\n request_frame = RequestFrame(args)\n request_frame.generate()\n exit(request_frame.request)\n",
"step-4": "import sys, os\nsys.dont_write_bytecode = True\nimport argparse, socket\nfrom requestframe import RequestFrame\nif __name__ == '__main__':\n parser = argparse.ArgumentParser()\n parser.add_argument('--header-mutate-level', type=int, choices=range(11\n ), nargs='?', help=\n 'Set the mutation level for the headers (0-10). Default = 5', default=5\n )\n parser.add_argument('--body-mutate-level', type=int, choices=range(11),\n nargs='?', help=\n 'Set the mutation level for the body (0-10). Default = 5', default=5)\n parser.add_argument('--request-mutate-level', type=int, choices=range(\n 11), nargs='?', help=\n 'Set the mutation level for the request line (0-10). Default = 5',\n default=5)\n parser.add_argument('--body-type', type=str, choices=['json', 'junk',\n 'rand'], help=\n 'Set the data generated in the request body. Default = rand',\n default='rand')\n parser.add_argument('--num-headers', type=int, help=\n 'Sets the maximum number of headers. Default = number of available headers'\n , default=-1)\n parser.add_argument('--generate-num', type=int, help=\n 'Number of requests to generate. Any more than 1 generated request will output to a new folder called output/. Default = 1'\n , default=1)\n parser.add_argument('-v', '--version', action='version', version=\n 'HTTPFuzz Version: 1.0.1')\n args = parser.parse_args()\n if args.generate_num > 1:\n try:\n os.mkdir('output')\n for i in range(args.generate_num):\n with open('output/{}.txt'.format(i + 1), 'w') as f:\n request_frame = RequestFrame(args)\n request_frame.generate()\n f.write(request_frame.request)\n print('[+] Wrote request to /output/{}.txt'.format(i + 1))\n exit('[+] Finished creating requests')\n except:\n exit(\n \"[-] Couldn't make the output directory. It might already exist.\"\n )\n request_frame = RequestFrame(args)\n request_frame.generate()\n exit(request_frame.request)\n",
"step-5": "# Testing\nimport sys, os\nsys.dont_write_bytecode = True\n\nimport argparse, socket\nfrom requestframe import RequestFrame\n\nif __name__ == \"__main__\":\n parser = argparse.ArgumentParser()\n parser.add_argument(\"--header-mutate-level\", type=int, choices=range(11), nargs='?', help=\"Set the mutation level for the headers (0-10). Default = 5\", default=5)\n parser.add_argument(\"--body-mutate-level\", type=int, choices=range(11), nargs='?', help=\"Set the mutation level for the body (0-10). Default = 5\", default=5)\n parser.add_argument(\"--request-mutate-level\", type=int, choices=range(11), nargs='?', help=\"Set the mutation level for the request line (0-10). Default = 5\", default=5)\n parser.add_argument(\"--body-type\", type=str, choices=['json', 'junk', 'rand'], help=\"Set the data generated in the request body. Default = rand\", default='rand')\n parser.add_argument(\"--num-headers\", type=int, help=\"Sets the maximum number of headers. Default = number of available headers\", default=-1)\n parser.add_argument(\"--generate-num\", type=int, help=\"Number of requests to generate. Any more than 1 generated request will output to a new folder called output/. Default = 1\", default=1)\n parser.add_argument('-v', '--version', action='version', version='HTTPFuzz Version: 1.0.1')\n args = parser.parse_args()\n if args.generate_num > 1:\n try:\n os.mkdir(\"output\")\n for i in range(args.generate_num):\n with open(\"output/{}.txt\".format(i + 1), 'w') as f:\n request_frame = RequestFrame(args)\n request_frame.generate()\n f.write(request_frame.request)\n print(\"[+] Wrote request to /output/{}.txt\".format(i + 1))\n exit(\"[+] Finished creating requests\")\n except:\n exit(\"[-] Couldn't make the output directory. It might already exist.\")\n request_frame = RequestFrame(args)\n request_frame.generate()\n exit(request_frame.request)\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def main():
str1 = 'パトカー'
str2 = 'タクシー'
print(''.join([(x[0] + x[1]) for x in zip(str1, str2)]))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def question():
print('02. 「パトカー」＋「タクシー」＝「パタトクカシーー」')
print('「パトカー」＋「タクシー」の文字を先頭から交互に連結して文字列「パタトクカシーー」を得よ．')
def main():
str1 = 'パトカー'
str2 = 'タクシー'
print(''.join([(x[0] + x[1]) for x in zip(str1, str2)]))
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def question():
print('02. 「パトカー」＋「タクシー」＝「パタトクカシーー」')
print('「パトカー」＋「タクシー」の文字を先頭から交互に連結して文字列「パタトクカシーー」を得よ．')
def main():
str1 = 'パトカー'
str2 = 'タクシー'
print(''.join([(x[0] + x[1]) for x in zip(str1, str2)]))
if __name__ == '__main__':
question()
main()
<|reserved_special_token_1|>
#!/usr/bin/env python
def question():
print("02. 「パトカー」＋「タクシー」＝「パタトクカシーー」")
print("「パトカー」＋「タクシー」の文字を先頭から交互に連結して文字列「パタトクカシーー」を得よ．")
def main():
str1 = "パトカー"
str2 = "タクシー"
print(''.join([x[0] + x[1] for x in zip(str1, str2)]))
if __name__ == '__main__':
question()
main()
|
flexible
|
{
"blob_id": "32869a88bb59d47281249b6ebe2357328beb0359",
"index": 3572,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef main():\n str1 = 'パトカー'\n str2 = 'タクシー'\n print(''.join([(x[0] + x[1]) for x in zip(str1, str2)]))\n\n\n<mask token>\n",
"step-3": "def question():\n print('02. 「パトカー」＋「タクシー」＝「パタトクカシーー」')\n print('「パトカー」＋「タクシー」の文字を先頭から交互に連結して文字列「パタトクカシーー」を得よ．')\n\n\ndef main():\n str1 = 'パトカー'\n str2 = 'タクシー'\n print(''.join([(x[0] + x[1]) for x in zip(str1, str2)]))\n\n\n<mask token>\n",
"step-4": "def question():\n print('02. 「パトカー」＋「タクシー」＝「パタトクカシーー」')\n print('「パトカー」＋「タクシー」の文字を先頭から交互に連結して文字列「パタトクカシーー」を得よ．')\n\n\ndef main():\n str1 = 'パトカー'\n str2 = 'タクシー'\n print(''.join([(x[0] + x[1]) for x in zip(str1, str2)]))\n\n\nif __name__ == '__main__':\n question()\n main()\n",
"step-5": "#!/usr/bin/env python\n\ndef question():\n print(\"02. 「パトカー」＋「タクシー」＝「パタトクカシーー」\")\n print(\"「パトカー」＋「タクシー」の文字を先頭から交互に連結して文字列「パタトクカシーー」を得よ．\")\n\ndef main():\n str1 = \"パトカー\"\n str2 = \"タクシー\"\n print(''.join([x[0] + x[1] for x in zip(str1, str2)]))\n\nif __name__ == '__main__':\n question()\n main()\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class Lenet(nn.Module):
<|reserved_special_token_0|>
def forward(self, x):
layer_w = self.fc2.weight
sigma = layer_w.std().data.cpu().numpy()
layer_w_numpy = layer_w.data.cpu().numpy()
scale = 0.17
noise = np.random.normal(0, scale * sigma, layer_w.size())
w_noise = np.add(layer_w_numpy, noise)
w_noise_tensor = torch.tensor(w_noise)
w_noise_tensor = w_noise_tensor.to('cuda')
w_noise = torch.nn.Parameter(w_noise_tensor.float())
self.fc2.weight = w_noise
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
x = x.view(-1, 800)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
return x
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Lenet(nn.Module):
def __init__(self):
super(Lenet, self).__init__()
self.conv1 = nn.Conv2d(1, 20, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(20, 50, 5)
self.fc1 = nn.Linear(800, 500)
self.fc2 = nn.Linear(500, 10)
def forward(self, x):
layer_w = self.fc2.weight
sigma = layer_w.std().data.cpu().numpy()
layer_w_numpy = layer_w.data.cpu().numpy()
scale = 0.17
noise = np.random.normal(0, scale * sigma, layer_w.size())
w_noise = np.add(layer_w_numpy, noise)
w_noise_tensor = torch.tensor(w_noise)
w_noise_tensor = w_noise_tensor.to('cuda')
w_noise = torch.nn.Parameter(w_noise_tensor.float())
self.fc2.weight = w_noise
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
x = x.view(-1, 800)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
return x
def lenet_mnist():
model = Lenet()
return model
<|reserved_special_token_1|>
<|reserved_special_token_0|>
__all__ = ['lenet_mnist']
class Lenet(nn.Module):
def __init__(self):
super(Lenet, self).__init__()
self.conv1 = nn.Conv2d(1, 20, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(20, 50, 5)
self.fc1 = nn.Linear(800, 500)
self.fc2 = nn.Linear(500, 10)
def forward(self, x):
layer_w = self.fc2.weight
sigma = layer_w.std().data.cpu().numpy()
layer_w_numpy = layer_w.data.cpu().numpy()
scale = 0.17
noise = np.random.normal(0, scale * sigma, layer_w.size())
w_noise = np.add(layer_w_numpy, noise)
w_noise_tensor = torch.tensor(w_noise)
w_noise_tensor = w_noise_tensor.to('cuda')
w_noise = torch.nn.Parameter(w_noise_tensor.float())
self.fc2.weight = w_noise
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
x = x.view(-1, 800)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
return x
def lenet_mnist():
model = Lenet()
return model
<|reserved_special_token_1|>
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
__all__ = ['lenet_mnist']
class Lenet(nn.Module):
def __init__(self):
super(Lenet, self).__init__()
self.conv1 = nn.Conv2d(1, 20, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(20, 50, 5)
self.fc1 = nn.Linear(800, 500)
self.fc2 = nn.Linear(500, 10)
def forward(self, x):
layer_w = self.fc2.weight
sigma = layer_w.std().data.cpu().numpy()
layer_w_numpy = layer_w.data.cpu().numpy()
scale = 0.17
noise = np.random.normal(0, scale * sigma, layer_w.size())
w_noise = np.add(layer_w_numpy, noise)
w_noise_tensor = torch.tensor(w_noise)
w_noise_tensor = w_noise_tensor.to('cuda')
w_noise = torch.nn.Parameter(w_noise_tensor.float())
self.fc2.weight = w_noise
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
x = x.view(-1, 800)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
return x
def lenet_mnist():
model = Lenet()
return model
<|reserved_special_token_1|>
#
# Copyright (c) 2018 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
__all__ = ['lenet_mnist']
class Lenet(nn.Module):
def __init__(self):
super(Lenet, self).__init__()
self.conv1 = nn.Conv2d(1, 20, 5)
self.pool = nn.MaxPool2d(2, 2)
self.conv2 = nn.Conv2d(20, 50, 5)
self.fc1 = nn.Linear(800, 500)
self.fc2 = nn.Linear(500, 10)
def forward(self, x):
#print("weights sizes")
#print(self.conv1.weight.size())
layer_w = self.fc2.weight
sigma = layer_w.std().data.cpu().numpy()
layer_w_numpy = layer_w.data.cpu().numpy()
scale = 0.17
noise = np.random.normal(0, scale*sigma, layer_w.size())
w_noise = np.add(layer_w_numpy, noise)
w_noise_tensor = torch.tensor(w_noise)
#print(w_noise_tensor.size())
w_noise_tensor = w_noise_tensor.to('cuda')
w_noise = torch.nn.Parameter(w_noise_tensor.float())
self.fc2.weight = w_noise
#print("---------------------")
#print(self.conv2.weight.size())
#print("---------------------")
#print(self.fc1.weight.size())
#print("---------------------")
#print(self.fc2.weight.size())
#print("---------------------")
x = self.pool(F.relu(self.conv1(x)))
x = self.pool(F.relu(self.conv2(x)))
x = x.view(-1, 800)
x = F.relu(self.fc1(x))
x = F.relu(self.fc2(x))
#x = nn.Threshold(0.2, 0.0)#ActivationZeroThreshold(x)
return x
def lenet_mnist():
model = Lenet()
return model
|
flexible
|
{
"blob_id": "a38a5010c9edbed0929da225b4288396bb0d814e",
"index": 6989,
"step-1": "<mask token>\n\n\nclass Lenet(nn.Module):\n <mask token>\n\n def forward(self, x):\n layer_w = self.fc2.weight\n sigma = layer_w.std().data.cpu().numpy()\n layer_w_numpy = layer_w.data.cpu().numpy()\n scale = 0.17\n noise = np.random.normal(0, scale * sigma, layer_w.size())\n w_noise = np.add(layer_w_numpy, noise)\n w_noise_tensor = torch.tensor(w_noise)\n w_noise_tensor = w_noise_tensor.to('cuda')\n w_noise = torch.nn.Parameter(w_noise_tensor.float())\n self.fc2.weight = w_noise\n x = self.pool(F.relu(self.conv1(x)))\n x = self.pool(F.relu(self.conv2(x)))\n x = x.view(-1, 800)\n x = F.relu(self.fc1(x))\n x = F.relu(self.fc2(x))\n return x\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Lenet(nn.Module):\n\n def __init__(self):\n super(Lenet, self).__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.pool = nn.MaxPool2d(2, 2)\n self.conv2 = nn.Conv2d(20, 50, 5)\n self.fc1 = nn.Linear(800, 500)\n self.fc2 = nn.Linear(500, 10)\n\n def forward(self, x):\n layer_w = self.fc2.weight\n sigma = layer_w.std().data.cpu().numpy()\n layer_w_numpy = layer_w.data.cpu().numpy()\n scale = 0.17\n noise = np.random.normal(0, scale * sigma, layer_w.size())\n w_noise = np.add(layer_w_numpy, noise)\n w_noise_tensor = torch.tensor(w_noise)\n w_noise_tensor = w_noise_tensor.to('cuda')\n w_noise = torch.nn.Parameter(w_noise_tensor.float())\n self.fc2.weight = w_noise\n x = self.pool(F.relu(self.conv1(x)))\n x = self.pool(F.relu(self.conv2(x)))\n x = x.view(-1, 800)\n x = F.relu(self.fc1(x))\n x = F.relu(self.fc2(x))\n return x\n\n\ndef lenet_mnist():\n model = Lenet()\n return model\n",
"step-3": "<mask token>\n__all__ = ['lenet_mnist']\n\n\nclass Lenet(nn.Module):\n\n def __init__(self):\n super(Lenet, self).__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.pool = nn.MaxPool2d(2, 2)\n self.conv2 = nn.Conv2d(20, 50, 5)\n self.fc1 = nn.Linear(800, 500)\n self.fc2 = nn.Linear(500, 10)\n\n def forward(self, x):\n layer_w = self.fc2.weight\n sigma = layer_w.std().data.cpu().numpy()\n layer_w_numpy = layer_w.data.cpu().numpy()\n scale = 0.17\n noise = np.random.normal(0, scale * sigma, layer_w.size())\n w_noise = np.add(layer_w_numpy, noise)\n w_noise_tensor = torch.tensor(w_noise)\n w_noise_tensor = w_noise_tensor.to('cuda')\n w_noise = torch.nn.Parameter(w_noise_tensor.float())\n self.fc2.weight = w_noise\n x = self.pool(F.relu(self.conv1(x)))\n x = self.pool(F.relu(self.conv2(x)))\n x = x.view(-1, 800)\n x = F.relu(self.fc1(x))\n x = F.relu(self.fc2(x))\n return x\n\n\ndef lenet_mnist():\n model = Lenet()\n return model\n",
"step-4": "import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport numpy as np\n__all__ = ['lenet_mnist']\n\n\nclass Lenet(nn.Module):\n\n def __init__(self):\n super(Lenet, self).__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.pool = nn.MaxPool2d(2, 2)\n self.conv2 = nn.Conv2d(20, 50, 5)\n self.fc1 = nn.Linear(800, 500)\n self.fc2 = nn.Linear(500, 10)\n\n def forward(self, x):\n layer_w = self.fc2.weight\n sigma = layer_w.std().data.cpu().numpy()\n layer_w_numpy = layer_w.data.cpu().numpy()\n scale = 0.17\n noise = np.random.normal(0, scale * sigma, layer_w.size())\n w_noise = np.add(layer_w_numpy, noise)\n w_noise_tensor = torch.tensor(w_noise)\n w_noise_tensor = w_noise_tensor.to('cuda')\n w_noise = torch.nn.Parameter(w_noise_tensor.float())\n self.fc2.weight = w_noise\n x = self.pool(F.relu(self.conv1(x)))\n x = self.pool(F.relu(self.conv2(x)))\n x = x.view(-1, 800)\n x = F.relu(self.fc1(x))\n x = F.relu(self.fc2(x))\n return x\n\n\ndef lenet_mnist():\n model = Lenet()\n return model\n",
"step-5": "#\n# Copyright (c) 2018 Intel Corporation\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport numpy as np \n\n__all__ = ['lenet_mnist']\n\nclass Lenet(nn.Module):\n def __init__(self):\n super(Lenet, self).__init__()\n self.conv1 = nn.Conv2d(1, 20, 5)\n self.pool = nn.MaxPool2d(2, 2)\n self.conv2 = nn.Conv2d(20, 50, 5)\n self.fc1 = nn.Linear(800, 500)\n self.fc2 = nn.Linear(500, 10)\n\n def forward(self, x):\n #print(\"weights sizes\")\n #print(self.conv1.weight.size())\n layer_w = self.fc2.weight\n sigma = layer_w.std().data.cpu().numpy()\n layer_w_numpy = layer_w.data.cpu().numpy()\n scale = 0.17\n noise = np.random.normal(0, scale*sigma, layer_w.size())\n w_noise = np.add(layer_w_numpy, noise)\n w_noise_tensor = torch.tensor(w_noise)\n #print(w_noise_tensor.size())\n w_noise_tensor = w_noise_tensor.to('cuda')\n w_noise = torch.nn.Parameter(w_noise_tensor.float())\n self.fc2.weight = w_noise \n #print(\"---------------------\")\n #print(self.conv2.weight.size())\n #print(\"---------------------\")\n #print(self.fc1.weight.size())\n #print(\"---------------------\")\n #print(self.fc2.weight.size())\n #print(\"---------------------\")\n x = self.pool(F.relu(self.conv1(x)))\n x = self.pool(F.relu(self.conv2(x)))\n x = x.view(-1, 800)\n x = F.relu(self.fc1(x))\n x = F.relu(self.fc2(x))\n #x = nn.Threshold(0.2, 0.0)#ActivationZeroThreshold(x)\n return x\n\ndef lenet_mnist():\n model = Lenet()\n return model\n",
"step-ids": [
2,
4,
5,
6,
7
]
}
|
[
2,
4,
5,
6,
7
] |
b = int(input('enter anum '))
for a in range(1, 11, 1):
print(b, 'x', a, '=', a * b)
|
normal
|
{
"blob_id": "bf83556b8e8855a0e410fcfb3b42161fbc681830",
"index": 3075,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor a in range(1, 11, 1):\n print(b, 'x', a, '=', a * b)\n",
"step-3": "b = int(input('enter anum '))\nfor a in range(1, 11, 1):\n print(b, 'x', a, '=', a * b)\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
}
|
[
0,
1,
2
] |
<|reserved_special_token_0|>
@micropython.viper
def viper_int(x: int, y: int) ->int:
return x + y + 3
<|reserved_special_token_0|>
@micropython.viper
def viper_local(x: int) ->int:
y = 4
return x + y
<|reserved_special_token_0|>
@micropython.viper
def viper_no_annotation(x, y):
return x * y
<|reserved_special_token_0|>
@micropython.viper
def viper_for(a: int, b: int) ->int:
total = 0
for x in range(a, b):
total += x
return total
<|reserved_special_token_0|>
@micropython.viper
def viper_access_global():
global gl
gl = 1
return gl
<|reserved_special_token_0|>
@micropython.viper
def viper_print(x, y: int):
print(x, y + 1)
<|reserved_special_token_0|>
@micropython.viper
def viper_set(x, y: int):
return {x, y + 1}
<|reserved_special_token_0|>
@micropython.viper
def viper_raise(x: int):
raise OSError(x)
<|reserved_special_token_0|>
@micropython.viper
def viper_gc() ->int:
return 1
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@micropython.viper
def viper_int(x: int, y: int) ->int:
return x + y + 3
<|reserved_special_token_0|>
@micropython.viper
def viper_local(x: int) ->int:
y = 4
return x + y
<|reserved_special_token_0|>
@micropython.viper
def viper_no_annotation(x, y):
return x * y
<|reserved_special_token_0|>
@micropython.viper
def viper_for(a: int, b: int) ->int:
total = 0
for x in range(a, b):
total += x
return total
<|reserved_special_token_0|>
@micropython.viper
def viper_access_global():
global gl
gl = 1
return gl
<|reserved_special_token_0|>
@micropython.viper
def viper_print(x, y: int):
print(x, y + 1)
<|reserved_special_token_0|>
@micropython.viper
def viper_tuple(x, y: int):
return x, y + 1
<|reserved_special_token_0|>
@micropython.viper
def viper_set(x, y: int):
return {x, y + 1}
<|reserved_special_token_0|>
@micropython.viper
def viper_raise(x: int):
raise OSError(x)
<|reserved_special_token_0|>
@micropython.viper
def viper_gc() ->int:
return 1
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@micropython.viper
def viper_int(x: int, y: int) ->int:
return x + y + 3
<|reserved_special_token_0|>
@micropython.viper
def viper_object(x: object, y: object) ->object:
return x + y
<|reserved_special_token_0|>
@micropython.viper
def viper_local(x: int) ->int:
y = 4
return x + y
<|reserved_special_token_0|>
@micropython.viper
def viper_no_annotation(x, y):
return x * y
<|reserved_special_token_0|>
@micropython.viper
def viper_for(a: int, b: int) ->int:
total = 0
for x in range(a, b):
total += x
return total
<|reserved_special_token_0|>
@micropython.viper
def viper_access_global():
global gl
gl = 1
return gl
<|reserved_special_token_0|>
@micropython.viper
def viper_print(x, y: int):
print(x, y + 1)
<|reserved_special_token_0|>
@micropython.viper
def viper_tuple(x, y: int):
return x, y + 1
<|reserved_special_token_0|>
@micropython.viper
def viper_list(x, y: int):
return [x, y + 1]
<|reserved_special_token_0|>
@micropython.viper
def viper_set(x, y: int):
return {x, y + 1}
<|reserved_special_token_0|>
@micropython.viper
def viper_raise(x: int):
raise OSError(x)
<|reserved_special_token_0|>
@micropython.viper
def viper_gc() ->int:
return 1
<|reserved_special_token_0|>
<|reserved_special_token_1|>
import micropython
@micropython.viper
def viper_int(x: int, y: int) ->int:
return x + y + 3
print(viper_int(1, 2))
@micropython.viper
def viper_object(x: object, y: object) ->object:
return x + y
print(viper_object(1, 2))
@micropython.viper
def viper_local(x: int) ->int:
y = 4
return x + y
print(viper_local(3))
@micropython.viper
def viper_no_annotation(x, y):
return x * y
print(viper_no_annotation(4, 5))
@micropython.viper
def viper_for(a: int, b: int) ->int:
total = 0
for x in range(a, b):
total += x
return total
print(viper_for(10, 10000))
@micropython.viper
def viper_access_global():
global gl
gl = 1
return gl
print(viper_access_global(), gl)
@micropython.viper
def viper_print(x, y: int):
print(x, y + 1)
viper_print(1, 2)
@micropython.viper
def viper_tuple(x, y: int):
return x, y + 1
print(viper_tuple(1, 2))
@micropython.viper
def viper_list(x, y: int):
return [x, y + 1]
print(viper_list(1, 2))
@micropython.viper
def viper_set(x, y: int):
return {x, y + 1}
print(sorted(list(viper_set(1, 2))))
@micropython.viper
def viper_raise(x: int):
raise OSError(x)
try:
viper_raise(1)
except OSError as e:
print(repr(e))
@micropython.viper
def viper_gc() ->int:
return 1
print(viper_gc())
import gc
gc.collect()
print(viper_gc())
<|reserved_special_token_1|>
import micropython
# viper function taking and returning ints
@micropython.viper
def viper_int(x:int, y:int) -> int:
return x + y + 3
print(viper_int(1, 2))
# viper function taking and returning objects
@micropython.viper
def viper_object(x:object, y:object) -> object:
return x + y
print(viper_object(1, 2))
# a local (should have automatic type int)
@micropython.viper
def viper_local(x:int) -> int:
y = 4
return x + y
print(viper_local(3))
# without type annotation, types should default to object
@micropython.viper
def viper_no_annotation(x, y):
return x * y
print(viper_no_annotation(4, 5))
# a for loop
@micropython.viper
def viper_for(a:int, b:int) -> int:
total = 0
for x in range(a, b):
total += x
return total
print(viper_for(10, 10000))
# accessing a global
@micropython.viper
def viper_access_global():
global gl
gl = 1
return gl
print(viper_access_global(), gl)
# calling print with object and int types
@micropython.viper
def viper_print(x, y:int):
print(x, y + 1)
viper_print(1, 2)
# making a tuple from an object and an int
@micropython.viper
def viper_tuple(x, y:int):
return (x, y + 1)
print(viper_tuple(1, 2))
# making a list from an object and an int
@micropython.viper
def viper_list(x, y:int):
return [x, y + 1]
print(viper_list(1, 2))
# making a set from an object and an int
@micropython.viper
def viper_set(x, y:int):
return {x, y + 1}
print(sorted(list(viper_set(1, 2))))
# raising an exception
@micropython.viper
def viper_raise(x:int):
raise OSError(x)
try:
viper_raise(1)
except OSError as e:
print(repr(e))
# this doesn't work at the moment
#@micropython.viper
#def g() -> uint:
# return -1
# calling GC after defining the function
@micropython.viper
def viper_gc() -> int:
return 1
print(viper_gc())
import gc
gc.collect()
print(viper_gc())
|
flexible
|
{
"blob_id": "eec52695e5afcc21e5fed6453e96cc3a58e7c1df",
"index": 101,
"step-1": "<mask token>\n\n\n@micropython.viper\ndef viper_int(x: int, y: int) ->int:\n return x + y + 3\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_local(x: int) ->int:\n y = 4\n return x + y\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_no_annotation(x, y):\n return x * y\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_for(a: int, b: int) ->int:\n total = 0\n for x in range(a, b):\n total += x\n return total\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_access_global():\n global gl\n gl = 1\n return gl\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_print(x, y: int):\n print(x, y + 1)\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_set(x, y: int):\n return {x, y + 1}\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_raise(x: int):\n raise OSError(x)\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_gc() ->int:\n return 1\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\n@micropython.viper\ndef viper_int(x: int, y: int) ->int:\n return x + y + 3\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_local(x: int) ->int:\n y = 4\n return x + y\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_no_annotation(x, y):\n return x * y\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_for(a: int, b: int) ->int:\n total = 0\n for x in range(a, b):\n total += x\n return total\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_access_global():\n global gl\n gl = 1\n return gl\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_print(x, y: int):\n print(x, y + 1)\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_tuple(x, y: int):\n return x, y + 1\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_set(x, y: int):\n return {x, y + 1}\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_raise(x: int):\n raise OSError(x)\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_gc() ->int:\n return 1\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\n@micropython.viper\ndef viper_int(x: int, y: int) ->int:\n return x + y + 3\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_object(x: object, y: object) ->object:\n return x + y\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_local(x: int) ->int:\n y = 4\n return x + y\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_no_annotation(x, y):\n return x * y\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_for(a: int, b: int) ->int:\n total = 0\n for x in range(a, b):\n total += x\n return total\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_access_global():\n global gl\n gl = 1\n return gl\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_print(x, y: int):\n print(x, y + 1)\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_tuple(x, y: int):\n return x, y + 1\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_list(x, y: int):\n return [x, y + 1]\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_set(x, y: int):\n return {x, y + 1}\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_raise(x: int):\n raise OSError(x)\n\n\n<mask token>\n\n\n@micropython.viper\ndef viper_gc() ->int:\n return 1\n\n\n<mask token>\n",
"step-4": "import micropython\n\n\n@micropython.viper\ndef viper_int(x: int, y: int) ->int:\n return x + y + 3\n\n\nprint(viper_int(1, 2))\n\n\n@micropython.viper\ndef viper_object(x: object, y: object) ->object:\n return x + y\n\n\nprint(viper_object(1, 2))\n\n\n@micropython.viper\ndef viper_local(x: int) ->int:\n y = 4\n return x + y\n\n\nprint(viper_local(3))\n\n\n@micropython.viper\ndef viper_no_annotation(x, y):\n return x * y\n\n\nprint(viper_no_annotation(4, 5))\n\n\n@micropython.viper\ndef viper_for(a: int, b: int) ->int:\n total = 0\n for x in range(a, b):\n total += x\n return total\n\n\nprint(viper_for(10, 10000))\n\n\n@micropython.viper\ndef viper_access_global():\n global gl\n gl = 1\n return gl\n\n\nprint(viper_access_global(), gl)\n\n\n@micropython.viper\ndef viper_print(x, y: int):\n print(x, y + 1)\n\n\nviper_print(1, 2)\n\n\n@micropython.viper\ndef viper_tuple(x, y: int):\n return x, y + 1\n\n\nprint(viper_tuple(1, 2))\n\n\n@micropython.viper\ndef viper_list(x, y: int):\n return [x, y + 1]\n\n\nprint(viper_list(1, 2))\n\n\n@micropython.viper\ndef viper_set(x, y: int):\n return {x, y + 1}\n\n\nprint(sorted(list(viper_set(1, 2))))\n\n\n@micropython.viper\ndef viper_raise(x: int):\n raise OSError(x)\n\n\ntry:\n viper_raise(1)\nexcept OSError as e:\n print(repr(e))\n\n\n@micropython.viper\ndef viper_gc() ->int:\n return 1\n\n\nprint(viper_gc())\nimport gc\ngc.collect()\nprint(viper_gc())\n",
"step-5": "import micropython\r\n\r\n# viper function taking and returning ints\r\n@micropython.viper\r\ndef viper_int(x:int, y:int) -> int:\r\n return x + y + 3\r\nprint(viper_int(1, 2))\r\n\r\n# viper function taking and returning objects\r\n@micropython.viper\r\ndef viper_object(x:object, y:object) -> object:\r\n return x + y\r\nprint(viper_object(1, 2))\r\n\r\n# a local (should have automatic type int)\r\n@micropython.viper\r\ndef viper_local(x:int) -> int:\r\n y = 4\r\n return x + y\r\nprint(viper_local(3))\r\n\r\n# without type annotation, types should default to object\r\n@micropython.viper\r\ndef viper_no_annotation(x, y):\r\n return x * y\r\nprint(viper_no_annotation(4, 5))\r\n\r\n# a for loop\r\n@micropython.viper\r\ndef viper_for(a:int, b:int) -> int:\r\n total = 0\r\n for x in range(a, b):\r\n total += x\r\n return total\r\nprint(viper_for(10, 10000))\r\n\r\n# accessing a global\r\n@micropython.viper\r\ndef viper_access_global():\r\n global gl\r\n gl = 1\r\n return gl\r\nprint(viper_access_global(), gl)\r\n\r\n# calling print with object and int types\r\n@micropython.viper\r\ndef viper_print(x, y:int):\r\n print(x, y + 1)\r\nviper_print(1, 2)\r\n\r\n# making a tuple from an object and an int\r\n@micropython.viper\r\ndef viper_tuple(x, y:int):\r\n return (x, y + 1)\r\nprint(viper_tuple(1, 2))\r\n\r\n# making a list from an object and an int\r\n@micropython.viper\r\ndef viper_list(x, y:int):\r\n return [x, y + 1]\r\nprint(viper_list(1, 2))\r\n\r\n# making a set from an object and an int\r\n@micropython.viper\r\ndef viper_set(x, y:int):\r\n return {x, y + 1}\r\nprint(sorted(list(viper_set(1, 2))))\r\n\r\n# raising an exception\r\n@micropython.viper\r\ndef viper_raise(x:int):\r\n raise OSError(x)\r\ntry:\r\n viper_raise(1)\r\nexcept OSError as e:\r\n print(repr(e))\r\n\r\n# this doesn't work at the moment\r\n#@micropython.viper\r\n#def g() -> uint:\r\n# return -1\r\n\r\n# calling GC after defining the function\r\n@micropython.viper\r\ndef viper_gc() -> int:\r\n return 1\r\nprint(viper_gc())\r\nimport gc\r\ngc.collect()\r\nprint(viper_gc())\r\n",
"step-ids": [
9,
10,
12,
14,
15
]
}
|
[
9,
10,
12,
14,
15
] |
def main():
num = int(input('dia: '))
dia(num)
def dia(a):
if a == 1:
print('Domingo !')
elif a == 2:
print('Segunda !')
else:
print('valor invalido !')
main()
|
normal
|
{
"blob_id": "07332e2da5458fda2112de2507037a759d3c62db",
"index": 3382,
"step-1": "<mask token>\n",
"step-2": "def main():\n num = int(input('dia: '))\n dia(num)\n\n\n<mask token>\n",
"step-3": "def main():\n num = int(input('dia: '))\n dia(num)\n\n\ndef dia(a):\n if a == 1:\n print('Domingo !')\n elif a == 2:\n print('Segunda !')\n else:\n print('valor invalido !')\n\n\n<mask token>\n",
"step-4": "def main():\n num = int(input('dia: '))\n dia(num)\n\n\ndef dia(a):\n if a == 1:\n print('Domingo !')\n elif a == 2:\n print('Segunda !')\n else:\n print('valor invalido !')\n\n\nmain()\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
"""
contains generic code for use in main menus. currently this is a function which turns dictionaries of functions
into a menu. I envision any further menu functions being stored here so don't expect it to run like a pipeline but
rather like a suite of individual menus.
TODO - refactor spider selection function as jesus christ that things fat
- incorporate spider selector in config manager options
"""
import re
import os
import json
from datetime import date, datetime
from collections import defaultdict
import pandas as pd
from HousingPriceScraper.HousingPriceScraper.functions.basic_functions import return_false, end_process, \
alphabet_list_length, flatten_list_of_lists
from HousingPriceScraper.HousingPriceScraper.functions.data_management import save_list_to_txt
def final_option(dict_of_options, back):
"""
adds the final option to the dictionary based on a boolean
:param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important
that these functions don't require parameters.
:param back: boolean
:return: dict_of_options but with a new, final key added in
"""
if back:
dict_of_options['back'] = return_false
else:
dict_of_options['end_process'] = end_process
return dict_of_options
def basic_menu(dict_of_options, back=False):
"""
basic text based user interface, allows user to select a function to run from a dictionary of options, by using a
simple numeric code. User will see this dictionaries keys enumerated on screen to choose from.
:param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important
that these functions don't require parameters.
:param back: boolean. choose between scrolling back to previous menu or ending the process entirely. defaults to
ending process since that's how the main menu does it and unsure of where else function will be called
:return: run the chosen function
"""
choose = True
dict_of_options = final_option(dict_of_options, back)
list_of_options = list(dict_of_options.keys())
while choose:
print('The following options are available:\n')
for option in enumerate(list_of_options):
print('\t{} - {}'.format(option[0], option[1]))
pick = input('\nType the numeric code you wish to run\n\n')
if pick in [str(i) for i in range((len(dict_of_options)))]:
choose = dict_of_options[list_of_options[int(pick)]]()
else:
print('{} is not currently an option!\n'.format(pick))
def basic_menu_non_functional(list_of_options):
"""
basic text based user interface, allows user to select multiple options from a list of available choices.
:param list_of_options: list of available choices
:return: a list of chosen strings
"""
choose = True
list_of_options.append('back')
while choose:
print('The following options are available:\n')
for option in enumerate(list_of_options):
print('\t{} - {}'.format(option[0], option[1]))
picks = input('\nType the numeric codes you wish to run\n\n').split(',')
choice = []
if str(len(list_of_options)) in picks:
return True
for pick in picks:
if pick in [str(i) for i in range((len(list_of_options)))]:
choice.append(list_of_options[int(pick)])
else:
print('{} is not currently an option!\n'.format(pick))
if len(choice) > 0:
return choice
def select_spiders(spiders_dict):
"""
select from spiders available. allows user to select all spiders, select all spiders within a
project group, select some comma separated list of individual/groups of spiders, or by prefixing a
given selection with "-", the user can remove a spider from his or her selection.
:param spiders_dict: dictionary who's keys are broad options and values are lists of spiders
:return: list containing the spiders the user has selected to run
"""
print('Available spiders include:\n')
enumerated_keys = list(enumerate(spiders_dict.keys()))
for key_group in enumerated_keys:
print('{} - {}'.format(key_group[0], key_group[1]))
for spider in zip(alphabet_list_length(len(key_group[1])), spiders_dict[key_group[1]]):
print('\t{}{} - {}'.format(key_group[0], spider[0], spider[1].name))
print('{} - run all'.format(len(spiders_dict.keys())))
print('{} - back'.format(len(spiders_dict.keys())+1))
choices = input('\nfor multiple, comma separate. To remove, use "-" prefix\ni.e.: 0,-0a to run all of group 0 except the first\n').replace(' ', '').split(',')
if str(len(spiders_dict.keys())+1) in choices:
return False
if str(len(spiders_dict.keys())) in choices:
chosen_spiders = list(spiders_dict.values())
else:
chosen_spiders = []
for choice in choices:
if choice.isdigit():
if choice in [str(i[0]) for i in enumerated_keys]:
chosen_spiders.append(spiders_dict[enumerated_keys[int(choice)][1]])
else:
print('{} is not an option!'.format(choice))
elif '-' not in choice:
numeric = re.findall(r'\d+', choice)
if len(numeric) == 1:
alpha = choice.split(numeric[0])[1]
alpha = len(alphabet_list_length(0, index=alpha))-1
try:
chosen_spiders.append(spiders_dict[enumerated_keys[int(numeric[0])][1]][alpha])
except IndexError:
print('{} is not an option!'.format(choice))
else:
print('{} is not an option!'.format(choice))
if any(isinstance(el, list) for el in chosen_spiders):
chosen_spiders = flatten_list_of_lists(chosen_spiders, make_set=True)
else:
chosen_spiders = list(set(chosen_spiders))
to_remove = [choice for choice in choices if '-' in choice]
if len(to_remove) > 0:
for removee in to_remove:
if removee.replace('-', '').isdigit():
if removee.replace('-', '') in [str(i[0]) for i in enumerated_keys]:
for spider in spiders_dict[enumerated_keys[int(removee.replace('-', ''))][1]]:
chosen_spiders.remove(spider)
else:
print('{} is not an option!'.format(removee))
else:
numeric = re.findall(r'\d+', removee)
if len(numeric) == 1:
alpha = removee.split(numeric[0])[1]
alpha = len(alphabet_list_length(0, index=alpha)) - 1
try:
chosen_spiders.remove(spiders_dict[enumerated_keys[int(numeric[0])][1]][alpha])
except IndexError:
print('{} is not an option!'.format(removee))
else:
print('{} is not an option!'.format(removee))
if len(chosen_spiders) > 0:
return chosen_spiders
else:
print("You haven't selected any spiders!")
return False
def project_visibility_menu():
"""
creates menu to allow user to set which project groups are visible in the run_scrapers menu
:return: creates a txt file containing the list of desired project names, one per row.
"""
projects = [i.split('.')[0] for i in os.listdir('HousingPriceScraper/HousingPriceScraper/spiders/SpiderGroups')[:-1]]
print('Available projects are:\n')
for project in enumerate(projects):
print('\t{} - {}'.format(project[0], project[1]))
print('\t{} - back'.format(len(projects)))
choices = input('\nType the options you wish to select.\nFor multiple, comma separate\n\n').split(',')
if str(len(projects)) in choices:
return True
else:
choice_list = []
for choice in choices:
if choice.isdigit() and int(choice) in range(len(projects)):
choice_list.append(projects[int(choice)])
print('You have selected to display the following spider groupings:\n\t{}\n'.format(choice_list))
save_list_to_txt(choice_list, 'HousingPriceScraper/HousingPriceScraper/configs/visible_projects_to_scrape.txt')
return True
def set_config():
"""
menu to set the url configs.
:return: will set the start_urls of the spiders.
"""
available_configs = open('HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt', 'r')
options = available_configs.readlines()
options_dict = {}
print('available configs include:\n')
for option in enumerate(options):
options_dict[option[0]] = option[1].split(':')[0]
print('\t{} - {}'.format(option[0], option[1].replace('\n', '')))
print('\t{} - back'.format(len(options)))
chosen = input('\ncomma separate for multiple\n').split(',')
if (str(len(options)) in chosen) or (chosen == ['']):
return True
configs = []
for choice in chosen:
if int(choice) in options_dict:
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'.format(options_dict[int(choice)])) as f:
configs.append(json.load(f))
final_config = defaultdict(list)
for config in configs:
for key, value in config.items():
if key in final_config:
final_config[key] += value
else:
final_config[key] = value
for key, value in final_config.items():
if any(isinstance(val, list) for val in value):
final_config[key] = flatten_list_of_lists(value, make_set=True)
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json') as default_urls_json:
default_dict = json.load(default_urls_json)
for key, value in default_dict.items():
if key not in final_config.keys():
final_config[key] = value
with open('HousingPriceScraper/HousingPriceScraper/configs/chosen_urls.json', 'w') as fp:
json.dump(final_config, fp, sort_keys=True, indent=4)
return True
def append_recent_urls():
"""
function for appending recent scraped urls to default urls json
:return: default.json is updated
"""
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json') as default_urls_json:
default_dict = json.load(default_urls_json)
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json') as recent_urls_json:
recent_dict = json.load(recent_urls_json)
for key, value in recent_dict.items():
default_dict.setdefault(key, []).extend(value)
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json', 'w') as fp:
json.dump(default_dict, fp, sort_keys=True, indent=4)
def replace_default_urls():
"""
function for replacing default urls config with recent scrapes
:return: defaults.json is updated
"""
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json') as default_urls_json:
default_dict = json.load(default_urls_json)
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json') as recent_urls_json:
recent_dict = json.load(recent_urls_json)
for key, value in recent_dict.items():
default_dict[key] = value
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json', 'w') as fp:
json.dump(default_dict, fp, sort_keys=True, indent=4)
def create_new_config():
"""
function which creates a whole new config file to store recent scraped urls in
:return: new config is created
"""
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json') as recent_urls_json:
urls_dict = json.load(recent_urls_json)
config_name = input('Type a name for the new config file:\n').replace(' ', '_').replace(':', '')
config_desc = input('Type a brief description for the new config file:\n')
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'.format(config_name), 'w') as fp:
json.dump(urls_dict, fp, sort_keys=True, indent=4)
with open('HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt', 'a') as input_descs:
input_descs.write('\n{}: {}'.format(config_name, config_desc))
print('\nSuccessfully saved recently scraped urls to new config: {}.json'.format(config_name))
def clear_recent_urls():
"""
function which bleaches the recent urls config in order to start fresh next time
:return: recent_urls will become an empty dictionary.
"""
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json') as recent_urls_json:
recent_dict = json.load(recent_urls_json)
for key in recent_dict.keys():
recent_dict[key] = []
with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json', 'w') as fp:
json.dump(recent_dict, fp, sort_keys=True, indent=4)
def select_date_interval_menu():
"""
function allows user to inout start and end date to define an interval of dates
:return: list of dates
"""
while True:
start_date = input('\nInput desired start date with format dd-mm-yyyy:\n')
try:
start_date = datetime.strptime(start_date, '%d-%m-%Y')
break
except ValueError:
print('invalid start date selected')
while True:
end_date = input('\nInput desired start date with format dd-mm-yyyy,\nor hit enter to select todays date\n')
if end_date == '':
end_date = date.today()
break
else:
try:
end_date = datetime.strptime(end_date, '%d-%m-%Y')
break
except ValueError:
print('invalid end date selected')
list_of_dates = pd.date_range(start_date, end_date, freq='d')
list_of_dates = [i.strftime('%d%m%Y') for i in list_of_dates]
return list_of_dates
|
normal
|
{
"blob_id": "f28b47e1b07011ce9d0708331f68d7f16195c567",
"index": 7225,
"step-1": "<mask token>\n\n\ndef final_option(dict_of_options, back):\n \"\"\"\n adds the final option to the dictionary based on a boolean\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean\n :return: dict_of_options but with a new, final key added in\n \"\"\"\n if back:\n dict_of_options['back'] = return_false\n else:\n dict_of_options['end_process'] = end_process\n return dict_of_options\n\n\ndef basic_menu(dict_of_options, back=False):\n \"\"\"\n basic text based user interface, allows user to select a function to run from a dictionary of options, by using a\n simple numeric code. User will see this dictionaries keys enumerated on screen to choose from.\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean. choose between scrolling back to previous menu or ending the process entirely. defaults to\n ending process since that's how the main menu does it and unsure of where else function will be called\n :return: run the chosen function\n \"\"\"\n choose = True\n dict_of_options = final_option(dict_of_options, back)\n list_of_options = list(dict_of_options.keys())\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n pick = input('\\nType the numeric code you wish to run\\n\\n')\n if pick in [str(i) for i in range(len(dict_of_options))]:\n choose = dict_of_options[list_of_options[int(pick)]]()\n else:\n print('{} is not currently an option!\\n'.format(pick))\n\n\ndef basic_menu_non_functional(list_of_options):\n \"\"\"\n basic text based user interface, allows user to select multiple options from a list of available choices.\n\n :param list_of_options: list of available choices\n :return: a list of chosen strings\n \"\"\"\n choose = True\n list_of_options.append('back')\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n picks = input('\\nType the numeric codes you wish to run\\n\\n').split(','\n )\n choice = []\n if str(len(list_of_options)) in picks:\n return True\n for pick in picks:\n if pick in [str(i) for i in range(len(list_of_options))]:\n choice.append(list_of_options[int(pick)])\n else:\n print('{} is not currently an option!\\n'.format(pick))\n if len(choice) > 0:\n return choice\n\n\n<mask token>\n\n\ndef project_visibility_menu():\n \"\"\"\n creates menu to allow user to set which project groups are visible in the run_scrapers menu\n\n :return: creates a txt file containing the list of desired project names, one per row.\n \"\"\"\n projects = [i.split('.')[0] for i in os.listdir(\n 'HousingPriceScraper/HousingPriceScraper/spiders/SpiderGroups')[:-1]]\n print('Available projects are:\\n')\n for project in enumerate(projects):\n print('\\t{} - {}'.format(project[0], project[1]))\n print('\\t{} - back'.format(len(projects)))\n choices = input(\n '\\nType the options you wish to select.\\nFor multiple, comma separate\\n\\n'\n ).split(',')\n if str(len(projects)) in choices:\n return True\n else:\n choice_list = []\n for choice in choices:\n if choice.isdigit() and int(choice) in range(len(projects)):\n choice_list.append(projects[int(choice)])\n print(\n 'You have selected to display the following spider groupings:\\n\\t{}\\n'\n .format(choice_list))\n save_list_to_txt(choice_list,\n 'HousingPriceScraper/HousingPriceScraper/configs/visible_projects_to_scrape.txt'\n )\n return True\n\n\n<mask token>\n\n\ndef replace_default_urls():\n \"\"\"\n function for replacing default urls config with recent scrapes\n\n :return: defaults.json is updated\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key, value in recent_dict.items():\n default_dict[key] = value\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n , 'w') as fp:\n json.dump(default_dict, fp, sort_keys=True, indent=4)\n\n\ndef create_new_config():\n \"\"\"\n function which creates a whole new config file to store recent scraped urls in\n\n :return: new config is created\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n urls_dict = json.load(recent_urls_json)\n config_name = input('Type a name for the new config file:\\n').replace(' ',\n '_').replace(':', '')\n config_desc = input('Type a brief description for the new config file:\\n')\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'\n .format(config_name), 'w') as fp:\n json.dump(urls_dict, fp, sort_keys=True, indent=4)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt'\n , 'a') as input_descs:\n input_descs.write('\\n{}: {}'.format(config_name, config_desc))\n print('\\nSuccessfully saved recently scraped urls to new config: {}.json'\n .format(config_name))\n\n\ndef clear_recent_urls():\n \"\"\"\n function which bleaches the recent urls config in order to start fresh next time\n\n :return: recent_urls will become an empty dictionary.\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key in recent_dict.keys():\n recent_dict[key] = []\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n , 'w') as fp:\n json.dump(recent_dict, fp, sort_keys=True, indent=4)\n\n\ndef select_date_interval_menu():\n \"\"\"\n function allows user to inout start and end date to define an interval of dates\n\n :return: list of dates\n \"\"\"\n while True:\n start_date = input(\n '\\nInput desired start date with format dd-mm-yyyy:\\n')\n try:\n start_date = datetime.strptime(start_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid start date selected')\n while True:\n end_date = input(\n \"\"\"\nInput desired start date with format dd-mm-yyyy,\nor hit enter to select todays date\n\"\"\"\n )\n if end_date == '':\n end_date = date.today()\n break\n else:\n try:\n end_date = datetime.strptime(end_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid end date selected')\n list_of_dates = pd.date_range(start_date, end_date, freq='d')\n list_of_dates = [i.strftime('%d%m%Y') for i in list_of_dates]\n return list_of_dates\n",
"step-2": "<mask token>\n\n\ndef final_option(dict_of_options, back):\n \"\"\"\n adds the final option to the dictionary based on a boolean\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean\n :return: dict_of_options but with a new, final key added in\n \"\"\"\n if back:\n dict_of_options['back'] = return_false\n else:\n dict_of_options['end_process'] = end_process\n return dict_of_options\n\n\ndef basic_menu(dict_of_options, back=False):\n \"\"\"\n basic text based user interface, allows user to select a function to run from a dictionary of options, by using a\n simple numeric code. User will see this dictionaries keys enumerated on screen to choose from.\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean. choose between scrolling back to previous menu or ending the process entirely. defaults to\n ending process since that's how the main menu does it and unsure of where else function will be called\n :return: run the chosen function\n \"\"\"\n choose = True\n dict_of_options = final_option(dict_of_options, back)\n list_of_options = list(dict_of_options.keys())\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n pick = input('\\nType the numeric code you wish to run\\n\\n')\n if pick in [str(i) for i in range(len(dict_of_options))]:\n choose = dict_of_options[list_of_options[int(pick)]]()\n else:\n print('{} is not currently an option!\\n'.format(pick))\n\n\ndef basic_menu_non_functional(list_of_options):\n \"\"\"\n basic text based user interface, allows user to select multiple options from a list of available choices.\n\n :param list_of_options: list of available choices\n :return: a list of chosen strings\n \"\"\"\n choose = True\n list_of_options.append('back')\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n picks = input('\\nType the numeric codes you wish to run\\n\\n').split(','\n )\n choice = []\n if str(len(list_of_options)) in picks:\n return True\n for pick in picks:\n if pick in [str(i) for i in range(len(list_of_options))]:\n choice.append(list_of_options[int(pick)])\n else:\n print('{} is not currently an option!\\n'.format(pick))\n if len(choice) > 0:\n return choice\n\n\n<mask token>\n\n\ndef project_visibility_menu():\n \"\"\"\n creates menu to allow user to set which project groups are visible in the run_scrapers menu\n\n :return: creates a txt file containing the list of desired project names, one per row.\n \"\"\"\n projects = [i.split('.')[0] for i in os.listdir(\n 'HousingPriceScraper/HousingPriceScraper/spiders/SpiderGroups')[:-1]]\n print('Available projects are:\\n')\n for project in enumerate(projects):\n print('\\t{} - {}'.format(project[0], project[1]))\n print('\\t{} - back'.format(len(projects)))\n choices = input(\n '\\nType the options you wish to select.\\nFor multiple, comma separate\\n\\n'\n ).split(',')\n if str(len(projects)) in choices:\n return True\n else:\n choice_list = []\n for choice in choices:\n if choice.isdigit() and int(choice) in range(len(projects)):\n choice_list.append(projects[int(choice)])\n print(\n 'You have selected to display the following spider groupings:\\n\\t{}\\n'\n .format(choice_list))\n save_list_to_txt(choice_list,\n 'HousingPriceScraper/HousingPriceScraper/configs/visible_projects_to_scrape.txt'\n )\n return True\n\n\ndef set_config():\n \"\"\"\n menu to set the url configs.\n\n :return: will set the start_urls of the spiders.\n \"\"\"\n available_configs = open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt'\n , 'r')\n options = available_configs.readlines()\n options_dict = {}\n print('available configs include:\\n')\n for option in enumerate(options):\n options_dict[option[0]] = option[1].split(':')[0]\n print('\\t{} - {}'.format(option[0], option[1].replace('\\n', '')))\n print('\\t{} - back'.format(len(options)))\n chosen = input('\\ncomma separate for multiple\\n').split(',')\n if str(len(options)) in chosen or chosen == ['']:\n return True\n configs = []\n for choice in chosen:\n if int(choice) in options_dict:\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'\n .format(options_dict[int(choice)])) as f:\n configs.append(json.load(f))\n final_config = defaultdict(list)\n for config in configs:\n for key, value in config.items():\n if key in final_config:\n final_config[key] += value\n else:\n final_config[key] = value\n for key, value in final_config.items():\n if any(isinstance(val, list) for val in value):\n final_config[key] = flatten_list_of_lists(value, make_set=True)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n for key, value in default_dict.items():\n if key not in final_config.keys():\n final_config[key] = value\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/chosen_urls.json', 'w'\n ) as fp:\n json.dump(final_config, fp, sort_keys=True, indent=4)\n return True\n\n\ndef append_recent_urls():\n \"\"\"\n function for appending recent scraped urls to default urls json\n\n :return: default.json is updated\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key, value in recent_dict.items():\n default_dict.setdefault(key, []).extend(value)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n , 'w') as fp:\n json.dump(default_dict, fp, sort_keys=True, indent=4)\n\n\ndef replace_default_urls():\n \"\"\"\n function for replacing default urls config with recent scrapes\n\n :return: defaults.json is updated\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key, value in recent_dict.items():\n default_dict[key] = value\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n , 'w') as fp:\n json.dump(default_dict, fp, sort_keys=True, indent=4)\n\n\ndef create_new_config():\n \"\"\"\n function which creates a whole new config file to store recent scraped urls in\n\n :return: new config is created\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n urls_dict = json.load(recent_urls_json)\n config_name = input('Type a name for the new config file:\\n').replace(' ',\n '_').replace(':', '')\n config_desc = input('Type a brief description for the new config file:\\n')\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'\n .format(config_name), 'w') as fp:\n json.dump(urls_dict, fp, sort_keys=True, indent=4)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt'\n , 'a') as input_descs:\n input_descs.write('\\n{}: {}'.format(config_name, config_desc))\n print('\\nSuccessfully saved recently scraped urls to new config: {}.json'\n .format(config_name))\n\n\ndef clear_recent_urls():\n \"\"\"\n function which bleaches the recent urls config in order to start fresh next time\n\n :return: recent_urls will become an empty dictionary.\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key in recent_dict.keys():\n recent_dict[key] = []\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n , 'w') as fp:\n json.dump(recent_dict, fp, sort_keys=True, indent=4)\n\n\ndef select_date_interval_menu():\n \"\"\"\n function allows user to inout start and end date to define an interval of dates\n\n :return: list of dates\n \"\"\"\n while True:\n start_date = input(\n '\\nInput desired start date with format dd-mm-yyyy:\\n')\n try:\n start_date = datetime.strptime(start_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid start date selected')\n while True:\n end_date = input(\n \"\"\"\nInput desired start date with format dd-mm-yyyy,\nor hit enter to select todays date\n\"\"\"\n )\n if end_date == '':\n end_date = date.today()\n break\n else:\n try:\n end_date = datetime.strptime(end_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid end date selected')\n list_of_dates = pd.date_range(start_date, end_date, freq='d')\n list_of_dates = [i.strftime('%d%m%Y') for i in list_of_dates]\n return list_of_dates\n",
"step-3": "<mask token>\n\n\ndef final_option(dict_of_options, back):\n \"\"\"\n adds the final option to the dictionary based on a boolean\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean\n :return: dict_of_options but with a new, final key added in\n \"\"\"\n if back:\n dict_of_options['back'] = return_false\n else:\n dict_of_options['end_process'] = end_process\n return dict_of_options\n\n\ndef basic_menu(dict_of_options, back=False):\n \"\"\"\n basic text based user interface, allows user to select a function to run from a dictionary of options, by using a\n simple numeric code. User will see this dictionaries keys enumerated on screen to choose from.\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean. choose between scrolling back to previous menu or ending the process entirely. defaults to\n ending process since that's how the main menu does it and unsure of where else function will be called\n :return: run the chosen function\n \"\"\"\n choose = True\n dict_of_options = final_option(dict_of_options, back)\n list_of_options = list(dict_of_options.keys())\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n pick = input('\\nType the numeric code you wish to run\\n\\n')\n if pick in [str(i) for i in range(len(dict_of_options))]:\n choose = dict_of_options[list_of_options[int(pick)]]()\n else:\n print('{} is not currently an option!\\n'.format(pick))\n\n\ndef basic_menu_non_functional(list_of_options):\n \"\"\"\n basic text based user interface, allows user to select multiple options from a list of available choices.\n\n :param list_of_options: list of available choices\n :return: a list of chosen strings\n \"\"\"\n choose = True\n list_of_options.append('back')\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n picks = input('\\nType the numeric codes you wish to run\\n\\n').split(','\n )\n choice = []\n if str(len(list_of_options)) in picks:\n return True\n for pick in picks:\n if pick in [str(i) for i in range(len(list_of_options))]:\n choice.append(list_of_options[int(pick)])\n else:\n print('{} is not currently an option!\\n'.format(pick))\n if len(choice) > 0:\n return choice\n\n\ndef select_spiders(spiders_dict):\n \"\"\"\n select from spiders available. allows user to select all spiders, select all spiders within a\n project group, select some comma separated list of individual/groups of spiders, or by prefixing a\n given selection with \"-\", the user can remove a spider from his or her selection.\n\n :param spiders_dict: dictionary who's keys are broad options and values are lists of spiders\n :return: list containing the spiders the user has selected to run\n \"\"\"\n print('Available spiders include:\\n')\n enumerated_keys = list(enumerate(spiders_dict.keys()))\n for key_group in enumerated_keys:\n print('{} - {}'.format(key_group[0], key_group[1]))\n for spider in zip(alphabet_list_length(len(key_group[1])),\n spiders_dict[key_group[1]]):\n print('\\t{}{} - {}'.format(key_group[0], spider[0], spider[1].name)\n )\n print('{} - run all'.format(len(spiders_dict.keys())))\n print('{} - back'.format(len(spiders_dict.keys()) + 1))\n choices = input(\n \"\"\"\nfor multiple, comma separate. To remove, use \"-\" prefix\ni.e.: 0,-0a to run all of group 0 except the first\n\"\"\"\n ).replace(' ', '').split(',')\n if str(len(spiders_dict.keys()) + 1) in choices:\n return False\n if str(len(spiders_dict.keys())) in choices:\n chosen_spiders = list(spiders_dict.values())\n else:\n chosen_spiders = []\n for choice in choices:\n if choice.isdigit():\n if choice in [str(i[0]) for i in enumerated_keys]:\n chosen_spiders.append(spiders_dict[enumerated_keys[int(\n choice)][1]])\n else:\n print('{} is not an option!'.format(choice))\n elif '-' not in choice:\n numeric = re.findall('\\\\d+', choice)\n if len(numeric) == 1:\n alpha = choice.split(numeric[0])[1]\n alpha = len(alphabet_list_length(0, index=alpha)) - 1\n try:\n chosen_spiders.append(spiders_dict[enumerated_keys[\n int(numeric[0])][1]][alpha])\n except IndexError:\n print('{} is not an option!'.format(choice))\n else:\n print('{} is not an option!'.format(choice))\n if any(isinstance(el, list) for el in chosen_spiders):\n chosen_spiders = flatten_list_of_lists(chosen_spiders, make_set=True)\n else:\n chosen_spiders = list(set(chosen_spiders))\n to_remove = [choice for choice in choices if '-' in choice]\n if len(to_remove) > 0:\n for removee in to_remove:\n if removee.replace('-', '').isdigit():\n if removee.replace('-', '') in [str(i[0]) for i in\n enumerated_keys]:\n for spider in spiders_dict[enumerated_keys[int(removee.\n replace('-', ''))][1]]:\n chosen_spiders.remove(spider)\n else:\n print('{} is not an option!'.format(removee))\n else:\n numeric = re.findall('\\\\d+', removee)\n if len(numeric) == 1:\n alpha = removee.split(numeric[0])[1]\n alpha = len(alphabet_list_length(0, index=alpha)) - 1\n try:\n chosen_spiders.remove(spiders_dict[enumerated_keys[\n int(numeric[0])][1]][alpha])\n except IndexError:\n print('{} is not an option!'.format(removee))\n else:\n print('{} is not an option!'.format(removee))\n if len(chosen_spiders) > 0:\n return chosen_spiders\n else:\n print(\"You haven't selected any spiders!\")\n return False\n\n\ndef project_visibility_menu():\n \"\"\"\n creates menu to allow user to set which project groups are visible in the run_scrapers menu\n\n :return: creates a txt file containing the list of desired project names, one per row.\n \"\"\"\n projects = [i.split('.')[0] for i in os.listdir(\n 'HousingPriceScraper/HousingPriceScraper/spiders/SpiderGroups')[:-1]]\n print('Available projects are:\\n')\n for project in enumerate(projects):\n print('\\t{} - {}'.format(project[0], project[1]))\n print('\\t{} - back'.format(len(projects)))\n choices = input(\n '\\nType the options you wish to select.\\nFor multiple, comma separate\\n\\n'\n ).split(',')\n if str(len(projects)) in choices:\n return True\n else:\n choice_list = []\n for choice in choices:\n if choice.isdigit() and int(choice) in range(len(projects)):\n choice_list.append(projects[int(choice)])\n print(\n 'You have selected to display the following spider groupings:\\n\\t{}\\n'\n .format(choice_list))\n save_list_to_txt(choice_list,\n 'HousingPriceScraper/HousingPriceScraper/configs/visible_projects_to_scrape.txt'\n )\n return True\n\n\ndef set_config():\n \"\"\"\n menu to set the url configs.\n\n :return: will set the start_urls of the spiders.\n \"\"\"\n available_configs = open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt'\n , 'r')\n options = available_configs.readlines()\n options_dict = {}\n print('available configs include:\\n')\n for option in enumerate(options):\n options_dict[option[0]] = option[1].split(':')[0]\n print('\\t{} - {}'.format(option[0], option[1].replace('\\n', '')))\n print('\\t{} - back'.format(len(options)))\n chosen = input('\\ncomma separate for multiple\\n').split(',')\n if str(len(options)) in chosen or chosen == ['']:\n return True\n configs = []\n for choice in chosen:\n if int(choice) in options_dict:\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'\n .format(options_dict[int(choice)])) as f:\n configs.append(json.load(f))\n final_config = defaultdict(list)\n for config in configs:\n for key, value in config.items():\n if key in final_config:\n final_config[key] += value\n else:\n final_config[key] = value\n for key, value in final_config.items():\n if any(isinstance(val, list) for val in value):\n final_config[key] = flatten_list_of_lists(value, make_set=True)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n for key, value in default_dict.items():\n if key not in final_config.keys():\n final_config[key] = value\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/chosen_urls.json', 'w'\n ) as fp:\n json.dump(final_config, fp, sort_keys=True, indent=4)\n return True\n\n\ndef append_recent_urls():\n \"\"\"\n function for appending recent scraped urls to default urls json\n\n :return: default.json is updated\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key, value in recent_dict.items():\n default_dict.setdefault(key, []).extend(value)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n , 'w') as fp:\n json.dump(default_dict, fp, sort_keys=True, indent=4)\n\n\ndef replace_default_urls():\n \"\"\"\n function for replacing default urls config with recent scrapes\n\n :return: defaults.json is updated\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key, value in recent_dict.items():\n default_dict[key] = value\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n , 'w') as fp:\n json.dump(default_dict, fp, sort_keys=True, indent=4)\n\n\ndef create_new_config():\n \"\"\"\n function which creates a whole new config file to store recent scraped urls in\n\n :return: new config is created\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n urls_dict = json.load(recent_urls_json)\n config_name = input('Type a name for the new config file:\\n').replace(' ',\n '_').replace(':', '')\n config_desc = input('Type a brief description for the new config file:\\n')\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'\n .format(config_name), 'w') as fp:\n json.dump(urls_dict, fp, sort_keys=True, indent=4)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt'\n , 'a') as input_descs:\n input_descs.write('\\n{}: {}'.format(config_name, config_desc))\n print('\\nSuccessfully saved recently scraped urls to new config: {}.json'\n .format(config_name))\n\n\ndef clear_recent_urls():\n \"\"\"\n function which bleaches the recent urls config in order to start fresh next time\n\n :return: recent_urls will become an empty dictionary.\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key in recent_dict.keys():\n recent_dict[key] = []\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n , 'w') as fp:\n json.dump(recent_dict, fp, sort_keys=True, indent=4)\n\n\ndef select_date_interval_menu():\n \"\"\"\n function allows user to inout start and end date to define an interval of dates\n\n :return: list of dates\n \"\"\"\n while True:\n start_date = input(\n '\\nInput desired start date with format dd-mm-yyyy:\\n')\n try:\n start_date = datetime.strptime(start_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid start date selected')\n while True:\n end_date = input(\n \"\"\"\nInput desired start date with format dd-mm-yyyy,\nor hit enter to select todays date\n\"\"\"\n )\n if end_date == '':\n end_date = date.today()\n break\n else:\n try:\n end_date = datetime.strptime(end_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid end date selected')\n list_of_dates = pd.date_range(start_date, end_date, freq='d')\n list_of_dates = [i.strftime('%d%m%Y') for i in list_of_dates]\n return list_of_dates\n",
"step-4": "<mask token>\nimport re\nimport os\nimport json\nfrom datetime import date, datetime\nfrom collections import defaultdict\nimport pandas as pd\nfrom HousingPriceScraper.HousingPriceScraper.functions.basic_functions import return_false, end_process, alphabet_list_length, flatten_list_of_lists\nfrom HousingPriceScraper.HousingPriceScraper.functions.data_management import save_list_to_txt\n\n\ndef final_option(dict_of_options, back):\n \"\"\"\n adds the final option to the dictionary based on a boolean\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean\n :return: dict_of_options but with a new, final key added in\n \"\"\"\n if back:\n dict_of_options['back'] = return_false\n else:\n dict_of_options['end_process'] = end_process\n return dict_of_options\n\n\ndef basic_menu(dict_of_options, back=False):\n \"\"\"\n basic text based user interface, allows user to select a function to run from a dictionary of options, by using a\n simple numeric code. User will see this dictionaries keys enumerated on screen to choose from.\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean. choose between scrolling back to previous menu or ending the process entirely. defaults to\n ending process since that's how the main menu does it and unsure of where else function will be called\n :return: run the chosen function\n \"\"\"\n choose = True\n dict_of_options = final_option(dict_of_options, back)\n list_of_options = list(dict_of_options.keys())\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n pick = input('\\nType the numeric code you wish to run\\n\\n')\n if pick in [str(i) for i in range(len(dict_of_options))]:\n choose = dict_of_options[list_of_options[int(pick)]]()\n else:\n print('{} is not currently an option!\\n'.format(pick))\n\n\ndef basic_menu_non_functional(list_of_options):\n \"\"\"\n basic text based user interface, allows user to select multiple options from a list of available choices.\n\n :param list_of_options: list of available choices\n :return: a list of chosen strings\n \"\"\"\n choose = True\n list_of_options.append('back')\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n picks = input('\\nType the numeric codes you wish to run\\n\\n').split(','\n )\n choice = []\n if str(len(list_of_options)) in picks:\n return True\n for pick in picks:\n if pick in [str(i) for i in range(len(list_of_options))]:\n choice.append(list_of_options[int(pick)])\n else:\n print('{} is not currently an option!\\n'.format(pick))\n if len(choice) > 0:\n return choice\n\n\ndef select_spiders(spiders_dict):\n \"\"\"\n select from spiders available. allows user to select all spiders, select all spiders within a\n project group, select some comma separated list of individual/groups of spiders, or by prefixing a\n given selection with \"-\", the user can remove a spider from his or her selection.\n\n :param spiders_dict: dictionary who's keys are broad options and values are lists of spiders\n :return: list containing the spiders the user has selected to run\n \"\"\"\n print('Available spiders include:\\n')\n enumerated_keys = list(enumerate(spiders_dict.keys()))\n for key_group in enumerated_keys:\n print('{} - {}'.format(key_group[0], key_group[1]))\n for spider in zip(alphabet_list_length(len(key_group[1])),\n spiders_dict[key_group[1]]):\n print('\\t{}{} - {}'.format(key_group[0], spider[0], spider[1].name)\n )\n print('{} - run all'.format(len(spiders_dict.keys())))\n print('{} - back'.format(len(spiders_dict.keys()) + 1))\n choices = input(\n \"\"\"\nfor multiple, comma separate. To remove, use \"-\" prefix\ni.e.: 0,-0a to run all of group 0 except the first\n\"\"\"\n ).replace(' ', '').split(',')\n if str(len(spiders_dict.keys()) + 1) in choices:\n return False\n if str(len(spiders_dict.keys())) in choices:\n chosen_spiders = list(spiders_dict.values())\n else:\n chosen_spiders = []\n for choice in choices:\n if choice.isdigit():\n if choice in [str(i[0]) for i in enumerated_keys]:\n chosen_spiders.append(spiders_dict[enumerated_keys[int(\n choice)][1]])\n else:\n print('{} is not an option!'.format(choice))\n elif '-' not in choice:\n numeric = re.findall('\\\\d+', choice)\n if len(numeric) == 1:\n alpha = choice.split(numeric[0])[1]\n alpha = len(alphabet_list_length(0, index=alpha)) - 1\n try:\n chosen_spiders.append(spiders_dict[enumerated_keys[\n int(numeric[0])][1]][alpha])\n except IndexError:\n print('{} is not an option!'.format(choice))\n else:\n print('{} is not an option!'.format(choice))\n if any(isinstance(el, list) for el in chosen_spiders):\n chosen_spiders = flatten_list_of_lists(chosen_spiders, make_set=True)\n else:\n chosen_spiders = list(set(chosen_spiders))\n to_remove = [choice for choice in choices if '-' in choice]\n if len(to_remove) > 0:\n for removee in to_remove:\n if removee.replace('-', '').isdigit():\n if removee.replace('-', '') in [str(i[0]) for i in\n enumerated_keys]:\n for spider in spiders_dict[enumerated_keys[int(removee.\n replace('-', ''))][1]]:\n chosen_spiders.remove(spider)\n else:\n print('{} is not an option!'.format(removee))\n else:\n numeric = re.findall('\\\\d+', removee)\n if len(numeric) == 1:\n alpha = removee.split(numeric[0])[1]\n alpha = len(alphabet_list_length(0, index=alpha)) - 1\n try:\n chosen_spiders.remove(spiders_dict[enumerated_keys[\n int(numeric[0])][1]][alpha])\n except IndexError:\n print('{} is not an option!'.format(removee))\n else:\n print('{} is not an option!'.format(removee))\n if len(chosen_spiders) > 0:\n return chosen_spiders\n else:\n print(\"You haven't selected any spiders!\")\n return False\n\n\ndef project_visibility_menu():\n \"\"\"\n creates menu to allow user to set which project groups are visible in the run_scrapers menu\n\n :return: creates a txt file containing the list of desired project names, one per row.\n \"\"\"\n projects = [i.split('.')[0] for i in os.listdir(\n 'HousingPriceScraper/HousingPriceScraper/spiders/SpiderGroups')[:-1]]\n print('Available projects are:\\n')\n for project in enumerate(projects):\n print('\\t{} - {}'.format(project[0], project[1]))\n print('\\t{} - back'.format(len(projects)))\n choices = input(\n '\\nType the options you wish to select.\\nFor multiple, comma separate\\n\\n'\n ).split(',')\n if str(len(projects)) in choices:\n return True\n else:\n choice_list = []\n for choice in choices:\n if choice.isdigit() and int(choice) in range(len(projects)):\n choice_list.append(projects[int(choice)])\n print(\n 'You have selected to display the following spider groupings:\\n\\t{}\\n'\n .format(choice_list))\n save_list_to_txt(choice_list,\n 'HousingPriceScraper/HousingPriceScraper/configs/visible_projects_to_scrape.txt'\n )\n return True\n\n\ndef set_config():\n \"\"\"\n menu to set the url configs.\n\n :return: will set the start_urls of the spiders.\n \"\"\"\n available_configs = open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt'\n , 'r')\n options = available_configs.readlines()\n options_dict = {}\n print('available configs include:\\n')\n for option in enumerate(options):\n options_dict[option[0]] = option[1].split(':')[0]\n print('\\t{} - {}'.format(option[0], option[1].replace('\\n', '')))\n print('\\t{} - back'.format(len(options)))\n chosen = input('\\ncomma separate for multiple\\n').split(',')\n if str(len(options)) in chosen or chosen == ['']:\n return True\n configs = []\n for choice in chosen:\n if int(choice) in options_dict:\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'\n .format(options_dict[int(choice)])) as f:\n configs.append(json.load(f))\n final_config = defaultdict(list)\n for config in configs:\n for key, value in config.items():\n if key in final_config:\n final_config[key] += value\n else:\n final_config[key] = value\n for key, value in final_config.items():\n if any(isinstance(val, list) for val in value):\n final_config[key] = flatten_list_of_lists(value, make_set=True)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n for key, value in default_dict.items():\n if key not in final_config.keys():\n final_config[key] = value\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/chosen_urls.json', 'w'\n ) as fp:\n json.dump(final_config, fp, sort_keys=True, indent=4)\n return True\n\n\ndef append_recent_urls():\n \"\"\"\n function for appending recent scraped urls to default urls json\n\n :return: default.json is updated\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key, value in recent_dict.items():\n default_dict.setdefault(key, []).extend(value)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n , 'w') as fp:\n json.dump(default_dict, fp, sort_keys=True, indent=4)\n\n\ndef replace_default_urls():\n \"\"\"\n function for replacing default urls config with recent scrapes\n\n :return: defaults.json is updated\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n ) as default_urls_json:\n default_dict = json.load(default_urls_json)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key, value in recent_dict.items():\n default_dict[key] = value\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json'\n , 'w') as fp:\n json.dump(default_dict, fp, sort_keys=True, indent=4)\n\n\ndef create_new_config():\n \"\"\"\n function which creates a whole new config file to store recent scraped urls in\n\n :return: new config is created\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n urls_dict = json.load(recent_urls_json)\n config_name = input('Type a name for the new config file:\\n').replace(' ',\n '_').replace(':', '')\n config_desc = input('Type a brief description for the new config file:\\n')\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'\n .format(config_name), 'w') as fp:\n json.dump(urls_dict, fp, sort_keys=True, indent=4)\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt'\n , 'a') as input_descs:\n input_descs.write('\\n{}: {}'.format(config_name, config_desc))\n print('\\nSuccessfully saved recently scraped urls to new config: {}.json'\n .format(config_name))\n\n\ndef clear_recent_urls():\n \"\"\"\n function which bleaches the recent urls config in order to start fresh next time\n\n :return: recent_urls will become an empty dictionary.\n \"\"\"\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n ) as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key in recent_dict.keys():\n recent_dict[key] = []\n with open(\n 'HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json'\n , 'w') as fp:\n json.dump(recent_dict, fp, sort_keys=True, indent=4)\n\n\ndef select_date_interval_menu():\n \"\"\"\n function allows user to inout start and end date to define an interval of dates\n\n :return: list of dates\n \"\"\"\n while True:\n start_date = input(\n '\\nInput desired start date with format dd-mm-yyyy:\\n')\n try:\n start_date = datetime.strptime(start_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid start date selected')\n while True:\n end_date = input(\n \"\"\"\nInput desired start date with format dd-mm-yyyy,\nor hit enter to select todays date\n\"\"\"\n )\n if end_date == '':\n end_date = date.today()\n break\n else:\n try:\n end_date = datetime.strptime(end_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid end date selected')\n list_of_dates = pd.date_range(start_date, end_date, freq='d')\n list_of_dates = [i.strftime('%d%m%Y') for i in list_of_dates]\n return list_of_dates\n",
"step-5": "\"\"\"\ncontains generic code for use in main menus. currently this is a function which turns dictionaries of functions\ninto a menu. I envision any further menu functions being stored here so don't expect it to run like a pipeline but\nrather like a suite of individual menus.\n\nTODO - refactor spider selection function as jesus christ that things fat\n - incorporate spider selector in config manager options\n\"\"\"\nimport re\nimport os\nimport json\nfrom datetime import date, datetime\nfrom collections import defaultdict\nimport pandas as pd\nfrom HousingPriceScraper.HousingPriceScraper.functions.basic_functions import return_false, end_process, \\\n alphabet_list_length, flatten_list_of_lists\nfrom HousingPriceScraper.HousingPriceScraper.functions.data_management import save_list_to_txt\n\n\ndef final_option(dict_of_options, back):\n \"\"\"\n adds the final option to the dictionary based on a boolean\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean\n :return: dict_of_options but with a new, final key added in\n \"\"\"\n if back:\n dict_of_options['back'] = return_false\n else:\n dict_of_options['end_process'] = end_process\n return dict_of_options\n\n\ndef basic_menu(dict_of_options, back=False):\n \"\"\"\n basic text based user interface, allows user to select a function to run from a dictionary of options, by using a\n simple numeric code. User will see this dictionaries keys enumerated on screen to choose from.\n\n :param dict_of_options: dictionary with readable labels as keys and uncalled functions as values. It is important\n that these functions don't require parameters.\n :param back: boolean. choose between scrolling back to previous menu or ending the process entirely. defaults to\n ending process since that's how the main menu does it and unsure of where else function will be called\n :return: run the chosen function\n \"\"\"\n choose = True\n dict_of_options = final_option(dict_of_options, back)\n list_of_options = list(dict_of_options.keys())\n\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n pick = input('\\nType the numeric code you wish to run\\n\\n')\n if pick in [str(i) for i in range((len(dict_of_options)))]:\n choose = dict_of_options[list_of_options[int(pick)]]()\n else:\n print('{} is not currently an option!\\n'.format(pick))\n\n\ndef basic_menu_non_functional(list_of_options):\n \"\"\"\n basic text based user interface, allows user to select multiple options from a list of available choices.\n\n :param list_of_options: list of available choices\n :return: a list of chosen strings\n \"\"\"\n choose = True\n list_of_options.append('back')\n\n while choose:\n print('The following options are available:\\n')\n for option in enumerate(list_of_options):\n print('\\t{} - {}'.format(option[0], option[1]))\n picks = input('\\nType the numeric codes you wish to run\\n\\n').split(',')\n choice = []\n if str(len(list_of_options)) in picks:\n return True\n for pick in picks:\n if pick in [str(i) for i in range((len(list_of_options)))]:\n choice.append(list_of_options[int(pick)])\n else:\n print('{} is not currently an option!\\n'.format(pick))\n if len(choice) > 0:\n return choice\n\n\ndef select_spiders(spiders_dict):\n \"\"\"\n select from spiders available. allows user to select all spiders, select all spiders within a\n project group, select some comma separated list of individual/groups of spiders, or by prefixing a\n given selection with \"-\", the user can remove a spider from his or her selection.\n\n :param spiders_dict: dictionary who's keys are broad options and values are lists of spiders\n :return: list containing the spiders the user has selected to run\n \"\"\"\n print('Available spiders include:\\n')\n enumerated_keys = list(enumerate(spiders_dict.keys()))\n for key_group in enumerated_keys:\n print('{} - {}'.format(key_group[0], key_group[1]))\n for spider in zip(alphabet_list_length(len(key_group[1])), spiders_dict[key_group[1]]):\n print('\\t{}{} - {}'.format(key_group[0], spider[0], spider[1].name))\n print('{} - run all'.format(len(spiders_dict.keys())))\n print('{} - back'.format(len(spiders_dict.keys())+1))\n choices = input('\\nfor multiple, comma separate. To remove, use \"-\" prefix\\ni.e.: 0,-0a to run all of group 0 except the first\\n').replace(' ', '').split(',')\n if str(len(spiders_dict.keys())+1) in choices:\n return False\n if str(len(spiders_dict.keys())) in choices:\n chosen_spiders = list(spiders_dict.values())\n else:\n chosen_spiders = []\n for choice in choices:\n if choice.isdigit():\n if choice in [str(i[0]) for i in enumerated_keys]:\n chosen_spiders.append(spiders_dict[enumerated_keys[int(choice)][1]])\n else:\n print('{} is not an option!'.format(choice))\n elif '-' not in choice:\n numeric = re.findall(r'\\d+', choice)\n if len(numeric) == 1:\n alpha = choice.split(numeric[0])[1]\n alpha = len(alphabet_list_length(0, index=alpha))-1\n try:\n chosen_spiders.append(spiders_dict[enumerated_keys[int(numeric[0])][1]][alpha])\n except IndexError:\n print('{} is not an option!'.format(choice))\n else:\n print('{} is not an option!'.format(choice))\n if any(isinstance(el, list) for el in chosen_spiders):\n chosen_spiders = flatten_list_of_lists(chosen_spiders, make_set=True)\n else:\n chosen_spiders = list(set(chosen_spiders))\n to_remove = [choice for choice in choices if '-' in choice]\n if len(to_remove) > 0:\n for removee in to_remove:\n if removee.replace('-', '').isdigit():\n if removee.replace('-', '') in [str(i[0]) for i in enumerated_keys]:\n for spider in spiders_dict[enumerated_keys[int(removee.replace('-', ''))][1]]:\n chosen_spiders.remove(spider)\n else:\n print('{} is not an option!'.format(removee))\n else:\n numeric = re.findall(r'\\d+', removee)\n if len(numeric) == 1:\n alpha = removee.split(numeric[0])[1]\n alpha = len(alphabet_list_length(0, index=alpha)) - 1\n try:\n chosen_spiders.remove(spiders_dict[enumerated_keys[int(numeric[0])][1]][alpha])\n except IndexError:\n print('{} is not an option!'.format(removee))\n else:\n print('{} is not an option!'.format(removee))\n if len(chosen_spiders) > 0:\n return chosen_spiders\n else:\n print(\"You haven't selected any spiders!\")\n return False\n\n\ndef project_visibility_menu():\n \"\"\"\n creates menu to allow user to set which project groups are visible in the run_scrapers menu\n\n :return: creates a txt file containing the list of desired project names, one per row.\n \"\"\"\n projects = [i.split('.')[0] for i in os.listdir('HousingPriceScraper/HousingPriceScraper/spiders/SpiderGroups')[:-1]]\n print('Available projects are:\\n')\n for project in enumerate(projects):\n print('\\t{} - {}'.format(project[0], project[1]))\n print('\\t{} - back'.format(len(projects)))\n choices = input('\\nType the options you wish to select.\\nFor multiple, comma separate\\n\\n').split(',')\n if str(len(projects)) in choices:\n return True\n else:\n choice_list = []\n for choice in choices:\n if choice.isdigit() and int(choice) in range(len(projects)):\n choice_list.append(projects[int(choice)])\n print('You have selected to display the following spider groupings:\\n\\t{}\\n'.format(choice_list))\n save_list_to_txt(choice_list, 'HousingPriceScraper/HousingPriceScraper/configs/visible_projects_to_scrape.txt')\n return True\n\n\ndef set_config():\n \"\"\"\n menu to set the url configs.\n\n :return: will set the start_urls of the spiders.\n \"\"\"\n available_configs = open('HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt', 'r')\n options = available_configs.readlines()\n options_dict = {}\n print('available configs include:\\n')\n for option in enumerate(options):\n options_dict[option[0]] = option[1].split(':')[0]\n print('\\t{} - {}'.format(option[0], option[1].replace('\\n', '')))\n print('\\t{} - back'.format(len(options)))\n chosen = input('\\ncomma separate for multiple\\n').split(',')\n if (str(len(options)) in chosen) or (chosen == ['']):\n return True\n configs = []\n for choice in chosen:\n if int(choice) in options_dict:\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'.format(options_dict[int(choice)])) as f:\n configs.append(json.load(f))\n final_config = defaultdict(list)\n for config in configs:\n for key, value in config.items():\n if key in final_config:\n final_config[key] += value\n else:\n final_config[key] = value\n for key, value in final_config.items():\n if any(isinstance(val, list) for val in value):\n final_config[key] = flatten_list_of_lists(value, make_set=True)\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json') as default_urls_json:\n default_dict = json.load(default_urls_json)\n for key, value in default_dict.items():\n if key not in final_config.keys():\n final_config[key] = value\n with open('HousingPriceScraper/HousingPriceScraper/configs/chosen_urls.json', 'w') as fp:\n json.dump(final_config, fp, sort_keys=True, indent=4)\n return True\n\n\ndef append_recent_urls():\n \"\"\"\n function for appending recent scraped urls to default urls json\n\n :return: default.json is updated\n \"\"\"\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json') as default_urls_json:\n default_dict = json.load(default_urls_json)\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json') as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key, value in recent_dict.items():\n default_dict.setdefault(key, []).extend(value)\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json', 'w') as fp:\n json.dump(default_dict, fp, sort_keys=True, indent=4)\n\n\ndef replace_default_urls():\n \"\"\"\n function for replacing default urls config with recent scrapes\n\n :return: defaults.json is updated\n \"\"\"\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json') as default_urls_json:\n default_dict = json.load(default_urls_json)\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json') as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key, value in recent_dict.items():\n default_dict[key] = value\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/defaults.json', 'w') as fp:\n json.dump(default_dict, fp, sort_keys=True, indent=4)\n\n\ndef create_new_config():\n \"\"\"\n function which creates a whole new config file to store recent scraped urls in\n\n :return: new config is created\n \"\"\"\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json') as recent_urls_json:\n urls_dict = json.load(recent_urls_json)\n config_name = input('Type a name for the new config file:\\n').replace(' ', '_').replace(':', '')\n config_desc = input('Type a brief description for the new config file:\\n')\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/{}.json'.format(config_name), 'w') as fp:\n json.dump(urls_dict, fp, sort_keys=True, indent=4)\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_url_config_descriptions.txt', 'a') as input_descs:\n input_descs.write('\\n{}: {}'.format(config_name, config_desc))\n print('\\nSuccessfully saved recently scraped urls to new config: {}.json'.format(config_name))\n\n\ndef clear_recent_urls():\n \"\"\"\n function which bleaches the recent urls config in order to start fresh next time\n\n :return: recent_urls will become an empty dictionary.\n \"\"\"\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json') as recent_urls_json:\n recent_dict = json.load(recent_urls_json)\n for key in recent_dict.keys():\n recent_dict[key] = []\n with open('HousingPriceScraper/HousingPriceScraper/configs/input_urls/recent_urls.json', 'w') as fp:\n json.dump(recent_dict, fp, sort_keys=True, indent=4)\n\n\ndef select_date_interval_menu():\n \"\"\"\n function allows user to inout start and end date to define an interval of dates\n\n :return: list of dates\n \"\"\"\n while True:\n start_date = input('\\nInput desired start date with format dd-mm-yyyy:\\n')\n try:\n start_date = datetime.strptime(start_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid start date selected')\n while True:\n end_date = input('\\nInput desired start date with format dd-mm-yyyy,\\nor hit enter to select todays date\\n')\n if end_date == '':\n end_date = date.today()\n break\n else:\n try:\n end_date = datetime.strptime(end_date, '%d-%m-%Y')\n break\n except ValueError:\n print('invalid end date selected')\n list_of_dates = pd.date_range(start_date, end_date, freq='d')\n list_of_dates = [i.strftime('%d%m%Y') for i in list_of_dates]\n return list_of_dates\n",
"step-ids": [
8,
10,
11,
12,
13
]
}
|
[
8,
10,
11,
12,
13
] |
<|reserved_special_token_0|>
class Post(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __str__(self):
return self.title
class User(models.Model):
id = models.CharField(max_length=30, primary_key='true')
password = models.CharField(max_length=50)
reg_date = models.DateField(default=timezone.now)
upt_date = models.DateField(default=timezone.now)
last_pwd = models.CharField(max_length=50)
def chg_password(self):
self.last_pwd = self.password
self.save()
def __id__(self):
return self.id
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Post(models.Model):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def publish(self):
self.published_date = timezone.now()
self.save()
def __str__(self):
return self.title
class User(models.Model):
id = models.CharField(max_length=30, primary_key='true')
password = models.CharField(max_length=50)
reg_date = models.DateField(default=timezone.now)
upt_date = models.DateField(default=timezone.now)
last_pwd = models.CharField(max_length=50)
def chg_password(self):
self.last_pwd = self.password
self.save()
def __id__(self):
return self.id
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Post(models.Model):
author = models.ForeignKey('auth.User')
title = models.CharField(max_length=200)
text = models.TextField()
created_date = models.DateTimeField(default=timezone.now)
published_date = models.DateTimeField(blank=True, null=True)
def publish(self):
self.published_date = timezone.now()
self.save()
def __str__(self):
return self.title
class User(models.Model):
id = models.CharField(max_length=30, primary_key='true')
password = models.CharField(max_length=50)
reg_date = models.DateField(default=timezone.now)
upt_date = models.DateField(default=timezone.now)
last_pwd = models.CharField(max_length=50)
def chg_password(self):
self.last_pwd = self.password
self.save()
def __id__(self):
return self.id
<|reserved_special_token_1|>
from django.db import models
from django.utils import timezone
class Post(models.Model):
author = models.ForeignKey('auth.User')
title = models.CharField(max_length=200)
text = models.TextField()
created_date = models.DateTimeField(default=timezone.now)
published_date = models.DateTimeField(blank=True, null=True)
def publish(self):
self.published_date = timezone.now()
self.save()
def __str__(self):
return self.title
class User(models.Model):
id = models.CharField(max_length=30, primary_key='true')
password = models.CharField(max_length=50)
reg_date = models.DateField(default=timezone.now)
upt_date = models.DateField(default=timezone.now)
last_pwd = models.CharField(max_length=50)
def chg_password(self):
self.last_pwd = self.password
self.save()
def __id__(self):
return self.id
<|reserved_special_token_1|>
from django.db import models # db에 있는 models을 가져옴
from django.utils import timezone # 유틸에 있는 timezone을 가져옴
# Create your models here.
class Post(models.Model):
# Post라는 객체를 정의함 인수로 장고모델을 가져왔음
# 장고모델이기 때문에 데이터베이스에 저장된다.
author = models.ForeignKey('auth.User') # 외래키, 다른 객체에 대한 링크
title = models.CharField(max_length=200) # 글자수 제한
text = models.TextField() # 글자수제한없음
created_date = models.DateTimeField(default=timezone.now) # Date형식
published_date = models.DateTimeField(blank=True, null=True)
def publish(self): # 파이썬의 메소드
self.published_date = timezone.now()
self.save()
def __str__(self):
return self.title
class User(models.Model):
id = models.CharField(max_length=30, primary_key='true')
password = models.CharField(max_length=50)
reg_date = models.DateField(default=timezone.now)
upt_date = models.DateField(default=timezone.now)
last_pwd = models.CharField(max_length=50)
def chg_password(self):
self.last_pwd = self.password
self.save()
def __id__(self):
return self.id
|
flexible
|
{
"blob_id": "3aa8c9b39174f0ed5799d6991516b34ca669b7d6",
"index": 9765,
"step-1": "<mask token>\n\n\nclass Post(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def __str__(self):\n return self.title\n\n\nclass User(models.Model):\n id = models.CharField(max_length=30, primary_key='true')\n password = models.CharField(max_length=50)\n reg_date = models.DateField(default=timezone.now)\n upt_date = models.DateField(default=timezone.now)\n last_pwd = models.CharField(max_length=50)\n\n def chg_password(self):\n self.last_pwd = self.password\n self.save()\n\n def __id__(self):\n return self.id\n",
"step-2": "<mask token>\n\n\nclass Post(models.Model):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def publish(self):\n self.published_date = timezone.now()\n self.save()\n\n def __str__(self):\n return self.title\n\n\nclass User(models.Model):\n id = models.CharField(max_length=30, primary_key='true')\n password = models.CharField(max_length=50)\n reg_date = models.DateField(default=timezone.now)\n upt_date = models.DateField(default=timezone.now)\n last_pwd = models.CharField(max_length=50)\n\n def chg_password(self):\n self.last_pwd = self.password\n self.save()\n\n def __id__(self):\n return self.id\n",
"step-3": "<mask token>\n\n\nclass Post(models.Model):\n author = models.ForeignKey('auth.User')\n title = models.CharField(max_length=200)\n text = models.TextField()\n created_date = models.DateTimeField(default=timezone.now)\n published_date = models.DateTimeField(blank=True, null=True)\n\n def publish(self):\n self.published_date = timezone.now()\n self.save()\n\n def __str__(self):\n return self.title\n\n\nclass User(models.Model):\n id = models.CharField(max_length=30, primary_key='true')\n password = models.CharField(max_length=50)\n reg_date = models.DateField(default=timezone.now)\n upt_date = models.DateField(default=timezone.now)\n last_pwd = models.CharField(max_length=50)\n\n def chg_password(self):\n self.last_pwd = self.password\n self.save()\n\n def __id__(self):\n return self.id\n",
"step-4": "from django.db import models\nfrom django.utils import timezone\n\n\nclass Post(models.Model):\n author = models.ForeignKey('auth.User')\n title = models.CharField(max_length=200)\n text = models.TextField()\n created_date = models.DateTimeField(default=timezone.now)\n published_date = models.DateTimeField(blank=True, null=True)\n\n def publish(self):\n self.published_date = timezone.now()\n self.save()\n\n def __str__(self):\n return self.title\n\n\nclass User(models.Model):\n id = models.CharField(max_length=30, primary_key='true')\n password = models.CharField(max_length=50)\n reg_date = models.DateField(default=timezone.now)\n upt_date = models.DateField(default=timezone.now)\n last_pwd = models.CharField(max_length=50)\n\n def chg_password(self):\n self.last_pwd = self.password\n self.save()\n\n def __id__(self):\n return self.id\n",
"step-5": "from django.db import models # db에 있는 models을 가져옴\nfrom django.utils import timezone # 유틸에 있는 timezone을 가져옴\n\n\n# Create your models here.\n\nclass Post(models.Model):\n # Post라는 객체를 정의함 인수로 장고모델을 가져왔음\n # 장고모델이기 때문에 데이터베이스에 저장된다.\n author = models.ForeignKey('auth.User') # 외래키, 다른 객체에 대한 링크\n title = models.CharField(max_length=200) # 글자수 제한\n text = models.TextField() # 글자수제한없음\n created_date = models.DateTimeField(default=timezone.now) # Date형식\n published_date = models.DateTimeField(blank=True, null=True)\n\n def publish(self): # 파이썬의 메소드\n self.published_date = timezone.now()\n self.save()\n\n def __str__(self):\n return self.title\n\n\nclass User(models.Model):\n id = models.CharField(max_length=30, primary_key='true')\n password = models.CharField(max_length=50)\n reg_date = models.DateField(default=timezone.now)\n upt_date = models.DateField(default=timezone.now)\n last_pwd = models.CharField(max_length=50)\n\n def chg_password(self):\n self.last_pwd = self.password\n self.save()\n\n def __id__(self):\n return self.id\n\n",
"step-ids": [
6,
7,
8,
9,
10
]
}
|
[
6,
7,
8,
9,
10
] |
<|reserved_special_token_0|>
class Button:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def read_button(self):
self.status = GPIO.input(self.button_pin)
def light(self, stat):
if stat:
GPIO.output(self.LED_pin, 1)
else:
GPIO.output(self.LED_pin, 0)
def cleanup(self):
GPIO.cleanup()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Button:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def __init__(self):
self.status = True
GPIO.setmode(GPIO.BCM)
GPIO.setup(self.LED_pin, GPIO.OUT)
self.status = get_button(self.button_pin)
def read_button(self):
self.status = GPIO.input(self.button_pin)
def light(self, stat):
if stat:
GPIO.output(self.LED_pin, 1)
else:
GPIO.output(self.LED_pin, 0)
def cleanup(self):
GPIO.cleanup()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Button:
status = bool()
LED_pin = 25
button_pin = 23
def __init__(self):
self.status = True
GPIO.setmode(GPIO.BCM)
GPIO.setup(self.LED_pin, GPIO.OUT)
self.status = get_button(self.button_pin)
def read_button(self):
self.status = GPIO.input(self.button_pin)
def light(self, stat):
if stat:
GPIO.output(self.LED_pin, 1)
else:
GPIO.output(self.LED_pin, 0)
def cleanup(self):
GPIO.cleanup()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
import RPi.GPIO as GPIO
from aiy.voicehat import *
class Button:
status = bool()
LED_pin = 25
button_pin = 23
def __init__(self):
self.status = True
GPIO.setmode(GPIO.BCM)
GPIO.setup(self.LED_pin, GPIO.OUT)
self.status = get_button(self.button_pin)
def read_button(self):
self.status = GPIO.input(self.button_pin)
def light(self, stat):
if stat:
GPIO.output(self.LED_pin, 1)
else:
GPIO.output(self.LED_pin, 0)
def cleanup(self):
GPIO.cleanup()
<|reserved_special_token_1|>
'''
This module is used for handling the button.
'''
import RPi.GPIO as GPIO
from aiy.voicehat import *
class Button:
status = bool() #status indicates whether it is supposed to be on or off.
LED_pin = 25 #Pin for the LED in the button in the Google AIY kit.
button_pin = 23#The button is handled through the Google AIY lib because that one might actually work.
def __init__(self):
self.status = True
GPIO.setmode(GPIO.BCM)
GPIO.setup(self.LED_pin , GPIO.OUT)
self.status = get_button(self.button_pin)
def read_button(self):
self.status = GPIO.input(self.button_pin)
#Turns on the button light as prompted
def light(self, stat):
if (stat):
GPIO.output(self.LED_pin, 1)
else:
GPIO.output(self.LED_pin, 0)
def cleanup(self):
GPIO.cleanup()
|
flexible
|
{
"blob_id": "878937e19d6a48a0d44309efbac1d41c208ce849",
"index": 6195,
"step-1": "<mask token>\n\n\nclass Button:\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def read_button(self):\n self.status = GPIO.input(self.button_pin)\n\n def light(self, stat):\n if stat:\n GPIO.output(self.LED_pin, 1)\n else:\n GPIO.output(self.LED_pin, 0)\n\n def cleanup(self):\n GPIO.cleanup()\n",
"step-2": "<mask token>\n\n\nclass Button:\n <mask token>\n <mask token>\n <mask token>\n\n def __init__(self):\n self.status = True\n GPIO.setmode(GPIO.BCM)\n GPIO.setup(self.LED_pin, GPIO.OUT)\n self.status = get_button(self.button_pin)\n\n def read_button(self):\n self.status = GPIO.input(self.button_pin)\n\n def light(self, stat):\n if stat:\n GPIO.output(self.LED_pin, 1)\n else:\n GPIO.output(self.LED_pin, 0)\n\n def cleanup(self):\n GPIO.cleanup()\n",
"step-3": "<mask token>\n\n\nclass Button:\n status = bool()\n LED_pin = 25\n button_pin = 23\n\n def __init__(self):\n self.status = True\n GPIO.setmode(GPIO.BCM)\n GPIO.setup(self.LED_pin, GPIO.OUT)\n self.status = get_button(self.button_pin)\n\n def read_button(self):\n self.status = GPIO.input(self.button_pin)\n\n def light(self, stat):\n if stat:\n GPIO.output(self.LED_pin, 1)\n else:\n GPIO.output(self.LED_pin, 0)\n\n def cleanup(self):\n GPIO.cleanup()\n",
"step-4": "<mask token>\nimport RPi.GPIO as GPIO\nfrom aiy.voicehat import *\n\n\nclass Button:\n status = bool()\n LED_pin = 25\n button_pin = 23\n\n def __init__(self):\n self.status = True\n GPIO.setmode(GPIO.BCM)\n GPIO.setup(self.LED_pin, GPIO.OUT)\n self.status = get_button(self.button_pin)\n\n def read_button(self):\n self.status = GPIO.input(self.button_pin)\n\n def light(self, stat):\n if stat:\n GPIO.output(self.LED_pin, 1)\n else:\n GPIO.output(self.LED_pin, 0)\n\n def cleanup(self):\n GPIO.cleanup()\n",
"step-5": "'''\nThis module is used for handling the button. \n'''\nimport RPi.GPIO as GPIO\nfrom aiy.voicehat import *\n\nclass Button:\n status = bool() #status indicates whether it is supposed to be on or off. \n LED_pin = 25 #Pin for the LED in the button in the Google AIY kit. \n button_pin = 23#The button is handled through the Google AIY lib because that one might actually work. \n \n def __init__(self):\n self.status = True\n GPIO.setmode(GPIO.BCM)\n GPIO.setup(self.LED_pin , GPIO.OUT)\n self.status = get_button(self.button_pin)\n \n def read_button(self):\n self.status = GPIO.input(self.button_pin)\n \n #Turns on the button light as prompted\n def light(self, stat):\n if (stat):\n GPIO.output(self.LED_pin, 1)\n else:\n GPIO.output(self.LED_pin, 0)\n \n def cleanup(self):\n GPIO.cleanup()",
"step-ids": [
4,
5,
6,
7,
8
]
}
|
[
4,
5,
6,
7,
8
] |
import os
from flask import Flask, request, redirect, url_for, render_template, send_from_directory
from werkzeug.utils import secure_filename
import chardet as chardet
import pandas as pd
UPLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/uploads/'
DOWNLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/downloads/'
ALLOWED_EXTENSIONS = {'csv', 'txt'}
app = Flask(__name__, static_url_path="/static")
DIR_PATH = os.path.dirname(os.path.realpath(__file__))
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
app.config['DOWNLOAD_FOLDER'] = DOWNLOAD_FOLDER
# limit upload size upto 8mb
app.config['MAX_CONTENT_LENGTH'] = 8 * 1024 * 1024
def allowed_file(filename):
return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
@app.route('/', methods=['GET', 'POST'])
def index():
if request.method == 'POST':
if 'file' not in request.files:
print('No file attached in request')
return redirect(request.url)
file = request.files['file']
if file.filename == '':
print('No file selected')
return redirect(request.url)
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
process_file(os.path.join(app.config['UPLOAD_FOLDER'], filename), filename)
return redirect(url_for('uploaded_file', filename=filename))
return render_template('index.html')
def process_file(path, filename):
check_encoding(path, filename)
# with open(path, 'a') as f:
# f.write("\nAdded processed content")
def check_encoding(path, filename):
with open(path, 'rb') as rawdata:
result = chardet.detect(rawdata.read(10000))
df = pd.read_csv(path, encoding=result['encoding'])
GFG = pd.ExcelWriter(app.config['DOWNLOAD_FOLDER'] + filename.rsplit('.', 1)[0] + '.xlsx')
df.to_excel(GFG, index=False, encoding='utf-8')
#output_stream = open(app.config['DOWNLOAD_FOLDER'] + 'output.xlsx', 'wb')
#GFG.write(output_stream)
GFG.save()
@app.route('/uploads/<filename>')
def uploaded_file(filename):
return send_from_directory(app.config['DOWNLOAD_FOLDER'], filename.rsplit('.', 1)[0] + '.xlsx', as_attachment=True)
if __name__ == '__main__':
port = int(os.environ.get("PORT", 5000))
app.run(host='0.0.0.0', port=port)
|
normal
|
{
"blob_id": "eb17de8828a600832253c4cfeeb91503b6876dd7",
"index": 9963,
"step-1": "<mask token>\n\n\ndef allowed_file(filename):\n return '.' in filename and filename.rsplit('.', 1)[1].lower(\n ) in ALLOWED_EXTENSIONS\n\n\n@app.route('/', methods=['GET', 'POST'])\ndef index():\n if request.method == 'POST':\n if 'file' not in request.files:\n print('No file attached in request')\n return redirect(request.url)\n file = request.files['file']\n if file.filename == '':\n print('No file selected')\n return redirect(request.url)\n if file and allowed_file(file.filename):\n filename = secure_filename(file.filename)\n file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))\n process_file(os.path.join(app.config['UPLOAD_FOLDER'], filename\n ), filename)\n return redirect(url_for('uploaded_file', filename=filename))\n return render_template('index.html')\n\n\ndef process_file(path, filename):\n check_encoding(path, filename)\n\n\ndef check_encoding(path, filename):\n with open(path, 'rb') as rawdata:\n result = chardet.detect(rawdata.read(10000))\n df = pd.read_csv(path, encoding=result['encoding'])\n GFG = pd.ExcelWriter(app.config['DOWNLOAD_FOLDER'] + filename.rsplit(\n '.', 1)[0] + '.xlsx')\n df.to_excel(GFG, index=False, encoding='utf-8')\n GFG.save()\n\n\n@app.route('/uploads/<filename>')\ndef uploaded_file(filename):\n return send_from_directory(app.config['DOWNLOAD_FOLDER'], filename.\n rsplit('.', 1)[0] + '.xlsx', as_attachment=True)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef allowed_file(filename):\n return '.' in filename and filename.rsplit('.', 1)[1].lower(\n ) in ALLOWED_EXTENSIONS\n\n\n@app.route('/', methods=['GET', 'POST'])\ndef index():\n if request.method == 'POST':\n if 'file' not in request.files:\n print('No file attached in request')\n return redirect(request.url)\n file = request.files['file']\n if file.filename == '':\n print('No file selected')\n return redirect(request.url)\n if file and allowed_file(file.filename):\n filename = secure_filename(file.filename)\n file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))\n process_file(os.path.join(app.config['UPLOAD_FOLDER'], filename\n ), filename)\n return redirect(url_for('uploaded_file', filename=filename))\n return render_template('index.html')\n\n\ndef process_file(path, filename):\n check_encoding(path, filename)\n\n\ndef check_encoding(path, filename):\n with open(path, 'rb') as rawdata:\n result = chardet.detect(rawdata.read(10000))\n df = pd.read_csv(path, encoding=result['encoding'])\n GFG = pd.ExcelWriter(app.config['DOWNLOAD_FOLDER'] + filename.rsplit(\n '.', 1)[0] + '.xlsx')\n df.to_excel(GFG, index=False, encoding='utf-8')\n GFG.save()\n\n\n@app.route('/uploads/<filename>')\ndef uploaded_file(filename):\n return send_from_directory(app.config['DOWNLOAD_FOLDER'], filename.\n rsplit('.', 1)[0] + '.xlsx', as_attachment=True)\n\n\nif __name__ == '__main__':\n port = int(os.environ.get('PORT', 5000))\n app.run(host='0.0.0.0', port=port)\n",
"step-3": "<mask token>\nUPLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/uploads/'\nDOWNLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/downloads/'\nALLOWED_EXTENSIONS = {'csv', 'txt'}\napp = Flask(__name__, static_url_path='/static')\nDIR_PATH = os.path.dirname(os.path.realpath(__file__))\napp.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER\napp.config['DOWNLOAD_FOLDER'] = DOWNLOAD_FOLDER\napp.config['MAX_CONTENT_LENGTH'] = 8 * 1024 * 1024\n\n\ndef allowed_file(filename):\n return '.' in filename and filename.rsplit('.', 1)[1].lower(\n ) in ALLOWED_EXTENSIONS\n\n\n@app.route('/', methods=['GET', 'POST'])\ndef index():\n if request.method == 'POST':\n if 'file' not in request.files:\n print('No file attached in request')\n return redirect(request.url)\n file = request.files['file']\n if file.filename == '':\n print('No file selected')\n return redirect(request.url)\n if file and allowed_file(file.filename):\n filename = secure_filename(file.filename)\n file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))\n process_file(os.path.join(app.config['UPLOAD_FOLDER'], filename\n ), filename)\n return redirect(url_for('uploaded_file', filename=filename))\n return render_template('index.html')\n\n\ndef process_file(path, filename):\n check_encoding(path, filename)\n\n\ndef check_encoding(path, filename):\n with open(path, 'rb') as rawdata:\n result = chardet.detect(rawdata.read(10000))\n df = pd.read_csv(path, encoding=result['encoding'])\n GFG = pd.ExcelWriter(app.config['DOWNLOAD_FOLDER'] + filename.rsplit(\n '.', 1)[0] + '.xlsx')\n df.to_excel(GFG, index=False, encoding='utf-8')\n GFG.save()\n\n\n@app.route('/uploads/<filename>')\ndef uploaded_file(filename):\n return send_from_directory(app.config['DOWNLOAD_FOLDER'], filename.\n rsplit('.', 1)[0] + '.xlsx', as_attachment=True)\n\n\nif __name__ == '__main__':\n port = int(os.environ.get('PORT', 5000))\n app.run(host='0.0.0.0', port=port)\n",
"step-4": "import os\nfrom flask import Flask, request, redirect, url_for, render_template, send_from_directory\nfrom werkzeug.utils import secure_filename\nimport chardet as chardet\nimport pandas as pd\nUPLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/uploads/'\nDOWNLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/downloads/'\nALLOWED_EXTENSIONS = {'csv', 'txt'}\napp = Flask(__name__, static_url_path='/static')\nDIR_PATH = os.path.dirname(os.path.realpath(__file__))\napp.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER\napp.config['DOWNLOAD_FOLDER'] = DOWNLOAD_FOLDER\napp.config['MAX_CONTENT_LENGTH'] = 8 * 1024 * 1024\n\n\ndef allowed_file(filename):\n return '.' in filename and filename.rsplit('.', 1)[1].lower(\n ) in ALLOWED_EXTENSIONS\n\n\n@app.route('/', methods=['GET', 'POST'])\ndef index():\n if request.method == 'POST':\n if 'file' not in request.files:\n print('No file attached in request')\n return redirect(request.url)\n file = request.files['file']\n if file.filename == '':\n print('No file selected')\n return redirect(request.url)\n if file and allowed_file(file.filename):\n filename = secure_filename(file.filename)\n file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))\n process_file(os.path.join(app.config['UPLOAD_FOLDER'], filename\n ), filename)\n return redirect(url_for('uploaded_file', filename=filename))\n return render_template('index.html')\n\n\ndef process_file(path, filename):\n check_encoding(path, filename)\n\n\ndef check_encoding(path, filename):\n with open(path, 'rb') as rawdata:\n result = chardet.detect(rawdata.read(10000))\n df = pd.read_csv(path, encoding=result['encoding'])\n GFG = pd.ExcelWriter(app.config['DOWNLOAD_FOLDER'] + filename.rsplit(\n '.', 1)[0] + '.xlsx')\n df.to_excel(GFG, index=False, encoding='utf-8')\n GFG.save()\n\n\n@app.route('/uploads/<filename>')\ndef uploaded_file(filename):\n return send_from_directory(app.config['DOWNLOAD_FOLDER'], filename.\n rsplit('.', 1)[0] + '.xlsx', as_attachment=True)\n\n\nif __name__ == '__main__':\n port = int(os.environ.get('PORT', 5000))\n app.run(host='0.0.0.0', port=port)\n",
"step-5": "import os\nfrom flask import Flask, request, redirect, url_for, render_template, send_from_directory\nfrom werkzeug.utils import secure_filename\nimport chardet as chardet\nimport pandas as pd\n\nUPLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/uploads/'\nDOWNLOAD_FOLDER = os.path.dirname(os.path.abspath(__file__)) + '/downloads/'\nALLOWED_EXTENSIONS = {'csv', 'txt'}\n\napp = Flask(__name__, static_url_path=\"/static\")\nDIR_PATH = os.path.dirname(os.path.realpath(__file__))\napp.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER\napp.config['DOWNLOAD_FOLDER'] = DOWNLOAD_FOLDER\n# limit upload size upto 8mb\napp.config['MAX_CONTENT_LENGTH'] = 8 * 1024 * 1024\n\n\ndef allowed_file(filename):\n return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS\n\n\n@app.route('/', methods=['GET', 'POST'])\ndef index():\n if request.method == 'POST':\n if 'file' not in request.files:\n print('No file attached in request')\n return redirect(request.url)\n file = request.files['file']\n if file.filename == '':\n print('No file selected')\n return redirect(request.url)\n if file and allowed_file(file.filename):\n filename = secure_filename(file.filename)\n file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))\n process_file(os.path.join(app.config['UPLOAD_FOLDER'], filename), filename)\n return redirect(url_for('uploaded_file', filename=filename))\n return render_template('index.html')\n\n\ndef process_file(path, filename):\n check_encoding(path, filename)\n # with open(path, 'a') as f:\n # f.write(\"\\nAdded processed content\")\n\n\ndef check_encoding(path, filename):\n with open(path, 'rb') as rawdata:\n result = chardet.detect(rawdata.read(10000))\n df = pd.read_csv(path, encoding=result['encoding'])\n GFG = pd.ExcelWriter(app.config['DOWNLOAD_FOLDER'] + filename.rsplit('.', 1)[0] + '.xlsx')\n df.to_excel(GFG, index=False, encoding='utf-8')\n #output_stream = open(app.config['DOWNLOAD_FOLDER'] + 'output.xlsx', 'wb')\n #GFG.write(output_stream)\n GFG.save()\n\n \n\n@app.route('/uploads/<filename>')\ndef uploaded_file(filename):\n return send_from_directory(app.config['DOWNLOAD_FOLDER'], filename.rsplit('.', 1)[0] + '.xlsx', as_attachment=True)\n\n\nif __name__ == '__main__':\n port = int(os.environ.get(\"PORT\", 5000))\n app.run(host='0.0.0.0', port=port)",
"step-ids": [
5,
6,
7,
8,
9
]
}
|
[
5,
6,
7,
8,
9
] |
<|reserved_special_token_0|>
class SQLiteConnection(ConnectionBackend):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
async def connect(self):
self.db = await aiosqlite.connect(self.db_name)
self.db.row_factory = aiosqlite.Row
async def disconnect(self):
await self.db.close()
async def execute(self, query: Query):
q = self._compile(query)
await self.db.execute(q['query'], q['values'])
async def fetch(self, query: Query) ->Dict[str, Any]:
q = self._compile(query)
cursor = await self.db.execute(q['query'], q['values'])
res = await cursor.fetchone()
await cursor.close()
return dict(res)
async def fetch_all(self, query: Query) ->List[Dict[str, Any]]:
q = self._compile(query)
cursor = await self.db.execute(q['query'], q['values'])
res = await cursor.fetchall()
await cursor.close()
return [dict(r) for r in res]
def transaction(self) ->'TransactionBackend':
return SQLiteTransaction(self)
class SQLiteTransaction(TransactionBackend):
async def start(self):
return
async def commit(self):
await self._connection.database.commit()
async def rollback(self):
await self._connection.database.rollback()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SQLiteConnection(ConnectionBackend):
<|reserved_special_token_0|>
@staticmethod
def _compile(query: Query) ->dict:
q = query.statement
v = []
if query.placeholders:
for p in query.placeholders:
v.append(query.values[p.replace('$', '')])
q = re.sub(f'\\{p}', '?', q)
return {'query': q, 'values': v}
async def connect(self):
self.db = await aiosqlite.connect(self.db_name)
self.db.row_factory = aiosqlite.Row
async def disconnect(self):
await self.db.close()
async def execute(self, query: Query):
q = self._compile(query)
await self.db.execute(q['query'], q['values'])
async def fetch(self, query: Query) ->Dict[str, Any]:
q = self._compile(query)
cursor = await self.db.execute(q['query'], q['values'])
res = await cursor.fetchone()
await cursor.close()
return dict(res)
async def fetch_all(self, query: Query) ->List[Dict[str, Any]]:
q = self._compile(query)
cursor = await self.db.execute(q['query'], q['values'])
res = await cursor.fetchall()
await cursor.close()
return [dict(r) for r in res]
def transaction(self) ->'TransactionBackend':
return SQLiteTransaction(self)
class SQLiteTransaction(TransactionBackend):
async def start(self):
return
async def commit(self):
await self._connection.database.commit()
async def rollback(self):
await self._connection.database.rollback()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class SQLiteConnection(ConnectionBackend):
_dialect = 'sqlite'
@staticmethod
def _compile(query: Query) ->dict:
q = query.statement
v = []
if query.placeholders:
for p in query.placeholders:
v.append(query.values[p.replace('$', '')])
q = re.sub(f'\\{p}', '?', q)
return {'query': q, 'values': v}
async def connect(self):
self.db = await aiosqlite.connect(self.db_name)
self.db.row_factory = aiosqlite.Row
async def disconnect(self):
await self.db.close()
async def execute(self, query: Query):
q = self._compile(query)
await self.db.execute(q['query'], q['values'])
async def fetch(self, query: Query) ->Dict[str, Any]:
q = self._compile(query)
cursor = await self.db.execute(q['query'], q['values'])
res = await cursor.fetchone()
await cursor.close()
return dict(res)
async def fetch_all(self, query: Query) ->List[Dict[str, Any]]:
q = self._compile(query)
cursor = await self.db.execute(q['query'], q['values'])
res = await cursor.fetchall()
await cursor.close()
return [dict(r) for r in res]
def transaction(self) ->'TransactionBackend':
return SQLiteTransaction(self)
class SQLiteTransaction(TransactionBackend):
async def start(self):
return
async def commit(self):
await self._connection.database.commit()
async def rollback(self):
await self._connection.database.rollback()
<|reserved_special_token_1|>
import re
from typing import Any, Dict, List
import aiosqlite
from migri.elements import Query
from migri.interfaces import ConnectionBackend, TransactionBackend
class SQLiteConnection(ConnectionBackend):
_dialect = 'sqlite'
@staticmethod
def _compile(query: Query) ->dict:
q = query.statement
v = []
if query.placeholders:
for p in query.placeholders:
v.append(query.values[p.replace('$', '')])
q = re.sub(f'\\{p}', '?', q)
return {'query': q, 'values': v}
async def connect(self):
self.db = await aiosqlite.connect(self.db_name)
self.db.row_factory = aiosqlite.Row
async def disconnect(self):
await self.db.close()
async def execute(self, query: Query):
q = self._compile(query)
await self.db.execute(q['query'], q['values'])
async def fetch(self, query: Query) ->Dict[str, Any]:
q = self._compile(query)
cursor = await self.db.execute(q['query'], q['values'])
res = await cursor.fetchone()
await cursor.close()
return dict(res)
async def fetch_all(self, query: Query) ->List[Dict[str, Any]]:
q = self._compile(query)
cursor = await self.db.execute(q['query'], q['values'])
res = await cursor.fetchall()
await cursor.close()
return [dict(r) for r in res]
def transaction(self) ->'TransactionBackend':
return SQLiteTransaction(self)
class SQLiteTransaction(TransactionBackend):
async def start(self):
return
async def commit(self):
await self._connection.database.commit()
async def rollback(self):
await self._connection.database.rollback()
<|reserved_special_token_1|>
import re
from typing import Any, Dict, List
import aiosqlite
from migri.elements import Query
from migri.interfaces import ConnectionBackend, TransactionBackend
class SQLiteConnection(ConnectionBackend):
_dialect = "sqlite"
@staticmethod
def _compile(query: Query) -> dict:
q = query.statement
v = []
if query.placeholders:
for p in query.placeholders:
# Append value
v.append(query.values[p.replace("$", "")])
# Substitute
q = re.sub(f"\\{p}", "?", q)
return {"query": q, "values": v}
async def connect(self):
self.db = await aiosqlite.connect(self.db_name)
self.db.row_factory = aiosqlite.Row
async def disconnect(self):
await self.db.close()
async def execute(self, query: Query):
q = self._compile(query)
await self.db.execute(q["query"], q["values"])
async def fetch(self, query: Query) -> Dict[str, Any]:
q = self._compile(query)
cursor = await self.db.execute(q["query"], q["values"])
res = await cursor.fetchone()
await cursor.close()
return dict(res)
async def fetch_all(self, query: Query) -> List[Dict[str, Any]]:
q = self._compile(query)
cursor = await self.db.execute(q["query"], q["values"])
res = await cursor.fetchall()
await cursor.close()
return [dict(r) for r in res]
def transaction(self) -> "TransactionBackend":
return SQLiteTransaction(self)
class SQLiteTransaction(TransactionBackend):
async def start(self):
# Nothing to do
return
async def commit(self):
await self._connection.database.commit()
async def rollback(self):
await self._connection.database.rollback()
|
flexible
|
{
"blob_id": "191a57d3f13fcbe217ff6d0bd92dea163d5fb3cf",
"index": 4822,
"step-1": "<mask token>\n\n\nclass SQLiteConnection(ConnectionBackend):\n <mask token>\n <mask token>\n\n async def connect(self):\n self.db = await aiosqlite.connect(self.db_name)\n self.db.row_factory = aiosqlite.Row\n\n async def disconnect(self):\n await self.db.close()\n\n async def execute(self, query: Query):\n q = self._compile(query)\n await self.db.execute(q['query'], q['values'])\n\n async def fetch(self, query: Query) ->Dict[str, Any]:\n q = self._compile(query)\n cursor = await self.db.execute(q['query'], q['values'])\n res = await cursor.fetchone()\n await cursor.close()\n return dict(res)\n\n async def fetch_all(self, query: Query) ->List[Dict[str, Any]]:\n q = self._compile(query)\n cursor = await self.db.execute(q['query'], q['values'])\n res = await cursor.fetchall()\n await cursor.close()\n return [dict(r) for r in res]\n\n def transaction(self) ->'TransactionBackend':\n return SQLiteTransaction(self)\n\n\nclass SQLiteTransaction(TransactionBackend):\n\n async def start(self):\n return\n\n async def commit(self):\n await self._connection.database.commit()\n\n async def rollback(self):\n await self._connection.database.rollback()\n",
"step-2": "<mask token>\n\n\nclass SQLiteConnection(ConnectionBackend):\n <mask token>\n\n @staticmethod\n def _compile(query: Query) ->dict:\n q = query.statement\n v = []\n if query.placeholders:\n for p in query.placeholders:\n v.append(query.values[p.replace('$', '')])\n q = re.sub(f'\\\\{p}', '?', q)\n return {'query': q, 'values': v}\n\n async def connect(self):\n self.db = await aiosqlite.connect(self.db_name)\n self.db.row_factory = aiosqlite.Row\n\n async def disconnect(self):\n await self.db.close()\n\n async def execute(self, query: Query):\n q = self._compile(query)\n await self.db.execute(q['query'], q['values'])\n\n async def fetch(self, query: Query) ->Dict[str, Any]:\n q = self._compile(query)\n cursor = await self.db.execute(q['query'], q['values'])\n res = await cursor.fetchone()\n await cursor.close()\n return dict(res)\n\n async def fetch_all(self, query: Query) ->List[Dict[str, Any]]:\n q = self._compile(query)\n cursor = await self.db.execute(q['query'], q['values'])\n res = await cursor.fetchall()\n await cursor.close()\n return [dict(r) for r in res]\n\n def transaction(self) ->'TransactionBackend':\n return SQLiteTransaction(self)\n\n\nclass SQLiteTransaction(TransactionBackend):\n\n async def start(self):\n return\n\n async def commit(self):\n await self._connection.database.commit()\n\n async def rollback(self):\n await self._connection.database.rollback()\n",
"step-3": "<mask token>\n\n\nclass SQLiteConnection(ConnectionBackend):\n _dialect = 'sqlite'\n\n @staticmethod\n def _compile(query: Query) ->dict:\n q = query.statement\n v = []\n if query.placeholders:\n for p in query.placeholders:\n v.append(query.values[p.replace('$', '')])\n q = re.sub(f'\\\\{p}', '?', q)\n return {'query': q, 'values': v}\n\n async def connect(self):\n self.db = await aiosqlite.connect(self.db_name)\n self.db.row_factory = aiosqlite.Row\n\n async def disconnect(self):\n await self.db.close()\n\n async def execute(self, query: Query):\n q = self._compile(query)\n await self.db.execute(q['query'], q['values'])\n\n async def fetch(self, query: Query) ->Dict[str, Any]:\n q = self._compile(query)\n cursor = await self.db.execute(q['query'], q['values'])\n res = await cursor.fetchone()\n await cursor.close()\n return dict(res)\n\n async def fetch_all(self, query: Query) ->List[Dict[str, Any]]:\n q = self._compile(query)\n cursor = await self.db.execute(q['query'], q['values'])\n res = await cursor.fetchall()\n await cursor.close()\n return [dict(r) for r in res]\n\n def transaction(self) ->'TransactionBackend':\n return SQLiteTransaction(self)\n\n\nclass SQLiteTransaction(TransactionBackend):\n\n async def start(self):\n return\n\n async def commit(self):\n await self._connection.database.commit()\n\n async def rollback(self):\n await self._connection.database.rollback()\n",
"step-4": "import re\nfrom typing import Any, Dict, List\nimport aiosqlite\nfrom migri.elements import Query\nfrom migri.interfaces import ConnectionBackend, TransactionBackend\n\n\nclass SQLiteConnection(ConnectionBackend):\n _dialect = 'sqlite'\n\n @staticmethod\n def _compile(query: Query) ->dict:\n q = query.statement\n v = []\n if query.placeholders:\n for p in query.placeholders:\n v.append(query.values[p.replace('$', '')])\n q = re.sub(f'\\\\{p}', '?', q)\n return {'query': q, 'values': v}\n\n async def connect(self):\n self.db = await aiosqlite.connect(self.db_name)\n self.db.row_factory = aiosqlite.Row\n\n async def disconnect(self):\n await self.db.close()\n\n async def execute(self, query: Query):\n q = self._compile(query)\n await self.db.execute(q['query'], q['values'])\n\n async def fetch(self, query: Query) ->Dict[str, Any]:\n q = self._compile(query)\n cursor = await self.db.execute(q['query'], q['values'])\n res = await cursor.fetchone()\n await cursor.close()\n return dict(res)\n\n async def fetch_all(self, query: Query) ->List[Dict[str, Any]]:\n q = self._compile(query)\n cursor = await self.db.execute(q['query'], q['values'])\n res = await cursor.fetchall()\n await cursor.close()\n return [dict(r) for r in res]\n\n def transaction(self) ->'TransactionBackend':\n return SQLiteTransaction(self)\n\n\nclass SQLiteTransaction(TransactionBackend):\n\n async def start(self):\n return\n\n async def commit(self):\n await self._connection.database.commit()\n\n async def rollback(self):\n await self._connection.database.rollback()\n",
"step-5": "import re\nfrom typing import Any, Dict, List\n\nimport aiosqlite\n\nfrom migri.elements import Query\nfrom migri.interfaces import ConnectionBackend, TransactionBackend\n\n\nclass SQLiteConnection(ConnectionBackend):\n _dialect = \"sqlite\"\n\n @staticmethod\n def _compile(query: Query) -> dict:\n q = query.statement\n v = []\n\n if query.placeholders:\n for p in query.placeholders:\n # Append value\n v.append(query.values[p.replace(\"$\", \"\")])\n\n # Substitute\n q = re.sub(f\"\\\\{p}\", \"?\", q)\n\n return {\"query\": q, \"values\": v}\n\n async def connect(self):\n self.db = await aiosqlite.connect(self.db_name)\n self.db.row_factory = aiosqlite.Row\n\n async def disconnect(self):\n await self.db.close()\n\n async def execute(self, query: Query):\n q = self._compile(query)\n await self.db.execute(q[\"query\"], q[\"values\"])\n\n async def fetch(self, query: Query) -> Dict[str, Any]:\n q = self._compile(query)\n cursor = await self.db.execute(q[\"query\"], q[\"values\"])\n res = await cursor.fetchone()\n await cursor.close()\n\n return dict(res)\n\n async def fetch_all(self, query: Query) -> List[Dict[str, Any]]:\n q = self._compile(query)\n cursor = await self.db.execute(q[\"query\"], q[\"values\"])\n res = await cursor.fetchall()\n await cursor.close()\n\n return [dict(r) for r in res]\n\n def transaction(self) -> \"TransactionBackend\":\n return SQLiteTransaction(self)\n\n\nclass SQLiteTransaction(TransactionBackend):\n async def start(self):\n # Nothing to do\n return\n\n async def commit(self):\n await self._connection.database.commit()\n\n async def rollback(self):\n await self._connection.database.rollback()\n",
"step-ids": [
3,
4,
5,
6,
7
]
}
|
[
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
while no != 0:
r = no % 10
no = no // 10
rev = rev * 10 + r
print('reverse no is:', rev)
<|reserved_special_token_1|>
no = int(input('enter no:'))
rev = 0
while no != 0:
r = no % 10
no = no // 10
rev = rev * 10 + r
print('reverse no is:', rev)
<|reserved_special_token_1|>
no=int(input("enter no:"))
rev=0
while no!=0:
r=no%10
no=no//10
rev=rev*10+r
print("reverse no is:",rev)
|
flexible
|
{
"blob_id": "b2371f9c774c605a52ff1a4fae2dd44a856076aa",
"index": 5522,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile no != 0:\n r = no % 10\n no = no // 10\n rev = rev * 10 + r\nprint('reverse no is:', rev)\n",
"step-3": "no = int(input('enter no:'))\nrev = 0\nwhile no != 0:\n r = no % 10\n no = no // 10\n rev = rev * 10 + r\nprint('reverse no is:', rev)\n",
"step-4": "no=int(input(\"enter no:\"))\nrev=0\nwhile no!=0:\n r=no%10\n no=no//10\n rev=rev*10+r\nprint(\"reverse no is:\",rev)\n ",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
<|reserved_special_token_0|>
def process_std(standard_input_file):
try:
with open(standard_input_file, 'r') as in_handle:
lin_reg_lst = []
for line in in_handle:
line = line.strip('\n')
lin_reg_lst.append(line)
except IOError:
print('Could not open ' + standard_input_file + ' for reading.')
quit(1)
return lin_reg_lst
<|reserved_special_token_0|>
def abs_to_subconc(meas_df, info_dict, m, c):
for sample in info_dict.keys():
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
for row in meas_df[i[0]]:
count = 1
for el in row:
if type(el) != str:
conc = (el - c) / m
meas_df[i[0], count] = conc
count += 1
return meas_df
<|reserved_special_token_0|>
def act_calc(meas_df, info_dict, b_m, std_m, std_c):
act_dict = {}
while True:
print('How many time intervals you want to take for the ' +
'analysis? (most linear part from first to x)')
m_lin = input()
if m_lin.isnumeric() == True and int(m_lin) > 1:
break
m_lin = int(m_lin)
while True:
print('What is the volume per well? (in µL)')
well_v = input()
print('\n')
if well_v.isnumeric() == True:
break
time = np.where(meas_df == 'Time [s]')
if len(time[0]) == 0:
m_arr = []
time = np.where(meas_df == 'Time [ms]')
for row in meas_df[time[0]]:
arr = []
count = 1
for el in row:
if type(el) != str:
sec = el * 0.001
arr.append(sec)
count += 1
m_arr.append(arr)
x = np.vstack(m_arr)
av_lst = []
for row in np.transpose(x):
av = sum(row) / len(row)
av_lst.append(av)
x = np.transpose(np.array(av_lst[0:m_lin]))
else:
x = meas_df[time[0]]
x = np.array(x[0, 1:m_lin + 1])
for sample in info_dict.keys():
e_conc = info_dict[sample]['conc']
e_dil = info_dict[sample]['dil']
e_conc = float(e_conc) / (float(e_dil) * 1000)
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
y = meas_df[i[0]]
y = np.array(y[0, 1:m_lin + 1])
m, c, r, p, stderr = stats.linregress(x.astype(float), y.astype
(float))
print(sample + ' >R²' + str(r))
plt.figure(1, figsize=[10, 5], frameon=False)
plt.plot(x, y, 'x', markersize=2, label=sample)
plt.plot(x, m * x + c, 'r', linestyle='--', color='gray')
plt.savefig('activity_plot.png')
m = abs(m - b_m)
sact = m * 60 * int(well_v) / (10 * 1000000 * float(e_conc))
act_dict.setdefault(sample, [])
act_dict[sample].append(sact)
summery_dict = {}
summery_dict['interval'] = m_lin
for sample in act_dict.keys():
av_sact = sum(act_dict[sample]) / len(act_dict[sample])
print('average specific activity of ' + sample + ' = ' + str(
av_sact) + ' U/mg')
std = np.std(act_dict[sample])
print('standard deviation for ' + sample + ': +/-' + str(std))
summery_dict[sample] = {'av_sact': av_sact, 'std': std}
return summery_dict
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def process_std(standard_input_file):
try:
with open(standard_input_file, 'r') as in_handle:
lin_reg_lst = []
for line in in_handle:
line = line.strip('\n')
lin_reg_lst.append(line)
except IOError:
print('Could not open ' + standard_input_file + ' for reading.')
quit(1)
return lin_reg_lst
def process_info(info_file):
try:
info_dict = {}
with open(info_file, 'r') as in_handle:
for line in in_handle:
line = line.strip()
items = re.split(' ', line)
well_lst = re.split(',', items[1])
info_dict[items[0]] = {'wells': well_lst, 'conc': float(
items[2]), 'dil': float(items[3])}
except IOError:
print('Could not open ' + args.info + ' for reading.')
quit(1)
return info_dict
def abs_to_subconc(meas_df, info_dict, m, c):
for sample in info_dict.keys():
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
for row in meas_df[i[0]]:
count = 1
for el in row:
if type(el) != str:
conc = (el - c) / m
meas_df[i[0], count] = conc
count += 1
return meas_df
<|reserved_special_token_0|>
def act_calc(meas_df, info_dict, b_m, std_m, std_c):
act_dict = {}
while True:
print('How many time intervals you want to take for the ' +
'analysis? (most linear part from first to x)')
m_lin = input()
if m_lin.isnumeric() == True and int(m_lin) > 1:
break
m_lin = int(m_lin)
while True:
print('What is the volume per well? (in µL)')
well_v = input()
print('\n')
if well_v.isnumeric() == True:
break
time = np.where(meas_df == 'Time [s]')
if len(time[0]) == 0:
m_arr = []
time = np.where(meas_df == 'Time [ms]')
for row in meas_df[time[0]]:
arr = []
count = 1
for el in row:
if type(el) != str:
sec = el * 0.001
arr.append(sec)
count += 1
m_arr.append(arr)
x = np.vstack(m_arr)
av_lst = []
for row in np.transpose(x):
av = sum(row) / len(row)
av_lst.append(av)
x = np.transpose(np.array(av_lst[0:m_lin]))
else:
x = meas_df[time[0]]
x = np.array(x[0, 1:m_lin + 1])
for sample in info_dict.keys():
e_conc = info_dict[sample]['conc']
e_dil = info_dict[sample]['dil']
e_conc = float(e_conc) / (float(e_dil) * 1000)
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
y = meas_df[i[0]]
y = np.array(y[0, 1:m_lin + 1])
m, c, r, p, stderr = stats.linregress(x.astype(float), y.astype
(float))
print(sample + ' >R²' + str(r))
plt.figure(1, figsize=[10, 5], frameon=False)
plt.plot(x, y, 'x', markersize=2, label=sample)
plt.plot(x, m * x + c, 'r', linestyle='--', color='gray')
plt.savefig('activity_plot.png')
m = abs(m - b_m)
sact = m * 60 * int(well_v) / (10 * 1000000 * float(e_conc))
act_dict.setdefault(sample, [])
act_dict[sample].append(sact)
summery_dict = {}
summery_dict['interval'] = m_lin
for sample in act_dict.keys():
av_sact = sum(act_dict[sample]) / len(act_dict[sample])
print('average specific activity of ' + sample + ' = ' + str(
av_sact) + ' U/mg')
std = np.std(act_dict[sample])
print('standard deviation for ' + sample + ': +/-' + str(std))
summery_dict[sample] = {'av_sact': av_sact, 'std': std}
return summery_dict
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def process_std(standard_input_file):
try:
with open(standard_input_file, 'r') as in_handle:
lin_reg_lst = []
for line in in_handle:
line = line.strip('\n')
lin_reg_lst.append(line)
except IOError:
print('Could not open ' + standard_input_file + ' for reading.')
quit(1)
return lin_reg_lst
def process_info(info_file):
try:
info_dict = {}
with open(info_file, 'r') as in_handle:
for line in in_handle:
line = line.strip()
items = re.split(' ', line)
well_lst = re.split(',', items[1])
info_dict[items[0]] = {'wells': well_lst, 'conc': float(
items[2]), 'dil': float(items[3])}
except IOError:
print('Could not open ' + args.info + ' for reading.')
quit(1)
return info_dict
def abs_to_subconc(meas_df, info_dict, m, c):
for sample in info_dict.keys():
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
for row in meas_df[i[0]]:
count = 1
for el in row:
if type(el) != str:
conc = (el - c) / m
meas_df[i[0], count] = conc
count += 1
return meas_df
def process_blank(blank_file, std_m, std_c):
blank_df = pd.read_csv(blank_file)
blank_df = blank_df.to_numpy()
i = np.where(blank_df == 'Time [s]')
if len(i[0]) == 0:
b_arr = []
i = np.where(blank_df == 'Time [ms]')
for row in blank_df[i[0]]:
count = 1
arr = []
for el in row:
if type(el) != str:
sec = el * 0.001
arr.append(sec)
count += 1
b_arr.append(arr)
blank_x = np.vstack(b_arr)
av_lst = []
for row in np.transpose(blank_x):
av = sum(row) / len(row)
av_lst.append(av)
blank_x = np.transpose(np.array(av_lst))
else:
blank_x = np.array(blank_df[i[0]][0, 1:])
arr = []
for row in blank_df:
if re.search('^[A-Z]\\d\\d?$', row[0]):
arr.append(row[1:])
if len(arr) < 2:
blank_arr = np.array(arr)
else:
blank_arr = np.vstack(arr)
count_r = 0
for row in blank_arr:
count_c = 0
for el in row:
if type(el) != str:
conc = (el - std_c) / std_m
blank_arr[count_r, count_c] = conc
count_c += 1
count_r += 1
av_lst = []
for row in np.transpose(blank_arr):
av = sum(row) / len(row)
av_lst.append(av)
if len(av_lst) < 2:
blank_y = np.transpose(np.array(av_lst))
else:
blank_y = np.transpose(np.vstack(av_lst))
b_m, b_c, b_r, b_p, stderr = stats.linregress(blank_x.astype(float),
blank_y.astype(float))
return b_m
def act_calc(meas_df, info_dict, b_m, std_m, std_c):
act_dict = {}
while True:
print('How many time intervals you want to take for the ' +
'analysis? (most linear part from first to x)')
m_lin = input()
if m_lin.isnumeric() == True and int(m_lin) > 1:
break
m_lin = int(m_lin)
while True:
print('What is the volume per well? (in µL)')
well_v = input()
print('\n')
if well_v.isnumeric() == True:
break
time = np.where(meas_df == 'Time [s]')
if len(time[0]) == 0:
m_arr = []
time = np.where(meas_df == 'Time [ms]')
for row in meas_df[time[0]]:
arr = []
count = 1
for el in row:
if type(el) != str:
sec = el * 0.001
arr.append(sec)
count += 1
m_arr.append(arr)
x = np.vstack(m_arr)
av_lst = []
for row in np.transpose(x):
av = sum(row) / len(row)
av_lst.append(av)
x = np.transpose(np.array(av_lst[0:m_lin]))
else:
x = meas_df[time[0]]
x = np.array(x[0, 1:m_lin + 1])
for sample in info_dict.keys():
e_conc = info_dict[sample]['conc']
e_dil = info_dict[sample]['dil']
e_conc = float(e_conc) / (float(e_dil) * 1000)
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
y = meas_df[i[0]]
y = np.array(y[0, 1:m_lin + 1])
m, c, r, p, stderr = stats.linregress(x.astype(float), y.astype
(float))
print(sample + ' >R²' + str(r))
plt.figure(1, figsize=[10, 5], frameon=False)
plt.plot(x, y, 'x', markersize=2, label=sample)
plt.plot(x, m * x + c, 'r', linestyle='--', color='gray')
plt.savefig('activity_plot.png')
m = abs(m - b_m)
sact = m * 60 * int(well_v) / (10 * 1000000 * float(e_conc))
act_dict.setdefault(sample, [])
act_dict[sample].append(sact)
summery_dict = {}
summery_dict['interval'] = m_lin
for sample in act_dict.keys():
av_sact = sum(act_dict[sample]) / len(act_dict[sample])
print('average specific activity of ' + sample + ' = ' + str(
av_sact) + ' U/mg')
std = np.std(act_dict[sample])
print('standard deviation for ' + sample + ': +/-' + str(std))
summery_dict[sample] = {'av_sact': av_sact, 'std': std}
return summery_dict
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def process_std(standard_input_file):
try:
with open(standard_input_file, 'r') as in_handle:
lin_reg_lst = []
for line in in_handle:
line = line.strip('\n')
lin_reg_lst.append(line)
except IOError:
print('Could not open ' + standard_input_file + ' for reading.')
quit(1)
return lin_reg_lst
def process_info(info_file):
try:
info_dict = {}
with open(info_file, 'r') as in_handle:
for line in in_handle:
line = line.strip()
items = re.split(' ', line)
well_lst = re.split(',', items[1])
info_dict[items[0]] = {'wells': well_lst, 'conc': float(
items[2]), 'dil': float(items[3])}
except IOError:
print('Could not open ' + args.info + ' for reading.')
quit(1)
return info_dict
def abs_to_subconc(meas_df, info_dict, m, c):
for sample in info_dict.keys():
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
for row in meas_df[i[0]]:
count = 1
for el in row:
if type(el) != str:
conc = (el - c) / m
meas_df[i[0], count] = conc
count += 1
return meas_df
def process_blank(blank_file, std_m, std_c):
blank_df = pd.read_csv(blank_file)
blank_df = blank_df.to_numpy()
i = np.where(blank_df == 'Time [s]')
if len(i[0]) == 0:
b_arr = []
i = np.where(blank_df == 'Time [ms]')
for row in blank_df[i[0]]:
count = 1
arr = []
for el in row:
if type(el) != str:
sec = el * 0.001
arr.append(sec)
count += 1
b_arr.append(arr)
blank_x = np.vstack(b_arr)
av_lst = []
for row in np.transpose(blank_x):
av = sum(row) / len(row)
av_lst.append(av)
blank_x = np.transpose(np.array(av_lst))
else:
blank_x = np.array(blank_df[i[0]][0, 1:])
arr = []
for row in blank_df:
if re.search('^[A-Z]\\d\\d?$', row[0]):
arr.append(row[1:])
if len(arr) < 2:
blank_arr = np.array(arr)
else:
blank_arr = np.vstack(arr)
count_r = 0
for row in blank_arr:
count_c = 0
for el in row:
if type(el) != str:
conc = (el - std_c) / std_m
blank_arr[count_r, count_c] = conc
count_c += 1
count_r += 1
av_lst = []
for row in np.transpose(blank_arr):
av = sum(row) / len(row)
av_lst.append(av)
if len(av_lst) < 2:
blank_y = np.transpose(np.array(av_lst))
else:
blank_y = np.transpose(np.vstack(av_lst))
b_m, b_c, b_r, b_p, stderr = stats.linregress(blank_x.astype(float),
blank_y.astype(float))
return b_m
def act_calc(meas_df, info_dict, b_m, std_m, std_c):
act_dict = {}
while True:
print('How many time intervals you want to take for the ' +
'analysis? (most linear part from first to x)')
m_lin = input()
if m_lin.isnumeric() == True and int(m_lin) > 1:
break
m_lin = int(m_lin)
while True:
print('What is the volume per well? (in µL)')
well_v = input()
print('\n')
if well_v.isnumeric() == True:
break
time = np.where(meas_df == 'Time [s]')
if len(time[0]) == 0:
m_arr = []
time = np.where(meas_df == 'Time [ms]')
for row in meas_df[time[0]]:
arr = []
count = 1
for el in row:
if type(el) != str:
sec = el * 0.001
arr.append(sec)
count += 1
m_arr.append(arr)
x = np.vstack(m_arr)
av_lst = []
for row in np.transpose(x):
av = sum(row) / len(row)
av_lst.append(av)
x = np.transpose(np.array(av_lst[0:m_lin]))
else:
x = meas_df[time[0]]
x = np.array(x[0, 1:m_lin + 1])
for sample in info_dict.keys():
e_conc = info_dict[sample]['conc']
e_dil = info_dict[sample]['dil']
e_conc = float(e_conc) / (float(e_dil) * 1000)
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
y = meas_df[i[0]]
y = np.array(y[0, 1:m_lin + 1])
m, c, r, p, stderr = stats.linregress(x.astype(float), y.astype
(float))
print(sample + ' >R²' + str(r))
plt.figure(1, figsize=[10, 5], frameon=False)
plt.plot(x, y, 'x', markersize=2, label=sample)
plt.plot(x, m * x + c, 'r', linestyle='--', color='gray')
plt.savefig('activity_plot.png')
m = abs(m - b_m)
sact = m * 60 * int(well_v) / (10 * 1000000 * float(e_conc))
act_dict.setdefault(sample, [])
act_dict[sample].append(sact)
summery_dict = {}
summery_dict['interval'] = m_lin
for sample in act_dict.keys():
av_sact = sum(act_dict[sample]) / len(act_dict[sample])
print('average specific activity of ' + sample + ' = ' + str(
av_sact) + ' U/mg')
std = np.std(act_dict[sample])
print('standard deviation for ' + sample + ': +/-' + str(std))
summery_dict[sample] = {'av_sact': av_sact, 'std': std}
return summery_dict
def gen_output(summery_dict, name):
try:
with open(name + '_activity.out', 'w') as out_handle:
out_handle.write('time interval from 1. to ' + str(summery_dict
['interval']) + """. was used for calculations.
""")
for sample in summery_dict.keys():
if sample == 'interval':
continue
else:
out_handle.write(str(sample) + ': s = ' + str(
summery_dict[sample]['av_sact']) + ' +/- ' + str(
summery_dict[sample]['std']) + '\n')
except IOError:
print('Could not open activity.out for writing.')
quit(1)
<|reserved_special_token_1|>
############################## Import Modules ##################################
import pandas as pd
import numpy as np
import re
from scipy import stats
import matplotlib.pyplot as plt
############################## Define Functions ################################
# generate list containing data of standard curve
def process_std(standard_input_file):
try:
with open(standard_input_file, 'r') as in_handle:
lin_reg_lst = []
for line in in_handle:
line = line.strip('\n')
lin_reg_lst.append(line)
except IOError:
print("Could not open " + standard_input_file + " for reading.")
quit(1)
return lin_reg_lst
# generate info_dict containing information about the samples
def process_info(info_file):
try:
info_dict = {}
with open(info_file, 'r') as in_handle:
for line in in_handle:
line = line.strip()
items = re.split(' ', line)
well_lst = re.split(',', items[1])
info_dict[items[0]] = {'wells': well_lst,
'conc': float(items[2]),
'dil': float(items[3])}
except IOError:
print("Could not open " + args.info + " for reading.")
quit(1)
return info_dict
# calculate substrate concentration from absorption values
def abs_to_subconc(meas_df, info_dict, m, c):
# find data series belonging to a sample
for sample in info_dict.keys():
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
# convert absorption values to substrate concentration
for row in meas_df[i[0]]:
count = 1
for el in row:
if type(el) != str:
conc = (el - c)/m
meas_df[i[0], count] = conc
count += 1
return meas_df
# process blank to get slope
def process_blank(blank_file, std_m, std_c):
blank_df = pd.read_csv(blank_file)
blank_df = blank_df.to_numpy()
# define x values
i = np.where(blank_df == 'Time [s]')
# fall-back for case that time per well is measured
if len(i[0]) == 0:
b_arr = []
i = np.where(blank_df == 'Time [ms]')
# convert ms to s
for row in blank_df[i[0]]:
count = 1
arr = []
for el in row:
if type(el) != str:
sec = el*0.001
arr.append(sec)
count += 1
b_arr.append(arr)
blank_x = np.vstack(b_arr)
# make average for time
av_lst = []
for row in np.transpose(blank_x):
av = sum(row) / len(row)
av_lst.append(av)
blank_x = np.transpose(np.array(av_lst))
else:
blank_x = np.array(blank_df[i[0]][0, 1:])
# define y values
arr = []
for row in blank_df:
if re.search(r'^[A-Z]\d\d?$', row[0]):
arr.append(row[1:])
if len(arr) < 2:
blank_arr = np.array(arr)
else:
blank_arr = np.vstack(arr)
count_r = 0
for row in blank_arr:
count_c = 0
for el in row:
if type(el) != str:
conc = (el - std_c)/std_m
blank_arr[count_r, count_c] = conc
count_c += 1
count_r += 1
av_lst = []
for row in np.transpose(blank_arr):
av = sum(row) / len(row)
av_lst.append(av)
if len(av_lst) < 2:
blank_y = np.transpose(np.array(av_lst))
else:
blank_y = np.transpose(np.vstack(av_lst))
b_m, b_c, b_r, b_p, stderr = stats.linregress(blank_x.astype(float),
blank_y.astype(float))
return b_m
# calculate average activity and standard deviation of each sample
def act_calc(meas_df, info_dict, b_m, std_m, std_c):
act_dict = {}
# m_lin defines most linear part from first point
while True:
print("How many time intervals you want to take for the "
+ "analysis? (most linear part from first to x)")
m_lin = input()
if m_lin.isnumeric() == True and int(m_lin) > 1:
break
m_lin = int(m_lin)
# define volume per well
while True:
print("What is the volume per well? (in µL)")
well_v = input()
print("\n")
if well_v.isnumeric() == True:
break
# define x values
time = np.where(meas_df == 'Time [s]')
# fall-back for case that time per well is measured
if len(time[0]) == 0:
m_arr = []
time = np.where(meas_df == 'Time [ms]')
# convert ms to s
for row in meas_df[time[0]]:
arr = []
count = 1
for el in row:
if type(el) != str:
sec = el*0.001
arr.append(sec)
count += 1
m_arr.append(arr)
x = np.vstack(m_arr)
# make average for time values
av_lst = []
for row in np.transpose(x):
av = sum(row) / len(row)
av_lst.append(av)
x = np.transpose(np.array(av_lst[0:m_lin]))
else:
x = meas_df[time[0]]
x = np.array(x[0, 1:m_lin + 1])
# process sample data
for sample in info_dict.keys():
e_conc = info_dict[sample]['conc']
e_dil = info_dict[sample]['dil']
e_conc = float(e_conc)/ (float(e_dil)*1000)
for well in info_dict[sample]['wells']:
i = np.where(meas_df == well)
y = meas_df[i[0]]
y = np.array(y[0, 1:m_lin + 1])
m, c, r, p, stderr = stats.linregress(x.astype(float),
y.astype(float))
print(sample + ' >R²' + str(r))
# plot substrate decrease
plt.figure(1, figsize=[10,5], frameon=False)
plt.plot(x, y, 'x', markersize=2, label=sample)
plt.plot(x, m*x + c, 'r', linestyle='--', color='gray')
plt.savefig('activity_plot.png')
# calculate specific activity
m = abs(m - b_m)
sact = (m*60*int(well_v)) / (10*1000000*float(e_conc))
act_dict.setdefault(sample, [])
act_dict[sample].append(sact)
# calculate average specific activity per sample
summery_dict = {}
summery_dict['interval'] = m_lin
for sample in act_dict.keys():
av_sact = sum(act_dict[sample]) / len(act_dict[sample])
print("average specific activity of " + sample + " = "
+ str(av_sact) + " U/mg")
# calculate standard deviation per sample
std = np.std(act_dict[sample])
print("standard deviation for " + sample + ": +/-" + str(std))
# generate summery_dict for output file
summery_dict[sample] = {'av_sact': av_sact, 'std': std}
return summery_dict
# process summery_dict to generate output file
def gen_output(summery_dict, name):
try:
with open(name + '_activity.out', 'w') as out_handle:
out_handle.write('time interval from 1. to '
+ str(summery_dict['interval'])
+ '. was used for calculations.\n')
for sample in summery_dict.keys():
if sample == 'interval':
continue
else:
out_handle.write(str(sample) + ': s = '
+ str(summery_dict[sample]['av_sact'])
+ ' +/- '
+ str(summery_dict[sample]['std']) + '\n')
except IOError:
print("Could not open activity.out for writing.")
quit(1)
|
flexible
|
{
"blob_id": "19949b07c866d66b3ef00b6a386bf89f03e06294",
"index": 7984,
"step-1": "<mask token>\n\n\ndef process_std(standard_input_file):\n try:\n with open(standard_input_file, 'r') as in_handle:\n lin_reg_lst = []\n for line in in_handle:\n line = line.strip('\\n')\n lin_reg_lst.append(line)\n except IOError:\n print('Could not open ' + standard_input_file + ' for reading.')\n quit(1)\n return lin_reg_lst\n\n\n<mask token>\n\n\ndef abs_to_subconc(meas_df, info_dict, m, c):\n for sample in info_dict.keys():\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n for row in meas_df[i[0]]:\n count = 1\n for el in row:\n if type(el) != str:\n conc = (el - c) / m\n meas_df[i[0], count] = conc\n count += 1\n return meas_df\n\n\n<mask token>\n\n\ndef act_calc(meas_df, info_dict, b_m, std_m, std_c):\n act_dict = {}\n while True:\n print('How many time intervals you want to take for the ' +\n 'analysis? (most linear part from first to x)')\n m_lin = input()\n if m_lin.isnumeric() == True and int(m_lin) > 1:\n break\n m_lin = int(m_lin)\n while True:\n print('What is the volume per well? (in µL)')\n well_v = input()\n print('\\n')\n if well_v.isnumeric() == True:\n break\n time = np.where(meas_df == 'Time [s]')\n if len(time[0]) == 0:\n m_arr = []\n time = np.where(meas_df == 'Time [ms]')\n for row in meas_df[time[0]]:\n arr = []\n count = 1\n for el in row:\n if type(el) != str:\n sec = el * 0.001\n arr.append(sec)\n count += 1\n m_arr.append(arr)\n x = np.vstack(m_arr)\n av_lst = []\n for row in np.transpose(x):\n av = sum(row) / len(row)\n av_lst.append(av)\n x = np.transpose(np.array(av_lst[0:m_lin]))\n else:\n x = meas_df[time[0]]\n x = np.array(x[0, 1:m_lin + 1])\n for sample in info_dict.keys():\n e_conc = info_dict[sample]['conc']\n e_dil = info_dict[sample]['dil']\n e_conc = float(e_conc) / (float(e_dil) * 1000)\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n y = meas_df[i[0]]\n y = np.array(y[0, 1:m_lin + 1])\n m, c, r, p, stderr = stats.linregress(x.astype(float), y.astype\n (float))\n print(sample + ' >R²' + str(r))\n plt.figure(1, figsize=[10, 5], frameon=False)\n plt.plot(x, y, 'x', markersize=2, label=sample)\n plt.plot(x, m * x + c, 'r', linestyle='--', color='gray')\n plt.savefig('activity_plot.png')\n m = abs(m - b_m)\n sact = m * 60 * int(well_v) / (10 * 1000000 * float(e_conc))\n act_dict.setdefault(sample, [])\n act_dict[sample].append(sact)\n summery_dict = {}\n summery_dict['interval'] = m_lin\n for sample in act_dict.keys():\n av_sact = sum(act_dict[sample]) / len(act_dict[sample])\n print('average specific activity of ' + sample + ' = ' + str(\n av_sact) + ' U/mg')\n std = np.std(act_dict[sample])\n print('standard deviation for ' + sample + ': +/-' + str(std))\n summery_dict[sample] = {'av_sact': av_sact, 'std': std}\n return summery_dict\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef process_std(standard_input_file):\n try:\n with open(standard_input_file, 'r') as in_handle:\n lin_reg_lst = []\n for line in in_handle:\n line = line.strip('\\n')\n lin_reg_lst.append(line)\n except IOError:\n print('Could not open ' + standard_input_file + ' for reading.')\n quit(1)\n return lin_reg_lst\n\n\ndef process_info(info_file):\n try:\n info_dict = {}\n with open(info_file, 'r') as in_handle:\n for line in in_handle:\n line = line.strip()\n items = re.split(' ', line)\n well_lst = re.split(',', items[1])\n info_dict[items[0]] = {'wells': well_lst, 'conc': float(\n items[2]), 'dil': float(items[3])}\n except IOError:\n print('Could not open ' + args.info + ' for reading.')\n quit(1)\n return info_dict\n\n\ndef abs_to_subconc(meas_df, info_dict, m, c):\n for sample in info_dict.keys():\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n for row in meas_df[i[0]]:\n count = 1\n for el in row:\n if type(el) != str:\n conc = (el - c) / m\n meas_df[i[0], count] = conc\n count += 1\n return meas_df\n\n\n<mask token>\n\n\ndef act_calc(meas_df, info_dict, b_m, std_m, std_c):\n act_dict = {}\n while True:\n print('How many time intervals you want to take for the ' +\n 'analysis? (most linear part from first to x)')\n m_lin = input()\n if m_lin.isnumeric() == True and int(m_lin) > 1:\n break\n m_lin = int(m_lin)\n while True:\n print('What is the volume per well? (in µL)')\n well_v = input()\n print('\\n')\n if well_v.isnumeric() == True:\n break\n time = np.where(meas_df == 'Time [s]')\n if len(time[0]) == 0:\n m_arr = []\n time = np.where(meas_df == 'Time [ms]')\n for row in meas_df[time[0]]:\n arr = []\n count = 1\n for el in row:\n if type(el) != str:\n sec = el * 0.001\n arr.append(sec)\n count += 1\n m_arr.append(arr)\n x = np.vstack(m_arr)\n av_lst = []\n for row in np.transpose(x):\n av = sum(row) / len(row)\n av_lst.append(av)\n x = np.transpose(np.array(av_lst[0:m_lin]))\n else:\n x = meas_df[time[0]]\n x = np.array(x[0, 1:m_lin + 1])\n for sample in info_dict.keys():\n e_conc = info_dict[sample]['conc']\n e_dil = info_dict[sample]['dil']\n e_conc = float(e_conc) / (float(e_dil) * 1000)\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n y = meas_df[i[0]]\n y = np.array(y[0, 1:m_lin + 1])\n m, c, r, p, stderr = stats.linregress(x.astype(float), y.astype\n (float))\n print(sample + ' >R²' + str(r))\n plt.figure(1, figsize=[10, 5], frameon=False)\n plt.plot(x, y, 'x', markersize=2, label=sample)\n plt.plot(x, m * x + c, 'r', linestyle='--', color='gray')\n plt.savefig('activity_plot.png')\n m = abs(m - b_m)\n sact = m * 60 * int(well_v) / (10 * 1000000 * float(e_conc))\n act_dict.setdefault(sample, [])\n act_dict[sample].append(sact)\n summery_dict = {}\n summery_dict['interval'] = m_lin\n for sample in act_dict.keys():\n av_sact = sum(act_dict[sample]) / len(act_dict[sample])\n print('average specific activity of ' + sample + ' = ' + str(\n av_sact) + ' U/mg')\n std = np.std(act_dict[sample])\n print('standard deviation for ' + sample + ': +/-' + str(std))\n summery_dict[sample] = {'av_sact': av_sact, 'std': std}\n return summery_dict\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef process_std(standard_input_file):\n try:\n with open(standard_input_file, 'r') as in_handle:\n lin_reg_lst = []\n for line in in_handle:\n line = line.strip('\\n')\n lin_reg_lst.append(line)\n except IOError:\n print('Could not open ' + standard_input_file + ' for reading.')\n quit(1)\n return lin_reg_lst\n\n\ndef process_info(info_file):\n try:\n info_dict = {}\n with open(info_file, 'r') as in_handle:\n for line in in_handle:\n line = line.strip()\n items = re.split(' ', line)\n well_lst = re.split(',', items[1])\n info_dict[items[0]] = {'wells': well_lst, 'conc': float(\n items[2]), 'dil': float(items[3])}\n except IOError:\n print('Could not open ' + args.info + ' for reading.')\n quit(1)\n return info_dict\n\n\ndef abs_to_subconc(meas_df, info_dict, m, c):\n for sample in info_dict.keys():\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n for row in meas_df[i[0]]:\n count = 1\n for el in row:\n if type(el) != str:\n conc = (el - c) / m\n meas_df[i[0], count] = conc\n count += 1\n return meas_df\n\n\ndef process_blank(blank_file, std_m, std_c):\n blank_df = pd.read_csv(blank_file)\n blank_df = blank_df.to_numpy()\n i = np.where(blank_df == 'Time [s]')\n if len(i[0]) == 0:\n b_arr = []\n i = np.where(blank_df == 'Time [ms]')\n for row in blank_df[i[0]]:\n count = 1\n arr = []\n for el in row:\n if type(el) != str:\n sec = el * 0.001\n arr.append(sec)\n count += 1\n b_arr.append(arr)\n blank_x = np.vstack(b_arr)\n av_lst = []\n for row in np.transpose(blank_x):\n av = sum(row) / len(row)\n av_lst.append(av)\n blank_x = np.transpose(np.array(av_lst))\n else:\n blank_x = np.array(blank_df[i[0]][0, 1:])\n arr = []\n for row in blank_df:\n if re.search('^[A-Z]\\\\d\\\\d?$', row[0]):\n arr.append(row[1:])\n if len(arr) < 2:\n blank_arr = np.array(arr)\n else:\n blank_arr = np.vstack(arr)\n count_r = 0\n for row in blank_arr:\n count_c = 0\n for el in row:\n if type(el) != str:\n conc = (el - std_c) / std_m\n blank_arr[count_r, count_c] = conc\n count_c += 1\n count_r += 1\n av_lst = []\n for row in np.transpose(blank_arr):\n av = sum(row) / len(row)\n av_lst.append(av)\n if len(av_lst) < 2:\n blank_y = np.transpose(np.array(av_lst))\n else:\n blank_y = np.transpose(np.vstack(av_lst))\n b_m, b_c, b_r, b_p, stderr = stats.linregress(blank_x.astype(float),\n blank_y.astype(float))\n return b_m\n\n\ndef act_calc(meas_df, info_dict, b_m, std_m, std_c):\n act_dict = {}\n while True:\n print('How many time intervals you want to take for the ' +\n 'analysis? (most linear part from first to x)')\n m_lin = input()\n if m_lin.isnumeric() == True and int(m_lin) > 1:\n break\n m_lin = int(m_lin)\n while True:\n print('What is the volume per well? (in µL)')\n well_v = input()\n print('\\n')\n if well_v.isnumeric() == True:\n break\n time = np.where(meas_df == 'Time [s]')\n if len(time[0]) == 0:\n m_arr = []\n time = np.where(meas_df == 'Time [ms]')\n for row in meas_df[time[0]]:\n arr = []\n count = 1\n for el in row:\n if type(el) != str:\n sec = el * 0.001\n arr.append(sec)\n count += 1\n m_arr.append(arr)\n x = np.vstack(m_arr)\n av_lst = []\n for row in np.transpose(x):\n av = sum(row) / len(row)\n av_lst.append(av)\n x = np.transpose(np.array(av_lst[0:m_lin]))\n else:\n x = meas_df[time[0]]\n x = np.array(x[0, 1:m_lin + 1])\n for sample in info_dict.keys():\n e_conc = info_dict[sample]['conc']\n e_dil = info_dict[sample]['dil']\n e_conc = float(e_conc) / (float(e_dil) * 1000)\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n y = meas_df[i[0]]\n y = np.array(y[0, 1:m_lin + 1])\n m, c, r, p, stderr = stats.linregress(x.astype(float), y.astype\n (float))\n print(sample + ' >R²' + str(r))\n plt.figure(1, figsize=[10, 5], frameon=False)\n plt.plot(x, y, 'x', markersize=2, label=sample)\n plt.plot(x, m * x + c, 'r', linestyle='--', color='gray')\n plt.savefig('activity_plot.png')\n m = abs(m - b_m)\n sact = m * 60 * int(well_v) / (10 * 1000000 * float(e_conc))\n act_dict.setdefault(sample, [])\n act_dict[sample].append(sact)\n summery_dict = {}\n summery_dict['interval'] = m_lin\n for sample in act_dict.keys():\n av_sact = sum(act_dict[sample]) / len(act_dict[sample])\n print('average specific activity of ' + sample + ' = ' + str(\n av_sact) + ' U/mg')\n std = np.std(act_dict[sample])\n print('standard deviation for ' + sample + ': +/-' + str(std))\n summery_dict[sample] = {'av_sact': av_sact, 'std': std}\n return summery_dict\n\n\n<mask token>\n",
"step-4": "<mask token>\n\n\ndef process_std(standard_input_file):\n try:\n with open(standard_input_file, 'r') as in_handle:\n lin_reg_lst = []\n for line in in_handle:\n line = line.strip('\\n')\n lin_reg_lst.append(line)\n except IOError:\n print('Could not open ' + standard_input_file + ' for reading.')\n quit(1)\n return lin_reg_lst\n\n\ndef process_info(info_file):\n try:\n info_dict = {}\n with open(info_file, 'r') as in_handle:\n for line in in_handle:\n line = line.strip()\n items = re.split(' ', line)\n well_lst = re.split(',', items[1])\n info_dict[items[0]] = {'wells': well_lst, 'conc': float(\n items[2]), 'dil': float(items[3])}\n except IOError:\n print('Could not open ' + args.info + ' for reading.')\n quit(1)\n return info_dict\n\n\ndef abs_to_subconc(meas_df, info_dict, m, c):\n for sample in info_dict.keys():\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n for row in meas_df[i[0]]:\n count = 1\n for el in row:\n if type(el) != str:\n conc = (el - c) / m\n meas_df[i[0], count] = conc\n count += 1\n return meas_df\n\n\ndef process_blank(blank_file, std_m, std_c):\n blank_df = pd.read_csv(blank_file)\n blank_df = blank_df.to_numpy()\n i = np.where(blank_df == 'Time [s]')\n if len(i[0]) == 0:\n b_arr = []\n i = np.where(blank_df == 'Time [ms]')\n for row in blank_df[i[0]]:\n count = 1\n arr = []\n for el in row:\n if type(el) != str:\n sec = el * 0.001\n arr.append(sec)\n count += 1\n b_arr.append(arr)\n blank_x = np.vstack(b_arr)\n av_lst = []\n for row in np.transpose(blank_x):\n av = sum(row) / len(row)\n av_lst.append(av)\n blank_x = np.transpose(np.array(av_lst))\n else:\n blank_x = np.array(blank_df[i[0]][0, 1:])\n arr = []\n for row in blank_df:\n if re.search('^[A-Z]\\\\d\\\\d?$', row[0]):\n arr.append(row[1:])\n if len(arr) < 2:\n blank_arr = np.array(arr)\n else:\n blank_arr = np.vstack(arr)\n count_r = 0\n for row in blank_arr:\n count_c = 0\n for el in row:\n if type(el) != str:\n conc = (el - std_c) / std_m\n blank_arr[count_r, count_c] = conc\n count_c += 1\n count_r += 1\n av_lst = []\n for row in np.transpose(blank_arr):\n av = sum(row) / len(row)\n av_lst.append(av)\n if len(av_lst) < 2:\n blank_y = np.transpose(np.array(av_lst))\n else:\n blank_y = np.transpose(np.vstack(av_lst))\n b_m, b_c, b_r, b_p, stderr = stats.linregress(blank_x.astype(float),\n blank_y.astype(float))\n return b_m\n\n\ndef act_calc(meas_df, info_dict, b_m, std_m, std_c):\n act_dict = {}\n while True:\n print('How many time intervals you want to take for the ' +\n 'analysis? (most linear part from first to x)')\n m_lin = input()\n if m_lin.isnumeric() == True and int(m_lin) > 1:\n break\n m_lin = int(m_lin)\n while True:\n print('What is the volume per well? (in µL)')\n well_v = input()\n print('\\n')\n if well_v.isnumeric() == True:\n break\n time = np.where(meas_df == 'Time [s]')\n if len(time[0]) == 0:\n m_arr = []\n time = np.where(meas_df == 'Time [ms]')\n for row in meas_df[time[0]]:\n arr = []\n count = 1\n for el in row:\n if type(el) != str:\n sec = el * 0.001\n arr.append(sec)\n count += 1\n m_arr.append(arr)\n x = np.vstack(m_arr)\n av_lst = []\n for row in np.transpose(x):\n av = sum(row) / len(row)\n av_lst.append(av)\n x = np.transpose(np.array(av_lst[0:m_lin]))\n else:\n x = meas_df[time[0]]\n x = np.array(x[0, 1:m_lin + 1])\n for sample in info_dict.keys():\n e_conc = info_dict[sample]['conc']\n e_dil = info_dict[sample]['dil']\n e_conc = float(e_conc) / (float(e_dil) * 1000)\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n y = meas_df[i[0]]\n y = np.array(y[0, 1:m_lin + 1])\n m, c, r, p, stderr = stats.linregress(x.astype(float), y.astype\n (float))\n print(sample + ' >R²' + str(r))\n plt.figure(1, figsize=[10, 5], frameon=False)\n plt.plot(x, y, 'x', markersize=2, label=sample)\n plt.plot(x, m * x + c, 'r', linestyle='--', color='gray')\n plt.savefig('activity_plot.png')\n m = abs(m - b_m)\n sact = m * 60 * int(well_v) / (10 * 1000000 * float(e_conc))\n act_dict.setdefault(sample, [])\n act_dict[sample].append(sact)\n summery_dict = {}\n summery_dict['interval'] = m_lin\n for sample in act_dict.keys():\n av_sact = sum(act_dict[sample]) / len(act_dict[sample])\n print('average specific activity of ' + sample + ' = ' + str(\n av_sact) + ' U/mg')\n std = np.std(act_dict[sample])\n print('standard deviation for ' + sample + ': +/-' + str(std))\n summery_dict[sample] = {'av_sact': av_sact, 'std': std}\n return summery_dict\n\n\ndef gen_output(summery_dict, name):\n try:\n with open(name + '_activity.out', 'w') as out_handle:\n out_handle.write('time interval from 1. to ' + str(summery_dict\n ['interval']) + \"\"\". was used for calculations.\n\"\"\")\n for sample in summery_dict.keys():\n if sample == 'interval':\n continue\n else:\n out_handle.write(str(sample) + ': s = ' + str(\n summery_dict[sample]['av_sact']) + ' +/- ' + str(\n summery_dict[sample]['std']) + '\\n')\n except IOError:\n print('Could not open activity.out for writing.')\n quit(1)\n",
"step-5": "############################## Import Modules ##################################\nimport pandas as pd\nimport numpy as np\nimport re\nfrom scipy import stats\nimport matplotlib.pyplot as plt\n\n############################## Define Functions ################################\n# generate list containing data of standard curve\ndef process_std(standard_input_file):\n try:\n with open(standard_input_file, 'r') as in_handle:\n lin_reg_lst = []\n for line in in_handle:\n line = line.strip('\\n')\n lin_reg_lst.append(line)\n except IOError:\n print(\"Could not open \" + standard_input_file + \" for reading.\")\n quit(1)\n return lin_reg_lst\n\n# generate info_dict containing information about the samples\ndef process_info(info_file):\n try:\n info_dict = {}\n with open(info_file, 'r') as in_handle:\n for line in in_handle:\n line = line.strip()\n items = re.split(' ', line)\n well_lst = re.split(',', items[1])\n info_dict[items[0]] = {'wells': well_lst,\n 'conc': float(items[2]),\n 'dil': float(items[3])}\n except IOError:\n print(\"Could not open \" + args.info + \" for reading.\")\n quit(1)\n return info_dict\n\n# calculate substrate concentration from absorption values\ndef abs_to_subconc(meas_df, info_dict, m, c):\n # find data series belonging to a sample\n for sample in info_dict.keys():\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n # convert absorption values to substrate concentration\n for row in meas_df[i[0]]:\n count = 1\n for el in row:\n if type(el) != str:\n conc = (el - c)/m\n meas_df[i[0], count] = conc\n count += 1\n return meas_df\n\n# process blank to get slope\ndef process_blank(blank_file, std_m, std_c):\n blank_df = pd.read_csv(blank_file)\n blank_df = blank_df.to_numpy()\n # define x values\n i = np.where(blank_df == 'Time [s]')\n # fall-back for case that time per well is measured \n if len(i[0]) == 0:\n b_arr = []\n i = np.where(blank_df == 'Time [ms]')\n # convert ms to s\n for row in blank_df[i[0]]:\n count = 1\n arr = []\n for el in row:\n if type(el) != str:\n sec = el*0.001\n arr.append(sec)\n count += 1\n b_arr.append(arr)\n blank_x = np.vstack(b_arr)\n # make average for time\n av_lst = []\n for row in np.transpose(blank_x):\n av = sum(row) / len(row)\n av_lst.append(av)\n blank_x = np.transpose(np.array(av_lst))\n else:\n blank_x = np.array(blank_df[i[0]][0, 1:])\n # define y values\n arr = []\n for row in blank_df:\n if re.search(r'^[A-Z]\\d\\d?$', row[0]):\n arr.append(row[1:])\n if len(arr) < 2:\n blank_arr = np.array(arr)\n else:\n blank_arr = np.vstack(arr)\n count_r = 0\n for row in blank_arr:\n count_c = 0\n for el in row:\n if type(el) != str:\n conc = (el - std_c)/std_m\n blank_arr[count_r, count_c] = conc\n count_c += 1\n count_r += 1\n av_lst = []\n for row in np.transpose(blank_arr):\n av = sum(row) / len(row)\n av_lst.append(av)\n if len(av_lst) < 2:\n blank_y = np.transpose(np.array(av_lst))\n else:\n blank_y = np.transpose(np.vstack(av_lst))\n b_m, b_c, b_r, b_p, stderr = stats.linregress(blank_x.astype(float),\n blank_y.astype(float))\n return b_m\n\n# calculate average activity and standard deviation of each sample\ndef act_calc(meas_df, info_dict, b_m, std_m, std_c):\n act_dict = {}\n # m_lin defines most linear part from first point\n while True:\n print(\"How many time intervals you want to take for the \"\n + \"analysis? (most linear part from first to x)\")\n m_lin = input()\n if m_lin.isnumeric() == True and int(m_lin) > 1:\n break\n m_lin = int(m_lin)\n # define volume per well\n while True:\n print(\"What is the volume per well? (in µL)\")\n well_v = input()\n print(\"\\n\")\n if well_v.isnumeric() == True:\n break\n # define x values\n time = np.where(meas_df == 'Time [s]')\n # fall-back for case that time per well is measured \n if len(time[0]) == 0:\n m_arr = []\n time = np.where(meas_df == 'Time [ms]')\n # convert ms to s\n for row in meas_df[time[0]]:\n arr = []\n count = 1\n for el in row:\n if type(el) != str:\n sec = el*0.001\n arr.append(sec)\n count += 1\n m_arr.append(arr)\n x = np.vstack(m_arr)\n # make average for time values\n av_lst = []\n for row in np.transpose(x):\n av = sum(row) / len(row)\n av_lst.append(av)\n x = np.transpose(np.array(av_lst[0:m_lin]))\n else:\n x = meas_df[time[0]]\n x = np.array(x[0, 1:m_lin + 1])\n # process sample data\n for sample in info_dict.keys():\n e_conc = info_dict[sample]['conc']\n e_dil = info_dict[sample]['dil']\n e_conc = float(e_conc)/ (float(e_dil)*1000)\n for well in info_dict[sample]['wells']:\n i = np.where(meas_df == well)\n y = meas_df[i[0]]\n y = np.array(y[0, 1:m_lin + 1])\n m, c, r, p, stderr = stats.linregress(x.astype(float),\n y.astype(float))\n print(sample + ' >R²' + str(r))\n # plot substrate decrease\n plt.figure(1, figsize=[10,5], frameon=False)\n plt.plot(x, y, 'x', markersize=2, label=sample)\n plt.plot(x, m*x + c, 'r', linestyle='--', color='gray')\n plt.savefig('activity_plot.png')\n # calculate specific activity\n m = abs(m - b_m)\n sact = (m*60*int(well_v)) / (10*1000000*float(e_conc))\n act_dict.setdefault(sample, [])\n act_dict[sample].append(sact)\n # calculate average specific activity per sample\n summery_dict = {}\n summery_dict['interval'] = m_lin\n for sample in act_dict.keys():\n av_sact = sum(act_dict[sample]) / len(act_dict[sample])\n print(\"average specific activity of \" + sample + \" = \"\n + str(av_sact) + \" U/mg\")\n # calculate standard deviation per sample\n std = np.std(act_dict[sample])\n print(\"standard deviation for \" + sample + \": +/-\" + str(std))\n # generate summery_dict for output file\n summery_dict[sample] = {'av_sact': av_sact, 'std': std}\n return summery_dict\n\n# process summery_dict to generate output file\ndef gen_output(summery_dict, name):\n try:\n with open(name + '_activity.out', 'w') as out_handle:\n out_handle.write('time interval from 1. to '\n + str(summery_dict['interval'])\n + '. was used for calculations.\\n')\n for sample in summery_dict.keys():\n if sample == 'interval':\n continue\n else:\n out_handle.write(str(sample) + ': s = '\n + str(summery_dict[sample]['av_sact'])\n + ' +/- '\n + str(summery_dict[sample]['std']) + '\\n')\n except IOError:\n print(\"Could not open activity.out for writing.\")\n quit(1)\n",
"step-ids": [
3,
4,
5,
6,
8
]
}
|
[
3,
4,
5,
6,
8
] |
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 9 16:22:21 2018
@author: SDis
"""
#import Code.Members_module
class Resources:
""" Parent class for Books and eResources containg the main data fields and related setters and getters"""
def __init__(self, title, author, publisher, year):
self.title = title
self.author = author
self.publisher = publisher
self.year = year
#Setters
def set_title (self, title):
"""Method that sets the title of a resource object"""
self.title = title
def set_author (self, author):
"""Method that sets the author of a resource object"""
self.author = author
def set_publisher (self, publisher):
"""Method that sets the publisher of a resource object"""
self.publisher = publisher
def set_year (self, year):
"""Method that sets the year of a resource object"""
self.year = year
#Getters
def get_title(self):
"""Method that gets the title of a resource object"""
return self.title
def get_author(self):
"""Method that gets the author of a resource object"""
return self.author
def get_publisher(self):
"""Method that gets the publisher of a resource object"""
return self.publisher
def get_year(self):
"""Method that gets the year of a resource object"""
return self.year
def get_resource_details (self):
"""Method that returns the main details of a resource object"""
return (f"[Title:\"{self.get_title()}\"] [Author:{self.get_author()}] [Publisher:{self.get_publisher()}] [Year:{self.get_year()}]")
|
normal
|
{
"blob_id": "0709d413ddbe41a0c97f94b7819fdfded241d3fc",
"index": 691,
"step-1": "<mask token>\n\n\nclass Resources:\n <mask token>\n\n def __init__(self, title, author, publisher, year):\n self.title = title\n self.author = author\n self.publisher = publisher\n self.year = year\n <mask token>\n <mask token>\n\n def set_publisher(self, publisher):\n \"\"\"Method that sets the publisher of a resource object\"\"\"\n self.publisher = publisher\n <mask token>\n <mask token>\n <mask token>\n\n def get_publisher(self):\n \"\"\"Method that gets the publisher of a resource object\"\"\"\n return self.publisher\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass Resources:\n <mask token>\n\n def __init__(self, title, author, publisher, year):\n self.title = title\n self.author = author\n self.publisher = publisher\n self.year = year\n\n def set_title(self, title):\n \"\"\"Method that sets the title of a resource object\"\"\"\n self.title = title\n\n def set_author(self, author):\n \"\"\"Method that sets the author of a resource object\"\"\"\n self.author = author\n\n def set_publisher(self, publisher):\n \"\"\"Method that sets the publisher of a resource object\"\"\"\n self.publisher = publisher\n\n def set_year(self, year):\n \"\"\"Method that sets the year of a resource object\"\"\"\n self.year = year\n <mask token>\n\n def get_author(self):\n \"\"\"Method that gets the author of a resource object\"\"\"\n return self.author\n\n def get_publisher(self):\n \"\"\"Method that gets the publisher of a resource object\"\"\"\n return self.publisher\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Resources:\n <mask token>\n\n def __init__(self, title, author, publisher, year):\n self.title = title\n self.author = author\n self.publisher = publisher\n self.year = year\n\n def set_title(self, title):\n \"\"\"Method that sets the title of a resource object\"\"\"\n self.title = title\n\n def set_author(self, author):\n \"\"\"Method that sets the author of a resource object\"\"\"\n self.author = author\n\n def set_publisher(self, publisher):\n \"\"\"Method that sets the publisher of a resource object\"\"\"\n self.publisher = publisher\n\n def set_year(self, year):\n \"\"\"Method that sets the year of a resource object\"\"\"\n self.year = year\n <mask token>\n\n def get_author(self):\n \"\"\"Method that gets the author of a resource object\"\"\"\n return self.author\n\n def get_publisher(self):\n \"\"\"Method that gets the publisher of a resource object\"\"\"\n return self.publisher\n <mask token>\n\n def get_resource_details(self):\n \"\"\"Method that returns the main details of a resource object\"\"\"\n return (\n f'[Title:\"{self.get_title()}\"] [Author:{self.get_author()}] [Publisher:{self.get_publisher()}] [Year:{self.get_year()}]'\n )\n",
"step-4": "<mask token>\n\n\nclass Resources:\n <mask token>\n\n def __init__(self, title, author, publisher, year):\n self.title = title\n self.author = author\n self.publisher = publisher\n self.year = year\n\n def set_title(self, title):\n \"\"\"Method that sets the title of a resource object\"\"\"\n self.title = title\n\n def set_author(self, author):\n \"\"\"Method that sets the author of a resource object\"\"\"\n self.author = author\n\n def set_publisher(self, publisher):\n \"\"\"Method that sets the publisher of a resource object\"\"\"\n self.publisher = publisher\n\n def set_year(self, year):\n \"\"\"Method that sets the year of a resource object\"\"\"\n self.year = year\n <mask token>\n\n def get_author(self):\n \"\"\"Method that gets the author of a resource object\"\"\"\n return self.author\n\n def get_publisher(self):\n \"\"\"Method that gets the publisher of a resource object\"\"\"\n return self.publisher\n\n def get_year(self):\n \"\"\"Method that gets the year of a resource object\"\"\"\n return self.year\n\n def get_resource_details(self):\n \"\"\"Method that returns the main details of a resource object\"\"\"\n return (\n f'[Title:\"{self.get_title()}\"] [Author:{self.get_author()}] [Publisher:{self.get_publisher()}] [Year:{self.get_year()}]'\n )\n",
"step-5": "# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Tue Oct 9 16:22:21 2018\n\n@author: SDis\n\"\"\"\n#import Code.Members_module\n\nclass Resources:\n \"\"\" Parent class for Books and eResources containg the main data fields and related setters and getters\"\"\"\n def __init__(self, title, author, publisher, year):\n self.title = title\n self.author = author\n self.publisher = publisher\n self.year = year \n#Setters \n def set_title (self, title):\n \"\"\"Method that sets the title of a resource object\"\"\"\n self.title = title \n def set_author (self, author):\n \"\"\"Method that sets the author of a resource object\"\"\"\n self.author = author\n def set_publisher (self, publisher):\n \"\"\"Method that sets the publisher of a resource object\"\"\"\n self.publisher = publisher\n def set_year (self, year):\n \"\"\"Method that sets the year of a resource object\"\"\"\n self.year = year\n#Getters \n def get_title(self):\n \"\"\"Method that gets the title of a resource object\"\"\"\n return self.title\n def get_author(self):\n \"\"\"Method that gets the author of a resource object\"\"\"\n return self.author\n def get_publisher(self):\n \"\"\"Method that gets the publisher of a resource object\"\"\"\n return self.publisher\n def get_year(self):\n \"\"\"Method that gets the year of a resource object\"\"\"\n return self.year\n\n def get_resource_details (self):\n \"\"\"Method that returns the main details of a resource object\"\"\"\n return (f\"[Title:\\\"{self.get_title()}\\\"] [Author:{self.get_author()}] [Publisher:{self.get_publisher()}] [Year:{self.get_year()}]\")\n \n\n \n\n\n\n\n",
"step-ids": [
4,
8,
9,
10,
13
]
}
|
[
4,
8,
9,
10,
13
] |
from __future__ import unicode_literals
import json, alice_static
import logging
from random import choice
# Импортируем подмодули Flask для запуска веб-сервиса.
from flask import Flask, request
app = Flask(__name__)
logging.basicConfig(level=logging.DEBUG)
# Хранилище данных о сессиях.
sessionStorage = {}
# Задаем параметры приложения Flask.
@app.route("/", methods=['POST'])
def format_new_question(quest):
question = choice(alice_static.questions)
return question.format(quest=quest)
def timerout()
user_storage['try'] += 1
timeup = choice(alice_static.answer_timeup)
right_answer=choice(alice_static.right_answer)
real_answer=quest_data[user_storage['answer']]
again=choice(alice_static.again)
response.set_text('{timeup}\n{right_answer}{real_answer}\n{again}'.format(
timeup=timeup,
right_answer=right_answer
real_answer=real_answer
again=again
))
buttons = [{
"title": "Да",
"hide": True
}, {
"title": "Нет",
"hide": True
}]
response.set_buttons(buttons)
#Выводим кнопочки
user_storage['state'] = REPLY
#Меняем состояние пользователя
def handle_dialog(request, response, user_storage):
if request.is_new_session:
# Это новый пользователь.
# Инициализируем сессию и поприветствуем его.
greetings = choice(alice_static.greetings)
user_storage = {
'quest': quest,
'state': STOP,
#STOP-вопрос не задан Wait-ожидается ответ Reply - ответ получен
'wins': 0,
'tries':0
}
response.set_text('{greetings}'.format(
greetings=greetings
))
if user_storage.get('state') == STOP:
newquest = choice(alice_static.newquest)
response.set_text('{newquest}'.format(
newquest=newquest,
))
buttons = [{
"title": "Да",
"hide": True
}, {
"title": "Нет",
"hide": True
}]
response.set_buttons(buttons)
if request.command.lower() == 'да':
quest = choice(list(quest_data.keys()))
user_storage = {
'quest': quest,
'state': WAIT,
'wins': user_storage['wins'],
'tries': user_storage ['tries']
}
response.set_text(format_new_question(quest))
elif request.command.lower() == 'нет':
response.set_text("Желаете выйти?")
buttons = [{
"title": "Да",
"hide": True
}, {
"title": "Нет",
"hide": True
}]
response.set_buttons(buttons)
if request.command.lower() == 'нет':
user_storage['state'] = STOP
elif request.command.lower() == 'да':
response.set_end_session(True)
goodbye = choice(alice_static.goodbye)
response.set_text(goodbye)
else:
response.set_buttons(buttons)
response.set_text ('Извините я не понимаю, вы хотите выйти?')
else:
buttons = [{
"title": "Да",
"hide": True
}, {
"title": "Нет",
"hide": True
}]
response.set_buttons(buttons)
response.set_text('Выбери один из двух вариантов - Да или Нет')
if user_storage.get('state') == WAIT:
# Обрабатываем ответ пользователя.
timer = Timer(30.0, timerout)
timer.start()
if request.command.lower() == quest_data[user_storage['answer']].lower():
# Пользователь угадал.
user_storage['wins'] += 1
user_storage['try'] +=1
#Добавляем победу и попытку
correct = choice(alice_static.answer_correct)
again=choice(alice_static.again)
#Выбираем реплику для поздравления
response.set_text('{correct}\n{again}'.format(
correct=correct
again=again
))
#Поздравляем и спрашиваем хочет ли пользователь сыграть ещё раз
buttons = [{
"title": "Да",
"hide": True
}, {
"title": "Нет",
"hide": True
}]
response.set_buttons(buttons)
#Выводим кнопочки
user_storage['state'] = REPLY
#Меняем состояние пользователя
else:
user_storage['try'] += 1
incorrect = choice(alice_static.answer_incorrect)
right_answer=choice(alice_static.right_answer)
real_answer=quest_data[user_storage['answer']]
again=choice(alice_static.again)
response.set_text('{incorrect}\n{right_answer}{real_answer}\n{again}'.format(
incorrect=incorrect,
right_answer=right_answer
real_answer=real_answer
again=again
))
buttons = [{
"title": "Да",
"hide": True
}, {
"title": "Нет",
"hide": True
}]
response.set_buttons(buttons)
#Выводим кнопочки
user_storage['state'] = REPLY
#Меняем состояние пользователя
elif user_storage.get('state') == REPLY:
if request.command.lower() == 'да':
quest = choice(list(quest_data.keys()))
user_storage = {
'quest': quest,
'state': WAIT,
'wins': user_storage['wins'],
'tries': user_storage ['tries']
}
response.set_text(format_new_question(quest))
elif request.command.lower() == 'нет':
response.set_end_session(True)
goodbye = choice(alice_static.goodbye)
response.set_text(goodbye)
else:
buttons = [{
"title": "Да",
"hide": True
}, {
"title": "Нет",
"hide": True
}]
response.set_buttons(buttons)
response.set_text('Выбери один из двух вариантов - Да или Нет')
|
normal
|
{
"blob_id": "2df679fc3407c15f5d0c006e9da8d1fc74bcf875",
"index": 5705,
"step-1": "from __future__ import unicode_literals\nimport json, alice_static\nimport logging\nfrom random import choice\n# Импортируем подмодули Flask для запуска веб-сервиса.\nfrom flask import Flask, request\napp = Flask(__name__)\n\n\nlogging.basicConfig(level=logging.DEBUG)\n\n# Хранилище данных о сессиях.\nsessionStorage = {}\n\n# Задаем параметры приложения Flask.\n@app.route(\"/\", methods=['POST'])\n\ndef format_new_question(quest):\n question = choice(alice_static.questions)\n return question.format(quest=quest)\ndef timerout()\n user_storage['try'] += 1\n timeup = choice(alice_static.answer_timeup)\n right_answer=choice(alice_static.right_answer)\n real_answer=quest_data[user_storage['answer']]\n again=choice(alice_static.again)\n response.set_text('{timeup}\\n{right_answer}{real_answer}\\n{again}'.format(\n timeup=timeup,\n right_answer=right_answer\n real_answer=real_answer\n again=again\n ))\n buttons = [{\n \"title\": \"Да\",\n \"hide\": True\n }, {\n \"title\": \"Нет\",\n \"hide\": True\n }]\n response.set_buttons(buttons)\n #Выводим кнопочки\n user_storage['state'] = REPLY\n #Меняем состояние пользователя\n\ndef handle_dialog(request, response, user_storage):\n if request.is_new_session:\n # Это новый пользователь.\n # Инициализируем сессию и поприветствуем его.\n greetings = choice(alice_static.greetings)\n \n user_storage = {\n 'quest': quest,\n 'state': STOP,\n #STOP-вопрос не задан Wait-ожидается ответ Reply - ответ получен\n 'wins': 0,\n 'tries':0\n }\n\n response.set_text('{greetings}'.format(\n greetings=greetings\n ))\n if user_storage.get('state') == STOP:\n newquest = choice(alice_static.newquest)\n response.set_text('{newquest}'.format(\n newquest=newquest,\n ))\n buttons = [{\n \"title\": \"Да\",\n \"hide\": True\n }, {\n \"title\": \"Нет\",\n \"hide\": True\n }]\n response.set_buttons(buttons)\n if request.command.lower() == 'да':\n quest = choice(list(quest_data.keys()))\n user_storage = {\n 'quest': quest,\n 'state': WAIT,\n 'wins': user_storage['wins'],\n 'tries': user_storage ['tries']\n }\n response.set_text(format_new_question(quest))\n elif request.command.lower() == 'нет':\n response.set_text(\"Желаете выйти?\")\n buttons = [{\n \"title\": \"Да\",\n \"hide\": True\n }, {\n \"title\": \"Нет\",\n \"hide\": True\n }]\n response.set_buttons(buttons)\n if request.command.lower() == 'нет': \n user_storage['state'] = STOP\n elif request.command.lower() == 'да':\n response.set_end_session(True)\n goodbye = choice(alice_static.goodbye)\n response.set_text(goodbye)\n else:\n response.set_buttons(buttons)\n response.set_text ('Извините я не понимаю, вы хотите выйти?')\n else:\n buttons = [{\n \"title\": \"Да\",\n \"hide\": True\n }, {\n \"title\": \"Нет\",\n \"hide\": True\n }]\n response.set_buttons(buttons)\n response.set_text('Выбери один из двух вариантов - Да или Нет') \n if user_storage.get('state') == WAIT:\n # Обрабатываем ответ пользователя.\n timer = Timer(30.0, timerout)\n timer.start()\n if request.command.lower() == quest_data[user_storage['answer']].lower():\n # Пользователь угадал.\n user_storage['wins'] += 1\n user_storage['try'] +=1\n #Добавляем победу и попытку\n correct = choice(alice_static.answer_correct)\n again=choice(alice_static.again)\n #Выбираем реплику для поздравления\n\n response.set_text('{correct}\\n{again}'.format(\n correct=correct\n again=again\n ))\n #Поздравляем и спрашиваем хочет ли пользователь сыграть ещё раз\n\n buttons = [{\n \"title\": \"Да\",\n \"hide\": True\n }, {\n \"title\": \"Нет\",\n \"hide\": True\n }]\n response.set_buttons(buttons)\n #Выводим кнопочки\n user_storage['state'] = REPLY\n #Меняем состояние пользователя\n else:\n user_storage['try'] += 1\n incorrect = choice(alice_static.answer_incorrect)\n right_answer=choice(alice_static.right_answer)\n real_answer=quest_data[user_storage['answer']]\n again=choice(alice_static.again)\n response.set_text('{incorrect}\\n{right_answer}{real_answer}\\n{again}'.format(\n incorrect=incorrect,\n right_answer=right_answer\n real_answer=real_answer\n again=again\n ))\n buttons = [{\n \"title\": \"Да\",\n \"hide\": True\n }, {\n \"title\": \"Нет\",\n \"hide\": True\n }]\n response.set_buttons(buttons)\n #Выводим кнопочки\n user_storage['state'] = REPLY\n #Меняем состояние пользователя\n elif user_storage.get('state') == REPLY:\n if request.command.lower() == 'да':\n quest = choice(list(quest_data.keys()))\n user_storage = {\n 'quest': quest,\n 'state': WAIT,\n 'wins': user_storage['wins'],\n 'tries': user_storage ['tries']\n }\n response.set_text(format_new_question(quest))\n\n elif request.command.lower() == 'нет':\n response.set_end_session(True)\n goodbye = choice(alice_static.goodbye)\n response.set_text(goodbye)\n else:\n buttons = [{\n \"title\": \"Да\",\n \"hide\": True\n }, {\n \"title\": \"Нет\",\n \"hide\": True\n }]\n response.set_buttons(buttons)\n response.set_text('Выбери один из двух вариантов - Да или Нет')\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
}
|
[
0
] |
<|reserved_special_token_0|>
class BaseCollectionSerializer(ResolweBaseSerializer):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def get_status(self, collection):
"""Return status of the collection based on the status of data objects.
When collection contains no data objects None is returned.
"""
status_order = [Data.STATUS_ERROR, Data.STATUS_UPLOADING, Data.
STATUS_PROCESSING, Data.STATUS_PREPARING, Data.STATUS_WAITING,
Data.STATUS_RESOLVING, Data.STATUS_DONE]
status_set = set(collection.data_statuses) if hasattr(collection,
'data_statuses') else collection.data.values_list('status',
flat=True).distinct()
if not status_set:
return None
for status in status_order:
if status in status_set:
return status
logger.warning('Could not determine the status of a collection.',
extra={'collection': collection.__dict__})
return None
class Meta:
"""CollectionSerializer Meta options."""
model = Collection
read_only_fields = ('created', 'descriptor_dirty', 'duplicated',
'id', 'modified', 'data_count', 'status')
update_protected_fields = 'contributor',
fields = read_only_fields + update_protected_fields + ('description',
'descriptor', 'descriptor_schema', 'name', 'settings', 'slug',
'tags')
class CollectionSerializer(BaseCollectionSerializer):
"""Serializer for Collection objects."""
entity_count = serializers.SerializerMethodField(required=False)
def get_entity_count(self, collection):
"""Return number of entities on the collection."""
return collection.entity_count if hasattr(collection, 'entity_count'
) else collection.entity_set.count()
class Meta(BaseCollectionSerializer.Meta):
"""CollectionSerializer Meta options."""
read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (
'entity_count',)
fields = BaseCollectionSerializer.Meta.fields + ('entity_count',)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BaseCollectionSerializer(ResolweBaseSerializer):
<|reserved_special_token_0|>
settings = ProjectableJSONField(required=False)
descriptor = ProjectableJSONField(required=False)
descriptor_schema = DictRelatedField(queryset=DescriptorSchema.objects.
all(), serializer=DescriptorSchemaSerializer, allow_null=True,
required=False)
data_count = serializers.SerializerMethodField(required=False)
status = serializers.SerializerMethodField(required=False)
def get_data_count(self, collection):
"""Return number of data objects on the collection."""
return collection.data_count if hasattr(collection, 'data_count'
) else collection.data.count()
def get_status(self, collection):
"""Return status of the collection based on the status of data objects.
When collection contains no data objects None is returned.
"""
status_order = [Data.STATUS_ERROR, Data.STATUS_UPLOADING, Data.
STATUS_PROCESSING, Data.STATUS_PREPARING, Data.STATUS_WAITING,
Data.STATUS_RESOLVING, Data.STATUS_DONE]
status_set = set(collection.data_statuses) if hasattr(collection,
'data_statuses') else collection.data.values_list('status',
flat=True).distinct()
if not status_set:
return None
for status in status_order:
if status in status_set:
return status
logger.warning('Could not determine the status of a collection.',
extra={'collection': collection.__dict__})
return None
class Meta:
"""CollectionSerializer Meta options."""
model = Collection
read_only_fields = ('created', 'descriptor_dirty', 'duplicated',
'id', 'modified', 'data_count', 'status')
update_protected_fields = 'contributor',
fields = read_only_fields + update_protected_fields + ('description',
'descriptor', 'descriptor_schema', 'name', 'settings', 'slug',
'tags')
class CollectionSerializer(BaseCollectionSerializer):
"""Serializer for Collection objects."""
entity_count = serializers.SerializerMethodField(required=False)
def get_entity_count(self, collection):
"""Return number of entities on the collection."""
return collection.entity_count if hasattr(collection, 'entity_count'
) else collection.entity_set.count()
class Meta(BaseCollectionSerializer.Meta):
"""CollectionSerializer Meta options."""
read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (
'entity_count',)
fields = BaseCollectionSerializer.Meta.fields + ('entity_count',)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class BaseCollectionSerializer(ResolweBaseSerializer):
"""Base serializer for Collection objects."""
settings = ProjectableJSONField(required=False)
descriptor = ProjectableJSONField(required=False)
descriptor_schema = DictRelatedField(queryset=DescriptorSchema.objects.
all(), serializer=DescriptorSchemaSerializer, allow_null=True,
required=False)
data_count = serializers.SerializerMethodField(required=False)
status = serializers.SerializerMethodField(required=False)
def get_data_count(self, collection):
"""Return number of data objects on the collection."""
return collection.data_count if hasattr(collection, 'data_count'
) else collection.data.count()
def get_status(self, collection):
"""Return status of the collection based on the status of data objects.
When collection contains no data objects None is returned.
"""
status_order = [Data.STATUS_ERROR, Data.STATUS_UPLOADING, Data.
STATUS_PROCESSING, Data.STATUS_PREPARING, Data.STATUS_WAITING,
Data.STATUS_RESOLVING, Data.STATUS_DONE]
status_set = set(collection.data_statuses) if hasattr(collection,
'data_statuses') else collection.data.values_list('status',
flat=True).distinct()
if not status_set:
return None
for status in status_order:
if status in status_set:
return status
logger.warning('Could not determine the status of a collection.',
extra={'collection': collection.__dict__})
return None
class Meta:
"""CollectionSerializer Meta options."""
model = Collection
read_only_fields = ('created', 'descriptor_dirty', 'duplicated',
'id', 'modified', 'data_count', 'status')
update_protected_fields = 'contributor',
fields = read_only_fields + update_protected_fields + ('description',
'descriptor', 'descriptor_schema', 'name', 'settings', 'slug',
'tags')
class CollectionSerializer(BaseCollectionSerializer):
"""Serializer for Collection objects."""
entity_count = serializers.SerializerMethodField(required=False)
def get_entity_count(self, collection):
"""Return number of entities on the collection."""
return collection.entity_count if hasattr(collection, 'entity_count'
) else collection.entity_set.count()
class Meta(BaseCollectionSerializer.Meta):
"""CollectionSerializer Meta options."""
read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (
'entity_count',)
fields = BaseCollectionSerializer.Meta.fields + ('entity_count',)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
import logging
from rest_framework import serializers
from resolwe.flow.models import Collection, Data, DescriptorSchema
from resolwe.rest.fields import ProjectableJSONField
from .base import ResolweBaseSerializer
from .descriptor import DescriptorSchemaSerializer
from .fields import DictRelatedField
logger = logging.getLogger(__name__)
class BaseCollectionSerializer(ResolweBaseSerializer):
"""Base serializer for Collection objects."""
settings = ProjectableJSONField(required=False)
descriptor = ProjectableJSONField(required=False)
descriptor_schema = DictRelatedField(queryset=DescriptorSchema.objects.
all(), serializer=DescriptorSchemaSerializer, allow_null=True,
required=False)
data_count = serializers.SerializerMethodField(required=False)
status = serializers.SerializerMethodField(required=False)
def get_data_count(self, collection):
"""Return number of data objects on the collection."""
return collection.data_count if hasattr(collection, 'data_count'
) else collection.data.count()
def get_status(self, collection):
"""Return status of the collection based on the status of data objects.
When collection contains no data objects None is returned.
"""
status_order = [Data.STATUS_ERROR, Data.STATUS_UPLOADING, Data.
STATUS_PROCESSING, Data.STATUS_PREPARING, Data.STATUS_WAITING,
Data.STATUS_RESOLVING, Data.STATUS_DONE]
status_set = set(collection.data_statuses) if hasattr(collection,
'data_statuses') else collection.data.values_list('status',
flat=True).distinct()
if not status_set:
return None
for status in status_order:
if status in status_set:
return status
logger.warning('Could not determine the status of a collection.',
extra={'collection': collection.__dict__})
return None
class Meta:
"""CollectionSerializer Meta options."""
model = Collection
read_only_fields = ('created', 'descriptor_dirty', 'duplicated',
'id', 'modified', 'data_count', 'status')
update_protected_fields = 'contributor',
fields = read_only_fields + update_protected_fields + ('description',
'descriptor', 'descriptor_schema', 'name', 'settings', 'slug',
'tags')
class CollectionSerializer(BaseCollectionSerializer):
"""Serializer for Collection objects."""
entity_count = serializers.SerializerMethodField(required=False)
def get_entity_count(self, collection):
"""Return number of entities on the collection."""
return collection.entity_count if hasattr(collection, 'entity_count'
) else collection.entity_set.count()
class Meta(BaseCollectionSerializer.Meta):
"""CollectionSerializer Meta options."""
read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (
'entity_count',)
fields = BaseCollectionSerializer.Meta.fields + ('entity_count',)
<|reserved_special_token_1|>
"""Resolwe collection serializer."""
import logging
from rest_framework import serializers
from resolwe.flow.models import Collection, Data, DescriptorSchema
from resolwe.rest.fields import ProjectableJSONField
from .base import ResolweBaseSerializer
from .descriptor import DescriptorSchemaSerializer
from .fields import DictRelatedField
logger = logging.getLogger(__name__)
class BaseCollectionSerializer(ResolweBaseSerializer):
"""Base serializer for Collection objects."""
settings = ProjectableJSONField(required=False)
descriptor = ProjectableJSONField(required=False)
descriptor_schema = DictRelatedField(
queryset=DescriptorSchema.objects.all(),
serializer=DescriptorSchemaSerializer,
allow_null=True,
required=False,
)
data_count = serializers.SerializerMethodField(required=False)
status = serializers.SerializerMethodField(required=False)
def get_data_count(self, collection):
"""Return number of data objects on the collection."""
# Use 'data_count' attribute when available. It is created in the
# BaseCollectionViewSet class.
return (
collection.data_count
if hasattr(collection, "data_count")
else collection.data.count()
)
def get_status(self, collection):
"""Return status of the collection based on the status of data objects.
When collection contains no data objects None is returned.
"""
status_order = [
Data.STATUS_ERROR,
Data.STATUS_UPLOADING,
Data.STATUS_PROCESSING,
Data.STATUS_PREPARING,
Data.STATUS_WAITING,
Data.STATUS_RESOLVING,
Data.STATUS_DONE,
]
# Use 'data_statuses' attribute when available. It is created in the
# BaseCollectionViewSet class. It contains all the distinct statuses of the
# data objects in the collection.
status_set = (
set(collection.data_statuses)
if hasattr(collection, "data_statuses")
else collection.data.values_list("status", flat=True).distinct()
)
if not status_set:
return None
for status in status_order:
if status in status_set:
return status
logger.warning(
"Could not determine the status of a collection.",
extra={"collection": collection.__dict__},
)
return None
class Meta:
"""CollectionSerializer Meta options."""
model = Collection
read_only_fields = (
"created",
"descriptor_dirty",
"duplicated",
"id",
"modified",
"data_count",
"status",
)
update_protected_fields = ("contributor",)
fields = (
read_only_fields
+ update_protected_fields
+ (
"description",
"descriptor",
"descriptor_schema",
"name",
"settings",
"slug",
"tags",
)
)
class CollectionSerializer(BaseCollectionSerializer):
"""Serializer for Collection objects."""
entity_count = serializers.SerializerMethodField(required=False)
def get_entity_count(self, collection):
"""Return number of entities on the collection."""
# Use 'entity_count' attribute when available. It is created in the
# BaseCollectionViewSet class.
return (
collection.entity_count
if hasattr(collection, "entity_count")
else collection.entity_set.count()
)
class Meta(BaseCollectionSerializer.Meta):
"""CollectionSerializer Meta options."""
read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (
"entity_count",
)
fields = BaseCollectionSerializer.Meta.fields + ("entity_count",)
|
flexible
|
{
"blob_id": "d6f8ec0fd8be0fa7019a84af47d08ab8b5b32d92",
"index": 1449,
"step-1": "<mask token>\n\n\nclass BaseCollectionSerializer(ResolweBaseSerializer):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def get_status(self, collection):\n \"\"\"Return status of the collection based on the status of data objects.\n\n When collection contains no data objects None is returned.\n \"\"\"\n status_order = [Data.STATUS_ERROR, Data.STATUS_UPLOADING, Data.\n STATUS_PROCESSING, Data.STATUS_PREPARING, Data.STATUS_WAITING,\n Data.STATUS_RESOLVING, Data.STATUS_DONE]\n status_set = set(collection.data_statuses) if hasattr(collection,\n 'data_statuses') else collection.data.values_list('status',\n flat=True).distinct()\n if not status_set:\n return None\n for status in status_order:\n if status in status_set:\n return status\n logger.warning('Could not determine the status of a collection.',\n extra={'collection': collection.__dict__})\n return None\n\n\n class Meta:\n \"\"\"CollectionSerializer Meta options.\"\"\"\n model = Collection\n read_only_fields = ('created', 'descriptor_dirty', 'duplicated',\n 'id', 'modified', 'data_count', 'status')\n update_protected_fields = 'contributor',\n fields = read_only_fields + update_protected_fields + ('description',\n 'descriptor', 'descriptor_schema', 'name', 'settings', 'slug',\n 'tags')\n\n\nclass CollectionSerializer(BaseCollectionSerializer):\n \"\"\"Serializer for Collection objects.\"\"\"\n entity_count = serializers.SerializerMethodField(required=False)\n\n def get_entity_count(self, collection):\n \"\"\"Return number of entities on the collection.\"\"\"\n return collection.entity_count if hasattr(collection, 'entity_count'\n ) else collection.entity_set.count()\n\n\n class Meta(BaseCollectionSerializer.Meta):\n \"\"\"CollectionSerializer Meta options.\"\"\"\n read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (\n 'entity_count',)\n fields = BaseCollectionSerializer.Meta.fields + ('entity_count',)\n",
"step-2": "<mask token>\n\n\nclass BaseCollectionSerializer(ResolweBaseSerializer):\n <mask token>\n settings = ProjectableJSONField(required=False)\n descriptor = ProjectableJSONField(required=False)\n descriptor_schema = DictRelatedField(queryset=DescriptorSchema.objects.\n all(), serializer=DescriptorSchemaSerializer, allow_null=True,\n required=False)\n data_count = serializers.SerializerMethodField(required=False)\n status = serializers.SerializerMethodField(required=False)\n\n def get_data_count(self, collection):\n \"\"\"Return number of data objects on the collection.\"\"\"\n return collection.data_count if hasattr(collection, 'data_count'\n ) else collection.data.count()\n\n def get_status(self, collection):\n \"\"\"Return status of the collection based on the status of data objects.\n\n When collection contains no data objects None is returned.\n \"\"\"\n status_order = [Data.STATUS_ERROR, Data.STATUS_UPLOADING, Data.\n STATUS_PROCESSING, Data.STATUS_PREPARING, Data.STATUS_WAITING,\n Data.STATUS_RESOLVING, Data.STATUS_DONE]\n status_set = set(collection.data_statuses) if hasattr(collection,\n 'data_statuses') else collection.data.values_list('status',\n flat=True).distinct()\n if not status_set:\n return None\n for status in status_order:\n if status in status_set:\n return status\n logger.warning('Could not determine the status of a collection.',\n extra={'collection': collection.__dict__})\n return None\n\n\n class Meta:\n \"\"\"CollectionSerializer Meta options.\"\"\"\n model = Collection\n read_only_fields = ('created', 'descriptor_dirty', 'duplicated',\n 'id', 'modified', 'data_count', 'status')\n update_protected_fields = 'contributor',\n fields = read_only_fields + update_protected_fields + ('description',\n 'descriptor', 'descriptor_schema', 'name', 'settings', 'slug',\n 'tags')\n\n\nclass CollectionSerializer(BaseCollectionSerializer):\n \"\"\"Serializer for Collection objects.\"\"\"\n entity_count = serializers.SerializerMethodField(required=False)\n\n def get_entity_count(self, collection):\n \"\"\"Return number of entities on the collection.\"\"\"\n return collection.entity_count if hasattr(collection, 'entity_count'\n ) else collection.entity_set.count()\n\n\n class Meta(BaseCollectionSerializer.Meta):\n \"\"\"CollectionSerializer Meta options.\"\"\"\n read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (\n 'entity_count',)\n fields = BaseCollectionSerializer.Meta.fields + ('entity_count',)\n",
"step-3": "<mask token>\n\n\nclass BaseCollectionSerializer(ResolweBaseSerializer):\n \"\"\"Base serializer for Collection objects.\"\"\"\n settings = ProjectableJSONField(required=False)\n descriptor = ProjectableJSONField(required=False)\n descriptor_schema = DictRelatedField(queryset=DescriptorSchema.objects.\n all(), serializer=DescriptorSchemaSerializer, allow_null=True,\n required=False)\n data_count = serializers.SerializerMethodField(required=False)\n status = serializers.SerializerMethodField(required=False)\n\n def get_data_count(self, collection):\n \"\"\"Return number of data objects on the collection.\"\"\"\n return collection.data_count if hasattr(collection, 'data_count'\n ) else collection.data.count()\n\n def get_status(self, collection):\n \"\"\"Return status of the collection based on the status of data objects.\n\n When collection contains no data objects None is returned.\n \"\"\"\n status_order = [Data.STATUS_ERROR, Data.STATUS_UPLOADING, Data.\n STATUS_PROCESSING, Data.STATUS_PREPARING, Data.STATUS_WAITING,\n Data.STATUS_RESOLVING, Data.STATUS_DONE]\n status_set = set(collection.data_statuses) if hasattr(collection,\n 'data_statuses') else collection.data.values_list('status',\n flat=True).distinct()\n if not status_set:\n return None\n for status in status_order:\n if status in status_set:\n return status\n logger.warning('Could not determine the status of a collection.',\n extra={'collection': collection.__dict__})\n return None\n\n\n class Meta:\n \"\"\"CollectionSerializer Meta options.\"\"\"\n model = Collection\n read_only_fields = ('created', 'descriptor_dirty', 'duplicated',\n 'id', 'modified', 'data_count', 'status')\n update_protected_fields = 'contributor',\n fields = read_only_fields + update_protected_fields + ('description',\n 'descriptor', 'descriptor_schema', 'name', 'settings', 'slug',\n 'tags')\n\n\nclass CollectionSerializer(BaseCollectionSerializer):\n \"\"\"Serializer for Collection objects.\"\"\"\n entity_count = serializers.SerializerMethodField(required=False)\n\n def get_entity_count(self, collection):\n \"\"\"Return number of entities on the collection.\"\"\"\n return collection.entity_count if hasattr(collection, 'entity_count'\n ) else collection.entity_set.count()\n\n\n class Meta(BaseCollectionSerializer.Meta):\n \"\"\"CollectionSerializer Meta options.\"\"\"\n read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (\n 'entity_count',)\n fields = BaseCollectionSerializer.Meta.fields + ('entity_count',)\n",
"step-4": "<mask token>\nimport logging\nfrom rest_framework import serializers\nfrom resolwe.flow.models import Collection, Data, DescriptorSchema\nfrom resolwe.rest.fields import ProjectableJSONField\nfrom .base import ResolweBaseSerializer\nfrom .descriptor import DescriptorSchemaSerializer\nfrom .fields import DictRelatedField\nlogger = logging.getLogger(__name__)\n\n\nclass BaseCollectionSerializer(ResolweBaseSerializer):\n \"\"\"Base serializer for Collection objects.\"\"\"\n settings = ProjectableJSONField(required=False)\n descriptor = ProjectableJSONField(required=False)\n descriptor_schema = DictRelatedField(queryset=DescriptorSchema.objects.\n all(), serializer=DescriptorSchemaSerializer, allow_null=True,\n required=False)\n data_count = serializers.SerializerMethodField(required=False)\n status = serializers.SerializerMethodField(required=False)\n\n def get_data_count(self, collection):\n \"\"\"Return number of data objects on the collection.\"\"\"\n return collection.data_count if hasattr(collection, 'data_count'\n ) else collection.data.count()\n\n def get_status(self, collection):\n \"\"\"Return status of the collection based on the status of data objects.\n\n When collection contains no data objects None is returned.\n \"\"\"\n status_order = [Data.STATUS_ERROR, Data.STATUS_UPLOADING, Data.\n STATUS_PROCESSING, Data.STATUS_PREPARING, Data.STATUS_WAITING,\n Data.STATUS_RESOLVING, Data.STATUS_DONE]\n status_set = set(collection.data_statuses) if hasattr(collection,\n 'data_statuses') else collection.data.values_list('status',\n flat=True).distinct()\n if not status_set:\n return None\n for status in status_order:\n if status in status_set:\n return status\n logger.warning('Could not determine the status of a collection.',\n extra={'collection': collection.__dict__})\n return None\n\n\n class Meta:\n \"\"\"CollectionSerializer Meta options.\"\"\"\n model = Collection\n read_only_fields = ('created', 'descriptor_dirty', 'duplicated',\n 'id', 'modified', 'data_count', 'status')\n update_protected_fields = 'contributor',\n fields = read_only_fields + update_protected_fields + ('description',\n 'descriptor', 'descriptor_schema', 'name', 'settings', 'slug',\n 'tags')\n\n\nclass CollectionSerializer(BaseCollectionSerializer):\n \"\"\"Serializer for Collection objects.\"\"\"\n entity_count = serializers.SerializerMethodField(required=False)\n\n def get_entity_count(self, collection):\n \"\"\"Return number of entities on the collection.\"\"\"\n return collection.entity_count if hasattr(collection, 'entity_count'\n ) else collection.entity_set.count()\n\n\n class Meta(BaseCollectionSerializer.Meta):\n \"\"\"CollectionSerializer Meta options.\"\"\"\n read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (\n 'entity_count',)\n fields = BaseCollectionSerializer.Meta.fields + ('entity_count',)\n",
"step-5": "\"\"\"Resolwe collection serializer.\"\"\"\nimport logging\n\nfrom rest_framework import serializers\n\nfrom resolwe.flow.models import Collection, Data, DescriptorSchema\nfrom resolwe.rest.fields import ProjectableJSONField\n\nfrom .base import ResolweBaseSerializer\nfrom .descriptor import DescriptorSchemaSerializer\nfrom .fields import DictRelatedField\n\nlogger = logging.getLogger(__name__)\n\n\nclass BaseCollectionSerializer(ResolweBaseSerializer):\n \"\"\"Base serializer for Collection objects.\"\"\"\n\n settings = ProjectableJSONField(required=False)\n descriptor = ProjectableJSONField(required=False)\n descriptor_schema = DictRelatedField(\n queryset=DescriptorSchema.objects.all(),\n serializer=DescriptorSchemaSerializer,\n allow_null=True,\n required=False,\n )\n data_count = serializers.SerializerMethodField(required=False)\n status = serializers.SerializerMethodField(required=False)\n\n def get_data_count(self, collection):\n \"\"\"Return number of data objects on the collection.\"\"\"\n # Use 'data_count' attribute when available. It is created in the\n # BaseCollectionViewSet class.\n return (\n collection.data_count\n if hasattr(collection, \"data_count\")\n else collection.data.count()\n )\n\n def get_status(self, collection):\n \"\"\"Return status of the collection based on the status of data objects.\n\n When collection contains no data objects None is returned.\n \"\"\"\n\n status_order = [\n Data.STATUS_ERROR,\n Data.STATUS_UPLOADING,\n Data.STATUS_PROCESSING,\n Data.STATUS_PREPARING,\n Data.STATUS_WAITING,\n Data.STATUS_RESOLVING,\n Data.STATUS_DONE,\n ]\n\n # Use 'data_statuses' attribute when available. It is created in the\n # BaseCollectionViewSet class. It contains all the distinct statuses of the\n # data objects in the collection.\n status_set = (\n set(collection.data_statuses)\n if hasattr(collection, \"data_statuses\")\n else collection.data.values_list(\"status\", flat=True).distinct()\n )\n\n if not status_set:\n return None\n\n for status in status_order:\n if status in status_set:\n return status\n\n logger.warning(\n \"Could not determine the status of a collection.\",\n extra={\"collection\": collection.__dict__},\n )\n return None\n\n class Meta:\n \"\"\"CollectionSerializer Meta options.\"\"\"\n\n model = Collection\n read_only_fields = (\n \"created\",\n \"descriptor_dirty\",\n \"duplicated\",\n \"id\",\n \"modified\",\n \"data_count\",\n \"status\",\n )\n update_protected_fields = (\"contributor\",)\n fields = (\n read_only_fields\n + update_protected_fields\n + (\n \"description\",\n \"descriptor\",\n \"descriptor_schema\",\n \"name\",\n \"settings\",\n \"slug\",\n \"tags\",\n )\n )\n\n\nclass CollectionSerializer(BaseCollectionSerializer):\n \"\"\"Serializer for Collection objects.\"\"\"\n\n entity_count = serializers.SerializerMethodField(required=False)\n\n def get_entity_count(self, collection):\n \"\"\"Return number of entities on the collection.\"\"\"\n # Use 'entity_count' attribute when available. It is created in the\n # BaseCollectionViewSet class.\n return (\n collection.entity_count\n if hasattr(collection, \"entity_count\")\n else collection.entity_set.count()\n )\n\n class Meta(BaseCollectionSerializer.Meta):\n \"\"\"CollectionSerializer Meta options.\"\"\"\n\n read_only_fields = BaseCollectionSerializer.Meta.read_only_fields + (\n \"entity_count\",\n )\n\n fields = BaseCollectionSerializer.Meta.fields + (\"entity_count\",)\n",
"step-ids": [
6,
8,
9,
11,
12
]
}
|
[
6,
8,
9,
11,
12
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
@pytest.mark.asyncio
async def test_authenticator(aioresponse: aioresponses) ->None:
with open('tests/fixtures/auth_pin_status.xml') as file:
aioresponse.get('http://1.2.3.4:8080/ws/apps/CloudPINPage', body=
file.read())
with open('tests/fixtures/auth_pin_status.xml') as file:
aioresponse.post('http://1.2.3.4:8080/ws/apps/CloudPINPage', body=
'http:///ws/apps/CloudPINPage/run')
with open('tests/fixtures/auth_empty.json') as file:
aioresponse.get(
'http://1.2.3.4:8080/ws/pairing?step=0&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&type=1'
, body=file.read())
with open('tests/fixtures/auth_generator_client_hello.json') as file:
aioresponse.post(
'http://1.2.3.4:8080/ws/pairing?step=1&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184'
, body=file.read())
with open('tests/fixtures/auth_client_ack_msg.json') as file:
aioresponse.post(
'http://1.2.3.4:8080/ws/pairing?step=2&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184'
, body=file.read())
aioresponse.delete('http://1.2.3.4:8080/ws/apps/CloudPINPage/run', body='')
authenticator = SamsungTVEncryptedWSAsyncAuthenticator('1.2.3.4',
web_session=aiohttp.ClientSession())
await authenticator.start_pairing()
token = await authenticator.try_pin('0997')
assert token == '545a596ab96b289c60896255e8690288'
session_id = await authenticator.get_session_id_and_close()
assert session_id == '1'
assert len(aioresponse.requests) == 6
print(aioresponse.requests)
request = aioresponse.requests['POST', URL(
'http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=1'
)]
assert request[0].kwargs['data'
] == '{"auth_Data":{"auth_type":"SPC","GeneratorServerHello":"010200000000000000008A000000063635343332317CAF9CBDC06B666D23EBCA615E0666FEB2B807091BF507404DDD18329CD64A91E513DC704298CCE49C4C5656C42141A696354A7145127BCD94CDD2B0D632D87E332437F86EBE5A50A1512F3F54C71B791A88ECBAF562FBABE2731F27D851A764CA114DBE2C2C965DF151CFC7401920FAA04636B356B97DBE1DA3A090004F81830000000000"}}'
request = aioresponse.requests['POST', URL(
'http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=2'
)]
assert request[0].kwargs['data'
] == '{"auth_Data":{"auth_type":"SPC","request_id":"0","ServerAckMsg":"01030000000000000000145F38EAFF0F6A6FF062CA652CD6CBAD9AF1EC62470000000000"}}'
<|reserved_special_token_1|>
<|reserved_special_token_0|>
import aiohttp
from aioresponses import aioresponses
import pytest
from yarl import URL
from samsungtvws.encrypted.authenticator import SamsungTVEncryptedWSAsyncAuthenticator
@pytest.mark.asyncio
async def test_authenticator(aioresponse: aioresponses) ->None:
with open('tests/fixtures/auth_pin_status.xml') as file:
aioresponse.get('http://1.2.3.4:8080/ws/apps/CloudPINPage', body=
file.read())
with open('tests/fixtures/auth_pin_status.xml') as file:
aioresponse.post('http://1.2.3.4:8080/ws/apps/CloudPINPage', body=
'http:///ws/apps/CloudPINPage/run')
with open('tests/fixtures/auth_empty.json') as file:
aioresponse.get(
'http://1.2.3.4:8080/ws/pairing?step=0&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&type=1'
, body=file.read())
with open('tests/fixtures/auth_generator_client_hello.json') as file:
aioresponse.post(
'http://1.2.3.4:8080/ws/pairing?step=1&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184'
, body=file.read())
with open('tests/fixtures/auth_client_ack_msg.json') as file:
aioresponse.post(
'http://1.2.3.4:8080/ws/pairing?step=2&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184'
, body=file.read())
aioresponse.delete('http://1.2.3.4:8080/ws/apps/CloudPINPage/run', body='')
authenticator = SamsungTVEncryptedWSAsyncAuthenticator('1.2.3.4',
web_session=aiohttp.ClientSession())
await authenticator.start_pairing()
token = await authenticator.try_pin('0997')
assert token == '545a596ab96b289c60896255e8690288'
session_id = await authenticator.get_session_id_and_close()
assert session_id == '1'
assert len(aioresponse.requests) == 6
print(aioresponse.requests)
request = aioresponse.requests['POST', URL(
'http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=1'
)]
assert request[0].kwargs['data'
] == '{"auth_Data":{"auth_type":"SPC","GeneratorServerHello":"010200000000000000008A000000063635343332317CAF9CBDC06B666D23EBCA615E0666FEB2B807091BF507404DDD18329CD64A91E513DC704298CCE49C4C5656C42141A696354A7145127BCD94CDD2B0D632D87E332437F86EBE5A50A1512F3F54C71B791A88ECBAF562FBABE2731F27D851A764CA114DBE2C2C965DF151CFC7401920FAA04636B356B97DBE1DA3A090004F81830000000000"}}'
request = aioresponse.requests['POST', URL(
'http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=2'
)]
assert request[0].kwargs['data'
] == '{"auth_Data":{"auth_type":"SPC","request_id":"0","ServerAckMsg":"01030000000000000000145F38EAFF0F6A6FF062CA652CD6CBAD9AF1EC62470000000000"}}'
<|reserved_special_token_1|>
"""SamsungTV Encrypted."""
import aiohttp
from aioresponses import aioresponses
import pytest
from yarl import URL
from samsungtvws.encrypted.authenticator import SamsungTVEncryptedWSAsyncAuthenticator
@pytest.mark.asyncio
async def test_authenticator(aioresponse: aioresponses) -> None:
with open("tests/fixtures/auth_pin_status.xml") as file:
aioresponse.get("http://1.2.3.4:8080/ws/apps/CloudPINPage", body=file.read())
with open("tests/fixtures/auth_pin_status.xml") as file:
aioresponse.post(
"http://1.2.3.4:8080/ws/apps/CloudPINPage",
body="http:///ws/apps/CloudPINPage/run",
)
with open("tests/fixtures/auth_empty.json") as file:
aioresponse.get(
"http://1.2.3.4:8080/ws/pairing?step=0&app_id=12345"
"&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&type=1",
body=file.read(),
)
with open("tests/fixtures/auth_generator_client_hello.json") as file:
aioresponse.post(
"http://1.2.3.4:8080/ws/pairing?step=1&app_id=12345"
"&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184",
body=file.read(),
)
with open("tests/fixtures/auth_client_ack_msg.json") as file:
aioresponse.post(
"http://1.2.3.4:8080/ws/pairing?step=2&app_id=12345"
"&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184",
body=file.read(),
)
aioresponse.delete("http://1.2.3.4:8080/ws/apps/CloudPINPage/run", body="")
authenticator = SamsungTVEncryptedWSAsyncAuthenticator(
"1.2.3.4", web_session=aiohttp.ClientSession()
)
await authenticator.start_pairing()
token = await authenticator.try_pin("0997")
assert token == "545a596ab96b289c60896255e8690288"
session_id = await authenticator.get_session_id_and_close()
assert session_id == "1"
assert len(aioresponse.requests) == 6
print(aioresponse.requests)
request = aioresponse.requests[
(
"POST",
URL(
"http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=1"
),
)
]
assert (
request[0].kwargs["data"]
== '{"auth_Data":{"auth_type":"SPC","GeneratorServerHello":'
'"010200000000000000008A000000063635343332317CAF9CBDC06B666D23EBC'
"A615E0666FEB2B807091BF507404DDD18329CD64A91E513DC704298CCE49C4C5"
"656C42141A696354A7145127BCD94CDD2B0D632D87E332437F86EBE5A50A1512"
"F3F54C71B791A88ECBAF562FBABE2731F27D851A764CA114DBE2C2C965DF151C"
'FC7401920FAA04636B356B97DBE1DA3A090004F81830000000000"}}'
)
request = aioresponse.requests[
(
"POST",
URL(
"http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=2"
),
)
]
assert (
request[0].kwargs["data"]
== '{"auth_Data":{"auth_type":"SPC","request_id":"0","ServerAckMsg":'
'"01030000000000000000145F38EAFF0F6A6FF062CA652CD6CBAD9AF1EC62470000000000"}}'
)
|
flexible
|
{
"blob_id": "e1448e62020f87e315d219be97d9af84607441df",
"index": 9104,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\n@pytest.mark.asyncio\nasync def test_authenticator(aioresponse: aioresponses) ->None:\n with open('tests/fixtures/auth_pin_status.xml') as file:\n aioresponse.get('http://1.2.3.4:8080/ws/apps/CloudPINPage', body=\n file.read())\n with open('tests/fixtures/auth_pin_status.xml') as file:\n aioresponse.post('http://1.2.3.4:8080/ws/apps/CloudPINPage', body=\n 'http:///ws/apps/CloudPINPage/run')\n with open('tests/fixtures/auth_empty.json') as file:\n aioresponse.get(\n 'http://1.2.3.4:8080/ws/pairing?step=0&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&type=1'\n , body=file.read())\n with open('tests/fixtures/auth_generator_client_hello.json') as file:\n aioresponse.post(\n 'http://1.2.3.4:8080/ws/pairing?step=1&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184'\n , body=file.read())\n with open('tests/fixtures/auth_client_ack_msg.json') as file:\n aioresponse.post(\n 'http://1.2.3.4:8080/ws/pairing?step=2&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184'\n , body=file.read())\n aioresponse.delete('http://1.2.3.4:8080/ws/apps/CloudPINPage/run', body='')\n authenticator = SamsungTVEncryptedWSAsyncAuthenticator('1.2.3.4',\n web_session=aiohttp.ClientSession())\n await authenticator.start_pairing()\n token = await authenticator.try_pin('0997')\n assert token == '545a596ab96b289c60896255e8690288'\n session_id = await authenticator.get_session_id_and_close()\n assert session_id == '1'\n assert len(aioresponse.requests) == 6\n print(aioresponse.requests)\n request = aioresponse.requests['POST', URL(\n 'http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=1'\n )]\n assert request[0].kwargs['data'\n ] == '{\"auth_Data\":{\"auth_type\":\"SPC\",\"GeneratorServerHello\":\"010200000000000000008A000000063635343332317CAF9CBDC06B666D23EBCA615E0666FEB2B807091BF507404DDD18329CD64A91E513DC704298CCE49C4C5656C42141A696354A7145127BCD94CDD2B0D632D87E332437F86EBE5A50A1512F3F54C71B791A88ECBAF562FBABE2731F27D851A764CA114DBE2C2C965DF151CFC7401920FAA04636B356B97DBE1DA3A090004F81830000000000\"}}'\n request = aioresponse.requests['POST', URL(\n 'http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=2'\n )]\n assert request[0].kwargs['data'\n ] == '{\"auth_Data\":{\"auth_type\":\"SPC\",\"request_id\":\"0\",\"ServerAckMsg\":\"01030000000000000000145F38EAFF0F6A6FF062CA652CD6CBAD9AF1EC62470000000000\"}}'\n",
"step-3": "<mask token>\nimport aiohttp\nfrom aioresponses import aioresponses\nimport pytest\nfrom yarl import URL\nfrom samsungtvws.encrypted.authenticator import SamsungTVEncryptedWSAsyncAuthenticator\n\n\n@pytest.mark.asyncio\nasync def test_authenticator(aioresponse: aioresponses) ->None:\n with open('tests/fixtures/auth_pin_status.xml') as file:\n aioresponse.get('http://1.2.3.4:8080/ws/apps/CloudPINPage', body=\n file.read())\n with open('tests/fixtures/auth_pin_status.xml') as file:\n aioresponse.post('http://1.2.3.4:8080/ws/apps/CloudPINPage', body=\n 'http:///ws/apps/CloudPINPage/run')\n with open('tests/fixtures/auth_empty.json') as file:\n aioresponse.get(\n 'http://1.2.3.4:8080/ws/pairing?step=0&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&type=1'\n , body=file.read())\n with open('tests/fixtures/auth_generator_client_hello.json') as file:\n aioresponse.post(\n 'http://1.2.3.4:8080/ws/pairing?step=1&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184'\n , body=file.read())\n with open('tests/fixtures/auth_client_ack_msg.json') as file:\n aioresponse.post(\n 'http://1.2.3.4:8080/ws/pairing?step=2&app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184'\n , body=file.read())\n aioresponse.delete('http://1.2.3.4:8080/ws/apps/CloudPINPage/run', body='')\n authenticator = SamsungTVEncryptedWSAsyncAuthenticator('1.2.3.4',\n web_session=aiohttp.ClientSession())\n await authenticator.start_pairing()\n token = await authenticator.try_pin('0997')\n assert token == '545a596ab96b289c60896255e8690288'\n session_id = await authenticator.get_session_id_and_close()\n assert session_id == '1'\n assert len(aioresponse.requests) == 6\n print(aioresponse.requests)\n request = aioresponse.requests['POST', URL(\n 'http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=1'\n )]\n assert request[0].kwargs['data'\n ] == '{\"auth_Data\":{\"auth_type\":\"SPC\",\"GeneratorServerHello\":\"010200000000000000008A000000063635343332317CAF9CBDC06B666D23EBCA615E0666FEB2B807091BF507404DDD18329CD64A91E513DC704298CCE49C4C5656C42141A696354A7145127BCD94CDD2B0D632D87E332437F86EBE5A50A1512F3F54C71B791A88ECBAF562FBABE2731F27D851A764CA114DBE2C2C965DF151CFC7401920FAA04636B356B97DBE1DA3A090004F81830000000000\"}}'\n request = aioresponse.requests['POST', URL(\n 'http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=2'\n )]\n assert request[0].kwargs['data'\n ] == '{\"auth_Data\":{\"auth_type\":\"SPC\",\"request_id\":\"0\",\"ServerAckMsg\":\"01030000000000000000145F38EAFF0F6A6FF062CA652CD6CBAD9AF1EC62470000000000\"}}'\n",
"step-4": "\"\"\"SamsungTV Encrypted.\"\"\"\nimport aiohttp\nfrom aioresponses import aioresponses\nimport pytest\nfrom yarl import URL\n\nfrom samsungtvws.encrypted.authenticator import SamsungTVEncryptedWSAsyncAuthenticator\n\n\n@pytest.mark.asyncio\nasync def test_authenticator(aioresponse: aioresponses) -> None:\n with open(\"tests/fixtures/auth_pin_status.xml\") as file:\n aioresponse.get(\"http://1.2.3.4:8080/ws/apps/CloudPINPage\", body=file.read())\n with open(\"tests/fixtures/auth_pin_status.xml\") as file:\n aioresponse.post(\n \"http://1.2.3.4:8080/ws/apps/CloudPINPage\",\n body=\"http:///ws/apps/CloudPINPage/run\",\n )\n with open(\"tests/fixtures/auth_empty.json\") as file:\n aioresponse.get(\n \"http://1.2.3.4:8080/ws/pairing?step=0&app_id=12345\"\n \"&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&type=1\",\n body=file.read(),\n )\n with open(\"tests/fixtures/auth_generator_client_hello.json\") as file:\n aioresponse.post(\n \"http://1.2.3.4:8080/ws/pairing?step=1&app_id=12345\"\n \"&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184\",\n body=file.read(),\n )\n with open(\"tests/fixtures/auth_client_ack_msg.json\") as file:\n aioresponse.post(\n \"http://1.2.3.4:8080/ws/pairing?step=2&app_id=12345\"\n \"&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184\",\n body=file.read(),\n )\n aioresponse.delete(\"http://1.2.3.4:8080/ws/apps/CloudPINPage/run\", body=\"\")\n\n authenticator = SamsungTVEncryptedWSAsyncAuthenticator(\n \"1.2.3.4\", web_session=aiohttp.ClientSession()\n )\n await authenticator.start_pairing()\n token = await authenticator.try_pin(\"0997\")\n assert token == \"545a596ab96b289c60896255e8690288\"\n\n session_id = await authenticator.get_session_id_and_close()\n assert session_id == \"1\"\n\n assert len(aioresponse.requests) == 6\n print(aioresponse.requests)\n\n request = aioresponse.requests[\n (\n \"POST\",\n URL(\n \"http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=1\"\n ),\n )\n ]\n assert (\n request[0].kwargs[\"data\"]\n == '{\"auth_Data\":{\"auth_type\":\"SPC\",\"GeneratorServerHello\":'\n '\"010200000000000000008A000000063635343332317CAF9CBDC06B666D23EBC'\n \"A615E0666FEB2B807091BF507404DDD18329CD64A91E513DC704298CCE49C4C5\"\n \"656C42141A696354A7145127BCD94CDD2B0D632D87E332437F86EBE5A50A1512\"\n \"F3F54C71B791A88ECBAF562FBABE2731F27D851A764CA114DBE2C2C965DF151C\"\n 'FC7401920FAA04636B356B97DBE1DA3A090004F81830000000000\"}}'\n )\n request = aioresponse.requests[\n (\n \"POST\",\n URL(\n \"http://1.2.3.4:8080/ws/pairing?app_id=12345&device_id=7e509404-9d7c-46b4-8f6a-e2a9668ad184&step=2\"\n ),\n )\n ]\n assert (\n request[0].kwargs[\"data\"]\n == '{\"auth_Data\":{\"auth_type\":\"SPC\",\"request_id\":\"0\",\"ServerAckMsg\":'\n '\"01030000000000000000145F38EAFF0F6A6FF062CA652CD6CBAD9AF1EC62470000000000\"}}'\n )\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def parse_response(permission, response):
return response
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_command(session, parsed_message):
return 'stop', 'restart'
def parse_response(permission, response):
return response
<|reserved_special_token_1|>
permissions = 'restart',
commands = 'restart',
def get_command(session, parsed_message):
return 'stop', 'restart'
def parse_response(permission, response):
return response
<|reserved_special_token_1|>
permissions = ('restart', )
commands = ('restart', )
def get_command(session, parsed_message):
return 'stop', 'restart'
def parse_response(permission, response):
return response
|
flexible
|
{
"blob_id": "acd5cf675522c90fc9fbc96bdeb52f66835626b4",
"index": 3489,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef parse_response(permission, response):\n return response\n",
"step-3": "<mask token>\n\n\ndef get_command(session, parsed_message):\n return 'stop', 'restart'\n\n\ndef parse_response(permission, response):\n return response\n",
"step-4": "permissions = 'restart',\ncommands = 'restart',\n\n\ndef get_command(session, parsed_message):\n return 'stop', 'restart'\n\n\ndef parse_response(permission, response):\n return response\n",
"step-5": "permissions = ('restart', )\ncommands = ('restart', )\n\n\ndef get_command(session, parsed_message):\n return 'stop', 'restart'\n\n\ndef parse_response(permission, response):\n return response\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
class USBHandler:
<|reserved_special_token_0|>
def __init__(self):
self.initialized = False
self.run_task = None
self.waiters = {}
self.queues = {}
self.logger = logging.getLogger('.'.join((__name__, self.__class__.
__name__)))
async def initialize(self, device_path: str) ->None:
assert os.path.exists(device_path)
self.logger.info('Initializing USBReader.')
self.logger.debug('Opening serial connection to device at %s',
device_path)
self.serial_reader, self.serial_writer = await open_serial_connection(
url=device_path, baudrate=115200)
self.initialized = True
self.logger.debug('Connected to serial device at %s.', device_path)
async def _run(self) ->None:
while True:
message = await self.serial_reader.readuntil(separator=b'\r\n')
stripped_message = message.decode(encoding='ascii').rstrip('\n\r')
self.logger.debug("Read '%s' from MDB board.", stripped_message)
message_type = stripped_message[0]
if message_type in self.waiters:
self.waiters[message_type].set_result(stripped_message)
del self.waiters[message_type]
await asyncio.sleep(0)
elif message_type in self.queues:
try:
self.queues[message_type].put_nowait(stripped_message)
except asyncio.QueueFull:
self.logger.warning(
'Queue for message type %s is full. Scheduling the put in another task.'
, message_type)
asyncio.create_task(self.queues[message_type].put(
stripped_message))
else:
self.logger.error('Unhandled message: %s', stripped_message)
async def run(self) ->None:
assert self.initialized
self.logger.info('Starting runner.')
self.run_task = asyncio.create_task(self._run())
try:
await self.run_task
except asyncio.CancelledError:
self.logger.info('Runner cancelled.')
async def send(self, message: AsciiBytes, _drain=True) ->None:
assert self.initialized
self.logger.info('Sending message to MDB board: %s', message)
self.serial_writer.write(message)
if _drain:
await self.serial_writer.drain()
self.logger.info('Sent message to MDB board: %s', message)
<|reserved_special_token_0|>
async def sendread(self, message: AsciiBytes, prefix: str) ->str:
await self.send(message, _drain=False)
fut = self._read_internal(prefix)
self.logger.info('Waiting for a single message of type: %s', prefix)
try:
await self.serial_writer.drain()
self.logger.info('Sent message to MDB board: %s', message)
await fut
except asyncio.CancelledError as e:
self.logger.warning(
'Got cancelled while sending message %r or waiting on prefix %s'
, message, prefix, exc_info=e)
del self.waiters[prefix]
raise
self.logger.info('Got message: %s', fut.result())
return fut.result()
async def read(self, prefix: str) ->str:
fut = self._read_internal(prefix)
self.logger.info('Waiting for a single message of type: %s', prefix)
try:
await fut
except asyncio.CancelledError as e:
self.logger.warning('Got cancelled while waiting for message on %s'
, prefix, exc_info=e)
del self.waiters[prefix]
raise
self.logger.info('Got message: %s', fut.result())
return fut.result()
def listen(self, prefix: str) ->asyncio.Queue:
assert len(prefix) == 1
if prefix in self.waiters or prefix in self.queues:
raise RuntimeError(
f'Tried to get a queue for message type {prefix} when there was already someonewaiting on it.'
)
self.queues[prefix] = asyncio.Queue()
self.logger.info('Polling for messages of type: %s', prefix)
return self.queues[prefix]
<|reserved_special_token_0|>
async def shutdown(self):
if not self.initialized:
return
self.logger.info('Shutting down.')
if self.run_task:
self.run_task.cancel()
self.run_task = None
for fut in self.waiters.values():
fut.cancel()
self.serial_writer.close()
await self.serial_writer.wait_closed()
self.logger.info('Shutdown complete.')
self.initialized = False
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def to_ascii(s: str) ->AsciiBytes:
if s[-1] != '\n':
s += '\n'
return cast(AsciiBytes, s.encode(encoding='ascii'))
class USBHandler:
"""Reads from and writes to the underlying MDB USB board.
Users can either obtain an asyncio.Queue that the handler will push
messages to using listen(), or it can ask for a one-time read using read().
For sending messages, if no reply is expected or there is a poller waiting
for any response, send() can be used, otherwise sendread() will send the
message and wait for a one-time reply. Having a listener and waiting for a
single message at the same time is an error. See the Sniffer class for an
example of both usages."""
def __init__(self):
self.initialized = False
self.run_task = None
self.waiters = {}
self.queues = {}
self.logger = logging.getLogger('.'.join((__name__, self.__class__.
__name__)))
async def initialize(self, device_path: str) ->None:
assert os.path.exists(device_path)
self.logger.info('Initializing USBReader.')
self.logger.debug('Opening serial connection to device at %s',
device_path)
self.serial_reader, self.serial_writer = await open_serial_connection(
url=device_path, baudrate=115200)
self.initialized = True
self.logger.debug('Connected to serial device at %s.', device_path)
async def _run(self) ->None:
while True:
message = await self.serial_reader.readuntil(separator=b'\r\n')
stripped_message = message.decode(encoding='ascii').rstrip('\n\r')
self.logger.debug("Read '%s' from MDB board.", stripped_message)
message_type = stripped_message[0]
if message_type in self.waiters:
self.waiters[message_type].set_result(stripped_message)
del self.waiters[message_type]
await asyncio.sleep(0)
elif message_type in self.queues:
try:
self.queues[message_type].put_nowait(stripped_message)
except asyncio.QueueFull:
self.logger.warning(
'Queue for message type %s is full. Scheduling the put in another task.'
, message_type)
asyncio.create_task(self.queues[message_type].put(
stripped_message))
else:
self.logger.error('Unhandled message: %s', stripped_message)
async def run(self) ->None:
assert self.initialized
self.logger.info('Starting runner.')
self.run_task = asyncio.create_task(self._run())
try:
await self.run_task
except asyncio.CancelledError:
self.logger.info('Runner cancelled.')
async def send(self, message: AsciiBytes, _drain=True) ->None:
assert self.initialized
self.logger.info('Sending message to MDB board: %s', message)
self.serial_writer.write(message)
if _drain:
await self.serial_writer.drain()
self.logger.info('Sent message to MDB board: %s', message)
def _read_internal(self, prefix: str) ->asyncio.Future:
assert len(prefix) == 1
if prefix in self.queues or prefix in self.waiters:
raise RuntimeError(
f'Tried to wait for message type {prefix} when there was already a queue listening to all messages'
)
fut = asyncio.get_running_loop().create_future()
self.waiters[prefix] = fut
return fut
async def sendread(self, message: AsciiBytes, prefix: str) ->str:
await self.send(message, _drain=False)
fut = self._read_internal(prefix)
self.logger.info('Waiting for a single message of type: %s', prefix)
try:
await self.serial_writer.drain()
self.logger.info('Sent message to MDB board: %s', message)
await fut
except asyncio.CancelledError as e:
self.logger.warning(
'Got cancelled while sending message %r or waiting on prefix %s'
, message, prefix, exc_info=e)
del self.waiters[prefix]
raise
self.logger.info('Got message: %s', fut.result())
return fut.result()
async def read(self, prefix: str) ->str:
fut = self._read_internal(prefix)
self.logger.info('Waiting for a single message of type: %s', prefix)
try:
await fut
except asyncio.CancelledError as e:
self.logger.warning('Got cancelled while waiting for message on %s'
, prefix, exc_info=e)
del self.waiters[prefix]
raise
self.logger.info('Got message: %s', fut.result())
return fut.result()
def listen(self, prefix: str) ->asyncio.Queue:
assert len(prefix) == 1
if prefix in self.waiters or prefix in self.queues:
raise RuntimeError(
f'Tried to get a queue for message type {prefix} when there was already someonewaiting on it.'
)
self.queues[prefix] = asyncio.Queue()
self.logger.info('Polling for messages of type: %s', prefix)
return self.queues[prefix]
def unlisten(self, prefix: str) ->None:
"""Stops pushing messages with this prefix character to a Queue."""
assert len(prefix) == 1
del self.queues[prefix]
self.logger.info('No longer polling for message type: %s', prefix)
async def shutdown(self):
if not self.initialized:
return
self.logger.info('Shutting down.')
if self.run_task:
self.run_task.cancel()
self.run_task = None
for fut in self.waiters.values():
fut.cancel()
self.serial_writer.close()
await self.serial_writer.wait_closed()
self.logger.info('Shutdown complete.')
self.initialized = False
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
AsciiBytes = NewType('AsciiBytes', bytes)
def to_ascii(s: str) ->AsciiBytes:
if s[-1] != '\n':
s += '\n'
return cast(AsciiBytes, s.encode(encoding='ascii'))
class USBHandler:
"""Reads from and writes to the underlying MDB USB board.
Users can either obtain an asyncio.Queue that the handler will push
messages to using listen(), or it can ask for a one-time read using read().
For sending messages, if no reply is expected or there is a poller waiting
for any response, send() can be used, otherwise sendread() will send the
message and wait for a one-time reply. Having a listener and waiting for a
single message at the same time is an error. See the Sniffer class for an
example of both usages."""
def __init__(self):
self.initialized = False
self.run_task = None
self.waiters = {}
self.queues = {}
self.logger = logging.getLogger('.'.join((__name__, self.__class__.
__name__)))
async def initialize(self, device_path: str) ->None:
assert os.path.exists(device_path)
self.logger.info('Initializing USBReader.')
self.logger.debug('Opening serial connection to device at %s',
device_path)
self.serial_reader, self.serial_writer = await open_serial_connection(
url=device_path, baudrate=115200)
self.initialized = True
self.logger.debug('Connected to serial device at %s.', device_path)
async def _run(self) ->None:
while True:
message = await self.serial_reader.readuntil(separator=b'\r\n')
stripped_message = message.decode(encoding='ascii').rstrip('\n\r')
self.logger.debug("Read '%s' from MDB board.", stripped_message)
message_type = stripped_message[0]
if message_type in self.waiters:
self.waiters[message_type].set_result(stripped_message)
del self.waiters[message_type]
await asyncio.sleep(0)
elif message_type in self.queues:
try:
self.queues[message_type].put_nowait(stripped_message)
except asyncio.QueueFull:
self.logger.warning(
'Queue for message type %s is full. Scheduling the put in another task.'
, message_type)
asyncio.create_task(self.queues[message_type].put(
stripped_message))
else:
self.logger.error('Unhandled message: %s', stripped_message)
async def run(self) ->None:
assert self.initialized
self.logger.info('Starting runner.')
self.run_task = asyncio.create_task(self._run())
try:
await self.run_task
except asyncio.CancelledError:
self.logger.info('Runner cancelled.')
async def send(self, message: AsciiBytes, _drain=True) ->None:
assert self.initialized
self.logger.info('Sending message to MDB board: %s', message)
self.serial_writer.write(message)
if _drain:
await self.serial_writer.drain()
self.logger.info('Sent message to MDB board: %s', message)
def _read_internal(self, prefix: str) ->asyncio.Future:
assert len(prefix) == 1
if prefix in self.queues or prefix in self.waiters:
raise RuntimeError(
f'Tried to wait for message type {prefix} when there was already a queue listening to all messages'
)
fut = asyncio.get_running_loop().create_future()
self.waiters[prefix] = fut
return fut
async def sendread(self, message: AsciiBytes, prefix: str) ->str:
await self.send(message, _drain=False)
fut = self._read_internal(prefix)
self.logger.info('Waiting for a single message of type: %s', prefix)
try:
await self.serial_writer.drain()
self.logger.info('Sent message to MDB board: %s', message)
await fut
except asyncio.CancelledError as e:
self.logger.warning(
'Got cancelled while sending message %r or waiting on prefix %s'
, message, prefix, exc_info=e)
del self.waiters[prefix]
raise
self.logger.info('Got message: %s', fut.result())
return fut.result()
async def read(self, prefix: str) ->str:
fut = self._read_internal(prefix)
self.logger.info('Waiting for a single message of type: %s', prefix)
try:
await fut
except asyncio.CancelledError as e:
self.logger.warning('Got cancelled while waiting for message on %s'
, prefix, exc_info=e)
del self.waiters[prefix]
raise
self.logger.info('Got message: %s', fut.result())
return fut.result()
def listen(self, prefix: str) ->asyncio.Queue:
assert len(prefix) == 1
if prefix in self.waiters or prefix in self.queues:
raise RuntimeError(
f'Tried to get a queue for message type {prefix} when there was already someonewaiting on it.'
)
self.queues[prefix] = asyncio.Queue()
self.logger.info('Polling for messages of type: %s', prefix)
return self.queues[prefix]
def unlisten(self, prefix: str) ->None:
"""Stops pushing messages with this prefix character to a Queue."""
assert len(prefix) == 1
del self.queues[prefix]
self.logger.info('No longer polling for message type: %s', prefix)
async def shutdown(self):
if not self.initialized:
return
self.logger.info('Shutting down.')
if self.run_task:
self.run_task.cancel()
self.run_task = None
for fut in self.waiters.values():
fut.cancel()
self.serial_writer.close()
await self.serial_writer.wait_closed()
self.logger.info('Shutdown complete.')
self.initialized = False
__all__ = USBHandler, to_ascii
<|reserved_special_token_1|>
import asyncio
import logging
import os.path
from serial_asyncio import open_serial_connection
from typing import NewType, cast
AsciiBytes = NewType('AsciiBytes', bytes)
def to_ascii(s: str) ->AsciiBytes:
if s[-1] != '\n':
s += '\n'
return cast(AsciiBytes, s.encode(encoding='ascii'))
class USBHandler:
"""Reads from and writes to the underlying MDB USB board.
Users can either obtain an asyncio.Queue that the handler will push
messages to using listen(), or it can ask for a one-time read using read().
For sending messages, if no reply is expected or there is a poller waiting
for any response, send() can be used, otherwise sendread() will send the
message and wait for a one-time reply. Having a listener and waiting for a
single message at the same time is an error. See the Sniffer class for an
example of both usages."""
def __init__(self):
self.initialized = False
self.run_task = None
self.waiters = {}
self.queues = {}
self.logger = logging.getLogger('.'.join((__name__, self.__class__.
__name__)))
async def initialize(self, device_path: str) ->None:
assert os.path.exists(device_path)
self.logger.info('Initializing USBReader.')
self.logger.debug('Opening serial connection to device at %s',
device_path)
self.serial_reader, self.serial_writer = await open_serial_connection(
url=device_path, baudrate=115200)
self.initialized = True
self.logger.debug('Connected to serial device at %s.', device_path)
async def _run(self) ->None:
while True:
message = await self.serial_reader.readuntil(separator=b'\r\n')
stripped_message = message.decode(encoding='ascii').rstrip('\n\r')
self.logger.debug("Read '%s' from MDB board.", stripped_message)
message_type = stripped_message[0]
if message_type in self.waiters:
self.waiters[message_type].set_result(stripped_message)
del self.waiters[message_type]
await asyncio.sleep(0)
elif message_type in self.queues:
try:
self.queues[message_type].put_nowait(stripped_message)
except asyncio.QueueFull:
self.logger.warning(
'Queue for message type %s is full. Scheduling the put in another task.'
, message_type)
asyncio.create_task(self.queues[message_type].put(
stripped_message))
else:
self.logger.error('Unhandled message: %s', stripped_message)
async def run(self) ->None:
assert self.initialized
self.logger.info('Starting runner.')
self.run_task = asyncio.create_task(self._run())
try:
await self.run_task
except asyncio.CancelledError:
self.logger.info('Runner cancelled.')
async def send(self, message: AsciiBytes, _drain=True) ->None:
assert self.initialized
self.logger.info('Sending message to MDB board: %s', message)
self.serial_writer.write(message)
if _drain:
await self.serial_writer.drain()
self.logger.info('Sent message to MDB board: %s', message)
def _read_internal(self, prefix: str) ->asyncio.Future:
assert len(prefix) == 1
if prefix in self.queues or prefix in self.waiters:
raise RuntimeError(
f'Tried to wait for message type {prefix} when there was already a queue listening to all messages'
)
fut = asyncio.get_running_loop().create_future()
self.waiters[prefix] = fut
return fut
async def sendread(self, message: AsciiBytes, prefix: str) ->str:
await self.send(message, _drain=False)
fut = self._read_internal(prefix)
self.logger.info('Waiting for a single message of type: %s', prefix)
try:
await self.serial_writer.drain()
self.logger.info('Sent message to MDB board: %s', message)
await fut
except asyncio.CancelledError as e:
self.logger.warning(
'Got cancelled while sending message %r or waiting on prefix %s'
, message, prefix, exc_info=e)
del self.waiters[prefix]
raise
self.logger.info('Got message: %s', fut.result())
return fut.result()
async def read(self, prefix: str) ->str:
fut = self._read_internal(prefix)
self.logger.info('Waiting for a single message of type: %s', prefix)
try:
await fut
except asyncio.CancelledError as e:
self.logger.warning('Got cancelled while waiting for message on %s'
, prefix, exc_info=e)
del self.waiters[prefix]
raise
self.logger.info('Got message: %s', fut.result())
return fut.result()
def listen(self, prefix: str) ->asyncio.Queue:
assert len(prefix) == 1
if prefix in self.waiters or prefix in self.queues:
raise RuntimeError(
f'Tried to get a queue for message type {prefix} when there was already someonewaiting on it.'
)
self.queues[prefix] = asyncio.Queue()
self.logger.info('Polling for messages of type: %s', prefix)
return self.queues[prefix]
def unlisten(self, prefix: str) ->None:
"""Stops pushing messages with this prefix character to a Queue."""
assert len(prefix) == 1
del self.queues[prefix]
self.logger.info('No longer polling for message type: %s', prefix)
async def shutdown(self):
if not self.initialized:
return
self.logger.info('Shutting down.')
if self.run_task:
self.run_task.cancel()
self.run_task = None
for fut in self.waiters.values():
fut.cancel()
self.serial_writer.close()
await self.serial_writer.wait_closed()
self.logger.info('Shutdown complete.')
self.initialized = False
__all__ = USBHandler, to_ascii
<|reserved_special_token_1|>
import asyncio
import logging
import os.path
from serial_asyncio import open_serial_connection
from typing import NewType, cast
# Type annotations and converters
AsciiBytes = NewType('AsciiBytes', bytes)
def to_ascii(s: str) -> AsciiBytes:
if s[-1] != '\n':
s += '\n'
return cast(AsciiBytes, s.encode(encoding='ascii'))
class USBHandler:
"""Reads from and writes to the underlying MDB USB board.
Users can either obtain an asyncio.Queue that the handler will push
messages to using listen(), or it can ask for a one-time read using read().
For sending messages, if no reply is expected or there is a poller waiting
for any response, send() can be used, otherwise sendread() will send the
message and wait for a one-time reply. Having a listener and waiting for a
single message at the same time is an error. See the Sniffer class for an
example of both usages."""
def __init__(self):
self.initialized = False
self.run_task = None
self.waiters = {}
self.queues = {}
self.logger = logging.getLogger('.'.join((__name__,
self.__class__.__name__)))
async def initialize(self, device_path: str) -> None:
assert os.path.exists(device_path)
self.logger.info("Initializing USBReader.")
self.logger.debug("Opening serial connection to device at %s",
device_path)
self.serial_reader, self.serial_writer = \
await open_serial_connection(url=device_path, baudrate=115200)
self.initialized = True
self.logger.debug("Connected to serial device at %s.", device_path)
async def _run(self) -> None:
while True:
message = await self.serial_reader.readuntil(separator=b'\r\n')
stripped_message = message.decode(encoding='ascii').rstrip('\n\r')
self.logger.debug("Read '%s' from MDB board.", stripped_message)
message_type = stripped_message[0]
if message_type in self.waiters:
self.waiters[message_type].set_result(stripped_message)
del self.waiters[message_type]
# Lets the waiter run.
await asyncio.sleep(0)
elif message_type in self.queues:
try:
self.queues[message_type].put_nowait(stripped_message)
except asyncio.QueueFull:
self.logger.warning('Queue for message type %s is full. '
'Scheduling the put in another task.',
message_type)
asyncio.create_task(
self.queues[message_type].put(stripped_message))
else:
self.logger.error("Unhandled message: %s", stripped_message)
async def run(self) -> None:
assert self.initialized
self.logger.info('Starting runner.')
self.run_task = asyncio.create_task(self._run())
try:
await self.run_task
except asyncio.CancelledError:
self.logger.info('Runner cancelled.')
async def send(self, message: AsciiBytes, _drain=True) -> None:
assert self.initialized
self.logger.info("Sending message to MDB board: %s", message)
self.serial_writer.write(message)
if _drain:
await self.serial_writer.drain()
self.logger.info("Sent message to MDB board: %s", message)
def _read_internal(self, prefix: str) -> asyncio.Future:
assert len(prefix) == 1
if prefix in self.queues or prefix in self.waiters:
raise RuntimeError(f"Tried to wait for message type {prefix}"
" when there was already a queue listening to "
"all messages")
fut = asyncio.get_running_loop().create_future()
self.waiters[prefix] = fut
return fut
async def sendread(self, message: AsciiBytes, prefix: str) -> str:
await self.send(message, _drain=False)
fut = self._read_internal(prefix)
self.logger.info("Waiting for a single message of type: %s", prefix)
try:
await self.serial_writer.drain()
self.logger.info("Sent message to MDB board: %s", message)
await fut
except asyncio.CancelledError as e:
self.logger.warning("Got cancelled while sending message %r or "
"waiting on prefix %s", message, prefix,
exc_info=e)
del self.waiters[prefix]
raise
self.logger.info("Got message: %s", fut.result())
return fut.result()
async def read(self, prefix: str) -> str:
fut = self._read_internal(prefix)
self.logger.info("Waiting for a single message of type: %s", prefix)
try:
await fut
except asyncio.CancelledError as e:
self.logger.warning("Got cancelled while waiting for message on "
"%s", prefix, exc_info=e)
del self.waiters[prefix]
raise
self.logger.info("Got message: %s", fut.result())
return fut.result()
def listen(self, prefix: str) -> asyncio.Queue:
assert len(prefix) == 1
if prefix in self.waiters or prefix in self.queues:
raise RuntimeError("Tried to get a queue for message type "
f"{prefix} when there was already someone"
"waiting on it.")
self.queues[prefix] = asyncio.Queue()
self.logger.info("Polling for messages of type: %s", prefix)
return self.queues[prefix]
def unlisten(self, prefix: str) -> None:
"""Stops pushing messages with this prefix character to a Queue."""
assert len(prefix) == 1
del self.queues[prefix]
self.logger.info("No longer polling for message type: %s", prefix)
async def shutdown(self):
if not self.initialized:
return
self.logger.info("Shutting down.")
if self.run_task:
self.run_task.cancel()
self.run_task = None
for fut in self.waiters.values():
fut.cancel()
self.serial_writer.close()
await self.serial_writer.wait_closed()
self.logger.info("Shutdown complete.")
self.initialized = False
__all__ = (USBHandler, to_ascii)
|
flexible
|
{
"blob_id": "50b630b762251f8646044b234ac4b82b8e4b645b",
"index": 8460,
"step-1": "<mask token>\n\n\nclass USBHandler:\n <mask token>\n\n def __init__(self):\n self.initialized = False\n self.run_task = None\n self.waiters = {}\n self.queues = {}\n self.logger = logging.getLogger('.'.join((__name__, self.__class__.\n __name__)))\n\n async def initialize(self, device_path: str) ->None:\n assert os.path.exists(device_path)\n self.logger.info('Initializing USBReader.')\n self.logger.debug('Opening serial connection to device at %s',\n device_path)\n self.serial_reader, self.serial_writer = await open_serial_connection(\n url=device_path, baudrate=115200)\n self.initialized = True\n self.logger.debug('Connected to serial device at %s.', device_path)\n\n async def _run(self) ->None:\n while True:\n message = await self.serial_reader.readuntil(separator=b'\\r\\n')\n stripped_message = message.decode(encoding='ascii').rstrip('\\n\\r')\n self.logger.debug(\"Read '%s' from MDB board.\", stripped_message)\n message_type = stripped_message[0]\n if message_type in self.waiters:\n self.waiters[message_type].set_result(stripped_message)\n del self.waiters[message_type]\n await asyncio.sleep(0)\n elif message_type in self.queues:\n try:\n self.queues[message_type].put_nowait(stripped_message)\n except asyncio.QueueFull:\n self.logger.warning(\n 'Queue for message type %s is full. Scheduling the put in another task.'\n , message_type)\n asyncio.create_task(self.queues[message_type].put(\n stripped_message))\n else:\n self.logger.error('Unhandled message: %s', stripped_message)\n\n async def run(self) ->None:\n assert self.initialized\n self.logger.info('Starting runner.')\n self.run_task = asyncio.create_task(self._run())\n try:\n await self.run_task\n except asyncio.CancelledError:\n self.logger.info('Runner cancelled.')\n\n async def send(self, message: AsciiBytes, _drain=True) ->None:\n assert self.initialized\n self.logger.info('Sending message to MDB board: %s', message)\n self.serial_writer.write(message)\n if _drain:\n await self.serial_writer.drain()\n self.logger.info('Sent message to MDB board: %s', message)\n <mask token>\n\n async def sendread(self, message: AsciiBytes, prefix: str) ->str:\n await self.send(message, _drain=False)\n fut = self._read_internal(prefix)\n self.logger.info('Waiting for a single message of type: %s', prefix)\n try:\n await self.serial_writer.drain()\n self.logger.info('Sent message to MDB board: %s', message)\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning(\n 'Got cancelled while sending message %r or waiting on prefix %s'\n , message, prefix, exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info('Got message: %s', fut.result())\n return fut.result()\n\n async def read(self, prefix: str) ->str:\n fut = self._read_internal(prefix)\n self.logger.info('Waiting for a single message of type: %s', prefix)\n try:\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning('Got cancelled while waiting for message on %s'\n , prefix, exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info('Got message: %s', fut.result())\n return fut.result()\n\n def listen(self, prefix: str) ->asyncio.Queue:\n assert len(prefix) == 1\n if prefix in self.waiters or prefix in self.queues:\n raise RuntimeError(\n f'Tried to get a queue for message type {prefix} when there was already someonewaiting on it.'\n )\n self.queues[prefix] = asyncio.Queue()\n self.logger.info('Polling for messages of type: %s', prefix)\n return self.queues[prefix]\n <mask token>\n\n async def shutdown(self):\n if not self.initialized:\n return\n self.logger.info('Shutting down.')\n if self.run_task:\n self.run_task.cancel()\n self.run_task = None\n for fut in self.waiters.values():\n fut.cancel()\n self.serial_writer.close()\n await self.serial_writer.wait_closed()\n self.logger.info('Shutdown complete.')\n self.initialized = False\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef to_ascii(s: str) ->AsciiBytes:\n if s[-1] != '\\n':\n s += '\\n'\n return cast(AsciiBytes, s.encode(encoding='ascii'))\n\n\nclass USBHandler:\n \"\"\"Reads from and writes to the underlying MDB USB board.\n\n Users can either obtain an asyncio.Queue that the handler will push\n messages to using listen(), or it can ask for a one-time read using read().\n For sending messages, if no reply is expected or there is a poller waiting\n for any response, send() can be used, otherwise sendread() will send the\n message and wait for a one-time reply. Having a listener and waiting for a\n single message at the same time is an error. See the Sniffer class for an\n example of both usages.\"\"\"\n\n def __init__(self):\n self.initialized = False\n self.run_task = None\n self.waiters = {}\n self.queues = {}\n self.logger = logging.getLogger('.'.join((__name__, self.__class__.\n __name__)))\n\n async def initialize(self, device_path: str) ->None:\n assert os.path.exists(device_path)\n self.logger.info('Initializing USBReader.')\n self.logger.debug('Opening serial connection to device at %s',\n device_path)\n self.serial_reader, self.serial_writer = await open_serial_connection(\n url=device_path, baudrate=115200)\n self.initialized = True\n self.logger.debug('Connected to serial device at %s.', device_path)\n\n async def _run(self) ->None:\n while True:\n message = await self.serial_reader.readuntil(separator=b'\\r\\n')\n stripped_message = message.decode(encoding='ascii').rstrip('\\n\\r')\n self.logger.debug(\"Read '%s' from MDB board.\", stripped_message)\n message_type = stripped_message[0]\n if message_type in self.waiters:\n self.waiters[message_type].set_result(stripped_message)\n del self.waiters[message_type]\n await asyncio.sleep(0)\n elif message_type in self.queues:\n try:\n self.queues[message_type].put_nowait(stripped_message)\n except asyncio.QueueFull:\n self.logger.warning(\n 'Queue for message type %s is full. Scheduling the put in another task.'\n , message_type)\n asyncio.create_task(self.queues[message_type].put(\n stripped_message))\n else:\n self.logger.error('Unhandled message: %s', stripped_message)\n\n async def run(self) ->None:\n assert self.initialized\n self.logger.info('Starting runner.')\n self.run_task = asyncio.create_task(self._run())\n try:\n await self.run_task\n except asyncio.CancelledError:\n self.logger.info('Runner cancelled.')\n\n async def send(self, message: AsciiBytes, _drain=True) ->None:\n assert self.initialized\n self.logger.info('Sending message to MDB board: %s', message)\n self.serial_writer.write(message)\n if _drain:\n await self.serial_writer.drain()\n self.logger.info('Sent message to MDB board: %s', message)\n\n def _read_internal(self, prefix: str) ->asyncio.Future:\n assert len(prefix) == 1\n if prefix in self.queues or prefix in self.waiters:\n raise RuntimeError(\n f'Tried to wait for message type {prefix} when there was already a queue listening to all messages'\n )\n fut = asyncio.get_running_loop().create_future()\n self.waiters[prefix] = fut\n return fut\n\n async def sendread(self, message: AsciiBytes, prefix: str) ->str:\n await self.send(message, _drain=False)\n fut = self._read_internal(prefix)\n self.logger.info('Waiting for a single message of type: %s', prefix)\n try:\n await self.serial_writer.drain()\n self.logger.info('Sent message to MDB board: %s', message)\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning(\n 'Got cancelled while sending message %r or waiting on prefix %s'\n , message, prefix, exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info('Got message: %s', fut.result())\n return fut.result()\n\n async def read(self, prefix: str) ->str:\n fut = self._read_internal(prefix)\n self.logger.info('Waiting for a single message of type: %s', prefix)\n try:\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning('Got cancelled while waiting for message on %s'\n , prefix, exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info('Got message: %s', fut.result())\n return fut.result()\n\n def listen(self, prefix: str) ->asyncio.Queue:\n assert len(prefix) == 1\n if prefix in self.waiters or prefix in self.queues:\n raise RuntimeError(\n f'Tried to get a queue for message type {prefix} when there was already someonewaiting on it.'\n )\n self.queues[prefix] = asyncio.Queue()\n self.logger.info('Polling for messages of type: %s', prefix)\n return self.queues[prefix]\n\n def unlisten(self, prefix: str) ->None:\n \"\"\"Stops pushing messages with this prefix character to a Queue.\"\"\"\n assert len(prefix) == 1\n del self.queues[prefix]\n self.logger.info('No longer polling for message type: %s', prefix)\n\n async def shutdown(self):\n if not self.initialized:\n return\n self.logger.info('Shutting down.')\n if self.run_task:\n self.run_task.cancel()\n self.run_task = None\n for fut in self.waiters.values():\n fut.cancel()\n self.serial_writer.close()\n await self.serial_writer.wait_closed()\n self.logger.info('Shutdown complete.')\n self.initialized = False\n\n\n<mask token>\n",
"step-3": "<mask token>\nAsciiBytes = NewType('AsciiBytes', bytes)\n\n\ndef to_ascii(s: str) ->AsciiBytes:\n if s[-1] != '\\n':\n s += '\\n'\n return cast(AsciiBytes, s.encode(encoding='ascii'))\n\n\nclass USBHandler:\n \"\"\"Reads from and writes to the underlying MDB USB board.\n\n Users can either obtain an asyncio.Queue that the handler will push\n messages to using listen(), or it can ask for a one-time read using read().\n For sending messages, if no reply is expected or there is a poller waiting\n for any response, send() can be used, otherwise sendread() will send the\n message and wait for a one-time reply. Having a listener and waiting for a\n single message at the same time is an error. See the Sniffer class for an\n example of both usages.\"\"\"\n\n def __init__(self):\n self.initialized = False\n self.run_task = None\n self.waiters = {}\n self.queues = {}\n self.logger = logging.getLogger('.'.join((__name__, self.__class__.\n __name__)))\n\n async def initialize(self, device_path: str) ->None:\n assert os.path.exists(device_path)\n self.logger.info('Initializing USBReader.')\n self.logger.debug('Opening serial connection to device at %s',\n device_path)\n self.serial_reader, self.serial_writer = await open_serial_connection(\n url=device_path, baudrate=115200)\n self.initialized = True\n self.logger.debug('Connected to serial device at %s.', device_path)\n\n async def _run(self) ->None:\n while True:\n message = await self.serial_reader.readuntil(separator=b'\\r\\n')\n stripped_message = message.decode(encoding='ascii').rstrip('\\n\\r')\n self.logger.debug(\"Read '%s' from MDB board.\", stripped_message)\n message_type = stripped_message[0]\n if message_type in self.waiters:\n self.waiters[message_type].set_result(stripped_message)\n del self.waiters[message_type]\n await asyncio.sleep(0)\n elif message_type in self.queues:\n try:\n self.queues[message_type].put_nowait(stripped_message)\n except asyncio.QueueFull:\n self.logger.warning(\n 'Queue for message type %s is full. Scheduling the put in another task.'\n , message_type)\n asyncio.create_task(self.queues[message_type].put(\n stripped_message))\n else:\n self.logger.error('Unhandled message: %s', stripped_message)\n\n async def run(self) ->None:\n assert self.initialized\n self.logger.info('Starting runner.')\n self.run_task = asyncio.create_task(self._run())\n try:\n await self.run_task\n except asyncio.CancelledError:\n self.logger.info('Runner cancelled.')\n\n async def send(self, message: AsciiBytes, _drain=True) ->None:\n assert self.initialized\n self.logger.info('Sending message to MDB board: %s', message)\n self.serial_writer.write(message)\n if _drain:\n await self.serial_writer.drain()\n self.logger.info('Sent message to MDB board: %s', message)\n\n def _read_internal(self, prefix: str) ->asyncio.Future:\n assert len(prefix) == 1\n if prefix in self.queues or prefix in self.waiters:\n raise RuntimeError(\n f'Tried to wait for message type {prefix} when there was already a queue listening to all messages'\n )\n fut = asyncio.get_running_loop().create_future()\n self.waiters[prefix] = fut\n return fut\n\n async def sendread(self, message: AsciiBytes, prefix: str) ->str:\n await self.send(message, _drain=False)\n fut = self._read_internal(prefix)\n self.logger.info('Waiting for a single message of type: %s', prefix)\n try:\n await self.serial_writer.drain()\n self.logger.info('Sent message to MDB board: %s', message)\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning(\n 'Got cancelled while sending message %r or waiting on prefix %s'\n , message, prefix, exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info('Got message: %s', fut.result())\n return fut.result()\n\n async def read(self, prefix: str) ->str:\n fut = self._read_internal(prefix)\n self.logger.info('Waiting for a single message of type: %s', prefix)\n try:\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning('Got cancelled while waiting for message on %s'\n , prefix, exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info('Got message: %s', fut.result())\n return fut.result()\n\n def listen(self, prefix: str) ->asyncio.Queue:\n assert len(prefix) == 1\n if prefix in self.waiters or prefix in self.queues:\n raise RuntimeError(\n f'Tried to get a queue for message type {prefix} when there was already someonewaiting on it.'\n )\n self.queues[prefix] = asyncio.Queue()\n self.logger.info('Polling for messages of type: %s', prefix)\n return self.queues[prefix]\n\n def unlisten(self, prefix: str) ->None:\n \"\"\"Stops pushing messages with this prefix character to a Queue.\"\"\"\n assert len(prefix) == 1\n del self.queues[prefix]\n self.logger.info('No longer polling for message type: %s', prefix)\n\n async def shutdown(self):\n if not self.initialized:\n return\n self.logger.info('Shutting down.')\n if self.run_task:\n self.run_task.cancel()\n self.run_task = None\n for fut in self.waiters.values():\n fut.cancel()\n self.serial_writer.close()\n await self.serial_writer.wait_closed()\n self.logger.info('Shutdown complete.')\n self.initialized = False\n\n\n__all__ = USBHandler, to_ascii\n",
"step-4": "import asyncio\nimport logging\nimport os.path\nfrom serial_asyncio import open_serial_connection\nfrom typing import NewType, cast\nAsciiBytes = NewType('AsciiBytes', bytes)\n\n\ndef to_ascii(s: str) ->AsciiBytes:\n if s[-1] != '\\n':\n s += '\\n'\n return cast(AsciiBytes, s.encode(encoding='ascii'))\n\n\nclass USBHandler:\n \"\"\"Reads from and writes to the underlying MDB USB board.\n\n Users can either obtain an asyncio.Queue that the handler will push\n messages to using listen(), or it can ask for a one-time read using read().\n For sending messages, if no reply is expected or there is a poller waiting\n for any response, send() can be used, otherwise sendread() will send the\n message and wait for a one-time reply. Having a listener and waiting for a\n single message at the same time is an error. See the Sniffer class for an\n example of both usages.\"\"\"\n\n def __init__(self):\n self.initialized = False\n self.run_task = None\n self.waiters = {}\n self.queues = {}\n self.logger = logging.getLogger('.'.join((__name__, self.__class__.\n __name__)))\n\n async def initialize(self, device_path: str) ->None:\n assert os.path.exists(device_path)\n self.logger.info('Initializing USBReader.')\n self.logger.debug('Opening serial connection to device at %s',\n device_path)\n self.serial_reader, self.serial_writer = await open_serial_connection(\n url=device_path, baudrate=115200)\n self.initialized = True\n self.logger.debug('Connected to serial device at %s.', device_path)\n\n async def _run(self) ->None:\n while True:\n message = await self.serial_reader.readuntil(separator=b'\\r\\n')\n stripped_message = message.decode(encoding='ascii').rstrip('\\n\\r')\n self.logger.debug(\"Read '%s' from MDB board.\", stripped_message)\n message_type = stripped_message[0]\n if message_type in self.waiters:\n self.waiters[message_type].set_result(stripped_message)\n del self.waiters[message_type]\n await asyncio.sleep(0)\n elif message_type in self.queues:\n try:\n self.queues[message_type].put_nowait(stripped_message)\n except asyncio.QueueFull:\n self.logger.warning(\n 'Queue for message type %s is full. Scheduling the put in another task.'\n , message_type)\n asyncio.create_task(self.queues[message_type].put(\n stripped_message))\n else:\n self.logger.error('Unhandled message: %s', stripped_message)\n\n async def run(self) ->None:\n assert self.initialized\n self.logger.info('Starting runner.')\n self.run_task = asyncio.create_task(self._run())\n try:\n await self.run_task\n except asyncio.CancelledError:\n self.logger.info('Runner cancelled.')\n\n async def send(self, message: AsciiBytes, _drain=True) ->None:\n assert self.initialized\n self.logger.info('Sending message to MDB board: %s', message)\n self.serial_writer.write(message)\n if _drain:\n await self.serial_writer.drain()\n self.logger.info('Sent message to MDB board: %s', message)\n\n def _read_internal(self, prefix: str) ->asyncio.Future:\n assert len(prefix) == 1\n if prefix in self.queues or prefix in self.waiters:\n raise RuntimeError(\n f'Tried to wait for message type {prefix} when there was already a queue listening to all messages'\n )\n fut = asyncio.get_running_loop().create_future()\n self.waiters[prefix] = fut\n return fut\n\n async def sendread(self, message: AsciiBytes, prefix: str) ->str:\n await self.send(message, _drain=False)\n fut = self._read_internal(prefix)\n self.logger.info('Waiting for a single message of type: %s', prefix)\n try:\n await self.serial_writer.drain()\n self.logger.info('Sent message to MDB board: %s', message)\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning(\n 'Got cancelled while sending message %r or waiting on prefix %s'\n , message, prefix, exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info('Got message: %s', fut.result())\n return fut.result()\n\n async def read(self, prefix: str) ->str:\n fut = self._read_internal(prefix)\n self.logger.info('Waiting for a single message of type: %s', prefix)\n try:\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning('Got cancelled while waiting for message on %s'\n , prefix, exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info('Got message: %s', fut.result())\n return fut.result()\n\n def listen(self, prefix: str) ->asyncio.Queue:\n assert len(prefix) == 1\n if prefix in self.waiters or prefix in self.queues:\n raise RuntimeError(\n f'Tried to get a queue for message type {prefix} when there was already someonewaiting on it.'\n )\n self.queues[prefix] = asyncio.Queue()\n self.logger.info('Polling for messages of type: %s', prefix)\n return self.queues[prefix]\n\n def unlisten(self, prefix: str) ->None:\n \"\"\"Stops pushing messages with this prefix character to a Queue.\"\"\"\n assert len(prefix) == 1\n del self.queues[prefix]\n self.logger.info('No longer polling for message type: %s', prefix)\n\n async def shutdown(self):\n if not self.initialized:\n return\n self.logger.info('Shutting down.')\n if self.run_task:\n self.run_task.cancel()\n self.run_task = None\n for fut in self.waiters.values():\n fut.cancel()\n self.serial_writer.close()\n await self.serial_writer.wait_closed()\n self.logger.info('Shutdown complete.')\n self.initialized = False\n\n\n__all__ = USBHandler, to_ascii\n",
"step-5": "import asyncio\nimport logging\nimport os.path\nfrom serial_asyncio import open_serial_connection\nfrom typing import NewType, cast\n\n# Type annotations and converters\nAsciiBytes = NewType('AsciiBytes', bytes)\n\n\ndef to_ascii(s: str) -> AsciiBytes:\n if s[-1] != '\\n':\n s += '\\n'\n return cast(AsciiBytes, s.encode(encoding='ascii'))\n\n\nclass USBHandler:\n \"\"\"Reads from and writes to the underlying MDB USB board.\n\n Users can either obtain an asyncio.Queue that the handler will push\n messages to using listen(), or it can ask for a one-time read using read().\n For sending messages, if no reply is expected or there is a poller waiting\n for any response, send() can be used, otherwise sendread() will send the\n message and wait for a one-time reply. Having a listener and waiting for a\n single message at the same time is an error. See the Sniffer class for an\n example of both usages.\"\"\"\n\n def __init__(self):\n self.initialized = False\n self.run_task = None\n self.waiters = {}\n self.queues = {}\n self.logger = logging.getLogger('.'.join((__name__,\n self.__class__.__name__)))\n\n async def initialize(self, device_path: str) -> None:\n assert os.path.exists(device_path)\n self.logger.info(\"Initializing USBReader.\")\n self.logger.debug(\"Opening serial connection to device at %s\",\n device_path)\n self.serial_reader, self.serial_writer = \\\n await open_serial_connection(url=device_path, baudrate=115200)\n self.initialized = True\n self.logger.debug(\"Connected to serial device at %s.\", device_path)\n\n async def _run(self) -> None:\n while True:\n message = await self.serial_reader.readuntil(separator=b'\\r\\n')\n stripped_message = message.decode(encoding='ascii').rstrip('\\n\\r')\n self.logger.debug(\"Read '%s' from MDB board.\", stripped_message)\n message_type = stripped_message[0]\n if message_type in self.waiters:\n self.waiters[message_type].set_result(stripped_message)\n del self.waiters[message_type]\n # Lets the waiter run.\n await asyncio.sleep(0)\n elif message_type in self.queues:\n try:\n self.queues[message_type].put_nowait(stripped_message)\n except asyncio.QueueFull:\n self.logger.warning('Queue for message type %s is full. '\n 'Scheduling the put in another task.',\n message_type)\n asyncio.create_task(\n self.queues[message_type].put(stripped_message))\n else:\n self.logger.error(\"Unhandled message: %s\", stripped_message)\n\n async def run(self) -> None:\n assert self.initialized\n self.logger.info('Starting runner.')\n self.run_task = asyncio.create_task(self._run())\n try:\n await self.run_task\n except asyncio.CancelledError:\n self.logger.info('Runner cancelled.')\n\n async def send(self, message: AsciiBytes, _drain=True) -> None:\n assert self.initialized\n self.logger.info(\"Sending message to MDB board: %s\", message)\n self.serial_writer.write(message)\n if _drain:\n await self.serial_writer.drain()\n self.logger.info(\"Sent message to MDB board: %s\", message)\n\n def _read_internal(self, prefix: str) -> asyncio.Future:\n assert len(prefix) == 1\n if prefix in self.queues or prefix in self.waiters:\n raise RuntimeError(f\"Tried to wait for message type {prefix}\"\n \" when there was already a queue listening to \"\n \"all messages\")\n fut = asyncio.get_running_loop().create_future()\n self.waiters[prefix] = fut\n return fut\n\n async def sendread(self, message: AsciiBytes, prefix: str) -> str:\n await self.send(message, _drain=False)\n fut = self._read_internal(prefix)\n self.logger.info(\"Waiting for a single message of type: %s\", prefix)\n try:\n await self.serial_writer.drain()\n self.logger.info(\"Sent message to MDB board: %s\", message)\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning(\"Got cancelled while sending message %r or \"\n \"waiting on prefix %s\", message, prefix,\n exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info(\"Got message: %s\", fut.result())\n return fut.result()\n\n async def read(self, prefix: str) -> str:\n fut = self._read_internal(prefix)\n self.logger.info(\"Waiting for a single message of type: %s\", prefix)\n try:\n await fut\n except asyncio.CancelledError as e:\n self.logger.warning(\"Got cancelled while waiting for message on \"\n \"%s\", prefix, exc_info=e)\n del self.waiters[prefix]\n raise\n self.logger.info(\"Got message: %s\", fut.result())\n return fut.result()\n\n def listen(self, prefix: str) -> asyncio.Queue:\n assert len(prefix) == 1\n if prefix in self.waiters or prefix in self.queues:\n raise RuntimeError(\"Tried to get a queue for message type \"\n f\"{prefix} when there was already someone\"\n \"waiting on it.\")\n self.queues[prefix] = asyncio.Queue()\n self.logger.info(\"Polling for messages of type: %s\", prefix)\n return self.queues[prefix]\n\n def unlisten(self, prefix: str) -> None:\n \"\"\"Stops pushing messages with this prefix character to a Queue.\"\"\"\n assert len(prefix) == 1\n del self.queues[prefix]\n self.logger.info(\"No longer polling for message type: %s\", prefix)\n\n async def shutdown(self):\n if not self.initialized:\n return\n self.logger.info(\"Shutting down.\")\n if self.run_task:\n self.run_task.cancel()\n self.run_task = None\n for fut in self.waiters.values():\n fut.cancel()\n self.serial_writer.close()\n await self.serial_writer.wait_closed()\n self.logger.info(\"Shutdown complete.\")\n self.initialized = False\n\n\n__all__ = (USBHandler, to_ascii)\n",
"step-ids": [
3,
7,
8,
9,
10
]
}
|
[
3,
7,
8,
9,
10
] |
"""Derivation of variable ``co2s``."""
import dask.array as da
import iris
import numpy as np
import stratify
from ._baseclass import DerivedVariableBase
def _get_first_unmasked_data(array, axis):
"""Get first unmasked value of an array along an axis."""
mask = da.ma.getmaskarray(array)
numerical_mask = da.where(mask, -1.0, 1.0)
indices_first_positive = da.argmax(numerical_mask, axis=axis)
indices = da.meshgrid(
*[da.arange(array.shape[i]) for i in range(array.ndim) if i != axis],
indexing='ij')
indices.insert(axis, indices_first_positive)
first_unmasked_data = np.array(array)[tuple(indices)]
return first_unmasked_data
class DerivedVariable(DerivedVariableBase):
"""Derivation of variable ``co2s``.
Use linear interpolation/extrapolation and surface air pressure to
calculate CO2 mole fraction at surface.
Note
----
In some cases, ``co2`` data is masked. In these cases, the masked values
correspond to values where the pressure level is higher than the surface
air pressure (e.g. the 1000 hPa level for grid cells with high elevation).
To obtain an unmasked ``co2s`` field, it is necessary to fill these masked
values accordingly, i.e. with the lowest unmasked value for each grid cell.
"""
@staticmethod
def required(project):
"""Declare the variables needed for derivation."""
required = [{'short_name': 'co2'}, {'short_name': 'ps'}]
return required
@staticmethod
def calculate(cubes):
"""Compute mole fraction of CO2 at surface."""
co2_cube = cubes.extract_cube(
iris.Constraint(name='mole_fraction_of_carbon_dioxide_in_air'))
ps_cube = cubes.extract_cube(
iris.Constraint(name='surface_air_pressure'))
# Fill masked data if necessary (interpolation fails with masked data)
(z_axis,) = co2_cube.coord_dims(co2_cube.coord(axis='Z',
dim_coords=True))
mask = da.ma.getmaskarray(co2_cube.core_data())
if mask.any():
first_unmasked_data = _get_first_unmasked_data(
co2_cube.core_data(), axis=z_axis)
dim_map = [dim for dim in range(co2_cube.ndim) if dim != z_axis]
first_unmasked_data = iris.util.broadcast_to_shape(
first_unmasked_data, co2_cube.shape, dim_map)
co2_cube.data = da.where(mask, first_unmasked_data,
co2_cube.core_data())
# Interpolation (not supported for dask arrays)
air_pressure_coord = co2_cube.coord('air_pressure')
original_levels = iris.util.broadcast_to_shape(
air_pressure_coord.points, co2_cube.shape,
co2_cube.coord_dims(air_pressure_coord))
target_levels = np.expand_dims(ps_cube.data, axis=z_axis)
co2s_data = stratify.interpolate(
target_levels,
original_levels,
co2_cube.data,
axis=z_axis,
interpolation='linear',
extrapolation='linear',
)
co2s_data = np.squeeze(co2s_data, axis=z_axis)
# Construct co2s cube
indices = [slice(None)] * co2_cube.ndim
indices[z_axis] = 0
co2s_cube = co2_cube[tuple(indices)]
co2s_cube.data = co2s_data
if co2s_cube.coords('air_pressure'):
co2s_cube.remove_coord('air_pressure')
ps_coord = iris.coords.AuxCoord(ps_cube.data,
var_name='plev',
standard_name='air_pressure',
long_name='pressure',
units=ps_cube.units)
co2s_cube.add_aux_coord(ps_coord, np.arange(co2s_cube.ndim))
co2s_cube.convert_units('1e-6')
return co2s_cube
|
normal
|
{
"blob_id": "7c9b68b2d32d8e435f332d4412ea1ba899607ec4",
"index": 9395,
"step-1": "<mask token>\n\n\nclass DerivedVariable(DerivedVariableBase):\n <mask token>\n\n @staticmethod\n def required(project):\n \"\"\"Declare the variables needed for derivation.\"\"\"\n required = [{'short_name': 'co2'}, {'short_name': 'ps'}]\n return required\n\n @staticmethod\n def calculate(cubes):\n \"\"\"Compute mole fraction of CO2 at surface.\"\"\"\n co2_cube = cubes.extract_cube(iris.Constraint(name=\n 'mole_fraction_of_carbon_dioxide_in_air'))\n ps_cube = cubes.extract_cube(iris.Constraint(name=\n 'surface_air_pressure'))\n z_axis, = co2_cube.coord_dims(co2_cube.coord(axis='Z', dim_coords=True)\n )\n mask = da.ma.getmaskarray(co2_cube.core_data())\n if mask.any():\n first_unmasked_data = _get_first_unmasked_data(co2_cube.\n core_data(), axis=z_axis)\n dim_map = [dim for dim in range(co2_cube.ndim) if dim != z_axis]\n first_unmasked_data = iris.util.broadcast_to_shape(\n first_unmasked_data, co2_cube.shape, dim_map)\n co2_cube.data = da.where(mask, first_unmasked_data, co2_cube.\n core_data())\n air_pressure_coord = co2_cube.coord('air_pressure')\n original_levels = iris.util.broadcast_to_shape(air_pressure_coord.\n points, co2_cube.shape, co2_cube.coord_dims(air_pressure_coord))\n target_levels = np.expand_dims(ps_cube.data, axis=z_axis)\n co2s_data = stratify.interpolate(target_levels, original_levels,\n co2_cube.data, axis=z_axis, interpolation='linear',\n extrapolation='linear')\n co2s_data = np.squeeze(co2s_data, axis=z_axis)\n indices = [slice(None)] * co2_cube.ndim\n indices[z_axis] = 0\n co2s_cube = co2_cube[tuple(indices)]\n co2s_cube.data = co2s_data\n if co2s_cube.coords('air_pressure'):\n co2s_cube.remove_coord('air_pressure')\n ps_coord = iris.coords.AuxCoord(ps_cube.data, var_name='plev',\n standard_name='air_pressure', long_name='pressure', units=\n ps_cube.units)\n co2s_cube.add_aux_coord(ps_coord, np.arange(co2s_cube.ndim))\n co2s_cube.convert_units('1e-6')\n return co2s_cube\n",
"step-2": "<mask token>\n\n\nclass DerivedVariable(DerivedVariableBase):\n \"\"\"Derivation of variable ``co2s``.\n\n Use linear interpolation/extrapolation and surface air pressure to\n calculate CO2 mole fraction at surface.\n\n Note\n ----\n In some cases, ``co2`` data is masked. In these cases, the masked values\n correspond to values where the pressure level is higher than the surface\n air pressure (e.g. the 1000 hPa level for grid cells with high elevation).\n To obtain an unmasked ``co2s`` field, it is necessary to fill these masked\n values accordingly, i.e. with the lowest unmasked value for each grid cell.\n\n \"\"\"\n\n @staticmethod\n def required(project):\n \"\"\"Declare the variables needed for derivation.\"\"\"\n required = [{'short_name': 'co2'}, {'short_name': 'ps'}]\n return required\n\n @staticmethod\n def calculate(cubes):\n \"\"\"Compute mole fraction of CO2 at surface.\"\"\"\n co2_cube = cubes.extract_cube(iris.Constraint(name=\n 'mole_fraction_of_carbon_dioxide_in_air'))\n ps_cube = cubes.extract_cube(iris.Constraint(name=\n 'surface_air_pressure'))\n z_axis, = co2_cube.coord_dims(co2_cube.coord(axis='Z', dim_coords=True)\n )\n mask = da.ma.getmaskarray(co2_cube.core_data())\n if mask.any():\n first_unmasked_data = _get_first_unmasked_data(co2_cube.\n core_data(), axis=z_axis)\n dim_map = [dim for dim in range(co2_cube.ndim) if dim != z_axis]\n first_unmasked_data = iris.util.broadcast_to_shape(\n first_unmasked_data, co2_cube.shape, dim_map)\n co2_cube.data = da.where(mask, first_unmasked_data, co2_cube.\n core_data())\n air_pressure_coord = co2_cube.coord('air_pressure')\n original_levels = iris.util.broadcast_to_shape(air_pressure_coord.\n points, co2_cube.shape, co2_cube.coord_dims(air_pressure_coord))\n target_levels = np.expand_dims(ps_cube.data, axis=z_axis)\n co2s_data = stratify.interpolate(target_levels, original_levels,\n co2_cube.data, axis=z_axis, interpolation='linear',\n extrapolation='linear')\n co2s_data = np.squeeze(co2s_data, axis=z_axis)\n indices = [slice(None)] * co2_cube.ndim\n indices[z_axis] = 0\n co2s_cube = co2_cube[tuple(indices)]\n co2s_cube.data = co2s_data\n if co2s_cube.coords('air_pressure'):\n co2s_cube.remove_coord('air_pressure')\n ps_coord = iris.coords.AuxCoord(ps_cube.data, var_name='plev',\n standard_name='air_pressure', long_name='pressure', units=\n ps_cube.units)\n co2s_cube.add_aux_coord(ps_coord, np.arange(co2s_cube.ndim))\n co2s_cube.convert_units('1e-6')\n return co2s_cube\n",
"step-3": "<mask token>\n\n\ndef _get_first_unmasked_data(array, axis):\n \"\"\"Get first unmasked value of an array along an axis.\"\"\"\n mask = da.ma.getmaskarray(array)\n numerical_mask = da.where(mask, -1.0, 1.0)\n indices_first_positive = da.argmax(numerical_mask, axis=axis)\n indices = da.meshgrid(*[da.arange(array.shape[i]) for i in range(array.\n ndim) if i != axis], indexing='ij')\n indices.insert(axis, indices_first_positive)\n first_unmasked_data = np.array(array)[tuple(indices)]\n return first_unmasked_data\n\n\nclass DerivedVariable(DerivedVariableBase):\n \"\"\"Derivation of variable ``co2s``.\n\n Use linear interpolation/extrapolation and surface air pressure to\n calculate CO2 mole fraction at surface.\n\n Note\n ----\n In some cases, ``co2`` data is masked. In these cases, the masked values\n correspond to values where the pressure level is higher than the surface\n air pressure (e.g. the 1000 hPa level for grid cells with high elevation).\n To obtain an unmasked ``co2s`` field, it is necessary to fill these masked\n values accordingly, i.e. with the lowest unmasked value for each grid cell.\n\n \"\"\"\n\n @staticmethod\n def required(project):\n \"\"\"Declare the variables needed for derivation.\"\"\"\n required = [{'short_name': 'co2'}, {'short_name': 'ps'}]\n return required\n\n @staticmethod\n def calculate(cubes):\n \"\"\"Compute mole fraction of CO2 at surface.\"\"\"\n co2_cube = cubes.extract_cube(iris.Constraint(name=\n 'mole_fraction_of_carbon_dioxide_in_air'))\n ps_cube = cubes.extract_cube(iris.Constraint(name=\n 'surface_air_pressure'))\n z_axis, = co2_cube.coord_dims(co2_cube.coord(axis='Z', dim_coords=True)\n )\n mask = da.ma.getmaskarray(co2_cube.core_data())\n if mask.any():\n first_unmasked_data = _get_first_unmasked_data(co2_cube.\n core_data(), axis=z_axis)\n dim_map = [dim for dim in range(co2_cube.ndim) if dim != z_axis]\n first_unmasked_data = iris.util.broadcast_to_shape(\n first_unmasked_data, co2_cube.shape, dim_map)\n co2_cube.data = da.where(mask, first_unmasked_data, co2_cube.\n core_data())\n air_pressure_coord = co2_cube.coord('air_pressure')\n original_levels = iris.util.broadcast_to_shape(air_pressure_coord.\n points, co2_cube.shape, co2_cube.coord_dims(air_pressure_coord))\n target_levels = np.expand_dims(ps_cube.data, axis=z_axis)\n co2s_data = stratify.interpolate(target_levels, original_levels,\n co2_cube.data, axis=z_axis, interpolation='linear',\n extrapolation='linear')\n co2s_data = np.squeeze(co2s_data, axis=z_axis)\n indices = [slice(None)] * co2_cube.ndim\n indices[z_axis] = 0\n co2s_cube = co2_cube[tuple(indices)]\n co2s_cube.data = co2s_data\n if co2s_cube.coords('air_pressure'):\n co2s_cube.remove_coord('air_pressure')\n ps_coord = iris.coords.AuxCoord(ps_cube.data, var_name='plev',\n standard_name='air_pressure', long_name='pressure', units=\n ps_cube.units)\n co2s_cube.add_aux_coord(ps_coord, np.arange(co2s_cube.ndim))\n co2s_cube.convert_units('1e-6')\n return co2s_cube\n",
"step-4": "<mask token>\nimport dask.array as da\nimport iris\nimport numpy as np\nimport stratify\nfrom ._baseclass import DerivedVariableBase\n\n\ndef _get_first_unmasked_data(array, axis):\n \"\"\"Get first unmasked value of an array along an axis.\"\"\"\n mask = da.ma.getmaskarray(array)\n numerical_mask = da.where(mask, -1.0, 1.0)\n indices_first_positive = da.argmax(numerical_mask, axis=axis)\n indices = da.meshgrid(*[da.arange(array.shape[i]) for i in range(array.\n ndim) if i != axis], indexing='ij')\n indices.insert(axis, indices_first_positive)\n first_unmasked_data = np.array(array)[tuple(indices)]\n return first_unmasked_data\n\n\nclass DerivedVariable(DerivedVariableBase):\n \"\"\"Derivation of variable ``co2s``.\n\n Use linear interpolation/extrapolation and surface air pressure to\n calculate CO2 mole fraction at surface.\n\n Note\n ----\n In some cases, ``co2`` data is masked. In these cases, the masked values\n correspond to values where the pressure level is higher than the surface\n air pressure (e.g. the 1000 hPa level for grid cells with high elevation).\n To obtain an unmasked ``co2s`` field, it is necessary to fill these masked\n values accordingly, i.e. with the lowest unmasked value for each grid cell.\n\n \"\"\"\n\n @staticmethod\n def required(project):\n \"\"\"Declare the variables needed for derivation.\"\"\"\n required = [{'short_name': 'co2'}, {'short_name': 'ps'}]\n return required\n\n @staticmethod\n def calculate(cubes):\n \"\"\"Compute mole fraction of CO2 at surface.\"\"\"\n co2_cube = cubes.extract_cube(iris.Constraint(name=\n 'mole_fraction_of_carbon_dioxide_in_air'))\n ps_cube = cubes.extract_cube(iris.Constraint(name=\n 'surface_air_pressure'))\n z_axis, = co2_cube.coord_dims(co2_cube.coord(axis='Z', dim_coords=True)\n )\n mask = da.ma.getmaskarray(co2_cube.core_data())\n if mask.any():\n first_unmasked_data = _get_first_unmasked_data(co2_cube.\n core_data(), axis=z_axis)\n dim_map = [dim for dim in range(co2_cube.ndim) if dim != z_axis]\n first_unmasked_data = iris.util.broadcast_to_shape(\n first_unmasked_data, co2_cube.shape, dim_map)\n co2_cube.data = da.where(mask, first_unmasked_data, co2_cube.\n core_data())\n air_pressure_coord = co2_cube.coord('air_pressure')\n original_levels = iris.util.broadcast_to_shape(air_pressure_coord.\n points, co2_cube.shape, co2_cube.coord_dims(air_pressure_coord))\n target_levels = np.expand_dims(ps_cube.data, axis=z_axis)\n co2s_data = stratify.interpolate(target_levels, original_levels,\n co2_cube.data, axis=z_axis, interpolation='linear',\n extrapolation='linear')\n co2s_data = np.squeeze(co2s_data, axis=z_axis)\n indices = [slice(None)] * co2_cube.ndim\n indices[z_axis] = 0\n co2s_cube = co2_cube[tuple(indices)]\n co2s_cube.data = co2s_data\n if co2s_cube.coords('air_pressure'):\n co2s_cube.remove_coord('air_pressure')\n ps_coord = iris.coords.AuxCoord(ps_cube.data, var_name='plev',\n standard_name='air_pressure', long_name='pressure', units=\n ps_cube.units)\n co2s_cube.add_aux_coord(ps_coord, np.arange(co2s_cube.ndim))\n co2s_cube.convert_units('1e-6')\n return co2s_cube\n",
"step-5": "\"\"\"Derivation of variable ``co2s``.\"\"\"\nimport dask.array as da\nimport iris\nimport numpy as np\nimport stratify\n\nfrom ._baseclass import DerivedVariableBase\n\n\ndef _get_first_unmasked_data(array, axis):\n \"\"\"Get first unmasked value of an array along an axis.\"\"\"\n mask = da.ma.getmaskarray(array)\n numerical_mask = da.where(mask, -1.0, 1.0)\n indices_first_positive = da.argmax(numerical_mask, axis=axis)\n indices = da.meshgrid(\n *[da.arange(array.shape[i]) for i in range(array.ndim) if i != axis],\n indexing='ij')\n indices.insert(axis, indices_first_positive)\n first_unmasked_data = np.array(array)[tuple(indices)]\n return first_unmasked_data\n\n\nclass DerivedVariable(DerivedVariableBase):\n \"\"\"Derivation of variable ``co2s``.\n\n Use linear interpolation/extrapolation and surface air pressure to\n calculate CO2 mole fraction at surface.\n\n Note\n ----\n In some cases, ``co2`` data is masked. In these cases, the masked values\n correspond to values where the pressure level is higher than the surface\n air pressure (e.g. the 1000 hPa level for grid cells with high elevation).\n To obtain an unmasked ``co2s`` field, it is necessary to fill these masked\n values accordingly, i.e. with the lowest unmasked value for each grid cell.\n\n \"\"\"\n\n @staticmethod\n def required(project):\n \"\"\"Declare the variables needed for derivation.\"\"\"\n required = [{'short_name': 'co2'}, {'short_name': 'ps'}]\n return required\n\n @staticmethod\n def calculate(cubes):\n \"\"\"Compute mole fraction of CO2 at surface.\"\"\"\n co2_cube = cubes.extract_cube(\n iris.Constraint(name='mole_fraction_of_carbon_dioxide_in_air'))\n ps_cube = cubes.extract_cube(\n iris.Constraint(name='surface_air_pressure'))\n\n # Fill masked data if necessary (interpolation fails with masked data)\n (z_axis,) = co2_cube.coord_dims(co2_cube.coord(axis='Z',\n dim_coords=True))\n mask = da.ma.getmaskarray(co2_cube.core_data())\n if mask.any():\n first_unmasked_data = _get_first_unmasked_data(\n co2_cube.core_data(), axis=z_axis)\n dim_map = [dim for dim in range(co2_cube.ndim) if dim != z_axis]\n first_unmasked_data = iris.util.broadcast_to_shape(\n first_unmasked_data, co2_cube.shape, dim_map)\n co2_cube.data = da.where(mask, first_unmasked_data,\n co2_cube.core_data())\n\n # Interpolation (not supported for dask arrays)\n air_pressure_coord = co2_cube.coord('air_pressure')\n original_levels = iris.util.broadcast_to_shape(\n air_pressure_coord.points, co2_cube.shape,\n co2_cube.coord_dims(air_pressure_coord))\n target_levels = np.expand_dims(ps_cube.data, axis=z_axis)\n co2s_data = stratify.interpolate(\n target_levels,\n original_levels,\n co2_cube.data,\n axis=z_axis,\n interpolation='linear',\n extrapolation='linear',\n )\n co2s_data = np.squeeze(co2s_data, axis=z_axis)\n\n # Construct co2s cube\n indices = [slice(None)] * co2_cube.ndim\n indices[z_axis] = 0\n co2s_cube = co2_cube[tuple(indices)]\n co2s_cube.data = co2s_data\n if co2s_cube.coords('air_pressure'):\n co2s_cube.remove_coord('air_pressure')\n ps_coord = iris.coords.AuxCoord(ps_cube.data,\n var_name='plev',\n standard_name='air_pressure',\n long_name='pressure',\n units=ps_cube.units)\n co2s_cube.add_aux_coord(ps_coord, np.arange(co2s_cube.ndim))\n co2s_cube.convert_units('1e-6')\n return co2s_cube\n",
"step-ids": [
3,
4,
5,
6,
7
]
}
|
[
3,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
class Solution:
<|reserved_special_token_0|>
class Solution:
def isPowerOfTwo(self, n: int) ->bool:
return n > 0 and n & n - 1 == 0
class Solution:
def isPowerOfTwo(self, n: int) ->bool:
return n > 0 and math.log10(n) / math.log10(2) % 1 == 0
class Solution:
def divide(self, dividend: int, divisor: int) ->int:
"""
a / b = c
keep subtracting b, a faster way is to -2*b, -4*b, -1024*b
if a > 2 * b => c should be bigger than 2 (1<<1)
if a > 4 * b => c should be bigger than 4 (1<<2)
if a > 1024 * b => c should be bigger than 1024 (1<<10)
a might == 1024*b + 4*b + 2*b
c = (1024+4+2)
2 * b == b << 1
1024 * b == b << 10
"""
sig = (dividend < 0) == (divisor < 0)
a, b, res = abs(dividend), abs(divisor), 0
while a >= b:
shift = 0
while a >= b << shift + 1:
print(a, res)
shift += 1
res += 1 << shift
a -= b << shift
return min(res if sig else -res, (1 << 31) - 1)
class Solution:
def myPow(self, x: float, n: int) ->float:
if n == 0:
return 1
if n < 0:
n = -n
x = 1 / x
if n & 1 == 0:
return self.myPow(x * x, n >> 1)
else:
return x * self.myPow(x * x, n >> 1)
class Solution:
def mySqrt(self, x: int) ->int:
l = 1
r = x
while l <= r:
mid = (l + r) // 2
if mid * mid == x:
return mid
elif mid * mid > x:
r = mid - 1
else:
l = mid + 1
return r
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_gcd(a, b):
if b == 0:
return a
print(a, b)
return get_gcd(b, a % b)
<|reserved_special_token_0|>
def divisor1(num):
count = 0
for i in range(1, num + 1):
if num % i == 0:
count += 1
return count
class Solution:
def countPrimes(self, n: int) ->int:
if n < 3:
return 0
primes = [True] * n
primes[0] = primes[1] = False
for i in range(int(n ** 0.5) + 1):
if primes[i]:
for j in range(i + i, n, i):
primes[j] = False
return sum(primes)
def find_primer(n):
if n <= 3:
return n > 1
if n % 6 != 1 and n % 6 != 5:
return False
for i in range(5, int(n ** 0.5) + 1, 6):
if n % i == 0 or n % (i + 2) == 0:
return False
return True
<|reserved_special_token_0|>
class Solution:
def isPowerOfFour(self, n: int) ->bool:
if n <= 0:
return False
return n & n - 1 == 0 and n & 2863311530 == 0
class Solution:
def isPowerOfTwo(self, n: int) ->bool:
return n > 0 and n & n - 1 == 0
class Solution:
def isPowerOfTwo(self, n: int) ->bool:
return n > 0 and math.log10(n) / math.log10(2) % 1 == 0
class Solution:
def divide(self, dividend: int, divisor: int) ->int:
"""
a / b = c
keep subtracting b, a faster way is to -2*b, -4*b, -1024*b
if a > 2 * b => c should be bigger than 2 (1<<1)
if a > 4 * b => c should be bigger than 4 (1<<2)
if a > 1024 * b => c should be bigger than 1024 (1<<10)
a might == 1024*b + 4*b + 2*b
c = (1024+4+2)
2 * b == b << 1
1024 * b == b << 10
"""
sig = (dividend < 0) == (divisor < 0)
a, b, res = abs(dividend), abs(divisor), 0
while a >= b:
shift = 0
while a >= b << shift + 1:
print(a, res)
shift += 1
res += 1 << shift
a -= b << shift
return min(res if sig else -res, (1 << 31) - 1)
class Solution:
def myPow(self, x: float, n: int) ->float:
if n == 0:
return 1
if n < 0:
n = -n
x = 1 / x
if n & 1 == 0:
return self.myPow(x * x, n >> 1)
else:
return x * self.myPow(x * x, n >> 1)
class Solution:
def mySqrt(self, x: int) ->int:
l = 1
r = x
while l <= r:
mid = (l + r) // 2
if mid * mid == x:
return mid
elif mid * mid > x:
r = mid - 1
else:
l = mid + 1
return r
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_gcd(a, b):
if b == 0:
return a
print(a, b)
return get_gcd(b, a % b)
<|reserved_special_token_0|>
def divisor1(num):
count = 0
for i in range(1, num + 1):
if num % i == 0:
count += 1
return count
class Solution:
def countPrimes(self, n: int) ->int:
if n < 3:
return 0
primes = [True] * n
primes[0] = primes[1] = False
for i in range(int(n ** 0.5) + 1):
if primes[i]:
for j in range(i + i, n, i):
primes[j] = False
return sum(primes)
def find_primer(n):
if n <= 3:
return n > 1
if n % 6 != 1 and n % 6 != 5:
return False
for i in range(5, int(n ** 0.5) + 1, 6):
if n % i == 0 or n % (i + 2) == 0:
return False
return True
def divisor2(num):
count = 0
sqrt = int(num ** 0.5)
for x in range(1, sqrt + 1):
if num % x == 0:
count += 2
print(x, num // x)
return count - (sqrt ** 2 == num)
class Solution:
def isPowerOfFour(self, n: int) ->bool:
if n <= 0:
return False
return n & n - 1 == 0 and n & 2863311530 == 0
class Solution:
def isPowerOfTwo(self, n: int) ->bool:
return n > 0 and n & n - 1 == 0
class Solution:
def isPowerOfTwo(self, n: int) ->bool:
return n > 0 and math.log10(n) / math.log10(2) % 1 == 0
class Solution:
def divide(self, dividend: int, divisor: int) ->int:
"""
a / b = c
keep subtracting b, a faster way is to -2*b, -4*b, -1024*b
if a > 2 * b => c should be bigger than 2 (1<<1)
if a > 4 * b => c should be bigger than 4 (1<<2)
if a > 1024 * b => c should be bigger than 1024 (1<<10)
a might == 1024*b + 4*b + 2*b
c = (1024+4+2)
2 * b == b << 1
1024 * b == b << 10
"""
sig = (dividend < 0) == (divisor < 0)
a, b, res = abs(dividend), abs(divisor), 0
while a >= b:
shift = 0
while a >= b << shift + 1:
print(a, res)
shift += 1
res += 1 << shift
a -= b << shift
return min(res if sig else -res, (1 << 31) - 1)
class Solution:
def myPow(self, x: float, n: int) ->float:
if n == 0:
return 1
if n < 0:
n = -n
x = 1 / x
if n & 1 == 0:
return self.myPow(x * x, n >> 1)
else:
return x * self.myPow(x * x, n >> 1)
class Solution:
def mySqrt(self, x: int) ->int:
l = 1
r = x
while l <= r:
mid = (l + r) // 2
if mid * mid == x:
return mid
elif mid * mid > x:
r = mid - 1
else:
l = mid + 1
return r
def root(x, n):
if x == 0:
return 0
low = 0
hi = max(1, x)
root = (low + hi) / 2.0
while root - low >= 0.001:
if root ** n > x:
hi = root
elif root ** n < x:
low = root
else:
break
root = (low + hi) / 2.0
return root
<|reserved_special_token_1|>
import math
def get_gcd(a, b):
if b == 0:
return a
print(a, b)
return get_gcd(b, a % b)
get_gcd(48, 30)
def divisor1(num):
count = 0
for i in range(1, num + 1):
if num % i == 0:
count += 1
return count
class Solution:
def countPrimes(self, n: int) ->int:
if n < 3:
return 0
primes = [True] * n
primes[0] = primes[1] = False
for i in range(int(n ** 0.5) + 1):
if primes[i]:
for j in range(i + i, n, i):
primes[j] = False
return sum(primes)
def find_primer(n):
if n <= 3:
return n > 1
if n % 6 != 1 and n % 6 != 5:
return False
for i in range(5, int(n ** 0.5) + 1, 6):
if n % i == 0 or n % (i + 2) == 0:
return False
return True
def divisor2(num):
count = 0
sqrt = int(num ** 0.5)
for x in range(1, sqrt + 1):
if num % x == 0:
count += 2
print(x, num // x)
return count - (sqrt ** 2 == num)
class Solution:
def isPowerOfFour(self, n: int) ->bool:
if n <= 0:
return False
return n & n - 1 == 0 and n & 2863311530 == 0
class Solution:
def isPowerOfTwo(self, n: int) ->bool:
return n > 0 and n & n - 1 == 0
class Solution:
def isPowerOfTwo(self, n: int) ->bool:
return n > 0 and math.log10(n) / math.log10(2) % 1 == 0
class Solution:
def divide(self, dividend: int, divisor: int) ->int:
"""
a / b = c
keep subtracting b, a faster way is to -2*b, -4*b, -1024*b
if a > 2 * b => c should be bigger than 2 (1<<1)
if a > 4 * b => c should be bigger than 4 (1<<2)
if a > 1024 * b => c should be bigger than 1024 (1<<10)
a might == 1024*b + 4*b + 2*b
c = (1024+4+2)
2 * b == b << 1
1024 * b == b << 10
"""
sig = (dividend < 0) == (divisor < 0)
a, b, res = abs(dividend), abs(divisor), 0
while a >= b:
shift = 0
while a >= b << shift + 1:
print(a, res)
shift += 1
res += 1 << shift
a -= b << shift
return min(res if sig else -res, (1 << 31) - 1)
class Solution:
def myPow(self, x: float, n: int) ->float:
if n == 0:
return 1
if n < 0:
n = -n
x = 1 / x
if n & 1 == 0:
return self.myPow(x * x, n >> 1)
else:
return x * self.myPow(x * x, n >> 1)
class Solution:
def mySqrt(self, x: int) ->int:
l = 1
r = x
while l <= r:
mid = (l + r) // 2
if mid * mid == x:
return mid
elif mid * mid > x:
r = mid - 1
else:
l = mid + 1
return r
def root(x, n):
if x == 0:
return 0
low = 0
hi = max(1, x)
root = (low + hi) / 2.0
while root - low >= 0.001:
if root ** n > x:
hi = root
elif root ** n < x:
low = root
else:
break
root = (low + hi) / 2.0
return root
<|reserved_special_token_1|>
#!/usr/bin/env python3
# coding: utf-8
# Time complexity: O()
# Space complexity: O()
import math
# 最大公约数 Greatest common divisor
def get_gcd(a, b):
if b == 0:
return a
print(a, b)
return get_gcd(b, a % b)
get_gcd(48, 30)
# 计算约数个数
# 时间复杂度 O(n)
def divisor1(num):
count = 0
for i in range(1, num + 1):
if num % i == 0:
count += 1
return count
# count prime，
class Solution:
def countPrimes(self, n: int) -> int:
if n < 3:
return 0
primes = [True] * n
primes[0] = primes[1] = False
for i in range(int(n ** 0.5) + 1):
if primes[i]:
for j in range(i + i, n, i): # delete all its multiples
primes[j] = False
return sum(primes)
# Use upper limit of (n**0.5)+1, because:
# (a) the smallest factor of a non-prime number will not be > sqrt(n).
# Ex. non-prime = 100,
# 5*20
# 10*10,
# 20*5 # !! we have seen 5 before.
# 判断prime，因为所有prime都是6n+1或者6n-1，同时我们只需要计算到sqrt(n)就可以
def find_primer(n):
if n <= 3:
return n > 1
if n%6 != 1 and n%6 != 5:
return False
for i in range(5, int(n**0.5)+1, 6):
if n%i == 0 or n %(i+2) == 0:
return False
return True
# 计算约数个数
# 时间复杂度 O( sqrt(n) )
def divisor2(num):
count = 0
sqrt = int(num ** 0.5)
for x in range(1, sqrt + 1):
if num % x == 0:
count += 2
print(x, num // x)
return count - (sqrt ** 2 == num)
# power of 4
class Solution:
def isPowerOfFour(self, n: int) -> bool:
if n <= 0:
return False
return n & (n - 1) == 0 and n & 0xAAAAAAAA == 0
# power of 2
class Solution:
def isPowerOfTwo(self, n: int) -> bool:
return n > 0 and n & (n - 1) == 0
# power of 2
class Solution:
def isPowerOfTwo(self, n: int) -> bool:
return n > 0 and (math.log10(n) / math.log10(2)) % 1 == 0
# devide
class Solution:
def divide(self, dividend: int, divisor: int) -> int:
"""
a / b = c
keep subtracting b, a faster way is to -2*b, -4*b, -1024*b
if a > 2 * b => c should be bigger than 2 (1<<1)
if a > 4 * b => c should be bigger than 4 (1<<2)
if a > 1024 * b => c should be bigger than 1024 (1<<10)
a might == 1024*b + 4*b + 2*b
c = (1024+4+2)
2 * b == b << 1
1024 * b == b << 10
"""
sig = (dividend < 0) == (divisor < 0)
a, b, res = abs(dividend), abs(divisor), 0
while a >= b:
shift = 0
while a >= b << (shift + 1):
print(a, res)
shift += 1
res += 1 << shift
a -= b << shift
return min(res if sig else -res, (1 << 31) - 1)
# power
class Solution:
def myPow(self, x: float, n: int) -> float:
if n == 0:
return 1
if n < 0:
n = -n
x = 1 / x
if n & 1 == 0:
return self.myPow(x * x, n >> 1)
else:
return x * self.myPow(x * x, n >> 1)
# sqrt
class Solution:
def mySqrt(self, x: int) -> int:
l = 1
r = x
while l <= r:
# print(l,r)
mid = (l + r) // 2
if mid * mid == x:
return mid
elif mid * mid > x:
r = mid - 1
else:
l = mid + 1
return r
# root of number, x is the number and n is the root
def root(x, n):
if x == 0:
return 0
low = 0
hi = max(1, x)
root = (low+hi) / 2.0
while root - low >= 0.001:
if root**n > x:
hi = root
elif root**n < x:
low = root
else:
break
root = (low+hi) / 2.0
return root
|
flexible
|
{
"blob_id": "32066db8b43bc70c564cce5a33f50921285b3627",
"index": 6477,
"step-1": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\nclass Solution:\n\n def isPowerOfTwo(self, n: int) ->bool:\n return n > 0 and n & n - 1 == 0\n\n\nclass Solution:\n\n def isPowerOfTwo(self, n: int) ->bool:\n return n > 0 and math.log10(n) / math.log10(2) % 1 == 0\n\n\nclass Solution:\n\n def divide(self, dividend: int, divisor: int) ->int:\n \"\"\"\n a / b = c\n \n keep subtracting b, a faster way is to -2*b, -4*b, -1024*b\n\n if a > 2 * b => c should be bigger than 2 (1<<1)\n if a > 4 * b => c should be bigger than 4 (1<<2)\n if a > 1024 * b => c should be bigger than 1024 (1<<10)\n\n a might == 1024*b + 4*b + 2*b\n c = (1024+4+2)\n\n 2 * b == b << 1\n 1024 * b == b << 10\n \n \"\"\"\n sig = (dividend < 0) == (divisor < 0)\n a, b, res = abs(dividend), abs(divisor), 0\n while a >= b:\n shift = 0\n while a >= b << shift + 1:\n print(a, res)\n shift += 1\n res += 1 << shift\n a -= b << shift\n return min(res if sig else -res, (1 << 31) - 1)\n\n\nclass Solution:\n\n def myPow(self, x: float, n: int) ->float:\n if n == 0:\n return 1\n if n < 0:\n n = -n\n x = 1 / x\n if n & 1 == 0:\n return self.myPow(x * x, n >> 1)\n else:\n return x * self.myPow(x * x, n >> 1)\n\n\nclass Solution:\n\n def mySqrt(self, x: int) ->int:\n l = 1\n r = x\n while l <= r:\n mid = (l + r) // 2\n if mid * mid == x:\n return mid\n elif mid * mid > x:\n r = mid - 1\n else:\n l = mid + 1\n return r\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_gcd(a, b):\n if b == 0:\n return a\n print(a, b)\n return get_gcd(b, a % b)\n\n\n<mask token>\n\n\ndef divisor1(num):\n count = 0\n for i in range(1, num + 1):\n if num % i == 0:\n count += 1\n return count\n\n\nclass Solution:\n\n def countPrimes(self, n: int) ->int:\n if n < 3:\n return 0\n primes = [True] * n\n primes[0] = primes[1] = False\n for i in range(int(n ** 0.5) + 1):\n if primes[i]:\n for j in range(i + i, n, i):\n primes[j] = False\n return sum(primes)\n\n\ndef find_primer(n):\n if n <= 3:\n return n > 1\n if n % 6 != 1 and n % 6 != 5:\n return False\n for i in range(5, int(n ** 0.5) + 1, 6):\n if n % i == 0 or n % (i + 2) == 0:\n return False\n return True\n\n\n<mask token>\n\n\nclass Solution:\n\n def isPowerOfFour(self, n: int) ->bool:\n if n <= 0:\n return False\n return n & n - 1 == 0 and n & 2863311530 == 0\n\n\nclass Solution:\n\n def isPowerOfTwo(self, n: int) ->bool:\n return n > 0 and n & n - 1 == 0\n\n\nclass Solution:\n\n def isPowerOfTwo(self, n: int) ->bool:\n return n > 0 and math.log10(n) / math.log10(2) % 1 == 0\n\n\nclass Solution:\n\n def divide(self, dividend: int, divisor: int) ->int:\n \"\"\"\n a / b = c\n \n keep subtracting b, a faster way is to -2*b, -4*b, -1024*b\n\n if a > 2 * b => c should be bigger than 2 (1<<1)\n if a > 4 * b => c should be bigger than 4 (1<<2)\n if a > 1024 * b => c should be bigger than 1024 (1<<10)\n\n a might == 1024*b + 4*b + 2*b\n c = (1024+4+2)\n\n 2 * b == b << 1\n 1024 * b == b << 10\n \n \"\"\"\n sig = (dividend < 0) == (divisor < 0)\n a, b, res = abs(dividend), abs(divisor), 0\n while a >= b:\n shift = 0\n while a >= b << shift + 1:\n print(a, res)\n shift += 1\n res += 1 << shift\n a -= b << shift\n return min(res if sig else -res, (1 << 31) - 1)\n\n\nclass Solution:\n\n def myPow(self, x: float, n: int) ->float:\n if n == 0:\n return 1\n if n < 0:\n n = -n\n x = 1 / x\n if n & 1 == 0:\n return self.myPow(x * x, n >> 1)\n else:\n return x * self.myPow(x * x, n >> 1)\n\n\nclass Solution:\n\n def mySqrt(self, x: int) ->int:\n l = 1\n r = x\n while l <= r:\n mid = (l + r) // 2\n if mid * mid == x:\n return mid\n elif mid * mid > x:\n r = mid - 1\n else:\n l = mid + 1\n return r\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef get_gcd(a, b):\n if b == 0:\n return a\n print(a, b)\n return get_gcd(b, a % b)\n\n\n<mask token>\n\n\ndef divisor1(num):\n count = 0\n for i in range(1, num + 1):\n if num % i == 0:\n count += 1\n return count\n\n\nclass Solution:\n\n def countPrimes(self, n: int) ->int:\n if n < 3:\n return 0\n primes = [True] * n\n primes[0] = primes[1] = False\n for i in range(int(n ** 0.5) + 1):\n if primes[i]:\n for j in range(i + i, n, i):\n primes[j] = False\n return sum(primes)\n\n\ndef find_primer(n):\n if n <= 3:\n return n > 1\n if n % 6 != 1 and n % 6 != 5:\n return False\n for i in range(5, int(n ** 0.5) + 1, 6):\n if n % i == 0 or n % (i + 2) == 0:\n return False\n return True\n\n\ndef divisor2(num):\n count = 0\n sqrt = int(num ** 0.5)\n for x in range(1, sqrt + 1):\n if num % x == 0:\n count += 2\n print(x, num // x)\n return count - (sqrt ** 2 == num)\n\n\nclass Solution:\n\n def isPowerOfFour(self, n: int) ->bool:\n if n <= 0:\n return False\n return n & n - 1 == 0 and n & 2863311530 == 0\n\n\nclass Solution:\n\n def isPowerOfTwo(self, n: int) ->bool:\n return n > 0 and n & n - 1 == 0\n\n\nclass Solution:\n\n def isPowerOfTwo(self, n: int) ->bool:\n return n > 0 and math.log10(n) / math.log10(2) % 1 == 0\n\n\nclass Solution:\n\n def divide(self, dividend: int, divisor: int) ->int:\n \"\"\"\n a / b = c\n \n keep subtracting b, a faster way is to -2*b, -4*b, -1024*b\n\n if a > 2 * b => c should be bigger than 2 (1<<1)\n if a > 4 * b => c should be bigger than 4 (1<<2)\n if a > 1024 * b => c should be bigger than 1024 (1<<10)\n\n a might == 1024*b + 4*b + 2*b\n c = (1024+4+2)\n\n 2 * b == b << 1\n 1024 * b == b << 10\n \n \"\"\"\n sig = (dividend < 0) == (divisor < 0)\n a, b, res = abs(dividend), abs(divisor), 0\n while a >= b:\n shift = 0\n while a >= b << shift + 1:\n print(a, res)\n shift += 1\n res += 1 << shift\n a -= b << shift\n return min(res if sig else -res, (1 << 31) - 1)\n\n\nclass Solution:\n\n def myPow(self, x: float, n: int) ->float:\n if n == 0:\n return 1\n if n < 0:\n n = -n\n x = 1 / x\n if n & 1 == 0:\n return self.myPow(x * x, n >> 1)\n else:\n return x * self.myPow(x * x, n >> 1)\n\n\nclass Solution:\n\n def mySqrt(self, x: int) ->int:\n l = 1\n r = x\n while l <= r:\n mid = (l + r) // 2\n if mid * mid == x:\n return mid\n elif mid * mid > x:\n r = mid - 1\n else:\n l = mid + 1\n return r\n\n\ndef root(x, n):\n if x == 0:\n return 0\n low = 0\n hi = max(1, x)\n root = (low + hi) / 2.0\n while root - low >= 0.001:\n if root ** n > x:\n hi = root\n elif root ** n < x:\n low = root\n else:\n break\n root = (low + hi) / 2.0\n return root\n",
"step-4": "import math\n\n\ndef get_gcd(a, b):\n if b == 0:\n return a\n print(a, b)\n return get_gcd(b, a % b)\n\n\nget_gcd(48, 30)\n\n\ndef divisor1(num):\n count = 0\n for i in range(1, num + 1):\n if num % i == 0:\n count += 1\n return count\n\n\nclass Solution:\n\n def countPrimes(self, n: int) ->int:\n if n < 3:\n return 0\n primes = [True] * n\n primes[0] = primes[1] = False\n for i in range(int(n ** 0.5) + 1):\n if primes[i]:\n for j in range(i + i, n, i):\n primes[j] = False\n return sum(primes)\n\n\ndef find_primer(n):\n if n <= 3:\n return n > 1\n if n % 6 != 1 and n % 6 != 5:\n return False\n for i in range(5, int(n ** 0.5) + 1, 6):\n if n % i == 0 or n % (i + 2) == 0:\n return False\n return True\n\n\ndef divisor2(num):\n count = 0\n sqrt = int(num ** 0.5)\n for x in range(1, sqrt + 1):\n if num % x == 0:\n count += 2\n print(x, num // x)\n return count - (sqrt ** 2 == num)\n\n\nclass Solution:\n\n def isPowerOfFour(self, n: int) ->bool:\n if n <= 0:\n return False\n return n & n - 1 == 0 and n & 2863311530 == 0\n\n\nclass Solution:\n\n def isPowerOfTwo(self, n: int) ->bool:\n return n > 0 and n & n - 1 == 0\n\n\nclass Solution:\n\n def isPowerOfTwo(self, n: int) ->bool:\n return n > 0 and math.log10(n) / math.log10(2) % 1 == 0\n\n\nclass Solution:\n\n def divide(self, dividend: int, divisor: int) ->int:\n \"\"\"\n a / b = c\n \n keep subtracting b, a faster way is to -2*b, -4*b, -1024*b\n\n if a > 2 * b => c should be bigger than 2 (1<<1)\n if a > 4 * b => c should be bigger than 4 (1<<2)\n if a > 1024 * b => c should be bigger than 1024 (1<<10)\n\n a might == 1024*b + 4*b + 2*b\n c = (1024+4+2)\n\n 2 * b == b << 1\n 1024 * b == b << 10\n \n \"\"\"\n sig = (dividend < 0) == (divisor < 0)\n a, b, res = abs(dividend), abs(divisor), 0\n while a >= b:\n shift = 0\n while a >= b << shift + 1:\n print(a, res)\n shift += 1\n res += 1 << shift\n a -= b << shift\n return min(res if sig else -res, (1 << 31) - 1)\n\n\nclass Solution:\n\n def myPow(self, x: float, n: int) ->float:\n if n == 0:\n return 1\n if n < 0:\n n = -n\n x = 1 / x\n if n & 1 == 0:\n return self.myPow(x * x, n >> 1)\n else:\n return x * self.myPow(x * x, n >> 1)\n\n\nclass Solution:\n\n def mySqrt(self, x: int) ->int:\n l = 1\n r = x\n while l <= r:\n mid = (l + r) // 2\n if mid * mid == x:\n return mid\n elif mid * mid > x:\n r = mid - 1\n else:\n l = mid + 1\n return r\n\n\ndef root(x, n):\n if x == 0:\n return 0\n low = 0\n hi = max(1, x)\n root = (low + hi) / 2.0\n while root - low >= 0.001:\n if root ** n > x:\n hi = root\n elif root ** n < x:\n low = root\n else:\n break\n root = (low + hi) / 2.0\n return root\n",
"step-5": "#!/usr/bin/env python3\n# coding: utf-8\n\n# Time complexity: O()\n# Space complexity: O()\n\nimport math\n\n# 最大公约数 Greatest common divisor\ndef get_gcd(a, b):\n if b == 0:\n return a\n print(a, b)\n return get_gcd(b, a % b)\n\nget_gcd(48, 30)\n\n# 计算约数个数\n# 时间复杂度 O(n)\ndef divisor1(num):\n count = 0\n for i in range(1, num + 1):\n if num % i == 0:\n count += 1\n\n return count\n\n\n# count prime， \nclass Solution:\n def countPrimes(self, n: int) -> int:\n if n < 3:\n return 0\n primes = [True] * n\n primes[0] = primes[1] = False\n for i in range(int(n ** 0.5) + 1):\n if primes[i]:\n for j in range(i + i, n, i): # delete all its multiples\n primes[j] = False\n return sum(primes)\n\n\n# Use upper limit of (n**0.5)+1, because:\n# (a) the smallest factor of a non-prime number will not be > sqrt(n).\n# Ex. non-prime = 100,\n# 5*20\n# 10*10,\n# 20*5 # !! we have seen 5 before.\n\n\n\n# 判断prime，因为所有prime都是6n+1或者6n-1，同时我们只需要计算到sqrt(n)就可以\ndef find_primer(n):\n if n <= 3:\n return n > 1\n if n%6 != 1 and n%6 != 5:\n return False\n for i in range(5, int(n**0.5)+1, 6):\n if n%i == 0 or n %(i+2) == 0:\n return False\n return True\n\n\n# 计算约数个数\n# 时间复杂度 O( sqrt(n) )\ndef divisor2(num):\n count = 0\n sqrt = int(num ** 0.5)\n for x in range(1, sqrt + 1):\n if num % x == 0:\n count += 2\n print(x, num // x)\n return count - (sqrt ** 2 == num)\n\n\n# power of 4\nclass Solution:\n def isPowerOfFour(self, n: int) -> bool:\n if n <= 0:\n return False\n return n & (n - 1) == 0 and n & 0xAAAAAAAA == 0\n\n\n# power of 2\nclass Solution:\n def isPowerOfTwo(self, n: int) -> bool:\n return n > 0 and n & (n - 1) == 0\n\n\n# power of 2\nclass Solution:\n def isPowerOfTwo(self, n: int) -> bool:\n return n > 0 and (math.log10(n) / math.log10(2)) % 1 == 0\n\n\n# devide\nclass Solution:\n def divide(self, dividend: int, divisor: int) -> int:\n \"\"\"\n a / b = c\n \n keep subtracting b, a faster way is to -2*b, -4*b, -1024*b\n\n if a > 2 * b => c should be bigger than 2 (1<<1)\n if a > 4 * b => c should be bigger than 4 (1<<2)\n if a > 1024 * b => c should be bigger than 1024 (1<<10)\n\n a might == 1024*b + 4*b + 2*b\n c = (1024+4+2)\n\n 2 * b == b << 1\n 1024 * b == b << 10\n \n \"\"\"\n sig = (dividend < 0) == (divisor < 0)\n a, b, res = abs(dividend), abs(divisor), 0\n while a >= b:\n shift = 0\n while a >= b << (shift + 1):\n print(a, res)\n shift += 1\n res += 1 << shift\n a -= b << shift\n return min(res if sig else -res, (1 << 31) - 1)\n\n\n# power\nclass Solution:\n def myPow(self, x: float, n: int) -> float:\n if n == 0:\n return 1\n if n < 0:\n n = -n\n x = 1 / x\n if n & 1 == 0:\n return self.myPow(x * x, n >> 1)\n else:\n return x * self.myPow(x * x, n >> 1)\n\n# sqrt\nclass Solution:\n def mySqrt(self, x: int) -> int:\n l = 1\n r = x\n while l <= r:\n # print(l,r)\n mid = (l + r) // 2\n if mid * mid == x:\n return mid\n elif mid * mid > x:\n r = mid - 1\n else:\n l = mid + 1\n\n return r\n\n\n# root of number, x is the number and n is the root\ndef root(x, n):\n if x == 0:\n return 0\n \n low = 0\n hi = max(1, x)\n root = (low+hi) / 2.0\n \n while root - low >= 0.001:\n if root**n > x:\n hi = root\n elif root**n < x:\n low = root\n else:\n break\n root = (low+hi) / 2.0\n \n return root",
"step-ids": [
11,
17,
19,
21,
22
]
}
|
[
11,
17,
19,
21,
22
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
ap.add_argument('-D', '--dir', required=False, help='Directory to sort')
<|reserved_special_token_0|>
if args['dir'] == None:
DIR = os.getcwd()
elif os.path.exists(args['dir']):
DIR = args['dir']
for file in os.listdir(DIR):
if not os.path.isdir(os.path.join(DIR, file)):
name, ext = os.path.splitext(file)
ext = ext[::-1][:-1][::-1]
if os.path.exists(os.path.join(DIR, ext.upper())):
shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.
upper(), file))
else:
os.mkdir(os.path.join(DIR, ext.upper()))
shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.
upper(), file))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
ap = argparse.ArgumentParser()
ap.add_argument('-D', '--dir', required=False, help='Directory to sort')
args = vars(ap.parse_args())
if args['dir'] == None:
DIR = os.getcwd()
elif os.path.exists(args['dir']):
DIR = args['dir']
for file in os.listdir(DIR):
if not os.path.isdir(os.path.join(DIR, file)):
name, ext = os.path.splitext(file)
ext = ext[::-1][:-1][::-1]
if os.path.exists(os.path.join(DIR, ext.upper())):
shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.
upper(), file))
else:
os.mkdir(os.path.join(DIR, ext.upper()))
shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.
upper(), file))
<|reserved_special_token_1|>
import os
import shutil
import argparse
ap = argparse.ArgumentParser()
ap.add_argument('-D', '--dir', required=False, help='Directory to sort')
args = vars(ap.parse_args())
if args['dir'] == None:
DIR = os.getcwd()
elif os.path.exists(args['dir']):
DIR = args['dir']
for file in os.listdir(DIR):
if not os.path.isdir(os.path.join(DIR, file)):
name, ext = os.path.splitext(file)
ext = ext[::-1][:-1][::-1]
if os.path.exists(os.path.join(DIR, ext.upper())):
shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.
upper(), file))
else:
os.mkdir(os.path.join(DIR, ext.upper()))
shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.
upper(), file))
|
flexible
|
{
"blob_id": "93737e4c409d0efb1ae2263cb60d4b03d9aad0d8",
"index": 247,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nap.add_argument('-D', '--dir', required=False, help='Directory to sort')\n<mask token>\nif args['dir'] == None:\n DIR = os.getcwd()\nelif os.path.exists(args['dir']):\n DIR = args['dir']\nfor file in os.listdir(DIR):\n if not os.path.isdir(os.path.join(DIR, file)):\n name, ext = os.path.splitext(file)\n ext = ext[::-1][:-1][::-1]\n if os.path.exists(os.path.join(DIR, ext.upper())):\n shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.\n upper(), file))\n else:\n os.mkdir(os.path.join(DIR, ext.upper()))\n shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.\n upper(), file))\n",
"step-3": "<mask token>\nap = argparse.ArgumentParser()\nap.add_argument('-D', '--dir', required=False, help='Directory to sort')\nargs = vars(ap.parse_args())\nif args['dir'] == None:\n DIR = os.getcwd()\nelif os.path.exists(args['dir']):\n DIR = args['dir']\nfor file in os.listdir(DIR):\n if not os.path.isdir(os.path.join(DIR, file)):\n name, ext = os.path.splitext(file)\n ext = ext[::-1][:-1][::-1]\n if os.path.exists(os.path.join(DIR, ext.upper())):\n shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.\n upper(), file))\n else:\n os.mkdir(os.path.join(DIR, ext.upper()))\n shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.\n upper(), file))\n",
"step-4": "import os\nimport shutil\nimport argparse\nap = argparse.ArgumentParser()\nap.add_argument('-D', '--dir', required=False, help='Directory to sort')\nargs = vars(ap.parse_args())\nif args['dir'] == None:\n DIR = os.getcwd()\nelif os.path.exists(args['dir']):\n DIR = args['dir']\nfor file in os.listdir(DIR):\n if not os.path.isdir(os.path.join(DIR, file)):\n name, ext = os.path.splitext(file)\n ext = ext[::-1][:-1][::-1]\n if os.path.exists(os.path.join(DIR, ext.upper())):\n shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.\n upper(), file))\n else:\n os.mkdir(os.path.join(DIR, ext.upper()))\n shutil.move(os.path.join(DIR, file), os.path.join(DIR, ext.\n upper(), file))\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def isSubsetSum(set, n, sum):
subset = [[(False) for i in range(sum + 1)] for i in range(n + 1)]
for i in range(n + 1):
subset[i][0] = True
for i in range(1, sum + 1):
subset[0][i] = False
for i in range(1, n + 1):
for j in range(1, sum + 1):
if j < set[i - 1]:
subset[i][j] = subset[i - 1][j]
if j >= set[i - 1]:
subset[i][j] = subset[i - 1][j] or subset[i - 1][j - set[i - 1]
]
return subset[n][sum]
<|reserved_special_token_0|>
<|reserved_special_token_1|>
def isSubsetSum(set, n, sum):
subset = [[(False) for i in range(sum + 1)] for i in range(n + 1)]
for i in range(n + 1):
subset[i][0] = True
for i in range(1, sum + 1):
subset[0][i] = False
for i in range(1, n + 1):
for j in range(1, sum + 1):
if j < set[i - 1]:
subset[i][j] = subset[i - 1][j]
if j >= set[i - 1]:
subset[i][j] = subset[i - 1][j] or subset[i - 1][j - set[i - 1]
]
return subset[n][sum]
<|reserved_special_token_0|>
for i in range(t):
n, k = map(int, input().split())
lst = list(map(int, input().strip().split(' ')))[:n]
if isSubsetSum(lst, n, k) == True:
print('YES')
else:
print('NO')
<|reserved_special_token_1|>
def isSubsetSum(set, n, sum):
subset = [[(False) for i in range(sum + 1)] for i in range(n + 1)]
for i in range(n + 1):
subset[i][0] = True
for i in range(1, sum + 1):
subset[0][i] = False
for i in range(1, n + 1):
for j in range(1, sum + 1):
if j < set[i - 1]:
subset[i][j] = subset[i - 1][j]
if j >= set[i - 1]:
subset[i][j] = subset[i - 1][j] or subset[i - 1][j - set[i - 1]
]
return subset[n][sum]
t = int(input())
for i in range(t):
n, k = map(int, input().split())
lst = list(map(int, input().strip().split(' ')))[:n]
if isSubsetSum(lst, n, k) == True:
print('YES')
else:
print('NO')
<|reserved_special_token_1|>
def isSubsetSum(set, n, sum):
subset =([[False for i in range(sum + 1)] for i in range(n + 1)])
for i in range(n + 1):
subset[i][0] = True
for i in range(1, sum + 1):
subset[0][i]= False
for i in range(1, n + 1):
for j in range(1, sum + 1):
if j<set[i-1]:
subset[i][j] = subset[i-1][j]
if j>= set[i-1]:
subset[i][j] = (subset[i-1][j] or subset[i - 1][j-set[i-1]])
return subset[n][sum]
t=int(input())
for i in range(t):
n,k=map(int,input().split())
lst=list(map(int,input().strip().split(' ')))[:n]
if (isSubsetSum(lst, n, k) == True):
print("YES")
else:
print("NO")
|
flexible
|
{
"blob_id": "830e7e84eebd6a4adb411cc95c9e9c8ff7bdac30",
"index": 778,
"step-1": "<mask token>\n",
"step-2": "def isSubsetSum(set, n, sum):\n subset = [[(False) for i in range(sum + 1)] for i in range(n + 1)]\n for i in range(n + 1):\n subset[i][0] = True\n for i in range(1, sum + 1):\n subset[0][i] = False\n for i in range(1, n + 1):\n for j in range(1, sum + 1):\n if j < set[i - 1]:\n subset[i][j] = subset[i - 1][j]\n if j >= set[i - 1]:\n subset[i][j] = subset[i - 1][j] or subset[i - 1][j - set[i - 1]\n ]\n return subset[n][sum]\n\n\n<mask token>\n",
"step-3": "def isSubsetSum(set, n, sum):\n subset = [[(False) for i in range(sum + 1)] for i in range(n + 1)]\n for i in range(n + 1):\n subset[i][0] = True\n for i in range(1, sum + 1):\n subset[0][i] = False\n for i in range(1, n + 1):\n for j in range(1, sum + 1):\n if j < set[i - 1]:\n subset[i][j] = subset[i - 1][j]\n if j >= set[i - 1]:\n subset[i][j] = subset[i - 1][j] or subset[i - 1][j - set[i - 1]\n ]\n return subset[n][sum]\n\n\n<mask token>\nfor i in range(t):\n n, k = map(int, input().split())\n lst = list(map(int, input().strip().split(' ')))[:n]\n if isSubsetSum(lst, n, k) == True:\n print('YES')\n else:\n print('NO')\n",
"step-4": "def isSubsetSum(set, n, sum):\n subset = [[(False) for i in range(sum + 1)] for i in range(n + 1)]\n for i in range(n + 1):\n subset[i][0] = True\n for i in range(1, sum + 1):\n subset[0][i] = False\n for i in range(1, n + 1):\n for j in range(1, sum + 1):\n if j < set[i - 1]:\n subset[i][j] = subset[i - 1][j]\n if j >= set[i - 1]:\n subset[i][j] = subset[i - 1][j] or subset[i - 1][j - set[i - 1]\n ]\n return subset[n][sum]\n\n\nt = int(input())\nfor i in range(t):\n n, k = map(int, input().split())\n lst = list(map(int, input().strip().split(' ')))[:n]\n if isSubsetSum(lst, n, k) == True:\n print('YES')\n else:\n print('NO')\n",
"step-5": "def isSubsetSum(set, n, sum): \n subset =([[False for i in range(sum + 1)] for i in range(n + 1)]) \n for i in range(n + 1): \n subset[i][0] = True\n for i in range(1, sum + 1): \n subset[0][i]= False\n for i in range(1, n + 1): \n for j in range(1, sum + 1): \n if j<set[i-1]: \n subset[i][j] = subset[i-1][j] \n if j>= set[i-1]: \n subset[i][j] = (subset[i-1][j] or subset[i - 1][j-set[i-1]]) \n return subset[n][sum] \nt=int(input())\nfor i in range(t):\n n,k=map(int,input().split())\n lst=list(map(int,input().strip().split(' ')))[:n]\n if (isSubsetSum(lst, n, k) == True): \n print(\"YES\") \n else: \n print(\"NO\") \n \n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
import unittest
from app.party import Party
from app.guest import Guest
from app.shoppingList import ShoppingList
def test_aPartywithNoGuestsShouldHaveNoPartyGuests():
party = Party()
assert 0 == party.numberOfGuests()
def test_aPartywithOneGuestShouldHaveOnePartyGuest():
party = Party()
lisa = Guest("Lisa", 'female')
party.attendedBy(lisa)
assert 1 == party.numberOfGuests()
def test_aPartywithThreeGuestsShouldHaveThreeGuests():
party = Party()
lisa = Guest("Lisa", 'female')
rob = Guest("Rob", 'male')
susan = Guest("susan", 'female')
party.attendedBy(lisa)
party.attendedBy(rob)
party.attendedBy(susan)
assert 3 == party.numberOfGuests()
def test_aGuestShouldBeAbleToLeaveAParty():
party = Party()
lisa = Guest("Lisa", 'female')
rob = Guest("Rob", 'male')
susan = Guest("susan", 'female')
party.attendedBy(lisa)
party.attendedBy(rob)
party.attendedBy(susan)
party.leftBy(rob)
assert 2 == party.numberOfGuests()
def test_aPartyShouldHaveALocation():
party = Party()
party.setLocation("my House")
assert "my House" == party.getLocation()
def test_aGuestShouldRevealHerName():
guest1 = Guest("Lisa", "female")
assert "Lisa" == guest1.hasName()
def test_weShouldKnowWhoIsAtTheParty():
party = Party()
lisa = Guest("Lisa", 'female')
rob = Guest("Rob", 'male')
susan = Guest("susan", 'female')
party.attendedBy(lisa)
party.attendedBy(rob)
party.attendedBy(susan)
assert ["Lisa", "Rob", "susan"] == party.getAttendees()
def test_weShouldBeAbleToCreateAnEmptyShoppingList():
shoppingList = ShoppingList()
assert shoppingList.getItems() == []
def test_weShouldBeAbleToAddItemsToShoppingList():
shoppingList = ShoppingList()
shoppingList.add("milk")
assert shoppingList.getItems() == ["milk"]
def test_createShoppingListBasedOnParty():
shoppingList = ShoppingList()
party = Party()
lisa = Guest("Lisa", 'female')
rob = Guest("Rob", 'male')
susan = Guest("susan", 'female')
party.attendedBy(lisa)
party.attendedBy(rob)
party.attendedBy(susan)
shoppingList.baseOn(party)
assert shoppingList.getItems() == ["wine for 4", "food for 4"]
|
normal
|
{
"blob_id": "a8df6b575afbf6db415e0676a796623f2a9b7a70",
"index": 8416,
"step-1": "<mask token>\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n party = Party()\n lisa = Guest('Lisa', 'female')\n party.attendedBy(lisa)\n assert 1 == party.numberOfGuests()\n\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert 3 == party.numberOfGuests()\n\n\n<mask token>\n\n\ndef test_aPartyShouldHaveALocation():\n party = Party()\n party.setLocation('my House')\n assert 'my House' == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n guest1 = Guest('Lisa', 'female')\n assert 'Lisa' == guest1.hasName()\n\n\n<mask token>\n\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n shoppingList = ShoppingList()\n shoppingList.add('milk')\n assert shoppingList.getItems() == ['milk']\n\n\ndef test_createShoppingListBasedOnParty():\n shoppingList = ShoppingList()\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n shoppingList.baseOn(party)\n assert shoppingList.getItems() == ['wine for 4', 'food for 4']\n",
"step-2": "<mask token>\n\n\ndef test_aPartywithNoGuestsShouldHaveNoPartyGuests():\n party = Party()\n assert 0 == party.numberOfGuests()\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n party = Party()\n lisa = Guest('Lisa', 'female')\n party.attendedBy(lisa)\n assert 1 == party.numberOfGuests()\n\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert 3 == party.numberOfGuests()\n\n\ndef test_aGuestShouldBeAbleToLeaveAParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n party.leftBy(rob)\n assert 2 == party.numberOfGuests()\n\n\ndef test_aPartyShouldHaveALocation():\n party = Party()\n party.setLocation('my House')\n assert 'my House' == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n guest1 = Guest('Lisa', 'female')\n assert 'Lisa' == guest1.hasName()\n\n\n<mask token>\n\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n shoppingList = ShoppingList()\n shoppingList.add('milk')\n assert shoppingList.getItems() == ['milk']\n\n\ndef test_createShoppingListBasedOnParty():\n shoppingList = ShoppingList()\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n shoppingList.baseOn(party)\n assert shoppingList.getItems() == ['wine for 4', 'food for 4']\n",
"step-3": "<mask token>\n\n\ndef test_aPartywithNoGuestsShouldHaveNoPartyGuests():\n party = Party()\n assert 0 == party.numberOfGuests()\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n party = Party()\n lisa = Guest('Lisa', 'female')\n party.attendedBy(lisa)\n assert 1 == party.numberOfGuests()\n\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert 3 == party.numberOfGuests()\n\n\ndef test_aGuestShouldBeAbleToLeaveAParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n party.leftBy(rob)\n assert 2 == party.numberOfGuests()\n\n\ndef test_aPartyShouldHaveALocation():\n party = Party()\n party.setLocation('my House')\n assert 'my House' == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n guest1 = Guest('Lisa', 'female')\n assert 'Lisa' == guest1.hasName()\n\n\ndef test_weShouldKnowWhoIsAtTheParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert ['Lisa', 'Rob', 'susan'] == party.getAttendees()\n\n\n<mask token>\n\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n shoppingList = ShoppingList()\n shoppingList.add('milk')\n assert shoppingList.getItems() == ['milk']\n\n\ndef test_createShoppingListBasedOnParty():\n shoppingList = ShoppingList()\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n shoppingList.baseOn(party)\n assert shoppingList.getItems() == ['wine for 4', 'food for 4']\n",
"step-4": "<mask token>\n\n\ndef test_aPartywithNoGuestsShouldHaveNoPartyGuests():\n party = Party()\n assert 0 == party.numberOfGuests()\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n party = Party()\n lisa = Guest('Lisa', 'female')\n party.attendedBy(lisa)\n assert 1 == party.numberOfGuests()\n\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert 3 == party.numberOfGuests()\n\n\ndef test_aGuestShouldBeAbleToLeaveAParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n party.leftBy(rob)\n assert 2 == party.numberOfGuests()\n\n\ndef test_aPartyShouldHaveALocation():\n party = Party()\n party.setLocation('my House')\n assert 'my House' == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n guest1 = Guest('Lisa', 'female')\n assert 'Lisa' == guest1.hasName()\n\n\ndef test_weShouldKnowWhoIsAtTheParty():\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n assert ['Lisa', 'Rob', 'susan'] == party.getAttendees()\n\n\ndef test_weShouldBeAbleToCreateAnEmptyShoppingList():\n shoppingList = ShoppingList()\n assert shoppingList.getItems() == []\n\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n shoppingList = ShoppingList()\n shoppingList.add('milk')\n assert shoppingList.getItems() == ['milk']\n\n\ndef test_createShoppingListBasedOnParty():\n shoppingList = ShoppingList()\n party = Party()\n lisa = Guest('Lisa', 'female')\n rob = Guest('Rob', 'male')\n susan = Guest('susan', 'female')\n party.attendedBy(lisa)\n party.attendedBy(rob)\n party.attendedBy(susan)\n shoppingList.baseOn(party)\n assert shoppingList.getItems() == ['wine for 4', 'food for 4']\n",
"step-5": "import unittest\nfrom app.party import Party\nfrom app.guest import Guest\nfrom app.shoppingList import ShoppingList\n\ndef test_aPartywithNoGuestsShouldHaveNoPartyGuests():\n\tparty = Party()\n\tassert 0 == party.numberOfGuests()\n\n\ndef test_aPartywithOneGuestShouldHaveOnePartyGuest():\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\tparty.attendedBy(lisa)\n\tassert 1 == party.numberOfGuests()\n\ndef test_aPartywithThreeGuestsShouldHaveThreeGuests():\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\trob = Guest(\"Rob\", 'male')\n\tsusan = Guest(\"susan\", 'female')\n\tparty.attendedBy(lisa)\n\tparty.attendedBy(rob)\n\tparty.attendedBy(susan)\n\tassert 3 == party.numberOfGuests()\n\ndef test_aGuestShouldBeAbleToLeaveAParty():\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\trob = Guest(\"Rob\", 'male')\n\tsusan = Guest(\"susan\", 'female')\n\tparty.attendedBy(lisa)\n\tparty.attendedBy(rob)\n\tparty.attendedBy(susan)\n\tparty.leftBy(rob)\n\tassert 2 == party.numberOfGuests()\n\ndef test_aPartyShouldHaveALocation():\n\tparty = Party()\n\tparty.setLocation(\"my House\")\n\tassert \"my House\" == party.getLocation()\n\n\ndef test_aGuestShouldRevealHerName():\n\tguest1 = Guest(\"Lisa\", \"female\")\n\tassert \"Lisa\" == guest1.hasName()\n\ndef test_weShouldKnowWhoIsAtTheParty():\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\trob = Guest(\"Rob\", 'male')\n\tsusan = Guest(\"susan\", 'female')\n\tparty.attendedBy(lisa)\n\tparty.attendedBy(rob)\n\tparty.attendedBy(susan)\n\tassert [\"Lisa\", \"Rob\", \"susan\"] == party.getAttendees()\n\n\ndef test_weShouldBeAbleToCreateAnEmptyShoppingList():\n\tshoppingList = ShoppingList()\n\tassert shoppingList.getItems() == []\n\ndef test_weShouldBeAbleToAddItemsToShoppingList():\n\tshoppingList = ShoppingList()\n\tshoppingList.add(\"milk\")\n\tassert shoppingList.getItems() == [\"milk\"]\n\n\ndef test_createShoppingListBasedOnParty():\n\tshoppingList = ShoppingList()\n\tparty = Party()\n\tlisa = Guest(\"Lisa\", 'female')\n\trob = Guest(\"Rob\", 'male')\n\tsusan = Guest(\"susan\", 'female')\n\tparty.attendedBy(lisa)\n\tparty.attendedBy(rob)\n\tparty.attendedBy(susan)\n\tshoppingList.baseOn(party)\n\tassert shoppingList.getItems() == [\"wine for 4\", \"food for 4\"]\n\n\n",
"step-ids": [
6,
8,
9,
10,
12
]
}
|
[
6,
8,
9,
10,
12
] |
#=======================================================================
__version__ = '''0.0.01'''
__sub_version__ = '''20130714221105'''
__copyright__ = '''(c) Alex A. Naanou 2011'''
#-----------------------------------------------------------------------
import os
import sha
import md5
import base64
import time
import pyexiv2 as metadata
#-----------------------------------------------------------------------
# XXX need a strategy to check if two files that have the same GID are
# identical, and if so, need to destinguish them in the GID...
# might be a good idea to add a file hash
# XXX not yet sure if this is unique enough to avoid conflicts if one
# photographer has enough cameras...
# XXX also might be wise to add a photographer ID into here...
##!!! add gid info section to identify the options used to greate a gid, e.g. EXIF date vs. ctime, etc.
##!!! do a general revision and remove leacy...
def image_gid(path, date=None,
format='%(artist)s-%(date)s-%(name)s',
date_format='%Y%m%d-%H%M%S',
default_artist='Unknown',
use_ctime=False,
hash_func=lambda s: sha.sha(s).hexdigest()):
'''
Calculate image GID.
Main gid criteria:
- unique
- calculable from the item (preferably any sub-item)
- human-readable
Default format:
<artist>-<datetime>-<filename>
Example:
Alex_A.Naanou-20110627-195706-DSC_1234
If hash_func is not None, then the function will be used to generate
a hex hash from the above string.
Supported fields:
%(artist)s - Exif.Image.Artist field, stripped and spaces replaced
with underscores.
If no artist info is set this will be set to default_artist.
%(date)s - Exif.Photo.DateTimeOriginal formated to date_format argument.
%(name)s - file name.
NOTE: date and time are the date and time the image was made ('Exif.Image.DateTime')
NOTE: need EXIF data to generate a GID
'''
# get the filename...
data = {
'name': os.path.splitext(os.path.split(path)[-1])[0],
}
##!!! this might fail...
i = metadata.ImageMetadata('%s' % path)
try:
i.read()
except IOError:
# can't read exif...
i = None
# check if we need a date in the id...
if '%(date)s' in format:
if date is not None:
data['date'] = time.strftime(date_format, time.gmtime(date))
elif use_ctime or i is None:
date = os.path.getctime(path)
data['date'] = time.strftime(date_format, time.gmtime(date))
else:
date = i['Exif.Photo.DateTimeOriginal'].value
data['date'] = date.strftime(date_format)
# check if we need an artist...
if '%(artist)s' in format:
data['artist'] = default_artist
if i is not None:
try:
# set the artist if in EXIF...
a = i['Exif.Image.Artist'].value.strip().replace(' ', '_')
if a != '':
data['artist'] = a
except KeyError:
pass
if hash_func is not None:
return hash_func(format % data)
return format % data
#--------------------------------------------------handle_commandline---
def handle_commandline():
from optparse import OptionParser
parser = OptionParser()
##!!! need to define the path so that it shoes up in -h
parser.add_option('-t', '--text',
dest='format',
action='store_const',
const='text',
default='sha',
help='output GUID in base64 format.')
parser.add_option('-b', '--base64',
dest='format',
action='store_const',
const='base64',
default='sha',
help='output GUID in text format.')
parser.add_option('-s', '--sha',
dest='format',
action='store_const',
const='sha',
default='sha',
help='output GUID in sha format.')
options, args = parser.parse_args()
if len(args) != 1:
parser.print_usage()
else:
IN_PATH = args[0]
IN_PATH = IN_PATH.replace('\\', '/')
if options.format == 'text':
print image_gid(IN_PATH, hash_func=None)
elif options.format == 'base64':
# also remove the trailing \n...
print image_gid(IN_PATH, hash_func=lambda s: base64.encodestring(s).strip())
else:
print image_gid(IN_PATH)
#-----------------------------------------------------------------------
if __name__ == '__main__':
handle_commandline()
#=======================================================================
# vim:set ts=4 sw=4 nowrap :
|
normal
|
{
"blob_id": "d03f87b7dfa8fe2c63500effda1bea5e41f17ffc",
"index": 3787,
"step-1": "#=======================================================================\r\n\r\n__version__ = '''0.0.01'''\r\n__sub_version__ = '''20130714221105'''\r\n__copyright__ = '''(c) Alex A. Naanou 2011'''\r\n\r\n\r\n#-----------------------------------------------------------------------\r\n\r\nimport os\r\nimport sha\r\nimport md5\r\nimport base64\r\nimport time\r\n\r\nimport pyexiv2 as metadata\r\n\r\n\r\n#-----------------------------------------------------------------------\r\n\r\n# XXX need a strategy to check if two files that have the same GID are\r\n# \t identical, and if so, need to destinguish them in the GID...\r\n# \t might be a good idea to add a file hash\r\n# XXX not yet sure if this is unique enough to avoid conflicts if one\r\n# \t photographer has enough cameras...\r\n# XXX also might be wise to add a photographer ID into here...\r\n##!!! add gid info section to identify the options used to greate a gid, e.g. EXIF date vs. ctime, etc.\r\n##!!! do a general revision and remove leacy...\r\ndef image_gid(path, date=None, \r\n\t\tformat='%(artist)s-%(date)s-%(name)s', \r\n\t\tdate_format='%Y%m%d-%H%M%S', \r\n\t\tdefault_artist='Unknown',\r\n\t\tuse_ctime=False,\r\n\t\thash_func=lambda s: sha.sha(s).hexdigest()):\r\n\t'''\r\n\tCalculate image GID.\r\n\r\n\tMain gid criteria:\r\n\t \t- unique\r\n\t \t- calculable from the item (preferably any sub-item)\r\n\t \t- human-readable\r\n\r\n\tDefault format:\r\n\t\t<artist>-<datetime>-<filename>\r\n\r\n\tExample:\r\n\t\tAlex_A.Naanou-20110627-195706-DSC_1234\t\r\n\r\n\tIf hash_func is not None, then the function will be used to generate \r\n\ta hex hash from the above string.\r\n\r\n\tSupported fields:\r\n\t\t%(artist)s\t- Exif.Image.Artist field, stripped and spaces replaced\r\n\t\t\t\t\t with underscores.\r\n\t\t\t\t\t If no artist info is set this will be set to default_artist.\r\n\t\t%(date)s\t- Exif.Photo.DateTimeOriginal formated to date_format argument.\r\n\t\t%(name)s\t- file name.\r\n\r\n\tNOTE: date and time are the date and time the image was made ('Exif.Image.DateTime')\r\n\tNOTE: need EXIF data to generate a GID\r\n\t'''\r\n\t# get the filename...\r\n\tdata = {\r\n\t\t'name': os.path.splitext(os.path.split(path)[-1])[0],\r\n\t}\r\n\t##!!! this might fail...\r\n\ti = metadata.ImageMetadata('%s' % path)\r\n\ttry:\r\n\t\ti.read()\r\n\texcept IOError:\r\n\t\t# can't read exif...\r\n\t\ti = None\r\n\t# check if we need a date in the id...\r\n\tif '%(date)s' in format:\r\n\t\tif date is not None:\r\n\t\t\tdata['date'] = time.strftime(date_format, time.gmtime(date))\r\n\t\telif use_ctime or i is None:\r\n\t\t\tdate = os.path.getctime(path)\r\n\t\t\tdata['date'] = time.strftime(date_format, time.gmtime(date))\r\n\t\telse:\r\n\t\t\tdate = i['Exif.Photo.DateTimeOriginal'].value\r\n\t\t\tdata['date'] = date.strftime(date_format)\r\n\t# check if we need an artist...\r\n\tif '%(artist)s' in format:\r\n\t\tdata['artist'] = default_artist\r\n\t\tif i is not None:\r\n\t\t\ttry:\r\n\t\t\t\t# set the artist if in EXIF...\r\n\t\t\t\ta = i['Exif.Image.Artist'].value.strip().replace(' ', '_')\r\n\t\t\t\tif a != '':\r\n\t\t\t\t\tdata['artist'] = a\r\n\t\t\texcept KeyError:\r\n\t\t\t\tpass\r\n\t\r\n\tif hash_func is not None:\r\n\t\treturn hash_func(format % data)\r\n\treturn format % data\r\n\r\n\r\n\r\n#--------------------------------------------------handle_commandline---\r\ndef handle_commandline():\r\n\tfrom optparse import OptionParser\r\n\r\n\tparser = OptionParser()\r\n\r\n\t##!!! need to define the path so that it shoes up in -h\r\n\r\n\tparser.add_option('-t', '--text',\r\n\t\t\t\t\t\tdest='format',\r\n\t\t\t\t\t\taction='store_const',\r\n\t\t\t\t\t\tconst='text',\r\n\t\t\t\t\t\tdefault='sha',\r\n\t\t\t\t\t\thelp='output GUID in base64 format.')\r\n\tparser.add_option('-b', '--base64',\r\n\t\t\t\t\t\tdest='format',\r\n\t\t\t\t\t\taction='store_const',\r\n\t\t\t\t\t\tconst='base64',\r\n\t\t\t\t\t\tdefault='sha',\r\n\t\t\t\t\t\thelp='output GUID in text format.')\r\n\tparser.add_option('-s', '--sha',\r\n\t\t\t\t\t\tdest='format',\r\n\t\t\t\t\t\taction='store_const',\r\n\t\t\t\t\t\tconst='sha',\r\n\t\t\t\t\t\tdefault='sha',\r\n\t\t\t\t\t\thelp='output GUID in sha format.')\r\n\r\n\toptions, args = parser.parse_args()\r\n\r\n\tif len(args) != 1:\r\n\t\tparser.print_usage()\r\n\telse:\r\n\t\tIN_PATH = args[0]\r\n\t\tIN_PATH = IN_PATH.replace('\\\\', '/')\r\n\r\n\t\tif options.format == 'text':\r\n\t\t\tprint image_gid(IN_PATH, hash_func=None)\r\n\t\telif options.format == 'base64':\r\n\t\t\t# also remove the trailing \\n...\r\n\t\t\tprint image_gid(IN_PATH, hash_func=lambda s: base64.encodestring(s).strip())\r\n\t\telse:\r\n\t\t\tprint image_gid(IN_PATH)\r\n\r\n\r\n#-----------------------------------------------------------------------\r\nif __name__ == '__main__':\r\n\thandle_commandline()\r\n\r\n\r\n\r\n#=======================================================================\r\n# vim:set ts=4 sw=4 nowrap :\r\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
}
|
[
0
] |
import rdflib
import csv
from time import sleep
gtypes = {}
dtypes = {}
atypes = {}
g = rdflib.Graph()
g.parse("http://geographicknowledge.de/vocab/CoreConceptData.rdf#")
g.parse("./ontology.ttl", format="ttl")
sleep(.5)
results = g.query("""
prefix skos: <http://www.w3.org/2004/02/skos/core#>
prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>
prefix dcat: <https://www.w3.org/TR/vocab-dcat#>
prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>
select ?dataset ?type
where {
?dataset a dcat:Dataset , ?type .
filter (
?type in ( ccd:PointDataSet, ccd:RegionDataSet, ccd:VectorTessellation, ccd:LineDataSet )
)
}
""")
for result in results:
uri, geometry_type = result
gtypes[str(uri)] = str(geometry_type).split('#')[1]
results = g.query("""
prefix skos: <http://www.w3.org/2004/02/skos/core#>
prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>
prefix dcat: <https://www.w3.org/TR/vocab-dcat#>
prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>
select ?dataset ?type
where {
?dataset a dcat:Dataset , ?type .
?type rdfs:subClassOf+ ccd:CoreConceptDataSet .
}
""")
for result in results:
uri, dtype = result
dtypes[str(uri)] = str(dtype).split('#')[1]
results = g.query("""
prefix skos: <http://www.w3.org/2004/02/skos/core#>
prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>
prefix ada: <http://geographicknowledge.de/vocab/AnalysisData.rdf>
prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>
select ?dataset ?label ?type
where {
?attribute ada:ofDataSet ?dataset ;
skos:exactMatch ?concept ;
rdfs:label ?label .
optional {
?concept a ?type .
?type rdfs:subClassOf+ ccd:Attribute .
}
}
group by ?dataset ?label ?type
""")
for result in results:
dataset, label, atype = result
key = (str(dataset), str(label))
if atype is None and key not in atypes:
atypes[key] = ""
elif atype is not None:
atypes[key] = str(atype).split('#')[1]
test_gtypes = {}
test_dtypes = {}
test_atypes = {}
with open("./datasets/annotations_datasets.csv", 'r') as fin:
reader = csv.reader(fin)
next(reader)
for row in reader:
test_gtypes[row[0]] = row[1]
test_dtypes[row[0]] = row[2]
with open("./datasets/annotations_attributes.csv", 'r') as fin:
reader = csv.reader(fin)
next(reader)
for row in reader:
test_atypes[(row[0],row[1])] = row[2]
tp = 0
total = 0
fn = len(test_gtypes)
for k, v in gtypes.items():
if k not in test_gtypes: # skip some extra test datasets
continue
total += 1
if test_gtypes[k] == v:
tp += 1
fn -= 1
p = tp / total
r = tp / (tp + fn)
f = 2 * ((p * r) / (p + r))
print("Geometry type scores:")
print(f"P: {p} , R: {r} , F: {f}")
tp = 0
total = 0
fn = len(test_dtypes)
for k, v in dtypes.items():
if k not in test_dtypes:
continue
total += 1
if test_dtypes[k] == v:
tp += 1
fn -= 1
p = tp / total
r = tp / (tp + fn)
f = 2 * ((p * r) / (p + r))
print("Dataset type scores:")
print(f"P: {p} , R: {r} , F: {f}")
filter_nontypes = True
if filter_nontypes:
test_atypes = {k: v for k, v in test_atypes.items() if v != ""}
atypes = {k: v for k, v in atypes.items() if v != ""}
tp = 0
total = 0
fn = len(list(filter(lambda x: x != "", test_atypes.values())))
for k, v in atypes.items():
if k not in test_atypes:
continue
if v != "":
total += 1
if test_atypes[k] == v:
tp += 1
fn -= 1
elif v == "BooleanA" and test_atypes[k] == "NominalA": # boolean is "more" correct
tp += 1
fn -= 1
else:
print(k, v, test_atypes[k])
p = tp / total
r = tp / (tp + fn)
f = 2 * ((p * r) / (p + r))
print("Attribute type scores:")
print(f"P: {p} , R: {r} , F: {f}")
|
normal
|
{
"blob_id": "eb1fbe2de3c8548175eb3c8720353e466e3b68c7",
"index": 7336,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ng.parse('http://geographicknowledge.de/vocab/CoreConceptData.rdf#')\ng.parse('./ontology.ttl', format='ttl')\nsleep(0.5)\n<mask token>\nfor result in results:\n uri, geometry_type = result\n gtypes[str(uri)] = str(geometry_type).split('#')[1]\n<mask token>\nfor result in results:\n uri, dtype = result\n dtypes[str(uri)] = str(dtype).split('#')[1]\n<mask token>\nfor result in results:\n dataset, label, atype = result\n key = str(dataset), str(label)\n if atype is None and key not in atypes:\n atypes[key] = ''\n elif atype is not None:\n atypes[key] = str(atype).split('#')[1]\n<mask token>\nwith open('./datasets/annotations_datasets.csv', 'r') as fin:\n reader = csv.reader(fin)\n next(reader)\n for row in reader:\n test_gtypes[row[0]] = row[1]\n test_dtypes[row[0]] = row[2]\nwith open('./datasets/annotations_attributes.csv', 'r') as fin:\n reader = csv.reader(fin)\n next(reader)\n for row in reader:\n test_atypes[row[0], row[1]] = row[2]\n<mask token>\nfor k, v in gtypes.items():\n if k not in test_gtypes:\n continue\n total += 1\n if test_gtypes[k] == v:\n tp += 1\n fn -= 1\n<mask token>\nprint('Geometry type scores:')\nprint(f'P: {p} , R: {r} , F: {f}')\n<mask token>\nfor k, v in dtypes.items():\n if k not in test_dtypes:\n continue\n total += 1\n if test_dtypes[k] == v:\n tp += 1\n fn -= 1\n<mask token>\nprint('Dataset type scores:')\nprint(f'P: {p} , R: {r} , F: {f}')\n<mask token>\nif filter_nontypes:\n test_atypes = {k: v for k, v in test_atypes.items() if v != ''}\n atypes = {k: v for k, v in atypes.items() if v != ''}\n<mask token>\nfor k, v in atypes.items():\n if k not in test_atypes:\n continue\n if v != '':\n total += 1\n if test_atypes[k] == v:\n tp += 1\n fn -= 1\n elif v == 'BooleanA' and test_atypes[k] == 'NominalA':\n tp += 1\n fn -= 1\n else:\n print(k, v, test_atypes[k])\n<mask token>\nprint('Attribute type scores:')\nprint(f'P: {p} , R: {r} , F: {f}')\n",
"step-3": "<mask token>\ngtypes = {}\ndtypes = {}\natypes = {}\ng = rdflib.Graph()\ng.parse('http://geographicknowledge.de/vocab/CoreConceptData.rdf#')\ng.parse('./ontology.ttl', format='ttl')\nsleep(0.5)\nresults = g.query(\n \"\"\"\n prefix skos: <http://www.w3.org/2004/02/skos/core#>\n prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>\n prefix dcat: <https://www.w3.org/TR/vocab-dcat#>\n prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\n select ?dataset ?type\n where {\n ?dataset a dcat:Dataset , ?type .\n\n filter (\n ?type in ( ccd:PointDataSet, ccd:RegionDataSet, ccd:VectorTessellation, ccd:LineDataSet )\n )\n }\n\"\"\"\n )\nfor result in results:\n uri, geometry_type = result\n gtypes[str(uri)] = str(geometry_type).split('#')[1]\nresults = g.query(\n \"\"\"\n prefix skos: <http://www.w3.org/2004/02/skos/core#>\n prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>\n prefix dcat: <https://www.w3.org/TR/vocab-dcat#>\n prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\n select ?dataset ?type\n where {\n ?dataset a dcat:Dataset , ?type .\n ?type rdfs:subClassOf+ ccd:CoreConceptDataSet .\n }\n\"\"\"\n )\nfor result in results:\n uri, dtype = result\n dtypes[str(uri)] = str(dtype).split('#')[1]\nresults = g.query(\n \"\"\"\n prefix skos: <http://www.w3.org/2004/02/skos/core#>\n prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>\n prefix ada: <http://geographicknowledge.de/vocab/AnalysisData.rdf>\n prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\n select ?dataset ?label ?type\n where {\n ?attribute ada:ofDataSet ?dataset ;\n skos:exactMatch ?concept ;\n rdfs:label ?label .\n\n optional {\n ?concept a ?type .\n ?type rdfs:subClassOf+ ccd:Attribute .\n }\n }\n group by ?dataset ?label ?type\n\"\"\"\n )\nfor result in results:\n dataset, label, atype = result\n key = str(dataset), str(label)\n if atype is None and key not in atypes:\n atypes[key] = ''\n elif atype is not None:\n atypes[key] = str(atype).split('#')[1]\ntest_gtypes = {}\ntest_dtypes = {}\ntest_atypes = {}\nwith open('./datasets/annotations_datasets.csv', 'r') as fin:\n reader = csv.reader(fin)\n next(reader)\n for row in reader:\n test_gtypes[row[0]] = row[1]\n test_dtypes[row[0]] = row[2]\nwith open('./datasets/annotations_attributes.csv', 'r') as fin:\n reader = csv.reader(fin)\n next(reader)\n for row in reader:\n test_atypes[row[0], row[1]] = row[2]\ntp = 0\ntotal = 0\nfn = len(test_gtypes)\nfor k, v in gtypes.items():\n if k not in test_gtypes:\n continue\n total += 1\n if test_gtypes[k] == v:\n tp += 1\n fn -= 1\np = tp / total\nr = tp / (tp + fn)\nf = 2 * (p * r / (p + r))\nprint('Geometry type scores:')\nprint(f'P: {p} , R: {r} , F: {f}')\ntp = 0\ntotal = 0\nfn = len(test_dtypes)\nfor k, v in dtypes.items():\n if k not in test_dtypes:\n continue\n total += 1\n if test_dtypes[k] == v:\n tp += 1\n fn -= 1\np = tp / total\nr = tp / (tp + fn)\nf = 2 * (p * r / (p + r))\nprint('Dataset type scores:')\nprint(f'P: {p} , R: {r} , F: {f}')\nfilter_nontypes = True\nif filter_nontypes:\n test_atypes = {k: v for k, v in test_atypes.items() if v != ''}\n atypes = {k: v for k, v in atypes.items() if v != ''}\ntp = 0\ntotal = 0\nfn = len(list(filter(lambda x: x != '', test_atypes.values())))\nfor k, v in atypes.items():\n if k not in test_atypes:\n continue\n if v != '':\n total += 1\n if test_atypes[k] == v:\n tp += 1\n fn -= 1\n elif v == 'BooleanA' and test_atypes[k] == 'NominalA':\n tp += 1\n fn -= 1\n else:\n print(k, v, test_atypes[k])\np = tp / total\nr = tp / (tp + fn)\nf = 2 * (p * r / (p + r))\nprint('Attribute type scores:')\nprint(f'P: {p} , R: {r} , F: {f}')\n",
"step-4": "import rdflib\nimport csv\nfrom time import sleep\ngtypes = {}\ndtypes = {}\natypes = {}\ng = rdflib.Graph()\ng.parse('http://geographicknowledge.de/vocab/CoreConceptData.rdf#')\ng.parse('./ontology.ttl', format='ttl')\nsleep(0.5)\nresults = g.query(\n \"\"\"\n prefix skos: <http://www.w3.org/2004/02/skos/core#>\n prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>\n prefix dcat: <https://www.w3.org/TR/vocab-dcat#>\n prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\n select ?dataset ?type\n where {\n ?dataset a dcat:Dataset , ?type .\n\n filter (\n ?type in ( ccd:PointDataSet, ccd:RegionDataSet, ccd:VectorTessellation, ccd:LineDataSet )\n )\n }\n\"\"\"\n )\nfor result in results:\n uri, geometry_type = result\n gtypes[str(uri)] = str(geometry_type).split('#')[1]\nresults = g.query(\n \"\"\"\n prefix skos: <http://www.w3.org/2004/02/skos/core#>\n prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>\n prefix dcat: <https://www.w3.org/TR/vocab-dcat#>\n prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\n select ?dataset ?type\n where {\n ?dataset a dcat:Dataset , ?type .\n ?type rdfs:subClassOf+ ccd:CoreConceptDataSet .\n }\n\"\"\"\n )\nfor result in results:\n uri, dtype = result\n dtypes[str(uri)] = str(dtype).split('#')[1]\nresults = g.query(\n \"\"\"\n prefix skos: <http://www.w3.org/2004/02/skos/core#>\n prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>\n prefix ada: <http://geographicknowledge.de/vocab/AnalysisData.rdf>\n prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\n select ?dataset ?label ?type\n where {\n ?attribute ada:ofDataSet ?dataset ;\n skos:exactMatch ?concept ;\n rdfs:label ?label .\n\n optional {\n ?concept a ?type .\n ?type rdfs:subClassOf+ ccd:Attribute .\n }\n }\n group by ?dataset ?label ?type\n\"\"\"\n )\nfor result in results:\n dataset, label, atype = result\n key = str(dataset), str(label)\n if atype is None and key not in atypes:\n atypes[key] = ''\n elif atype is not None:\n atypes[key] = str(atype).split('#')[1]\ntest_gtypes = {}\ntest_dtypes = {}\ntest_atypes = {}\nwith open('./datasets/annotations_datasets.csv', 'r') as fin:\n reader = csv.reader(fin)\n next(reader)\n for row in reader:\n test_gtypes[row[0]] = row[1]\n test_dtypes[row[0]] = row[2]\nwith open('./datasets/annotations_attributes.csv', 'r') as fin:\n reader = csv.reader(fin)\n next(reader)\n for row in reader:\n test_atypes[row[0], row[1]] = row[2]\ntp = 0\ntotal = 0\nfn = len(test_gtypes)\nfor k, v in gtypes.items():\n if k not in test_gtypes:\n continue\n total += 1\n if test_gtypes[k] == v:\n tp += 1\n fn -= 1\np = tp / total\nr = tp / (tp + fn)\nf = 2 * (p * r / (p + r))\nprint('Geometry type scores:')\nprint(f'P: {p} , R: {r} , F: {f}')\ntp = 0\ntotal = 0\nfn = len(test_dtypes)\nfor k, v in dtypes.items():\n if k not in test_dtypes:\n continue\n total += 1\n if test_dtypes[k] == v:\n tp += 1\n fn -= 1\np = tp / total\nr = tp / (tp + fn)\nf = 2 * (p * r / (p + r))\nprint('Dataset type scores:')\nprint(f'P: {p} , R: {r} , F: {f}')\nfilter_nontypes = True\nif filter_nontypes:\n test_atypes = {k: v for k, v in test_atypes.items() if v != ''}\n atypes = {k: v for k, v in atypes.items() if v != ''}\ntp = 0\ntotal = 0\nfn = len(list(filter(lambda x: x != '', test_atypes.values())))\nfor k, v in atypes.items():\n if k not in test_atypes:\n continue\n if v != '':\n total += 1\n if test_atypes[k] == v:\n tp += 1\n fn -= 1\n elif v == 'BooleanA' and test_atypes[k] == 'NominalA':\n tp += 1\n fn -= 1\n else:\n print(k, v, test_atypes[k])\np = tp / total\nr = tp / (tp + fn)\nf = 2 * (p * r / (p + r))\nprint('Attribute type scores:')\nprint(f'P: {p} , R: {r} , F: {f}')\n",
"step-5": "import rdflib\nimport csv\n\nfrom time import sleep\n\ngtypes = {}\ndtypes = {}\natypes = {}\n\ng = rdflib.Graph()\ng.parse(\"http://geographicknowledge.de/vocab/CoreConceptData.rdf#\")\ng.parse(\"./ontology.ttl\", format=\"ttl\")\n\nsleep(.5)\n\nresults = g.query(\"\"\"\n prefix skos: <http://www.w3.org/2004/02/skos/core#>\n prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>\n prefix dcat: <https://www.w3.org/TR/vocab-dcat#>\n prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\n select ?dataset ?type\n where {\n ?dataset a dcat:Dataset , ?type .\n\n filter (\n ?type in ( ccd:PointDataSet, ccd:RegionDataSet, ccd:VectorTessellation, ccd:LineDataSet )\n )\n }\n\"\"\")\n\nfor result in results:\n uri, geometry_type = result\n gtypes[str(uri)] = str(geometry_type).split('#')[1]\n\nresults = g.query(\"\"\"\n prefix skos: <http://www.w3.org/2004/02/skos/core#>\n prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>\n prefix dcat: <https://www.w3.org/TR/vocab-dcat#>\n prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\n select ?dataset ?type\n where {\n ?dataset a dcat:Dataset , ?type .\n ?type rdfs:subClassOf+ ccd:CoreConceptDataSet .\n }\n\"\"\")\n\nfor result in results:\n uri, dtype = result\n dtypes[str(uri)] = str(dtype).split('#')[1]\n\n\nresults = g.query(\"\"\"\n prefix skos: <http://www.w3.org/2004/02/skos/core#>\n prefix ccd: <http://geographicknowledge.de/vocab/CoreConceptData.rdf#>\n prefix ada: <http://geographicknowledge.de/vocab/AnalysisData.rdf>\n prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n\n select ?dataset ?label ?type\n where {\n ?attribute ada:ofDataSet ?dataset ;\n skos:exactMatch ?concept ;\n rdfs:label ?label .\n\n optional {\n ?concept a ?type .\n ?type rdfs:subClassOf+ ccd:Attribute .\n }\n }\n group by ?dataset ?label ?type\n\"\"\")\n\nfor result in results:\n dataset, label, atype = result\n key = (str(dataset), str(label))\n if atype is None and key not in atypes:\n atypes[key] = \"\"\n elif atype is not None:\n atypes[key] = str(atype).split('#')[1]\n\n\ntest_gtypes = {}\ntest_dtypes = {}\ntest_atypes = {}\n\nwith open(\"./datasets/annotations_datasets.csv\", 'r') as fin:\n reader = csv.reader(fin)\n next(reader)\n for row in reader:\n test_gtypes[row[0]] = row[1]\n test_dtypes[row[0]] = row[2]\n\nwith open(\"./datasets/annotations_attributes.csv\", 'r') as fin:\n reader = csv.reader(fin)\n next(reader)\n for row in reader:\n test_atypes[(row[0],row[1])] = row[2]\n\ntp = 0\ntotal = 0\nfn = len(test_gtypes)\nfor k, v in gtypes.items():\n if k not in test_gtypes: # skip some extra test datasets\n continue\n total += 1\n\n if test_gtypes[k] == v:\n tp += 1\n fn -= 1\n\np = tp / total\nr = tp / (tp + fn)\nf = 2 * ((p * r) / (p + r))\n\nprint(\"Geometry type scores:\")\nprint(f\"P: {p} , R: {r} , F: {f}\")\n\n\ntp = 0\ntotal = 0\nfn = len(test_dtypes)\nfor k, v in dtypes.items():\n if k not in test_dtypes:\n continue\n total += 1\n\n if test_dtypes[k] == v:\n tp += 1\n fn -= 1\n\np = tp / total\nr = tp / (tp + fn)\nf = 2 * ((p * r) / (p + r))\n\nprint(\"Dataset type scores:\")\nprint(f\"P: {p} , R: {r} , F: {f}\")\n\n\nfilter_nontypes = True\nif filter_nontypes:\n test_atypes = {k: v for k, v in test_atypes.items() if v != \"\"}\n atypes = {k: v for k, v in atypes.items() if v != \"\"}\n\ntp = 0\ntotal = 0\nfn = len(list(filter(lambda x: x != \"\", test_atypes.values())))\nfor k, v in atypes.items():\n if k not in test_atypes:\n continue\n\n if v != \"\":\n total += 1\n\n if test_atypes[k] == v:\n tp += 1\n fn -= 1\n elif v == \"BooleanA\" and test_atypes[k] == \"NominalA\": # boolean is \"more\" correct\n tp += 1\n fn -= 1\n else:\n print(k, v, test_atypes[k])\n\np = tp / total\nr = tp / (tp + fn)\nf = 2 * ((p * r) / (p + r))\n\nprint(\"Attribute type scores:\")\nprint(f\"P: {p} , R: {r} , F: {f}\")\n\n\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
__path__.append(
'/cvmfs/cms.cern.ch/slc6_amd64_gcc481/cms/cmssw-patch/CMSSW_7_0_6_patch3/python/ggAnalysis'
)
|
normal
|
{
"blob_id": "0345c3c2049c972370cd7bde5a6e0a1dfa5dfe66",
"index": 3719,
"step-1": "<mask token>\n",
"step-2": "__path__.append(\n '/cvmfs/cms.cern.ch/slc6_amd64_gcc481/cms/cmssw-patch/CMSSW_7_0_6_patch3/python/ggAnalysis'\n )\n",
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0,
1
]
}
|
[
0,
1
] |
import logging
import os
import time
from datetime import datetime
from pathlib import Path
from configargparse import ArgumentParser
from cryptography import x509
from cryptography.hazmat.backends import default_backend
from cryptography.x509.oid import ExtensionOID
from cryptography.x509.extensions import ExtensionNotFound
from prettylog import basic_config
from prometheus_client import start_http_server
from prometheus_client.core import GaugeMetricFamily, REGISTRY
parser = ArgumentParser(
default_config_files=[os.path.join("/etc/ssl-exporter.conf")],
auto_env_var_prefix="APP_",
)
parser.add_argument("--host-address", type=str, default="0.0.0.0")
parser.add_argument("--port", type=int, default="9001")
parser.add_argument("--cert-paths", nargs="+", type=Path)
parser.add_argument("--log-level", type=str, default="INFO")
parser.add_argument("--log-format", type=str, default="color")
arguments = parser.parse_args()
log = logging.getLogger()
class SslExporter(object):
gauges = {}
def __init__(self, cert_paths):
self.cert_paths = cert_paths
def collect(self):
self.gauges["ssl_valid_days"] = GaugeMetricFamily(
"ssl_valid_days",
"Ssl cert valid days",
value=None,
labels=["domain", "file_name", "serial_number"],
)
for path in self.cert_paths:
if not path.exists():
log.error("File %r does not exists", path)
exit(1)
self.get_metrics(path)
for name, data in self.gauges.items():
yield data
def get_metrics(self, path: Path):
with path.open("rb") as f:
try:
cert = x509.load_pem_x509_certificate(
f.read(), default_backend()
)
except ValueError:
log.exception("Cannot read certificate - %r", path)
return []
file_name = path.name
log.debug("File name of cert - %r", file_name)
not_valid_after = cert.not_valid_after
log.debug("Ssl not valid after date - %r", str(not_valid_after))
left = not_valid_after - datetime.utcnow()
log.debug("Ssl cert valid days - %r", left.days)
log.debug("Ssl cert serial number - %r", cert.serial_number)
try:
ext = cert.extensions.get_extension_for_oid(
ExtensionOID.SUBJECT_ALTERNATIVE_NAME
)
dns_names_list = ext.value.get_values_for_type(x509.DNSName)
except ExtensionNotFound:
dns_names_list = ["noname"]
log.debug("DNS names of cert - %r", dns_names_list)
for domain in dns_names_list:
self.gauges["ssl_valid_days"].add_metric(
[domain, file_name, str(cert.serial_number)], int(left.days)
)
def main():
basic_config(
level=arguments.log_level.upper(),
buffered=False,
log_format=arguments.log_format,
)
start_http_server(addr=arguments.host_address, port=arguments.port)
collector = SslExporter(arguments.cert_paths)
REGISTRY.register(collector)
while True:
time.sleep(1)
if __name__ == "__main__":
main()
|
normal
|
{
"blob_id": "83be35b79dcaa34f9273281976ebb71e81c58cdd",
"index": 8673,
"step-1": "<mask token>\n\n\nclass SslExporter(object):\n gauges = {}\n\n def __init__(self, cert_paths):\n self.cert_paths = cert_paths\n\n def collect(self):\n self.gauges['ssl_valid_days'] = GaugeMetricFamily('ssl_valid_days',\n 'Ssl cert valid days', value=None, labels=['domain',\n 'file_name', 'serial_number'])\n for path in self.cert_paths:\n if not path.exists():\n log.error('File %r does not exists', path)\n exit(1)\n self.get_metrics(path)\n for name, data in self.gauges.items():\n yield data\n\n def get_metrics(self, path: Path):\n with path.open('rb') as f:\n try:\n cert = x509.load_pem_x509_certificate(f.read(),\n default_backend())\n except ValueError:\n log.exception('Cannot read certificate - %r', path)\n return []\n file_name = path.name\n log.debug('File name of cert - %r', file_name)\n not_valid_after = cert.not_valid_after\n log.debug('Ssl not valid after date - %r', str(not_valid_after))\n left = not_valid_after - datetime.utcnow()\n log.debug('Ssl cert valid days - %r', left.days)\n log.debug('Ssl cert serial number - %r', cert.serial_number)\n try:\n ext = cert.extensions.get_extension_for_oid(ExtensionOID.\n SUBJECT_ALTERNATIVE_NAME)\n dns_names_list = ext.value.get_values_for_type(x509.DNSName)\n except ExtensionNotFound:\n dns_names_list = ['noname']\n log.debug('DNS names of cert - %r', dns_names_list)\n for domain in dns_names_list:\n self.gauges['ssl_valid_days'].add_metric([domain, file_name,\n str(cert.serial_number)], int(left.days))\n\n\ndef main():\n basic_config(level=arguments.log_level.upper(), buffered=False,\n log_format=arguments.log_format)\n start_http_server(addr=arguments.host_address, port=arguments.port)\n collector = SslExporter(arguments.cert_paths)\n REGISTRY.register(collector)\n while True:\n time.sleep(1)\n\n\n<mask token>\n",
"step-2": "<mask token>\nparser.add_argument('--host-address', type=str, default='0.0.0.0')\nparser.add_argument('--port', type=int, default='9001')\nparser.add_argument('--cert-paths', nargs='+', type=Path)\nparser.add_argument('--log-level', type=str, default='INFO')\nparser.add_argument('--log-format', type=str, default='color')\n<mask token>\n\n\nclass SslExporter(object):\n gauges = {}\n\n def __init__(self, cert_paths):\n self.cert_paths = cert_paths\n\n def collect(self):\n self.gauges['ssl_valid_days'] = GaugeMetricFamily('ssl_valid_days',\n 'Ssl cert valid days', value=None, labels=['domain',\n 'file_name', 'serial_number'])\n for path in self.cert_paths:\n if not path.exists():\n log.error('File %r does not exists', path)\n exit(1)\n self.get_metrics(path)\n for name, data in self.gauges.items():\n yield data\n\n def get_metrics(self, path: Path):\n with path.open('rb') as f:\n try:\n cert = x509.load_pem_x509_certificate(f.read(),\n default_backend())\n except ValueError:\n log.exception('Cannot read certificate - %r', path)\n return []\n file_name = path.name\n log.debug('File name of cert - %r', file_name)\n not_valid_after = cert.not_valid_after\n log.debug('Ssl not valid after date - %r', str(not_valid_after))\n left = not_valid_after - datetime.utcnow()\n log.debug('Ssl cert valid days - %r', left.days)\n log.debug('Ssl cert serial number - %r', cert.serial_number)\n try:\n ext = cert.extensions.get_extension_for_oid(ExtensionOID.\n SUBJECT_ALTERNATIVE_NAME)\n dns_names_list = ext.value.get_values_for_type(x509.DNSName)\n except ExtensionNotFound:\n dns_names_list = ['noname']\n log.debug('DNS names of cert - %r', dns_names_list)\n for domain in dns_names_list:\n self.gauges['ssl_valid_days'].add_metric([domain, file_name,\n str(cert.serial_number)], int(left.days))\n\n\ndef main():\n basic_config(level=arguments.log_level.upper(), buffered=False,\n log_format=arguments.log_format)\n start_http_server(addr=arguments.host_address, port=arguments.port)\n collector = SslExporter(arguments.cert_paths)\n REGISTRY.register(collector)\n while True:\n time.sleep(1)\n\n\nif __name__ == '__main__':\n main()\n",
"step-3": "<mask token>\nparser = ArgumentParser(default_config_files=[os.path.join(\n '/etc/ssl-exporter.conf')], auto_env_var_prefix='APP_')\nparser.add_argument('--host-address', type=str, default='0.0.0.0')\nparser.add_argument('--port', type=int, default='9001')\nparser.add_argument('--cert-paths', nargs='+', type=Path)\nparser.add_argument('--log-level', type=str, default='INFO')\nparser.add_argument('--log-format', type=str, default='color')\narguments = parser.parse_args()\nlog = logging.getLogger()\n\n\nclass SslExporter(object):\n gauges = {}\n\n def __init__(self, cert_paths):\n self.cert_paths = cert_paths\n\n def collect(self):\n self.gauges['ssl_valid_days'] = GaugeMetricFamily('ssl_valid_days',\n 'Ssl cert valid days', value=None, labels=['domain',\n 'file_name', 'serial_number'])\n for path in self.cert_paths:\n if not path.exists():\n log.error('File %r does not exists', path)\n exit(1)\n self.get_metrics(path)\n for name, data in self.gauges.items():\n yield data\n\n def get_metrics(self, path: Path):\n with path.open('rb') as f:\n try:\n cert = x509.load_pem_x509_certificate(f.read(),\n default_backend())\n except ValueError:\n log.exception('Cannot read certificate - %r', path)\n return []\n file_name = path.name\n log.debug('File name of cert - %r', file_name)\n not_valid_after = cert.not_valid_after\n log.debug('Ssl not valid after date - %r', str(not_valid_after))\n left = not_valid_after - datetime.utcnow()\n log.debug('Ssl cert valid days - %r', left.days)\n log.debug('Ssl cert serial number - %r', cert.serial_number)\n try:\n ext = cert.extensions.get_extension_for_oid(ExtensionOID.\n SUBJECT_ALTERNATIVE_NAME)\n dns_names_list = ext.value.get_values_for_type(x509.DNSName)\n except ExtensionNotFound:\n dns_names_list = ['noname']\n log.debug('DNS names of cert - %r', dns_names_list)\n for domain in dns_names_list:\n self.gauges['ssl_valid_days'].add_metric([domain, file_name,\n str(cert.serial_number)], int(left.days))\n\n\ndef main():\n basic_config(level=arguments.log_level.upper(), buffered=False,\n log_format=arguments.log_format)\n start_http_server(addr=arguments.host_address, port=arguments.port)\n collector = SslExporter(arguments.cert_paths)\n REGISTRY.register(collector)\n while True:\n time.sleep(1)\n\n\nif __name__ == '__main__':\n main()\n",
"step-4": "import logging\nimport os\nimport time\nfrom datetime import datetime\nfrom pathlib import Path\nfrom configargparse import ArgumentParser\nfrom cryptography import x509\nfrom cryptography.hazmat.backends import default_backend\nfrom cryptography.x509.oid import ExtensionOID\nfrom cryptography.x509.extensions import ExtensionNotFound\nfrom prettylog import basic_config\nfrom prometheus_client import start_http_server\nfrom prometheus_client.core import GaugeMetricFamily, REGISTRY\nparser = ArgumentParser(default_config_files=[os.path.join(\n '/etc/ssl-exporter.conf')], auto_env_var_prefix='APP_')\nparser.add_argument('--host-address', type=str, default='0.0.0.0')\nparser.add_argument('--port', type=int, default='9001')\nparser.add_argument('--cert-paths', nargs='+', type=Path)\nparser.add_argument('--log-level', type=str, default='INFO')\nparser.add_argument('--log-format', type=str, default='color')\narguments = parser.parse_args()\nlog = logging.getLogger()\n\n\nclass SslExporter(object):\n gauges = {}\n\n def __init__(self, cert_paths):\n self.cert_paths = cert_paths\n\n def collect(self):\n self.gauges['ssl_valid_days'] = GaugeMetricFamily('ssl_valid_days',\n 'Ssl cert valid days', value=None, labels=['domain',\n 'file_name', 'serial_number'])\n for path in self.cert_paths:\n if not path.exists():\n log.error('File %r does not exists', path)\n exit(1)\n self.get_metrics(path)\n for name, data in self.gauges.items():\n yield data\n\n def get_metrics(self, path: Path):\n with path.open('rb') as f:\n try:\n cert = x509.load_pem_x509_certificate(f.read(),\n default_backend())\n except ValueError:\n log.exception('Cannot read certificate - %r', path)\n return []\n file_name = path.name\n log.debug('File name of cert - %r', file_name)\n not_valid_after = cert.not_valid_after\n log.debug('Ssl not valid after date - %r', str(not_valid_after))\n left = not_valid_after - datetime.utcnow()\n log.debug('Ssl cert valid days - %r', left.days)\n log.debug('Ssl cert serial number - %r', cert.serial_number)\n try:\n ext = cert.extensions.get_extension_for_oid(ExtensionOID.\n SUBJECT_ALTERNATIVE_NAME)\n dns_names_list = ext.value.get_values_for_type(x509.DNSName)\n except ExtensionNotFound:\n dns_names_list = ['noname']\n log.debug('DNS names of cert - %r', dns_names_list)\n for domain in dns_names_list:\n self.gauges['ssl_valid_days'].add_metric([domain, file_name,\n str(cert.serial_number)], int(left.days))\n\n\ndef main():\n basic_config(level=arguments.log_level.upper(), buffered=False,\n log_format=arguments.log_format)\n start_http_server(addr=arguments.host_address, port=arguments.port)\n collector = SslExporter(arguments.cert_paths)\n REGISTRY.register(collector)\n while True:\n time.sleep(1)\n\n\nif __name__ == '__main__':\n main()\n",
"step-5": "import logging\nimport os\nimport time\nfrom datetime import datetime\nfrom pathlib import Path\n\nfrom configargparse import ArgumentParser\nfrom cryptography import x509\nfrom cryptography.hazmat.backends import default_backend\nfrom cryptography.x509.oid import ExtensionOID\nfrom cryptography.x509.extensions import ExtensionNotFound\nfrom prettylog import basic_config\nfrom prometheus_client import start_http_server\nfrom prometheus_client.core import GaugeMetricFamily, REGISTRY\n\nparser = ArgumentParser(\n default_config_files=[os.path.join(\"/etc/ssl-exporter.conf\")],\n auto_env_var_prefix=\"APP_\",\n)\n\nparser.add_argument(\"--host-address\", type=str, default=\"0.0.0.0\")\nparser.add_argument(\"--port\", type=int, default=\"9001\")\nparser.add_argument(\"--cert-paths\", nargs=\"+\", type=Path)\nparser.add_argument(\"--log-level\", type=str, default=\"INFO\")\nparser.add_argument(\"--log-format\", type=str, default=\"color\")\n\narguments = parser.parse_args()\n\nlog = logging.getLogger()\n\n\nclass SslExporter(object):\n gauges = {}\n\n def __init__(self, cert_paths):\n self.cert_paths = cert_paths\n\n def collect(self):\n\n self.gauges[\"ssl_valid_days\"] = GaugeMetricFamily(\n \"ssl_valid_days\",\n \"Ssl cert valid days\",\n value=None,\n labels=[\"domain\", \"file_name\", \"serial_number\"],\n )\n\n for path in self.cert_paths:\n if not path.exists():\n log.error(\"File %r does not exists\", path)\n exit(1)\n self.get_metrics(path)\n\n for name, data in self.gauges.items():\n yield data\n\n def get_metrics(self, path: Path):\n with path.open(\"rb\") as f:\n try:\n cert = x509.load_pem_x509_certificate(\n f.read(), default_backend()\n )\n except ValueError:\n log.exception(\"Cannot read certificate - %r\", path)\n return []\n file_name = path.name\n log.debug(\"File name of cert - %r\", file_name)\n\n not_valid_after = cert.not_valid_after\n log.debug(\"Ssl not valid after date - %r\", str(not_valid_after))\n\n left = not_valid_after - datetime.utcnow()\n log.debug(\"Ssl cert valid days - %r\", left.days)\n\n log.debug(\"Ssl cert serial number - %r\", cert.serial_number)\n\n try:\n ext = cert.extensions.get_extension_for_oid(\n ExtensionOID.SUBJECT_ALTERNATIVE_NAME\n )\n dns_names_list = ext.value.get_values_for_type(x509.DNSName)\n except ExtensionNotFound:\n dns_names_list = [\"noname\"]\n\n log.debug(\"DNS names of cert - %r\", dns_names_list)\n\n for domain in dns_names_list:\n self.gauges[\"ssl_valid_days\"].add_metric(\n [domain, file_name, str(cert.serial_number)], int(left.days)\n )\n\n\ndef main():\n basic_config(\n level=arguments.log_level.upper(),\n buffered=False,\n log_format=arguments.log_format,\n )\n\n start_http_server(addr=arguments.host_address, port=arguments.port)\n collector = SslExporter(arguments.cert_paths)\n REGISTRY.register(collector)\n while True:\n time.sleep(1)\n\n\nif __name__ == \"__main__\":\n main()\n",
"step-ids": [
6,
7,
8,
9,
10
]
}
|
[
6,
7,
8,
9,
10
] |
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
public class Main {
public static void findSubNode(Node root) {
}
public static void main(String args[]) throws IOException {
BufferedReader br = new BufferedReader(new InputStreamReader(System.in));
String[] strings = br.readLine().split(" ");
int n = Integer.parseInt(strings[0]);
int root = Integer.parseInt(strings[1]);
Node head1 = new Node(root);
int[][] arr1 = new int[100 + 1][2];
for (int i = 0; i < n; i++) {
strings = br.readLine().split(" ");
arr1[Integer.parseInt(strings[0])][0] = Integer.parseInt(strings[1]);
arr1[Integer.parseInt(strings[0])][1] = Integer.parseInt(strings[2]);
}
int t = Integer.parseInt(br.readLine());
if (arr1[t][0] == 0 && arr1[t][1] == 0){
System.out.println(0);
} else if(arr1[t][0] != 0){
System.out.println(arr1[t][0] );
}else {
System.out.println(arr1[t][1] );
}
// createTree(head1, arr1);
}
public static void createTree(Node head, int[][] arr) {
if (head == null) {
return;
}
if (arr[head.value][0] != 0) {
head.left = new Node(arr[head.value][0]);
createTree(head.left, arr);
}
if (arr[head.value][1] != 0) {
head.right = new Node(arr[head.value][1]);
createTree(head.right, arr);
}
}
}
|
normal
|
{
"blob_id": "6d0a945c9eaf6564a327928880df1f0aeed2e5d0",
"index": 9649,
"step-1": "import java.io.BufferedReader;\nimport java.io.IOException;\nimport java.io.InputStreamReader;\n\npublic class Main {\n\n public static void findSubNode(Node root) {\n\n }\n\n public static void main(String args[]) throws IOException {\n BufferedReader br = new BufferedReader(new InputStreamReader(System.in));\n String[] strings = br.readLine().split(\" \");\n int n = Integer.parseInt(strings[0]);\n int root = Integer.parseInt(strings[1]);\n Node head1 = new Node(root);\n int[][] arr1 = new int[100 + 1][2];\n for (int i = 0; i < n; i++) {\n strings = br.readLine().split(\" \");\n arr1[Integer.parseInt(strings[0])][0] = Integer.parseInt(strings[1]);\n arr1[Integer.parseInt(strings[0])][1] = Integer.parseInt(strings[2]);\n }\n int t = Integer.parseInt(br.readLine());\n if (arr1[t][0] == 0 && arr1[t][1] == 0){\n System.out.println(0);\n } else if(arr1[t][0] != 0){\n System.out.println(arr1[t][0] );\n }else {\n System.out.println(arr1[t][1] );\n }\n// createTree(head1, arr1);\n }\n\n public static void createTree(Node head, int[][] arr) {\n if (head == null) {\n return;\n }\n if (arr[head.value][0] != 0) {\n head.left = new Node(arr[head.value][0]);\n createTree(head.left, arr);\n }\n if (arr[head.value][1] != 0) {\n head.right = new Node(arr[head.value][1]);\n createTree(head.right, arr);\n }\n }\n}\n\n\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
}
|
[
0
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def bigquery(datafile, dataset=os.environ['BQDATASET'], project=os.environ[
'GCPPROJECT'], schema=[{'name': 'conversation', 'type': 'STRING'}, {
'name': 'id', 'type': 'INTEGER'}, {'name': 'from', 'type': 'STRING'}, {
'name': 'text', 'type': 'STRING'}, {'name': 'wordcount', 'type':
'INTEGER'}, {'name': 'reply_to_message_id', 'type': 'INTEGER'}, {'name':
'photo', 'type': 'STRING'}, {'name': 'wait_time', 'type': 'FLOAT'}]):
log.info('creating bigquery dataset')
src = data_generator(datafile)
chatinfo = create_dataframe(src)
ts = chatinfo.to_gbq('{}'.format(dataset), project_id='{}'.format(
project), if_exists='replace', table_schema=schema)
if ts:
return True
else:
return False
<|reserved_special_token_1|>
import os
from logzero import logger as log
from extract import data_generator
from transform import create_dataframe
def bigquery(datafile, dataset=os.environ['BQDATASET'], project=os.environ[
'GCPPROJECT'], schema=[{'name': 'conversation', 'type': 'STRING'}, {
'name': 'id', 'type': 'INTEGER'}, {'name': 'from', 'type': 'STRING'}, {
'name': 'text', 'type': 'STRING'}, {'name': 'wordcount', 'type':
'INTEGER'}, {'name': 'reply_to_message_id', 'type': 'INTEGER'}, {'name':
'photo', 'type': 'STRING'}, {'name': 'wait_time', 'type': 'FLOAT'}]):
log.info('creating bigquery dataset')
src = data_generator(datafile)
chatinfo = create_dataframe(src)
ts = chatinfo.to_gbq('{}'.format(dataset), project_id='{}'.format(
project), if_exists='replace', table_schema=schema)
if ts:
return True
else:
return False
<|reserved_special_token_1|>
import os
from logzero import logger as log
from extract import data_generator
from transform import create_dataframe
def bigquery(
datafile,
dataset=os.environ["BQDATASET"],
project=os.environ["GCPPROJECT"],
schema=[
{"name": "conversation", "type": "STRING"},
{"name": "id", "type": "INTEGER"},
{"name": "from", "type": "STRING"},
{"name": "text", "type": "STRING"},
{"name": "wordcount", "type": "INTEGER"},
{"name": "reply_to_message_id", "type": "INTEGER"},
{"name": "photo", "type": "STRING"},
{"name": "wait_time", "type": "FLOAT"},
],
):
log.info("creating bigquery dataset")
src = data_generator(datafile)
chatinfo = create_dataframe(src)
ts = chatinfo.to_gbq(
"{}".format(dataset),
project_id="{}".format(project),
if_exists="replace",
table_schema=schema,
)
if ts:
return True
else:
return False
|
flexible
|
{
"blob_id": "d6046217308745b85455aed78734700b9622782c",
"index": 7559,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef bigquery(datafile, dataset=os.environ['BQDATASET'], project=os.environ[\n 'GCPPROJECT'], schema=[{'name': 'conversation', 'type': 'STRING'}, {\n 'name': 'id', 'type': 'INTEGER'}, {'name': 'from', 'type': 'STRING'}, {\n 'name': 'text', 'type': 'STRING'}, {'name': 'wordcount', 'type':\n 'INTEGER'}, {'name': 'reply_to_message_id', 'type': 'INTEGER'}, {'name':\n 'photo', 'type': 'STRING'}, {'name': 'wait_time', 'type': 'FLOAT'}]):\n log.info('creating bigquery dataset')\n src = data_generator(datafile)\n chatinfo = create_dataframe(src)\n ts = chatinfo.to_gbq('{}'.format(dataset), project_id='{}'.format(\n project), if_exists='replace', table_schema=schema)\n if ts:\n return True\n else:\n return False\n",
"step-3": "import os\nfrom logzero import logger as log\nfrom extract import data_generator\nfrom transform import create_dataframe\n\n\ndef bigquery(datafile, dataset=os.environ['BQDATASET'], project=os.environ[\n 'GCPPROJECT'], schema=[{'name': 'conversation', 'type': 'STRING'}, {\n 'name': 'id', 'type': 'INTEGER'}, {'name': 'from', 'type': 'STRING'}, {\n 'name': 'text', 'type': 'STRING'}, {'name': 'wordcount', 'type':\n 'INTEGER'}, {'name': 'reply_to_message_id', 'type': 'INTEGER'}, {'name':\n 'photo', 'type': 'STRING'}, {'name': 'wait_time', 'type': 'FLOAT'}]):\n log.info('creating bigquery dataset')\n src = data_generator(datafile)\n chatinfo = create_dataframe(src)\n ts = chatinfo.to_gbq('{}'.format(dataset), project_id='{}'.format(\n project), if_exists='replace', table_schema=schema)\n if ts:\n return True\n else:\n return False\n",
"step-4": "import os\nfrom logzero import logger as log\nfrom extract import data_generator\n\nfrom transform import create_dataframe\n\n\ndef bigquery(\n datafile,\n dataset=os.environ[\"BQDATASET\"],\n project=os.environ[\"GCPPROJECT\"],\n schema=[\n {\"name\": \"conversation\", \"type\": \"STRING\"},\n {\"name\": \"id\", \"type\": \"INTEGER\"},\n {\"name\": \"from\", \"type\": \"STRING\"},\n {\"name\": \"text\", \"type\": \"STRING\"},\n {\"name\": \"wordcount\", \"type\": \"INTEGER\"},\n {\"name\": \"reply_to_message_id\", \"type\": \"INTEGER\"},\n {\"name\": \"photo\", \"type\": \"STRING\"},\n {\"name\": \"wait_time\", \"type\": \"FLOAT\"},\n ],\n):\n\n log.info(\"creating bigquery dataset\")\n src = data_generator(datafile)\n chatinfo = create_dataframe(src)\n ts = chatinfo.to_gbq(\n \"{}\".format(dataset),\n project_id=\"{}\".format(project),\n if_exists=\"replace\",\n table_schema=schema,\n )\n if ts:\n return True\n else:\n return False\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
import numpy as np
import cv2
from PIL import Image
import pytesseract as tess
#Function to check the area range and width-height ratio
def ratio(area, width,height):
ratio = float(width)/float(height)
if ratio < 1:
ratio = 1/ ratio
if (area<1063.62 or area> 73862.5) or (ratio<3 or ratio> 6):
return False
return True
#Average of image matrix
def max_White(plates):
avg= np.mean(plates)
if(avg >= 115):
return True
else:
return False
|
normal
|
{
"blob_id": "ab610af97d2b31575ea496b8fddda693353da8eb",
"index": 2870,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef ratio(area, width, height):\n ratio = float(width) / float(height)\n if ratio < 1:\n ratio = 1 / ratio\n if (area < 1063.62 or area > 73862.5) or (ratio < 3 or ratio > 6):\n return False\n return True\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef ratio(area, width, height):\n ratio = float(width) / float(height)\n if ratio < 1:\n ratio = 1 / ratio\n if (area < 1063.62 or area > 73862.5) or (ratio < 3 or ratio > 6):\n return False\n return True\n\n\ndef max_White(plates):\n avg = np.mean(plates)\n if avg >= 115:\n return True\n else:\n return False\n",
"step-4": "import numpy as np\nimport cv2\nfrom PIL import Image\nimport pytesseract as tess\n\n\ndef ratio(area, width, height):\n ratio = float(width) / float(height)\n if ratio < 1:\n ratio = 1 / ratio\n if (area < 1063.62 or area > 73862.5) or (ratio < 3 or ratio > 6):\n return False\n return True\n\n\ndef max_White(plates):\n avg = np.mean(plates)\n if avg >= 115:\n return True\n else:\n return False\n",
"step-5": "import numpy as np \nimport cv2\nfrom PIL import Image\nimport pytesseract as tess \n\n\n\n#Function to check the area range and width-height ratio\n\ndef ratio(area, width,height):\n\tratio = float(width)/float(height)\n\tif ratio < 1:\n\t\tratio = 1/ ratio\n\tif (area<1063.62 or area> 73862.5) or (ratio<3 or ratio> 6):\n\t\treturn False\n\treturn True\n\n#Average of image matrix\n\ndef max_White(plates):\n\n\tavg= np.mean(plates)\n\tif(avg >= 115):\n\t\treturn True\n\telse:\n\t\treturn False\n\n\n\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TestSTCHANGE:
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class TestSTCHANGE:
def setup_method(self, method):
self.driver = webdriver.Chrome()
self.vars = {}
def teardown_method(self, method):
self.driver.quit()
def test_sTCHANGE(self):
self.driver.get('http://10.51.30.52:8090/main/desktop-login.html')
self.driver.set_window_size(976, 696)
self.driver.find_element(By.ID, 'idInputUsername').click()
self.driver.find_element(By.ID, 'idInputUsername').send_keys(
'SUPERVISOR')
self.driver.find_element(By.ID, 'login-panel').click()
self.driver.find_element(By.ID, 'idInputPassword').click()
self.driver.find_element(By.ID, 'idInputPassword').send_keys('**')
self.driver.find_element(By.ID, 'submit.button').click()
self.driver.find_element(By.ID, 'BVMAPS').click()
self.driver.find_element(By.CSS_SELECTOR,
'#UI_BADGES_GRID\\.gridView\\.row\\#22_Tcell\\#0 > div > div'
).click()
self.driver.find_element(By.ID, 'badge.html.ribbon.properties').click()
self.driver.find_element(By.ID, '__selection_4').click()
element = self.driver.find_element(By.CSS_SELECTOR,
'#\\__pan_4 > .listItemNormal:nth-child(2)')
actions = ActionChains(self.driver)
actions.move_to_element(element).click_and_hold().perform()
element = self.driver.find_element(By.ID, '__selection_5')
actions = ActionChains(self.driver)
actions.move_to_element(element).release().perform()
self.driver.find_element(By.CSS_SELECTOR,
'#PROPERTIES_CONTROLS td:nth-child(2) .middlePart').click()
self.driver.find_element(By.ID, 'badge.html.ribbon.properties.apply'
).click()
self.driver.find_element(By.CSS_SELECTOR, 'body > img').click()
self.driver.find_element(By.CSS_SELECTOR, 'a > img').click()
self.driver.find_element(By.ID, 'main.html.btn_logout').click()
<|reserved_special_token_1|>
import pytest
import time
import json
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
class TestSTCHANGE:
def setup_method(self, method):
self.driver = webdriver.Chrome()
self.vars = {}
def teardown_method(self, method):
self.driver.quit()
def test_sTCHANGE(self):
self.driver.get('http://10.51.30.52:8090/main/desktop-login.html')
self.driver.set_window_size(976, 696)
self.driver.find_element(By.ID, 'idInputUsername').click()
self.driver.find_element(By.ID, 'idInputUsername').send_keys(
'SUPERVISOR')
self.driver.find_element(By.ID, 'login-panel').click()
self.driver.find_element(By.ID, 'idInputPassword').click()
self.driver.find_element(By.ID, 'idInputPassword').send_keys('**')
self.driver.find_element(By.ID, 'submit.button').click()
self.driver.find_element(By.ID, 'BVMAPS').click()
self.driver.find_element(By.CSS_SELECTOR,
'#UI_BADGES_GRID\\.gridView\\.row\\#22_Tcell\\#0 > div > div'
).click()
self.driver.find_element(By.ID, 'badge.html.ribbon.properties').click()
self.driver.find_element(By.ID, '__selection_4').click()
element = self.driver.find_element(By.CSS_SELECTOR,
'#\\__pan_4 > .listItemNormal:nth-child(2)')
actions = ActionChains(self.driver)
actions.move_to_element(element).click_and_hold().perform()
element = self.driver.find_element(By.ID, '__selection_5')
actions = ActionChains(self.driver)
actions.move_to_element(element).release().perform()
self.driver.find_element(By.CSS_SELECTOR,
'#PROPERTIES_CONTROLS td:nth-child(2) .middlePart').click()
self.driver.find_element(By.ID, 'badge.html.ribbon.properties.apply'
).click()
self.driver.find_element(By.CSS_SELECTOR, 'body > img').click()
self.driver.find_element(By.CSS_SELECTOR, 'a > img').click()
self.driver.find_element(By.ID, 'main.html.btn_logout').click()
<|reserved_special_token_1|>
# Generated by Selenium IDE
import pytest
import time
import json
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support import expected_conditions
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
class TestSTCHANGE():
def setup_method(self, method):
self.driver = webdriver.Chrome()
self.vars = {}
def teardown_method(self, method):
self.driver.quit()
def test_sTCHANGE(self):
# Test name: ST CHANGE
# Step # | name | target | value
# 1 | open | /main/desktop-login.html |
self.driver.get("http://10.51.30.52:8090/main/desktop-login.html")
# 2 | setWindowSize | 976x696 |
self.driver.set_window_size(976, 696)
# 3 | click | id=idInputUsername |
self.driver.find_element(By.ID, "idInputUsername").click()
# 4 | type | id=idInputUsername | SUPERVISOR
self.driver.find_element(By.ID, "idInputUsername").send_keys("SUPERVISOR")
# 5 | click | id=login-panel |
self.driver.find_element(By.ID, "login-panel").click()
# 6 | click | id=idInputPassword |
self.driver.find_element(By.ID, "idInputPassword").click()
# 7 | type | id=idInputPassword | **
self.driver.find_element(By.ID, "idInputPassword").send_keys("**")
# 8 | click | id=submit.button |
self.driver.find_element(By.ID, "submit.button").click()
# 9 | click | id=BVMAPS |
self.driver.find_element(By.ID, "BVMAPS").click()
# 10 | click | css=#UI_BADGES_GRID\.gridView\.row\#22_Tcell\#0 > div > div |
self.driver.find_element(By.CSS_SELECTOR, "#UI_BADGES_GRID\\.gridView\\.row\\#22_Tcell\\#0 > div > div").click()
# 11 | click | id=badge.html.ribbon.properties |
self.driver.find_element(By.ID, "badge.html.ribbon.properties").click()
# 12 | click | id=__selection_4 |
self.driver.find_element(By.ID, "__selection_4").click()
# 13 | mouseDown | css=#\__pan_4 > .listItemNormal:nth-child(2) |
element = self.driver.find_element(By.CSS_SELECTOR, "#\\__pan_4 > .listItemNormal:nth-child(2)")
actions = ActionChains(self.driver)
actions.move_to_element(element).click_and_hold().perform()
# 14 | mouseUp | id=__selection_5 |
element = self.driver.find_element(By.ID, "__selection_5")
actions = ActionChains(self.driver)
actions.move_to_element(element).release().perform()
# 15 | click | css=#PROPERTIES_CONTROLS td:nth-child(2) .middlePart |
self.driver.find_element(By.CSS_SELECTOR, "#PROPERTIES_CONTROLS td:nth-child(2) .middlePart").click()
# 16 | click | id=badge.html.ribbon.properties.apply |
self.driver.find_element(By.ID, "badge.html.ribbon.properties.apply").click()
# 17 | click | css=body > img |
self.driver.find_element(By.CSS_SELECTOR, "body > img").click()
# 18 | click | css=a > img |
self.driver.find_element(By.CSS_SELECTOR, "a > img").click()
# 19 | click | id=main.html.btn_logout |
self.driver.find_element(By.ID, "main.html.btn_logout").click()
|
flexible
|
{
"blob_id": "87f8cc65cf7d0ea932de79a6daf5b29ad387ec6f",
"index": 7103,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass TestSTCHANGE:\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass TestSTCHANGE:\n\n def setup_method(self, method):\n self.driver = webdriver.Chrome()\n self.vars = {}\n\n def teardown_method(self, method):\n self.driver.quit()\n\n def test_sTCHANGE(self):\n self.driver.get('http://10.51.30.52:8090/main/desktop-login.html')\n self.driver.set_window_size(976, 696)\n self.driver.find_element(By.ID, 'idInputUsername').click()\n self.driver.find_element(By.ID, 'idInputUsername').send_keys(\n 'SUPERVISOR')\n self.driver.find_element(By.ID, 'login-panel').click()\n self.driver.find_element(By.ID, 'idInputPassword').click()\n self.driver.find_element(By.ID, 'idInputPassword').send_keys('**')\n self.driver.find_element(By.ID, 'submit.button').click()\n self.driver.find_element(By.ID, 'BVMAPS').click()\n self.driver.find_element(By.CSS_SELECTOR,\n '#UI_BADGES_GRID\\\\.gridView\\\\.row\\\\#22_Tcell\\\\#0 > div > div'\n ).click()\n self.driver.find_element(By.ID, 'badge.html.ribbon.properties').click()\n self.driver.find_element(By.ID, '__selection_4').click()\n element = self.driver.find_element(By.CSS_SELECTOR,\n '#\\\\__pan_4 > .listItemNormal:nth-child(2)')\n actions = ActionChains(self.driver)\n actions.move_to_element(element).click_and_hold().perform()\n element = self.driver.find_element(By.ID, '__selection_5')\n actions = ActionChains(self.driver)\n actions.move_to_element(element).release().perform()\n self.driver.find_element(By.CSS_SELECTOR,\n '#PROPERTIES_CONTROLS td:nth-child(2) .middlePart').click()\n self.driver.find_element(By.ID, 'badge.html.ribbon.properties.apply'\n ).click()\n self.driver.find_element(By.CSS_SELECTOR, 'body > img').click()\n self.driver.find_element(By.CSS_SELECTOR, 'a > img').click()\n self.driver.find_element(By.ID, 'main.html.btn_logout').click()\n",
"step-4": "import pytest\nimport time\nimport json\nfrom selenium import webdriver\nfrom selenium.webdriver.common.by import By\nfrom selenium.webdriver.common.action_chains import ActionChains\nfrom selenium.webdriver.support import expected_conditions\nfrom selenium.webdriver.support.wait import WebDriverWait\nfrom selenium.webdriver.common.keys import Keys\nfrom selenium.webdriver.common.desired_capabilities import DesiredCapabilities\n\n\nclass TestSTCHANGE:\n\n def setup_method(self, method):\n self.driver = webdriver.Chrome()\n self.vars = {}\n\n def teardown_method(self, method):\n self.driver.quit()\n\n def test_sTCHANGE(self):\n self.driver.get('http://10.51.30.52:8090/main/desktop-login.html')\n self.driver.set_window_size(976, 696)\n self.driver.find_element(By.ID, 'idInputUsername').click()\n self.driver.find_element(By.ID, 'idInputUsername').send_keys(\n 'SUPERVISOR')\n self.driver.find_element(By.ID, 'login-panel').click()\n self.driver.find_element(By.ID, 'idInputPassword').click()\n self.driver.find_element(By.ID, 'idInputPassword').send_keys('**')\n self.driver.find_element(By.ID, 'submit.button').click()\n self.driver.find_element(By.ID, 'BVMAPS').click()\n self.driver.find_element(By.CSS_SELECTOR,\n '#UI_BADGES_GRID\\\\.gridView\\\\.row\\\\#22_Tcell\\\\#0 > div > div'\n ).click()\n self.driver.find_element(By.ID, 'badge.html.ribbon.properties').click()\n self.driver.find_element(By.ID, '__selection_4').click()\n element = self.driver.find_element(By.CSS_SELECTOR,\n '#\\\\__pan_4 > .listItemNormal:nth-child(2)')\n actions = ActionChains(self.driver)\n actions.move_to_element(element).click_and_hold().perform()\n element = self.driver.find_element(By.ID, '__selection_5')\n actions = ActionChains(self.driver)\n actions.move_to_element(element).release().perform()\n self.driver.find_element(By.CSS_SELECTOR,\n '#PROPERTIES_CONTROLS td:nth-child(2) .middlePart').click()\n self.driver.find_element(By.ID, 'badge.html.ribbon.properties.apply'\n ).click()\n self.driver.find_element(By.CSS_SELECTOR, 'body > img').click()\n self.driver.find_element(By.CSS_SELECTOR, 'a > img').click()\n self.driver.find_element(By.ID, 'main.html.btn_logout').click()\n",
"step-5": "# Generated by Selenium IDE\nimport pytest\nimport time\nimport json\nfrom selenium import webdriver\nfrom selenium.webdriver.common.by import By\nfrom selenium.webdriver.common.action_chains import ActionChains\nfrom selenium.webdriver.support import expected_conditions\nfrom selenium.webdriver.support.wait import WebDriverWait\nfrom selenium.webdriver.common.keys import Keys\nfrom selenium.webdriver.common.desired_capabilities import DesiredCapabilities\n\n\nclass TestSTCHANGE():\n def setup_method(self, method):\n self.driver = webdriver.Chrome()\n self.vars = {}\n\n def teardown_method(self, method):\n self.driver.quit()\n\n def test_sTCHANGE(self):\n # Test name: ST CHANGE\n # Step # | name | target | value\n # 1 | open | /main/desktop-login.html |\n self.driver.get(\"http://10.51.30.52:8090/main/desktop-login.html\")\n # 2 | setWindowSize | 976x696 |\n self.driver.set_window_size(976, 696)\n # 3 | click | id=idInputUsername |\n self.driver.find_element(By.ID, \"idInputUsername\").click()\n # 4 | type | id=idInputUsername | SUPERVISOR\n self.driver.find_element(By.ID, \"idInputUsername\").send_keys(\"SUPERVISOR\")\n # 5 | click | id=login-panel |\n self.driver.find_element(By.ID, \"login-panel\").click()\n # 6 | click | id=idInputPassword |\n self.driver.find_element(By.ID, \"idInputPassword\").click()\n # 7 | type | id=idInputPassword | **\n self.driver.find_element(By.ID, \"idInputPassword\").send_keys(\"**\")\n # 8 | click | id=submit.button |\n self.driver.find_element(By.ID, \"submit.button\").click()\n # 9 | click | id=BVMAPS |\n self.driver.find_element(By.ID, \"BVMAPS\").click()\n # 10 | click | css=#UI_BADGES_GRID\\.gridView\\.row\\#22_Tcell\\#0 > div > div |\n self.driver.find_element(By.CSS_SELECTOR, \"#UI_BADGES_GRID\\\\.gridView\\\\.row\\\\#22_Tcell\\\\#0 > div > div\").click()\n # 11 | click | id=badge.html.ribbon.properties |\n self.driver.find_element(By.ID, \"badge.html.ribbon.properties\").click()\n # 12 | click | id=__selection_4 |\n self.driver.find_element(By.ID, \"__selection_4\").click()\n # 13 | mouseDown | css=#\\__pan_4 > .listItemNormal:nth-child(2) |\n element = self.driver.find_element(By.CSS_SELECTOR, \"#\\\\__pan_4 > .listItemNormal:nth-child(2)\")\n actions = ActionChains(self.driver)\n actions.move_to_element(element).click_and_hold().perform()\n # 14 | mouseUp | id=__selection_5 |\n element = self.driver.find_element(By.ID, \"__selection_5\")\n actions = ActionChains(self.driver)\n actions.move_to_element(element).release().perform()\n # 15 | click | css=#PROPERTIES_CONTROLS td:nth-child(2) .middlePart |\n self.driver.find_element(By.CSS_SELECTOR, \"#PROPERTIES_CONTROLS td:nth-child(2) .middlePart\").click()\n # 16 | click | id=badge.html.ribbon.properties.apply |\n self.driver.find_element(By.ID, \"badge.html.ribbon.properties.apply\").click()\n # 17 | click | css=body > img |\n self.driver.find_element(By.CSS_SELECTOR, \"body > img\").click()\n # 18 | click | css=a > img |\n self.driver.find_element(By.CSS_SELECTOR, \"a > img\").click()\n # 19 | click | id=main.html.btn_logout |\n self.driver.find_element(By.ID, \"main.html.btn_logout\").click()\n",
"step-ids": [
0,
1,
4,
5,
6
]
}
|
[
0,
1,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def fetchsquare(request, id):
try:
therm = Therm.objects.get(id=id)
except Therm.DoesNotExist:
raise Http404('This item does not exist')
return render(request, 'thermometer/fetchsquare.html', {'therm': therm})
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def index(request):
therms = Therm.objects.all()
return render(request, 'thermometer/index.html', {'therms': therms})
def fetchsquare(request, id):
try:
therm = Therm.objects.get(id=id)
except Therm.DoesNotExist:
raise Http404('This item does not exist')
return render(request, 'thermometer/fetchsquare.html', {'therm': therm})
<|reserved_special_token_1|>
from django.shortcuts import render
from django.http import Http404
from thermometer.models import Therm
def index(request):
therms = Therm.objects.all()
return render(request, 'thermometer/index.html', {'therms': therms})
def fetchsquare(request, id):
try:
therm = Therm.objects.get(id=id)
except Therm.DoesNotExist:
raise Http404('This item does not exist')
return render(request, 'thermometer/fetchsquare.html', {'therm': therm})
<|reserved_special_token_1|>
from django.shortcuts import render
from django.http import Http404
from thermometer.models import Therm
def index(request):
therms = Therm.objects.all()
return render(request, 'thermometer/index.html', {
'therms': therms,
})
def fetchsquare(request, id):
try:
therm = Therm.objects.get(id=id)
except Therm.DoesNotExist:
raise Http404('This item does not exist')
return render(request, 'thermometer/fetchsquare.html', {
'therm': therm,
})
|
flexible
|
{
"blob_id": "504d4afc4b3e708d43110a2d85676fb745f1aba8",
"index": 9874,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef fetchsquare(request, id):\n try:\n therm = Therm.objects.get(id=id)\n except Therm.DoesNotExist:\n raise Http404('This item does not exist')\n return render(request, 'thermometer/fetchsquare.html', {'therm': therm})\n",
"step-3": "<mask token>\n\n\ndef index(request):\n therms = Therm.objects.all()\n return render(request, 'thermometer/index.html', {'therms': therms})\n\n\ndef fetchsquare(request, id):\n try:\n therm = Therm.objects.get(id=id)\n except Therm.DoesNotExist:\n raise Http404('This item does not exist')\n return render(request, 'thermometer/fetchsquare.html', {'therm': therm})\n",
"step-4": "from django.shortcuts import render\nfrom django.http import Http404\nfrom thermometer.models import Therm\n\n\ndef index(request):\n therms = Therm.objects.all()\n return render(request, 'thermometer/index.html', {'therms': therms})\n\n\ndef fetchsquare(request, id):\n try:\n therm = Therm.objects.get(id=id)\n except Therm.DoesNotExist:\n raise Http404('This item does not exist')\n return render(request, 'thermometer/fetchsquare.html', {'therm': therm})\n",
"step-5": "from django.shortcuts import render\nfrom django.http import Http404\n\nfrom thermometer.models import Therm\n\ndef index(request):\n\ttherms = Therm.objects.all()\n\treturn render(request, 'thermometer/index.html', {\n\t\t'therms': therms,\n\t})\n\ndef fetchsquare(request, id):\n\ttry:\n\t\ttherm = Therm.objects.get(id=id)\n\texcept Therm.DoesNotExist:\n\t\traise Http404('This item does not exist')\n\treturn render(request, 'thermometer/fetchsquare.html', {\n\t\t'therm': therm,\n\t})",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
# Copyright 2011 Isaku Yamahata
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
"""
Tests for Block Device utility functions.
"""
from unittest import mock
from oslo_utils.fixture import uuidsentinel as uuids
from oslo_utils import units
from nova import block_device
from nova.compute import api as compute_api
from nova import context
from nova import exception
from nova import objects
from nova import test
from nova.tests.unit import fake_block_device
from nova.tests.unit import matchers
from nova.volume import cinder
class BlockDeviceTestCase(test.NoDBTestCase):
def setUp(self):
super(BlockDeviceTestCase, self).setUp()
BDM = block_device.BlockDeviceDict
self.new_mapping = [
BDM({'id': 1, 'instance_uuid': uuids.instance,
'device_name': '/dev/sdb1',
'source_type': 'blank',
'destination_type': 'local',
'delete_on_termination': True,
'volume_size': 1,
'guest_format': 'swap',
'boot_index': -1}),
BDM({'id': 2, 'instance_uuid': uuids.instance,
'device_name': '/dev/sdc1',
'source_type': 'blank',
'destination_type': 'local',
'volume_size': 10,
'delete_on_termination': True,
'boot_index': -1}),
BDM({'id': 3, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda1',
'source_type': 'volume',
'destination_type': 'volume',
'volume_id': 'fake-volume-id-1',
'connection_info': "{'fake': 'connection_info'}",
'boot_index': 0}),
BDM({'id': 4, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda2',
'source_type': 'snapshot',
'destination_type': 'volume',
'connection_info': "{'fake': 'connection_info'}",
'snapshot_id': 'fake-snapshot-id-1',
'volume_id': 'fake-volume-id-2',
'boot_index': -1}),
BDM({'id': 5, 'instance_uuid': uuids.instance,
'no_device': True,
'device_name': '/dev/vdc'}),
]
def test_properties(self):
root_device0 = '/dev/sda'
root_device1 = '/dev/sdb'
mappings = [{'virtual': 'root',
'device': root_device0}]
properties0 = {'mappings': mappings}
properties1 = {'mappings': mappings,
'root_device_name': root_device1}
self.assertIsNone(block_device.properties_root_device_name({}))
self.assertEqual(root_device0,
block_device.properties_root_device_name(properties0))
self.assertEqual(root_device1,
block_device.properties_root_device_name(properties1))
def test_ephemeral(self):
self.assertFalse(block_device.is_ephemeral('ephemeral'))
self.assertTrue(block_device.is_ephemeral('ephemeral0'))
self.assertTrue(block_device.is_ephemeral('ephemeral1'))
self.assertTrue(block_device.is_ephemeral('ephemeral11'))
self.assertFalse(block_device.is_ephemeral('root'))
self.assertFalse(block_device.is_ephemeral('swap'))
self.assertFalse(block_device.is_ephemeral('/dev/sda1'))
self.assertEqual(0, block_device.ephemeral_num('ephemeral0'))
self.assertEqual(1, block_device.ephemeral_num('ephemeral1'))
self.assertEqual(11, block_device.ephemeral_num('ephemeral11'))
self.assertFalse(block_device.is_swap_or_ephemeral('ephemeral'))
self.assertTrue(block_device.is_swap_or_ephemeral('ephemeral0'))
self.assertTrue(block_device.is_swap_or_ephemeral('ephemeral1'))
self.assertTrue(block_device.is_swap_or_ephemeral('swap'))
self.assertFalse(block_device.is_swap_or_ephemeral('root'))
self.assertFalse(block_device.is_swap_or_ephemeral('/dev/sda1'))
def test_mappings_prepend_dev(self):
mapping = [
{'virtual': 'ami', 'device': '/dev/sda'},
{'virtual': 'root', 'device': 'sda'},
{'virtual': 'ephemeral0', 'device': 'sdb'},
{'virtual': 'swap', 'device': 'sdc'},
{'virtual': 'ephemeral1', 'device': 'sdd'},
{'virtual': 'ephemeral2', 'device': 'sde'}]
expected = [
{'virtual': 'ami', 'device': '/dev/sda'},
{'virtual': 'root', 'device': 'sda'},
{'virtual': 'ephemeral0', 'device': '/dev/sdb'},
{'virtual': 'swap', 'device': '/dev/sdc'},
{'virtual': 'ephemeral1', 'device': '/dev/sdd'},
{'virtual': 'ephemeral2', 'device': '/dev/sde'}]
prepended = block_device.mappings_prepend_dev(mapping)
self.assertEqual(sorted(expected, key=lambda v: v['virtual']),
sorted(prepended, key=lambda v: v['virtual']))
def test_strip_dev(self):
self.assertEqual('sda', block_device.strip_dev('/dev/sda'))
self.assertEqual('sda', block_device.strip_dev('sda'))
self.assertIsNone(block_device.strip_dev(None))
def test_strip_prefix(self):
self.assertEqual('a', block_device.strip_prefix('/dev/sda'))
self.assertEqual('a', block_device.strip_prefix('a'))
self.assertEqual('a', block_device.strip_prefix('xvda'))
self.assertEqual('a', block_device.strip_prefix('vda'))
self.assertEqual('a', block_device.strip_prefix('hda'))
self.assertIsNone(block_device.strip_prefix(None))
def test_get_device_letter(self):
self.assertEqual('', block_device.get_device_letter(''))
self.assertEqual('a', block_device.get_device_letter('/dev/sda1'))
self.assertEqual('b', block_device.get_device_letter('/dev/xvdb'))
self.assertEqual('d', block_device.get_device_letter('/dev/d'))
self.assertEqual('a', block_device.get_device_letter('a'))
self.assertEqual('b', block_device.get_device_letter('sdb2'))
self.assertEqual('c', block_device.get_device_letter('vdc'))
self.assertEqual('c', block_device.get_device_letter('hdc'))
self.assertIsNone(block_device.get_device_letter(None))
def test_generate_device_name(self):
expected = (
('vda', ("vd", 0)),
('vdaa', ("vd", 26)),
('vdabc', ("vd", 730)),
('vdidpok', ("vd", 4194304)),
('sdc', ("sd", 2)),
('sdaa', ("sd", 26)),
('sdiw', ("sd", 256)),
('hdzz', ("hd", 701))
)
for res, args in expected:
self.assertEqual(res, block_device.generate_device_name(*args))
def test_volume_in_mapping(self):
swap = {'device_name': '/dev/sdb',
'swap_size': 1}
ephemerals = [{'num': 0,
'virtual_name': 'ephemeral0',
'device_name': '/dev/sdc1',
'size': 1},
{'num': 2,
'virtual_name': 'ephemeral2',
'device_name': '/dev/sdd',
'size': 1}]
block_device_mapping = [{'mount_device': '/dev/sde',
'device_path': 'fake_device'},
{'mount_device': '/dev/sdf',
'device_path': 'fake_device'}]
block_device_info = {
'root_device_name': '/dev/sda',
'swap': swap,
'ephemerals': ephemerals,
'block_device_mapping': block_device_mapping}
def _assert_volume_in_mapping(device_name, true_or_false):
in_mapping = block_device.volume_in_mapping(
device_name, block_device_info)
self.assertEqual(true_or_false, in_mapping)
_assert_volume_in_mapping('sda', False)
_assert_volume_in_mapping('sdb', True)
_assert_volume_in_mapping('sdc1', True)
_assert_volume_in_mapping('sdd', True)
_assert_volume_in_mapping('sde', True)
_assert_volume_in_mapping('sdf', True)
_assert_volume_in_mapping('sdg', False)
_assert_volume_in_mapping('sdh1', False)
def test_get_root_bdm(self):
root_bdm = {'device_name': 'vda', 'boot_index': 0}
bdms = [root_bdm,
{'device_name': 'vdb', 'boot_index': 1},
{'device_name': 'vdc', 'boot_index': -1},
{'device_name': 'vdd'}]
self.assertEqual(root_bdm, block_device.get_root_bdm(bdms))
self.assertEqual(root_bdm, block_device.get_root_bdm([bdms[0]]))
self.assertIsNone(block_device.get_root_bdm(bdms[1:]))
self.assertIsNone(block_device.get_root_bdm(bdms[2:]))
self.assertIsNone(block_device.get_root_bdm(bdms[3:]))
self.assertIsNone(block_device.get_root_bdm([]))
def test_get_bdm_ephemeral_disk_size(self):
size = block_device.get_bdm_ephemeral_disk_size(self.new_mapping)
self.assertEqual(10, size)
def test_get_bdm_swap_list(self):
swap_list = block_device.get_bdm_swap_list(self.new_mapping)
self.assertEqual(1, len(swap_list))
self.assertEqual(1, swap_list[0].get('id'))
def test_get_bdm_local_disk_num(self):
size = block_device.get_bdm_local_disk_num(self.new_mapping)
self.assertEqual(2, size)
def test_new_format_is_swap(self):
expected_results = [True, False, False, False, False]
for expected, bdm in zip(expected_results, self.new_mapping):
res = block_device.new_format_is_swap(bdm)
self.assertEqual(expected, res)
def test_new_format_is_ephemeral(self):
expected_results = [False, True, False, False, False]
for expected, bdm in zip(expected_results, self.new_mapping):
res = block_device.new_format_is_ephemeral(bdm)
self.assertEqual(expected, res)
def test_validate_device_name(self):
for value in [' ', 10, None, 'a' * 260]:
self.assertRaises(exception.InvalidBDMFormat,
block_device.validate_device_name,
value)
def test_validate_and_default_volume_size(self):
bdm = {}
for value in [-1, 'a', 2.5]:
bdm['volume_size'] = value
self.assertRaises(exception.InvalidBDMFormat,
block_device.validate_and_default_volume_size,
bdm)
def test_get_bdms_to_connect(self):
root_bdm = {'device_name': 'vda', 'boot_index': 0}
bdms = [root_bdm,
{'device_name': 'vdb', 'boot_index': 1},
{'device_name': 'vdc', 'boot_index': -1},
{'device_name': 'vde', 'boot_index': None},
{'device_name': 'vdd'}]
self.assertNotIn(root_bdm, block_device.get_bdms_to_connect(bdms,
exclude_root_mapping=True))
self.assertIn(root_bdm, block_device.get_bdms_to_connect(bdms))
class TestBlockDeviceDict(test.NoDBTestCase):
def setUp(self):
super(TestBlockDeviceDict, self).setUp()
BDM = block_device.BlockDeviceDict
self.api_mapping = [
{'id': 1, 'instance_uuid': uuids.instance,
'device_name': '/dev/sdb1',
'source_type': 'blank',
'destination_type': 'local',
'delete_on_termination': True,
'guest_format': 'swap',
'boot_index': -1},
{'id': 2, 'instance_uuid': uuids.instance,
'device_name': '/dev/sdc1',
'source_type': 'blank',
'destination_type': 'local',
'delete_on_termination': True,
'boot_index': -1},
{'id': 3, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda1',
'source_type': 'volume',
'destination_type': 'volume',
'uuid': 'fake-volume-id-1',
'boot_index': 0},
{'id': 4, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda2',
'source_type': 'snapshot',
'destination_type': 'volume',
'uuid': 'fake-snapshot-id-1',
'boot_index': -1},
{'id': 5, 'instance_uuid': uuids.instance,
'no_device': True,
'device_name': '/dev/vdc'},
]
self.new_mapping = [
BDM({'id': 1, 'instance_uuid': uuids.instance,
'device_name': '/dev/sdb1',
'source_type': 'blank',
'destination_type': 'local',
'delete_on_termination': True,
'guest_format': 'swap',
'boot_index': -1}),
BDM({'id': 2, 'instance_uuid': uuids.instance,
'device_name': '/dev/sdc1',
'source_type': 'blank',
'destination_type': 'local',
'delete_on_termination': True,
'boot_index': -1}),
BDM({'id': 3, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda1',
'source_type': 'volume',
'destination_type': 'volume',
'volume_id': 'fake-volume-id-1',
'connection_info': "{'fake': 'connection_info'}",
'boot_index': 0}),
BDM({'id': 4, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda2',
'source_type': 'snapshot',
'destination_type': 'volume',
'connection_info': "{'fake': 'connection_info'}",
'snapshot_id': 'fake-snapshot-id-1',
'volume_id': 'fake-volume-id-2',
'boot_index': -1}),
BDM({'id': 5, 'instance_uuid': uuids.instance,
'no_device': True,
'device_name': '/dev/vdc'}),
]
self.legacy_mapping = [
{'id': 1, 'instance_uuid': uuids.instance,
'device_name': '/dev/sdb1',
'delete_on_termination': True,
'virtual_name': 'swap'},
{'id': 2, 'instance_uuid': uuids.instance,
'device_name': '/dev/sdc1',
'delete_on_termination': True,
'virtual_name': 'ephemeral0'},
{'id': 3, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda1',
'volume_id': 'fake-volume-id-1',
'connection_info': "{'fake': 'connection_info'}"},
{'id': 4, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda2',
'connection_info': "{'fake': 'connection_info'}",
'snapshot_id': 'fake-snapshot-id-1',
'volume_id': 'fake-volume-id-2'},
{'id': 5, 'instance_uuid': uuids.instance,
'no_device': True,
'device_name': '/dev/vdc'},
]
self.new_mapping_source_image = [
BDM({'id': 6, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda3',
'source_type': 'image',
'destination_type': 'volume',
'connection_info': "{'fake': 'connection_info'}",
'volume_id': 'fake-volume-id-3',
'boot_index': -1}),
BDM({'id': 7, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda4',
'source_type': 'image',
'destination_type': 'local',
'connection_info': "{'fake': 'connection_info'}",
'image_id': 'fake-image-id-2',
'boot_index': -1}),
]
self.legacy_mapping_source_image = [
{'id': 6, 'instance_uuid': uuids.instance,
'device_name': '/dev/sda3',
'connection_info': "{'fake': 'connection_info'}",
'volume_id': 'fake-volume-id-3'},
]
def test_init(self):
def fake_validate(obj, dct):
pass
self.stub_out('nova.block_device.BlockDeviceDict._fields',
set(['field1', 'field2']))
self.stub_out('nova.block_device.BlockDeviceDict._db_only_fields',
set(['db_field1', 'db_field2']))
self.stub_out('nova.block_device.BlockDeviceDict._validate',
fake_validate)
# Make sure db fields are not picked up if they are not
# in the original dict
dev_dict = block_device.BlockDeviceDict({'field1': 'foo',
'field2': 'bar',
'db_field1': 'baz'})
self.assertIn('field1', dev_dict)
self.assertIn('field2', dev_dict)
self.assertIn('db_field1', dev_dict)
self.assertNotIn('db_field2', dev_dict)
# Make sure all expected fields are defaulted
dev_dict = block_device.BlockDeviceDict({'field1': 'foo'})
self.assertIn('field1', dev_dict)
self.assertIn('field2', dev_dict)
self.assertIsNone(dev_dict['field2'])
self.assertNotIn('db_field1', dev_dict)
self.assertNotIn('db_field2', dev_dict)
# Unless they are not meant to be
dev_dict = block_device.BlockDeviceDict({'field1': 'foo'},
do_not_default=set(['field2']))
self.assertIn('field1', dev_dict)
self.assertNotIn('field2', dev_dict)
self.assertNotIn('db_field1', dev_dict)
self.assertNotIn('db_field2', dev_dict)
# Passing kwargs to constructor works
dev_dict = block_device.BlockDeviceDict(field1='foo')
self.assertIn('field1', dev_dict)
self.assertIn('field2', dev_dict)
self.assertIsNone(dev_dict['field2'])
dev_dict = block_device.BlockDeviceDict(
{'field1': 'foo'}, field2='bar')
self.assertEqual('foo', dev_dict['field1'])
self.assertEqual('bar', dev_dict['field2'])
def test_init_prepend_dev_to_device_name(self):
bdm = {'id': 3, 'instance_uuid': uuids.instance,
'device_name': 'vda',
'source_type': 'volume',
'destination_type': 'volume',
'volume_id': 'fake-volume-id-1',
'boot_index': 0}
bdm_dict = block_device.BlockDeviceDict(bdm)
self.assertEqual('/dev/vda', bdm_dict['device_name'])
bdm['device_name'] = '/dev/vdb'
bdm_dict = block_device.BlockDeviceDict(bdm)
self.assertEqual('/dev/vdb', bdm_dict['device_name'])
bdm['device_name'] = None
bdm_dict = block_device.BlockDeviceDict(bdm)
self.assertIsNone(bdm_dict['device_name'])
def test_init_boolify_delete_on_termination(self):
# Make sure that when delete_on_termination is not passed it's
# still set to False and not None
bdm = {'id': 3, 'instance_uuid': uuids.instance,
'device_name': 'vda',
'source_type': 'volume',
'destination_type': 'volume',
'volume_id': 'fake-volume-id-1',
'boot_index': 0}
bdm_dict = block_device.BlockDeviceDict(bdm)
self.assertFalse(bdm_dict['delete_on_termination'])
def test_validate(self):
self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict,
{'bogus_field': 'lame_val'})
lame_bdm = dict(self.new_mapping[2])
del lame_bdm['source_type']
self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict,
lame_bdm)
lame_bdm['no_device'] = True
block_device.BlockDeviceDict(lame_bdm)
lame_dev_bdm = dict(self.new_mapping[2])
lame_dev_bdm['device_name'] = "not a valid name"
self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict,
lame_dev_bdm)
lame_dev_bdm['device_name'] = ""
self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict,
lame_dev_bdm)
cool_volume_size_bdm = dict(self.new_mapping[2])
cool_volume_size_bdm['volume_size'] = '42'
cool_volume_size_bdm = block_device.BlockDeviceDict(
cool_volume_size_bdm)
self.assertEqual(42, cool_volume_size_bdm['volume_size'])
lame_volume_size_bdm = dict(self.new_mapping[2])
lame_volume_size_bdm['volume_size'] = 'some_non_int_string'
self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict,
lame_volume_size_bdm)
truthy_bdm = dict(self.new_mapping[2])
truthy_bdm['delete_on_termination'] = '1'
truthy_bdm = block_device.BlockDeviceDict(truthy_bdm)
self.assertTrue(truthy_bdm['delete_on_termination'])
verbose_bdm = dict(self.new_mapping[2])
verbose_bdm['boot_index'] = 'first'
self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict,
verbose_bdm)
def test_from_legacy(self):
for legacy, new in zip(self.legacy_mapping, self.new_mapping):
self.assertThat(
block_device.BlockDeviceDict.from_legacy(legacy),
matchers.IsSubDictOf(new))
def test_from_legacy_mapping(self):
def _get_image_bdms(bdms):
return [bdm for bdm in bdms if bdm['source_type'] == 'image']
def _get_bootable_bdms(bdms):
return [bdm for bdm in bdms
if (bdm['boot_index'] is not None and
bdm['boot_index'] >= 0)]
new_no_img = block_device.from_legacy_mapping(self.legacy_mapping)
self.assertEqual(0, len(_get_image_bdms(new_no_img)))
for new, expected in zip(new_no_img, self.new_mapping):
self.assertThat(new, matchers.IsSubDictOf(expected))
new_with_img = block_device.from_legacy_mapping(
self.legacy_mapping, 'fake_image_ref')
image_bdms = _get_image_bdms(new_with_img)
boot_bdms = _get_bootable_bdms(new_with_img)
self.assertEqual(1, len(image_bdms))
self.assertEqual(1, len(boot_bdms))
self.assertEqual(0, image_bdms[0]['boot_index'])
self.assertEqual('image', boot_bdms[0]['source_type'])
new_with_img_and_root = block_device.from_legacy_mapping(
self.legacy_mapping, 'fake_image_ref', 'sda1')
image_bdms = _get_image_bdms(new_with_img_and_root)
boot_bdms = _get_bootable_bdms(new_with_img_and_root)
self.assertEqual(0, len(image_bdms))
self.assertEqual(1, len(boot_bdms))
self.assertEqual(0, boot_bdms[0]['boot_index'])
self.assertEqual('volume', boot_bdms[0]['source_type'])
new_no_root = block_device.from_legacy_mapping(
self.legacy_mapping, 'fake_image_ref', 'sda1', no_root=True)
self.assertEqual(0, len(_get_image_bdms(new_no_root)))
self.assertEqual(0, len(_get_bootable_bdms(new_no_root)))
def test_from_api(self):
for api, new in zip(self.api_mapping, self.new_mapping):
new['connection_info'] = None
if new['snapshot_id']:
new['volume_id'] = None
self.assertThat(
block_device.BlockDeviceDict.from_api(api, False),
matchers.IsSubDictOf(new))
def test_from_api_invalid_blank_id(self):
api_dict = {'id': 1,
'source_type': 'blank',
'destination_type': 'volume',
'uuid': 'fake-volume-id-1',
'delete_on_termination': True,
'boot_index': -1}
self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict.from_api, api_dict,
False)
def test_from_api_invalid_source_to_local_mapping(self):
api_dict = {'id': 1,
'source_type': 'image',
'destination_type': 'local',
'uuid': 'fake-volume-id-1'}
self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict.from_api, api_dict,
False)
def test_from_api_valid_source_to_local_mapping(self):
api_dict = {'id': 1,
'source_type': 'image',
'destination_type': 'local',
'volume_id': 'fake-volume-id-1',
'uuid': 1,
'boot_index': 0}
retexp = block_device.BlockDeviceDict(
{'id': 1,
'source_type': 'image',
'image_id': 1,
'destination_type': 'local',
'volume_id': 'fake-volume-id-1',
'boot_index': 0})
self.assertEqual(retexp,
block_device.BlockDeviceDict.from_api(api_dict, True))
def test_from_api_valid_source_to_local_mapping_with_string_bi(self):
api_dict = {'id': 1,
'source_type': 'image',
'destination_type': 'local',
'volume_id': 'fake-volume-id-1',
'uuid': 1,
'boot_index': '0'}
retexp = block_device.BlockDeviceDict(
{'id': 1,
'source_type': 'image',
'image_id': 1,
'destination_type': 'local',
'volume_id': 'fake-volume-id-1',
'boot_index': 0})
self.assertEqual(retexp,
block_device.BlockDeviceDict.from_api(api_dict, True))
def test_from_api_invalid_image_to_destination_local_mapping(self):
api_dict = {'id': 1,
'source_type': 'image',
'destination_type': 'local',
'uuid': 'fake-volume-id-1',
'volume_type': 'fake-lvm-1',
'boot_index': 1}
ex = self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict.from_api,
api_dict, False)
self.assertIn('Mapping image to local is not supported', str(ex))
def test_from_api_invalid_volume_type_to_destination_local_mapping(self):
api_dict = {'id': 1,
'source_type': 'volume',
'destination_type': 'local',
'uuid': 'fake-volume-id-1',
'volume_type': 'fake-lvm-1'}
ex = self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict.from_api,
api_dict, False)
self.assertIn('Specifying a volume_type with destination_type=local '
'is not supported', str(ex))
def test_from_api_invalid_specify_volume_type_with_source_volume_mapping(
self):
api_dict = {'id': 1,
'source_type': 'volume',
'destination_type': 'volume',
'uuid': 'fake-volume-id-1',
'volume_type': 'fake-lvm-1'}
ex = self.assertRaises(exception.InvalidBDMFormat,
block_device.BlockDeviceDict.from_api,
api_dict, False)
self.assertIn('Specifying volume type to existing volume is '
'not supported', str(ex))
def test_image_mapping(self):
removed_fields = ['id', 'instance_uuid', 'connection_info',
'created_at', 'updated_at', 'deleted_at', 'deleted']
for bdm in self.new_mapping:
mapping_bdm = fake_block_device.FakeDbBlockDeviceDict(
bdm).get_image_mapping()
for fld in removed_fields:
self.assertNotIn(fld, mapping_bdm)
def _test_snapshot_from_bdm(self, template):
snapshot = block_device.snapshot_from_bdm('new-snapshot-id', template)
self.assertEqual('new-snapshot-id', snapshot['snapshot_id'])
self.assertEqual('snapshot', snapshot['source_type'])
self.assertEqual('volume', snapshot['destination_type'])
self.assertEqual(template.volume_size, snapshot['volume_size'])
self.assertEqual(template.delete_on_termination,
snapshot['delete_on_termination'])
self.assertEqual(template.device_name, snapshot['device_name'])
for key in ['disk_bus', 'device_type', 'boot_index']:
self.assertEqual(template[key], snapshot[key])
def test_snapshot_from_bdm(self):
for bdm in self.new_mapping:
self._test_snapshot_from_bdm(objects.BlockDeviceMapping(**bdm))
def test_snapshot_from_object(self):
for bdm in self.new_mapping[:-1]:
obj = objects.BlockDeviceMapping()
obj = objects.BlockDeviceMapping._from_db_object(
None, obj, fake_block_device.FakeDbBlockDeviceDict(
bdm))
self._test_snapshot_from_bdm(obj)
class GetBDMImageMetadataTestCase(test.NoDBTestCase):
def setUp(self):
super().setUp()
self.compute_api = compute_api.API()
self.context = context.RequestContext('fake', 'fake')
def _test_get_bdm_image_metadata__bootable(self, is_bootable=False):
block_device_mapping = [{
'id': 1,
'device_name': 'vda',
'no_device': None,
'virtual_name': None,
'snapshot_id': None,
'volume_id': '1',
'delete_on_termination': False,
}]
expected_meta = {
'min_disk': 0, 'min_ram': 0, 'properties': {}, 'size': 0,
'status': 'active',
}
def get_vol_data(*args, **kwargs):
return {'bootable': is_bootable}
with mock.patch.object(
self.compute_api.volume_api, 'get', side_effect=get_vol_data,
):
if not is_bootable:
self.assertRaises(
exception.InvalidBDMVolumeNotBootable,
block_device.get_bdm_image_metadata,
self.context,
self.compute_api.image_api,
self.compute_api.volume_api,
block_device_mapping)
else:
meta = block_device.get_bdm_image_metadata(
self.context, self.compute_api.image_api,
self.compute_api.volume_api, block_device_mapping)
self.assertEqual(expected_meta, meta)
def test_get_bdm_image_metadata__non_bootable(self):
self._test_get_bdm_image_metadata__bootable(False)
def test_get_bdm_image_metadata__bootable(self):
self._test_get_bdm_image_metadata__bootable(True)
def test_get_bdm_image_metadata__basic_property(self):
block_device_mapping = [{
'id': 1,
'device_name': 'vda',
'no_device': None,
'virtual_name': None,
'snapshot_id': None,
'volume_id': '1',
'delete_on_termination': False,
}]
fake_volume = {
'volume_image_metadata': {
'min_ram': 256, 'min_disk': 128, 'foo': 'bar',
},
}
with mock.patch.object(
self.compute_api.volume_api, 'get', return_value=fake_volume,
):
meta = block_device.get_bdm_image_metadata(
self.context, self.compute_api.image_api,
self.compute_api.volume_api, block_device_mapping)
self.assertEqual(256, meta['min_ram'])
self.assertEqual(128, meta['min_disk'])
self.assertEqual('active', meta['status'])
self.assertEqual('bar', meta['properties']['foo'])
def test_get_bdm_image_metadata__snapshot_basic_property(self):
block_device_mapping = [{
'id': 1,
'device_name': 'vda',
'no_device': None,
'virtual_name': None,
'snapshot_id': '2',
'volume_id': None,
'delete_on_termination': False,
}]
fake_volume = {
'volume_image_metadata': {
'min_ram': 256, 'min_disk': 128, 'foo': 'bar',
},
}
fake_snapshot = {'volume_id': '1'}
with test.nested(
mock.patch.object(
self.compute_api.volume_api, 'get',
return_value=fake_volume),
mock.patch.object(
self.compute_api.volume_api, 'get_snapshot',
return_value=fake_snapshot),
) as (volume_get, volume_get_snapshot):
meta = block_device.get_bdm_image_metadata(
self.context, self.compute_api.image_api,
self.compute_api.volume_api, block_device_mapping)
self.assertEqual(256, meta['min_ram'])
self.assertEqual(128, meta['min_disk'])
self.assertEqual('active', meta['status'])
self.assertEqual('bar', meta['properties']['foo'])
volume_get_snapshot.assert_called_once_with(
self.context, block_device_mapping[0]['snapshot_id'])
volume_get.assert_called_once_with(
self.context, fake_snapshot['volume_id'])
@mock.patch.object(
cinder.API, 'get',
side_effect=exception.CinderConnectionFailed(reason='error'))
def test_get_bdm_image_metadata__cinder_down(self, mock_get):
bdms = [
objects.BlockDeviceMapping(
**fake_block_device.FakeDbBlockDeviceDict({
'id': 1,
'volume_id': 1,
'source_type': 'volume',
'destination_type': 'volume',
'device_name': 'vda',
})
)
]
self.assertRaises(
exception.CinderConnectionFailed,
block_device.get_bdm_image_metadata,
self.context,
self.compute_api.image_api,
self.compute_api.volume_api,
bdms, legacy_bdm=True)
class GetImageMetadataFromVolumeTestCase(test.NoDBTestCase):
def test_inherit_image_properties(self):
properties = {'fake_prop': 'fake_value'}
volume = {'volume_image_metadata': properties}
image_meta = block_device.get_image_metadata_from_volume(volume)
self.assertEqual(properties, image_meta['properties'])
def test_image_size(self):
volume = {'size': 10}
image_meta = block_device.get_image_metadata_from_volume(volume)
self.assertEqual(10 * units.Gi, image_meta['size'])
def test_image_status(self):
volume = {}
image_meta = block_device.get_image_metadata_from_volume(volume)
self.assertEqual('active', image_meta['status'])
def test_values_conversion(self):
properties = {'min_ram': '5', 'min_disk': '7'}
volume = {'volume_image_metadata': properties}
image_meta = block_device.get_image_metadata_from_volume(volume)
self.assertEqual(5, image_meta['min_ram'])
self.assertEqual(7, image_meta['min_disk'])
def test_suppress_not_image_properties(self):
properties = {
'min_ram': '256', 'min_disk': '128', 'image_id': 'fake_id',
'image_name': 'fake_name', 'container_format': 'ami',
'disk_format': 'ami', 'size': '1234', 'checksum': 'fake_checksum',
}
volume = {'volume_image_metadata': properties}
image_meta = block_device.get_image_metadata_from_volume(volume)
self.assertEqual({}, image_meta['properties'])
self.assertEqual(0, image_meta['size'])
# volume's properties should not be touched
self.assertNotEqual({}, properties)
|
normal
|
{
"blob_id": "d56e313318635788ae5b3d3a3f767450ab2f2296",
"index": 4985,
"step-1": "<mask token>\n\n\nclass BlockDeviceTestCase(test.NoDBTestCase):\n <mask token>\n\n def test_properties(self):\n root_device0 = '/dev/sda'\n root_device1 = '/dev/sdb'\n mappings = [{'virtual': 'root', 'device': root_device0}]\n properties0 = {'mappings': mappings}\n properties1 = {'mappings': mappings, 'root_device_name': root_device1}\n self.assertIsNone(block_device.properties_root_device_name({}))\n self.assertEqual(root_device0, block_device.\n properties_root_device_name(properties0))\n self.assertEqual(root_device1, block_device.\n properties_root_device_name(properties1))\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def test_validate_device_name(self):\n for value in [' ', 10, None, 'a' * 260]:\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n validate_device_name, value)\n <mask token>\n <mask token>\n\n\nclass TestBlockDeviceDict(test.NoDBTestCase):\n\n def setUp(self):\n super(TestBlockDeviceDict, self).setUp()\n BDM = block_device.BlockDeviceDict\n self.api_mapping = [{'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'source_type': 'blank',\n 'destination_type': 'local', 'delete_on_termination': True,\n 'guest_format': 'swap', 'boot_index': -1}, {'id': 2,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sdc1',\n 'source_type': 'blank', 'destination_type': 'local',\n 'delete_on_termination': True, 'boot_index': -1}, {'id': 3,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda1',\n 'source_type': 'volume', 'destination_type': 'volume', 'uuid':\n 'fake-volume-id-1', 'boot_index': 0}, {'id': 4, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda2', 'source_type':\n 'snapshot', 'destination_type': 'volume', 'uuid':\n 'fake-snapshot-id-1', 'boot_index': -1}, {'id': 5,\n 'instance_uuid': uuids.instance, 'no_device': True,\n 'device_name': '/dev/vdc'}]\n self.new_mapping = [BDM({'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'source_type': 'blank',\n 'destination_type': 'local', 'delete_on_termination': True,\n 'guest_format': 'swap', 'boot_index': -1}), BDM({'id': 2,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sdc1',\n 'source_type': 'blank', 'destination_type': 'local',\n 'delete_on_termination': True, 'boot_index': -1}), BDM({'id': 3,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda1',\n 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'connection_info':\n \"{'fake': 'connection_info'}\", 'boot_index': 0}), BDM({'id': 4,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda2',\n 'source_type': 'snapshot', 'destination_type': 'volume',\n 'connection_info': \"{'fake': 'connection_info'}\", 'snapshot_id':\n 'fake-snapshot-id-1', 'volume_id': 'fake-volume-id-2',\n 'boot_index': -1}), BDM({'id': 5, 'instance_uuid': uuids.\n instance, 'no_device': True, 'device_name': '/dev/vdc'})]\n self.legacy_mapping = [{'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'delete_on_termination': True,\n 'virtual_name': 'swap'}, {'id': 2, 'instance_uuid': uuids.\n instance, 'device_name': '/dev/sdc1', 'delete_on_termination': \n True, 'virtual_name': 'ephemeral0'}, {'id': 3, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda1', 'volume_id':\n 'fake-volume-id-1', 'connection_info':\n \"{'fake': 'connection_info'}\"}, {'id': 4, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda2', 'connection_info':\n \"{'fake': 'connection_info'}\", 'snapshot_id':\n 'fake-snapshot-id-1', 'volume_id': 'fake-volume-id-2'}, {'id': \n 5, 'instance_uuid': uuids.instance, 'no_device': True,\n 'device_name': '/dev/vdc'}]\n self.new_mapping_source_image = [BDM({'id': 6, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda3', 'source_type':\n 'image', 'destination_type': 'volume', 'connection_info':\n \"{'fake': 'connection_info'}\", 'volume_id': 'fake-volume-id-3',\n 'boot_index': -1}), BDM({'id': 7, 'instance_uuid': uuids.\n instance, 'device_name': '/dev/sda4', 'source_type': 'image',\n 'destination_type': 'local', 'connection_info':\n \"{'fake': 'connection_info'}\", 'image_id': 'fake-image-id-2',\n 'boot_index': -1})]\n self.legacy_mapping_source_image = [{'id': 6, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda3', 'connection_info':\n \"{'fake': 'connection_info'}\", 'volume_id': 'fake-volume-id-3'}]\n\n def test_init(self):\n\n def fake_validate(obj, dct):\n pass\n self.stub_out('nova.block_device.BlockDeviceDict._fields', set([\n 'field1', 'field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._db_only_fields',\n set(['db_field1', 'db_field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._validate',\n fake_validate)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo', 'field2':\n 'bar', 'db_field1': 'baz'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'},\n do_not_default=set(['field2']))\n self.assertIn('field1', dev_dict)\n self.assertNotIn('field2', dev_dict)\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict(field1='foo')\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'}, field2='bar'\n )\n self.assertEqual('foo', dev_dict['field1'])\n self.assertEqual('bar', dev_dict['field2'])\n\n def test_init_prepend_dev_to_device_name(self):\n bdm = {'id': 3, 'instance_uuid': uuids.instance, 'device_name':\n 'vda', 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vda', bdm_dict['device_name'])\n bdm['device_name'] = '/dev/vdb'\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vdb', bdm_dict['device_name'])\n bdm['device_name'] = None\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertIsNone(bdm_dict['device_name'])\n\n def test_init_boolify_delete_on_termination(self):\n bdm = {'id': 3, 'instance_uuid': uuids.instance, 'device_name':\n 'vda', 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertFalse(bdm_dict['delete_on_termination'])\n\n def test_validate(self):\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, {'bogus_field': 'lame_val'})\n lame_bdm = dict(self.new_mapping[2])\n del lame_bdm['source_type']\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_bdm)\n lame_bdm['no_device'] = True\n block_device.BlockDeviceDict(lame_bdm)\n lame_dev_bdm = dict(self.new_mapping[2])\n lame_dev_bdm['device_name'] = 'not a valid name'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_dev_bdm)\n lame_dev_bdm['device_name'] = ''\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_dev_bdm)\n cool_volume_size_bdm = dict(self.new_mapping[2])\n cool_volume_size_bdm['volume_size'] = '42'\n cool_volume_size_bdm = block_device.BlockDeviceDict(\n cool_volume_size_bdm)\n self.assertEqual(42, cool_volume_size_bdm['volume_size'])\n lame_volume_size_bdm = dict(self.new_mapping[2])\n lame_volume_size_bdm['volume_size'] = 'some_non_int_string'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_volume_size_bdm)\n truthy_bdm = dict(self.new_mapping[2])\n truthy_bdm['delete_on_termination'] = '1'\n truthy_bdm = block_device.BlockDeviceDict(truthy_bdm)\n self.assertTrue(truthy_bdm['delete_on_termination'])\n verbose_bdm = dict(self.new_mapping[2])\n verbose_bdm['boot_index'] = 'first'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, verbose_bdm)\n\n def test_from_legacy(self):\n for legacy, new in zip(self.legacy_mapping, self.new_mapping):\n self.assertThat(block_device.BlockDeviceDict.from_legacy(legacy\n ), matchers.IsSubDictOf(new))\n\n def test_from_legacy_mapping(self):\n\n def _get_image_bdms(bdms):\n return [bdm for bdm in bdms if bdm['source_type'] == 'image']\n\n def _get_bootable_bdms(bdms):\n return [bdm for bdm in bdms if bdm['boot_index'] is not None and\n bdm['boot_index'] >= 0]\n new_no_img = block_device.from_legacy_mapping(self.legacy_mapping)\n self.assertEqual(0, len(_get_image_bdms(new_no_img)))\n for new, expected in zip(new_no_img, self.new_mapping):\n self.assertThat(new, matchers.IsSubDictOf(expected))\n new_with_img = block_device.from_legacy_mapping(self.legacy_mapping,\n 'fake_image_ref')\n image_bdms = _get_image_bdms(new_with_img)\n boot_bdms = _get_bootable_bdms(new_with_img)\n self.assertEqual(1, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, image_bdms[0]['boot_index'])\n self.assertEqual('image', boot_bdms[0]['source_type'])\n new_with_img_and_root = block_device.from_legacy_mapping(self.\n legacy_mapping, 'fake_image_ref', 'sda1')\n image_bdms = _get_image_bdms(new_with_img_and_root)\n boot_bdms = _get_bootable_bdms(new_with_img_and_root)\n self.assertEqual(0, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, boot_bdms[0]['boot_index'])\n self.assertEqual('volume', boot_bdms[0]['source_type'])\n new_no_root = block_device.from_legacy_mapping(self.legacy_mapping,\n 'fake_image_ref', 'sda1', no_root=True)\n self.assertEqual(0, len(_get_image_bdms(new_no_root)))\n self.assertEqual(0, len(_get_bootable_bdms(new_no_root)))\n\n def test_from_api(self):\n for api, new in zip(self.api_mapping, self.new_mapping):\n new['connection_info'] = None\n if new['snapshot_id']:\n new['volume_id'] = None\n self.assertThat(block_device.BlockDeviceDict.from_api(api, \n False), matchers.IsSubDictOf(new))\n\n def test_from_api_invalid_blank_id(self):\n api_dict = {'id': 1, 'source_type': 'blank', 'destination_type':\n 'volume', 'uuid': 'fake-volume-id-1', 'delete_on_termination': \n True, 'boot_index': -1}\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n\n def test_from_api_invalid_source_to_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1'}\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n\n def test_from_api_valid_source_to_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'volume_id': 'fake-volume-id-1', 'uuid': 1,\n 'boot_index': 0}\n retexp = block_device.BlockDeviceDict({'id': 1, 'source_type':\n 'image', 'image_id': 1, 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0})\n self.assertEqual(retexp, block_device.BlockDeviceDict.from_api(\n api_dict, True))\n\n def test_from_api_valid_source_to_local_mapping_with_string_bi(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'volume_id': 'fake-volume-id-1', 'uuid': 1,\n 'boot_index': '0'}\n retexp = block_device.BlockDeviceDict({'id': 1, 'source_type':\n 'image', 'image_id': 1, 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0})\n self.assertEqual(retexp, block_device.BlockDeviceDict.from_api(\n api_dict, True))\n\n def test_from_api_invalid_image_to_destination_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1', 'volume_type':\n 'fake-lvm-1', 'boot_index': 1}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn('Mapping image to local is not supported', str(ex))\n\n def test_from_api_invalid_volume_type_to_destination_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'volume', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1', 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn(\n 'Specifying a volume_type with destination_type=local is not supported'\n , str(ex))\n\n def test_from_api_invalid_specify_volume_type_with_source_volume_mapping(\n self):\n api_dict = {'id': 1, 'source_type': 'volume', 'destination_type':\n 'volume', 'uuid': 'fake-volume-id-1', 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn(\n 'Specifying volume type to existing volume is not supported',\n str(ex))\n\n def test_image_mapping(self):\n removed_fields = ['id', 'instance_uuid', 'connection_info',\n 'created_at', 'updated_at', 'deleted_at', 'deleted']\n for bdm in self.new_mapping:\n mapping_bdm = fake_block_device.FakeDbBlockDeviceDict(bdm\n ).get_image_mapping()\n for fld in removed_fields:\n self.assertNotIn(fld, mapping_bdm)\n\n def _test_snapshot_from_bdm(self, template):\n snapshot = block_device.snapshot_from_bdm('new-snapshot-id', template)\n self.assertEqual('new-snapshot-id', snapshot['snapshot_id'])\n self.assertEqual('snapshot', snapshot['source_type'])\n self.assertEqual('volume', snapshot['destination_type'])\n self.assertEqual(template.volume_size, snapshot['volume_size'])\n self.assertEqual(template.delete_on_termination, snapshot[\n 'delete_on_termination'])\n self.assertEqual(template.device_name, snapshot['device_name'])\n for key in ['disk_bus', 'device_type', 'boot_index']:\n self.assertEqual(template[key], snapshot[key])\n\n def test_snapshot_from_bdm(self):\n for bdm in self.new_mapping:\n self._test_snapshot_from_bdm(objects.BlockDeviceMapping(**bdm))\n\n def test_snapshot_from_object(self):\n for bdm in self.new_mapping[:-1]:\n obj = objects.BlockDeviceMapping()\n obj = objects.BlockDeviceMapping._from_db_object(None, obj,\n fake_block_device.FakeDbBlockDeviceDict(bdm))\n self._test_snapshot_from_bdm(obj)\n\n\nclass GetBDMImageMetadataTestCase(test.NoDBTestCase):\n\n def setUp(self):\n super().setUp()\n self.compute_api = compute_api.API()\n self.context = context.RequestContext('fake', 'fake')\n\n def _test_get_bdm_image_metadata__bootable(self, is_bootable=False):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': None, 'volume_id':\n '1', 'delete_on_termination': False}]\n expected_meta = {'min_disk': 0, 'min_ram': 0, 'properties': {},\n 'size': 0, 'status': 'active'}\n\n def get_vol_data(*args, **kwargs):\n return {'bootable': is_bootable}\n with mock.patch.object(self.compute_api.volume_api, 'get',\n side_effect=get_vol_data):\n if not is_bootable:\n self.assertRaises(exception.InvalidBDMVolumeNotBootable,\n block_device.get_bdm_image_metadata, self.context, self\n .compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n else:\n meta = block_device.get_bdm_image_metadata(self.context,\n self.compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(expected_meta, meta)\n\n def test_get_bdm_image_metadata__non_bootable(self):\n self._test_get_bdm_image_metadata__bootable(False)\n\n def test_get_bdm_image_metadata__bootable(self):\n self._test_get_bdm_image_metadata__bootable(True)\n\n def test_get_bdm_image_metadata__basic_property(self):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': None, 'volume_id':\n '1', 'delete_on_termination': False}]\n fake_volume = {'volume_image_metadata': {'min_ram': 256, 'min_disk':\n 128, 'foo': 'bar'}}\n with mock.patch.object(self.compute_api.volume_api, 'get',\n return_value=fake_volume):\n meta = block_device.get_bdm_image_metadata(self.context, self.\n compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n\n def test_get_bdm_image_metadata__snapshot_basic_property(self):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': '2', 'volume_id':\n None, 'delete_on_termination': False}]\n fake_volume = {'volume_image_metadata': {'min_ram': 256, 'min_disk':\n 128, 'foo': 'bar'}}\n fake_snapshot = {'volume_id': '1'}\n with test.nested(mock.patch.object(self.compute_api.volume_api,\n 'get', return_value=fake_volume), mock.patch.object(self.\n compute_api.volume_api, 'get_snapshot', return_value=fake_snapshot)\n ) as (volume_get, volume_get_snapshot):\n meta = block_device.get_bdm_image_metadata(self.context, self.\n compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n volume_get_snapshot.assert_called_once_with(self.context,\n block_device_mapping[0]['snapshot_id'])\n volume_get.assert_called_once_with(self.context, fake_snapshot[\n 'volume_id'])\n\n @mock.patch.object(cinder.API, 'get', side_effect=exception.\n CinderConnectionFailed(reason='error'))\n def test_get_bdm_image_metadata__cinder_down(self, mock_get):\n bdms = [objects.BlockDeviceMapping(**fake_block_device.\n FakeDbBlockDeviceDict({'id': 1, 'volume_id': 1, 'source_type':\n 'volume', 'destination_type': 'volume', 'device_name': 'vda'}))]\n self.assertRaises(exception.CinderConnectionFailed, block_device.\n get_bdm_image_metadata, self.context, self.compute_api.\n image_api, self.compute_api.volume_api, bdms, legacy_bdm=True)\n\n\nclass GetImageMetadataFromVolumeTestCase(test.NoDBTestCase):\n\n def test_inherit_image_properties(self):\n properties = {'fake_prop': 'fake_value'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(properties, image_meta['properties'])\n\n def test_image_size(self):\n volume = {'size': 10}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(10 * units.Gi, image_meta['size'])\n\n def test_image_status(self):\n volume = {}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual('active', image_meta['status'])\n\n def test_values_conversion(self):\n properties = {'min_ram': '5', 'min_disk': '7'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(5, image_meta['min_ram'])\n self.assertEqual(7, image_meta['min_disk'])\n\n def test_suppress_not_image_properties(self):\n properties = {'min_ram': '256', 'min_disk': '128', 'image_id':\n 'fake_id', 'image_name': 'fake_name', 'container_format': 'ami',\n 'disk_format': 'ami', 'size': '1234', 'checksum': 'fake_checksum'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual({}, image_meta['properties'])\n self.assertEqual(0, image_meta['size'])\n self.assertNotEqual({}, properties)\n",
"step-2": "<mask token>\n\n\nclass BlockDeviceTestCase(test.NoDBTestCase):\n <mask token>\n\n def test_properties(self):\n root_device0 = '/dev/sda'\n root_device1 = '/dev/sdb'\n mappings = [{'virtual': 'root', 'device': root_device0}]\n properties0 = {'mappings': mappings}\n properties1 = {'mappings': mappings, 'root_device_name': root_device1}\n self.assertIsNone(block_device.properties_root_device_name({}))\n self.assertEqual(root_device0, block_device.\n properties_root_device_name(properties0))\n self.assertEqual(root_device1, block_device.\n properties_root_device_name(properties1))\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def test_new_format_is_swap(self):\n expected_results = [True, False, False, False, False]\n for expected, bdm in zip(expected_results, self.new_mapping):\n res = block_device.new_format_is_swap(bdm)\n self.assertEqual(expected, res)\n <mask token>\n\n def test_validate_device_name(self):\n for value in [' ', 10, None, 'a' * 260]:\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n validate_device_name, value)\n <mask token>\n <mask token>\n\n\nclass TestBlockDeviceDict(test.NoDBTestCase):\n\n def setUp(self):\n super(TestBlockDeviceDict, self).setUp()\n BDM = block_device.BlockDeviceDict\n self.api_mapping = [{'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'source_type': 'blank',\n 'destination_type': 'local', 'delete_on_termination': True,\n 'guest_format': 'swap', 'boot_index': -1}, {'id': 2,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sdc1',\n 'source_type': 'blank', 'destination_type': 'local',\n 'delete_on_termination': True, 'boot_index': -1}, {'id': 3,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda1',\n 'source_type': 'volume', 'destination_type': 'volume', 'uuid':\n 'fake-volume-id-1', 'boot_index': 0}, {'id': 4, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda2', 'source_type':\n 'snapshot', 'destination_type': 'volume', 'uuid':\n 'fake-snapshot-id-1', 'boot_index': -1}, {'id': 5,\n 'instance_uuid': uuids.instance, 'no_device': True,\n 'device_name': '/dev/vdc'}]\n self.new_mapping = [BDM({'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'source_type': 'blank',\n 'destination_type': 'local', 'delete_on_termination': True,\n 'guest_format': 'swap', 'boot_index': -1}), BDM({'id': 2,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sdc1',\n 'source_type': 'blank', 'destination_type': 'local',\n 'delete_on_termination': True, 'boot_index': -1}), BDM({'id': 3,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda1',\n 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'connection_info':\n \"{'fake': 'connection_info'}\", 'boot_index': 0}), BDM({'id': 4,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda2',\n 'source_type': 'snapshot', 'destination_type': 'volume',\n 'connection_info': \"{'fake': 'connection_info'}\", 'snapshot_id':\n 'fake-snapshot-id-1', 'volume_id': 'fake-volume-id-2',\n 'boot_index': -1}), BDM({'id': 5, 'instance_uuid': uuids.\n instance, 'no_device': True, 'device_name': '/dev/vdc'})]\n self.legacy_mapping = [{'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'delete_on_termination': True,\n 'virtual_name': 'swap'}, {'id': 2, 'instance_uuid': uuids.\n instance, 'device_name': '/dev/sdc1', 'delete_on_termination': \n True, 'virtual_name': 'ephemeral0'}, {'id': 3, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda1', 'volume_id':\n 'fake-volume-id-1', 'connection_info':\n \"{'fake': 'connection_info'}\"}, {'id': 4, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda2', 'connection_info':\n \"{'fake': 'connection_info'}\", 'snapshot_id':\n 'fake-snapshot-id-1', 'volume_id': 'fake-volume-id-2'}, {'id': \n 5, 'instance_uuid': uuids.instance, 'no_device': True,\n 'device_name': '/dev/vdc'}]\n self.new_mapping_source_image = [BDM({'id': 6, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda3', 'source_type':\n 'image', 'destination_type': 'volume', 'connection_info':\n \"{'fake': 'connection_info'}\", 'volume_id': 'fake-volume-id-3',\n 'boot_index': -1}), BDM({'id': 7, 'instance_uuid': uuids.\n instance, 'device_name': '/dev/sda4', 'source_type': 'image',\n 'destination_type': 'local', 'connection_info':\n \"{'fake': 'connection_info'}\", 'image_id': 'fake-image-id-2',\n 'boot_index': -1})]\n self.legacy_mapping_source_image = [{'id': 6, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda3', 'connection_info':\n \"{'fake': 'connection_info'}\", 'volume_id': 'fake-volume-id-3'}]\n\n def test_init(self):\n\n def fake_validate(obj, dct):\n pass\n self.stub_out('nova.block_device.BlockDeviceDict._fields', set([\n 'field1', 'field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._db_only_fields',\n set(['db_field1', 'db_field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._validate',\n fake_validate)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo', 'field2':\n 'bar', 'db_field1': 'baz'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'},\n do_not_default=set(['field2']))\n self.assertIn('field1', dev_dict)\n self.assertNotIn('field2', dev_dict)\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict(field1='foo')\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'}, field2='bar'\n )\n self.assertEqual('foo', dev_dict['field1'])\n self.assertEqual('bar', dev_dict['field2'])\n\n def test_init_prepend_dev_to_device_name(self):\n bdm = {'id': 3, 'instance_uuid': uuids.instance, 'device_name':\n 'vda', 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vda', bdm_dict['device_name'])\n bdm['device_name'] = '/dev/vdb'\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vdb', bdm_dict['device_name'])\n bdm['device_name'] = None\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertIsNone(bdm_dict['device_name'])\n\n def test_init_boolify_delete_on_termination(self):\n bdm = {'id': 3, 'instance_uuid': uuids.instance, 'device_name':\n 'vda', 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertFalse(bdm_dict['delete_on_termination'])\n\n def test_validate(self):\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, {'bogus_field': 'lame_val'})\n lame_bdm = dict(self.new_mapping[2])\n del lame_bdm['source_type']\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_bdm)\n lame_bdm['no_device'] = True\n block_device.BlockDeviceDict(lame_bdm)\n lame_dev_bdm = dict(self.new_mapping[2])\n lame_dev_bdm['device_name'] = 'not a valid name'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_dev_bdm)\n lame_dev_bdm['device_name'] = ''\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_dev_bdm)\n cool_volume_size_bdm = dict(self.new_mapping[2])\n cool_volume_size_bdm['volume_size'] = '42'\n cool_volume_size_bdm = block_device.BlockDeviceDict(\n cool_volume_size_bdm)\n self.assertEqual(42, cool_volume_size_bdm['volume_size'])\n lame_volume_size_bdm = dict(self.new_mapping[2])\n lame_volume_size_bdm['volume_size'] = 'some_non_int_string'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_volume_size_bdm)\n truthy_bdm = dict(self.new_mapping[2])\n truthy_bdm['delete_on_termination'] = '1'\n truthy_bdm = block_device.BlockDeviceDict(truthy_bdm)\n self.assertTrue(truthy_bdm['delete_on_termination'])\n verbose_bdm = dict(self.new_mapping[2])\n verbose_bdm['boot_index'] = 'first'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, verbose_bdm)\n\n def test_from_legacy(self):\n for legacy, new in zip(self.legacy_mapping, self.new_mapping):\n self.assertThat(block_device.BlockDeviceDict.from_legacy(legacy\n ), matchers.IsSubDictOf(new))\n\n def test_from_legacy_mapping(self):\n\n def _get_image_bdms(bdms):\n return [bdm for bdm in bdms if bdm['source_type'] == 'image']\n\n def _get_bootable_bdms(bdms):\n return [bdm for bdm in bdms if bdm['boot_index'] is not None and\n bdm['boot_index'] >= 0]\n new_no_img = block_device.from_legacy_mapping(self.legacy_mapping)\n self.assertEqual(0, len(_get_image_bdms(new_no_img)))\n for new, expected in zip(new_no_img, self.new_mapping):\n self.assertThat(new, matchers.IsSubDictOf(expected))\n new_with_img = block_device.from_legacy_mapping(self.legacy_mapping,\n 'fake_image_ref')\n image_bdms = _get_image_bdms(new_with_img)\n boot_bdms = _get_bootable_bdms(new_with_img)\n self.assertEqual(1, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, image_bdms[0]['boot_index'])\n self.assertEqual('image', boot_bdms[0]['source_type'])\n new_with_img_and_root = block_device.from_legacy_mapping(self.\n legacy_mapping, 'fake_image_ref', 'sda1')\n image_bdms = _get_image_bdms(new_with_img_and_root)\n boot_bdms = _get_bootable_bdms(new_with_img_and_root)\n self.assertEqual(0, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, boot_bdms[0]['boot_index'])\n self.assertEqual('volume', boot_bdms[0]['source_type'])\n new_no_root = block_device.from_legacy_mapping(self.legacy_mapping,\n 'fake_image_ref', 'sda1', no_root=True)\n self.assertEqual(0, len(_get_image_bdms(new_no_root)))\n self.assertEqual(0, len(_get_bootable_bdms(new_no_root)))\n\n def test_from_api(self):\n for api, new in zip(self.api_mapping, self.new_mapping):\n new['connection_info'] = None\n if new['snapshot_id']:\n new['volume_id'] = None\n self.assertThat(block_device.BlockDeviceDict.from_api(api, \n False), matchers.IsSubDictOf(new))\n\n def test_from_api_invalid_blank_id(self):\n api_dict = {'id': 1, 'source_type': 'blank', 'destination_type':\n 'volume', 'uuid': 'fake-volume-id-1', 'delete_on_termination': \n True, 'boot_index': -1}\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n\n def test_from_api_invalid_source_to_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1'}\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n\n def test_from_api_valid_source_to_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'volume_id': 'fake-volume-id-1', 'uuid': 1,\n 'boot_index': 0}\n retexp = block_device.BlockDeviceDict({'id': 1, 'source_type':\n 'image', 'image_id': 1, 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0})\n self.assertEqual(retexp, block_device.BlockDeviceDict.from_api(\n api_dict, True))\n\n def test_from_api_valid_source_to_local_mapping_with_string_bi(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'volume_id': 'fake-volume-id-1', 'uuid': 1,\n 'boot_index': '0'}\n retexp = block_device.BlockDeviceDict({'id': 1, 'source_type':\n 'image', 'image_id': 1, 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0})\n self.assertEqual(retexp, block_device.BlockDeviceDict.from_api(\n api_dict, True))\n\n def test_from_api_invalid_image_to_destination_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1', 'volume_type':\n 'fake-lvm-1', 'boot_index': 1}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn('Mapping image to local is not supported', str(ex))\n\n def test_from_api_invalid_volume_type_to_destination_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'volume', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1', 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn(\n 'Specifying a volume_type with destination_type=local is not supported'\n , str(ex))\n\n def test_from_api_invalid_specify_volume_type_with_source_volume_mapping(\n self):\n api_dict = {'id': 1, 'source_type': 'volume', 'destination_type':\n 'volume', 'uuid': 'fake-volume-id-1', 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn(\n 'Specifying volume type to existing volume is not supported',\n str(ex))\n\n def test_image_mapping(self):\n removed_fields = ['id', 'instance_uuid', 'connection_info',\n 'created_at', 'updated_at', 'deleted_at', 'deleted']\n for bdm in self.new_mapping:\n mapping_bdm = fake_block_device.FakeDbBlockDeviceDict(bdm\n ).get_image_mapping()\n for fld in removed_fields:\n self.assertNotIn(fld, mapping_bdm)\n\n def _test_snapshot_from_bdm(self, template):\n snapshot = block_device.snapshot_from_bdm('new-snapshot-id', template)\n self.assertEqual('new-snapshot-id', snapshot['snapshot_id'])\n self.assertEqual('snapshot', snapshot['source_type'])\n self.assertEqual('volume', snapshot['destination_type'])\n self.assertEqual(template.volume_size, snapshot['volume_size'])\n self.assertEqual(template.delete_on_termination, snapshot[\n 'delete_on_termination'])\n self.assertEqual(template.device_name, snapshot['device_name'])\n for key in ['disk_bus', 'device_type', 'boot_index']:\n self.assertEqual(template[key], snapshot[key])\n\n def test_snapshot_from_bdm(self):\n for bdm in self.new_mapping:\n self._test_snapshot_from_bdm(objects.BlockDeviceMapping(**bdm))\n\n def test_snapshot_from_object(self):\n for bdm in self.new_mapping[:-1]:\n obj = objects.BlockDeviceMapping()\n obj = objects.BlockDeviceMapping._from_db_object(None, obj,\n fake_block_device.FakeDbBlockDeviceDict(bdm))\n self._test_snapshot_from_bdm(obj)\n\n\nclass GetBDMImageMetadataTestCase(test.NoDBTestCase):\n\n def setUp(self):\n super().setUp()\n self.compute_api = compute_api.API()\n self.context = context.RequestContext('fake', 'fake')\n\n def _test_get_bdm_image_metadata__bootable(self, is_bootable=False):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': None, 'volume_id':\n '1', 'delete_on_termination': False}]\n expected_meta = {'min_disk': 0, 'min_ram': 0, 'properties': {},\n 'size': 0, 'status': 'active'}\n\n def get_vol_data(*args, **kwargs):\n return {'bootable': is_bootable}\n with mock.patch.object(self.compute_api.volume_api, 'get',\n side_effect=get_vol_data):\n if not is_bootable:\n self.assertRaises(exception.InvalidBDMVolumeNotBootable,\n block_device.get_bdm_image_metadata, self.context, self\n .compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n else:\n meta = block_device.get_bdm_image_metadata(self.context,\n self.compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(expected_meta, meta)\n\n def test_get_bdm_image_metadata__non_bootable(self):\n self._test_get_bdm_image_metadata__bootable(False)\n\n def test_get_bdm_image_metadata__bootable(self):\n self._test_get_bdm_image_metadata__bootable(True)\n\n def test_get_bdm_image_metadata__basic_property(self):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': None, 'volume_id':\n '1', 'delete_on_termination': False}]\n fake_volume = {'volume_image_metadata': {'min_ram': 256, 'min_disk':\n 128, 'foo': 'bar'}}\n with mock.patch.object(self.compute_api.volume_api, 'get',\n return_value=fake_volume):\n meta = block_device.get_bdm_image_metadata(self.context, self.\n compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n\n def test_get_bdm_image_metadata__snapshot_basic_property(self):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': '2', 'volume_id':\n None, 'delete_on_termination': False}]\n fake_volume = {'volume_image_metadata': {'min_ram': 256, 'min_disk':\n 128, 'foo': 'bar'}}\n fake_snapshot = {'volume_id': '1'}\n with test.nested(mock.patch.object(self.compute_api.volume_api,\n 'get', return_value=fake_volume), mock.patch.object(self.\n compute_api.volume_api, 'get_snapshot', return_value=fake_snapshot)\n ) as (volume_get, volume_get_snapshot):\n meta = block_device.get_bdm_image_metadata(self.context, self.\n compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n volume_get_snapshot.assert_called_once_with(self.context,\n block_device_mapping[0]['snapshot_id'])\n volume_get.assert_called_once_with(self.context, fake_snapshot[\n 'volume_id'])\n\n @mock.patch.object(cinder.API, 'get', side_effect=exception.\n CinderConnectionFailed(reason='error'))\n def test_get_bdm_image_metadata__cinder_down(self, mock_get):\n bdms = [objects.BlockDeviceMapping(**fake_block_device.\n FakeDbBlockDeviceDict({'id': 1, 'volume_id': 1, 'source_type':\n 'volume', 'destination_type': 'volume', 'device_name': 'vda'}))]\n self.assertRaises(exception.CinderConnectionFailed, block_device.\n get_bdm_image_metadata, self.context, self.compute_api.\n image_api, self.compute_api.volume_api, bdms, legacy_bdm=True)\n\n\nclass GetImageMetadataFromVolumeTestCase(test.NoDBTestCase):\n\n def test_inherit_image_properties(self):\n properties = {'fake_prop': 'fake_value'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(properties, image_meta['properties'])\n\n def test_image_size(self):\n volume = {'size': 10}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(10 * units.Gi, image_meta['size'])\n\n def test_image_status(self):\n volume = {}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual('active', image_meta['status'])\n\n def test_values_conversion(self):\n properties = {'min_ram': '5', 'min_disk': '7'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(5, image_meta['min_ram'])\n self.assertEqual(7, image_meta['min_disk'])\n\n def test_suppress_not_image_properties(self):\n properties = {'min_ram': '256', 'min_disk': '128', 'image_id':\n 'fake_id', 'image_name': 'fake_name', 'container_format': 'ami',\n 'disk_format': 'ami', 'size': '1234', 'checksum': 'fake_checksum'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual({}, image_meta['properties'])\n self.assertEqual(0, image_meta['size'])\n self.assertNotEqual({}, properties)\n",
"step-3": "<mask token>\n\n\nclass BlockDeviceTestCase(test.NoDBTestCase):\n <mask token>\n\n def test_properties(self):\n root_device0 = '/dev/sda'\n root_device1 = '/dev/sdb'\n mappings = [{'virtual': 'root', 'device': root_device0}]\n properties0 = {'mappings': mappings}\n properties1 = {'mappings': mappings, 'root_device_name': root_device1}\n self.assertIsNone(block_device.properties_root_device_name({}))\n self.assertEqual(root_device0, block_device.\n properties_root_device_name(properties0))\n self.assertEqual(root_device1, block_device.\n properties_root_device_name(properties1))\n <mask token>\n <mask token>\n\n def test_strip_dev(self):\n self.assertEqual('sda', block_device.strip_dev('/dev/sda'))\n self.assertEqual('sda', block_device.strip_dev('sda'))\n self.assertIsNone(block_device.strip_dev(None))\n <mask token>\n\n def test_get_device_letter(self):\n self.assertEqual('', block_device.get_device_letter(''))\n self.assertEqual('a', block_device.get_device_letter('/dev/sda1'))\n self.assertEqual('b', block_device.get_device_letter('/dev/xvdb'))\n self.assertEqual('d', block_device.get_device_letter('/dev/d'))\n self.assertEqual('a', block_device.get_device_letter('a'))\n self.assertEqual('b', block_device.get_device_letter('sdb2'))\n self.assertEqual('c', block_device.get_device_letter('vdc'))\n self.assertEqual('c', block_device.get_device_letter('hdc'))\n self.assertIsNone(block_device.get_device_letter(None))\n\n def test_generate_device_name(self):\n expected = ('vda', ('vd', 0)), ('vdaa', ('vd', 26)), ('vdabc', (\n 'vd', 730)), ('vdidpok', ('vd', 4194304)), ('sdc', ('sd', 2)), (\n 'sdaa', ('sd', 26)), ('sdiw', ('sd', 256)), ('hdzz', ('hd', 701))\n for res, args in expected:\n self.assertEqual(res, block_device.generate_device_name(*args))\n <mask token>\n\n def test_get_root_bdm(self):\n root_bdm = {'device_name': 'vda', 'boot_index': 0}\n bdms = [root_bdm, {'device_name': 'vdb', 'boot_index': 1}, {\n 'device_name': 'vdc', 'boot_index': -1}, {'device_name': 'vdd'}]\n self.assertEqual(root_bdm, block_device.get_root_bdm(bdms))\n self.assertEqual(root_bdm, block_device.get_root_bdm([bdms[0]]))\n self.assertIsNone(block_device.get_root_bdm(bdms[1:]))\n self.assertIsNone(block_device.get_root_bdm(bdms[2:]))\n self.assertIsNone(block_device.get_root_bdm(bdms[3:]))\n self.assertIsNone(block_device.get_root_bdm([]))\n <mask token>\n <mask token>\n\n def test_get_bdm_local_disk_num(self):\n size = block_device.get_bdm_local_disk_num(self.new_mapping)\n self.assertEqual(2, size)\n\n def test_new_format_is_swap(self):\n expected_results = [True, False, False, False, False]\n for expected, bdm in zip(expected_results, self.new_mapping):\n res = block_device.new_format_is_swap(bdm)\n self.assertEqual(expected, res)\n <mask token>\n\n def test_validate_device_name(self):\n for value in [' ', 10, None, 'a' * 260]:\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n validate_device_name, value)\n <mask token>\n <mask token>\n\n\nclass TestBlockDeviceDict(test.NoDBTestCase):\n\n def setUp(self):\n super(TestBlockDeviceDict, self).setUp()\n BDM = block_device.BlockDeviceDict\n self.api_mapping = [{'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'source_type': 'blank',\n 'destination_type': 'local', 'delete_on_termination': True,\n 'guest_format': 'swap', 'boot_index': -1}, {'id': 2,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sdc1',\n 'source_type': 'blank', 'destination_type': 'local',\n 'delete_on_termination': True, 'boot_index': -1}, {'id': 3,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda1',\n 'source_type': 'volume', 'destination_type': 'volume', 'uuid':\n 'fake-volume-id-1', 'boot_index': 0}, {'id': 4, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda2', 'source_type':\n 'snapshot', 'destination_type': 'volume', 'uuid':\n 'fake-snapshot-id-1', 'boot_index': -1}, {'id': 5,\n 'instance_uuid': uuids.instance, 'no_device': True,\n 'device_name': '/dev/vdc'}]\n self.new_mapping = [BDM({'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'source_type': 'blank',\n 'destination_type': 'local', 'delete_on_termination': True,\n 'guest_format': 'swap', 'boot_index': -1}), BDM({'id': 2,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sdc1',\n 'source_type': 'blank', 'destination_type': 'local',\n 'delete_on_termination': True, 'boot_index': -1}), BDM({'id': 3,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda1',\n 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'connection_info':\n \"{'fake': 'connection_info'}\", 'boot_index': 0}), BDM({'id': 4,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda2',\n 'source_type': 'snapshot', 'destination_type': 'volume',\n 'connection_info': \"{'fake': 'connection_info'}\", 'snapshot_id':\n 'fake-snapshot-id-1', 'volume_id': 'fake-volume-id-2',\n 'boot_index': -1}), BDM({'id': 5, 'instance_uuid': uuids.\n instance, 'no_device': True, 'device_name': '/dev/vdc'})]\n self.legacy_mapping = [{'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'delete_on_termination': True,\n 'virtual_name': 'swap'}, {'id': 2, 'instance_uuid': uuids.\n instance, 'device_name': '/dev/sdc1', 'delete_on_termination': \n True, 'virtual_name': 'ephemeral0'}, {'id': 3, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda1', 'volume_id':\n 'fake-volume-id-1', 'connection_info':\n \"{'fake': 'connection_info'}\"}, {'id': 4, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda2', 'connection_info':\n \"{'fake': 'connection_info'}\", 'snapshot_id':\n 'fake-snapshot-id-1', 'volume_id': 'fake-volume-id-2'}, {'id': \n 5, 'instance_uuid': uuids.instance, 'no_device': True,\n 'device_name': '/dev/vdc'}]\n self.new_mapping_source_image = [BDM({'id': 6, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda3', 'source_type':\n 'image', 'destination_type': 'volume', 'connection_info':\n \"{'fake': 'connection_info'}\", 'volume_id': 'fake-volume-id-3',\n 'boot_index': -1}), BDM({'id': 7, 'instance_uuid': uuids.\n instance, 'device_name': '/dev/sda4', 'source_type': 'image',\n 'destination_type': 'local', 'connection_info':\n \"{'fake': 'connection_info'}\", 'image_id': 'fake-image-id-2',\n 'boot_index': -1})]\n self.legacy_mapping_source_image = [{'id': 6, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda3', 'connection_info':\n \"{'fake': 'connection_info'}\", 'volume_id': 'fake-volume-id-3'}]\n\n def test_init(self):\n\n def fake_validate(obj, dct):\n pass\n self.stub_out('nova.block_device.BlockDeviceDict._fields', set([\n 'field1', 'field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._db_only_fields',\n set(['db_field1', 'db_field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._validate',\n fake_validate)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo', 'field2':\n 'bar', 'db_field1': 'baz'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'},\n do_not_default=set(['field2']))\n self.assertIn('field1', dev_dict)\n self.assertNotIn('field2', dev_dict)\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict(field1='foo')\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'}, field2='bar'\n )\n self.assertEqual('foo', dev_dict['field1'])\n self.assertEqual('bar', dev_dict['field2'])\n\n def test_init_prepend_dev_to_device_name(self):\n bdm = {'id': 3, 'instance_uuid': uuids.instance, 'device_name':\n 'vda', 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vda', bdm_dict['device_name'])\n bdm['device_name'] = '/dev/vdb'\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vdb', bdm_dict['device_name'])\n bdm['device_name'] = None\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertIsNone(bdm_dict['device_name'])\n\n def test_init_boolify_delete_on_termination(self):\n bdm = {'id': 3, 'instance_uuid': uuids.instance, 'device_name':\n 'vda', 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertFalse(bdm_dict['delete_on_termination'])\n\n def test_validate(self):\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, {'bogus_field': 'lame_val'})\n lame_bdm = dict(self.new_mapping[2])\n del lame_bdm['source_type']\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_bdm)\n lame_bdm['no_device'] = True\n block_device.BlockDeviceDict(lame_bdm)\n lame_dev_bdm = dict(self.new_mapping[2])\n lame_dev_bdm['device_name'] = 'not a valid name'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_dev_bdm)\n lame_dev_bdm['device_name'] = ''\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_dev_bdm)\n cool_volume_size_bdm = dict(self.new_mapping[2])\n cool_volume_size_bdm['volume_size'] = '42'\n cool_volume_size_bdm = block_device.BlockDeviceDict(\n cool_volume_size_bdm)\n self.assertEqual(42, cool_volume_size_bdm['volume_size'])\n lame_volume_size_bdm = dict(self.new_mapping[2])\n lame_volume_size_bdm['volume_size'] = 'some_non_int_string'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_volume_size_bdm)\n truthy_bdm = dict(self.new_mapping[2])\n truthy_bdm['delete_on_termination'] = '1'\n truthy_bdm = block_device.BlockDeviceDict(truthy_bdm)\n self.assertTrue(truthy_bdm['delete_on_termination'])\n verbose_bdm = dict(self.new_mapping[2])\n verbose_bdm['boot_index'] = 'first'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, verbose_bdm)\n\n def test_from_legacy(self):\n for legacy, new in zip(self.legacy_mapping, self.new_mapping):\n self.assertThat(block_device.BlockDeviceDict.from_legacy(legacy\n ), matchers.IsSubDictOf(new))\n\n def test_from_legacy_mapping(self):\n\n def _get_image_bdms(bdms):\n return [bdm for bdm in bdms if bdm['source_type'] == 'image']\n\n def _get_bootable_bdms(bdms):\n return [bdm for bdm in bdms if bdm['boot_index'] is not None and\n bdm['boot_index'] >= 0]\n new_no_img = block_device.from_legacy_mapping(self.legacy_mapping)\n self.assertEqual(0, len(_get_image_bdms(new_no_img)))\n for new, expected in zip(new_no_img, self.new_mapping):\n self.assertThat(new, matchers.IsSubDictOf(expected))\n new_with_img = block_device.from_legacy_mapping(self.legacy_mapping,\n 'fake_image_ref')\n image_bdms = _get_image_bdms(new_with_img)\n boot_bdms = _get_bootable_bdms(new_with_img)\n self.assertEqual(1, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, image_bdms[0]['boot_index'])\n self.assertEqual('image', boot_bdms[0]['source_type'])\n new_with_img_and_root = block_device.from_legacy_mapping(self.\n legacy_mapping, 'fake_image_ref', 'sda1')\n image_bdms = _get_image_bdms(new_with_img_and_root)\n boot_bdms = _get_bootable_bdms(new_with_img_and_root)\n self.assertEqual(0, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, boot_bdms[0]['boot_index'])\n self.assertEqual('volume', boot_bdms[0]['source_type'])\n new_no_root = block_device.from_legacy_mapping(self.legacy_mapping,\n 'fake_image_ref', 'sda1', no_root=True)\n self.assertEqual(0, len(_get_image_bdms(new_no_root)))\n self.assertEqual(0, len(_get_bootable_bdms(new_no_root)))\n\n def test_from_api(self):\n for api, new in zip(self.api_mapping, self.new_mapping):\n new['connection_info'] = None\n if new['snapshot_id']:\n new['volume_id'] = None\n self.assertThat(block_device.BlockDeviceDict.from_api(api, \n False), matchers.IsSubDictOf(new))\n\n def test_from_api_invalid_blank_id(self):\n api_dict = {'id': 1, 'source_type': 'blank', 'destination_type':\n 'volume', 'uuid': 'fake-volume-id-1', 'delete_on_termination': \n True, 'boot_index': -1}\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n\n def test_from_api_invalid_source_to_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1'}\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n\n def test_from_api_valid_source_to_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'volume_id': 'fake-volume-id-1', 'uuid': 1,\n 'boot_index': 0}\n retexp = block_device.BlockDeviceDict({'id': 1, 'source_type':\n 'image', 'image_id': 1, 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0})\n self.assertEqual(retexp, block_device.BlockDeviceDict.from_api(\n api_dict, True))\n\n def test_from_api_valid_source_to_local_mapping_with_string_bi(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'volume_id': 'fake-volume-id-1', 'uuid': 1,\n 'boot_index': '0'}\n retexp = block_device.BlockDeviceDict({'id': 1, 'source_type':\n 'image', 'image_id': 1, 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0})\n self.assertEqual(retexp, block_device.BlockDeviceDict.from_api(\n api_dict, True))\n\n def test_from_api_invalid_image_to_destination_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1', 'volume_type':\n 'fake-lvm-1', 'boot_index': 1}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn('Mapping image to local is not supported', str(ex))\n\n def test_from_api_invalid_volume_type_to_destination_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'volume', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1', 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn(\n 'Specifying a volume_type with destination_type=local is not supported'\n , str(ex))\n\n def test_from_api_invalid_specify_volume_type_with_source_volume_mapping(\n self):\n api_dict = {'id': 1, 'source_type': 'volume', 'destination_type':\n 'volume', 'uuid': 'fake-volume-id-1', 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn(\n 'Specifying volume type to existing volume is not supported',\n str(ex))\n\n def test_image_mapping(self):\n removed_fields = ['id', 'instance_uuid', 'connection_info',\n 'created_at', 'updated_at', 'deleted_at', 'deleted']\n for bdm in self.new_mapping:\n mapping_bdm = fake_block_device.FakeDbBlockDeviceDict(bdm\n ).get_image_mapping()\n for fld in removed_fields:\n self.assertNotIn(fld, mapping_bdm)\n\n def _test_snapshot_from_bdm(self, template):\n snapshot = block_device.snapshot_from_bdm('new-snapshot-id', template)\n self.assertEqual('new-snapshot-id', snapshot['snapshot_id'])\n self.assertEqual('snapshot', snapshot['source_type'])\n self.assertEqual('volume', snapshot['destination_type'])\n self.assertEqual(template.volume_size, snapshot['volume_size'])\n self.assertEqual(template.delete_on_termination, snapshot[\n 'delete_on_termination'])\n self.assertEqual(template.device_name, snapshot['device_name'])\n for key in ['disk_bus', 'device_type', 'boot_index']:\n self.assertEqual(template[key], snapshot[key])\n\n def test_snapshot_from_bdm(self):\n for bdm in self.new_mapping:\n self._test_snapshot_from_bdm(objects.BlockDeviceMapping(**bdm))\n\n def test_snapshot_from_object(self):\n for bdm in self.new_mapping[:-1]:\n obj = objects.BlockDeviceMapping()\n obj = objects.BlockDeviceMapping._from_db_object(None, obj,\n fake_block_device.FakeDbBlockDeviceDict(bdm))\n self._test_snapshot_from_bdm(obj)\n\n\nclass GetBDMImageMetadataTestCase(test.NoDBTestCase):\n\n def setUp(self):\n super().setUp()\n self.compute_api = compute_api.API()\n self.context = context.RequestContext('fake', 'fake')\n\n def _test_get_bdm_image_metadata__bootable(self, is_bootable=False):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': None, 'volume_id':\n '1', 'delete_on_termination': False}]\n expected_meta = {'min_disk': 0, 'min_ram': 0, 'properties': {},\n 'size': 0, 'status': 'active'}\n\n def get_vol_data(*args, **kwargs):\n return {'bootable': is_bootable}\n with mock.patch.object(self.compute_api.volume_api, 'get',\n side_effect=get_vol_data):\n if not is_bootable:\n self.assertRaises(exception.InvalidBDMVolumeNotBootable,\n block_device.get_bdm_image_metadata, self.context, self\n .compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n else:\n meta = block_device.get_bdm_image_metadata(self.context,\n self.compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(expected_meta, meta)\n\n def test_get_bdm_image_metadata__non_bootable(self):\n self._test_get_bdm_image_metadata__bootable(False)\n\n def test_get_bdm_image_metadata__bootable(self):\n self._test_get_bdm_image_metadata__bootable(True)\n\n def test_get_bdm_image_metadata__basic_property(self):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': None, 'volume_id':\n '1', 'delete_on_termination': False}]\n fake_volume = {'volume_image_metadata': {'min_ram': 256, 'min_disk':\n 128, 'foo': 'bar'}}\n with mock.patch.object(self.compute_api.volume_api, 'get',\n return_value=fake_volume):\n meta = block_device.get_bdm_image_metadata(self.context, self.\n compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n\n def test_get_bdm_image_metadata__snapshot_basic_property(self):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': '2', 'volume_id':\n None, 'delete_on_termination': False}]\n fake_volume = {'volume_image_metadata': {'min_ram': 256, 'min_disk':\n 128, 'foo': 'bar'}}\n fake_snapshot = {'volume_id': '1'}\n with test.nested(mock.patch.object(self.compute_api.volume_api,\n 'get', return_value=fake_volume), mock.patch.object(self.\n compute_api.volume_api, 'get_snapshot', return_value=fake_snapshot)\n ) as (volume_get, volume_get_snapshot):\n meta = block_device.get_bdm_image_metadata(self.context, self.\n compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n volume_get_snapshot.assert_called_once_with(self.context,\n block_device_mapping[0]['snapshot_id'])\n volume_get.assert_called_once_with(self.context, fake_snapshot[\n 'volume_id'])\n\n @mock.patch.object(cinder.API, 'get', side_effect=exception.\n CinderConnectionFailed(reason='error'))\n def test_get_bdm_image_metadata__cinder_down(self, mock_get):\n bdms = [objects.BlockDeviceMapping(**fake_block_device.\n FakeDbBlockDeviceDict({'id': 1, 'volume_id': 1, 'source_type':\n 'volume', 'destination_type': 'volume', 'device_name': 'vda'}))]\n self.assertRaises(exception.CinderConnectionFailed, block_device.\n get_bdm_image_metadata, self.context, self.compute_api.\n image_api, self.compute_api.volume_api, bdms, legacy_bdm=True)\n\n\nclass GetImageMetadataFromVolumeTestCase(test.NoDBTestCase):\n\n def test_inherit_image_properties(self):\n properties = {'fake_prop': 'fake_value'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(properties, image_meta['properties'])\n\n def test_image_size(self):\n volume = {'size': 10}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(10 * units.Gi, image_meta['size'])\n\n def test_image_status(self):\n volume = {}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual('active', image_meta['status'])\n\n def test_values_conversion(self):\n properties = {'min_ram': '5', 'min_disk': '7'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(5, image_meta['min_ram'])\n self.assertEqual(7, image_meta['min_disk'])\n\n def test_suppress_not_image_properties(self):\n properties = {'min_ram': '256', 'min_disk': '128', 'image_id':\n 'fake_id', 'image_name': 'fake_name', 'container_format': 'ami',\n 'disk_format': 'ami', 'size': '1234', 'checksum': 'fake_checksum'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual({}, image_meta['properties'])\n self.assertEqual(0, image_meta['size'])\n self.assertNotEqual({}, properties)\n",
"step-4": "<mask token>\n\n\nclass BlockDeviceTestCase(test.NoDBTestCase):\n <mask token>\n\n def test_properties(self):\n root_device0 = '/dev/sda'\n root_device1 = '/dev/sdb'\n mappings = [{'virtual': 'root', 'device': root_device0}]\n properties0 = {'mappings': mappings}\n properties1 = {'mappings': mappings, 'root_device_name': root_device1}\n self.assertIsNone(block_device.properties_root_device_name({}))\n self.assertEqual(root_device0, block_device.\n properties_root_device_name(properties0))\n self.assertEqual(root_device1, block_device.\n properties_root_device_name(properties1))\n <mask token>\n\n def test_mappings_prepend_dev(self):\n mapping = [{'virtual': 'ami', 'device': '/dev/sda'}, {'virtual':\n 'root', 'device': 'sda'}, {'virtual': 'ephemeral0', 'device':\n 'sdb'}, {'virtual': 'swap', 'device': 'sdc'}, {'virtual':\n 'ephemeral1', 'device': 'sdd'}, {'virtual': 'ephemeral2',\n 'device': 'sde'}]\n expected = [{'virtual': 'ami', 'device': '/dev/sda'}, {'virtual':\n 'root', 'device': 'sda'}, {'virtual': 'ephemeral0', 'device':\n '/dev/sdb'}, {'virtual': 'swap', 'device': '/dev/sdc'}, {\n 'virtual': 'ephemeral1', 'device': '/dev/sdd'}, {'virtual':\n 'ephemeral2', 'device': '/dev/sde'}]\n prepended = block_device.mappings_prepend_dev(mapping)\n self.assertEqual(sorted(expected, key=lambda v: v['virtual']),\n sorted(prepended, key=lambda v: v['virtual']))\n\n def test_strip_dev(self):\n self.assertEqual('sda', block_device.strip_dev('/dev/sda'))\n self.assertEqual('sda', block_device.strip_dev('sda'))\n self.assertIsNone(block_device.strip_dev(None))\n\n def test_strip_prefix(self):\n self.assertEqual('a', block_device.strip_prefix('/dev/sda'))\n self.assertEqual('a', block_device.strip_prefix('a'))\n self.assertEqual('a', block_device.strip_prefix('xvda'))\n self.assertEqual('a', block_device.strip_prefix('vda'))\n self.assertEqual('a', block_device.strip_prefix('hda'))\n self.assertIsNone(block_device.strip_prefix(None))\n\n def test_get_device_letter(self):\n self.assertEqual('', block_device.get_device_letter(''))\n self.assertEqual('a', block_device.get_device_letter('/dev/sda1'))\n self.assertEqual('b', block_device.get_device_letter('/dev/xvdb'))\n self.assertEqual('d', block_device.get_device_letter('/dev/d'))\n self.assertEqual('a', block_device.get_device_letter('a'))\n self.assertEqual('b', block_device.get_device_letter('sdb2'))\n self.assertEqual('c', block_device.get_device_letter('vdc'))\n self.assertEqual('c', block_device.get_device_letter('hdc'))\n self.assertIsNone(block_device.get_device_letter(None))\n\n def test_generate_device_name(self):\n expected = ('vda', ('vd', 0)), ('vdaa', ('vd', 26)), ('vdabc', (\n 'vd', 730)), ('vdidpok', ('vd', 4194304)), ('sdc', ('sd', 2)), (\n 'sdaa', ('sd', 26)), ('sdiw', ('sd', 256)), ('hdzz', ('hd', 701))\n for res, args in expected:\n self.assertEqual(res, block_device.generate_device_name(*args))\n <mask token>\n\n def test_get_root_bdm(self):\n root_bdm = {'device_name': 'vda', 'boot_index': 0}\n bdms = [root_bdm, {'device_name': 'vdb', 'boot_index': 1}, {\n 'device_name': 'vdc', 'boot_index': -1}, {'device_name': 'vdd'}]\n self.assertEqual(root_bdm, block_device.get_root_bdm(bdms))\n self.assertEqual(root_bdm, block_device.get_root_bdm([bdms[0]]))\n self.assertIsNone(block_device.get_root_bdm(bdms[1:]))\n self.assertIsNone(block_device.get_root_bdm(bdms[2:]))\n self.assertIsNone(block_device.get_root_bdm(bdms[3:]))\n self.assertIsNone(block_device.get_root_bdm([]))\n\n def test_get_bdm_ephemeral_disk_size(self):\n size = block_device.get_bdm_ephemeral_disk_size(self.new_mapping)\n self.assertEqual(10, size)\n <mask token>\n\n def test_get_bdm_local_disk_num(self):\n size = block_device.get_bdm_local_disk_num(self.new_mapping)\n self.assertEqual(2, size)\n\n def test_new_format_is_swap(self):\n expected_results = [True, False, False, False, False]\n for expected, bdm in zip(expected_results, self.new_mapping):\n res = block_device.new_format_is_swap(bdm)\n self.assertEqual(expected, res)\n <mask token>\n\n def test_validate_device_name(self):\n for value in [' ', 10, None, 'a' * 260]:\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n validate_device_name, value)\n <mask token>\n <mask token>\n\n\nclass TestBlockDeviceDict(test.NoDBTestCase):\n\n def setUp(self):\n super(TestBlockDeviceDict, self).setUp()\n BDM = block_device.BlockDeviceDict\n self.api_mapping = [{'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'source_type': 'blank',\n 'destination_type': 'local', 'delete_on_termination': True,\n 'guest_format': 'swap', 'boot_index': -1}, {'id': 2,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sdc1',\n 'source_type': 'blank', 'destination_type': 'local',\n 'delete_on_termination': True, 'boot_index': -1}, {'id': 3,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda1',\n 'source_type': 'volume', 'destination_type': 'volume', 'uuid':\n 'fake-volume-id-1', 'boot_index': 0}, {'id': 4, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda2', 'source_type':\n 'snapshot', 'destination_type': 'volume', 'uuid':\n 'fake-snapshot-id-1', 'boot_index': -1}, {'id': 5,\n 'instance_uuid': uuids.instance, 'no_device': True,\n 'device_name': '/dev/vdc'}]\n self.new_mapping = [BDM({'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'source_type': 'blank',\n 'destination_type': 'local', 'delete_on_termination': True,\n 'guest_format': 'swap', 'boot_index': -1}), BDM({'id': 2,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sdc1',\n 'source_type': 'blank', 'destination_type': 'local',\n 'delete_on_termination': True, 'boot_index': -1}), BDM({'id': 3,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda1',\n 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'connection_info':\n \"{'fake': 'connection_info'}\", 'boot_index': 0}), BDM({'id': 4,\n 'instance_uuid': uuids.instance, 'device_name': '/dev/sda2',\n 'source_type': 'snapshot', 'destination_type': 'volume',\n 'connection_info': \"{'fake': 'connection_info'}\", 'snapshot_id':\n 'fake-snapshot-id-1', 'volume_id': 'fake-volume-id-2',\n 'boot_index': -1}), BDM({'id': 5, 'instance_uuid': uuids.\n instance, 'no_device': True, 'device_name': '/dev/vdc'})]\n self.legacy_mapping = [{'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1', 'delete_on_termination': True,\n 'virtual_name': 'swap'}, {'id': 2, 'instance_uuid': uuids.\n instance, 'device_name': '/dev/sdc1', 'delete_on_termination': \n True, 'virtual_name': 'ephemeral0'}, {'id': 3, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda1', 'volume_id':\n 'fake-volume-id-1', 'connection_info':\n \"{'fake': 'connection_info'}\"}, {'id': 4, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda2', 'connection_info':\n \"{'fake': 'connection_info'}\", 'snapshot_id':\n 'fake-snapshot-id-1', 'volume_id': 'fake-volume-id-2'}, {'id': \n 5, 'instance_uuid': uuids.instance, 'no_device': True,\n 'device_name': '/dev/vdc'}]\n self.new_mapping_source_image = [BDM({'id': 6, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda3', 'source_type':\n 'image', 'destination_type': 'volume', 'connection_info':\n \"{'fake': 'connection_info'}\", 'volume_id': 'fake-volume-id-3',\n 'boot_index': -1}), BDM({'id': 7, 'instance_uuid': uuids.\n instance, 'device_name': '/dev/sda4', 'source_type': 'image',\n 'destination_type': 'local', 'connection_info':\n \"{'fake': 'connection_info'}\", 'image_id': 'fake-image-id-2',\n 'boot_index': -1})]\n self.legacy_mapping_source_image = [{'id': 6, 'instance_uuid':\n uuids.instance, 'device_name': '/dev/sda3', 'connection_info':\n \"{'fake': 'connection_info'}\", 'volume_id': 'fake-volume-id-3'}]\n\n def test_init(self):\n\n def fake_validate(obj, dct):\n pass\n self.stub_out('nova.block_device.BlockDeviceDict._fields', set([\n 'field1', 'field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._db_only_fields',\n set(['db_field1', 'db_field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._validate',\n fake_validate)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo', 'field2':\n 'bar', 'db_field1': 'baz'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'},\n do_not_default=set(['field2']))\n self.assertIn('field1', dev_dict)\n self.assertNotIn('field2', dev_dict)\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n dev_dict = block_device.BlockDeviceDict(field1='foo')\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'}, field2='bar'\n )\n self.assertEqual('foo', dev_dict['field1'])\n self.assertEqual('bar', dev_dict['field2'])\n\n def test_init_prepend_dev_to_device_name(self):\n bdm = {'id': 3, 'instance_uuid': uuids.instance, 'device_name':\n 'vda', 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vda', bdm_dict['device_name'])\n bdm['device_name'] = '/dev/vdb'\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vdb', bdm_dict['device_name'])\n bdm['device_name'] = None\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertIsNone(bdm_dict['device_name'])\n\n def test_init_boolify_delete_on_termination(self):\n bdm = {'id': 3, 'instance_uuid': uuids.instance, 'device_name':\n 'vda', 'source_type': 'volume', 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertFalse(bdm_dict['delete_on_termination'])\n\n def test_validate(self):\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, {'bogus_field': 'lame_val'})\n lame_bdm = dict(self.new_mapping[2])\n del lame_bdm['source_type']\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_bdm)\n lame_bdm['no_device'] = True\n block_device.BlockDeviceDict(lame_bdm)\n lame_dev_bdm = dict(self.new_mapping[2])\n lame_dev_bdm['device_name'] = 'not a valid name'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_dev_bdm)\n lame_dev_bdm['device_name'] = ''\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_dev_bdm)\n cool_volume_size_bdm = dict(self.new_mapping[2])\n cool_volume_size_bdm['volume_size'] = '42'\n cool_volume_size_bdm = block_device.BlockDeviceDict(\n cool_volume_size_bdm)\n self.assertEqual(42, cool_volume_size_bdm['volume_size'])\n lame_volume_size_bdm = dict(self.new_mapping[2])\n lame_volume_size_bdm['volume_size'] = 'some_non_int_string'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, lame_volume_size_bdm)\n truthy_bdm = dict(self.new_mapping[2])\n truthy_bdm['delete_on_termination'] = '1'\n truthy_bdm = block_device.BlockDeviceDict(truthy_bdm)\n self.assertTrue(truthy_bdm['delete_on_termination'])\n verbose_bdm = dict(self.new_mapping[2])\n verbose_bdm['boot_index'] = 'first'\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict, verbose_bdm)\n\n def test_from_legacy(self):\n for legacy, new in zip(self.legacy_mapping, self.new_mapping):\n self.assertThat(block_device.BlockDeviceDict.from_legacy(legacy\n ), matchers.IsSubDictOf(new))\n\n def test_from_legacy_mapping(self):\n\n def _get_image_bdms(bdms):\n return [bdm for bdm in bdms if bdm['source_type'] == 'image']\n\n def _get_bootable_bdms(bdms):\n return [bdm for bdm in bdms if bdm['boot_index'] is not None and\n bdm['boot_index'] >= 0]\n new_no_img = block_device.from_legacy_mapping(self.legacy_mapping)\n self.assertEqual(0, len(_get_image_bdms(new_no_img)))\n for new, expected in zip(new_no_img, self.new_mapping):\n self.assertThat(new, matchers.IsSubDictOf(expected))\n new_with_img = block_device.from_legacy_mapping(self.legacy_mapping,\n 'fake_image_ref')\n image_bdms = _get_image_bdms(new_with_img)\n boot_bdms = _get_bootable_bdms(new_with_img)\n self.assertEqual(1, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, image_bdms[0]['boot_index'])\n self.assertEqual('image', boot_bdms[0]['source_type'])\n new_with_img_and_root = block_device.from_legacy_mapping(self.\n legacy_mapping, 'fake_image_ref', 'sda1')\n image_bdms = _get_image_bdms(new_with_img_and_root)\n boot_bdms = _get_bootable_bdms(new_with_img_and_root)\n self.assertEqual(0, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, boot_bdms[0]['boot_index'])\n self.assertEqual('volume', boot_bdms[0]['source_type'])\n new_no_root = block_device.from_legacy_mapping(self.legacy_mapping,\n 'fake_image_ref', 'sda1', no_root=True)\n self.assertEqual(0, len(_get_image_bdms(new_no_root)))\n self.assertEqual(0, len(_get_bootable_bdms(new_no_root)))\n\n def test_from_api(self):\n for api, new in zip(self.api_mapping, self.new_mapping):\n new['connection_info'] = None\n if new['snapshot_id']:\n new['volume_id'] = None\n self.assertThat(block_device.BlockDeviceDict.from_api(api, \n False), matchers.IsSubDictOf(new))\n\n def test_from_api_invalid_blank_id(self):\n api_dict = {'id': 1, 'source_type': 'blank', 'destination_type':\n 'volume', 'uuid': 'fake-volume-id-1', 'delete_on_termination': \n True, 'boot_index': -1}\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n\n def test_from_api_invalid_source_to_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1'}\n self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n\n def test_from_api_valid_source_to_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'volume_id': 'fake-volume-id-1', 'uuid': 1,\n 'boot_index': 0}\n retexp = block_device.BlockDeviceDict({'id': 1, 'source_type':\n 'image', 'image_id': 1, 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0})\n self.assertEqual(retexp, block_device.BlockDeviceDict.from_api(\n api_dict, True))\n\n def test_from_api_valid_source_to_local_mapping_with_string_bi(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'volume_id': 'fake-volume-id-1', 'uuid': 1,\n 'boot_index': '0'}\n retexp = block_device.BlockDeviceDict({'id': 1, 'source_type':\n 'image', 'image_id': 1, 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1', 'boot_index': 0})\n self.assertEqual(retexp, block_device.BlockDeviceDict.from_api(\n api_dict, True))\n\n def test_from_api_invalid_image_to_destination_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'image', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1', 'volume_type':\n 'fake-lvm-1', 'boot_index': 1}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn('Mapping image to local is not supported', str(ex))\n\n def test_from_api_invalid_volume_type_to_destination_local_mapping(self):\n api_dict = {'id': 1, 'source_type': 'volume', 'destination_type':\n 'local', 'uuid': 'fake-volume-id-1', 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn(\n 'Specifying a volume_type with destination_type=local is not supported'\n , str(ex))\n\n def test_from_api_invalid_specify_volume_type_with_source_volume_mapping(\n self):\n api_dict = {'id': 1, 'source_type': 'volume', 'destination_type':\n 'volume', 'uuid': 'fake-volume-id-1', 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat, block_device.\n BlockDeviceDict.from_api, api_dict, False)\n self.assertIn(\n 'Specifying volume type to existing volume is not supported',\n str(ex))\n\n def test_image_mapping(self):\n removed_fields = ['id', 'instance_uuid', 'connection_info',\n 'created_at', 'updated_at', 'deleted_at', 'deleted']\n for bdm in self.new_mapping:\n mapping_bdm = fake_block_device.FakeDbBlockDeviceDict(bdm\n ).get_image_mapping()\n for fld in removed_fields:\n self.assertNotIn(fld, mapping_bdm)\n\n def _test_snapshot_from_bdm(self, template):\n snapshot = block_device.snapshot_from_bdm('new-snapshot-id', template)\n self.assertEqual('new-snapshot-id', snapshot['snapshot_id'])\n self.assertEqual('snapshot', snapshot['source_type'])\n self.assertEqual('volume', snapshot['destination_type'])\n self.assertEqual(template.volume_size, snapshot['volume_size'])\n self.assertEqual(template.delete_on_termination, snapshot[\n 'delete_on_termination'])\n self.assertEqual(template.device_name, snapshot['device_name'])\n for key in ['disk_bus', 'device_type', 'boot_index']:\n self.assertEqual(template[key], snapshot[key])\n\n def test_snapshot_from_bdm(self):\n for bdm in self.new_mapping:\n self._test_snapshot_from_bdm(objects.BlockDeviceMapping(**bdm))\n\n def test_snapshot_from_object(self):\n for bdm in self.new_mapping[:-1]:\n obj = objects.BlockDeviceMapping()\n obj = objects.BlockDeviceMapping._from_db_object(None, obj,\n fake_block_device.FakeDbBlockDeviceDict(bdm))\n self._test_snapshot_from_bdm(obj)\n\n\nclass GetBDMImageMetadataTestCase(test.NoDBTestCase):\n\n def setUp(self):\n super().setUp()\n self.compute_api = compute_api.API()\n self.context = context.RequestContext('fake', 'fake')\n\n def _test_get_bdm_image_metadata__bootable(self, is_bootable=False):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': None, 'volume_id':\n '1', 'delete_on_termination': False}]\n expected_meta = {'min_disk': 0, 'min_ram': 0, 'properties': {},\n 'size': 0, 'status': 'active'}\n\n def get_vol_data(*args, **kwargs):\n return {'bootable': is_bootable}\n with mock.patch.object(self.compute_api.volume_api, 'get',\n side_effect=get_vol_data):\n if not is_bootable:\n self.assertRaises(exception.InvalidBDMVolumeNotBootable,\n block_device.get_bdm_image_metadata, self.context, self\n .compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n else:\n meta = block_device.get_bdm_image_metadata(self.context,\n self.compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(expected_meta, meta)\n\n def test_get_bdm_image_metadata__non_bootable(self):\n self._test_get_bdm_image_metadata__bootable(False)\n\n def test_get_bdm_image_metadata__bootable(self):\n self._test_get_bdm_image_metadata__bootable(True)\n\n def test_get_bdm_image_metadata__basic_property(self):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': None, 'volume_id':\n '1', 'delete_on_termination': False}]\n fake_volume = {'volume_image_metadata': {'min_ram': 256, 'min_disk':\n 128, 'foo': 'bar'}}\n with mock.patch.object(self.compute_api.volume_api, 'get',\n return_value=fake_volume):\n meta = block_device.get_bdm_image_metadata(self.context, self.\n compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n\n def test_get_bdm_image_metadata__snapshot_basic_property(self):\n block_device_mapping = [{'id': 1, 'device_name': 'vda', 'no_device':\n None, 'virtual_name': None, 'snapshot_id': '2', 'volume_id':\n None, 'delete_on_termination': False}]\n fake_volume = {'volume_image_metadata': {'min_ram': 256, 'min_disk':\n 128, 'foo': 'bar'}}\n fake_snapshot = {'volume_id': '1'}\n with test.nested(mock.patch.object(self.compute_api.volume_api,\n 'get', return_value=fake_volume), mock.patch.object(self.\n compute_api.volume_api, 'get_snapshot', return_value=fake_snapshot)\n ) as (volume_get, volume_get_snapshot):\n meta = block_device.get_bdm_image_metadata(self.context, self.\n compute_api.image_api, self.compute_api.volume_api,\n block_device_mapping)\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n volume_get_snapshot.assert_called_once_with(self.context,\n block_device_mapping[0]['snapshot_id'])\n volume_get.assert_called_once_with(self.context, fake_snapshot[\n 'volume_id'])\n\n @mock.patch.object(cinder.API, 'get', side_effect=exception.\n CinderConnectionFailed(reason='error'))\n def test_get_bdm_image_metadata__cinder_down(self, mock_get):\n bdms = [objects.BlockDeviceMapping(**fake_block_device.\n FakeDbBlockDeviceDict({'id': 1, 'volume_id': 1, 'source_type':\n 'volume', 'destination_type': 'volume', 'device_name': 'vda'}))]\n self.assertRaises(exception.CinderConnectionFailed, block_device.\n get_bdm_image_metadata, self.context, self.compute_api.\n image_api, self.compute_api.volume_api, bdms, legacy_bdm=True)\n\n\nclass GetImageMetadataFromVolumeTestCase(test.NoDBTestCase):\n\n def test_inherit_image_properties(self):\n properties = {'fake_prop': 'fake_value'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(properties, image_meta['properties'])\n\n def test_image_size(self):\n volume = {'size': 10}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(10 * units.Gi, image_meta['size'])\n\n def test_image_status(self):\n volume = {}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual('active', image_meta['status'])\n\n def test_values_conversion(self):\n properties = {'min_ram': '5', 'min_disk': '7'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(5, image_meta['min_ram'])\n self.assertEqual(7, image_meta['min_disk'])\n\n def test_suppress_not_image_properties(self):\n properties = {'min_ram': '256', 'min_disk': '128', 'image_id':\n 'fake_id', 'image_name': 'fake_name', 'container_format': 'ami',\n 'disk_format': 'ami', 'size': '1234', 'checksum': 'fake_checksum'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual({}, image_meta['properties'])\n self.assertEqual(0, image_meta['size'])\n self.assertNotEqual({}, properties)\n",
"step-5": "# Copyright 2011 Isaku Yamahata\n# All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\"); you may\n# not use this file except in compliance with the License. You may obtain\n# a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS, WITHOUT\n# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the\n# License for the specific language governing permissions and limitations\n# under the License.\n\n\"\"\"\nTests for Block Device utility functions.\n\"\"\"\n\nfrom unittest import mock\n\nfrom oslo_utils.fixture import uuidsentinel as uuids\nfrom oslo_utils import units\n\nfrom nova import block_device\nfrom nova.compute import api as compute_api\nfrom nova import context\nfrom nova import exception\nfrom nova import objects\nfrom nova import test\nfrom nova.tests.unit import fake_block_device\nfrom nova.tests.unit import matchers\nfrom nova.volume import cinder\n\n\nclass BlockDeviceTestCase(test.NoDBTestCase):\n def setUp(self):\n super(BlockDeviceTestCase, self).setUp()\n BDM = block_device.BlockDeviceDict\n\n self.new_mapping = [\n BDM({'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1',\n 'source_type': 'blank',\n 'destination_type': 'local',\n 'delete_on_termination': True,\n 'volume_size': 1,\n 'guest_format': 'swap',\n 'boot_index': -1}),\n BDM({'id': 2, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdc1',\n 'source_type': 'blank',\n 'destination_type': 'local',\n 'volume_size': 10,\n 'delete_on_termination': True,\n 'boot_index': -1}),\n BDM({'id': 3, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda1',\n 'source_type': 'volume',\n 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1',\n 'connection_info': \"{'fake': 'connection_info'}\",\n 'boot_index': 0}),\n BDM({'id': 4, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda2',\n 'source_type': 'snapshot',\n 'destination_type': 'volume',\n 'connection_info': \"{'fake': 'connection_info'}\",\n 'snapshot_id': 'fake-snapshot-id-1',\n 'volume_id': 'fake-volume-id-2',\n 'boot_index': -1}),\n BDM({'id': 5, 'instance_uuid': uuids.instance,\n 'no_device': True,\n 'device_name': '/dev/vdc'}),\n ]\n\n def test_properties(self):\n root_device0 = '/dev/sda'\n root_device1 = '/dev/sdb'\n mappings = [{'virtual': 'root',\n 'device': root_device0}]\n\n properties0 = {'mappings': mappings}\n properties1 = {'mappings': mappings,\n 'root_device_name': root_device1}\n\n self.assertIsNone(block_device.properties_root_device_name({}))\n self.assertEqual(root_device0,\n block_device.properties_root_device_name(properties0))\n self.assertEqual(root_device1,\n block_device.properties_root_device_name(properties1))\n\n def test_ephemeral(self):\n self.assertFalse(block_device.is_ephemeral('ephemeral'))\n self.assertTrue(block_device.is_ephemeral('ephemeral0'))\n self.assertTrue(block_device.is_ephemeral('ephemeral1'))\n self.assertTrue(block_device.is_ephemeral('ephemeral11'))\n self.assertFalse(block_device.is_ephemeral('root'))\n self.assertFalse(block_device.is_ephemeral('swap'))\n self.assertFalse(block_device.is_ephemeral('/dev/sda1'))\n\n self.assertEqual(0, block_device.ephemeral_num('ephemeral0'))\n self.assertEqual(1, block_device.ephemeral_num('ephemeral1'))\n self.assertEqual(11, block_device.ephemeral_num('ephemeral11'))\n\n self.assertFalse(block_device.is_swap_or_ephemeral('ephemeral'))\n self.assertTrue(block_device.is_swap_or_ephemeral('ephemeral0'))\n self.assertTrue(block_device.is_swap_or_ephemeral('ephemeral1'))\n self.assertTrue(block_device.is_swap_or_ephemeral('swap'))\n self.assertFalse(block_device.is_swap_or_ephemeral('root'))\n self.assertFalse(block_device.is_swap_or_ephemeral('/dev/sda1'))\n\n def test_mappings_prepend_dev(self):\n mapping = [\n {'virtual': 'ami', 'device': '/dev/sda'},\n {'virtual': 'root', 'device': 'sda'},\n {'virtual': 'ephemeral0', 'device': 'sdb'},\n {'virtual': 'swap', 'device': 'sdc'},\n {'virtual': 'ephemeral1', 'device': 'sdd'},\n {'virtual': 'ephemeral2', 'device': 'sde'}]\n\n expected = [\n {'virtual': 'ami', 'device': '/dev/sda'},\n {'virtual': 'root', 'device': 'sda'},\n {'virtual': 'ephemeral0', 'device': '/dev/sdb'},\n {'virtual': 'swap', 'device': '/dev/sdc'},\n {'virtual': 'ephemeral1', 'device': '/dev/sdd'},\n {'virtual': 'ephemeral2', 'device': '/dev/sde'}]\n\n prepended = block_device.mappings_prepend_dev(mapping)\n self.assertEqual(sorted(expected, key=lambda v: v['virtual']),\n sorted(prepended, key=lambda v: v['virtual']))\n\n def test_strip_dev(self):\n self.assertEqual('sda', block_device.strip_dev('/dev/sda'))\n self.assertEqual('sda', block_device.strip_dev('sda'))\n self.assertIsNone(block_device.strip_dev(None))\n\n def test_strip_prefix(self):\n self.assertEqual('a', block_device.strip_prefix('/dev/sda'))\n self.assertEqual('a', block_device.strip_prefix('a'))\n self.assertEqual('a', block_device.strip_prefix('xvda'))\n self.assertEqual('a', block_device.strip_prefix('vda'))\n self.assertEqual('a', block_device.strip_prefix('hda'))\n self.assertIsNone(block_device.strip_prefix(None))\n\n def test_get_device_letter(self):\n self.assertEqual('', block_device.get_device_letter(''))\n self.assertEqual('a', block_device.get_device_letter('/dev/sda1'))\n self.assertEqual('b', block_device.get_device_letter('/dev/xvdb'))\n self.assertEqual('d', block_device.get_device_letter('/dev/d'))\n self.assertEqual('a', block_device.get_device_letter('a'))\n self.assertEqual('b', block_device.get_device_letter('sdb2'))\n self.assertEqual('c', block_device.get_device_letter('vdc'))\n self.assertEqual('c', block_device.get_device_letter('hdc'))\n self.assertIsNone(block_device.get_device_letter(None))\n\n def test_generate_device_name(self):\n expected = (\n ('vda', (\"vd\", 0)),\n ('vdaa', (\"vd\", 26)),\n ('vdabc', (\"vd\", 730)),\n ('vdidpok', (\"vd\", 4194304)),\n ('sdc', (\"sd\", 2)),\n ('sdaa', (\"sd\", 26)),\n ('sdiw', (\"sd\", 256)),\n ('hdzz', (\"hd\", 701))\n )\n for res, args in expected:\n self.assertEqual(res, block_device.generate_device_name(*args))\n\n def test_volume_in_mapping(self):\n swap = {'device_name': '/dev/sdb',\n 'swap_size': 1}\n ephemerals = [{'num': 0,\n 'virtual_name': 'ephemeral0',\n 'device_name': '/dev/sdc1',\n 'size': 1},\n {'num': 2,\n 'virtual_name': 'ephemeral2',\n 'device_name': '/dev/sdd',\n 'size': 1}]\n block_device_mapping = [{'mount_device': '/dev/sde',\n 'device_path': 'fake_device'},\n {'mount_device': '/dev/sdf',\n 'device_path': 'fake_device'}]\n block_device_info = {\n 'root_device_name': '/dev/sda',\n 'swap': swap,\n 'ephemerals': ephemerals,\n 'block_device_mapping': block_device_mapping}\n\n def _assert_volume_in_mapping(device_name, true_or_false):\n in_mapping = block_device.volume_in_mapping(\n device_name, block_device_info)\n self.assertEqual(true_or_false, in_mapping)\n\n _assert_volume_in_mapping('sda', False)\n _assert_volume_in_mapping('sdb', True)\n _assert_volume_in_mapping('sdc1', True)\n _assert_volume_in_mapping('sdd', True)\n _assert_volume_in_mapping('sde', True)\n _assert_volume_in_mapping('sdf', True)\n _assert_volume_in_mapping('sdg', False)\n _assert_volume_in_mapping('sdh1', False)\n\n def test_get_root_bdm(self):\n root_bdm = {'device_name': 'vda', 'boot_index': 0}\n bdms = [root_bdm,\n {'device_name': 'vdb', 'boot_index': 1},\n {'device_name': 'vdc', 'boot_index': -1},\n {'device_name': 'vdd'}]\n self.assertEqual(root_bdm, block_device.get_root_bdm(bdms))\n self.assertEqual(root_bdm, block_device.get_root_bdm([bdms[0]]))\n self.assertIsNone(block_device.get_root_bdm(bdms[1:]))\n self.assertIsNone(block_device.get_root_bdm(bdms[2:]))\n self.assertIsNone(block_device.get_root_bdm(bdms[3:]))\n self.assertIsNone(block_device.get_root_bdm([]))\n\n def test_get_bdm_ephemeral_disk_size(self):\n size = block_device.get_bdm_ephemeral_disk_size(self.new_mapping)\n self.assertEqual(10, size)\n\n def test_get_bdm_swap_list(self):\n swap_list = block_device.get_bdm_swap_list(self.new_mapping)\n self.assertEqual(1, len(swap_list))\n self.assertEqual(1, swap_list[0].get('id'))\n\n def test_get_bdm_local_disk_num(self):\n size = block_device.get_bdm_local_disk_num(self.new_mapping)\n self.assertEqual(2, size)\n\n def test_new_format_is_swap(self):\n expected_results = [True, False, False, False, False]\n for expected, bdm in zip(expected_results, self.new_mapping):\n res = block_device.new_format_is_swap(bdm)\n self.assertEqual(expected, res)\n\n def test_new_format_is_ephemeral(self):\n expected_results = [False, True, False, False, False]\n for expected, bdm in zip(expected_results, self.new_mapping):\n res = block_device.new_format_is_ephemeral(bdm)\n self.assertEqual(expected, res)\n\n def test_validate_device_name(self):\n for value in [' ', 10, None, 'a' * 260]:\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.validate_device_name,\n value)\n\n def test_validate_and_default_volume_size(self):\n bdm = {}\n for value in [-1, 'a', 2.5]:\n bdm['volume_size'] = value\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.validate_and_default_volume_size,\n bdm)\n\n def test_get_bdms_to_connect(self):\n root_bdm = {'device_name': 'vda', 'boot_index': 0}\n bdms = [root_bdm,\n {'device_name': 'vdb', 'boot_index': 1},\n {'device_name': 'vdc', 'boot_index': -1},\n {'device_name': 'vde', 'boot_index': None},\n {'device_name': 'vdd'}]\n self.assertNotIn(root_bdm, block_device.get_bdms_to_connect(bdms,\n exclude_root_mapping=True))\n self.assertIn(root_bdm, block_device.get_bdms_to_connect(bdms))\n\n\nclass TestBlockDeviceDict(test.NoDBTestCase):\n def setUp(self):\n super(TestBlockDeviceDict, self).setUp()\n\n BDM = block_device.BlockDeviceDict\n\n self.api_mapping = [\n {'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1',\n 'source_type': 'blank',\n 'destination_type': 'local',\n 'delete_on_termination': True,\n 'guest_format': 'swap',\n 'boot_index': -1},\n {'id': 2, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdc1',\n 'source_type': 'blank',\n 'destination_type': 'local',\n 'delete_on_termination': True,\n 'boot_index': -1},\n {'id': 3, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda1',\n 'source_type': 'volume',\n 'destination_type': 'volume',\n 'uuid': 'fake-volume-id-1',\n 'boot_index': 0},\n {'id': 4, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda2',\n 'source_type': 'snapshot',\n 'destination_type': 'volume',\n 'uuid': 'fake-snapshot-id-1',\n 'boot_index': -1},\n {'id': 5, 'instance_uuid': uuids.instance,\n 'no_device': True,\n 'device_name': '/dev/vdc'},\n ]\n\n self.new_mapping = [\n BDM({'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1',\n 'source_type': 'blank',\n 'destination_type': 'local',\n 'delete_on_termination': True,\n 'guest_format': 'swap',\n 'boot_index': -1}),\n BDM({'id': 2, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdc1',\n 'source_type': 'blank',\n 'destination_type': 'local',\n 'delete_on_termination': True,\n 'boot_index': -1}),\n BDM({'id': 3, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda1',\n 'source_type': 'volume',\n 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1',\n 'connection_info': \"{'fake': 'connection_info'}\",\n 'boot_index': 0}),\n BDM({'id': 4, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda2',\n 'source_type': 'snapshot',\n 'destination_type': 'volume',\n 'connection_info': \"{'fake': 'connection_info'}\",\n 'snapshot_id': 'fake-snapshot-id-1',\n 'volume_id': 'fake-volume-id-2',\n 'boot_index': -1}),\n BDM({'id': 5, 'instance_uuid': uuids.instance,\n 'no_device': True,\n 'device_name': '/dev/vdc'}),\n ]\n\n self.legacy_mapping = [\n {'id': 1, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdb1',\n 'delete_on_termination': True,\n 'virtual_name': 'swap'},\n {'id': 2, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sdc1',\n 'delete_on_termination': True,\n 'virtual_name': 'ephemeral0'},\n {'id': 3, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda1',\n 'volume_id': 'fake-volume-id-1',\n 'connection_info': \"{'fake': 'connection_info'}\"},\n {'id': 4, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda2',\n 'connection_info': \"{'fake': 'connection_info'}\",\n 'snapshot_id': 'fake-snapshot-id-1',\n 'volume_id': 'fake-volume-id-2'},\n {'id': 5, 'instance_uuid': uuids.instance,\n 'no_device': True,\n 'device_name': '/dev/vdc'},\n ]\n\n self.new_mapping_source_image = [\n BDM({'id': 6, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda3',\n 'source_type': 'image',\n 'destination_type': 'volume',\n 'connection_info': \"{'fake': 'connection_info'}\",\n 'volume_id': 'fake-volume-id-3',\n 'boot_index': -1}),\n BDM({'id': 7, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda4',\n 'source_type': 'image',\n 'destination_type': 'local',\n 'connection_info': \"{'fake': 'connection_info'}\",\n 'image_id': 'fake-image-id-2',\n 'boot_index': -1}),\n ]\n\n self.legacy_mapping_source_image = [\n {'id': 6, 'instance_uuid': uuids.instance,\n 'device_name': '/dev/sda3',\n 'connection_info': \"{'fake': 'connection_info'}\",\n 'volume_id': 'fake-volume-id-3'},\n ]\n\n def test_init(self):\n def fake_validate(obj, dct):\n pass\n\n self.stub_out('nova.block_device.BlockDeviceDict._fields',\n set(['field1', 'field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._db_only_fields',\n set(['db_field1', 'db_field2']))\n self.stub_out('nova.block_device.BlockDeviceDict._validate',\n fake_validate)\n\n # Make sure db fields are not picked up if they are not\n # in the original dict\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo',\n 'field2': 'bar',\n 'db_field1': 'baz'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n\n # Make sure all expected fields are defaulted\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'})\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n\n # Unless they are not meant to be\n dev_dict = block_device.BlockDeviceDict({'field1': 'foo'},\n do_not_default=set(['field2']))\n self.assertIn('field1', dev_dict)\n self.assertNotIn('field2', dev_dict)\n self.assertNotIn('db_field1', dev_dict)\n self.assertNotIn('db_field2', dev_dict)\n\n # Passing kwargs to constructor works\n dev_dict = block_device.BlockDeviceDict(field1='foo')\n self.assertIn('field1', dev_dict)\n self.assertIn('field2', dev_dict)\n self.assertIsNone(dev_dict['field2'])\n dev_dict = block_device.BlockDeviceDict(\n {'field1': 'foo'}, field2='bar')\n self.assertEqual('foo', dev_dict['field1'])\n self.assertEqual('bar', dev_dict['field2'])\n\n def test_init_prepend_dev_to_device_name(self):\n bdm = {'id': 3, 'instance_uuid': uuids.instance,\n 'device_name': 'vda',\n 'source_type': 'volume',\n 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1',\n 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vda', bdm_dict['device_name'])\n\n bdm['device_name'] = '/dev/vdb'\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertEqual('/dev/vdb', bdm_dict['device_name'])\n\n bdm['device_name'] = None\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertIsNone(bdm_dict['device_name'])\n\n def test_init_boolify_delete_on_termination(self):\n # Make sure that when delete_on_termination is not passed it's\n # still set to False and not None\n bdm = {'id': 3, 'instance_uuid': uuids.instance,\n 'device_name': 'vda',\n 'source_type': 'volume',\n 'destination_type': 'volume',\n 'volume_id': 'fake-volume-id-1',\n 'boot_index': 0}\n bdm_dict = block_device.BlockDeviceDict(bdm)\n self.assertFalse(bdm_dict['delete_on_termination'])\n\n def test_validate(self):\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict,\n {'bogus_field': 'lame_val'})\n\n lame_bdm = dict(self.new_mapping[2])\n del lame_bdm['source_type']\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict,\n lame_bdm)\n\n lame_bdm['no_device'] = True\n block_device.BlockDeviceDict(lame_bdm)\n\n lame_dev_bdm = dict(self.new_mapping[2])\n lame_dev_bdm['device_name'] = \"not a valid name\"\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict,\n lame_dev_bdm)\n\n lame_dev_bdm['device_name'] = \"\"\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict,\n lame_dev_bdm)\n\n cool_volume_size_bdm = dict(self.new_mapping[2])\n cool_volume_size_bdm['volume_size'] = '42'\n cool_volume_size_bdm = block_device.BlockDeviceDict(\n cool_volume_size_bdm)\n self.assertEqual(42, cool_volume_size_bdm['volume_size'])\n\n lame_volume_size_bdm = dict(self.new_mapping[2])\n lame_volume_size_bdm['volume_size'] = 'some_non_int_string'\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict,\n lame_volume_size_bdm)\n\n truthy_bdm = dict(self.new_mapping[2])\n truthy_bdm['delete_on_termination'] = '1'\n truthy_bdm = block_device.BlockDeviceDict(truthy_bdm)\n self.assertTrue(truthy_bdm['delete_on_termination'])\n\n verbose_bdm = dict(self.new_mapping[2])\n verbose_bdm['boot_index'] = 'first'\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict,\n verbose_bdm)\n\n def test_from_legacy(self):\n for legacy, new in zip(self.legacy_mapping, self.new_mapping):\n self.assertThat(\n block_device.BlockDeviceDict.from_legacy(legacy),\n matchers.IsSubDictOf(new))\n\n def test_from_legacy_mapping(self):\n def _get_image_bdms(bdms):\n return [bdm for bdm in bdms if bdm['source_type'] == 'image']\n\n def _get_bootable_bdms(bdms):\n return [bdm for bdm in bdms\n if (bdm['boot_index'] is not None and\n bdm['boot_index'] >= 0)]\n\n new_no_img = block_device.from_legacy_mapping(self.legacy_mapping)\n self.assertEqual(0, len(_get_image_bdms(new_no_img)))\n\n for new, expected in zip(new_no_img, self.new_mapping):\n self.assertThat(new, matchers.IsSubDictOf(expected))\n\n new_with_img = block_device.from_legacy_mapping(\n self.legacy_mapping, 'fake_image_ref')\n image_bdms = _get_image_bdms(new_with_img)\n boot_bdms = _get_bootable_bdms(new_with_img)\n self.assertEqual(1, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, image_bdms[0]['boot_index'])\n self.assertEqual('image', boot_bdms[0]['source_type'])\n\n new_with_img_and_root = block_device.from_legacy_mapping(\n self.legacy_mapping, 'fake_image_ref', 'sda1')\n image_bdms = _get_image_bdms(new_with_img_and_root)\n boot_bdms = _get_bootable_bdms(new_with_img_and_root)\n self.assertEqual(0, len(image_bdms))\n self.assertEqual(1, len(boot_bdms))\n self.assertEqual(0, boot_bdms[0]['boot_index'])\n self.assertEqual('volume', boot_bdms[0]['source_type'])\n\n new_no_root = block_device.from_legacy_mapping(\n self.legacy_mapping, 'fake_image_ref', 'sda1', no_root=True)\n self.assertEqual(0, len(_get_image_bdms(new_no_root)))\n self.assertEqual(0, len(_get_bootable_bdms(new_no_root)))\n\n def test_from_api(self):\n for api, new in zip(self.api_mapping, self.new_mapping):\n new['connection_info'] = None\n if new['snapshot_id']:\n new['volume_id'] = None\n self.assertThat(\n block_device.BlockDeviceDict.from_api(api, False),\n matchers.IsSubDictOf(new))\n\n def test_from_api_invalid_blank_id(self):\n api_dict = {'id': 1,\n 'source_type': 'blank',\n 'destination_type': 'volume',\n 'uuid': 'fake-volume-id-1',\n 'delete_on_termination': True,\n 'boot_index': -1}\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict.from_api, api_dict,\n False)\n\n def test_from_api_invalid_source_to_local_mapping(self):\n api_dict = {'id': 1,\n 'source_type': 'image',\n 'destination_type': 'local',\n 'uuid': 'fake-volume-id-1'}\n self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict.from_api, api_dict,\n False)\n\n def test_from_api_valid_source_to_local_mapping(self):\n api_dict = {'id': 1,\n 'source_type': 'image',\n 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1',\n 'uuid': 1,\n 'boot_index': 0}\n\n retexp = block_device.BlockDeviceDict(\n {'id': 1,\n 'source_type': 'image',\n 'image_id': 1,\n 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1',\n 'boot_index': 0})\n self.assertEqual(retexp,\n block_device.BlockDeviceDict.from_api(api_dict, True))\n\n def test_from_api_valid_source_to_local_mapping_with_string_bi(self):\n api_dict = {'id': 1,\n 'source_type': 'image',\n 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1',\n 'uuid': 1,\n 'boot_index': '0'}\n\n retexp = block_device.BlockDeviceDict(\n {'id': 1,\n 'source_type': 'image',\n 'image_id': 1,\n 'destination_type': 'local',\n 'volume_id': 'fake-volume-id-1',\n 'boot_index': 0})\n self.assertEqual(retexp,\n block_device.BlockDeviceDict.from_api(api_dict, True))\n\n def test_from_api_invalid_image_to_destination_local_mapping(self):\n api_dict = {'id': 1,\n 'source_type': 'image',\n 'destination_type': 'local',\n 'uuid': 'fake-volume-id-1',\n 'volume_type': 'fake-lvm-1',\n 'boot_index': 1}\n ex = self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict.from_api,\n api_dict, False)\n self.assertIn('Mapping image to local is not supported', str(ex))\n\n def test_from_api_invalid_volume_type_to_destination_local_mapping(self):\n api_dict = {'id': 1,\n 'source_type': 'volume',\n 'destination_type': 'local',\n 'uuid': 'fake-volume-id-1',\n 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict.from_api,\n api_dict, False)\n self.assertIn('Specifying a volume_type with destination_type=local '\n 'is not supported', str(ex))\n\n def test_from_api_invalid_specify_volume_type_with_source_volume_mapping(\n self):\n api_dict = {'id': 1,\n 'source_type': 'volume',\n 'destination_type': 'volume',\n 'uuid': 'fake-volume-id-1',\n 'volume_type': 'fake-lvm-1'}\n ex = self.assertRaises(exception.InvalidBDMFormat,\n block_device.BlockDeviceDict.from_api,\n api_dict, False)\n self.assertIn('Specifying volume type to existing volume is '\n 'not supported', str(ex))\n\n def test_image_mapping(self):\n removed_fields = ['id', 'instance_uuid', 'connection_info',\n 'created_at', 'updated_at', 'deleted_at', 'deleted']\n for bdm in self.new_mapping:\n mapping_bdm = fake_block_device.FakeDbBlockDeviceDict(\n bdm).get_image_mapping()\n for fld in removed_fields:\n self.assertNotIn(fld, mapping_bdm)\n\n def _test_snapshot_from_bdm(self, template):\n snapshot = block_device.snapshot_from_bdm('new-snapshot-id', template)\n self.assertEqual('new-snapshot-id', snapshot['snapshot_id'])\n self.assertEqual('snapshot', snapshot['source_type'])\n self.assertEqual('volume', snapshot['destination_type'])\n self.assertEqual(template.volume_size, snapshot['volume_size'])\n self.assertEqual(template.delete_on_termination,\n snapshot['delete_on_termination'])\n self.assertEqual(template.device_name, snapshot['device_name'])\n for key in ['disk_bus', 'device_type', 'boot_index']:\n self.assertEqual(template[key], snapshot[key])\n\n def test_snapshot_from_bdm(self):\n for bdm in self.new_mapping:\n self._test_snapshot_from_bdm(objects.BlockDeviceMapping(**bdm))\n\n def test_snapshot_from_object(self):\n for bdm in self.new_mapping[:-1]:\n obj = objects.BlockDeviceMapping()\n obj = objects.BlockDeviceMapping._from_db_object(\n None, obj, fake_block_device.FakeDbBlockDeviceDict(\n bdm))\n self._test_snapshot_from_bdm(obj)\n\n\nclass GetBDMImageMetadataTestCase(test.NoDBTestCase):\n\n def setUp(self):\n super().setUp()\n self.compute_api = compute_api.API()\n self.context = context.RequestContext('fake', 'fake')\n\n def _test_get_bdm_image_metadata__bootable(self, is_bootable=False):\n block_device_mapping = [{\n 'id': 1,\n 'device_name': 'vda',\n 'no_device': None,\n 'virtual_name': None,\n 'snapshot_id': None,\n 'volume_id': '1',\n 'delete_on_termination': False,\n }]\n\n expected_meta = {\n 'min_disk': 0, 'min_ram': 0, 'properties': {}, 'size': 0,\n 'status': 'active',\n }\n\n def get_vol_data(*args, **kwargs):\n return {'bootable': is_bootable}\n\n with mock.patch.object(\n self.compute_api.volume_api, 'get', side_effect=get_vol_data,\n ):\n if not is_bootable:\n self.assertRaises(\n exception.InvalidBDMVolumeNotBootable,\n block_device.get_bdm_image_metadata,\n self.context,\n self.compute_api.image_api,\n self.compute_api.volume_api,\n block_device_mapping)\n else:\n meta = block_device.get_bdm_image_metadata(\n self.context, self.compute_api.image_api,\n self.compute_api.volume_api, block_device_mapping)\n self.assertEqual(expected_meta, meta)\n\n def test_get_bdm_image_metadata__non_bootable(self):\n self._test_get_bdm_image_metadata__bootable(False)\n\n def test_get_bdm_image_metadata__bootable(self):\n self._test_get_bdm_image_metadata__bootable(True)\n\n def test_get_bdm_image_metadata__basic_property(self):\n block_device_mapping = [{\n 'id': 1,\n 'device_name': 'vda',\n 'no_device': None,\n 'virtual_name': None,\n 'snapshot_id': None,\n 'volume_id': '1',\n 'delete_on_termination': False,\n }]\n fake_volume = {\n 'volume_image_metadata': {\n 'min_ram': 256, 'min_disk': 128, 'foo': 'bar',\n },\n }\n with mock.patch.object(\n self.compute_api.volume_api, 'get', return_value=fake_volume,\n ):\n meta = block_device.get_bdm_image_metadata(\n self.context, self.compute_api.image_api,\n self.compute_api.volume_api, block_device_mapping)\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n\n def test_get_bdm_image_metadata__snapshot_basic_property(self):\n block_device_mapping = [{\n 'id': 1,\n 'device_name': 'vda',\n 'no_device': None,\n 'virtual_name': None,\n 'snapshot_id': '2',\n 'volume_id': None,\n 'delete_on_termination': False,\n }]\n fake_volume = {\n 'volume_image_metadata': {\n 'min_ram': 256, 'min_disk': 128, 'foo': 'bar',\n },\n }\n fake_snapshot = {'volume_id': '1'}\n with test.nested(\n mock.patch.object(\n self.compute_api.volume_api, 'get',\n return_value=fake_volume),\n mock.patch.object(\n self.compute_api.volume_api, 'get_snapshot',\n return_value=fake_snapshot),\n ) as (volume_get, volume_get_snapshot):\n meta = block_device.get_bdm_image_metadata(\n self.context, self.compute_api.image_api,\n self.compute_api.volume_api, block_device_mapping)\n\n self.assertEqual(256, meta['min_ram'])\n self.assertEqual(128, meta['min_disk'])\n self.assertEqual('active', meta['status'])\n self.assertEqual('bar', meta['properties']['foo'])\n volume_get_snapshot.assert_called_once_with(\n self.context, block_device_mapping[0]['snapshot_id'])\n volume_get.assert_called_once_with(\n self.context, fake_snapshot['volume_id'])\n\n @mock.patch.object(\n cinder.API, 'get',\n side_effect=exception.CinderConnectionFailed(reason='error'))\n def test_get_bdm_image_metadata__cinder_down(self, mock_get):\n bdms = [\n objects.BlockDeviceMapping(\n **fake_block_device.FakeDbBlockDeviceDict({\n 'id': 1,\n 'volume_id': 1,\n 'source_type': 'volume',\n 'destination_type': 'volume',\n 'device_name': 'vda',\n })\n )\n ]\n self.assertRaises(\n exception.CinderConnectionFailed,\n block_device.get_bdm_image_metadata,\n self.context,\n self.compute_api.image_api,\n self.compute_api.volume_api,\n bdms, legacy_bdm=True)\n\n\nclass GetImageMetadataFromVolumeTestCase(test.NoDBTestCase):\n def test_inherit_image_properties(self):\n properties = {'fake_prop': 'fake_value'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(properties, image_meta['properties'])\n\n def test_image_size(self):\n volume = {'size': 10}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(10 * units.Gi, image_meta['size'])\n\n def test_image_status(self):\n volume = {}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual('active', image_meta['status'])\n\n def test_values_conversion(self):\n properties = {'min_ram': '5', 'min_disk': '7'}\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual(5, image_meta['min_ram'])\n self.assertEqual(7, image_meta['min_disk'])\n\n def test_suppress_not_image_properties(self):\n properties = {\n 'min_ram': '256', 'min_disk': '128', 'image_id': 'fake_id',\n 'image_name': 'fake_name', 'container_format': 'ami',\n 'disk_format': 'ami', 'size': '1234', 'checksum': 'fake_checksum',\n }\n volume = {'volume_image_metadata': properties}\n image_meta = block_device.get_image_metadata_from_volume(volume)\n self.assertEqual({}, image_meta['properties'])\n self.assertEqual(0, image_meta['size'])\n # volume's properties should not be touched\n self.assertNotEqual({}, properties)\n",
"step-ids": [
37,
38,
43,
46,
55
]
}
|
[
37,
38,
43,
46,
55
] |
from django.apps import AppConfig
class ModuloConfig(AppConfig):
name = 'modulo'
verbose_name = 'TUM:JungeAkademie - Modulo'
def ready(self):
#start-up / initialization code here!!!
from .recommender import Recommender
Recommender.initialize()
|
normal
|
{
"blob_id": "31275ca9e20da9d2709ea396e55c113b3ff4f571",
"index": 7738,
"step-1": "<mask token>\n\n\nclass ModuloConfig(AppConfig):\n <mask token>\n <mask token>\n <mask token>\n",
"step-2": "<mask token>\n\n\nclass ModuloConfig(AppConfig):\n <mask token>\n <mask token>\n\n def ready(self):\n from .recommender import Recommender\n Recommender.initialize()\n",
"step-3": "<mask token>\n\n\nclass ModuloConfig(AppConfig):\n name = 'modulo'\n verbose_name = 'TUM:JungeAkademie - Modulo'\n\n def ready(self):\n from .recommender import Recommender\n Recommender.initialize()\n",
"step-4": "from django.apps import AppConfig\n\n\nclass ModuloConfig(AppConfig):\n name = 'modulo'\n verbose_name = 'TUM:JungeAkademie - Modulo'\n\n def ready(self):\n from .recommender import Recommender\n Recommender.initialize()\n",
"step-5": "from django.apps import AppConfig\n\n\nclass ModuloConfig(AppConfig):\n name = 'modulo'\n verbose_name = 'TUM:JungeAkademie - Modulo'\n \n def ready(self):\n #start-up / initialization code here!!!\n from .recommender import Recommender\n Recommender.initialize()",
"step-ids": [
1,
2,
3,
4,
5
]
}
|
[
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class LogoutSerializer(ModelSerializer):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Meta:
model = DeviceUser
fields = ['device_user_token', 'device_os', 'is_active']
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class UserSettingsSerializer(serializers.ModelSerializer):
class Meta:
model = UserSettings
fields = ('id', 'session_confirm', 'message',
'session_cancellation', 'location_change', 'session_reminder',
'available', 'push_notifications_enabled')
class UserProfileDetailSerializer(serializers.ModelSerializer):
token = serializers.SerializerMethodField()
settings = UserSettingsSerializer()
class Meta:
model = User
fields = ('id', 'username', 'name', 'last_name', 'second_last_name',
'description', 'photo', 'email', 'phone', 'zip_code',
'birthday', 'gender', 'is_student', 'is_teacher', 'token',
'settings')
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
class LoginResponseV2Serializer(serializers.ModelSerializer):
"""
Serializer used to return the proper token, when the user was succesfully
logged in.
"""
token = serializers.SerializerMethodField()
class Meta:
model = User
fields = 'token',
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class LogoutSerializer(ModelSerializer):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class Meta:
model = DeviceUser
fields = ['device_user_token', 'device_os', 'is_active']
def validate(self, data):
"""
Validate that the requesting user owns the given device.
"""
request = self.context['request']
data.setdefault('user', request.user)
data.setdefault('device_user_token', None)
if not request.user.is_authenticated():
raise serializers.ValidationError('user is not logged in.')
try:
self.instance = DeviceUser.objects.get(**data)
except DeviceUser.DoesNotExist:
raise serializers.ValidationError('invalid device')
return data
def update(self):
"""
Mark the given device as inactive.
"""
self.instance.is_active = False
self.instance.save()
return self.instance
class UserSettingsSerializer(serializers.ModelSerializer):
class Meta:
model = UserSettings
fields = ('id', 'session_confirm', 'message',
'session_cancellation', 'location_change', 'session_reminder',
'available', 'push_notifications_enabled')
class UserProfileDetailSerializer(serializers.ModelSerializer):
token = serializers.SerializerMethodField()
settings = UserSettingsSerializer()
class Meta:
model = User
fields = ('id', 'username', 'name', 'last_name', 'second_last_name',
'description', 'photo', 'email', 'phone', 'zip_code',
'birthday', 'gender', 'is_student', 'is_teacher', 'token',
'settings')
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
class LoginResponseV2Serializer(serializers.ModelSerializer):
"""
Serializer used to return the proper token, when the user was succesfully
logged in.
"""
token = serializers.SerializerMethodField()
class Meta:
model = User
fields = 'token',
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class LoginSerializer(serializers.Serializer):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
def validate(self, data):
"""
Validation email.
"""
try:
user = User.objects.get(email__iexact=data.get('email'))
except User.DoesNotExist:
raise serializers.ValidationError('invalid credentials')
if not user.check_password(data.get('password')):
raise serializers.ValidationError('invalid credentials')
return data
<|reserved_special_token_0|>
class LogoutSerializer(ModelSerializer):
"""
Serializer for log users out.
"""
is_active = serializers.ReadOnlyField()
class Meta:
model = DeviceUser
fields = ['device_user_token', 'device_os', 'is_active']
def validate(self, data):
"""
Validate that the requesting user owns the given device.
"""
request = self.context['request']
data.setdefault('user', request.user)
data.setdefault('device_user_token', None)
if not request.user.is_authenticated():
raise serializers.ValidationError('user is not logged in.')
try:
self.instance = DeviceUser.objects.get(**data)
except DeviceUser.DoesNotExist:
raise serializers.ValidationError('invalid device')
return data
def update(self):
"""
Mark the given device as inactive.
"""
self.instance.is_active = False
self.instance.save()
return self.instance
class UserSettingsSerializer(serializers.ModelSerializer):
class Meta:
model = UserSettings
fields = ('id', 'session_confirm', 'message',
'session_cancellation', 'location_change', 'session_reminder',
'available', 'push_notifications_enabled')
class UserProfileDetailSerializer(serializers.ModelSerializer):
token = serializers.SerializerMethodField()
settings = UserSettingsSerializer()
class Meta:
model = User
fields = ('id', 'username', 'name', 'last_name', 'second_last_name',
'description', 'photo', 'email', 'phone', 'zip_code',
'birthday', 'gender', 'is_student', 'is_teacher', 'token',
'settings')
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
class LoginResponseV2Serializer(serializers.ModelSerializer):
"""
Serializer used to return the proper token, when the user was succesfully
logged in.
"""
token = serializers.SerializerMethodField()
class Meta:
model = User
fields = 'token',
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class LoginSerializer(serializers.Serializer):
email = serializers.EmailField(required=True)
password = serializers.CharField(required=True)
device_user_token = serializers.CharField(max_length=250, allow_blank=
True, required=False)
device_os = serializers.CharField(max_length=30, allow_blank=False)
def validate(self, data):
"""
Validation email.
"""
try:
user = User.objects.get(email__iexact=data.get('email'))
except User.DoesNotExist:
raise serializers.ValidationError('invalid credentials')
if not user.check_password(data.get('password')):
raise serializers.ValidationError('invalid credentials')
return data
def create(self, validated_data):
user = get_object_or_404(User, email=validated_data.get('email'))
device_user_token = validated_data.get('device_user_token')
device_os = validated_data.get('device_os')
if isinstance(device_user_token, unicode) and len(device_user_token
) == 64 and (not device_os or device_os == ''):
device_os = 'iOS'
device, created = DeviceUser.objects.get_or_create(user=user,
device_user_token=device_user_token)
device.device_os = device_os
device.is_active = True
device.save()
return user
class LogoutSerializer(ModelSerializer):
"""
Serializer for log users out.
"""
is_active = serializers.ReadOnlyField()
class Meta:
model = DeviceUser
fields = ['device_user_token', 'device_os', 'is_active']
def validate(self, data):
"""
Validate that the requesting user owns the given device.
"""
request = self.context['request']
data.setdefault('user', request.user)
data.setdefault('device_user_token', None)
if not request.user.is_authenticated():
raise serializers.ValidationError('user is not logged in.')
try:
self.instance = DeviceUser.objects.get(**data)
except DeviceUser.DoesNotExist:
raise serializers.ValidationError('invalid device')
return data
def update(self):
"""
Mark the given device as inactive.
"""
self.instance.is_active = False
self.instance.save()
return self.instance
class UserSettingsSerializer(serializers.ModelSerializer):
class Meta:
model = UserSettings
fields = ('id', 'session_confirm', 'message',
'session_cancellation', 'location_change', 'session_reminder',
'available', 'push_notifications_enabled')
class UserProfileDetailSerializer(serializers.ModelSerializer):
token = serializers.SerializerMethodField()
settings = UserSettingsSerializer()
class Meta:
model = User
fields = ('id', 'username', 'name', 'last_name', 'second_last_name',
'description', 'photo', 'email', 'phone', 'zip_code',
'birthday', 'gender', 'is_student', 'is_teacher', 'token',
'settings')
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
class LoginResponseV2Serializer(serializers.ModelSerializer):
"""
Serializer used to return the proper token, when the user was succesfully
logged in.
"""
token = serializers.SerializerMethodField()
class Meta:
model = User
fields = 'token',
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
<|reserved_special_token_1|>
# -*- coding: utf-8 -*-
from django.shortcuts import get_object_or_404
from rest_framework import serializers
from tandlr.core.api.serializers import ModelSerializer
from tandlr.users.models import DeviceUser, User, UserSettings
from tandlr.utils.refresh_token import create_token
class LoginSerializer(serializers.Serializer):
email = serializers.EmailField(
required=True
)
password = serializers.CharField(
required=True
)
device_user_token = serializers.CharField(
max_length=250,
allow_blank=True,
required=False
)
device_os = serializers.CharField(
max_length=30,
allow_blank=False
)
def validate(self, data):
"""
Validation email.
"""
try:
user = User.objects.get(email__iexact=data.get('email'))
except User.DoesNotExist:
raise serializers.ValidationError("invalid credentials")
if not user.check_password(data.get('password')):
raise serializers.ValidationError("invalid credentials")
return data
def create(self, validated_data):
# Valitation mail
user = get_object_or_404(User, email=validated_data.get('email'))
device_user_token = validated_data.get('device_user_token')
device_os = validated_data.get('device_os')
if (isinstance(device_user_token, unicode) and
len(device_user_token) == 64 and
(not device_os or device_os == '')):
device_os = 'iOS'
# Save data of the device
device, created = DeviceUser.objects.get_or_create(
user=user,
device_user_token=device_user_token
)
device.device_os = device_os
device.is_active = True
device.save()
return user
class LogoutSerializer(ModelSerializer):
"""
Serializer for log users out.
"""
is_active = serializers.ReadOnlyField()
class Meta:
model = DeviceUser
fields = ['device_user_token', 'device_os', 'is_active']
def validate(self, data):
"""
Validate that the requesting user owns the given device.
"""
request = self.context['request']
data.setdefault('user', request.user)
data.setdefault('device_user_token', None)
if not request.user.is_authenticated():
raise serializers.ValidationError('user is not logged in.')
try:
self.instance = DeviceUser.objects.get(**data)
except DeviceUser.DoesNotExist:
raise serializers.ValidationError('invalid device')
return data
def update(self):
"""
Mark the given device as inactive.
"""
self.instance.is_active = False
self.instance.save()
return self.instance
class UserSettingsSerializer(serializers.ModelSerializer):
class Meta:
model = UserSettings
fields = (
'id',
'session_confirm',
'message',
'session_cancellation',
'location_change',
'session_reminder',
'available',
'push_notifications_enabled'
)
class UserProfileDetailSerializer(serializers.ModelSerializer):
token = serializers.SerializerMethodField()
settings = UserSettingsSerializer()
class Meta:
model = User
fields = (
'id', 'username', 'name', 'last_name',
'second_last_name', 'description', 'photo', 'email',
'phone', 'zip_code', 'birthday', 'gender', 'is_student',
'is_teacher', 'token', 'settings'
)
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
class LoginResponseV2Serializer(serializers.ModelSerializer):
"""
Serializer used to return the proper token, when the user was succesfully
logged in.
"""
token = serializers.SerializerMethodField()
class Meta:
model = User
fields = ('token', )
def get_token(self, obj):
"""
Create token.
"""
return create_token(obj)
|
flexible
|
{
"blob_id": "01900c1d14a04ee43553c8602a07e0c6ecfabded",
"index": 1803,
"step-1": "<mask token>\n\n\nclass LogoutSerializer(ModelSerializer):\n <mask token>\n <mask token>\n\n\n class Meta:\n model = DeviceUser\n fields = ['device_user_token', 'device_os', 'is_active']\n <mask token>\n <mask token>\n\n\nclass UserSettingsSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = UserSettings\n fields = ('id', 'session_confirm', 'message',\n 'session_cancellation', 'location_change', 'session_reminder',\n 'available', 'push_notifications_enabled')\n\n\nclass UserProfileDetailSerializer(serializers.ModelSerializer):\n token = serializers.SerializerMethodField()\n settings = UserSettingsSerializer()\n\n\n class Meta:\n model = User\n fields = ('id', 'username', 'name', 'last_name', 'second_last_name',\n 'description', 'photo', 'email', 'phone', 'zip_code',\n 'birthday', 'gender', 'is_student', 'is_teacher', 'token',\n 'settings')\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n\n\nclass LoginResponseV2Serializer(serializers.ModelSerializer):\n \"\"\"\n Serializer used to return the proper token, when the user was succesfully\n logged in.\n \"\"\"\n token = serializers.SerializerMethodField()\n\n\n class Meta:\n model = User\n fields = 'token',\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n",
"step-2": "<mask token>\n\n\nclass LogoutSerializer(ModelSerializer):\n <mask token>\n <mask token>\n\n\n class Meta:\n model = DeviceUser\n fields = ['device_user_token', 'device_os', 'is_active']\n\n def validate(self, data):\n \"\"\"\n Validate that the requesting user owns the given device.\n \"\"\"\n request = self.context['request']\n data.setdefault('user', request.user)\n data.setdefault('device_user_token', None)\n if not request.user.is_authenticated():\n raise serializers.ValidationError('user is not logged in.')\n try:\n self.instance = DeviceUser.objects.get(**data)\n except DeviceUser.DoesNotExist:\n raise serializers.ValidationError('invalid device')\n return data\n\n def update(self):\n \"\"\"\n Mark the given device as inactive.\n \"\"\"\n self.instance.is_active = False\n self.instance.save()\n return self.instance\n\n\nclass UserSettingsSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = UserSettings\n fields = ('id', 'session_confirm', 'message',\n 'session_cancellation', 'location_change', 'session_reminder',\n 'available', 'push_notifications_enabled')\n\n\nclass UserProfileDetailSerializer(serializers.ModelSerializer):\n token = serializers.SerializerMethodField()\n settings = UserSettingsSerializer()\n\n\n class Meta:\n model = User\n fields = ('id', 'username', 'name', 'last_name', 'second_last_name',\n 'description', 'photo', 'email', 'phone', 'zip_code',\n 'birthday', 'gender', 'is_student', 'is_teacher', 'token',\n 'settings')\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n\n\nclass LoginResponseV2Serializer(serializers.ModelSerializer):\n \"\"\"\n Serializer used to return the proper token, when the user was succesfully\n logged in.\n \"\"\"\n token = serializers.SerializerMethodField()\n\n\n class Meta:\n model = User\n fields = 'token',\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n",
"step-3": "<mask token>\n\n\nclass LoginSerializer(serializers.Serializer):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n\n def validate(self, data):\n \"\"\"\n Validation email.\n \"\"\"\n try:\n user = User.objects.get(email__iexact=data.get('email'))\n except User.DoesNotExist:\n raise serializers.ValidationError('invalid credentials')\n if not user.check_password(data.get('password')):\n raise serializers.ValidationError('invalid credentials')\n return data\n <mask token>\n\n\nclass LogoutSerializer(ModelSerializer):\n \"\"\"\n Serializer for log users out.\n \"\"\"\n is_active = serializers.ReadOnlyField()\n\n\n class Meta:\n model = DeviceUser\n fields = ['device_user_token', 'device_os', 'is_active']\n\n def validate(self, data):\n \"\"\"\n Validate that the requesting user owns the given device.\n \"\"\"\n request = self.context['request']\n data.setdefault('user', request.user)\n data.setdefault('device_user_token', None)\n if not request.user.is_authenticated():\n raise serializers.ValidationError('user is not logged in.')\n try:\n self.instance = DeviceUser.objects.get(**data)\n except DeviceUser.DoesNotExist:\n raise serializers.ValidationError('invalid device')\n return data\n\n def update(self):\n \"\"\"\n Mark the given device as inactive.\n \"\"\"\n self.instance.is_active = False\n self.instance.save()\n return self.instance\n\n\nclass UserSettingsSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = UserSettings\n fields = ('id', 'session_confirm', 'message',\n 'session_cancellation', 'location_change', 'session_reminder',\n 'available', 'push_notifications_enabled')\n\n\nclass UserProfileDetailSerializer(serializers.ModelSerializer):\n token = serializers.SerializerMethodField()\n settings = UserSettingsSerializer()\n\n\n class Meta:\n model = User\n fields = ('id', 'username', 'name', 'last_name', 'second_last_name',\n 'description', 'photo', 'email', 'phone', 'zip_code',\n 'birthday', 'gender', 'is_student', 'is_teacher', 'token',\n 'settings')\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n\n\nclass LoginResponseV2Serializer(serializers.ModelSerializer):\n \"\"\"\n Serializer used to return the proper token, when the user was succesfully\n logged in.\n \"\"\"\n token = serializers.SerializerMethodField()\n\n\n class Meta:\n model = User\n fields = 'token',\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n",
"step-4": "<mask token>\n\n\nclass LoginSerializer(serializers.Serializer):\n email = serializers.EmailField(required=True)\n password = serializers.CharField(required=True)\n device_user_token = serializers.CharField(max_length=250, allow_blank=\n True, required=False)\n device_os = serializers.CharField(max_length=30, allow_blank=False)\n\n def validate(self, data):\n \"\"\"\n Validation email.\n \"\"\"\n try:\n user = User.objects.get(email__iexact=data.get('email'))\n except User.DoesNotExist:\n raise serializers.ValidationError('invalid credentials')\n if not user.check_password(data.get('password')):\n raise serializers.ValidationError('invalid credentials')\n return data\n\n def create(self, validated_data):\n user = get_object_or_404(User, email=validated_data.get('email'))\n device_user_token = validated_data.get('device_user_token')\n device_os = validated_data.get('device_os')\n if isinstance(device_user_token, unicode) and len(device_user_token\n ) == 64 and (not device_os or device_os == ''):\n device_os = 'iOS'\n device, created = DeviceUser.objects.get_or_create(user=user,\n device_user_token=device_user_token)\n device.device_os = device_os\n device.is_active = True\n device.save()\n return user\n\n\nclass LogoutSerializer(ModelSerializer):\n \"\"\"\n Serializer for log users out.\n \"\"\"\n is_active = serializers.ReadOnlyField()\n\n\n class Meta:\n model = DeviceUser\n fields = ['device_user_token', 'device_os', 'is_active']\n\n def validate(self, data):\n \"\"\"\n Validate that the requesting user owns the given device.\n \"\"\"\n request = self.context['request']\n data.setdefault('user', request.user)\n data.setdefault('device_user_token', None)\n if not request.user.is_authenticated():\n raise serializers.ValidationError('user is not logged in.')\n try:\n self.instance = DeviceUser.objects.get(**data)\n except DeviceUser.DoesNotExist:\n raise serializers.ValidationError('invalid device')\n return data\n\n def update(self):\n \"\"\"\n Mark the given device as inactive.\n \"\"\"\n self.instance.is_active = False\n self.instance.save()\n return self.instance\n\n\nclass UserSettingsSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = UserSettings\n fields = ('id', 'session_confirm', 'message',\n 'session_cancellation', 'location_change', 'session_reminder',\n 'available', 'push_notifications_enabled')\n\n\nclass UserProfileDetailSerializer(serializers.ModelSerializer):\n token = serializers.SerializerMethodField()\n settings = UserSettingsSerializer()\n\n\n class Meta:\n model = User\n fields = ('id', 'username', 'name', 'last_name', 'second_last_name',\n 'description', 'photo', 'email', 'phone', 'zip_code',\n 'birthday', 'gender', 'is_student', 'is_teacher', 'token',\n 'settings')\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n\n\nclass LoginResponseV2Serializer(serializers.ModelSerializer):\n \"\"\"\n Serializer used to return the proper token, when the user was succesfully\n logged in.\n \"\"\"\n token = serializers.SerializerMethodField()\n\n\n class Meta:\n model = User\n fields = 'token',\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n",
"step-5": "# -*- coding: utf-8 -*-\nfrom django.shortcuts import get_object_or_404\n\nfrom rest_framework import serializers\n\nfrom tandlr.core.api.serializers import ModelSerializer\nfrom tandlr.users.models import DeviceUser, User, UserSettings\nfrom tandlr.utils.refresh_token import create_token\n\n\nclass LoginSerializer(serializers.Serializer):\n email = serializers.EmailField(\n required=True\n )\n\n password = serializers.CharField(\n required=True\n )\n\n device_user_token = serializers.CharField(\n max_length=250,\n allow_blank=True,\n required=False\n )\n\n device_os = serializers.CharField(\n max_length=30,\n allow_blank=False\n )\n\n def validate(self, data):\n \"\"\"\n Validation email.\n \"\"\"\n try:\n user = User.objects.get(email__iexact=data.get('email'))\n except User.DoesNotExist:\n raise serializers.ValidationError(\"invalid credentials\")\n\n if not user.check_password(data.get('password')):\n raise serializers.ValidationError(\"invalid credentials\")\n\n return data\n\n def create(self, validated_data):\n # Valitation mail\n user = get_object_or_404(User, email=validated_data.get('email'))\n\n device_user_token = validated_data.get('device_user_token')\n device_os = validated_data.get('device_os')\n\n if (isinstance(device_user_token, unicode) and\n len(device_user_token) == 64 and\n (not device_os or device_os == '')):\n device_os = 'iOS'\n\n # Save data of the device\n device, created = DeviceUser.objects.get_or_create(\n user=user,\n device_user_token=device_user_token\n )\n\n device.device_os = device_os\n device.is_active = True\n device.save()\n\n return user\n\n\nclass LogoutSerializer(ModelSerializer):\n \"\"\"\n Serializer for log users out.\n \"\"\"\n is_active = serializers.ReadOnlyField()\n\n class Meta:\n model = DeviceUser\n fields = ['device_user_token', 'device_os', 'is_active']\n\n def validate(self, data):\n \"\"\"\n Validate that the requesting user owns the given device.\n \"\"\"\n request = self.context['request']\n data.setdefault('user', request.user)\n data.setdefault('device_user_token', None)\n\n if not request.user.is_authenticated():\n raise serializers.ValidationError('user is not logged in.')\n\n try:\n self.instance = DeviceUser.objects.get(**data)\n\n except DeviceUser.DoesNotExist:\n raise serializers.ValidationError('invalid device')\n\n return data\n\n def update(self):\n \"\"\"\n Mark the given device as inactive.\n \"\"\"\n self.instance.is_active = False\n self.instance.save()\n\n return self.instance\n\n\nclass UserSettingsSerializer(serializers.ModelSerializer):\n\n class Meta:\n model = UserSettings\n fields = (\n 'id',\n 'session_confirm',\n 'message',\n 'session_cancellation',\n 'location_change',\n 'session_reminder',\n 'available',\n 'push_notifications_enabled'\n )\n\n\nclass UserProfileDetailSerializer(serializers.ModelSerializer):\n\n token = serializers.SerializerMethodField()\n settings = UserSettingsSerializer()\n\n class Meta:\n model = User\n fields = (\n 'id', 'username', 'name', 'last_name',\n 'second_last_name', 'description', 'photo', 'email',\n 'phone', 'zip_code', 'birthday', 'gender', 'is_student',\n 'is_teacher', 'token', 'settings'\n )\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n\n\nclass LoginResponseV2Serializer(serializers.ModelSerializer):\n \"\"\"\n Serializer used to return the proper token, when the user was succesfully\n logged in.\n \"\"\"\n\n token = serializers.SerializerMethodField()\n\n class Meta:\n model = User\n fields = ('token', )\n\n def get_token(self, obj):\n \"\"\"\n Create token.\n \"\"\"\n return create_token(obj)\n",
"step-ids": [
9,
11,
15,
17,
19
]
}
|
[
9,
11,
15,
17,
19
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
initial = True
dependencies = []
operations = [migrations.CreateModel(name='Expression', fields=[('id',
models.AutoField(auto_created=True, primary_key=True, serialize=
False, verbose_name='ID')), ('value', models.FloatField())]),
migrations.CreateModel(name='Gene', fields=[('id', models.AutoField
(auto_created=True, primary_key=True, serialize=False, verbose_name
='ID')), ('gene_id', models.CharField(max_length=20, unique=True)),
('summary', models.CharField(max_length=10000))]), migrations.
CreateModel(name='MutualInformation', fields=[('id', models.
AutoField(auto_created=True, primary_key=True, serialize=False,
verbose_name='ID')), ('value', models.FloatField()), ('dataset',
models.CharField(max_length=1000)), ('gene1', models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE, related_name='gene1',
to='plots.Gene')), ('gene2', models.ForeignKey(on_delete=django.db.
models.deletion.CASCADE, related_name='gene2', to='plots.Gene'))]),
migrations.CreateModel(name='Pca', fields=[('id', models.AutoField(
auto_created=True, primary_key=True, serialize=False, verbose_name=
'ID')), ('pc1', models.FloatField()), ('pc2', models.FloatField())]
), migrations.CreateModel(name='Sample', fields=[('id', models.
AutoField(auto_created=True, primary_key=True, serialize=False,
verbose_name='ID')), ('name', models.CharField(max_length=1000)), (
'cell_type', models.CharField(max_length=100)), ('dataset', models.
CharField(max_length=1000))]), migrations.AddField(model_name='pca',
name='sample', field=models.ForeignKey(on_delete=django.db.models.
deletion.CASCADE, to='plots.Sample')), migrations.AddField(
model_name='expression', name='gene', field=models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE, to='plots.Gene')),
migrations.AddField(model_name='expression', name='sample', field=
models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=
'plots.Sample'))]
<|reserved_special_token_1|>
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = []
operations = [migrations.CreateModel(name='Expression', fields=[('id',
models.AutoField(auto_created=True, primary_key=True, serialize=
False, verbose_name='ID')), ('value', models.FloatField())]),
migrations.CreateModel(name='Gene', fields=[('id', models.AutoField
(auto_created=True, primary_key=True, serialize=False, verbose_name
='ID')), ('gene_id', models.CharField(max_length=20, unique=True)),
('summary', models.CharField(max_length=10000))]), migrations.
CreateModel(name='MutualInformation', fields=[('id', models.
AutoField(auto_created=True, primary_key=True, serialize=False,
verbose_name='ID')), ('value', models.FloatField()), ('dataset',
models.CharField(max_length=1000)), ('gene1', models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE, related_name='gene1',
to='plots.Gene')), ('gene2', models.ForeignKey(on_delete=django.db.
models.deletion.CASCADE, related_name='gene2', to='plots.Gene'))]),
migrations.CreateModel(name='Pca', fields=[('id', models.AutoField(
auto_created=True, primary_key=True, serialize=False, verbose_name=
'ID')), ('pc1', models.FloatField()), ('pc2', models.FloatField())]
), migrations.CreateModel(name='Sample', fields=[('id', models.
AutoField(auto_created=True, primary_key=True, serialize=False,
verbose_name='ID')), ('name', models.CharField(max_length=1000)), (
'cell_type', models.CharField(max_length=100)), ('dataset', models.
CharField(max_length=1000))]), migrations.AddField(model_name='pca',
name='sample', field=models.ForeignKey(on_delete=django.db.models.
deletion.CASCADE, to='plots.Sample')), migrations.AddField(
model_name='expression', name='gene', field=models.ForeignKey(
on_delete=django.db.models.deletion.CASCADE, to='plots.Gene')),
migrations.AddField(model_name='expression', name='sample', field=
models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=
'plots.Sample'))]
<|reserved_special_token_1|>
# Generated by Django 2.0.2 on 2018-06-10 18:24
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Expression',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('value', models.FloatField()),
],
),
migrations.CreateModel(
name='Gene',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('gene_id', models.CharField(max_length=20, unique=True)),
('summary', models.CharField(max_length=10000)),
],
),
migrations.CreateModel(
name='MutualInformation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('value', models.FloatField()),
('dataset', models.CharField(max_length=1000)),
('gene1', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='gene1', to='plots.Gene')),
('gene2', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='gene2', to='plots.Gene')),
],
),
migrations.CreateModel(
name='Pca',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('pc1', models.FloatField()),
('pc2', models.FloatField()),
],
),
migrations.CreateModel(
name='Sample',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=1000)),
('cell_type', models.CharField(max_length=100)),
('dataset', models.CharField(max_length=1000)),
],
),
migrations.AddField(
model_name='pca',
name='sample',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='plots.Sample'),
),
migrations.AddField(
model_name='expression',
name='gene',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='plots.Gene'),
),
migrations.AddField(
model_name='expression',
name='sample',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='plots.Sample'),
),
]
|
flexible
|
{
"blob_id": "87e0b9dc518d439f71e261d5c5047153324919ba",
"index": 9547,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n initial = True\n dependencies = []\n operations = [migrations.CreateModel(name='Expression', fields=[('id',\n models.AutoField(auto_created=True, primary_key=True, serialize=\n False, verbose_name='ID')), ('value', models.FloatField())]),\n migrations.CreateModel(name='Gene', fields=[('id', models.AutoField\n (auto_created=True, primary_key=True, serialize=False, verbose_name\n ='ID')), ('gene_id', models.CharField(max_length=20, unique=True)),\n ('summary', models.CharField(max_length=10000))]), migrations.\n CreateModel(name='MutualInformation', fields=[('id', models.\n AutoField(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')), ('value', models.FloatField()), ('dataset',\n models.CharField(max_length=1000)), ('gene1', models.ForeignKey(\n on_delete=django.db.models.deletion.CASCADE, related_name='gene1',\n to='plots.Gene')), ('gene2', models.ForeignKey(on_delete=django.db.\n models.deletion.CASCADE, related_name='gene2', to='plots.Gene'))]),\n migrations.CreateModel(name='Pca', fields=[('id', models.AutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), ('pc1', models.FloatField()), ('pc2', models.FloatField())]\n ), migrations.CreateModel(name='Sample', fields=[('id', models.\n AutoField(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')), ('name', models.CharField(max_length=1000)), (\n 'cell_type', models.CharField(max_length=100)), ('dataset', models.\n CharField(max_length=1000))]), migrations.AddField(model_name='pca',\n name='sample', field=models.ForeignKey(on_delete=django.db.models.\n deletion.CASCADE, to='plots.Sample')), migrations.AddField(\n model_name='expression', name='gene', field=models.ForeignKey(\n on_delete=django.db.models.deletion.CASCADE, to='plots.Gene')),\n migrations.AddField(model_name='expression', name='sample', field=\n models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=\n 'plots.Sample'))]\n",
"step-4": "from django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n initial = True\n dependencies = []\n operations = [migrations.CreateModel(name='Expression', fields=[('id',\n models.AutoField(auto_created=True, primary_key=True, serialize=\n False, verbose_name='ID')), ('value', models.FloatField())]),\n migrations.CreateModel(name='Gene', fields=[('id', models.AutoField\n (auto_created=True, primary_key=True, serialize=False, verbose_name\n ='ID')), ('gene_id', models.CharField(max_length=20, unique=True)),\n ('summary', models.CharField(max_length=10000))]), migrations.\n CreateModel(name='MutualInformation', fields=[('id', models.\n AutoField(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')), ('value', models.FloatField()), ('dataset',\n models.CharField(max_length=1000)), ('gene1', models.ForeignKey(\n on_delete=django.db.models.deletion.CASCADE, related_name='gene1',\n to='plots.Gene')), ('gene2', models.ForeignKey(on_delete=django.db.\n models.deletion.CASCADE, related_name='gene2', to='plots.Gene'))]),\n migrations.CreateModel(name='Pca', fields=[('id', models.AutoField(\n auto_created=True, primary_key=True, serialize=False, verbose_name=\n 'ID')), ('pc1', models.FloatField()), ('pc2', models.FloatField())]\n ), migrations.CreateModel(name='Sample', fields=[('id', models.\n AutoField(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')), ('name', models.CharField(max_length=1000)), (\n 'cell_type', models.CharField(max_length=100)), ('dataset', models.\n CharField(max_length=1000))]), migrations.AddField(model_name='pca',\n name='sample', field=models.ForeignKey(on_delete=django.db.models.\n deletion.CASCADE, to='plots.Sample')), migrations.AddField(\n model_name='expression', name='gene', field=models.ForeignKey(\n on_delete=django.db.models.deletion.CASCADE, to='plots.Gene')),\n migrations.AddField(model_name='expression', name='sample', field=\n models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=\n 'plots.Sample'))]\n",
"step-5": "# Generated by Django 2.0.2 on 2018-06-10 18:24\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ]\n\n operations = [\n migrations.CreateModel(\n name='Expression',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('value', models.FloatField()),\n ],\n ),\n migrations.CreateModel(\n name='Gene',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('gene_id', models.CharField(max_length=20, unique=True)),\n ('summary', models.CharField(max_length=10000)),\n ],\n ),\n migrations.CreateModel(\n name='MutualInformation',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('value', models.FloatField()),\n ('dataset', models.CharField(max_length=1000)),\n ('gene1', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='gene1', to='plots.Gene')),\n ('gene2', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='gene2', to='plots.Gene')),\n ],\n ),\n migrations.CreateModel(\n name='Pca',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('pc1', models.FloatField()),\n ('pc2', models.FloatField()),\n ],\n ),\n migrations.CreateModel(\n name='Sample',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('name', models.CharField(max_length=1000)),\n ('cell_type', models.CharField(max_length=100)),\n ('dataset', models.CharField(max_length=1000)),\n ],\n ),\n migrations.AddField(\n model_name='pca',\n name='sample',\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='plots.Sample'),\n ),\n migrations.AddField(\n model_name='expression',\n name='gene',\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='plots.Gene'),\n ),\n migrations.AddField(\n model_name='expression',\n name='sample',\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='plots.Sample'),\n ),\n ]\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def get_repo_url(repo):
url = repo.replace('upstream:', 'git://git.baserock.org/delta/')
url = url.replace('baserock:baserock/',
'git://git.baserock.org/baserock/baserock/')
url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')
url = url.replace('github:', 'git://github.com/')
url = url.replace('gnome:', 'git://git.gnome.org')
if url.endswith('.git'):
url = url[:-4]
return url
def get_repo_name(repo):
""" Convert URIs to strings that only contain digits, letters, _ and %.
NOTE: When changing the code of this function, make sure to also apply
the same to the quote_url() function of lorry. Otherwise the git tarballs
generated by lorry may no longer be found by morph.
"""
valid_chars = string.digits + string.ascii_letters + '%_'
transl = lambda x: x if x in valid_chars else '_'
return ''.join([transl(x) for x in get_repo_url(repo)])
def get_upstream_version(repo, ref):
try:
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
with app.chdir(gitdir), open(os.devnull, 'w') as fnull:
last_tag = check_output(['git', 'describe', '--abbrev=0',
'--tags', ref], stderr=fnull)[0:-1]
commits = check_output(['git', 'rev-list', last_tag + '..' +
ref, '--count'])
result = '%s (%s + %s commits)' % (ref[:8], last_tag, commits[0:-1])
except:
result = ref[:8] + ' ' + '(No tag found)'
return result
<|reserved_special_token_0|>
def copy_repo(repo, destdir):
"""Copies a cached repository into a directory using cp.
This also fixes up the repository afterwards, so that it can contain
code etc. It does not leave any given branch ready for use.
"""
call(['cp', '-a', repo, os.path.join(destdir, '.git')])
call(['git', 'config', 'core.bare', 'false'])
call(['git', 'config', '--unset', 'remote.origin.mirror'])
with open(os.devnull, 'w') as fnull:
call(['git', 'config', 'remote.origin.fetch',
'+refs/heads/*:refs/remotes/origin/*'], stdout=fnull, stderr=fnull)
call(['git', 'config', 'remote.origin.url', repo])
call(['git', 'pack-refs', '--all', '--prune'])
with open(os.path.join(destdir, '.git', 'packed-refs'), 'r') as ref_fh:
pack_lines = ref_fh.read().split('\n')
with open(os.path.join(destdir, '.git', 'packed-refs'), 'w') as ref_fh:
ref_fh.write(pack_lines.pop(0) + '\n')
for refline in pack_lines:
if ' refs/remotes/' in refline:
continue
if ' refs/heads/' in refline:
sha, ref = refline[:40], refline[41:]
if ref.startswith('refs/heads/'):
ref = 'refs/remotes/origin/' + ref[11:]
refline = '%s %s' % (sha, ref)
ref_fh.write('%s\n' % refline)
with open(os.devnull, 'w') as fnull:
call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,
stderr=fnull)
<|reserved_special_token_0|>
def checkout_submodules(name, ref):
app.log(name, 'Git submodules')
with open('.gitmodules', 'r') as gitfile:
content = '\n'.join([l.strip() for l in gitfile.read().splitlines()])
io = StringIO.StringIO(content)
parser = ConfigParser.RawConfigParser()
parser.readfp(io)
for section in parser.sections():
submodule = re.sub('submodule "(.*)"', '\\1', section)
url = parser.get(section, 'url')
path = parser.get(section, 'path')
try:
commit = check_output(['git', 'ls-tree', ref, path])
fields = commit.split()
if len(fields) >= 2 and fields[1] == 'commit':
submodule_commit = commit.split()[2]
if len(submodule_commit) != 40:
raise Exception
fulldir = os.path.join(os.getcwd(), path)
checkout(submodule, url, submodule_commit, fulldir)
else:
app.log(this,
'Skipping submodule "%s" as %s:%s has a non-commit object for it'
% (name, url))
except:
app.log(name, 'ERROR: Git submodules problem')
raise SystemExit
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_repo_url(repo):
url = repo.replace('upstream:', 'git://git.baserock.org/delta/')
url = url.replace('baserock:baserock/',
'git://git.baserock.org/baserock/baserock/')
url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')
url = url.replace('github:', 'git://github.com/')
url = url.replace('gnome:', 'git://git.gnome.org')
if url.endswith('.git'):
url = url[:-4]
return url
def get_repo_name(repo):
""" Convert URIs to strings that only contain digits, letters, _ and %.
NOTE: When changing the code of this function, make sure to also apply
the same to the quote_url() function of lorry. Otherwise the git tarballs
generated by lorry may no longer be found by morph.
"""
valid_chars = string.digits + string.ascii_letters + '%_'
transl = lambda x: x if x in valid_chars else '_'
return ''.join([transl(x) for x in get_repo_url(repo)])
def get_upstream_version(repo, ref):
try:
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
with app.chdir(gitdir), open(os.devnull, 'w') as fnull:
last_tag = check_output(['git', 'describe', '--abbrev=0',
'--tags', ref], stderr=fnull)[0:-1]
commits = check_output(['git', 'rev-list', last_tag + '..' +
ref, '--count'])
result = '%s (%s + %s commits)' % (ref[:8], last_tag, commits[0:-1])
except:
result = ref[:8] + ' ' + '(No tag found)'
return result
def get_tree(this):
ref = this['ref']
gitdir = os.path.join(app.settings['gits'], get_repo_name(this['repo']))
if not os.path.exists(gitdir):
try:
url = app.settings['cache-server-url'] + 'repo=' + get_repo_url(
this['repo']) + '&ref=' + ref
with urllib2.urlopen(url) as response:
tree = json.loads(response.read().decode())['tree']
return tree
except:
app.log(this, 'WARNING: no tree from cache-server', ref)
mirror(this['name'], this['repo'])
with app.chdir(gitdir), open(os.devnull, 'w') as fnull:
if call(['git', 'rev-parse', ref + '^{object}'], stdout=fnull,
stderr=fnull):
call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)
try:
tree = check_output(['git', 'rev-parse', ref + '^{tree}'],
universal_newlines=True)[0:-1]
return tree
except:
app.log(this, 'ERROR: could not find tree for ref', ref)
raise SystemExit
def copy_repo(repo, destdir):
"""Copies a cached repository into a directory using cp.
This also fixes up the repository afterwards, so that it can contain
code etc. It does not leave any given branch ready for use.
"""
call(['cp', '-a', repo, os.path.join(destdir, '.git')])
call(['git', 'config', 'core.bare', 'false'])
call(['git', 'config', '--unset', 'remote.origin.mirror'])
with open(os.devnull, 'w') as fnull:
call(['git', 'config', 'remote.origin.fetch',
'+refs/heads/*:refs/remotes/origin/*'], stdout=fnull, stderr=fnull)
call(['git', 'config', 'remote.origin.url', repo])
call(['git', 'pack-refs', '--all', '--prune'])
with open(os.path.join(destdir, '.git', 'packed-refs'), 'r') as ref_fh:
pack_lines = ref_fh.read().split('\n')
with open(os.path.join(destdir, '.git', 'packed-refs'), 'w') as ref_fh:
ref_fh.write(pack_lines.pop(0) + '\n')
for refline in pack_lines:
if ' refs/remotes/' in refline:
continue
if ' refs/heads/' in refline:
sha, ref = refline[:40], refline[41:]
if ref.startswith('refs/heads/'):
ref = 'refs/remotes/origin/' + ref[11:]
refline = '%s %s' % (sha, ref)
ref_fh.write('%s\n' % refline)
with open(os.devnull, 'w') as fnull:
call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,
stderr=fnull)
<|reserved_special_token_0|>
def checkout(name, repo, ref, checkoutdir):
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
if not os.path.exists(gitdir):
mirror(name, repo)
app.log(name, 'Upstream version:', get_upstream_version(repo, ref))
app.log(name, 'Git checkout %s in %s' % (repo, checkoutdir))
with app.chdir(checkoutdir), open(os.devnull, 'w') as fnull:
copy_repo(gitdir, checkoutdir)
if call(['git', 'checkout', ref], stdout=fnull, stderr=fnull):
app.log(name, 'ERROR: git checkout failed for', ref)
raise SystemExit
if os.path.exists('.gitmodules'):
checkout_submodules(name, ref)
utils.set_mtime_recursively(checkoutdir)
def checkout_submodules(name, ref):
app.log(name, 'Git submodules')
with open('.gitmodules', 'r') as gitfile:
content = '\n'.join([l.strip() for l in gitfile.read().splitlines()])
io = StringIO.StringIO(content)
parser = ConfigParser.RawConfigParser()
parser.readfp(io)
for section in parser.sections():
submodule = re.sub('submodule "(.*)"', '\\1', section)
url = parser.get(section, 'url')
path = parser.get(section, 'path')
try:
commit = check_output(['git', 'ls-tree', ref, path])
fields = commit.split()
if len(fields) >= 2 and fields[1] == 'commit':
submodule_commit = commit.split()[2]
if len(submodule_commit) != 40:
raise Exception
fulldir = os.path.join(os.getcwd(), path)
checkout(submodule, url, submodule_commit, fulldir)
else:
app.log(this,
'Skipping submodule "%s" as %s:%s has a non-commit object for it'
% (name, url))
except:
app.log(name, 'ERROR: Git submodules problem')
raise SystemExit
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def get_repo_url(repo):
url = repo.replace('upstream:', 'git://git.baserock.org/delta/')
url = url.replace('baserock:baserock/',
'git://git.baserock.org/baserock/baserock/')
url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')
url = url.replace('github:', 'git://github.com/')
url = url.replace('gnome:', 'git://git.gnome.org')
if url.endswith('.git'):
url = url[:-4]
return url
def get_repo_name(repo):
""" Convert URIs to strings that only contain digits, letters, _ and %.
NOTE: When changing the code of this function, make sure to also apply
the same to the quote_url() function of lorry. Otherwise the git tarballs
generated by lorry may no longer be found by morph.
"""
valid_chars = string.digits + string.ascii_letters + '%_'
transl = lambda x: x if x in valid_chars else '_'
return ''.join([transl(x) for x in get_repo_url(repo)])
def get_upstream_version(repo, ref):
try:
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
with app.chdir(gitdir), open(os.devnull, 'w') as fnull:
last_tag = check_output(['git', 'describe', '--abbrev=0',
'--tags', ref], stderr=fnull)[0:-1]
commits = check_output(['git', 'rev-list', last_tag + '..' +
ref, '--count'])
result = '%s (%s + %s commits)' % (ref[:8], last_tag, commits[0:-1])
except:
result = ref[:8] + ' ' + '(No tag found)'
return result
def get_tree(this):
ref = this['ref']
gitdir = os.path.join(app.settings['gits'], get_repo_name(this['repo']))
if not os.path.exists(gitdir):
try:
url = app.settings['cache-server-url'] + 'repo=' + get_repo_url(
this['repo']) + '&ref=' + ref
with urllib2.urlopen(url) as response:
tree = json.loads(response.read().decode())['tree']
return tree
except:
app.log(this, 'WARNING: no tree from cache-server', ref)
mirror(this['name'], this['repo'])
with app.chdir(gitdir), open(os.devnull, 'w') as fnull:
if call(['git', 'rev-parse', ref + '^{object}'], stdout=fnull,
stderr=fnull):
call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)
try:
tree = check_output(['git', 'rev-parse', ref + '^{tree}'],
universal_newlines=True)[0:-1]
return tree
except:
app.log(this, 'ERROR: could not find tree for ref', ref)
raise SystemExit
def copy_repo(repo, destdir):
"""Copies a cached repository into a directory using cp.
This also fixes up the repository afterwards, so that it can contain
code etc. It does not leave any given branch ready for use.
"""
call(['cp', '-a', repo, os.path.join(destdir, '.git')])
call(['git', 'config', 'core.bare', 'false'])
call(['git', 'config', '--unset', 'remote.origin.mirror'])
with open(os.devnull, 'w') as fnull:
call(['git', 'config', 'remote.origin.fetch',
'+refs/heads/*:refs/remotes/origin/*'], stdout=fnull, stderr=fnull)
call(['git', 'config', 'remote.origin.url', repo])
call(['git', 'pack-refs', '--all', '--prune'])
with open(os.path.join(destdir, '.git', 'packed-refs'), 'r') as ref_fh:
pack_lines = ref_fh.read().split('\n')
with open(os.path.join(destdir, '.git', 'packed-refs'), 'w') as ref_fh:
ref_fh.write(pack_lines.pop(0) + '\n')
for refline in pack_lines:
if ' refs/remotes/' in refline:
continue
if ' refs/heads/' in refline:
sha, ref = refline[:40], refline[41:]
if ref.startswith('refs/heads/'):
ref = 'refs/remotes/origin/' + ref[11:]
refline = '%s %s' % (sha, ref)
ref_fh.write('%s\n' % refline)
with open(os.devnull, 'w') as fnull:
call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,
stderr=fnull)
def mirror(name, repo):
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
repo_url = get_repo_url(repo)
try:
os.makedirs(gitdir)
tar_file = get_repo_name(repo_url) + '.tar'
app.log(name, 'Try fetching tarball %s' % tar_file)
with app.chdir(gitdir), open(os.devnull, 'w') as fnull:
call(['wget', app['tar-url']], stdout=fnull, stderr=fnull)
call(['tar', 'xf', tar_file], stdout=fnull, stderr=fnull)
os.remove(tar_file)
call(['git', 'config', 'remote.origin.url', repo_url], stdout=
fnull, stderr=fnull)
call(['git', 'config', 'remote.origin.mirror', 'true'], stdout=
fnull, stderr=fnull)
if call(['git', 'config', 'remote.origin.fetch',
'+refs/*:refs/*'], stdout=fnull, stderr=fnull) != 0:
raise BaseException('Did not get a valid git repo')
call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)
except:
app.log(name, 'Using git clone from ', repo_url)
try:
with open(os.devnull, 'w') as fnull:
call(['git', 'clone', '--mirror', '-n', repo_url, gitdir],
stdout=fnull, stderr=fnull)
except:
app.log(name, 'ERROR: failed to clone', repo)
raise SystemExit
app.log(name, 'Git repo is mirrored at', gitdir)
<|reserved_special_token_0|>
def checkout(name, repo, ref, checkoutdir):
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
if not os.path.exists(gitdir):
mirror(name, repo)
app.log(name, 'Upstream version:', get_upstream_version(repo, ref))
app.log(name, 'Git checkout %s in %s' % (repo, checkoutdir))
with app.chdir(checkoutdir), open(os.devnull, 'w') as fnull:
copy_repo(gitdir, checkoutdir)
if call(['git', 'checkout', ref], stdout=fnull, stderr=fnull):
app.log(name, 'ERROR: git checkout failed for', ref)
raise SystemExit
if os.path.exists('.gitmodules'):
checkout_submodules(name, ref)
utils.set_mtime_recursively(checkoutdir)
def checkout_submodules(name, ref):
app.log(name, 'Git submodules')
with open('.gitmodules', 'r') as gitfile:
content = '\n'.join([l.strip() for l in gitfile.read().splitlines()])
io = StringIO.StringIO(content)
parser = ConfigParser.RawConfigParser()
parser.readfp(io)
for section in parser.sections():
submodule = re.sub('submodule "(.*)"', '\\1', section)
url = parser.get(section, 'url')
path = parser.get(section, 'path')
try:
commit = check_output(['git', 'ls-tree', ref, path])
fields = commit.split()
if len(fields) >= 2 and fields[1] == 'commit':
submodule_commit = commit.split()[2]
if len(submodule_commit) != 40:
raise Exception
fulldir = os.path.join(os.getcwd(), path)
checkout(submodule, url, submodule_commit, fulldir)
else:
app.log(this,
'Skipping submodule "%s" as %s:%s has a non-commit object for it'
% (name, url))
except:
app.log(name, 'ERROR: Git submodules problem')
raise SystemExit
<|reserved_special_token_1|>
import os
import app
import re
from subprocess import call
from subprocess import check_output
import string
import definitions
import urllib2
import json
import utils
import ConfigParser
import StringIO
import re
def get_repo_url(repo):
url = repo.replace('upstream:', 'git://git.baserock.org/delta/')
url = url.replace('baserock:baserock/',
'git://git.baserock.org/baserock/baserock/')
url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')
url = url.replace('github:', 'git://github.com/')
url = url.replace('gnome:', 'git://git.gnome.org')
if url.endswith('.git'):
url = url[:-4]
return url
def get_repo_name(repo):
""" Convert URIs to strings that only contain digits, letters, _ and %.
NOTE: When changing the code of this function, make sure to also apply
the same to the quote_url() function of lorry. Otherwise the git tarballs
generated by lorry may no longer be found by morph.
"""
valid_chars = string.digits + string.ascii_letters + '%_'
transl = lambda x: x if x in valid_chars else '_'
return ''.join([transl(x) for x in get_repo_url(repo)])
def get_upstream_version(repo, ref):
try:
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
with app.chdir(gitdir), open(os.devnull, 'w') as fnull:
last_tag = check_output(['git', 'describe', '--abbrev=0',
'--tags', ref], stderr=fnull)[0:-1]
commits = check_output(['git', 'rev-list', last_tag + '..' +
ref, '--count'])
result = '%s (%s + %s commits)' % (ref[:8], last_tag, commits[0:-1])
except:
result = ref[:8] + ' ' + '(No tag found)'
return result
def get_tree(this):
ref = this['ref']
gitdir = os.path.join(app.settings['gits'], get_repo_name(this['repo']))
if not os.path.exists(gitdir):
try:
url = app.settings['cache-server-url'] + 'repo=' + get_repo_url(
this['repo']) + '&ref=' + ref
with urllib2.urlopen(url) as response:
tree = json.loads(response.read().decode())['tree']
return tree
except:
app.log(this, 'WARNING: no tree from cache-server', ref)
mirror(this['name'], this['repo'])
with app.chdir(gitdir), open(os.devnull, 'w') as fnull:
if call(['git', 'rev-parse', ref + '^{object}'], stdout=fnull,
stderr=fnull):
call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)
try:
tree = check_output(['git', 'rev-parse', ref + '^{tree}'],
universal_newlines=True)[0:-1]
return tree
except:
app.log(this, 'ERROR: could not find tree for ref', ref)
raise SystemExit
def copy_repo(repo, destdir):
"""Copies a cached repository into a directory using cp.
This also fixes up the repository afterwards, so that it can contain
code etc. It does not leave any given branch ready for use.
"""
call(['cp', '-a', repo, os.path.join(destdir, '.git')])
call(['git', 'config', 'core.bare', 'false'])
call(['git', 'config', '--unset', 'remote.origin.mirror'])
with open(os.devnull, 'w') as fnull:
call(['git', 'config', 'remote.origin.fetch',
'+refs/heads/*:refs/remotes/origin/*'], stdout=fnull, stderr=fnull)
call(['git', 'config', 'remote.origin.url', repo])
call(['git', 'pack-refs', '--all', '--prune'])
with open(os.path.join(destdir, '.git', 'packed-refs'), 'r') as ref_fh:
pack_lines = ref_fh.read().split('\n')
with open(os.path.join(destdir, '.git', 'packed-refs'), 'w') as ref_fh:
ref_fh.write(pack_lines.pop(0) + '\n')
for refline in pack_lines:
if ' refs/remotes/' in refline:
continue
if ' refs/heads/' in refline:
sha, ref = refline[:40], refline[41:]
if ref.startswith('refs/heads/'):
ref = 'refs/remotes/origin/' + ref[11:]
refline = '%s %s' % (sha, ref)
ref_fh.write('%s\n' % refline)
with open(os.devnull, 'w') as fnull:
call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,
stderr=fnull)
def mirror(name, repo):
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
repo_url = get_repo_url(repo)
try:
os.makedirs(gitdir)
tar_file = get_repo_name(repo_url) + '.tar'
app.log(name, 'Try fetching tarball %s' % tar_file)
with app.chdir(gitdir), open(os.devnull, 'w') as fnull:
call(['wget', app['tar-url']], stdout=fnull, stderr=fnull)
call(['tar', 'xf', tar_file], stdout=fnull, stderr=fnull)
os.remove(tar_file)
call(['git', 'config', 'remote.origin.url', repo_url], stdout=
fnull, stderr=fnull)
call(['git', 'config', 'remote.origin.mirror', 'true'], stdout=
fnull, stderr=fnull)
if call(['git', 'config', 'remote.origin.fetch',
'+refs/*:refs/*'], stdout=fnull, stderr=fnull) != 0:
raise BaseException('Did not get a valid git repo')
call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)
except:
app.log(name, 'Using git clone from ', repo_url)
try:
with open(os.devnull, 'w') as fnull:
call(['git', 'clone', '--mirror', '-n', repo_url, gitdir],
stdout=fnull, stderr=fnull)
except:
app.log(name, 'ERROR: failed to clone', repo)
raise SystemExit
app.log(name, 'Git repo is mirrored at', gitdir)
def fetch(repo):
with app.chdir(repo), open(os.devnull, 'w') as fnull:
call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)
def checkout(name, repo, ref, checkoutdir):
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
if not os.path.exists(gitdir):
mirror(name, repo)
app.log(name, 'Upstream version:', get_upstream_version(repo, ref))
app.log(name, 'Git checkout %s in %s' % (repo, checkoutdir))
with app.chdir(checkoutdir), open(os.devnull, 'w') as fnull:
copy_repo(gitdir, checkoutdir)
if call(['git', 'checkout', ref], stdout=fnull, stderr=fnull):
app.log(name, 'ERROR: git checkout failed for', ref)
raise SystemExit
if os.path.exists('.gitmodules'):
checkout_submodules(name, ref)
utils.set_mtime_recursively(checkoutdir)
def checkout_submodules(name, ref):
app.log(name, 'Git submodules')
with open('.gitmodules', 'r') as gitfile:
content = '\n'.join([l.strip() for l in gitfile.read().splitlines()])
io = StringIO.StringIO(content)
parser = ConfigParser.RawConfigParser()
parser.readfp(io)
for section in parser.sections():
submodule = re.sub('submodule "(.*)"', '\\1', section)
url = parser.get(section, 'url')
path = parser.get(section, 'path')
try:
commit = check_output(['git', 'ls-tree', ref, path])
fields = commit.split()
if len(fields) >= 2 and fields[1] == 'commit':
submodule_commit = commit.split()[2]
if len(submodule_commit) != 40:
raise Exception
fulldir = os.path.join(os.getcwd(), path)
checkout(submodule, url, submodule_commit, fulldir)
else:
app.log(this,
'Skipping submodule "%s" as %s:%s has a non-commit object for it'
% (name, url))
except:
app.log(name, 'ERROR: Git submodules problem')
raise SystemExit
<|reserved_special_token_1|>
#!/usr/bin/env python3
#
# Copyright (C) 2011-2015 Codethink Limited
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; version 2 of the License.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#
# =*= License: GPL-2 =*=
import os
import app
import re
from subprocess import call
from subprocess import check_output
import string
import definitions
import urllib2
import json
import utils
import ConfigParser
import StringIO
import re
def get_repo_url(repo):
url = repo.replace('upstream:', 'git://git.baserock.org/delta/')
url = url.replace('baserock:baserock/',
'git://git.baserock.org/baserock/baserock/')
url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')
url = url.replace('github:', 'git://github.com/')
url = url.replace('gnome:', 'git://git.gnome.org')
if url.endswith('.git'):
url = url[:-4]
return url
def get_repo_name(repo):
''' Convert URIs to strings that only contain digits, letters, _ and %.
NOTE: When changing the code of this function, make sure to also apply
the same to the quote_url() function of lorry. Otherwise the git tarballs
generated by lorry may no longer be found by morph.
'''
valid_chars = string.digits + string.ascii_letters + '%_'
transl = lambda x: x if x in valid_chars else '_'
return ''.join([transl(x) for x in get_repo_url(repo)])
def get_upstream_version(repo, ref):
try:
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
with app.chdir(gitdir), open(os.devnull, "w") as fnull:
last_tag = check_output(['git', 'describe', '--abbrev=0',
'--tags', ref], stderr=fnull)[0:-1]
commits = check_output(['git', 'rev-list', last_tag + '..' + ref,
'--count'])
result = "%s (%s + %s commits)" % (ref[:8], last_tag, commits[0:-1])
except:
result = ref[:8] + " " + "(No tag found)"
return result
def get_tree(this):
ref = this['ref']
gitdir = os.path.join(app.settings['gits'], get_repo_name(this['repo']))
if not os.path.exists(gitdir):
try:
url = (app.settings['cache-server-url'] + 'repo='
+ get_repo_url(this['repo']) + '&ref=' + ref)
with urllib2.urlopen(url) as response:
tree = json.loads(response.read().decode())['tree']
return tree
except:
app.log(this, 'WARNING: no tree from cache-server', ref)
mirror(this['name'], this['repo'])
with app.chdir(gitdir), open(os.devnull, "w") as fnull:
if call(['git', 'rev-parse', ref + '^{object}'], stdout=fnull,
stderr=fnull):
# can't resolve this ref. is it upstream?
call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)
try:
tree = check_output(['git', 'rev-parse', ref + '^{tree}'],
universal_newlines=True)[0:-1]
return tree
except:
# either we don't have a git dir, or ref is not unique
# or ref does not exist
app.log(this, 'ERROR: could not find tree for ref', ref)
raise SystemExit
def copy_repo(repo, destdir):
'''Copies a cached repository into a directory using cp.
This also fixes up the repository afterwards, so that it can contain
code etc. It does not leave any given branch ready for use.
'''
# core.bare should be false so that git believes work trees are possible
# we do not want the origin remote to behave as a mirror for pulls
# we want a traditional refs/heads -> refs/remotes/origin ref mapping
# set the origin url to the cached repo so that we can quickly clean up
# by packing the refs, we can then edit then en-masse easily
call(['cp', '-a', repo, os.path.join(destdir, '.git')])
call(['git', 'config', 'core.bare', 'false'])
call(['git', 'config', '--unset', 'remote.origin.mirror'])
with open(os.devnull, "w") as fnull:
call(['git', 'config', 'remote.origin.fetch',
'+refs/heads/*:refs/remotes/origin/*'],
stdout=fnull,
stderr=fnull)
call(['git', 'config', 'remote.origin.url', repo])
call(['git', 'pack-refs', '--all', '--prune'])
# turn refs/heads/* into refs/remotes/origin/* in the packed refs
# so that the new copy behaves more like a traditional clone.
with open(os.path.join(destdir, ".git", "packed-refs"), "r") as ref_fh:
pack_lines = ref_fh.read().split("\n")
with open(os.path.join(destdir, ".git", "packed-refs"), "w") as ref_fh:
ref_fh.write(pack_lines.pop(0) + "\n")
for refline in pack_lines:
if ' refs/remotes/' in refline:
continue
if ' refs/heads/' in refline:
sha, ref = refline[:40], refline[41:]
if ref.startswith("refs/heads/"):
ref = "refs/remotes/origin/" + ref[11:]
refline = "%s %s" % (sha, ref)
ref_fh.write("%s\n" % (refline))
# Finally run a remote update to clear up the refs ready for use.
with open(os.devnull, "w") as fnull:
call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,
stderr=fnull)
def mirror(name, repo):
# try tarball first
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
repo_url = get_repo_url(repo)
try:
os.makedirs(gitdir)
tar_file = get_repo_name(repo_url) + '.tar'
app.log(name, 'Try fetching tarball %s' % tar_file)
with app.chdir(gitdir), open(os.devnull, "w") as fnull:
call(['wget', app['tar-url']], stdout=fnull, stderr=fnull)
call(['tar', 'xf', tar_file], stdout=fnull, stderr=fnull)
os.remove(tar_file)
call(['git', 'config', 'remote.origin.url', repo_url],
stdout=fnull, stderr=fnull)
call(['git', 'config', 'remote.origin.mirror', 'true'],
stdout=fnull, stderr=fnull)
if call(['git', 'config', 'remote.origin.fetch',
'+refs/*:refs/*'],
stdout=fnull, stderr=fnull) != 0:
raise BaseException('Did not get a valid git repo')
call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)
except:
app.log(name, 'Using git clone from ', repo_url)
try:
with open(os.devnull, "w") as fnull:
call(['git', 'clone', '--mirror', '-n', repo_url, gitdir],
stdout=fnull, stderr=fnull)
except:
app.log(name, 'ERROR: failed to clone', repo)
raise SystemExit
app.log(name, 'Git repo is mirrored at', gitdir)
def fetch(repo):
with app.chdir(repo), open(os.devnull, "w") as fnull:
call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)
def checkout(name, repo, ref, checkoutdir):
gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))
if not os.path.exists(gitdir):
mirror(name, repo)
app.log(name, 'Upstream version:', get_upstream_version(repo, ref))
app.log(name, 'Git checkout %s in %s' % (repo, checkoutdir))
# checkout the required version of this from git
with app.chdir(checkoutdir), open(os.devnull, "w") as fnull:
copy_repo(gitdir, checkoutdir)
if call(['git', 'checkout', ref], stdout=fnull, stderr=fnull):
app.log(name, 'ERROR: git checkout failed for', ref)
raise SystemExit
if os.path.exists('.gitmodules'):
checkout_submodules(name, ref)
utils.set_mtime_recursively(checkoutdir)
def checkout_submodules(name, ref):
app.log(name, 'Git submodules')
with open('.gitmodules', "r") as gitfile:
# drop indentation in sections, as RawConfigParser cannot handle it
content = '\n'.join([l.strip() for l in gitfile.read().splitlines()])
io = StringIO.StringIO(content)
parser = ConfigParser.RawConfigParser()
parser.readfp(io)
for section in parser.sections():
# validate section name against the 'submodule "foo"' pattern
submodule = re.sub(r'submodule "(.*)"', r'\1', section)
url = parser.get(section, 'url')
path = parser.get(section, 'path')
try:
# list objects in the parent repo tree to find the commit
# object that corresponds to the submodule
commit = check_output(['git', 'ls-tree', ref, path])
# read the commit hash from the output
fields = commit.split()
if len(fields) >= 2 and fields[1] == 'commit':
submodule_commit = commit.split()[2]
# fail if the commit hash is invalid
if len(submodule_commit) != 40:
raise Exception
fulldir = os.path.join(os.getcwd(), path)
checkout(submodule, url, submodule_commit, fulldir)
else:
app.log(this, 'Skipping submodule "%s" as %s:%s has '
'a non-commit object for it' % (name, url))
except:
app.log(name, "ERROR: Git submodules problem")
raise SystemExit
|
flexible
|
{
"blob_id": "955cf040aaf882328e31e6a943bce04cf721cb11",
"index": 538,
"step-1": "<mask token>\n\n\ndef get_repo_url(repo):\n url = repo.replace('upstream:', 'git://git.baserock.org/delta/')\n url = url.replace('baserock:baserock/',\n 'git://git.baserock.org/baserock/baserock/')\n url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')\n url = url.replace('github:', 'git://github.com/')\n url = url.replace('gnome:', 'git://git.gnome.org')\n if url.endswith('.git'):\n url = url[:-4]\n return url\n\n\ndef get_repo_name(repo):\n \"\"\" Convert URIs to strings that only contain digits, letters, _ and %.\n\n NOTE: When changing the code of this function, make sure to also apply\n the same to the quote_url() function of lorry. Otherwise the git tarballs\n generated by lorry may no longer be found by morph.\n\n \"\"\"\n valid_chars = string.digits + string.ascii_letters + '%_'\n transl = lambda x: x if x in valid_chars else '_'\n return ''.join([transl(x) for x in get_repo_url(repo)])\n\n\ndef get_upstream_version(repo, ref):\n try:\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n with app.chdir(gitdir), open(os.devnull, 'w') as fnull:\n last_tag = check_output(['git', 'describe', '--abbrev=0',\n '--tags', ref], stderr=fnull)[0:-1]\n commits = check_output(['git', 'rev-list', last_tag + '..' +\n ref, '--count'])\n result = '%s (%s + %s commits)' % (ref[:8], last_tag, commits[0:-1])\n except:\n result = ref[:8] + ' ' + '(No tag found)'\n return result\n\n\n<mask token>\n\n\ndef copy_repo(repo, destdir):\n \"\"\"Copies a cached repository into a directory using cp.\n\n This also fixes up the repository afterwards, so that it can contain\n code etc. It does not leave any given branch ready for use.\n\n \"\"\"\n call(['cp', '-a', repo, os.path.join(destdir, '.git')])\n call(['git', 'config', 'core.bare', 'false'])\n call(['git', 'config', '--unset', 'remote.origin.mirror'])\n with open(os.devnull, 'w') as fnull:\n call(['git', 'config', 'remote.origin.fetch',\n '+refs/heads/*:refs/remotes/origin/*'], stdout=fnull, stderr=fnull)\n call(['git', 'config', 'remote.origin.url', repo])\n call(['git', 'pack-refs', '--all', '--prune'])\n with open(os.path.join(destdir, '.git', 'packed-refs'), 'r') as ref_fh:\n pack_lines = ref_fh.read().split('\\n')\n with open(os.path.join(destdir, '.git', 'packed-refs'), 'w') as ref_fh:\n ref_fh.write(pack_lines.pop(0) + '\\n')\n for refline in pack_lines:\n if ' refs/remotes/' in refline:\n continue\n if ' refs/heads/' in refline:\n sha, ref = refline[:40], refline[41:]\n if ref.startswith('refs/heads/'):\n ref = 'refs/remotes/origin/' + ref[11:]\n refline = '%s %s' % (sha, ref)\n ref_fh.write('%s\\n' % refline)\n with open(os.devnull, 'w') as fnull:\n call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,\n stderr=fnull)\n\n\n<mask token>\n\n\ndef checkout_submodules(name, ref):\n app.log(name, 'Git submodules')\n with open('.gitmodules', 'r') as gitfile:\n content = '\\n'.join([l.strip() for l in gitfile.read().splitlines()])\n io = StringIO.StringIO(content)\n parser = ConfigParser.RawConfigParser()\n parser.readfp(io)\n for section in parser.sections():\n submodule = re.sub('submodule \"(.*)\"', '\\\\1', section)\n url = parser.get(section, 'url')\n path = parser.get(section, 'path')\n try:\n commit = check_output(['git', 'ls-tree', ref, path])\n fields = commit.split()\n if len(fields) >= 2 and fields[1] == 'commit':\n submodule_commit = commit.split()[2]\n if len(submodule_commit) != 40:\n raise Exception\n fulldir = os.path.join(os.getcwd(), path)\n checkout(submodule, url, submodule_commit, fulldir)\n else:\n app.log(this, \n 'Skipping submodule \"%s\" as %s:%s has a non-commit object for it'\n % (name, url))\n except:\n app.log(name, 'ERROR: Git submodules problem')\n raise SystemExit\n",
"step-2": "<mask token>\n\n\ndef get_repo_url(repo):\n url = repo.replace('upstream:', 'git://git.baserock.org/delta/')\n url = url.replace('baserock:baserock/',\n 'git://git.baserock.org/baserock/baserock/')\n url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')\n url = url.replace('github:', 'git://github.com/')\n url = url.replace('gnome:', 'git://git.gnome.org')\n if url.endswith('.git'):\n url = url[:-4]\n return url\n\n\ndef get_repo_name(repo):\n \"\"\" Convert URIs to strings that only contain digits, letters, _ and %.\n\n NOTE: When changing the code of this function, make sure to also apply\n the same to the quote_url() function of lorry. Otherwise the git tarballs\n generated by lorry may no longer be found by morph.\n\n \"\"\"\n valid_chars = string.digits + string.ascii_letters + '%_'\n transl = lambda x: x if x in valid_chars else '_'\n return ''.join([transl(x) for x in get_repo_url(repo)])\n\n\ndef get_upstream_version(repo, ref):\n try:\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n with app.chdir(gitdir), open(os.devnull, 'w') as fnull:\n last_tag = check_output(['git', 'describe', '--abbrev=0',\n '--tags', ref], stderr=fnull)[0:-1]\n commits = check_output(['git', 'rev-list', last_tag + '..' +\n ref, '--count'])\n result = '%s (%s + %s commits)' % (ref[:8], last_tag, commits[0:-1])\n except:\n result = ref[:8] + ' ' + '(No tag found)'\n return result\n\n\ndef get_tree(this):\n ref = this['ref']\n gitdir = os.path.join(app.settings['gits'], get_repo_name(this['repo']))\n if not os.path.exists(gitdir):\n try:\n url = app.settings['cache-server-url'] + 'repo=' + get_repo_url(\n this['repo']) + '&ref=' + ref\n with urllib2.urlopen(url) as response:\n tree = json.loads(response.read().decode())['tree']\n return tree\n except:\n app.log(this, 'WARNING: no tree from cache-server', ref)\n mirror(this['name'], this['repo'])\n with app.chdir(gitdir), open(os.devnull, 'w') as fnull:\n if call(['git', 'rev-parse', ref + '^{object}'], stdout=fnull,\n stderr=fnull):\n call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)\n try:\n tree = check_output(['git', 'rev-parse', ref + '^{tree}'],\n universal_newlines=True)[0:-1]\n return tree\n except:\n app.log(this, 'ERROR: could not find tree for ref', ref)\n raise SystemExit\n\n\ndef copy_repo(repo, destdir):\n \"\"\"Copies a cached repository into a directory using cp.\n\n This also fixes up the repository afterwards, so that it can contain\n code etc. It does not leave any given branch ready for use.\n\n \"\"\"\n call(['cp', '-a', repo, os.path.join(destdir, '.git')])\n call(['git', 'config', 'core.bare', 'false'])\n call(['git', 'config', '--unset', 'remote.origin.mirror'])\n with open(os.devnull, 'w') as fnull:\n call(['git', 'config', 'remote.origin.fetch',\n '+refs/heads/*:refs/remotes/origin/*'], stdout=fnull, stderr=fnull)\n call(['git', 'config', 'remote.origin.url', repo])\n call(['git', 'pack-refs', '--all', '--prune'])\n with open(os.path.join(destdir, '.git', 'packed-refs'), 'r') as ref_fh:\n pack_lines = ref_fh.read().split('\\n')\n with open(os.path.join(destdir, '.git', 'packed-refs'), 'w') as ref_fh:\n ref_fh.write(pack_lines.pop(0) + '\\n')\n for refline in pack_lines:\n if ' refs/remotes/' in refline:\n continue\n if ' refs/heads/' in refline:\n sha, ref = refline[:40], refline[41:]\n if ref.startswith('refs/heads/'):\n ref = 'refs/remotes/origin/' + ref[11:]\n refline = '%s %s' % (sha, ref)\n ref_fh.write('%s\\n' % refline)\n with open(os.devnull, 'w') as fnull:\n call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,\n stderr=fnull)\n\n\n<mask token>\n\n\ndef checkout(name, repo, ref, checkoutdir):\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n if not os.path.exists(gitdir):\n mirror(name, repo)\n app.log(name, 'Upstream version:', get_upstream_version(repo, ref))\n app.log(name, 'Git checkout %s in %s' % (repo, checkoutdir))\n with app.chdir(checkoutdir), open(os.devnull, 'w') as fnull:\n copy_repo(gitdir, checkoutdir)\n if call(['git', 'checkout', ref], stdout=fnull, stderr=fnull):\n app.log(name, 'ERROR: git checkout failed for', ref)\n raise SystemExit\n if os.path.exists('.gitmodules'):\n checkout_submodules(name, ref)\n utils.set_mtime_recursively(checkoutdir)\n\n\ndef checkout_submodules(name, ref):\n app.log(name, 'Git submodules')\n with open('.gitmodules', 'r') as gitfile:\n content = '\\n'.join([l.strip() for l in gitfile.read().splitlines()])\n io = StringIO.StringIO(content)\n parser = ConfigParser.RawConfigParser()\n parser.readfp(io)\n for section in parser.sections():\n submodule = re.sub('submodule \"(.*)\"', '\\\\1', section)\n url = parser.get(section, 'url')\n path = parser.get(section, 'path')\n try:\n commit = check_output(['git', 'ls-tree', ref, path])\n fields = commit.split()\n if len(fields) >= 2 and fields[1] == 'commit':\n submodule_commit = commit.split()[2]\n if len(submodule_commit) != 40:\n raise Exception\n fulldir = os.path.join(os.getcwd(), path)\n checkout(submodule, url, submodule_commit, fulldir)\n else:\n app.log(this, \n 'Skipping submodule \"%s\" as %s:%s has a non-commit object for it'\n % (name, url))\n except:\n app.log(name, 'ERROR: Git submodules problem')\n raise SystemExit\n",
"step-3": "<mask token>\n\n\ndef get_repo_url(repo):\n url = repo.replace('upstream:', 'git://git.baserock.org/delta/')\n url = url.replace('baserock:baserock/',\n 'git://git.baserock.org/baserock/baserock/')\n url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')\n url = url.replace('github:', 'git://github.com/')\n url = url.replace('gnome:', 'git://git.gnome.org')\n if url.endswith('.git'):\n url = url[:-4]\n return url\n\n\ndef get_repo_name(repo):\n \"\"\" Convert URIs to strings that only contain digits, letters, _ and %.\n\n NOTE: When changing the code of this function, make sure to also apply\n the same to the quote_url() function of lorry. Otherwise the git tarballs\n generated by lorry may no longer be found by morph.\n\n \"\"\"\n valid_chars = string.digits + string.ascii_letters + '%_'\n transl = lambda x: x if x in valid_chars else '_'\n return ''.join([transl(x) for x in get_repo_url(repo)])\n\n\ndef get_upstream_version(repo, ref):\n try:\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n with app.chdir(gitdir), open(os.devnull, 'w') as fnull:\n last_tag = check_output(['git', 'describe', '--abbrev=0',\n '--tags', ref], stderr=fnull)[0:-1]\n commits = check_output(['git', 'rev-list', last_tag + '..' +\n ref, '--count'])\n result = '%s (%s + %s commits)' % (ref[:8], last_tag, commits[0:-1])\n except:\n result = ref[:8] + ' ' + '(No tag found)'\n return result\n\n\ndef get_tree(this):\n ref = this['ref']\n gitdir = os.path.join(app.settings['gits'], get_repo_name(this['repo']))\n if not os.path.exists(gitdir):\n try:\n url = app.settings['cache-server-url'] + 'repo=' + get_repo_url(\n this['repo']) + '&ref=' + ref\n with urllib2.urlopen(url) as response:\n tree = json.loads(response.read().decode())['tree']\n return tree\n except:\n app.log(this, 'WARNING: no tree from cache-server', ref)\n mirror(this['name'], this['repo'])\n with app.chdir(gitdir), open(os.devnull, 'w') as fnull:\n if call(['git', 'rev-parse', ref + '^{object}'], stdout=fnull,\n stderr=fnull):\n call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)\n try:\n tree = check_output(['git', 'rev-parse', ref + '^{tree}'],\n universal_newlines=True)[0:-1]\n return tree\n except:\n app.log(this, 'ERROR: could not find tree for ref', ref)\n raise SystemExit\n\n\ndef copy_repo(repo, destdir):\n \"\"\"Copies a cached repository into a directory using cp.\n\n This also fixes up the repository afterwards, so that it can contain\n code etc. It does not leave any given branch ready for use.\n\n \"\"\"\n call(['cp', '-a', repo, os.path.join(destdir, '.git')])\n call(['git', 'config', 'core.bare', 'false'])\n call(['git', 'config', '--unset', 'remote.origin.mirror'])\n with open(os.devnull, 'w') as fnull:\n call(['git', 'config', 'remote.origin.fetch',\n '+refs/heads/*:refs/remotes/origin/*'], stdout=fnull, stderr=fnull)\n call(['git', 'config', 'remote.origin.url', repo])\n call(['git', 'pack-refs', '--all', '--prune'])\n with open(os.path.join(destdir, '.git', 'packed-refs'), 'r') as ref_fh:\n pack_lines = ref_fh.read().split('\\n')\n with open(os.path.join(destdir, '.git', 'packed-refs'), 'w') as ref_fh:\n ref_fh.write(pack_lines.pop(0) + '\\n')\n for refline in pack_lines:\n if ' refs/remotes/' in refline:\n continue\n if ' refs/heads/' in refline:\n sha, ref = refline[:40], refline[41:]\n if ref.startswith('refs/heads/'):\n ref = 'refs/remotes/origin/' + ref[11:]\n refline = '%s %s' % (sha, ref)\n ref_fh.write('%s\\n' % refline)\n with open(os.devnull, 'w') as fnull:\n call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,\n stderr=fnull)\n\n\ndef mirror(name, repo):\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n repo_url = get_repo_url(repo)\n try:\n os.makedirs(gitdir)\n tar_file = get_repo_name(repo_url) + '.tar'\n app.log(name, 'Try fetching tarball %s' % tar_file)\n with app.chdir(gitdir), open(os.devnull, 'w') as fnull:\n call(['wget', app['tar-url']], stdout=fnull, stderr=fnull)\n call(['tar', 'xf', tar_file], stdout=fnull, stderr=fnull)\n os.remove(tar_file)\n call(['git', 'config', 'remote.origin.url', repo_url], stdout=\n fnull, stderr=fnull)\n call(['git', 'config', 'remote.origin.mirror', 'true'], stdout=\n fnull, stderr=fnull)\n if call(['git', 'config', 'remote.origin.fetch',\n '+refs/*:refs/*'], stdout=fnull, stderr=fnull) != 0:\n raise BaseException('Did not get a valid git repo')\n call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)\n except:\n app.log(name, 'Using git clone from ', repo_url)\n try:\n with open(os.devnull, 'w') as fnull:\n call(['git', 'clone', '--mirror', '-n', repo_url, gitdir],\n stdout=fnull, stderr=fnull)\n except:\n app.log(name, 'ERROR: failed to clone', repo)\n raise SystemExit\n app.log(name, 'Git repo is mirrored at', gitdir)\n\n\n<mask token>\n\n\ndef checkout(name, repo, ref, checkoutdir):\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n if not os.path.exists(gitdir):\n mirror(name, repo)\n app.log(name, 'Upstream version:', get_upstream_version(repo, ref))\n app.log(name, 'Git checkout %s in %s' % (repo, checkoutdir))\n with app.chdir(checkoutdir), open(os.devnull, 'w') as fnull:\n copy_repo(gitdir, checkoutdir)\n if call(['git', 'checkout', ref], stdout=fnull, stderr=fnull):\n app.log(name, 'ERROR: git checkout failed for', ref)\n raise SystemExit\n if os.path.exists('.gitmodules'):\n checkout_submodules(name, ref)\n utils.set_mtime_recursively(checkoutdir)\n\n\ndef checkout_submodules(name, ref):\n app.log(name, 'Git submodules')\n with open('.gitmodules', 'r') as gitfile:\n content = '\\n'.join([l.strip() for l in gitfile.read().splitlines()])\n io = StringIO.StringIO(content)\n parser = ConfigParser.RawConfigParser()\n parser.readfp(io)\n for section in parser.sections():\n submodule = re.sub('submodule \"(.*)\"', '\\\\1', section)\n url = parser.get(section, 'url')\n path = parser.get(section, 'path')\n try:\n commit = check_output(['git', 'ls-tree', ref, path])\n fields = commit.split()\n if len(fields) >= 2 and fields[1] == 'commit':\n submodule_commit = commit.split()[2]\n if len(submodule_commit) != 40:\n raise Exception\n fulldir = os.path.join(os.getcwd(), path)\n checkout(submodule, url, submodule_commit, fulldir)\n else:\n app.log(this, \n 'Skipping submodule \"%s\" as %s:%s has a non-commit object for it'\n % (name, url))\n except:\n app.log(name, 'ERROR: Git submodules problem')\n raise SystemExit\n",
"step-4": "import os\nimport app\nimport re\nfrom subprocess import call\nfrom subprocess import check_output\nimport string\nimport definitions\nimport urllib2\nimport json\nimport utils\nimport ConfigParser\nimport StringIO\nimport re\n\n\ndef get_repo_url(repo):\n url = repo.replace('upstream:', 'git://git.baserock.org/delta/')\n url = url.replace('baserock:baserock/',\n 'git://git.baserock.org/baserock/baserock/')\n url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')\n url = url.replace('github:', 'git://github.com/')\n url = url.replace('gnome:', 'git://git.gnome.org')\n if url.endswith('.git'):\n url = url[:-4]\n return url\n\n\ndef get_repo_name(repo):\n \"\"\" Convert URIs to strings that only contain digits, letters, _ and %.\n\n NOTE: When changing the code of this function, make sure to also apply\n the same to the quote_url() function of lorry. Otherwise the git tarballs\n generated by lorry may no longer be found by morph.\n\n \"\"\"\n valid_chars = string.digits + string.ascii_letters + '%_'\n transl = lambda x: x if x in valid_chars else '_'\n return ''.join([transl(x) for x in get_repo_url(repo)])\n\n\ndef get_upstream_version(repo, ref):\n try:\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n with app.chdir(gitdir), open(os.devnull, 'w') as fnull:\n last_tag = check_output(['git', 'describe', '--abbrev=0',\n '--tags', ref], stderr=fnull)[0:-1]\n commits = check_output(['git', 'rev-list', last_tag + '..' +\n ref, '--count'])\n result = '%s (%s + %s commits)' % (ref[:8], last_tag, commits[0:-1])\n except:\n result = ref[:8] + ' ' + '(No tag found)'\n return result\n\n\ndef get_tree(this):\n ref = this['ref']\n gitdir = os.path.join(app.settings['gits'], get_repo_name(this['repo']))\n if not os.path.exists(gitdir):\n try:\n url = app.settings['cache-server-url'] + 'repo=' + get_repo_url(\n this['repo']) + '&ref=' + ref\n with urllib2.urlopen(url) as response:\n tree = json.loads(response.read().decode())['tree']\n return tree\n except:\n app.log(this, 'WARNING: no tree from cache-server', ref)\n mirror(this['name'], this['repo'])\n with app.chdir(gitdir), open(os.devnull, 'w') as fnull:\n if call(['git', 'rev-parse', ref + '^{object}'], stdout=fnull,\n stderr=fnull):\n call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)\n try:\n tree = check_output(['git', 'rev-parse', ref + '^{tree}'],\n universal_newlines=True)[0:-1]\n return tree\n except:\n app.log(this, 'ERROR: could not find tree for ref', ref)\n raise SystemExit\n\n\ndef copy_repo(repo, destdir):\n \"\"\"Copies a cached repository into a directory using cp.\n\n This also fixes up the repository afterwards, so that it can contain\n code etc. It does not leave any given branch ready for use.\n\n \"\"\"\n call(['cp', '-a', repo, os.path.join(destdir, '.git')])\n call(['git', 'config', 'core.bare', 'false'])\n call(['git', 'config', '--unset', 'remote.origin.mirror'])\n with open(os.devnull, 'w') as fnull:\n call(['git', 'config', 'remote.origin.fetch',\n '+refs/heads/*:refs/remotes/origin/*'], stdout=fnull, stderr=fnull)\n call(['git', 'config', 'remote.origin.url', repo])\n call(['git', 'pack-refs', '--all', '--prune'])\n with open(os.path.join(destdir, '.git', 'packed-refs'), 'r') as ref_fh:\n pack_lines = ref_fh.read().split('\\n')\n with open(os.path.join(destdir, '.git', 'packed-refs'), 'w') as ref_fh:\n ref_fh.write(pack_lines.pop(0) + '\\n')\n for refline in pack_lines:\n if ' refs/remotes/' in refline:\n continue\n if ' refs/heads/' in refline:\n sha, ref = refline[:40], refline[41:]\n if ref.startswith('refs/heads/'):\n ref = 'refs/remotes/origin/' + ref[11:]\n refline = '%s %s' % (sha, ref)\n ref_fh.write('%s\\n' % refline)\n with open(os.devnull, 'w') as fnull:\n call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,\n stderr=fnull)\n\n\ndef mirror(name, repo):\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n repo_url = get_repo_url(repo)\n try:\n os.makedirs(gitdir)\n tar_file = get_repo_name(repo_url) + '.tar'\n app.log(name, 'Try fetching tarball %s' % tar_file)\n with app.chdir(gitdir), open(os.devnull, 'w') as fnull:\n call(['wget', app['tar-url']], stdout=fnull, stderr=fnull)\n call(['tar', 'xf', tar_file], stdout=fnull, stderr=fnull)\n os.remove(tar_file)\n call(['git', 'config', 'remote.origin.url', repo_url], stdout=\n fnull, stderr=fnull)\n call(['git', 'config', 'remote.origin.mirror', 'true'], stdout=\n fnull, stderr=fnull)\n if call(['git', 'config', 'remote.origin.fetch',\n '+refs/*:refs/*'], stdout=fnull, stderr=fnull) != 0:\n raise BaseException('Did not get a valid git repo')\n call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)\n except:\n app.log(name, 'Using git clone from ', repo_url)\n try:\n with open(os.devnull, 'w') as fnull:\n call(['git', 'clone', '--mirror', '-n', repo_url, gitdir],\n stdout=fnull, stderr=fnull)\n except:\n app.log(name, 'ERROR: failed to clone', repo)\n raise SystemExit\n app.log(name, 'Git repo is mirrored at', gitdir)\n\n\ndef fetch(repo):\n with app.chdir(repo), open(os.devnull, 'w') as fnull:\n call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)\n\n\ndef checkout(name, repo, ref, checkoutdir):\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n if not os.path.exists(gitdir):\n mirror(name, repo)\n app.log(name, 'Upstream version:', get_upstream_version(repo, ref))\n app.log(name, 'Git checkout %s in %s' % (repo, checkoutdir))\n with app.chdir(checkoutdir), open(os.devnull, 'w') as fnull:\n copy_repo(gitdir, checkoutdir)\n if call(['git', 'checkout', ref], stdout=fnull, stderr=fnull):\n app.log(name, 'ERROR: git checkout failed for', ref)\n raise SystemExit\n if os.path.exists('.gitmodules'):\n checkout_submodules(name, ref)\n utils.set_mtime_recursively(checkoutdir)\n\n\ndef checkout_submodules(name, ref):\n app.log(name, 'Git submodules')\n with open('.gitmodules', 'r') as gitfile:\n content = '\\n'.join([l.strip() for l in gitfile.read().splitlines()])\n io = StringIO.StringIO(content)\n parser = ConfigParser.RawConfigParser()\n parser.readfp(io)\n for section in parser.sections():\n submodule = re.sub('submodule \"(.*)\"', '\\\\1', section)\n url = parser.get(section, 'url')\n path = parser.get(section, 'path')\n try:\n commit = check_output(['git', 'ls-tree', ref, path])\n fields = commit.split()\n if len(fields) >= 2 and fields[1] == 'commit':\n submodule_commit = commit.split()[2]\n if len(submodule_commit) != 40:\n raise Exception\n fulldir = os.path.join(os.getcwd(), path)\n checkout(submodule, url, submodule_commit, fulldir)\n else:\n app.log(this, \n 'Skipping submodule \"%s\" as %s:%s has a non-commit object for it'\n % (name, url))\n except:\n app.log(name, 'ERROR: Git submodules problem')\n raise SystemExit\n",
"step-5": "#!/usr/bin/env python3\n#\n# Copyright (C) 2011-2015 Codethink Limited\n#\n# This program is free software; you can redistribute it and/or modify\n# it under the terms of the GNU General Public License as published by\n# the Free Software Foundation; version 2 of the License.\n#\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n#\n# You should have received a copy of the GNU General Public License along\n# with this program; if not, write to the Free Software Foundation, Inc.,\n# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.\n#\n# =*= License: GPL-2 =*=\n\nimport os\nimport app\nimport re\nfrom subprocess import call\nfrom subprocess import check_output\nimport string\nimport definitions\nimport urllib2\nimport json\nimport utils\nimport ConfigParser\nimport StringIO\nimport re\n\n\ndef get_repo_url(repo):\n url = repo.replace('upstream:', 'git://git.baserock.org/delta/')\n url = url.replace('baserock:baserock/',\n 'git://git.baserock.org/baserock/baserock/')\n url = url.replace('freedesktop:', 'git://anongit.freedesktop.org/')\n url = url.replace('github:', 'git://github.com/')\n url = url.replace('gnome:', 'git://git.gnome.org')\n if url.endswith('.git'):\n url = url[:-4]\n return url\n\n\ndef get_repo_name(repo):\n ''' Convert URIs to strings that only contain digits, letters, _ and %.\n\n NOTE: When changing the code of this function, make sure to also apply\n the same to the quote_url() function of lorry. Otherwise the git tarballs\n generated by lorry may no longer be found by morph.\n\n '''\n valid_chars = string.digits + string.ascii_letters + '%_'\n transl = lambda x: x if x in valid_chars else '_'\n return ''.join([transl(x) for x in get_repo_url(repo)])\n\n\ndef get_upstream_version(repo, ref):\n try:\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n with app.chdir(gitdir), open(os.devnull, \"w\") as fnull:\n last_tag = check_output(['git', 'describe', '--abbrev=0',\n '--tags', ref], stderr=fnull)[0:-1]\n commits = check_output(['git', 'rev-list', last_tag + '..' + ref,\n '--count'])\n\n result = \"%s (%s + %s commits)\" % (ref[:8], last_tag, commits[0:-1])\n except:\n result = ref[:8] + \" \" + \"(No tag found)\"\n\n return result\n\n\ndef get_tree(this):\n ref = this['ref']\n gitdir = os.path.join(app.settings['gits'], get_repo_name(this['repo']))\n if not os.path.exists(gitdir):\n try:\n url = (app.settings['cache-server-url'] + 'repo='\n + get_repo_url(this['repo']) + '&ref=' + ref)\n with urllib2.urlopen(url) as response:\n tree = json.loads(response.read().decode())['tree']\n return tree\n except:\n app.log(this, 'WARNING: no tree from cache-server', ref)\n mirror(this['name'], this['repo'])\n\n with app.chdir(gitdir), open(os.devnull, \"w\") as fnull:\n if call(['git', 'rev-parse', ref + '^{object}'], stdout=fnull,\n stderr=fnull):\n # can't resolve this ref. is it upstream?\n call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)\n\n try:\n tree = check_output(['git', 'rev-parse', ref + '^{tree}'],\n universal_newlines=True)[0:-1]\n return tree\n\n except:\n # either we don't have a git dir, or ref is not unique\n # or ref does not exist\n\n app.log(this, 'ERROR: could not find tree for ref', ref)\n raise SystemExit\n\n\ndef copy_repo(repo, destdir):\n '''Copies a cached repository into a directory using cp.\n\n This also fixes up the repository afterwards, so that it can contain\n code etc. It does not leave any given branch ready for use.\n\n '''\n\n # core.bare should be false so that git believes work trees are possible\n # we do not want the origin remote to behave as a mirror for pulls\n # we want a traditional refs/heads -> refs/remotes/origin ref mapping\n # set the origin url to the cached repo so that we can quickly clean up\n # by packing the refs, we can then edit then en-masse easily\n call(['cp', '-a', repo, os.path.join(destdir, '.git')])\n call(['git', 'config', 'core.bare', 'false'])\n call(['git', 'config', '--unset', 'remote.origin.mirror'])\n with open(os.devnull, \"w\") as fnull:\n call(['git', 'config', 'remote.origin.fetch',\n '+refs/heads/*:refs/remotes/origin/*'],\n stdout=fnull,\n stderr=fnull)\n call(['git', 'config', 'remote.origin.url', repo])\n call(['git', 'pack-refs', '--all', '--prune'])\n\n # turn refs/heads/* into refs/remotes/origin/* in the packed refs\n # so that the new copy behaves more like a traditional clone.\n with open(os.path.join(destdir, \".git\", \"packed-refs\"), \"r\") as ref_fh:\n pack_lines = ref_fh.read().split(\"\\n\")\n with open(os.path.join(destdir, \".git\", \"packed-refs\"), \"w\") as ref_fh:\n ref_fh.write(pack_lines.pop(0) + \"\\n\")\n for refline in pack_lines:\n if ' refs/remotes/' in refline:\n continue\n if ' refs/heads/' in refline:\n sha, ref = refline[:40], refline[41:]\n if ref.startswith(\"refs/heads/\"):\n ref = \"refs/remotes/origin/\" + ref[11:]\n refline = \"%s %s\" % (sha, ref)\n ref_fh.write(\"%s\\n\" % (refline))\n # Finally run a remote update to clear up the refs ready for use.\n with open(os.devnull, \"w\") as fnull:\n call(['git', 'remote', 'update', 'origin', '--prune'], stdout=fnull,\n stderr=fnull)\n\n\ndef mirror(name, repo):\n # try tarball first\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n repo_url = get_repo_url(repo)\n try:\n os.makedirs(gitdir)\n tar_file = get_repo_name(repo_url) + '.tar'\n app.log(name, 'Try fetching tarball %s' % tar_file)\n with app.chdir(gitdir), open(os.devnull, \"w\") as fnull:\n call(['wget', app['tar-url']], stdout=fnull, stderr=fnull)\n call(['tar', 'xf', tar_file], stdout=fnull, stderr=fnull)\n os.remove(tar_file)\n call(['git', 'config', 'remote.origin.url', repo_url],\n stdout=fnull, stderr=fnull)\n call(['git', 'config', 'remote.origin.mirror', 'true'],\n stdout=fnull, stderr=fnull)\n if call(['git', 'config', 'remote.origin.fetch',\n '+refs/*:refs/*'],\n stdout=fnull, stderr=fnull) != 0:\n raise BaseException('Did not get a valid git repo')\n call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)\n except:\n app.log(name, 'Using git clone from ', repo_url)\n try:\n with open(os.devnull, \"w\") as fnull:\n call(['git', 'clone', '--mirror', '-n', repo_url, gitdir],\n stdout=fnull, stderr=fnull)\n except:\n app.log(name, 'ERROR: failed to clone', repo)\n raise SystemExit\n\n app.log(name, 'Git repo is mirrored at', gitdir)\n\n\ndef fetch(repo):\n with app.chdir(repo), open(os.devnull, \"w\") as fnull:\n call(['git', 'fetch', 'origin'], stdout=fnull, stderr=fnull)\n\n\ndef checkout(name, repo, ref, checkoutdir):\n gitdir = os.path.join(app.settings['gits'], get_repo_name(repo))\n if not os.path.exists(gitdir):\n mirror(name, repo)\n app.log(name, 'Upstream version:', get_upstream_version(repo, ref))\n app.log(name, 'Git checkout %s in %s' % (repo, checkoutdir))\n # checkout the required version of this from git\n with app.chdir(checkoutdir), open(os.devnull, \"w\") as fnull:\n copy_repo(gitdir, checkoutdir)\n if call(['git', 'checkout', ref], stdout=fnull, stderr=fnull):\n app.log(name, 'ERROR: git checkout failed for', ref)\n raise SystemExit\n\n if os.path.exists('.gitmodules'):\n checkout_submodules(name, ref)\n\n utils.set_mtime_recursively(checkoutdir)\n\n\ndef checkout_submodules(name, ref):\n app.log(name, 'Git submodules')\n with open('.gitmodules', \"r\") as gitfile:\n # drop indentation in sections, as RawConfigParser cannot handle it\n content = '\\n'.join([l.strip() for l in gitfile.read().splitlines()])\n io = StringIO.StringIO(content)\n parser = ConfigParser.RawConfigParser()\n parser.readfp(io)\n\n for section in parser.sections():\n # validate section name against the 'submodule \"foo\"' pattern\n submodule = re.sub(r'submodule \"(.*)\"', r'\\1', section)\n url = parser.get(section, 'url')\n path = parser.get(section, 'path')\n\n try:\n # list objects in the parent repo tree to find the commit\n # object that corresponds to the submodule\n commit = check_output(['git', 'ls-tree', ref, path])\n\n # read the commit hash from the output\n fields = commit.split()\n if len(fields) >= 2 and fields[1] == 'commit':\n submodule_commit = commit.split()[2]\n\n # fail if the commit hash is invalid\n if len(submodule_commit) != 40:\n raise Exception\n\n fulldir = os.path.join(os.getcwd(), path)\n checkout(submodule, url, submodule_commit, fulldir)\n\n else:\n app.log(this, 'Skipping submodule \"%s\" as %s:%s has '\n 'a non-commit object for it' % (name, url))\n\n except:\n app.log(name, \"ERROR: Git submodules problem\")\n raise SystemExit\n",
"step-ids": [
5,
7,
8,
10,
11
]
}
|
[
5,
7,
8,
10,
11
] |
import rospy
#: the parameter namespace for the arni_countermeasure node
ARNI_CTM_NS = "arni/countermeasure/"
#: the parameter namespace for configuration files
#: of the arni_countermeasure node
ARNI_CTM_CFG_NS = ARNI_CTM_NS + "config/"
def get_param_num(param):
#dummy val
value = 1
try:
value = rospy.get_param(param)
if not isinstance(value, (int, float, long)):
err_msg = (
"Param %s is not an number" % param)
rospy.logerr(err_msg)
rospy.signal_shutdown(err_msg)
except KeyError:
err_msg = (
"Param %s is not set" % param
+ " and its default value has been forcefully removed")
rospy.logerr(err_msg)
rospy.signal_shutdown(err_msg)
return value
def get_param_duration(param):
"""Calls rospy.get_param and logs errors.
Logs if the param does not exist or is not parsable to rospy.Durotation.
And calls rospy.signal_shutdown if the value is invalid/not existing.
:return: The Param param from the parameter server.
:rtype: rospy.Duration
"""
# dummy value
value = rospy.Duration(1)
try:
# only a default value in case the param gets fuzzed.
value = rospy.Duration(get_param_num(param))
except ValueError:
err_msg = (
"Param %s has the invalid value '%s'."
% (param, rospy.get_param(param)))
rospy.logerr(err_msg)
rospy.signal_shutdown(err_msg)
value = rospy.Duration(1)
return value
|
normal
|
{
"blob_id": "70c9d75dabfa9eac23e34f94f34d39c08e21b3c0",
"index": 6070,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef get_param_num(param):\n value = 1\n try:\n value = rospy.get_param(param)\n if not isinstance(value, (int, float, long)):\n err_msg = 'Param %s is not an number' % param\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n except KeyError:\n err_msg = ('Param %s is not set' % param +\n ' and its default value has been forcefully removed')\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n return value\n\n\ndef get_param_duration(param):\n \"\"\"Calls rospy.get_param and logs errors.\n\n Logs if the param does not exist or is not parsable to rospy.Durotation.\n And calls rospy.signal_shutdown if the value is invalid/not existing.\n\n :return: The Param param from the parameter server.\n :rtype: rospy.Duration\n\n \"\"\"\n value = rospy.Duration(1)\n try:\n value = rospy.Duration(get_param_num(param))\n except ValueError:\n err_msg = \"Param %s has the invalid value '%s'.\" % (param, rospy.\n get_param(param))\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n value = rospy.Duration(1)\n return value\n",
"step-3": "<mask token>\nARNI_CTM_NS = 'arni/countermeasure/'\nARNI_CTM_CFG_NS = ARNI_CTM_NS + 'config/'\n\n\ndef get_param_num(param):\n value = 1\n try:\n value = rospy.get_param(param)\n if not isinstance(value, (int, float, long)):\n err_msg = 'Param %s is not an number' % param\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n except KeyError:\n err_msg = ('Param %s is not set' % param +\n ' and its default value has been forcefully removed')\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n return value\n\n\ndef get_param_duration(param):\n \"\"\"Calls rospy.get_param and logs errors.\n\n Logs if the param does not exist or is not parsable to rospy.Durotation.\n And calls rospy.signal_shutdown if the value is invalid/not existing.\n\n :return: The Param param from the parameter server.\n :rtype: rospy.Duration\n\n \"\"\"\n value = rospy.Duration(1)\n try:\n value = rospy.Duration(get_param_num(param))\n except ValueError:\n err_msg = \"Param %s has the invalid value '%s'.\" % (param, rospy.\n get_param(param))\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n value = rospy.Duration(1)\n return value\n",
"step-4": "import rospy\nARNI_CTM_NS = 'arni/countermeasure/'\nARNI_CTM_CFG_NS = ARNI_CTM_NS + 'config/'\n\n\ndef get_param_num(param):\n value = 1\n try:\n value = rospy.get_param(param)\n if not isinstance(value, (int, float, long)):\n err_msg = 'Param %s is not an number' % param\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n except KeyError:\n err_msg = ('Param %s is not set' % param +\n ' and its default value has been forcefully removed')\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n return value\n\n\ndef get_param_duration(param):\n \"\"\"Calls rospy.get_param and logs errors.\n\n Logs if the param does not exist or is not parsable to rospy.Durotation.\n And calls rospy.signal_shutdown if the value is invalid/not existing.\n\n :return: The Param param from the parameter server.\n :rtype: rospy.Duration\n\n \"\"\"\n value = rospy.Duration(1)\n try:\n value = rospy.Duration(get_param_num(param))\n except ValueError:\n err_msg = \"Param %s has the invalid value '%s'.\" % (param, rospy.\n get_param(param))\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n value = rospy.Duration(1)\n return value\n",
"step-5": "import rospy\n\n#: the parameter namespace for the arni_countermeasure node\nARNI_CTM_NS = \"arni/countermeasure/\"\n\n#: the parameter namespace for configuration files\n#: of the arni_countermeasure node\nARNI_CTM_CFG_NS = ARNI_CTM_NS + \"config/\"\n\n\ndef get_param_num(param):\n\n #dummy val\n value = 1\n try:\n value = rospy.get_param(param)\n if not isinstance(value, (int, float, long)):\n err_msg = (\n \"Param %s is not an number\" % param)\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n except KeyError:\n err_msg = (\n \"Param %s is not set\" % param\n + \" and its default value has been forcefully removed\")\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n return value\n\n\ndef get_param_duration(param):\n \"\"\"Calls rospy.get_param and logs errors.\n\n Logs if the param does not exist or is not parsable to rospy.Durotation.\n And calls rospy.signal_shutdown if the value is invalid/not existing.\n\n :return: The Param param from the parameter server.\n :rtype: rospy.Duration\n\n \"\"\"\n\n # dummy value\n value = rospy.Duration(1)\n\n try:\n # only a default value in case the param gets fuzzed.\n value = rospy.Duration(get_param_num(param))\n except ValueError:\n err_msg = (\n \"Param %s has the invalid value '%s'.\"\n % (param, rospy.get_param(param)))\n rospy.logerr(err_msg)\n rospy.signal_shutdown(err_msg)\n value = rospy.Duration(1)\n return value\n",
"step-ids": [
0,
2,
3,
4,
5
]
}
|
[
0,
2,
3,
4,
5
] |
import sys
filepath = 'input.txt'
def intersection(list1, list2):
return set(list1).intersection(list2)
def computeSteps(x, y, step, steps):
# build dictionary with steps for each point
curr = 0
if (x,y) in steps:
curr = steps.get((x,y))
steps[(x,y)] = step + curr
def buildPoints(wire, steps):
points = []
x, y = 0, 0
s = 0
for p in wire:
direction = p[0]
step = int(p[1:])
if direction == 'D':
for i in range(0, step):
y -= 1
points.append((x,y))
s += 1
computeSteps(x, y, s, steps)
elif direction == 'U':
for i in range(0, step):
y += 1
points.append((x,y))
s += 1
computeSteps(x, y, s, steps)
elif direction == 'L':
for i in range(0, step):
x -= 1
points.append((x,y))
s += 1
computeSteps(x, y, s, steps)
elif direction == 'R':
for i in range(0, step):
x += 1
points.append((x,y))
s += 1
computeSteps(x, y, s, steps)
#end for
return points
with open(filepath) as fp:
steps = {}
port = (0,0)
wire1 = fp.readline().strip().split(',')
wire2 = fp.readline().strip().split(',')
point1 = buildPoints(wire1, steps)
point2 = buildPoints(wire2, steps)
commonPoints = intersection(point1, point2)
min = sys.maxsize
for k in commonPoints:
val = steps.get(k)
if val < min:
min = val
print(min)
|
normal
|
{
"blob_id": "e9e119dd69f9416e007e748d7f494741140efc8e",
"index": 8182,
"step-1": "<mask token>\n\n\ndef intersection(list1, list2):\n return set(list1).intersection(list2)\n\n\ndef computeSteps(x, y, step, steps):\n curr = 0\n if (x, y) in steps:\n curr = steps.get((x, y))\n steps[x, y] = step + curr\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef intersection(list1, list2):\n return set(list1).intersection(list2)\n\n\ndef computeSteps(x, y, step, steps):\n curr = 0\n if (x, y) in steps:\n curr = steps.get((x, y))\n steps[x, y] = step + curr\n\n\ndef buildPoints(wire, steps):\n points = []\n x, y = 0, 0\n s = 0\n for p in wire:\n direction = p[0]\n step = int(p[1:])\n if direction == 'D':\n for i in range(0, step):\n y -= 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n elif direction == 'U':\n for i in range(0, step):\n y += 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n elif direction == 'L':\n for i in range(0, step):\n x -= 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n elif direction == 'R':\n for i in range(0, step):\n x += 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n return points\n\n\nwith open(filepath) as fp:\n steps = {}\n port = 0, 0\n wire1 = fp.readline().strip().split(',')\n wire2 = fp.readline().strip().split(',')\n point1 = buildPoints(wire1, steps)\n point2 = buildPoints(wire2, steps)\n commonPoints = intersection(point1, point2)\n min = sys.maxsize\n for k in commonPoints:\n val = steps.get(k)\n if val < min:\n min = val\n print(min)\n",
"step-3": "<mask token>\nfilepath = 'input.txt'\n\n\ndef intersection(list1, list2):\n return set(list1).intersection(list2)\n\n\ndef computeSteps(x, y, step, steps):\n curr = 0\n if (x, y) in steps:\n curr = steps.get((x, y))\n steps[x, y] = step + curr\n\n\ndef buildPoints(wire, steps):\n points = []\n x, y = 0, 0\n s = 0\n for p in wire:\n direction = p[0]\n step = int(p[1:])\n if direction == 'D':\n for i in range(0, step):\n y -= 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n elif direction == 'U':\n for i in range(0, step):\n y += 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n elif direction == 'L':\n for i in range(0, step):\n x -= 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n elif direction == 'R':\n for i in range(0, step):\n x += 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n return points\n\n\nwith open(filepath) as fp:\n steps = {}\n port = 0, 0\n wire1 = fp.readline().strip().split(',')\n wire2 = fp.readline().strip().split(',')\n point1 = buildPoints(wire1, steps)\n point2 = buildPoints(wire2, steps)\n commonPoints = intersection(point1, point2)\n min = sys.maxsize\n for k in commonPoints:\n val = steps.get(k)\n if val < min:\n min = val\n print(min)\n",
"step-4": "import sys\nfilepath = 'input.txt'\n\n\ndef intersection(list1, list2):\n return set(list1).intersection(list2)\n\n\ndef computeSteps(x, y, step, steps):\n curr = 0\n if (x, y) in steps:\n curr = steps.get((x, y))\n steps[x, y] = step + curr\n\n\ndef buildPoints(wire, steps):\n points = []\n x, y = 0, 0\n s = 0\n for p in wire:\n direction = p[0]\n step = int(p[1:])\n if direction == 'D':\n for i in range(0, step):\n y -= 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n elif direction == 'U':\n for i in range(0, step):\n y += 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n elif direction == 'L':\n for i in range(0, step):\n x -= 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n elif direction == 'R':\n for i in range(0, step):\n x += 1\n points.append((x, y))\n s += 1\n computeSteps(x, y, s, steps)\n return points\n\n\nwith open(filepath) as fp:\n steps = {}\n port = 0, 0\n wire1 = fp.readline().strip().split(',')\n wire2 = fp.readline().strip().split(',')\n point1 = buildPoints(wire1, steps)\n point2 = buildPoints(wire2, steps)\n commonPoints = intersection(point1, point2)\n min = sys.maxsize\n for k in commonPoints:\n val = steps.get(k)\n if val < min:\n min = val\n print(min)\n",
"step-5": "import sys\r\nfilepath = 'input.txt' \r\n\r\ndef intersection(list1, list2): \r\n return set(list1).intersection(list2) \r\n\r\ndef computeSteps(x, y, step, steps):\r\n # build dictionary with steps for each point\r\n curr = 0\r\n if (x,y) in steps:\r\n curr = steps.get((x,y)) \r\n steps[(x,y)] = step + curr\r\n\r\n \r\ndef buildPoints(wire, steps):\r\n points = []\r\n x, y = 0, 0\r\n s = 0\r\n for p in wire:\r\n direction = p[0]\r\n step = int(p[1:])\r\n if direction == 'D':\r\n for i in range(0, step):\r\n y -= 1\r\n points.append((x,y)) \r\n s += 1 \r\n computeSteps(x, y, s, steps) \r\n elif direction == 'U':\r\n for i in range(0, step):\r\n y += 1\r\n points.append((x,y)) \r\n s += 1 \r\n computeSteps(x, y, s, steps) \r\n elif direction == 'L':\r\n for i in range(0, step):\r\n x -= 1\r\n points.append((x,y))\r\n s += 1 \r\n computeSteps(x, y, s, steps) \r\n elif direction == 'R':\r\n for i in range(0, step):\r\n x += 1\r\n points.append((x,y))\r\n s += 1 \r\n computeSteps(x, y, s, steps) \r\n \r\n #end for\r\n return points\r\n\r\nwith open(filepath) as fp: \t \r\n steps = {} \r\n port = (0,0)\r\n wire1 = fp.readline().strip().split(',')\r\n wire2 = fp.readline().strip().split(',')\r\n point1 = buildPoints(wire1, steps)\r\n point2 = buildPoints(wire2, steps)\r\n \r\n commonPoints = intersection(point1, point2)\r\n\r\n min = sys.maxsize\r\n for k in commonPoints:\r\n val = steps.get(k)\r\n if val < min:\r\n min = val\r\n \r\n print(min)\r\n \r\n",
"step-ids": [
2,
4,
5,
6,
7
]
}
|
[
2,
4,
5,
6,
7
] |
<|reserved_special_token_0|>
def plot_loss(history):
plt.plot(history.history['loss'], label='loss')
plt.plot(history.history['val_loss'], label='val_loss')
plt.ylim([0, 10])
plt.xlabel('Epoch')
plt.ylabel('Error')
plt.legend()
plt.grid(True)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def plot_loss(history):
plt.plot(history.history['loss'], label='loss')
plt.plot(history.history['val_loss'], label='val_loss')
plt.ylim([0, 10])
plt.xlabel('Epoch')
plt.ylabel('Error')
plt.legend()
plt.grid(True)
<|reserved_special_token_0|>
with open(
'C:\\Users\\owenb\\Desktop\\experiment results\\agent3_data\\actions.csv',
newline='') as csvfile:
reader = csv.reader(csvfile, dialect='excel')
for x in reader:
outputs.append(x)
with open(
'C:\\Users\\owenb\\Desktop\\experiment results\\agent3_data\\messages_3_2.csv'
, newline='') as csvfile:
reader = csv.reader(csvfile, dialect='excel')
for x in reader:
inputs.append(x)
<|reserved_special_token_0|>
del dataset[8500:]
<|reserved_special_token_0|>
for x in range(len(train_features)):
train_features[x] = np.array(np.expand_dims([float(y) for y in
train_features[x]], axis=0))
train_labels[x] = np.array(np.expand_dims([float(y) for y in
train_labels[x]], axis=0))
<|reserved_special_token_0|>
for x in range(len(test_features)):
test_features[x] = np.array(np.expand_dims([float(y) for y in
test_features[x]], axis=0))
test_labels[x] = np.array(np.expand_dims([float(y) for y in test_labels
[x]], axis=0))
<|reserved_special_token_0|>
normalizer.adapt(train_features)
<|reserved_special_token_0|>
linear_model.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),
loss='mean_absolute_error')
<|reserved_special_token_0|>
plot_loss(history)
<|reserved_special_token_0|>
print('agent 3-2 post train error=' + str(test_results))
linear_model.save('agent3-2.h5')
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def plot_loss(history):
plt.plot(history.history['loss'], label='loss')
plt.plot(history.history['val_loss'], label='val_loss')
plt.ylim([0, 10])
plt.xlabel('Epoch')
plt.ylabel('Error')
plt.legend()
plt.grid(True)
outputs = []
inputs = []
with open(
'C:\\Users\\owenb\\Desktop\\experiment results\\agent3_data\\actions.csv',
newline='') as csvfile:
reader = csv.reader(csvfile, dialect='excel')
for x in reader:
outputs.append(x)
with open(
'C:\\Users\\owenb\\Desktop\\experiment results\\agent3_data\\messages_3_2.csv'
, newline='') as csvfile:
reader = csv.reader(csvfile, dialect='excel')
for x in reader:
inputs.append(x)
dataset = [[inputs[x], outputs[x]] for x in range(len(inputs))]
del dataset[8500:]
length = int(len(dataset) * 0.8)
train_dataset = random.sample(dataset, length)
test_dataset = [y for y in dataset if y not in train_dataset]
train_features = [x[0] for x in train_dataset]
train_labels = [x[1] for x in train_dataset]
test_features = [x[0] for x in test_dataset]
test_labels = [x[1] for x in test_dataset]
for x in range(len(train_features)):
train_features[x] = np.array(np.expand_dims([float(y) for y in
train_features[x]], axis=0))
train_labels[x] = np.array(np.expand_dims([float(y) for y in
train_labels[x]], axis=0))
train_features = np.array(train_features)
train_labels = np.array(train_labels)
for x in range(len(test_features)):
test_features[x] = np.array(np.expand_dims([float(y) for y in
test_features[x]], axis=0))
test_labels[x] = np.array(np.expand_dims([float(y) for y in test_labels
[x]], axis=0))
test_features = np.array(test_features)
test_labels = np.array(test_labels)
normalizer = preprocessing.Normalization(input_shape=(1, 100))
normalizer.adapt(train_features)
linear_model = tf.keras.Sequential([normalizer, tf.keras.layers.Dense(6)])
linear_model.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),
loss='mean_absolute_error')
history = linear_model.fit(x=train_features, y=train_labels, epochs=100,
verbose=0, validation_split=0.2)
plot_loss(history)
test_results = linear_model.evaluate(test_features, test_labels, verbose=1)
print('agent 3-2 post train error=' + str(test_results))
linear_model.save('agent3-2.h5')
<|reserved_special_token_1|>
import tensorflow as tf
import csv
from tensorflow.keras import layers
from tensorflow.keras.layers.experimental import preprocessing
import pandas as pd
import numpy as np
import random
import matplotlib.pyplot as plt
import math
def plot_loss(history):
plt.plot(history.history['loss'], label='loss')
plt.plot(history.history['val_loss'], label='val_loss')
plt.ylim([0, 10])
plt.xlabel('Epoch')
plt.ylabel('Error')
plt.legend()
plt.grid(True)
outputs = []
inputs = []
with open(
'C:\\Users\\owenb\\Desktop\\experiment results\\agent3_data\\actions.csv',
newline='') as csvfile:
reader = csv.reader(csvfile, dialect='excel')
for x in reader:
outputs.append(x)
with open(
'C:\\Users\\owenb\\Desktop\\experiment results\\agent3_data\\messages_3_2.csv'
, newline='') as csvfile:
reader = csv.reader(csvfile, dialect='excel')
for x in reader:
inputs.append(x)
dataset = [[inputs[x], outputs[x]] for x in range(len(inputs))]
del dataset[8500:]
length = int(len(dataset) * 0.8)
train_dataset = random.sample(dataset, length)
test_dataset = [y for y in dataset if y not in train_dataset]
train_features = [x[0] for x in train_dataset]
train_labels = [x[1] for x in train_dataset]
test_features = [x[0] for x in test_dataset]
test_labels = [x[1] for x in test_dataset]
for x in range(len(train_features)):
train_features[x] = np.array(np.expand_dims([float(y) for y in
train_features[x]], axis=0))
train_labels[x] = np.array(np.expand_dims([float(y) for y in
train_labels[x]], axis=0))
train_features = np.array(train_features)
train_labels = np.array(train_labels)
for x in range(len(test_features)):
test_features[x] = np.array(np.expand_dims([float(y) for y in
test_features[x]], axis=0))
test_labels[x] = np.array(np.expand_dims([float(y) for y in test_labels
[x]], axis=0))
test_features = np.array(test_features)
test_labels = np.array(test_labels)
normalizer = preprocessing.Normalization(input_shape=(1, 100))
normalizer.adapt(train_features)
linear_model = tf.keras.Sequential([normalizer, tf.keras.layers.Dense(6)])
linear_model.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),
loss='mean_absolute_error')
history = linear_model.fit(x=train_features, y=train_labels, epochs=100,
verbose=0, validation_split=0.2)
plot_loss(history)
test_results = linear_model.evaluate(test_features, test_labels, verbose=1)
print('agent 3-2 post train error=' + str(test_results))
linear_model.save('agent3-2.h5')
<|reserved_special_token_1|>
import tensorflow as tf
import csv
from tensorflow.keras import layers
from tensorflow.keras.layers.experimental import preprocessing
import pandas as pd
import numpy as np
import random
import matplotlib.pyplot as plt
import math
def plot_loss(history):
plt.plot(history.history['loss'], label='loss')
plt.plot(history.history['val_loss'], label='val_loss')
plt.ylim([0, 10])
plt.xlabel('Epoch')
plt.ylabel('Error')
plt.legend()
plt.grid(True)
#get data
outputs=[]
inputs=[]
with open('C:\\Users\\owenb\\Desktop\\experiment results\\agent3_data\\actions.csv',newline='') as csvfile:
reader=csv.reader(csvfile,dialect='excel')
for x in reader:
outputs.append(x)
with open('C:\\Users\\owenb\\Desktop\\experiment results\\agent3_data\\messages_3_2.csv',newline='') as csvfile:
reader=csv.reader(csvfile,dialect='excel')
for x in reader:
inputs.append(x)
dataset=[[inputs[x],outputs[x]] for x in range(len(inputs))]
del dataset[8500:]
#process data
length=int(len(dataset)*0.8)
train_dataset=random.sample(dataset,length)
test_dataset=[y for y in dataset if y not in train_dataset]
train_features=[x[0] for x in train_dataset]
train_labels=[x[1] for x in train_dataset]
test_features=[x[0] for x in test_dataset]
test_labels=[x[1] for x in test_dataset]
for x in range(len(train_features)):
train_features[x]=np.array(np.expand_dims([float(y) for y in train_features[x]], axis=0))
train_labels[x]=np.array(np.expand_dims([float(y) for y in train_labels[x]], axis=0))
train_features=np.array(train_features)
train_labels=np.array(train_labels)
for x in range(len(test_features)):
test_features[x]=np.array(np.expand_dims([float(y) for y in test_features[x]], axis=0))
test_labels[x]=np.array(np.expand_dims([float(y) for y in test_labels[x]], axis=0))
test_features=np.array(test_features)
test_labels=np.array(test_labels)
#make model
#message=tf.keras.Input(shape=(1,100))
#predictor_layer=tf.keras.layers.Dense(6,activation='relu',use_bias=True)(message)
#linear_model=tf.keras.Model(inputs=message,outputs=predictor_layer)
normalizer=preprocessing.Normalization(input_shape=(1, 100))
normalizer.adapt(train_features)
linear_model=tf.keras.Sequential([normalizer,tf.keras.layers.Dense(6)])
linear_model.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),loss='mean_absolute_error')
#train model
history = linear_model.fit(x=train_features, y=train_labels, epochs=100,verbose=0,validation_split = 0.2)
plot_loss(history)
#test model
test_results = linear_model.evaluate(test_features, test_labels, verbose=1)
print("agent 3-2 post train error="+str(test_results))
linear_model.save('agent3-2.h5')
|
flexible
|
{
"blob_id": "196147d7b2b0cf7176b5baa50d7e7618f88df493",
"index": 7911,
"step-1": "<mask token>\n\n\ndef plot_loss(history):\n plt.plot(history.history['loss'], label='loss')\n plt.plot(history.history['val_loss'], label='val_loss')\n plt.ylim([0, 10])\n plt.xlabel('Epoch')\n plt.ylabel('Error')\n plt.legend()\n plt.grid(True)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef plot_loss(history):\n plt.plot(history.history['loss'], label='loss')\n plt.plot(history.history['val_loss'], label='val_loss')\n plt.ylim([0, 10])\n plt.xlabel('Epoch')\n plt.ylabel('Error')\n plt.legend()\n plt.grid(True)\n\n\n<mask token>\nwith open(\n 'C:\\\\Users\\\\owenb\\\\Desktop\\\\experiment results\\\\agent3_data\\\\actions.csv',\n newline='') as csvfile:\n reader = csv.reader(csvfile, dialect='excel')\n for x in reader:\n outputs.append(x)\nwith open(\n 'C:\\\\Users\\\\owenb\\\\Desktop\\\\experiment results\\\\agent3_data\\\\messages_3_2.csv'\n , newline='') as csvfile:\n reader = csv.reader(csvfile, dialect='excel')\n for x in reader:\n inputs.append(x)\n<mask token>\ndel dataset[8500:]\n<mask token>\nfor x in range(len(train_features)):\n train_features[x] = np.array(np.expand_dims([float(y) for y in\n train_features[x]], axis=0))\n train_labels[x] = np.array(np.expand_dims([float(y) for y in\n train_labels[x]], axis=0))\n<mask token>\nfor x in range(len(test_features)):\n test_features[x] = np.array(np.expand_dims([float(y) for y in\n test_features[x]], axis=0))\n test_labels[x] = np.array(np.expand_dims([float(y) for y in test_labels\n [x]], axis=0))\n<mask token>\nnormalizer.adapt(train_features)\n<mask token>\nlinear_model.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),\n loss='mean_absolute_error')\n<mask token>\nplot_loss(history)\n<mask token>\nprint('agent 3-2 post train error=' + str(test_results))\nlinear_model.save('agent3-2.h5')\n",
"step-3": "<mask token>\n\n\ndef plot_loss(history):\n plt.plot(history.history['loss'], label='loss')\n plt.plot(history.history['val_loss'], label='val_loss')\n plt.ylim([0, 10])\n plt.xlabel('Epoch')\n plt.ylabel('Error')\n plt.legend()\n plt.grid(True)\n\n\noutputs = []\ninputs = []\nwith open(\n 'C:\\\\Users\\\\owenb\\\\Desktop\\\\experiment results\\\\agent3_data\\\\actions.csv',\n newline='') as csvfile:\n reader = csv.reader(csvfile, dialect='excel')\n for x in reader:\n outputs.append(x)\nwith open(\n 'C:\\\\Users\\\\owenb\\\\Desktop\\\\experiment results\\\\agent3_data\\\\messages_3_2.csv'\n , newline='') as csvfile:\n reader = csv.reader(csvfile, dialect='excel')\n for x in reader:\n inputs.append(x)\ndataset = [[inputs[x], outputs[x]] for x in range(len(inputs))]\ndel dataset[8500:]\nlength = int(len(dataset) * 0.8)\ntrain_dataset = random.sample(dataset, length)\ntest_dataset = [y for y in dataset if y not in train_dataset]\ntrain_features = [x[0] for x in train_dataset]\ntrain_labels = [x[1] for x in train_dataset]\ntest_features = [x[0] for x in test_dataset]\ntest_labels = [x[1] for x in test_dataset]\nfor x in range(len(train_features)):\n train_features[x] = np.array(np.expand_dims([float(y) for y in\n train_features[x]], axis=0))\n train_labels[x] = np.array(np.expand_dims([float(y) for y in\n train_labels[x]], axis=0))\ntrain_features = np.array(train_features)\ntrain_labels = np.array(train_labels)\nfor x in range(len(test_features)):\n test_features[x] = np.array(np.expand_dims([float(y) for y in\n test_features[x]], axis=0))\n test_labels[x] = np.array(np.expand_dims([float(y) for y in test_labels\n [x]], axis=0))\ntest_features = np.array(test_features)\ntest_labels = np.array(test_labels)\nnormalizer = preprocessing.Normalization(input_shape=(1, 100))\nnormalizer.adapt(train_features)\nlinear_model = tf.keras.Sequential([normalizer, tf.keras.layers.Dense(6)])\nlinear_model.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),\n loss='mean_absolute_error')\nhistory = linear_model.fit(x=train_features, y=train_labels, epochs=100,\n verbose=0, validation_split=0.2)\nplot_loss(history)\ntest_results = linear_model.evaluate(test_features, test_labels, verbose=1)\nprint('agent 3-2 post train error=' + str(test_results))\nlinear_model.save('agent3-2.h5')\n",
"step-4": "import tensorflow as tf\nimport csv\nfrom tensorflow.keras import layers\nfrom tensorflow.keras.layers.experimental import preprocessing\nimport pandas as pd\nimport numpy as np\nimport random\nimport matplotlib.pyplot as plt\nimport math\n\n\ndef plot_loss(history):\n plt.plot(history.history['loss'], label='loss')\n plt.plot(history.history['val_loss'], label='val_loss')\n plt.ylim([0, 10])\n plt.xlabel('Epoch')\n plt.ylabel('Error')\n plt.legend()\n plt.grid(True)\n\n\noutputs = []\ninputs = []\nwith open(\n 'C:\\\\Users\\\\owenb\\\\Desktop\\\\experiment results\\\\agent3_data\\\\actions.csv',\n newline='') as csvfile:\n reader = csv.reader(csvfile, dialect='excel')\n for x in reader:\n outputs.append(x)\nwith open(\n 'C:\\\\Users\\\\owenb\\\\Desktop\\\\experiment results\\\\agent3_data\\\\messages_3_2.csv'\n , newline='') as csvfile:\n reader = csv.reader(csvfile, dialect='excel')\n for x in reader:\n inputs.append(x)\ndataset = [[inputs[x], outputs[x]] for x in range(len(inputs))]\ndel dataset[8500:]\nlength = int(len(dataset) * 0.8)\ntrain_dataset = random.sample(dataset, length)\ntest_dataset = [y for y in dataset if y not in train_dataset]\ntrain_features = [x[0] for x in train_dataset]\ntrain_labels = [x[1] for x in train_dataset]\ntest_features = [x[0] for x in test_dataset]\ntest_labels = [x[1] for x in test_dataset]\nfor x in range(len(train_features)):\n train_features[x] = np.array(np.expand_dims([float(y) for y in\n train_features[x]], axis=0))\n train_labels[x] = np.array(np.expand_dims([float(y) for y in\n train_labels[x]], axis=0))\ntrain_features = np.array(train_features)\ntrain_labels = np.array(train_labels)\nfor x in range(len(test_features)):\n test_features[x] = np.array(np.expand_dims([float(y) for y in\n test_features[x]], axis=0))\n test_labels[x] = np.array(np.expand_dims([float(y) for y in test_labels\n [x]], axis=0))\ntest_features = np.array(test_features)\ntest_labels = np.array(test_labels)\nnormalizer = preprocessing.Normalization(input_shape=(1, 100))\nnormalizer.adapt(train_features)\nlinear_model = tf.keras.Sequential([normalizer, tf.keras.layers.Dense(6)])\nlinear_model.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),\n loss='mean_absolute_error')\nhistory = linear_model.fit(x=train_features, y=train_labels, epochs=100,\n verbose=0, validation_split=0.2)\nplot_loss(history)\ntest_results = linear_model.evaluate(test_features, test_labels, verbose=1)\nprint('agent 3-2 post train error=' + str(test_results))\nlinear_model.save('agent3-2.h5')\n",
"step-5": "import tensorflow as tf\nimport csv\nfrom tensorflow.keras import layers\nfrom tensorflow.keras.layers.experimental import preprocessing\nimport pandas as pd\nimport numpy as np\nimport random\nimport matplotlib.pyplot as plt\nimport math\n\ndef plot_loss(history):\n plt.plot(history.history['loss'], label='loss')\n plt.plot(history.history['val_loss'], label='val_loss')\n plt.ylim([0, 10])\n plt.xlabel('Epoch')\n plt.ylabel('Error')\n plt.legend()\n plt.grid(True)\n\n#get data\n\noutputs=[]\ninputs=[]\n\nwith open('C:\\\\Users\\\\owenb\\\\Desktop\\\\experiment results\\\\agent3_data\\\\actions.csv',newline='') as csvfile:\n reader=csv.reader(csvfile,dialect='excel')\n for x in reader:\n outputs.append(x)\n\nwith open('C:\\\\Users\\\\owenb\\\\Desktop\\\\experiment results\\\\agent3_data\\\\messages_3_2.csv',newline='') as csvfile:\n reader=csv.reader(csvfile,dialect='excel')\n for x in reader:\n inputs.append(x)\n\ndataset=[[inputs[x],outputs[x]] for x in range(len(inputs))]\n\ndel dataset[8500:]\n\n#process data\n\nlength=int(len(dataset)*0.8)\ntrain_dataset=random.sample(dataset,length)\ntest_dataset=[y for y in dataset if y not in train_dataset]\n\ntrain_features=[x[0] for x in train_dataset]\ntrain_labels=[x[1] for x in train_dataset]\n\ntest_features=[x[0] for x in test_dataset]\ntest_labels=[x[1] for x in test_dataset]\n\nfor x in range(len(train_features)):\n train_features[x]=np.array(np.expand_dims([float(y) for y in train_features[x]], axis=0))\n train_labels[x]=np.array(np.expand_dims([float(y) for y in train_labels[x]], axis=0))\n\ntrain_features=np.array(train_features)\ntrain_labels=np.array(train_labels)\n\nfor x in range(len(test_features)):\n test_features[x]=np.array(np.expand_dims([float(y) for y in test_features[x]], axis=0))\n test_labels[x]=np.array(np.expand_dims([float(y) for y in test_labels[x]], axis=0))\n\ntest_features=np.array(test_features)\ntest_labels=np.array(test_labels)\n\n#make model\n\n#message=tf.keras.Input(shape=(1,100))\n#predictor_layer=tf.keras.layers.Dense(6,activation='relu',use_bias=True)(message)\n#linear_model=tf.keras.Model(inputs=message,outputs=predictor_layer)\n\nnormalizer=preprocessing.Normalization(input_shape=(1, 100))\nnormalizer.adapt(train_features)\nlinear_model=tf.keras.Sequential([normalizer,tf.keras.layers.Dense(6)])\n\nlinear_model.compile(optimizer=tf.optimizers.Adam(learning_rate=0.001),loss='mean_absolute_error')\n\n#train model\n\nhistory = linear_model.fit(x=train_features, y=train_labels, epochs=100,verbose=0,validation_split = 0.2)\n\nplot_loss(history)\n\n#test model\n\ntest_results = linear_model.evaluate(test_features, test_labels, verbose=1)\n\n\nprint(\"agent 3-2 post train error=\"+str(test_results))\nlinear_model.save('agent3-2.h5')\n",
"step-ids": [
1,
2,
3,
4,
5
]
}
|
[
1,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class MyLoop(dopehr_loopmodel):
<|reserved_special_token_0|>
def select_loop_atoms(self):
return selection(self.residue_range('218:', '231:'))
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class MyLoop(dopehr_loopmodel):
def select_atoms(self):
return selection(self.residue_range('218:', '231:'))
def select_loop_atoms(self):
return selection(self.residue_range('218:', '231:'))
<|reserved_special_token_1|>
from modeller import *
from modeller.automodel import *
class MyLoop(dopehr_loopmodel):
def select_atoms(self):
return selection(self.residue_range('218:', '231:'))
def select_loop_atoms(self):
return selection(self.residue_range('218:', '231:'))
<|reserved_special_token_1|>
from modeller import *
from modeller.automodel import *
# This part was within the script loop_modelling_2
# Here is is in a separate file for loop_modelling_3 so the script can be run in parallel
class MyLoop(dopehr_loopmodel):
def select_atoms(self):
# Here only the second loop atoms are allowed to move so we do not mess with the first loop we have previously refined
return selection(self.residue_range('218:', '231:'))
def select_loop_atoms(self):
return selection(self.residue_range('218:', '231:'))
|
flexible
|
{
"blob_id": "d058c3df8513e07e4ff7035aa5c5885819e43687",
"index": 7295,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass MyLoop(dopehr_loopmodel):\n <mask token>\n\n def select_loop_atoms(self):\n return selection(self.residue_range('218:', '231:'))\n",
"step-3": "<mask token>\n\n\nclass MyLoop(dopehr_loopmodel):\n\n def select_atoms(self):\n return selection(self.residue_range('218:', '231:'))\n\n def select_loop_atoms(self):\n return selection(self.residue_range('218:', '231:'))\n",
"step-4": "from modeller import *\nfrom modeller.automodel import *\n\n\nclass MyLoop(dopehr_loopmodel):\n\n def select_atoms(self):\n return selection(self.residue_range('218:', '231:'))\n\n def select_loop_atoms(self):\n return selection(self.residue_range('218:', '231:'))\n",
"step-5": "from modeller import *\nfrom modeller.automodel import * \n\n# This part was within the script loop_modelling_2\n# Here is is in a separate file for loop_modelling_3 so the script can be run in parallel\n\nclass MyLoop(dopehr_loopmodel):\n def select_atoms(self):\n\t # Here only the second loop atoms are allowed to move so we do not mess with the first loop we have previously refined\n return selection(self.residue_range('218:', '231:'))\n def select_loop_atoms(self):\n return selection(self.residue_range('218:', '231:'))\n",
"step-ids": [
0,
2,
3,
4,
5
]
}
|
[
0,
2,
3,
4,
5
] |
from Config_paar import *
from Envelopefkt import *
from Kinematik import *
def A_m_n(M,N,x_plus,p_el,p_pos,k_photon,k_laser):
def f1(p):
return -(m*a0)/(pk(p)) * g(phi,sigma,Envelope) *( pe(1,p) * cos(ksi) * cos(phi) + pe(2,p) * sin(ksi) * sin(phi) )
def f2(p):
return -(m*a0)**2/(2.*pk(p))*g(phi,sigma,Envelope)**2*((cos(ksi)*cos(phi))**2+(sin(ksi)*sin(phi))**2)
def f(p):
return f1(p)+f2(p)
def f1_SVEA(p):
return -(m*a0)/(pk(p))*g(phi,sigma,Envelope)*(pe(1,p)*cos(ksi)*sin(phi)-pe(2,p)*sin(ksi)*cos(phi))
def f2_SVEA(p):
return -(m*a0)**2/(4.*pk(p))*(Int_g_2(phi,sigma,Envelope)+g(phi,sigma,Envelope)**2*cos(phi)*sin(phi)*(cos(ksi)**2-sin(ksi)**2))
def f_SVEA(p):
return f1_SVEA(p)+f2_SVEA(p)
pk = lambda imp: (imp * k_laser)
pe = lambda l,imp: (imp * eps_laser(l))
P_ = p_pos.minus() + p_el.minus() - k_photon.minus()
s = P_/k_laser.minus()
phi = w_laser * x_plus
H_plus = s*phi - f_SVEA(p_el) + f_SVEA(-p_pos)
if M == 0:
A = -1./s * (f(-p_pos) - f(p_el)) * exp(1j * H_plus)
else:
A = g(phi,sigma,Envelope)**M *exp( 1j* ( H_plus + N*phi))
return A
def A_m_n_nSVEA(M,N,x_plus,p_el,p_pos,k_photon,k_laser):
def f1(p):
if Envelope == 'cos^2':
fakt_a = sigma/(sigma-pi)
fakt_b = sigma/(sigma+pi)
Int_sin = -0.25 *( fakt_a * cos( phi/fakt_a ) + fakt_b * cos( phi/fakt_b ) +2.*cos(phi) )
Int_cos = 0.25 *( fakt_a * sin( phi/fakt_a ) + fakt_b * sin( phi/fakt_b ) +2.*sin(phi) )
return -(m*a0)/(pk(p)) *( pe(1,p) * cos(ksi) * Int_cos + pe(2,p) * sin(ksi) * Int_sin )
elif Envelope == 'cos^4':
fakt_a = lambda n: ( 1. + n*pi/sigma )
fakt_b = lambda n: ( -1. + n*pi/sigma )
Int_sin = 0.25 *( ( - cos( fakt_a(2.)*phi ) / fakt_a(2.) + cos( fakt_b(2.)*phi ) / fakt_b(2.) ) * 0.25 \
- cos( fakt_a(1.)*phi ) / fakt_a(1.) + cos( fakt_b(1.)*phi ) / fakt_b(1.) - 3./2. * cos(phi) )
Int_cos = 0.25 *( ( sin( fakt_a(2.)*phi ) / fakt_a(2.) + sin( fakt_b(2.)*phi ) / fakt_b(2.) ) * 0.25 \
+ sin( fakt_a(1.)*phi ) / fakt_a(1.) + sin( fakt_b(1.)*phi ) / fakt_b(1.) - 3./2. * sin(phi) )
return -(m*a0)/(pk(p)) * ( pe(1,p) * cos(ksi) * Int_cos + pe(2,p) * sin(ksi) * Int_sin )
elif Envelope == 'cosh':
raise IOError,'cosh noch nicht implementiert -> benutze SEVA'
else:
raise IOError,'Nicht analytisch loesbar -> benutze SEVA'
def f2(p):
if Envelope == 'cos^2':
a = pi/sigma/2.
F = lambda l,n: ( l + n*a )
Int_cos = 1./8. *( 1.5*phi + 0.75*sin(2.*phi) + sin(F(0,4.)*phi)/F(0,8.) + sin(F(0,2.)*phi)/a \
+ sin(F(-2.,4.)*phi)/F(-2.,4.)/4. + sin(F(2.,4.)*phi)/F(2.,4.)/4. \
+ sin(F(-2.,2.)*phi)/F(-2.,2.) + sin(F(2.,2.)*phi)/F(2.,2.) )
Int_sin = 1./8. *( 1.5*phi - 0.75*sin(2.*phi) + sin(F(0,4.)*phi)/F(0,8.) + sin(F(0,2.)*phi)/a \
- sin(F(-2.,4.)*phi)/F(-2.,4.)/4. - sin(F(2.,4.)*phi)/F(2.,4.)/4. \
- sin(F(-2.,2.)*phi)/F(-2.,2.) - sin(F(2.,2.)*phi)/F(2.,2.) )
return -( m*a0 )**2 / (2.*pk(p)) * ( cos(ksi)**2 * Int_cos + sin(ksi)**2 * Int_sin )
elif Envelope == 'cos^4':
Faktor = lambda l,n: ( l + n*pi/sigma )
Int_sin = 1./64. *( (- sin( Faktor(-2.,4.)*phi ) / Faktor(-2.,4.) - sin( Faktor(2.,4.)*phi ) / Faktor(2.,4.) ) / 8. \
- sin( Faktor(-2.,3.)*phi ) / Faktor(-2.,3.) - sin( Faktor(2.,3.)*phi ) / Faktor(2.,3.) \
-( sin( Faktor(-2.,2.)*phi ) / Faktor(-2.,2.) + sin( Faktor(2.,2.)*phi ) / Faktor(2.,2.) ) * 3.5 \
-( sin( Faktor(-2.,1.)*phi ) / Faktor(-2.,1.) + sin( Faktor(2.,1.)*phi ) / Faktor(2.,1.) ) * 7. \
+ sin( Faktor( 0.,4.)*phi ) / Faktor(0.,16.) + sin( Faktor(0.,3.)*phi ) / Faktor(0.,1.5) \
+( sin( Faktor( 0.,2.)*phi ) / Faktor(0.,2.) + sin( Faktor(0.,1.)*phi ) / Faktor(0.,0.5)) * 7. \
+ 35./4. * phi - 35./8. * sin( 2*phi ) )
Int_cos = 1./64. *( ( sin( Faktor(-2.,4.)*phi ) / Faktor(-2.,4.) + sin( Faktor(2.,4.)*phi ) / Faktor(2.,4.) ) / 8. \
+ sin( Faktor(-2.,3.)*phi ) / Faktor(-2.,3.) + sin( Faktor(2.,3.)*phi ) / Faktor(2.,3.) \
+( sin( Faktor(-2.,2.)*phi ) / Faktor(-2.,2.) + sin( Faktor(2.,2.)*phi ) / Faktor(2.,2.) ) * 3.5 \
+( sin( Faktor(-2.,1.)*phi ) / Faktor(-2.,1.) + sin( Faktor(2.,1.)*phi ) / Faktor(2.,1.) ) * 7. \
+ sin( Faktor( 0.,4.)*phi ) / Faktor(0.,16.) + sin( Faktor(0.,3.)*phi ) / Faktor(0.,1.5) \
+( sin( Faktor( 0.,2.)*phi ) / Faktor(0.,2.) + sin( Faktor(0.,1.)*phi ) / Faktor(0.,0.5)) * 7. \
+ 35./4. * phi - 35./8. * sin( 2*phi ) )
return -( m*a0 )**2 / (2.*pk(p)) * ( cos(ksi)**2 * Int_cos + sin(ksi)**2 * Int_sin )
elif Envelope == 'cosh':
raise IOError,'cosh noch nicht implementiert -> benutze SEVA'
else:
raise IOError,'Nicht analytisch loesbar -> benutze SEVA'
def f(p):
return f1(p)+f2(p)
pk = lambda imp: (imp * k_laser)
pe = lambda l,imp: (imp * eps_laser(l))
P_ = p_pos.minus() + p_el.minus() - k_photon.minus()
s = P_/k_laser.minus()
phi = w_laser * x_plus
H_plus = s*phi - f(p_el) + f(-p_pos)
A = g(phi,sigma,Envelope)**M *exp( 1j* ( H_plus + N*phi))
return A
def A_0_0 (A11,A1_1,A20,A22,A2_2):
p_pos,p_el,k_laser,k_photon,q_pos,eps_m,eps_p = kinematik()
pk = lambda p: (p * k_laser)
d_p = lambda p: m*a0 / ( 4.* pk(p) )
P_ = p_pos.minus() + p_el.minus() - k_photon.minus()
s = P_/k_laser.minus()
Wert = 2./s * ( ( d_p(p_pos)*p_pos*eps_m - d_p(p_el)*p_el*eps_m ) * A11 \
+ ( d_p(p_pos)*p_pos*eps_p - d_p(p_el)*p_el*eps_p ) * A1_1 \
- k_laser*k_photon*d_p(p_pos)*d_p(p_el) \
* ( 2.*A20 + (cos(ksi)**2 - sin(ksi)**2) * (A22 + A2_2) ) )
return Wert
|
normal
|
{
"blob_id": "ad170f67e5b9f54d950ead91dd60cd4f3b753eca",
"index": 6660,
"step-1": "from Config_paar import *\nfrom Envelopefkt import *\nfrom Kinematik import *\n\n\ndef A_m_n(M,N,x_plus,p_el,p_pos,k_photon,k_laser):\n\n def f1(p):\n return -(m*a0)/(pk(p)) * g(phi,sigma,Envelope) *( pe(1,p) * cos(ksi) * cos(phi) + pe(2,p) * sin(ksi) * sin(phi) )\n \n def f2(p):\n return -(m*a0)**2/(2.*pk(p))*g(phi,sigma,Envelope)**2*((cos(ksi)*cos(phi))**2+(sin(ksi)*sin(phi))**2) \n \n def f(p):\n return f1(p)+f2(p)\n \n def f1_SVEA(p):\n return -(m*a0)/(pk(p))*g(phi,sigma,Envelope)*(pe(1,p)*cos(ksi)*sin(phi)-pe(2,p)*sin(ksi)*cos(phi))\n\n def f2_SVEA(p):\n return -(m*a0)**2/(4.*pk(p))*(Int_g_2(phi,sigma,Envelope)+g(phi,sigma,Envelope)**2*cos(phi)*sin(phi)*(cos(ksi)**2-sin(ksi)**2))\n\n def f_SVEA(p):\n return f1_SVEA(p)+f2_SVEA(p)\n\n pk = lambda imp: (imp * k_laser)\n pe = lambda l,imp: (imp * eps_laser(l))\n \n P_ = p_pos.minus() + p_el.minus() - k_photon.minus() \n s = P_/k_laser.minus()\n\n phi = w_laser * x_plus\n \n H_plus = s*phi - f_SVEA(p_el) + f_SVEA(-p_pos)\n\n if M == 0: \n A = -1./s * (f(-p_pos) - f(p_el)) * exp(1j * H_plus)\n \n else:\n A = g(phi,sigma,Envelope)**M *exp( 1j* ( H_plus + N*phi))\n \n return A \n\n\ndef A_m_n_nSVEA(M,N,x_plus,p_el,p_pos,k_photon,k_laser):\n \n def f1(p):\n \n if Envelope == 'cos^2':\n \n fakt_a = sigma/(sigma-pi)\n fakt_b = sigma/(sigma+pi)\n \n Int_sin = -0.25 *( fakt_a * cos( phi/fakt_a ) + fakt_b * cos( phi/fakt_b ) +2.*cos(phi) )\n Int_cos = 0.25 *( fakt_a * sin( phi/fakt_a ) + fakt_b * sin( phi/fakt_b ) +2.*sin(phi) )\n \n return -(m*a0)/(pk(p)) *( pe(1,p) * cos(ksi) * Int_cos + pe(2,p) * sin(ksi) * Int_sin )\n \n \n elif Envelope == 'cos^4':\n \n fakt_a = lambda n: ( 1. + n*pi/sigma )\n fakt_b = lambda n: ( -1. + n*pi/sigma )\n \n Int_sin = 0.25 *( ( - cos( fakt_a(2.)*phi ) / fakt_a(2.) + cos( fakt_b(2.)*phi ) / fakt_b(2.) ) * 0.25 \\\n - cos( fakt_a(1.)*phi ) / fakt_a(1.) + cos( fakt_b(1.)*phi ) / fakt_b(1.) - 3./2. * cos(phi) )\n \n Int_cos = 0.25 *( ( sin( fakt_a(2.)*phi ) / fakt_a(2.) + sin( fakt_b(2.)*phi ) / fakt_b(2.) ) * 0.25 \\\n + sin( fakt_a(1.)*phi ) / fakt_a(1.) + sin( fakt_b(1.)*phi ) / fakt_b(1.) - 3./2. * sin(phi) )\n \n return -(m*a0)/(pk(p)) * ( pe(1,p) * cos(ksi) * Int_cos + pe(2,p) * sin(ksi) * Int_sin )\n \n \n elif Envelope == 'cosh':\n raise IOError,'cosh noch nicht implementiert -> benutze SEVA'\n \n else:\n raise IOError,'Nicht analytisch loesbar -> benutze SEVA'\n \n \n \n def f2(p):\n if Envelope == 'cos^2':\n \n a = pi/sigma/2.\n F = lambda l,n: ( l + n*a )\n \n \n Int_cos = 1./8. *( 1.5*phi + 0.75*sin(2.*phi) + sin(F(0,4.)*phi)/F(0,8.) + sin(F(0,2.)*phi)/a \\\n + sin(F(-2.,4.)*phi)/F(-2.,4.)/4. + sin(F(2.,4.)*phi)/F(2.,4.)/4. \\\n + sin(F(-2.,2.)*phi)/F(-2.,2.) + sin(F(2.,2.)*phi)/F(2.,2.) )\n \n Int_sin = 1./8. *( 1.5*phi - 0.75*sin(2.*phi) + sin(F(0,4.)*phi)/F(0,8.) + sin(F(0,2.)*phi)/a \\\n - sin(F(-2.,4.)*phi)/F(-2.,4.)/4. - sin(F(2.,4.)*phi)/F(2.,4.)/4. \\\n - sin(F(-2.,2.)*phi)/F(-2.,2.) - sin(F(2.,2.)*phi)/F(2.,2.) )\n \n return -( m*a0 )**2 / (2.*pk(p)) * ( cos(ksi)**2 * Int_cos + sin(ksi)**2 * Int_sin ) \n \n elif Envelope == 'cos^4':\n \n \n Faktor = lambda l,n: ( l + n*pi/sigma )\n \n Int_sin = 1./64. *( (- sin( Faktor(-2.,4.)*phi ) / Faktor(-2.,4.) - sin( Faktor(2.,4.)*phi ) / Faktor(2.,4.) ) / 8. \\\n - sin( Faktor(-2.,3.)*phi ) / Faktor(-2.,3.) - sin( Faktor(2.,3.)*phi ) / Faktor(2.,3.) \\\n -( sin( Faktor(-2.,2.)*phi ) / Faktor(-2.,2.) + sin( Faktor(2.,2.)*phi ) / Faktor(2.,2.) ) * 3.5 \\\n -( sin( Faktor(-2.,1.)*phi ) / Faktor(-2.,1.) + sin( Faktor(2.,1.)*phi ) / Faktor(2.,1.) ) * 7. \\\n + sin( Faktor( 0.,4.)*phi ) / Faktor(0.,16.) + sin( Faktor(0.,3.)*phi ) / Faktor(0.,1.5) \\\n +( sin( Faktor( 0.,2.)*phi ) / Faktor(0.,2.) + sin( Faktor(0.,1.)*phi ) / Faktor(0.,0.5)) * 7. \\\n + 35./4. * phi - 35./8. * sin( 2*phi ) ) \n \n Int_cos = 1./64. *( ( sin( Faktor(-2.,4.)*phi ) / Faktor(-2.,4.) + sin( Faktor(2.,4.)*phi ) / Faktor(2.,4.) ) / 8. \\\n + sin( Faktor(-2.,3.)*phi ) / Faktor(-2.,3.) + sin( Faktor(2.,3.)*phi ) / Faktor(2.,3.) \\\n +( sin( Faktor(-2.,2.)*phi ) / Faktor(-2.,2.) + sin( Faktor(2.,2.)*phi ) / Faktor(2.,2.) ) * 3.5 \\\n +( sin( Faktor(-2.,1.)*phi ) / Faktor(-2.,1.) + sin( Faktor(2.,1.)*phi ) / Faktor(2.,1.) ) * 7. \\\n + sin( Faktor( 0.,4.)*phi ) / Faktor(0.,16.) + sin( Faktor(0.,3.)*phi ) / Faktor(0.,1.5) \\\n +( sin( Faktor( 0.,2.)*phi ) / Faktor(0.,2.) + sin( Faktor(0.,1.)*phi ) / Faktor(0.,0.5)) * 7. \\\n + 35./4. * phi - 35./8. * sin( 2*phi ) )\n \n return -( m*a0 )**2 / (2.*pk(p)) * ( cos(ksi)**2 * Int_cos + sin(ksi)**2 * Int_sin ) \n \n \n elif Envelope == 'cosh':\n raise IOError,'cosh noch nicht implementiert -> benutze SEVA'\n \n else:\n raise IOError,'Nicht analytisch loesbar -> benutze SEVA'\n \n def f(p):\n return f1(p)+f2(p)\n \n\n pk = lambda imp: (imp * k_laser)\n pe = lambda l,imp: (imp * eps_laser(l))\n \n P_ = p_pos.minus() + p_el.minus() - k_photon.minus() \n s = P_/k_laser.minus()\n \n \n \n phi = w_laser * x_plus\n \n H_plus = s*phi - f(p_el) + f(-p_pos)\n\n A = g(phi,sigma,Envelope)**M *exp( 1j* ( H_plus + N*phi))\n \n return A \n \n \ndef A_0_0 (A11,A1_1,A20,A22,A2_2):\n \n\n \n p_pos,p_el,k_laser,k_photon,q_pos,eps_m,eps_p = kinematik()\n \n pk = lambda p: (p * k_laser)\n d_p = lambda p: m*a0 / ( 4.* pk(p) ) \n \n P_ = p_pos.minus() + p_el.minus() - k_photon.minus() \n s = P_/k_laser.minus()\n \n Wert = 2./s * ( ( d_p(p_pos)*p_pos*eps_m - d_p(p_el)*p_el*eps_m ) * A11 \\\n + ( d_p(p_pos)*p_pos*eps_p - d_p(p_el)*p_el*eps_p ) * A1_1 \\\n - k_laser*k_photon*d_p(p_pos)*d_p(p_el) \\\n * ( 2.*A20 + (cos(ksi)**2 - sin(ksi)**2) * (A22 + A2_2) ) )\n \n return Wert\n\n\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
}
|
[
0
] |
from django.core import management
from django.conf import settings
def backup_cron():
if settings.DBBACKUP_STORAGE is not '':
management.call_command('dbbackup')
|
normal
|
{
"blob_id": "ae9f1c4f70801dace0455c051ba4d4bfb7f3fe67",
"index": 4813,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef backup_cron():\n if settings.DBBACKUP_STORAGE is not '':\n management.call_command('dbbackup')\n",
"step-3": "from django.core import management\nfrom django.conf import settings\n\n\ndef backup_cron():\n if settings.DBBACKUP_STORAGE is not '':\n management.call_command('dbbackup')\n",
"step-4": null,
"step-5": null,
"step-ids": [
0,
1,
2
]
}
|
[
0,
1,
2
] |
import os
import inspect
import pytest
from ._common import copy_default_profile_collection, patch_first_startup_file
from bluesky_queueserver.manager.profile_tools import global_user_namespace, load_devices_from_happi
from bluesky_queueserver.manager.profile_ops import load_profile_collection
def create_local_imports_files(tmp_path):
path_dir = os.path.join(tmp_path, "dir_local_imports")
fln_func = os.path.join(path_dir, "file_func.py")
fln_gen = os.path.join(path_dir, "file_gen.py")
os.makedirs(path_dir, exist_ok=True)
# Create file1
code1 = """
from bluesky_queueserver.manager.profile_tools import set_user_ns
# Function that has the parameter 'ipython'
@set_user_ns
def f1(some_value, user_ns, ipython):
user_ns["func_was_called"] = "func_was_called"
return (some_value, user_ns["v_from_namespace"], bool(ipython))
# Function that has no parameter 'ipython'
@set_user_ns
def f1a(some_value, user_ns):
user_ns["func_A_was_called"] = "func_was_called"
return (some_value, user_ns["v_from_namespace"])
"""
with open(fln_func, "w") as f:
f.writelines(code1)
# Create file2
code2 = """
from bluesky_queueserver.manager.profile_tools import set_user_ns
# Function that has the parameter 'ipython'
@set_user_ns
def f2(some_value, user_ns, ipython):
user_ns["gen_was_called"] = "gen_was_called"
yield (some_value, user_ns["v_from_namespace"], bool(ipython))
# Function that has no parameter 'ipython'
@set_user_ns
def f2a(some_value, user_ns):
user_ns["gen_A_was_called"] = "gen_was_called"
yield (some_value, user_ns["v_from_namespace"])
@set_user_ns
def f3(some_value, user_ns, ipython):
user_ns["value_f3"] = some_value
f3(91)
"""
with open(fln_gen, "w") as f:
f.writelines(code2)
patch_code = """
from dir_local_imports.file_func import f1, f1a
from dir_local_imports.file_gen import f2, f2a
from bluesky_queueserver.manager.profile_tools import set_user_ns
@set_user_ns
def f4(some_value, user_ns, ipython):
user_ns["value_f4"] = some_value
f4(90)
"""
def test_set_user_ns_1(tmp_path):
"""
Tests for ``set_user_ns`` decorator. The functionality of the decorator
is fully tested (only without IPython):
- using ``global_user_namespace`` to pass values in and out of the function
defined in the imported module (emulation of ``get_ipython().user_ns``).
- checking if the function is executed from IPython (only for the function
defined in the imported module).
"""
pc_path = copy_default_profile_collection(tmp_path)
create_local_imports_files(pc_path)
patch_first_startup_file(pc_path, patch_code)
nspace = load_profile_collection(pc_path)
assert len(nspace) > 0, "Failed to load the profile collection"
assert "f1" in nspace, "Test for local imports failed"
assert "f2" in nspace, "Test for local imports failed"
# Test if the decorator `set_user_ns` does not change function type
assert inspect.isgeneratorfunction(nspace["f1"]) is False
assert inspect.isgeneratorfunction(nspace["f2"]) is True
# Check if the extra arguments are removed from the function signature
def check_signature(func):
params = inspect.signature(func).parameters
assert "user_ns" not in params
assert "ipython" not in params
check_signature(nspace["f1"])
check_signature(nspace["f1a"])
check_signature(nspace["f2"])
check_signature(nspace["f2a"])
assert nspace["value_f3"] == 91
assert nspace["value_f4"] == 90
# Test function
global_user_namespace.set_user_namespace(user_ns=nspace, use_ipython=False)
global_user_namespace.user_ns["v_from_namespace"] = "value-sent-to-func"
assert nspace["v_from_namespace"] == "value-sent-to-func"
result_func = nspace["f1"](60)
assert nspace["func_was_called"] == "func_was_called"
assert result_func[0] == 60
assert result_func[1] == "value-sent-to-func"
assert result_func[2] is False
result_func = nspace["f1a"](65)
assert nspace["func_A_was_called"] == "func_was_called"
assert result_func[0] == 65
assert result_func[1] == "value-sent-to-func"
# Test generator
global_user_namespace.user_ns["v_from_namespace"] = "value-sent-to-gen"
result_func = list(nspace["f2"](110))[0]
assert nspace["gen_was_called"] == "gen_was_called"
assert result_func[0] == 110
assert result_func[1] == "value-sent-to-gen"
assert result_func[2] is False
result_func = list(nspace["f2a"](115))[0]
assert nspace["gen_A_was_called"] == "gen_was_called"
assert result_func[0] == 115
assert result_func[1] == "value-sent-to-gen"
def test_global_user_namespace():
"""
Basic test for ``global_user_namespace``.
"""
ns = {"ab": 1, "cd": 2}
global_user_namespace.set_user_namespace(user_ns=ns)
assert global_user_namespace.user_ns == ns
assert global_user_namespace.use_ipython is False
global_user_namespace.set_user_namespace(user_ns={}, use_ipython=True)
assert global_user_namespace.user_ns == {}
assert global_user_namespace.use_ipython is True
global_user_namespace.set_user_namespace(user_ns=ns, use_ipython=False)
assert global_user_namespace.user_ns == ns
assert global_user_namespace.use_ipython is False
_happi_json_db_1 = """
{
"det": {
"_id": "det",
"active": true,
"args": [],
"device_class": "ophyd.sim.DetWithCountTime",
"documentation": null,
"kwargs": {
"name": "{{name}}"
},
"name": "det",
"type": "OphydItem"
},
"motor": {
"_id": "motor",
"active": true,
"args": [],
"device_class": "ophyd.sim.SynAxisNoPosition",
"documentation": null,
"kwargs": {
"name": "{{name}}"
},
"name": "motor",
"type": "OphydItem"
},
"motor1": {
"_id": "motor1",
"active": true,
"args": [],
"device_class": "ophyd.sim.SynAxisNoHints",
"documentation": null,
"kwargs": {
"name": "{{name}}"
},
"name": "motor1",
"type": "OphydItem"
},
"tst_motor2": {
"_id": "tst_motor2",
"active": true,
"args": [],
"device_class": "ophyd.sim.SynAxisNoHints",
"documentation": null,
"kwargs": {
"name": "{{name}}"
},
"name": "tst_motor2",
"type": "OphydItem"
},
"motor3": {
"_id": "motor3",
"active": true,
"args": [],
"device_class": "ophyd.sim.SynAxis",
"documentation": null,
"kwargs": {
"name": "{{name}}"
},
"name": "motor3",
"type": "OphydItem"
},
"motor3_duplicate_error": {
"_id": "motor3",
"active": false,
"args": [],
"device_class": "ophyd.sim.SynAxis",
"documentation": null,
"kwargs": {
"name": "{{name}}"
},
"name": "motor3",
"type": "OphydItem"
}
}
"""
def _configure_happi(tmp_path, monkeypatch, json_devices):
path_json = os.path.join(tmp_path, "sim_devices.json")
path_ini = os.path.join(tmp_path, "happi.ini")
happi_ini_text = f"[DEFAULT]\nbackend=json\npath={path_json}"
with open(path_ini, "w") as f:
f.write(happi_ini_text)
with open(path_json, "w") as f:
f.write(json_devices)
monkeypatch.setenv("HAPPI_CFG", path_ini)
# fmt: off
@pytest.mark.parametrize("device_names, loaded_names, kw_args, success, errmsg", [
([], [], {}, True, ""), # No devices are loaded if the list of devices is empty
(("det", "motor"), ("det", "motor"), {}, True, ""),
(["det", "motor"], ("det", "motor"), {}, True, ""),
((("det", ""), ["motor", ""]), ("det", "motor"), {}, True, ""),
(("det", ["motor", ""]), ("det", "motor"), {}, True, ""),
(("det", ("motor", ""), ("tst_motor2", "motor2")), ("det", "motor", "motor2"), {}, True, ""),
# This is not typical use case, but the same device may be loaded multiple times
# with different names if needed.
((("motor1", "motor1_copy1"), ("motor1", "motor1_copy2")), ("motor1_copy1", "motor1_copy2"), {}, True, ""),
# Incorrect type of the device list
(10, ("det", "motor"), {}, False, "Parameter 'device_names' value must be a tuple or a list"),
("string", ("det", "motor"), {}, False, "Parameter 'device_names' value must be a tuple or a list"),
# Incorrecty type or form of a device list element
(("det", 10), ("det", "motor"), {}, False, "Parameter 'device_names': element .* must be str, tuple or list"),
((10, "motor"), ("det", "motor"), {}, False,
"Parameter 'device_names': element .* must be str, tuple or list"),
(("det", (10, "motor2")), ("det", "motor"), {}, False, "element .* is expected to be in the form"),
(("det", ("tst_motor2", 10)), ("det", "motor"), {}, False, "element .* is expected to be in the form"),
(("det", ("tst_motor2", "motor2", 10)), ("det", "motor"), {}, False,
"element .* is expected to be in the form"),
# No device found
(("det", "motor10"), ("det", "motor10"), {}, False, "No devices with name"),
# Multiple devices found (search for "motor3" yields multile devices, this is database issue)
(("det", "motor3"), ("det", "motor3"), {}, False, "Multiple devices with name"),
# Use additional search parameters. (Two entries for "motor3" differ in the value of `active` field.
# A single entry for `det` has `active==True`.)
(("det", "motor3"), ("det", "motor3"), {"active": True}, True, ""),
(("det", "motor3"), ("det", "motor3"), {"active": False}, False,
"No devices with name 'det' were found in Happi database."),
(("motor3",), ("motor3",), {"active": False}, True, ""),
# Verify that valid device names are accepted
(("det", ["motor", "motor3_new"]), ("det", "motor3_new"), {}, True, ""),
# Invalid new device name
(("det", ["motor", "Motor"]), ("det", "motor"), {}, False, "may consist of lowercase letters, numbers"),
(("det", ["motor", "moTor"]), ("det", "motor"), {}, False, "may consist of lowercase letters, numbers"),
(("det", ["motor", "_motor"]), ("det", "motor"), {}, False, "may consist of lowercase letters, numbers"),
(("det", ["motor", " motor"]), ("det", "motor"), {}, False, "may consist of lowercase letters, numbers"),
(("det", ["motor", "motor "]), ("det", "motor"), {}, False, "may consist of lowercase letters, numbers"),
(("det", ["motor", "motor new"]), ("det", "motor"), {}, False, "may consist of lowercase letters, numbers"),
(("det", ["motor", "motor_$new"]), ("det", "motor"), {}, False, "may consist of lowercase letters, numbers"),
(("det", ["motor", "2motor_$new"]), ("det", "motor"), {}, False, "may consist of lowercase letters, numbers"),
])
# fmt: on
def test_load_devices_from_happi_1(tmp_path, monkeypatch, device_names, loaded_names, kw_args, success, errmsg):
"""
Tests for ``load_devices_from_happi``.
"""
_configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)
# Load as a dictionary
if success:
ns = {}
dlist = load_devices_from_happi(device_names, namespace=ns, **kw_args)
assert len(ns) == len(loaded_names), str(ns)
for d in loaded_names:
assert d in ns
assert set(dlist) == set(loaded_names)
else:
with pytest.raises(Exception, match=errmsg):
ns = {}
load_devices_from_happi(device_names, namespace=ns, **kw_args)
# Load in local namespace
def _test_loading(device_names, loaded_names):
if success:
load_devices_from_happi(device_names, namespace=locals(), **kw_args)
for d in loaded_names:
assert d in locals()
else:
with pytest.raises(Exception, match=errmsg):
load_devices_from_happi(device_names, namespace=locals(), **kw_args)
_test_loading(device_names=device_names, loaded_names=loaded_names)
def test_load_devices_from_happi_2_fail(tmp_path, monkeypatch):
"""
Function ``load_devices_from_happi``: parameter ``namespace`` is required and must be of type ``dict``.
"""
_configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)
# Missing 'namespace' parameter
with pytest.raises(TypeError, match="missing 1 required keyword-only argument: 'namespace'"):
load_devices_from_happi(["det", "motor"])
# Incorrect type of 'namespace' parameter
with pytest.raises(TypeError, match="Parameter 'namespace' must be a dictionary"):
load_devices_from_happi(["det", "motor"], namespace=[1, 2, 3])
|
normal
|
{
"blob_id": "ad1ec5dd8fae290ab6cb73b17c5522e062261359",
"index": 6698,
"step-1": "<mask token>\n\n\ndef create_local_imports_files(tmp_path):\n path_dir = os.path.join(tmp_path, 'dir_local_imports')\n fln_func = os.path.join(path_dir, 'file_func.py')\n fln_gen = os.path.join(path_dir, 'file_gen.py')\n os.makedirs(path_dir, exist_ok=True)\n code1 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f1(some_value, user_ns, ipython):\n user_ns[\"func_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f1a(some_value, user_ns):\n user_ns[\"func_A_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"])\n\n\"\"\"\n with open(fln_func, 'w') as f:\n f.writelines(code1)\n code2 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f2(some_value, user_ns, ipython):\n user_ns[\"gen_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f2a(some_value, user_ns):\n user_ns[\"gen_A_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"])\n\n@set_user_ns\ndef f3(some_value, user_ns, ipython):\n user_ns[\"value_f3\"] = some_value\n\nf3(91)\n\n\"\"\"\n with open(fln_gen, 'w') as f:\n f.writelines(code2)\n\n\n<mask token>\n\n\ndef test_set_user_ns_1(tmp_path):\n \"\"\"\n Tests for ``set_user_ns`` decorator. The functionality of the decorator\n is fully tested (only without IPython):\n - using ``global_user_namespace`` to pass values in and out of the function\n defined in the imported module (emulation of ``get_ipython().user_ns``).\n - checking if the function is executed from IPython (only for the function\n defined in the imported module).\n \"\"\"\n pc_path = copy_default_profile_collection(tmp_path)\n create_local_imports_files(pc_path)\n patch_first_startup_file(pc_path, patch_code)\n nspace = load_profile_collection(pc_path)\n assert len(nspace) > 0, 'Failed to load the profile collection'\n assert 'f1' in nspace, 'Test for local imports failed'\n assert 'f2' in nspace, 'Test for local imports failed'\n assert inspect.isgeneratorfunction(nspace['f1']) is False\n assert inspect.isgeneratorfunction(nspace['f2']) is True\n\n def check_signature(func):\n params = inspect.signature(func).parameters\n assert 'user_ns' not in params\n assert 'ipython' not in params\n check_signature(nspace['f1'])\n check_signature(nspace['f1a'])\n check_signature(nspace['f2'])\n check_signature(nspace['f2a'])\n assert nspace['value_f3'] == 91\n assert nspace['value_f4'] == 90\n global_user_namespace.set_user_namespace(user_ns=nspace, use_ipython=False)\n global_user_namespace.user_ns['v_from_namespace'] = 'value-sent-to-func'\n assert nspace['v_from_namespace'] == 'value-sent-to-func'\n result_func = nspace['f1'](60)\n assert nspace['func_was_called'] == 'func_was_called'\n assert result_func[0] == 60\n assert result_func[1] == 'value-sent-to-func'\n assert result_func[2] is False\n result_func = nspace['f1a'](65)\n assert nspace['func_A_was_called'] == 'func_was_called'\n assert result_func[0] == 65\n assert result_func[1] == 'value-sent-to-func'\n global_user_namespace.user_ns['v_from_namespace'] = 'value-sent-to-gen'\n result_func = list(nspace['f2'](110))[0]\n assert nspace['gen_was_called'] == 'gen_was_called'\n assert result_func[0] == 110\n assert result_func[1] == 'value-sent-to-gen'\n assert result_func[2] is False\n result_func = list(nspace['f2a'](115))[0]\n assert nspace['gen_A_was_called'] == 'gen_was_called'\n assert result_func[0] == 115\n assert result_func[1] == 'value-sent-to-gen'\n\n\ndef test_global_user_namespace():\n \"\"\"\n Basic test for ``global_user_namespace``.\n \"\"\"\n ns = {'ab': 1, 'cd': 2}\n global_user_namespace.set_user_namespace(user_ns=ns)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n global_user_namespace.set_user_namespace(user_ns={}, use_ipython=True)\n assert global_user_namespace.user_ns == {}\n assert global_user_namespace.use_ipython is True\n global_user_namespace.set_user_namespace(user_ns=ns, use_ipython=False)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n\n\n<mask token>\n\n\n@pytest.mark.parametrize('device_names, loaded_names, kw_args, success, errmsg'\n , [([], [], {}, True, ''), (('det', 'motor'), ('det', 'motor'), {}, \n True, ''), (['det', 'motor'], ('det', 'motor'), {}, True, ''), ((('det',\n ''), ['motor', '']), ('det', 'motor'), {}, True, ''), (('det', ['motor',\n '']), ('det', 'motor'), {}, True, ''), (('det', ('motor', ''), (\n 'tst_motor2', 'motor2')), ('det', 'motor', 'motor2'), {}, True, ''), ((\n ('motor1', 'motor1_copy1'), ('motor1', 'motor1_copy2')), (\n 'motor1_copy1', 'motor1_copy2'), {}, True, ''), (10, ('det', 'motor'),\n {}, False, \"Parameter 'device_names' value must be a tuple or a list\"),\n ('string', ('det', 'motor'), {}, False,\n \"Parameter 'device_names' value must be a tuple or a list\"), (('det', \n 10), ('det', 'motor'), {}, False,\n \"Parameter 'device_names': element .* must be str, tuple or list\"), ((\n 10, 'motor'), ('det', 'motor'), {}, False,\n \"Parameter 'device_names': element .* must be str, tuple or list\"), ((\n 'det', (10, 'motor2')), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', ('tst_motor2', 10\n )), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', ('tst_motor2',\n 'motor2', 10)), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', 'motor10'), (\n 'det', 'motor10'), {}, False, 'No devices with name'), (('det',\n 'motor3'), ('det', 'motor3'), {}, False, 'Multiple devices with name'),\n (('det', 'motor3'), ('det', 'motor3'), {'active': True}, True, ''), ((\n 'det', 'motor3'), ('det', 'motor3'), {'active': False}, False,\n \"No devices with name 'det' were found in Happi database.\"), (('motor3'\n ,), ('motor3',), {'active': False}, True, ''), (('det', ['motor',\n 'motor3_new']), ('det', 'motor3_new'), {}, True, ''), (('det', ['motor',\n 'Motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'moTor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n '_motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n ' motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor ']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor_$new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n '2motor_$new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers')])\ndef test_load_devices_from_happi_1(tmp_path, monkeypatch, device_names,\n loaded_names, kw_args, success, errmsg):\n \"\"\"\n Tests for ``load_devices_from_happi``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n if success:\n ns = {}\n dlist = load_devices_from_happi(device_names, namespace=ns, **kw_args)\n assert len(ns) == len(loaded_names), str(ns)\n for d in loaded_names:\n assert d in ns\n assert set(dlist) == set(loaded_names)\n else:\n with pytest.raises(Exception, match=errmsg):\n ns = {}\n load_devices_from_happi(device_names, namespace=ns, **kw_args)\n\n def _test_loading(device_names, loaded_names):\n if success:\n load_devices_from_happi(device_names, namespace=locals(), **kw_args\n )\n for d in loaded_names:\n assert d in locals()\n else:\n with pytest.raises(Exception, match=errmsg):\n load_devices_from_happi(device_names, namespace=locals(),\n **kw_args)\n _test_loading(device_names=device_names, loaded_names=loaded_names)\n\n\ndef test_load_devices_from_happi_2_fail(tmp_path, monkeypatch):\n \"\"\"\n Function ``load_devices_from_happi``: parameter ``namespace`` is required and must be of type ``dict``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n with pytest.raises(TypeError, match=\n \"missing 1 required keyword-only argument: 'namespace'\"):\n load_devices_from_happi(['det', 'motor'])\n with pytest.raises(TypeError, match=\n \"Parameter 'namespace' must be a dictionary\"):\n load_devices_from_happi(['det', 'motor'], namespace=[1, 2, 3])\n",
"step-2": "<mask token>\n\n\ndef create_local_imports_files(tmp_path):\n path_dir = os.path.join(tmp_path, 'dir_local_imports')\n fln_func = os.path.join(path_dir, 'file_func.py')\n fln_gen = os.path.join(path_dir, 'file_gen.py')\n os.makedirs(path_dir, exist_ok=True)\n code1 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f1(some_value, user_ns, ipython):\n user_ns[\"func_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f1a(some_value, user_ns):\n user_ns[\"func_A_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"])\n\n\"\"\"\n with open(fln_func, 'w') as f:\n f.writelines(code1)\n code2 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f2(some_value, user_ns, ipython):\n user_ns[\"gen_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f2a(some_value, user_ns):\n user_ns[\"gen_A_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"])\n\n@set_user_ns\ndef f3(some_value, user_ns, ipython):\n user_ns[\"value_f3\"] = some_value\n\nf3(91)\n\n\"\"\"\n with open(fln_gen, 'w') as f:\n f.writelines(code2)\n\n\n<mask token>\n\n\ndef test_set_user_ns_1(tmp_path):\n \"\"\"\n Tests for ``set_user_ns`` decorator. The functionality of the decorator\n is fully tested (only without IPython):\n - using ``global_user_namespace`` to pass values in and out of the function\n defined in the imported module (emulation of ``get_ipython().user_ns``).\n - checking if the function is executed from IPython (only for the function\n defined in the imported module).\n \"\"\"\n pc_path = copy_default_profile_collection(tmp_path)\n create_local_imports_files(pc_path)\n patch_first_startup_file(pc_path, patch_code)\n nspace = load_profile_collection(pc_path)\n assert len(nspace) > 0, 'Failed to load the profile collection'\n assert 'f1' in nspace, 'Test for local imports failed'\n assert 'f2' in nspace, 'Test for local imports failed'\n assert inspect.isgeneratorfunction(nspace['f1']) is False\n assert inspect.isgeneratorfunction(nspace['f2']) is True\n\n def check_signature(func):\n params = inspect.signature(func).parameters\n assert 'user_ns' not in params\n assert 'ipython' not in params\n check_signature(nspace['f1'])\n check_signature(nspace['f1a'])\n check_signature(nspace['f2'])\n check_signature(nspace['f2a'])\n assert nspace['value_f3'] == 91\n assert nspace['value_f4'] == 90\n global_user_namespace.set_user_namespace(user_ns=nspace, use_ipython=False)\n global_user_namespace.user_ns['v_from_namespace'] = 'value-sent-to-func'\n assert nspace['v_from_namespace'] == 'value-sent-to-func'\n result_func = nspace['f1'](60)\n assert nspace['func_was_called'] == 'func_was_called'\n assert result_func[0] == 60\n assert result_func[1] == 'value-sent-to-func'\n assert result_func[2] is False\n result_func = nspace['f1a'](65)\n assert nspace['func_A_was_called'] == 'func_was_called'\n assert result_func[0] == 65\n assert result_func[1] == 'value-sent-to-func'\n global_user_namespace.user_ns['v_from_namespace'] = 'value-sent-to-gen'\n result_func = list(nspace['f2'](110))[0]\n assert nspace['gen_was_called'] == 'gen_was_called'\n assert result_func[0] == 110\n assert result_func[1] == 'value-sent-to-gen'\n assert result_func[2] is False\n result_func = list(nspace['f2a'](115))[0]\n assert nspace['gen_A_was_called'] == 'gen_was_called'\n assert result_func[0] == 115\n assert result_func[1] == 'value-sent-to-gen'\n\n\ndef test_global_user_namespace():\n \"\"\"\n Basic test for ``global_user_namespace``.\n \"\"\"\n ns = {'ab': 1, 'cd': 2}\n global_user_namespace.set_user_namespace(user_ns=ns)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n global_user_namespace.set_user_namespace(user_ns={}, use_ipython=True)\n assert global_user_namespace.user_ns == {}\n assert global_user_namespace.use_ipython is True\n global_user_namespace.set_user_namespace(user_ns=ns, use_ipython=False)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n\n\n<mask token>\n\n\ndef _configure_happi(tmp_path, monkeypatch, json_devices):\n path_json = os.path.join(tmp_path, 'sim_devices.json')\n path_ini = os.path.join(tmp_path, 'happi.ini')\n happi_ini_text = f'[DEFAULT]\\nbackend=json\\npath={path_json}'\n with open(path_ini, 'w') as f:\n f.write(happi_ini_text)\n with open(path_json, 'w') as f:\n f.write(json_devices)\n monkeypatch.setenv('HAPPI_CFG', path_ini)\n\n\n@pytest.mark.parametrize('device_names, loaded_names, kw_args, success, errmsg'\n , [([], [], {}, True, ''), (('det', 'motor'), ('det', 'motor'), {}, \n True, ''), (['det', 'motor'], ('det', 'motor'), {}, True, ''), ((('det',\n ''), ['motor', '']), ('det', 'motor'), {}, True, ''), (('det', ['motor',\n '']), ('det', 'motor'), {}, True, ''), (('det', ('motor', ''), (\n 'tst_motor2', 'motor2')), ('det', 'motor', 'motor2'), {}, True, ''), ((\n ('motor1', 'motor1_copy1'), ('motor1', 'motor1_copy2')), (\n 'motor1_copy1', 'motor1_copy2'), {}, True, ''), (10, ('det', 'motor'),\n {}, False, \"Parameter 'device_names' value must be a tuple or a list\"),\n ('string', ('det', 'motor'), {}, False,\n \"Parameter 'device_names' value must be a tuple or a list\"), (('det', \n 10), ('det', 'motor'), {}, False,\n \"Parameter 'device_names': element .* must be str, tuple or list\"), ((\n 10, 'motor'), ('det', 'motor'), {}, False,\n \"Parameter 'device_names': element .* must be str, tuple or list\"), ((\n 'det', (10, 'motor2')), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', ('tst_motor2', 10\n )), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', ('tst_motor2',\n 'motor2', 10)), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', 'motor10'), (\n 'det', 'motor10'), {}, False, 'No devices with name'), (('det',\n 'motor3'), ('det', 'motor3'), {}, False, 'Multiple devices with name'),\n (('det', 'motor3'), ('det', 'motor3'), {'active': True}, True, ''), ((\n 'det', 'motor3'), ('det', 'motor3'), {'active': False}, False,\n \"No devices with name 'det' were found in Happi database.\"), (('motor3'\n ,), ('motor3',), {'active': False}, True, ''), (('det', ['motor',\n 'motor3_new']), ('det', 'motor3_new'), {}, True, ''), (('det', ['motor',\n 'Motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'moTor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n '_motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n ' motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor ']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor_$new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n '2motor_$new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers')])\ndef test_load_devices_from_happi_1(tmp_path, monkeypatch, device_names,\n loaded_names, kw_args, success, errmsg):\n \"\"\"\n Tests for ``load_devices_from_happi``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n if success:\n ns = {}\n dlist = load_devices_from_happi(device_names, namespace=ns, **kw_args)\n assert len(ns) == len(loaded_names), str(ns)\n for d in loaded_names:\n assert d in ns\n assert set(dlist) == set(loaded_names)\n else:\n with pytest.raises(Exception, match=errmsg):\n ns = {}\n load_devices_from_happi(device_names, namespace=ns, **kw_args)\n\n def _test_loading(device_names, loaded_names):\n if success:\n load_devices_from_happi(device_names, namespace=locals(), **kw_args\n )\n for d in loaded_names:\n assert d in locals()\n else:\n with pytest.raises(Exception, match=errmsg):\n load_devices_from_happi(device_names, namespace=locals(),\n **kw_args)\n _test_loading(device_names=device_names, loaded_names=loaded_names)\n\n\ndef test_load_devices_from_happi_2_fail(tmp_path, monkeypatch):\n \"\"\"\n Function ``load_devices_from_happi``: parameter ``namespace`` is required and must be of type ``dict``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n with pytest.raises(TypeError, match=\n \"missing 1 required keyword-only argument: 'namespace'\"):\n load_devices_from_happi(['det', 'motor'])\n with pytest.raises(TypeError, match=\n \"Parameter 'namespace' must be a dictionary\"):\n load_devices_from_happi(['det', 'motor'], namespace=[1, 2, 3])\n",
"step-3": "<mask token>\n\n\ndef create_local_imports_files(tmp_path):\n path_dir = os.path.join(tmp_path, 'dir_local_imports')\n fln_func = os.path.join(path_dir, 'file_func.py')\n fln_gen = os.path.join(path_dir, 'file_gen.py')\n os.makedirs(path_dir, exist_ok=True)\n code1 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f1(some_value, user_ns, ipython):\n user_ns[\"func_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f1a(some_value, user_ns):\n user_ns[\"func_A_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"])\n\n\"\"\"\n with open(fln_func, 'w') as f:\n f.writelines(code1)\n code2 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f2(some_value, user_ns, ipython):\n user_ns[\"gen_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f2a(some_value, user_ns):\n user_ns[\"gen_A_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"])\n\n@set_user_ns\ndef f3(some_value, user_ns, ipython):\n user_ns[\"value_f3\"] = some_value\n\nf3(91)\n\n\"\"\"\n with open(fln_gen, 'w') as f:\n f.writelines(code2)\n\n\npatch_code = \"\"\"\nfrom dir_local_imports.file_func import f1, f1a\nfrom dir_local_imports.file_gen import f2, f2a\n\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n@set_user_ns\ndef f4(some_value, user_ns, ipython):\n user_ns[\"value_f4\"] = some_value\n\nf4(90)\n\n\"\"\"\n\n\ndef test_set_user_ns_1(tmp_path):\n \"\"\"\n Tests for ``set_user_ns`` decorator. The functionality of the decorator\n is fully tested (only without IPython):\n - using ``global_user_namespace`` to pass values in and out of the function\n defined in the imported module (emulation of ``get_ipython().user_ns``).\n - checking if the function is executed from IPython (only for the function\n defined in the imported module).\n \"\"\"\n pc_path = copy_default_profile_collection(tmp_path)\n create_local_imports_files(pc_path)\n patch_first_startup_file(pc_path, patch_code)\n nspace = load_profile_collection(pc_path)\n assert len(nspace) > 0, 'Failed to load the profile collection'\n assert 'f1' in nspace, 'Test for local imports failed'\n assert 'f2' in nspace, 'Test for local imports failed'\n assert inspect.isgeneratorfunction(nspace['f1']) is False\n assert inspect.isgeneratorfunction(nspace['f2']) is True\n\n def check_signature(func):\n params = inspect.signature(func).parameters\n assert 'user_ns' not in params\n assert 'ipython' not in params\n check_signature(nspace['f1'])\n check_signature(nspace['f1a'])\n check_signature(nspace['f2'])\n check_signature(nspace['f2a'])\n assert nspace['value_f3'] == 91\n assert nspace['value_f4'] == 90\n global_user_namespace.set_user_namespace(user_ns=nspace, use_ipython=False)\n global_user_namespace.user_ns['v_from_namespace'] = 'value-sent-to-func'\n assert nspace['v_from_namespace'] == 'value-sent-to-func'\n result_func = nspace['f1'](60)\n assert nspace['func_was_called'] == 'func_was_called'\n assert result_func[0] == 60\n assert result_func[1] == 'value-sent-to-func'\n assert result_func[2] is False\n result_func = nspace['f1a'](65)\n assert nspace['func_A_was_called'] == 'func_was_called'\n assert result_func[0] == 65\n assert result_func[1] == 'value-sent-to-func'\n global_user_namespace.user_ns['v_from_namespace'] = 'value-sent-to-gen'\n result_func = list(nspace['f2'](110))[0]\n assert nspace['gen_was_called'] == 'gen_was_called'\n assert result_func[0] == 110\n assert result_func[1] == 'value-sent-to-gen'\n assert result_func[2] is False\n result_func = list(nspace['f2a'](115))[0]\n assert nspace['gen_A_was_called'] == 'gen_was_called'\n assert result_func[0] == 115\n assert result_func[1] == 'value-sent-to-gen'\n\n\ndef test_global_user_namespace():\n \"\"\"\n Basic test for ``global_user_namespace``.\n \"\"\"\n ns = {'ab': 1, 'cd': 2}\n global_user_namespace.set_user_namespace(user_ns=ns)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n global_user_namespace.set_user_namespace(user_ns={}, use_ipython=True)\n assert global_user_namespace.user_ns == {}\n assert global_user_namespace.use_ipython is True\n global_user_namespace.set_user_namespace(user_ns=ns, use_ipython=False)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n\n\n_happi_json_db_1 = \"\"\"\n{\n \"det\": {\n \"_id\": \"det\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.DetWithCountTime\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"det\",\n \"type\": \"OphydItem\"\n },\n \"motor\": {\n \"_id\": \"motor\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxisNoPosition\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor\",\n \"type\": \"OphydItem\"\n },\n \"motor1\": {\n \"_id\": \"motor1\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxisNoHints\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor1\",\n \"type\": \"OphydItem\"\n },\n \"tst_motor2\": {\n \"_id\": \"tst_motor2\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxisNoHints\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"tst_motor2\",\n \"type\": \"OphydItem\"\n },\n \"motor3\": {\n \"_id\": \"motor3\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxis\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor3\",\n \"type\": \"OphydItem\"\n },\n \"motor3_duplicate_error\": {\n \"_id\": \"motor3\",\n \"active\": false,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxis\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor3\",\n \"type\": \"OphydItem\"\n }\n}\n\"\"\"\n\n\ndef _configure_happi(tmp_path, monkeypatch, json_devices):\n path_json = os.path.join(tmp_path, 'sim_devices.json')\n path_ini = os.path.join(tmp_path, 'happi.ini')\n happi_ini_text = f'[DEFAULT]\\nbackend=json\\npath={path_json}'\n with open(path_ini, 'w') as f:\n f.write(happi_ini_text)\n with open(path_json, 'w') as f:\n f.write(json_devices)\n monkeypatch.setenv('HAPPI_CFG', path_ini)\n\n\n@pytest.mark.parametrize('device_names, loaded_names, kw_args, success, errmsg'\n , [([], [], {}, True, ''), (('det', 'motor'), ('det', 'motor'), {}, \n True, ''), (['det', 'motor'], ('det', 'motor'), {}, True, ''), ((('det',\n ''), ['motor', '']), ('det', 'motor'), {}, True, ''), (('det', ['motor',\n '']), ('det', 'motor'), {}, True, ''), (('det', ('motor', ''), (\n 'tst_motor2', 'motor2')), ('det', 'motor', 'motor2'), {}, True, ''), ((\n ('motor1', 'motor1_copy1'), ('motor1', 'motor1_copy2')), (\n 'motor1_copy1', 'motor1_copy2'), {}, True, ''), (10, ('det', 'motor'),\n {}, False, \"Parameter 'device_names' value must be a tuple or a list\"),\n ('string', ('det', 'motor'), {}, False,\n \"Parameter 'device_names' value must be a tuple or a list\"), (('det', \n 10), ('det', 'motor'), {}, False,\n \"Parameter 'device_names': element .* must be str, tuple or list\"), ((\n 10, 'motor'), ('det', 'motor'), {}, False,\n \"Parameter 'device_names': element .* must be str, tuple or list\"), ((\n 'det', (10, 'motor2')), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', ('tst_motor2', 10\n )), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', ('tst_motor2',\n 'motor2', 10)), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', 'motor10'), (\n 'det', 'motor10'), {}, False, 'No devices with name'), (('det',\n 'motor3'), ('det', 'motor3'), {}, False, 'Multiple devices with name'),\n (('det', 'motor3'), ('det', 'motor3'), {'active': True}, True, ''), ((\n 'det', 'motor3'), ('det', 'motor3'), {'active': False}, False,\n \"No devices with name 'det' were found in Happi database.\"), (('motor3'\n ,), ('motor3',), {'active': False}, True, ''), (('det', ['motor',\n 'motor3_new']), ('det', 'motor3_new'), {}, True, ''), (('det', ['motor',\n 'Motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'moTor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n '_motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n ' motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor ']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor_$new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n '2motor_$new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers')])\ndef test_load_devices_from_happi_1(tmp_path, monkeypatch, device_names,\n loaded_names, kw_args, success, errmsg):\n \"\"\"\n Tests for ``load_devices_from_happi``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n if success:\n ns = {}\n dlist = load_devices_from_happi(device_names, namespace=ns, **kw_args)\n assert len(ns) == len(loaded_names), str(ns)\n for d in loaded_names:\n assert d in ns\n assert set(dlist) == set(loaded_names)\n else:\n with pytest.raises(Exception, match=errmsg):\n ns = {}\n load_devices_from_happi(device_names, namespace=ns, **kw_args)\n\n def _test_loading(device_names, loaded_names):\n if success:\n load_devices_from_happi(device_names, namespace=locals(), **kw_args\n )\n for d in loaded_names:\n assert d in locals()\n else:\n with pytest.raises(Exception, match=errmsg):\n load_devices_from_happi(device_names, namespace=locals(),\n **kw_args)\n _test_loading(device_names=device_names, loaded_names=loaded_names)\n\n\ndef test_load_devices_from_happi_2_fail(tmp_path, monkeypatch):\n \"\"\"\n Function ``load_devices_from_happi``: parameter ``namespace`` is required and must be of type ``dict``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n with pytest.raises(TypeError, match=\n \"missing 1 required keyword-only argument: 'namespace'\"):\n load_devices_from_happi(['det', 'motor'])\n with pytest.raises(TypeError, match=\n \"Parameter 'namespace' must be a dictionary\"):\n load_devices_from_happi(['det', 'motor'], namespace=[1, 2, 3])\n",
"step-4": "import os\nimport inspect\nimport pytest\nfrom ._common import copy_default_profile_collection, patch_first_startup_file\nfrom bluesky_queueserver.manager.profile_tools import global_user_namespace, load_devices_from_happi\nfrom bluesky_queueserver.manager.profile_ops import load_profile_collection\n\n\ndef create_local_imports_files(tmp_path):\n path_dir = os.path.join(tmp_path, 'dir_local_imports')\n fln_func = os.path.join(path_dir, 'file_func.py')\n fln_gen = os.path.join(path_dir, 'file_gen.py')\n os.makedirs(path_dir, exist_ok=True)\n code1 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f1(some_value, user_ns, ipython):\n user_ns[\"func_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f1a(some_value, user_ns):\n user_ns[\"func_A_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"])\n\n\"\"\"\n with open(fln_func, 'w') as f:\n f.writelines(code1)\n code2 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f2(some_value, user_ns, ipython):\n user_ns[\"gen_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f2a(some_value, user_ns):\n user_ns[\"gen_A_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"])\n\n@set_user_ns\ndef f3(some_value, user_ns, ipython):\n user_ns[\"value_f3\"] = some_value\n\nf3(91)\n\n\"\"\"\n with open(fln_gen, 'w') as f:\n f.writelines(code2)\n\n\npatch_code = \"\"\"\nfrom dir_local_imports.file_func import f1, f1a\nfrom dir_local_imports.file_gen import f2, f2a\n\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n@set_user_ns\ndef f4(some_value, user_ns, ipython):\n user_ns[\"value_f4\"] = some_value\n\nf4(90)\n\n\"\"\"\n\n\ndef test_set_user_ns_1(tmp_path):\n \"\"\"\n Tests for ``set_user_ns`` decorator. The functionality of the decorator\n is fully tested (only without IPython):\n - using ``global_user_namespace`` to pass values in and out of the function\n defined in the imported module (emulation of ``get_ipython().user_ns``).\n - checking if the function is executed from IPython (only for the function\n defined in the imported module).\n \"\"\"\n pc_path = copy_default_profile_collection(tmp_path)\n create_local_imports_files(pc_path)\n patch_first_startup_file(pc_path, patch_code)\n nspace = load_profile_collection(pc_path)\n assert len(nspace) > 0, 'Failed to load the profile collection'\n assert 'f1' in nspace, 'Test for local imports failed'\n assert 'f2' in nspace, 'Test for local imports failed'\n assert inspect.isgeneratorfunction(nspace['f1']) is False\n assert inspect.isgeneratorfunction(nspace['f2']) is True\n\n def check_signature(func):\n params = inspect.signature(func).parameters\n assert 'user_ns' not in params\n assert 'ipython' not in params\n check_signature(nspace['f1'])\n check_signature(nspace['f1a'])\n check_signature(nspace['f2'])\n check_signature(nspace['f2a'])\n assert nspace['value_f3'] == 91\n assert nspace['value_f4'] == 90\n global_user_namespace.set_user_namespace(user_ns=nspace, use_ipython=False)\n global_user_namespace.user_ns['v_from_namespace'] = 'value-sent-to-func'\n assert nspace['v_from_namespace'] == 'value-sent-to-func'\n result_func = nspace['f1'](60)\n assert nspace['func_was_called'] == 'func_was_called'\n assert result_func[0] == 60\n assert result_func[1] == 'value-sent-to-func'\n assert result_func[2] is False\n result_func = nspace['f1a'](65)\n assert nspace['func_A_was_called'] == 'func_was_called'\n assert result_func[0] == 65\n assert result_func[1] == 'value-sent-to-func'\n global_user_namespace.user_ns['v_from_namespace'] = 'value-sent-to-gen'\n result_func = list(nspace['f2'](110))[0]\n assert nspace['gen_was_called'] == 'gen_was_called'\n assert result_func[0] == 110\n assert result_func[1] == 'value-sent-to-gen'\n assert result_func[2] is False\n result_func = list(nspace['f2a'](115))[0]\n assert nspace['gen_A_was_called'] == 'gen_was_called'\n assert result_func[0] == 115\n assert result_func[1] == 'value-sent-to-gen'\n\n\ndef test_global_user_namespace():\n \"\"\"\n Basic test for ``global_user_namespace``.\n \"\"\"\n ns = {'ab': 1, 'cd': 2}\n global_user_namespace.set_user_namespace(user_ns=ns)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n global_user_namespace.set_user_namespace(user_ns={}, use_ipython=True)\n assert global_user_namespace.user_ns == {}\n assert global_user_namespace.use_ipython is True\n global_user_namespace.set_user_namespace(user_ns=ns, use_ipython=False)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n\n\n_happi_json_db_1 = \"\"\"\n{\n \"det\": {\n \"_id\": \"det\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.DetWithCountTime\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"det\",\n \"type\": \"OphydItem\"\n },\n \"motor\": {\n \"_id\": \"motor\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxisNoPosition\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor\",\n \"type\": \"OphydItem\"\n },\n \"motor1\": {\n \"_id\": \"motor1\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxisNoHints\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor1\",\n \"type\": \"OphydItem\"\n },\n \"tst_motor2\": {\n \"_id\": \"tst_motor2\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxisNoHints\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"tst_motor2\",\n \"type\": \"OphydItem\"\n },\n \"motor3\": {\n \"_id\": \"motor3\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxis\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor3\",\n \"type\": \"OphydItem\"\n },\n \"motor3_duplicate_error\": {\n \"_id\": \"motor3\",\n \"active\": false,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxis\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor3\",\n \"type\": \"OphydItem\"\n }\n}\n\"\"\"\n\n\ndef _configure_happi(tmp_path, monkeypatch, json_devices):\n path_json = os.path.join(tmp_path, 'sim_devices.json')\n path_ini = os.path.join(tmp_path, 'happi.ini')\n happi_ini_text = f'[DEFAULT]\\nbackend=json\\npath={path_json}'\n with open(path_ini, 'w') as f:\n f.write(happi_ini_text)\n with open(path_json, 'w') as f:\n f.write(json_devices)\n monkeypatch.setenv('HAPPI_CFG', path_ini)\n\n\n@pytest.mark.parametrize('device_names, loaded_names, kw_args, success, errmsg'\n , [([], [], {}, True, ''), (('det', 'motor'), ('det', 'motor'), {}, \n True, ''), (['det', 'motor'], ('det', 'motor'), {}, True, ''), ((('det',\n ''), ['motor', '']), ('det', 'motor'), {}, True, ''), (('det', ['motor',\n '']), ('det', 'motor'), {}, True, ''), (('det', ('motor', ''), (\n 'tst_motor2', 'motor2')), ('det', 'motor', 'motor2'), {}, True, ''), ((\n ('motor1', 'motor1_copy1'), ('motor1', 'motor1_copy2')), (\n 'motor1_copy1', 'motor1_copy2'), {}, True, ''), (10, ('det', 'motor'),\n {}, False, \"Parameter 'device_names' value must be a tuple or a list\"),\n ('string', ('det', 'motor'), {}, False,\n \"Parameter 'device_names' value must be a tuple or a list\"), (('det', \n 10), ('det', 'motor'), {}, False,\n \"Parameter 'device_names': element .* must be str, tuple or list\"), ((\n 10, 'motor'), ('det', 'motor'), {}, False,\n \"Parameter 'device_names': element .* must be str, tuple or list\"), ((\n 'det', (10, 'motor2')), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', ('tst_motor2', 10\n )), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', ('tst_motor2',\n 'motor2', 10)), ('det', 'motor'), {}, False,\n 'element .* is expected to be in the form'), (('det', 'motor10'), (\n 'det', 'motor10'), {}, False, 'No devices with name'), (('det',\n 'motor3'), ('det', 'motor3'), {}, False, 'Multiple devices with name'),\n (('det', 'motor3'), ('det', 'motor3'), {'active': True}, True, ''), ((\n 'det', 'motor3'), ('det', 'motor3'), {'active': False}, False,\n \"No devices with name 'det' were found in Happi database.\"), (('motor3'\n ,), ('motor3',), {'active': False}, True, ''), (('det', ['motor',\n 'motor3_new']), ('det', 'motor3_new'), {}, True, ''), (('det', ['motor',\n 'Motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'moTor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n '_motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n ' motor']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor ']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n 'motor_$new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers'), (('det', ['motor',\n '2motor_$new']), ('det', 'motor'), {}, False,\n 'may consist of lowercase letters, numbers')])\ndef test_load_devices_from_happi_1(tmp_path, monkeypatch, device_names,\n loaded_names, kw_args, success, errmsg):\n \"\"\"\n Tests for ``load_devices_from_happi``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n if success:\n ns = {}\n dlist = load_devices_from_happi(device_names, namespace=ns, **kw_args)\n assert len(ns) == len(loaded_names), str(ns)\n for d in loaded_names:\n assert d in ns\n assert set(dlist) == set(loaded_names)\n else:\n with pytest.raises(Exception, match=errmsg):\n ns = {}\n load_devices_from_happi(device_names, namespace=ns, **kw_args)\n\n def _test_loading(device_names, loaded_names):\n if success:\n load_devices_from_happi(device_names, namespace=locals(), **kw_args\n )\n for d in loaded_names:\n assert d in locals()\n else:\n with pytest.raises(Exception, match=errmsg):\n load_devices_from_happi(device_names, namespace=locals(),\n **kw_args)\n _test_loading(device_names=device_names, loaded_names=loaded_names)\n\n\ndef test_load_devices_from_happi_2_fail(tmp_path, monkeypatch):\n \"\"\"\n Function ``load_devices_from_happi``: parameter ``namespace`` is required and must be of type ``dict``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n with pytest.raises(TypeError, match=\n \"missing 1 required keyword-only argument: 'namespace'\"):\n load_devices_from_happi(['det', 'motor'])\n with pytest.raises(TypeError, match=\n \"Parameter 'namespace' must be a dictionary\"):\n load_devices_from_happi(['det', 'motor'], namespace=[1, 2, 3])\n",
"step-5": "import os\nimport inspect\nimport pytest\n\nfrom ._common import copy_default_profile_collection, patch_first_startup_file\nfrom bluesky_queueserver.manager.profile_tools import global_user_namespace, load_devices_from_happi\nfrom bluesky_queueserver.manager.profile_ops import load_profile_collection\n\n\ndef create_local_imports_files(tmp_path):\n path_dir = os.path.join(tmp_path, \"dir_local_imports\")\n fln_func = os.path.join(path_dir, \"file_func.py\")\n fln_gen = os.path.join(path_dir, \"file_gen.py\")\n\n os.makedirs(path_dir, exist_ok=True)\n\n # Create file1\n code1 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f1(some_value, user_ns, ipython):\n user_ns[\"func_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f1a(some_value, user_ns):\n user_ns[\"func_A_was_called\"] = \"func_was_called\"\n return (some_value, user_ns[\"v_from_namespace\"])\n\n\"\"\"\n with open(fln_func, \"w\") as f:\n f.writelines(code1)\n\n # Create file2\n code2 = \"\"\"\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n# Function that has the parameter 'ipython'\n@set_user_ns\ndef f2(some_value, user_ns, ipython):\n user_ns[\"gen_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"], bool(ipython))\n\n# Function that has no parameter 'ipython'\n@set_user_ns\ndef f2a(some_value, user_ns):\n user_ns[\"gen_A_was_called\"] = \"gen_was_called\"\n yield (some_value, user_ns[\"v_from_namespace\"])\n\n@set_user_ns\ndef f3(some_value, user_ns, ipython):\n user_ns[\"value_f3\"] = some_value\n\nf3(91)\n\n\"\"\"\n with open(fln_gen, \"w\") as f:\n f.writelines(code2)\n\n\npatch_code = \"\"\"\nfrom dir_local_imports.file_func import f1, f1a\nfrom dir_local_imports.file_gen import f2, f2a\n\nfrom bluesky_queueserver.manager.profile_tools import set_user_ns\n\n@set_user_ns\ndef f4(some_value, user_ns, ipython):\n user_ns[\"value_f4\"] = some_value\n\nf4(90)\n\n\"\"\"\n\n\ndef test_set_user_ns_1(tmp_path):\n \"\"\"\n Tests for ``set_user_ns`` decorator. The functionality of the decorator\n is fully tested (only without IPython):\n - using ``global_user_namespace`` to pass values in and out of the function\n defined in the imported module (emulation of ``get_ipython().user_ns``).\n - checking if the function is executed from IPython (only for the function\n defined in the imported module).\n \"\"\"\n pc_path = copy_default_profile_collection(tmp_path)\n\n create_local_imports_files(pc_path)\n patch_first_startup_file(pc_path, patch_code)\n\n nspace = load_profile_collection(pc_path)\n assert len(nspace) > 0, \"Failed to load the profile collection\"\n assert \"f1\" in nspace, \"Test for local imports failed\"\n assert \"f2\" in nspace, \"Test for local imports failed\"\n\n # Test if the decorator `set_user_ns` does not change function type\n assert inspect.isgeneratorfunction(nspace[\"f1\"]) is False\n assert inspect.isgeneratorfunction(nspace[\"f2\"]) is True\n\n # Check if the extra arguments are removed from the function signature\n def check_signature(func):\n params = inspect.signature(func).parameters\n assert \"user_ns\" not in params\n assert \"ipython\" not in params\n\n check_signature(nspace[\"f1\"])\n check_signature(nspace[\"f1a\"])\n check_signature(nspace[\"f2\"])\n check_signature(nspace[\"f2a\"])\n\n assert nspace[\"value_f3\"] == 91\n assert nspace[\"value_f4\"] == 90\n\n # Test function\n global_user_namespace.set_user_namespace(user_ns=nspace, use_ipython=False)\n global_user_namespace.user_ns[\"v_from_namespace\"] = \"value-sent-to-func\"\n assert nspace[\"v_from_namespace\"] == \"value-sent-to-func\"\n\n result_func = nspace[\"f1\"](60)\n assert nspace[\"func_was_called\"] == \"func_was_called\"\n assert result_func[0] == 60\n assert result_func[1] == \"value-sent-to-func\"\n assert result_func[2] is False\n\n result_func = nspace[\"f1a\"](65)\n assert nspace[\"func_A_was_called\"] == \"func_was_called\"\n assert result_func[0] == 65\n assert result_func[1] == \"value-sent-to-func\"\n\n # Test generator\n global_user_namespace.user_ns[\"v_from_namespace\"] = \"value-sent-to-gen\"\n result_func = list(nspace[\"f2\"](110))[0]\n assert nspace[\"gen_was_called\"] == \"gen_was_called\"\n assert result_func[0] == 110\n assert result_func[1] == \"value-sent-to-gen\"\n assert result_func[2] is False\n\n result_func = list(nspace[\"f2a\"](115))[0]\n assert nspace[\"gen_A_was_called\"] == \"gen_was_called\"\n assert result_func[0] == 115\n assert result_func[1] == \"value-sent-to-gen\"\n\n\ndef test_global_user_namespace():\n \"\"\"\n Basic test for ``global_user_namespace``.\n \"\"\"\n ns = {\"ab\": 1, \"cd\": 2}\n global_user_namespace.set_user_namespace(user_ns=ns)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n\n global_user_namespace.set_user_namespace(user_ns={}, use_ipython=True)\n assert global_user_namespace.user_ns == {}\n assert global_user_namespace.use_ipython is True\n\n global_user_namespace.set_user_namespace(user_ns=ns, use_ipython=False)\n assert global_user_namespace.user_ns == ns\n assert global_user_namespace.use_ipython is False\n\n\n_happi_json_db_1 = \"\"\"\n{\n \"det\": {\n \"_id\": \"det\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.DetWithCountTime\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"det\",\n \"type\": \"OphydItem\"\n },\n \"motor\": {\n \"_id\": \"motor\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxisNoPosition\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor\",\n \"type\": \"OphydItem\"\n },\n \"motor1\": {\n \"_id\": \"motor1\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxisNoHints\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor1\",\n \"type\": \"OphydItem\"\n },\n \"tst_motor2\": {\n \"_id\": \"tst_motor2\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxisNoHints\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"tst_motor2\",\n \"type\": \"OphydItem\"\n },\n \"motor3\": {\n \"_id\": \"motor3\",\n \"active\": true,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxis\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor3\",\n \"type\": \"OphydItem\"\n },\n \"motor3_duplicate_error\": {\n \"_id\": \"motor3\",\n \"active\": false,\n \"args\": [],\n \"device_class\": \"ophyd.sim.SynAxis\",\n \"documentation\": null,\n \"kwargs\": {\n \"name\": \"{{name}}\"\n },\n \"name\": \"motor3\",\n \"type\": \"OphydItem\"\n }\n}\n\"\"\"\n\n\ndef _configure_happi(tmp_path, monkeypatch, json_devices):\n path_json = os.path.join(tmp_path, \"sim_devices.json\")\n path_ini = os.path.join(tmp_path, \"happi.ini\")\n\n happi_ini_text = f\"[DEFAULT]\\nbackend=json\\npath={path_json}\"\n\n with open(path_ini, \"w\") as f:\n f.write(happi_ini_text)\n\n with open(path_json, \"w\") as f:\n f.write(json_devices)\n\n monkeypatch.setenv(\"HAPPI_CFG\", path_ini)\n\n\n# fmt: off\n@pytest.mark.parametrize(\"device_names, loaded_names, kw_args, success, errmsg\", [\n ([], [], {}, True, \"\"), # No devices are loaded if the list of devices is empty\n ((\"det\", \"motor\"), (\"det\", \"motor\"), {}, True, \"\"),\n ([\"det\", \"motor\"], (\"det\", \"motor\"), {}, True, \"\"),\n (((\"det\", \"\"), [\"motor\", \"\"]), (\"det\", \"motor\"), {}, True, \"\"),\n ((\"det\", [\"motor\", \"\"]), (\"det\", \"motor\"), {}, True, \"\"),\n ((\"det\", (\"motor\", \"\"), (\"tst_motor2\", \"motor2\")), (\"det\", \"motor\", \"motor2\"), {}, True, \"\"),\n # This is not typical use case, but the same device may be loaded multiple times\n # with different names if needed.\n (((\"motor1\", \"motor1_copy1\"), (\"motor1\", \"motor1_copy2\")), (\"motor1_copy1\", \"motor1_copy2\"), {}, True, \"\"),\n # Incorrect type of the device list\n (10, (\"det\", \"motor\"), {}, False, \"Parameter 'device_names' value must be a tuple or a list\"),\n (\"string\", (\"det\", \"motor\"), {}, False, \"Parameter 'device_names' value must be a tuple or a list\"),\n # Incorrecty type or form of a device list element\n ((\"det\", 10), (\"det\", \"motor\"), {}, False, \"Parameter 'device_names': element .* must be str, tuple or list\"),\n ((10, \"motor\"), (\"det\", \"motor\"), {}, False,\n \"Parameter 'device_names': element .* must be str, tuple or list\"),\n ((\"det\", (10, \"motor2\")), (\"det\", \"motor\"), {}, False, \"element .* is expected to be in the form\"),\n ((\"det\", (\"tst_motor2\", 10)), (\"det\", \"motor\"), {}, False, \"element .* is expected to be in the form\"),\n ((\"det\", (\"tst_motor2\", \"motor2\", 10)), (\"det\", \"motor\"), {}, False,\n \"element .* is expected to be in the form\"),\n # No device found\n ((\"det\", \"motor10\"), (\"det\", \"motor10\"), {}, False, \"No devices with name\"),\n # Multiple devices found (search for \"motor3\" yields multile devices, this is database issue)\n ((\"det\", \"motor3\"), (\"det\", \"motor3\"), {}, False, \"Multiple devices with name\"),\n # Use additional search parameters. (Two entries for \"motor3\" differ in the value of `active` field.\n # A single entry for `det` has `active==True`.)\n ((\"det\", \"motor3\"), (\"det\", \"motor3\"), {\"active\": True}, True, \"\"),\n ((\"det\", \"motor3\"), (\"det\", \"motor3\"), {\"active\": False}, False,\n \"No devices with name 'det' were found in Happi database.\"),\n ((\"motor3\",), (\"motor3\",), {\"active\": False}, True, \"\"),\n # Verify that valid device names are accepted\n ((\"det\", [\"motor\", \"motor3_new\"]), (\"det\", \"motor3_new\"), {}, True, \"\"),\n # Invalid new device name\n ((\"det\", [\"motor\", \"Motor\"]), (\"det\", \"motor\"), {}, False, \"may consist of lowercase letters, numbers\"),\n ((\"det\", [\"motor\", \"moTor\"]), (\"det\", \"motor\"), {}, False, \"may consist of lowercase letters, numbers\"),\n ((\"det\", [\"motor\", \"_motor\"]), (\"det\", \"motor\"), {}, False, \"may consist of lowercase letters, numbers\"),\n ((\"det\", [\"motor\", \" motor\"]), (\"det\", \"motor\"), {}, False, \"may consist of lowercase letters, numbers\"),\n ((\"det\", [\"motor\", \"motor \"]), (\"det\", \"motor\"), {}, False, \"may consist of lowercase letters, numbers\"),\n ((\"det\", [\"motor\", \"motor new\"]), (\"det\", \"motor\"), {}, False, \"may consist of lowercase letters, numbers\"),\n ((\"det\", [\"motor\", \"motor_$new\"]), (\"det\", \"motor\"), {}, False, \"may consist of lowercase letters, numbers\"),\n ((\"det\", [\"motor\", \"2motor_$new\"]), (\"det\", \"motor\"), {}, False, \"may consist of lowercase letters, numbers\"),\n])\n# fmt: on\ndef test_load_devices_from_happi_1(tmp_path, monkeypatch, device_names, loaded_names, kw_args, success, errmsg):\n \"\"\"\n Tests for ``load_devices_from_happi``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n\n # Load as a dictionary\n if success:\n ns = {}\n dlist = load_devices_from_happi(device_names, namespace=ns, **kw_args)\n assert len(ns) == len(loaded_names), str(ns)\n for d in loaded_names:\n assert d in ns\n assert set(dlist) == set(loaded_names)\n else:\n with pytest.raises(Exception, match=errmsg):\n ns = {}\n load_devices_from_happi(device_names, namespace=ns, **kw_args)\n\n # Load in local namespace\n def _test_loading(device_names, loaded_names):\n if success:\n load_devices_from_happi(device_names, namespace=locals(), **kw_args)\n for d in loaded_names:\n assert d in locals()\n else:\n with pytest.raises(Exception, match=errmsg):\n load_devices_from_happi(device_names, namespace=locals(), **kw_args)\n\n _test_loading(device_names=device_names, loaded_names=loaded_names)\n\n\ndef test_load_devices_from_happi_2_fail(tmp_path, monkeypatch):\n \"\"\"\n Function ``load_devices_from_happi``: parameter ``namespace`` is required and must be of type ``dict``.\n \"\"\"\n _configure_happi(tmp_path, monkeypatch, json_devices=_happi_json_db_1)\n\n # Missing 'namespace' parameter\n with pytest.raises(TypeError, match=\"missing 1 required keyword-only argument: 'namespace'\"):\n load_devices_from_happi([\"det\", \"motor\"])\n\n # Incorrect type of 'namespace' parameter\n with pytest.raises(TypeError, match=\"Parameter 'namespace' must be a dictionary\"):\n load_devices_from_happi([\"det\", \"motor\"], namespace=[1, 2, 3])\n",
"step-ids": [
5,
6,
7,
8,
9
]
}
|
[
5,
6,
7,
8,
9
] |
import RPi.GPIO as GPIO
import time
from datetime import datetime
led1 = [('g', 40), ('f', 38), ('a', 36), ('b', 32),
('e', 26), ('d', 24), ('c', 22)]
led2 = [('g', 19), ('f', 15), ('a', 13),
('b', 11), ('e', 7), ('d', 5), ('c', 3)]
numbers = [
('a', 'b', 'c', 'd', 'e', 'f'),
('b', 'c'),
('a', 'b', 'g', 'e', 'd'),
('a', 'b', 'g', 'c', 'd'),
('f', 'g', 'b', 'c'),
('a', 'f', 'g', 'c', 'd'),
('a', 'f', 'g', 'c', 'd', 'e'),
('a', 'b', 'c'),
('a', 'b', 'c', 'd', 'e', 'f', 'g'),
('a', 'b', 'c', 'd', 'f', 'g')
]
reset = 12
minus = 16
more = 18
GPIO.setmode(GPIO.BOARD)
GPIO.setwarnings(False)
GPIO.setup(reset, GPIO.IN)
GPIO.setup(minus, GPIO.IN)
GPIO.setup(more, GPIO.IN)
def setupLed1():
for port in led1:
GPIO.setup(port[1], GPIO.OUT)
def setupLed2():
for port in led2:
GPIO.setup(port[1], GPIO.OUT)
def statusLed(port, status):
GPIO.output(port, status)
def turnOnAllLeds():
for led in led1:
statusLed(led[1], True)
for led in led2:
statusLed(led[1], True)
def turnOffAllLeds():
for led in led1:
statusLed(led[1], False)
for led in led2:
statusLed(led[1], False)
def turnOffOneLed(led):
for port in led:
statusLed(port[1], False)
def createNumber(ledNumber, number):
turnOffOneLed(ledNumber)
for i in range(10):
if number == i:
for letter in numbers[i]:
for led in ledNumber:
if led[0] == letter:
statusLed(led[1], True)
def createNumber2Leds(led1, led2, number):
if number < 10:
createNumber(led1, 0)
createNumber(led2, number)
else:
decenas = number / 10
unidades = number % 10
createNumber(led1, decenas)
createNumber(led2, unidades)
def titileoNumber2Leds(led1, led2, number):
for i in range(3):
turnOffAllLeds()
time.sleep(0.25)
createNumber2Leds(led1, led2, number)
time.sleep(0.25)
def digiTurno():
contador = 0
titileoNumber2Leds(led1, led2, contador)
while True:
if GPIO.input(reset):
contador = 0
print("-"*20+" RESET "+"-"*20)
print(datetime.now())
titileoNumber2Leds(led1, led2, contador)
print("Numero actual = "+str(contador))
time.sleep(.3)
if GPIO.input(more):
if contador < 99:
contador += 1
else:
print(datetime.now())
contador = 0
print("Numero actual = "+str(contador))
createNumber2Leds(led1, led2, contador)
time.sleep(.3)
if GPIO.input(minus):
if contador == 0:
contador = 99
else:
contador = contador-1
print("Numero actual = "+str(contador))
createNumber2Leds(led1, led2, contador)
time.sleep(.3)
def main():
setupLed1()
setupLed2()
turnOffAllLeds()
try:
print("Presione un boton para continuar")
digiTurno()
except (KeyboardInterrupt, SystemExit):
GPIO.cleanup()
if __name__ == "__main__":
main()
|
normal
|
{
"blob_id": "0d022291f9ace02ef1ee5c462657ea6376a0e6a4",
"index": 9436,
"step-1": "<mask token>\n\n\ndef setupLed1():\n for port in led1:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef setupLed2():\n for port in led2:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef statusLed(port, status):\n GPIO.output(port, status)\n\n\ndef turnOnAllLeds():\n for led in led1:\n statusLed(led[1], True)\n for led in led2:\n statusLed(led[1], True)\n\n\ndef turnOffAllLeds():\n for led in led1:\n statusLed(led[1], False)\n for led in led2:\n statusLed(led[1], False)\n\n\ndef turnOffOneLed(led):\n for port in led:\n statusLed(port[1], False)\n\n\n<mask token>\n\n\ndef createNumber2Leds(led1, led2, number):\n if number < 10:\n createNumber(led1, 0)\n createNumber(led2, number)\n else:\n decenas = number / 10\n unidades = number % 10\n createNumber(led1, decenas)\n createNumber(led2, unidades)\n\n\ndef titileoNumber2Leds(led1, led2, number):\n for i in range(3):\n turnOffAllLeds()\n time.sleep(0.25)\n createNumber2Leds(led1, led2, number)\n time.sleep(0.25)\n\n\ndef digiTurno():\n contador = 0\n titileoNumber2Leds(led1, led2, contador)\n while True:\n if GPIO.input(reset):\n contador = 0\n print('-' * 20 + ' RESET ' + '-' * 20)\n print(datetime.now())\n titileoNumber2Leds(led1, led2, contador)\n print('Numero actual = ' + str(contador))\n time.sleep(0.3)\n if GPIO.input(more):\n if contador < 99:\n contador += 1\n else:\n print(datetime.now())\n contador = 0\n print('Numero actual = ' + str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(0.3)\n if GPIO.input(minus):\n if contador == 0:\n contador = 99\n else:\n contador = contador - 1\n print('Numero actual = ' + str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(0.3)\n\n\ndef main():\n setupLed1()\n setupLed2()\n turnOffAllLeds()\n try:\n print('Presione un boton para continuar')\n digiTurno()\n except (KeyboardInterrupt, SystemExit):\n GPIO.cleanup()\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef setupLed1():\n for port in led1:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef setupLed2():\n for port in led2:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef statusLed(port, status):\n GPIO.output(port, status)\n\n\ndef turnOnAllLeds():\n for led in led1:\n statusLed(led[1], True)\n for led in led2:\n statusLed(led[1], True)\n\n\ndef turnOffAllLeds():\n for led in led1:\n statusLed(led[1], False)\n for led in led2:\n statusLed(led[1], False)\n\n\ndef turnOffOneLed(led):\n for port in led:\n statusLed(port[1], False)\n\n\ndef createNumber(ledNumber, number):\n turnOffOneLed(ledNumber)\n for i in range(10):\n if number == i:\n for letter in numbers[i]:\n for led in ledNumber:\n if led[0] == letter:\n statusLed(led[1], True)\n\n\ndef createNumber2Leds(led1, led2, number):\n if number < 10:\n createNumber(led1, 0)\n createNumber(led2, number)\n else:\n decenas = number / 10\n unidades = number % 10\n createNumber(led1, decenas)\n createNumber(led2, unidades)\n\n\ndef titileoNumber2Leds(led1, led2, number):\n for i in range(3):\n turnOffAllLeds()\n time.sleep(0.25)\n createNumber2Leds(led1, led2, number)\n time.sleep(0.25)\n\n\ndef digiTurno():\n contador = 0\n titileoNumber2Leds(led1, led2, contador)\n while True:\n if GPIO.input(reset):\n contador = 0\n print('-' * 20 + ' RESET ' + '-' * 20)\n print(datetime.now())\n titileoNumber2Leds(led1, led2, contador)\n print('Numero actual = ' + str(contador))\n time.sleep(0.3)\n if GPIO.input(more):\n if contador < 99:\n contador += 1\n else:\n print(datetime.now())\n contador = 0\n print('Numero actual = ' + str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(0.3)\n if GPIO.input(minus):\n if contador == 0:\n contador = 99\n else:\n contador = contador - 1\n print('Numero actual = ' + str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(0.3)\n\n\ndef main():\n setupLed1()\n setupLed2()\n turnOffAllLeds()\n try:\n print('Presione un boton para continuar')\n digiTurno()\n except (KeyboardInterrupt, SystemExit):\n GPIO.cleanup()\n\n\n<mask token>\n",
"step-3": "<mask token>\nGPIO.setmode(GPIO.BOARD)\nGPIO.setwarnings(False)\nGPIO.setup(reset, GPIO.IN)\nGPIO.setup(minus, GPIO.IN)\nGPIO.setup(more, GPIO.IN)\n\n\ndef setupLed1():\n for port in led1:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef setupLed2():\n for port in led2:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef statusLed(port, status):\n GPIO.output(port, status)\n\n\ndef turnOnAllLeds():\n for led in led1:\n statusLed(led[1], True)\n for led in led2:\n statusLed(led[1], True)\n\n\ndef turnOffAllLeds():\n for led in led1:\n statusLed(led[1], False)\n for led in led2:\n statusLed(led[1], False)\n\n\ndef turnOffOneLed(led):\n for port in led:\n statusLed(port[1], False)\n\n\ndef createNumber(ledNumber, number):\n turnOffOneLed(ledNumber)\n for i in range(10):\n if number == i:\n for letter in numbers[i]:\n for led in ledNumber:\n if led[0] == letter:\n statusLed(led[1], True)\n\n\ndef createNumber2Leds(led1, led2, number):\n if number < 10:\n createNumber(led1, 0)\n createNumber(led2, number)\n else:\n decenas = number / 10\n unidades = number % 10\n createNumber(led1, decenas)\n createNumber(led2, unidades)\n\n\ndef titileoNumber2Leds(led1, led2, number):\n for i in range(3):\n turnOffAllLeds()\n time.sleep(0.25)\n createNumber2Leds(led1, led2, number)\n time.sleep(0.25)\n\n\ndef digiTurno():\n contador = 0\n titileoNumber2Leds(led1, led2, contador)\n while True:\n if GPIO.input(reset):\n contador = 0\n print('-' * 20 + ' RESET ' + '-' * 20)\n print(datetime.now())\n titileoNumber2Leds(led1, led2, contador)\n print('Numero actual = ' + str(contador))\n time.sleep(0.3)\n if GPIO.input(more):\n if contador < 99:\n contador += 1\n else:\n print(datetime.now())\n contador = 0\n print('Numero actual = ' + str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(0.3)\n if GPIO.input(minus):\n if contador == 0:\n contador = 99\n else:\n contador = contador - 1\n print('Numero actual = ' + str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(0.3)\n\n\ndef main():\n setupLed1()\n setupLed2()\n turnOffAllLeds()\n try:\n print('Presione un boton para continuar')\n digiTurno()\n except (KeyboardInterrupt, SystemExit):\n GPIO.cleanup()\n\n\nif __name__ == '__main__':\n main()\n",
"step-4": "<mask token>\nled1 = [('g', 40), ('f', 38), ('a', 36), ('b', 32), ('e', 26), ('d', 24), (\n 'c', 22)]\nled2 = [('g', 19), ('f', 15), ('a', 13), ('b', 11), ('e', 7), ('d', 5), (\n 'c', 3)]\nnumbers = [('a', 'b', 'c', 'd', 'e', 'f'), ('b', 'c'), ('a', 'b', 'g', 'e',\n 'd'), ('a', 'b', 'g', 'c', 'd'), ('f', 'g', 'b', 'c'), ('a', 'f', 'g',\n 'c', 'd'), ('a', 'f', 'g', 'c', 'd', 'e'), ('a', 'b', 'c'), ('a', 'b',\n 'c', 'd', 'e', 'f', 'g'), ('a', 'b', 'c', 'd', 'f', 'g')]\nreset = 12\nminus = 16\nmore = 18\nGPIO.setmode(GPIO.BOARD)\nGPIO.setwarnings(False)\nGPIO.setup(reset, GPIO.IN)\nGPIO.setup(minus, GPIO.IN)\nGPIO.setup(more, GPIO.IN)\n\n\ndef setupLed1():\n for port in led1:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef setupLed2():\n for port in led2:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef statusLed(port, status):\n GPIO.output(port, status)\n\n\ndef turnOnAllLeds():\n for led in led1:\n statusLed(led[1], True)\n for led in led2:\n statusLed(led[1], True)\n\n\ndef turnOffAllLeds():\n for led in led1:\n statusLed(led[1], False)\n for led in led2:\n statusLed(led[1], False)\n\n\ndef turnOffOneLed(led):\n for port in led:\n statusLed(port[1], False)\n\n\ndef createNumber(ledNumber, number):\n turnOffOneLed(ledNumber)\n for i in range(10):\n if number == i:\n for letter in numbers[i]:\n for led in ledNumber:\n if led[0] == letter:\n statusLed(led[1], True)\n\n\ndef createNumber2Leds(led1, led2, number):\n if number < 10:\n createNumber(led1, 0)\n createNumber(led2, number)\n else:\n decenas = number / 10\n unidades = number % 10\n createNumber(led1, decenas)\n createNumber(led2, unidades)\n\n\ndef titileoNumber2Leds(led1, led2, number):\n for i in range(3):\n turnOffAllLeds()\n time.sleep(0.25)\n createNumber2Leds(led1, led2, number)\n time.sleep(0.25)\n\n\ndef digiTurno():\n contador = 0\n titileoNumber2Leds(led1, led2, contador)\n while True:\n if GPIO.input(reset):\n contador = 0\n print('-' * 20 + ' RESET ' + '-' * 20)\n print(datetime.now())\n titileoNumber2Leds(led1, led2, contador)\n print('Numero actual = ' + str(contador))\n time.sleep(0.3)\n if GPIO.input(more):\n if contador < 99:\n contador += 1\n else:\n print(datetime.now())\n contador = 0\n print('Numero actual = ' + str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(0.3)\n if GPIO.input(minus):\n if contador == 0:\n contador = 99\n else:\n contador = contador - 1\n print('Numero actual = ' + str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(0.3)\n\n\ndef main():\n setupLed1()\n setupLed2()\n turnOffAllLeds()\n try:\n print('Presione un boton para continuar')\n digiTurno()\n except (KeyboardInterrupt, SystemExit):\n GPIO.cleanup()\n\n\nif __name__ == '__main__':\n main()\n",
"step-5": "import RPi.GPIO as GPIO\nimport time\nfrom datetime import datetime\n\nled1 = [('g', 40), ('f', 38), ('a', 36), ('b', 32),\n ('e', 26), ('d', 24), ('c', 22)]\nled2 = [('g', 19), ('f', 15), ('a', 13),\n ('b', 11), ('e', 7), ('d', 5), ('c', 3)]\nnumbers = [\n ('a', 'b', 'c', 'd', 'e', 'f'),\n ('b', 'c'),\n ('a', 'b', 'g', 'e', 'd'),\n ('a', 'b', 'g', 'c', 'd'),\n ('f', 'g', 'b', 'c'),\n ('a', 'f', 'g', 'c', 'd'),\n ('a', 'f', 'g', 'c', 'd', 'e'),\n ('a', 'b', 'c'),\n ('a', 'b', 'c', 'd', 'e', 'f', 'g'),\n ('a', 'b', 'c', 'd', 'f', 'g')\n]\n\nreset = 12\nminus = 16\nmore = 18\n\nGPIO.setmode(GPIO.BOARD)\nGPIO.setwarnings(False)\nGPIO.setup(reset, GPIO.IN)\nGPIO.setup(minus, GPIO.IN)\nGPIO.setup(more, GPIO.IN)\n\n\ndef setupLed1():\n for port in led1:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef setupLed2():\n for port in led2:\n GPIO.setup(port[1], GPIO.OUT)\n\n\ndef statusLed(port, status):\n GPIO.output(port, status)\n\n\ndef turnOnAllLeds():\n for led in led1:\n statusLed(led[1], True)\n for led in led2:\n statusLed(led[1], True)\n\n\ndef turnOffAllLeds():\n for led in led1:\n statusLed(led[1], False)\n for led in led2:\n statusLed(led[1], False)\n\n\ndef turnOffOneLed(led):\n for port in led:\n statusLed(port[1], False)\n\n\ndef createNumber(ledNumber, number):\n turnOffOneLed(ledNumber)\n for i in range(10):\n if number == i:\n for letter in numbers[i]:\n for led in ledNumber:\n if led[0] == letter:\n statusLed(led[1], True)\n\n\ndef createNumber2Leds(led1, led2, number):\n if number < 10:\n createNumber(led1, 0)\n createNumber(led2, number)\n else:\n decenas = number / 10\n unidades = number % 10\n createNumber(led1, decenas)\n createNumber(led2, unidades)\n\n\ndef titileoNumber2Leds(led1, led2, number):\n for i in range(3):\n turnOffAllLeds()\n time.sleep(0.25)\n createNumber2Leds(led1, led2, number)\n time.sleep(0.25)\n\n\ndef digiTurno():\n contador = 0\n titileoNumber2Leds(led1, led2, contador)\n while True:\n if GPIO.input(reset):\n contador = 0\n print(\"-\"*20+\" RESET \"+\"-\"*20)\n print(datetime.now())\n titileoNumber2Leds(led1, led2, contador)\n print(\"Numero actual = \"+str(contador))\n time.sleep(.3)\n if GPIO.input(more):\n if contador < 99:\n contador += 1\n else:\n print(datetime.now())\n contador = 0\n print(\"Numero actual = \"+str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(.3)\n if GPIO.input(minus):\n if contador == 0:\n contador = 99\n else:\n contador = contador-1\n print(\"Numero actual = \"+str(contador))\n createNumber2Leds(led1, led2, contador)\n time.sleep(.3)\n\n\ndef main():\n setupLed1()\n setupLed2()\n turnOffAllLeds()\n try:\n print(\"Presione un boton para continuar\")\n digiTurno()\n except (KeyboardInterrupt, SystemExit):\n GPIO.cleanup()\n\n\nif __name__ == \"__main__\":\n main()\n",
"step-ids": [
10,
11,
12,
13,
15
]
}
|
[
10,
11,
12,
13,
15
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Migration(migrations.Migration):
dependencies = [('app1', '0002_property_details')]
operations = [migrations.AlterField(model_name='property_details', name
='flat_type', field=models.CharField(choices=[('1', '1BHK'), ('2',
'2BHK'), ('3', '3BHK')], max_length=20)), migrations.AlterField(
model_name='property_details', name='possession', field=models.
CharField(choices=[('1', 'ready to move'), ('2', 'work on progress'
)], max_length=20)), migrations.AlterField(model_name=
'property_details', name='price_range', field=models.CharField(
choices=[('1', '$5000'), ('2', '$15,000'), ('3', '$25,000'), ('4',
'$40,000'), ('5', '$50,000')], max_length=50))]
<|reserved_special_token_1|>
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [('app1', '0002_property_details')]
operations = [migrations.AlterField(model_name='property_details', name
='flat_type', field=models.CharField(choices=[('1', '1BHK'), ('2',
'2BHK'), ('3', '3BHK')], max_length=20)), migrations.AlterField(
model_name='property_details', name='possession', field=models.
CharField(choices=[('1', 'ready to move'), ('2', 'work on progress'
)], max_length=20)), migrations.AlterField(model_name=
'property_details', name='price_range', field=models.CharField(
choices=[('1', '$5000'), ('2', '$15,000'), ('3', '$25,000'), ('4',
'$40,000'), ('5', '$50,000')], max_length=50))]
<|reserved_special_token_1|>
# Generated by Django 2.2.3 on 2019-07-11 22:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app1', '0002_property_details'),
]
operations = [
migrations.AlterField(
model_name='property_details',
name='flat_type',
field=models.CharField(choices=[('1', '1BHK'), ('2', '2BHK'), ('3', '3BHK')], max_length=20),
),
migrations.AlterField(
model_name='property_details',
name='possession',
field=models.CharField(choices=[('1', 'ready to move'), ('2', 'work on progress')], max_length=20),
),
migrations.AlterField(
model_name='property_details',
name='price_range',
field=models.CharField(choices=[('1', '$5000'), ('2', '$15,000'), ('3', '$25,000'), ('4', '$40,000'), ('5', '$50,000')], max_length=50),
),
]
|
flexible
|
{
"blob_id": "8cdd7646dbf23259e160186f332b5cb02b67291b",
"index": 5121,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Migration(migrations.Migration):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('app1', '0002_property_details')]\n operations = [migrations.AlterField(model_name='property_details', name\n ='flat_type', field=models.CharField(choices=[('1', '1BHK'), ('2',\n '2BHK'), ('3', '3BHK')], max_length=20)), migrations.AlterField(\n model_name='property_details', name='possession', field=models.\n CharField(choices=[('1', 'ready to move'), ('2', 'work on progress'\n )], max_length=20)), migrations.AlterField(model_name=\n 'property_details', name='price_range', field=models.CharField(\n choices=[('1', '$5000'), ('2', '$15,000'), ('3', '$25,000'), ('4',\n '$40,000'), ('5', '$50,000')], max_length=50))]\n",
"step-4": "from django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n dependencies = [('app1', '0002_property_details')]\n operations = [migrations.AlterField(model_name='property_details', name\n ='flat_type', field=models.CharField(choices=[('1', '1BHK'), ('2',\n '2BHK'), ('3', '3BHK')], max_length=20)), migrations.AlterField(\n model_name='property_details', name='possession', field=models.\n CharField(choices=[('1', 'ready to move'), ('2', 'work on progress'\n )], max_length=20)), migrations.AlterField(model_name=\n 'property_details', name='price_range', field=models.CharField(\n choices=[('1', '$5000'), ('2', '$15,000'), ('3', '$25,000'), ('4',\n '$40,000'), ('5', '$50,000')], max_length=50))]\n",
"step-5": "# Generated by Django 2.2.3 on 2019-07-11 22:04\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('app1', '0002_property_details'),\n ]\n\n operations = [\n migrations.AlterField(\n model_name='property_details',\n name='flat_type',\n field=models.CharField(choices=[('1', '1BHK'), ('2', '2BHK'), ('3', '3BHK')], max_length=20),\n ),\n migrations.AlterField(\n model_name='property_details',\n name='possession',\n field=models.CharField(choices=[('1', 'ready to move'), ('2', 'work on progress')], max_length=20),\n ),\n migrations.AlterField(\n model_name='property_details',\n name='price_range',\n field=models.CharField(choices=[('1', '$5000'), ('2', '$15,000'), ('3', '$25,000'), ('4', '$40,000'), ('5', '$50,000')], max_length=50),\n ),\n ]\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ModD(Soppa):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class ModD(Soppa):
needs = ['test_project.modf']
something = 1
<|reserved_special_token_1|>
from soppa.contrib import *
class ModD(Soppa):
needs = ['test_project.modf']
something = 1
|
flexible
|
{
"blob_id": "13da16ba89e4743b12d9b8e24929864747f8bbf2",
"index": 1308,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass ModD(Soppa):\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass ModD(Soppa):\n needs = ['test_project.modf']\n something = 1\n",
"step-4": "from soppa.contrib import *\n\n\nclass ModD(Soppa):\n needs = ['test_project.modf']\n something = 1\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
'''
This program will simulate leveling a DnD character, showing their ending HP, and stats.
'''
import argparse
import csv
import json
import re
import time
from openpyxl import load_workbook
from pandas import DataFrame
from src import classes, util
def import_race_data(file_path):
'''
This method imports data from the inputed CSV and returns a dictionary containing
all of the data formated by race and subrace
Arguments:
:param import_data: (str) The filepath to the data
Returns:
dict: The dictionary of all of the data
'''
retval = {}
# Open csv file and read in all data
with open(file_path) as csv_file:
reader = csv.DictReader(csv_file)
for row in reader:
race = row['Race']
subrace = row['Subrace']
if(subrace):
if(race in retval):
if('Subraces' not in retval[race]):
retval[race]['Subraces'] = {}
retval[race]['Subraces'][subrace] = row
else:
retval[race] = {'Subraces':{}}
retval[race]['Subraces'][subrace] = row
else:
retval[race] = row
return retval
def update_mode(args):
'''
This method is the main method for running this program in Update mode.
Update mode takes in a specifically formated XLSX file and outputs a JSON
file containing all of the data for races and subraces needed by the
program in run mode
Arguments:
:param args: (dict) A dictionary containing the needed arguments
Returns:
bool: Whether or not the update completed successfully or not
'''
# Lets first open the workbook
try:
workbook = load_workbook(args['xlsx_file'])
except:
return False
# Now turn the Race sheet into a dataframe
df = DataFrame()
for name in workbook.sheetnames:
if('Race' in name):
df = DataFrame(workbook[name].values)
# If we find nothing, return failure
if(df.empty):
return False
# Lets remove the title row
df.drop(0, axis=0, inplace=True)
df.reset_index(inplace=True, drop=True)
# Now lets get the headers, find the last column, and remove this row
end_col = (df.iloc[0, :].values == None).argmax()
df.drop(df.iloc[:, end_col:], axis=1, inplace=True)
df.columns = list(df.iloc[0, :])
df.drop(0, axis=0, inplace=True)
df.reset_index(inplace=True, drop=True)
# Now lets resize this dataframe to only contain the information we want
# We first scroll down the rows to find the first blank cell, that is the
# end of the rows
end_row = (df.iloc[:, 0].values == None).argmax()
df.drop(df[end_row:].index, axis=0, inplace=True)
# Now let's get the race names and source names
hyperlink_re = re.compile(r'(?<=,")(.+)(?=")')
df['Race'] = df['Race'].apply(
lambda x: x if hyperlink_re.search(x) is None else hyperlink_re.search(x).group(1)
)
df['Source'] = df['Source'].apply(
lambda x: x if hyperlink_re.search(x) is None else hyperlink_re.search(x).group(1)
)
# Now make sure the stat fields are correct integers
# Loop through dataframe so we can assemble the json in the format we want
data = {}
asi_re = re.compile(r'ASI: ([+-]\d) \(x(\d)\)(?:\s{1}\((.+)\))?')
for index, row in df.iterrows():
# First lets index this record into the correct spot in the array
row = dict(row)
race = row['Race']
subrace = row['Subrace']
if(subrace):
if(race in data):
if('Subraces' not in data[race]):
data[race]['Subraces'] = {}
data[race]['Subraces'][subrace] = row
else:
data[race] = {'Subraces':{}}
data[race]['Subraces'][subrace] = row
else:
data[race] = row
# Now that we have added this row, check if there are any special ASI rules to note
if(row['Additional'] is not None):
matches = asi_re.search(row['Additional'])
if(matches):
# We found something
asi = {'size': matches.group(1), 'number': matches.group(2)}
# Check if we have restrictions
if(matches.group(3)):
# We either can put the point into a number of options, or not
# into one stat
if('-' in matches.group(3)):
# We cannot use this stat
asi['not_allowed'] = matches.group(3).split('-')[1]
if('|' in matches.group(3)):
# We can only use one or the other
asi['allowed'] = [x.capitalize() for x in matches.group(3).split(' | ')]
# Now add this to the row of data
if(subrace):
data[race]['Subraces'][subrace]['ASI'] = asi
else:
data[race]['ASI'] = asi
# Done! Let's dump this file
with open('race_data.json', 'w') as fp:
json.dump(data, fp, indent=2)
return True
def run_mode(args):
'''
This method is the main method for running this program in Run mode.
This mode goes through the character simulation
Arguments:
:param args: (dict) A dictionary containing the needed arguments
'''
char = classes.Character(
"Human", None, ['Str','Dex','Con','Int','Wis','Cha'],
classes.StatSelection.ROLL_4D6_DROP_ONE, classes.HPSelection.ROLL_HP,
classes.ASISelection.STRICT_FOCUS
)
print(char.id)
print(char.stats)
char = classes.Character(
"Human", "Variant", ['Str','Dex','Con','Int','Wis','Cha'],
classes.StatSelection.ROLL_3D6, classes.HPSelection.ROLL_HP,
classes.ASISelection.FOCUS_ODD_TO_EVEN
)
print(char.id)
print(char.stats)
if __name__ == "__main__":
# Setup argument parsers and parse arguments
main_parser = argparse.ArgumentParser(description='Character Simulator')
subparsers = main_parser.add_subparsers(help='Mode Help')
update_parser = subparsers.add_parser('update', help='Update Help')
update_parser.add_argument('xlsx_file', type=str, help='Path to the .xlsx race file')
run_parser = subparsers.add_parser('run', help='Run Help')
args = vars(main_parser.parse_args())
# If we are in update mode, update the json file
if('xlsx_file' in args):
update_mode(args)
else:
run_mode(args)
|
normal
|
{
"blob_id": "022c8d6c31ad5494b03bfe93d17396eac25b011e",
"index": 8706,
"step-1": "<mask token>\n\n\ndef update_mode(args):\n \"\"\"\n This method is the main method for running this program in Update mode.\n\n Update mode takes in a specifically formated XLSX file and outputs a JSON\n file containing all of the data for races and subraces needed by the\n program in run mode\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n\n Returns:\n bool: Whether or not the update completed successfully or not\n \"\"\"\n try:\n workbook = load_workbook(args['xlsx_file'])\n except:\n return False\n df = DataFrame()\n for name in workbook.sheetnames:\n if 'Race' in name:\n df = DataFrame(workbook[name].values)\n if df.empty:\n return False\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n end_col = (df.iloc[0, :].values == None).argmax()\n df.drop(df.iloc[:, end_col:], axis=1, inplace=True)\n df.columns = list(df.iloc[0, :])\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n end_row = (df.iloc[:, 0].values == None).argmax()\n df.drop(df[end_row:].index, axis=0, inplace=True)\n hyperlink_re = re.compile('(?<=,\")(.+)(?=\")')\n df['Race'] = df['Race'].apply(lambda x: x if hyperlink_re.search(x) is\n None else hyperlink_re.search(x).group(1))\n df['Source'] = df['Source'].apply(lambda x: x if hyperlink_re.search(x) is\n None else hyperlink_re.search(x).group(1))\n data = {}\n asi_re = re.compile('ASI: ([+-]\\\\d) \\\\(x(\\\\d)\\\\)(?:\\\\s{1}\\\\((.+)\\\\))?')\n for index, row in df.iterrows():\n row = dict(row)\n race = row['Race']\n subrace = row['Subrace']\n if subrace:\n if race in data:\n if 'Subraces' not in data[race]:\n data[race]['Subraces'] = {}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = {'Subraces': {}}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = row\n if row['Additional'] is not None:\n matches = asi_re.search(row['Additional'])\n if matches:\n asi = {'size': matches.group(1), 'number': matches.group(2)}\n if matches.group(3):\n if '-' in matches.group(3):\n asi['not_allowed'] = matches.group(3).split('-')[1]\n if '|' in matches.group(3):\n asi['allowed'] = [x.capitalize() for x in matches.\n group(3).split(' | ')]\n if subrace:\n data[race]['Subraces'][subrace]['ASI'] = asi\n else:\n data[race]['ASI'] = asi\n with open('race_data.json', 'w') as fp:\n json.dump(data, fp, indent=2)\n return True\n\n\ndef run_mode(args):\n \"\"\"\n This method is the main method for running this program in Run mode.\n\n This mode goes through the character simulation\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n \"\"\"\n char = classes.Character('Human', None, ['Str', 'Dex', 'Con', 'Int',\n 'Wis', 'Cha'], classes.StatSelection.ROLL_4D6_DROP_ONE, classes.\n HPSelection.ROLL_HP, classes.ASISelection.STRICT_FOCUS)\n print(char.id)\n print(char.stats)\n char = classes.Character('Human', 'Variant', ['Str', 'Dex', 'Con',\n 'Int', 'Wis', 'Cha'], classes.StatSelection.ROLL_3D6, classes.\n HPSelection.ROLL_HP, classes.ASISelection.FOCUS_ODD_TO_EVEN)\n print(char.id)\n print(char.stats)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef import_race_data(file_path):\n \"\"\"\n This method imports data from the inputed CSV and returns a dictionary containing\n all of the data formated by race and subrace\n\n Arguments:\n :param import_data: (str) The filepath to the data\n\n Returns:\n dict: The dictionary of all of the data\n \"\"\"\n retval = {}\n with open(file_path) as csv_file:\n reader = csv.DictReader(csv_file)\n for row in reader:\n race = row['Race']\n subrace = row['Subrace']\n if subrace:\n if race in retval:\n if 'Subraces' not in retval[race]:\n retval[race]['Subraces'] = {}\n retval[race]['Subraces'][subrace] = row\n else:\n retval[race] = {'Subraces': {}}\n retval[race]['Subraces'][subrace] = row\n else:\n retval[race] = row\n return retval\n\n\ndef update_mode(args):\n \"\"\"\n This method is the main method for running this program in Update mode.\n\n Update mode takes in a specifically formated XLSX file and outputs a JSON\n file containing all of the data for races and subraces needed by the\n program in run mode\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n\n Returns:\n bool: Whether or not the update completed successfully or not\n \"\"\"\n try:\n workbook = load_workbook(args['xlsx_file'])\n except:\n return False\n df = DataFrame()\n for name in workbook.sheetnames:\n if 'Race' in name:\n df = DataFrame(workbook[name].values)\n if df.empty:\n return False\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n end_col = (df.iloc[0, :].values == None).argmax()\n df.drop(df.iloc[:, end_col:], axis=1, inplace=True)\n df.columns = list(df.iloc[0, :])\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n end_row = (df.iloc[:, 0].values == None).argmax()\n df.drop(df[end_row:].index, axis=0, inplace=True)\n hyperlink_re = re.compile('(?<=,\")(.+)(?=\")')\n df['Race'] = df['Race'].apply(lambda x: x if hyperlink_re.search(x) is\n None else hyperlink_re.search(x).group(1))\n df['Source'] = df['Source'].apply(lambda x: x if hyperlink_re.search(x) is\n None else hyperlink_re.search(x).group(1))\n data = {}\n asi_re = re.compile('ASI: ([+-]\\\\d) \\\\(x(\\\\d)\\\\)(?:\\\\s{1}\\\\((.+)\\\\))?')\n for index, row in df.iterrows():\n row = dict(row)\n race = row['Race']\n subrace = row['Subrace']\n if subrace:\n if race in data:\n if 'Subraces' not in data[race]:\n data[race]['Subraces'] = {}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = {'Subraces': {}}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = row\n if row['Additional'] is not None:\n matches = asi_re.search(row['Additional'])\n if matches:\n asi = {'size': matches.group(1), 'number': matches.group(2)}\n if matches.group(3):\n if '-' in matches.group(3):\n asi['not_allowed'] = matches.group(3).split('-')[1]\n if '|' in matches.group(3):\n asi['allowed'] = [x.capitalize() for x in matches.\n group(3).split(' | ')]\n if subrace:\n data[race]['Subraces'][subrace]['ASI'] = asi\n else:\n data[race]['ASI'] = asi\n with open('race_data.json', 'w') as fp:\n json.dump(data, fp, indent=2)\n return True\n\n\ndef run_mode(args):\n \"\"\"\n This method is the main method for running this program in Run mode.\n\n This mode goes through the character simulation\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n \"\"\"\n char = classes.Character('Human', None, ['Str', 'Dex', 'Con', 'Int',\n 'Wis', 'Cha'], classes.StatSelection.ROLL_4D6_DROP_ONE, classes.\n HPSelection.ROLL_HP, classes.ASISelection.STRICT_FOCUS)\n print(char.id)\n print(char.stats)\n char = classes.Character('Human', 'Variant', ['Str', 'Dex', 'Con',\n 'Int', 'Wis', 'Cha'], classes.StatSelection.ROLL_3D6, classes.\n HPSelection.ROLL_HP, classes.ASISelection.FOCUS_ODD_TO_EVEN)\n print(char.id)\n print(char.stats)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef import_race_data(file_path):\n \"\"\"\n This method imports data from the inputed CSV and returns a dictionary containing\n all of the data formated by race and subrace\n\n Arguments:\n :param import_data: (str) The filepath to the data\n\n Returns:\n dict: The dictionary of all of the data\n \"\"\"\n retval = {}\n with open(file_path) as csv_file:\n reader = csv.DictReader(csv_file)\n for row in reader:\n race = row['Race']\n subrace = row['Subrace']\n if subrace:\n if race in retval:\n if 'Subraces' not in retval[race]:\n retval[race]['Subraces'] = {}\n retval[race]['Subraces'][subrace] = row\n else:\n retval[race] = {'Subraces': {}}\n retval[race]['Subraces'][subrace] = row\n else:\n retval[race] = row\n return retval\n\n\ndef update_mode(args):\n \"\"\"\n This method is the main method for running this program in Update mode.\n\n Update mode takes in a specifically formated XLSX file and outputs a JSON\n file containing all of the data for races and subraces needed by the\n program in run mode\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n\n Returns:\n bool: Whether or not the update completed successfully or not\n \"\"\"\n try:\n workbook = load_workbook(args['xlsx_file'])\n except:\n return False\n df = DataFrame()\n for name in workbook.sheetnames:\n if 'Race' in name:\n df = DataFrame(workbook[name].values)\n if df.empty:\n return False\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n end_col = (df.iloc[0, :].values == None).argmax()\n df.drop(df.iloc[:, end_col:], axis=1, inplace=True)\n df.columns = list(df.iloc[0, :])\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n end_row = (df.iloc[:, 0].values == None).argmax()\n df.drop(df[end_row:].index, axis=0, inplace=True)\n hyperlink_re = re.compile('(?<=,\")(.+)(?=\")')\n df['Race'] = df['Race'].apply(lambda x: x if hyperlink_re.search(x) is\n None else hyperlink_re.search(x).group(1))\n df['Source'] = df['Source'].apply(lambda x: x if hyperlink_re.search(x) is\n None else hyperlink_re.search(x).group(1))\n data = {}\n asi_re = re.compile('ASI: ([+-]\\\\d) \\\\(x(\\\\d)\\\\)(?:\\\\s{1}\\\\((.+)\\\\))?')\n for index, row in df.iterrows():\n row = dict(row)\n race = row['Race']\n subrace = row['Subrace']\n if subrace:\n if race in data:\n if 'Subraces' not in data[race]:\n data[race]['Subraces'] = {}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = {'Subraces': {}}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = row\n if row['Additional'] is not None:\n matches = asi_re.search(row['Additional'])\n if matches:\n asi = {'size': matches.group(1), 'number': matches.group(2)}\n if matches.group(3):\n if '-' in matches.group(3):\n asi['not_allowed'] = matches.group(3).split('-')[1]\n if '|' in matches.group(3):\n asi['allowed'] = [x.capitalize() for x in matches.\n group(3).split(' | ')]\n if subrace:\n data[race]['Subraces'][subrace]['ASI'] = asi\n else:\n data[race]['ASI'] = asi\n with open('race_data.json', 'w') as fp:\n json.dump(data, fp, indent=2)\n return True\n\n\ndef run_mode(args):\n \"\"\"\n This method is the main method for running this program in Run mode.\n\n This mode goes through the character simulation\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n \"\"\"\n char = classes.Character('Human', None, ['Str', 'Dex', 'Con', 'Int',\n 'Wis', 'Cha'], classes.StatSelection.ROLL_4D6_DROP_ONE, classes.\n HPSelection.ROLL_HP, classes.ASISelection.STRICT_FOCUS)\n print(char.id)\n print(char.stats)\n char = classes.Character('Human', 'Variant', ['Str', 'Dex', 'Con',\n 'Int', 'Wis', 'Cha'], classes.StatSelection.ROLL_3D6, classes.\n HPSelection.ROLL_HP, classes.ASISelection.FOCUS_ODD_TO_EVEN)\n print(char.id)\n print(char.stats)\n\n\nif __name__ == '__main__':\n main_parser = argparse.ArgumentParser(description='Character Simulator')\n subparsers = main_parser.add_subparsers(help='Mode Help')\n update_parser = subparsers.add_parser('update', help='Update Help')\n update_parser.add_argument('xlsx_file', type=str, help=\n 'Path to the .xlsx race file')\n run_parser = subparsers.add_parser('run', help='Run Help')\n args = vars(main_parser.parse_args())\n if 'xlsx_file' in args:\n update_mode(args)\n else:\n run_mode(args)\n",
"step-4": "<mask token>\nimport argparse\nimport csv\nimport json\nimport re\nimport time\nfrom openpyxl import load_workbook\nfrom pandas import DataFrame\nfrom src import classes, util\n\n\ndef import_race_data(file_path):\n \"\"\"\n This method imports data from the inputed CSV and returns a dictionary containing\n all of the data formated by race and subrace\n\n Arguments:\n :param import_data: (str) The filepath to the data\n\n Returns:\n dict: The dictionary of all of the data\n \"\"\"\n retval = {}\n with open(file_path) as csv_file:\n reader = csv.DictReader(csv_file)\n for row in reader:\n race = row['Race']\n subrace = row['Subrace']\n if subrace:\n if race in retval:\n if 'Subraces' not in retval[race]:\n retval[race]['Subraces'] = {}\n retval[race]['Subraces'][subrace] = row\n else:\n retval[race] = {'Subraces': {}}\n retval[race]['Subraces'][subrace] = row\n else:\n retval[race] = row\n return retval\n\n\ndef update_mode(args):\n \"\"\"\n This method is the main method for running this program in Update mode.\n\n Update mode takes in a specifically formated XLSX file and outputs a JSON\n file containing all of the data for races and subraces needed by the\n program in run mode\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n\n Returns:\n bool: Whether or not the update completed successfully or not\n \"\"\"\n try:\n workbook = load_workbook(args['xlsx_file'])\n except:\n return False\n df = DataFrame()\n for name in workbook.sheetnames:\n if 'Race' in name:\n df = DataFrame(workbook[name].values)\n if df.empty:\n return False\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n end_col = (df.iloc[0, :].values == None).argmax()\n df.drop(df.iloc[:, end_col:], axis=1, inplace=True)\n df.columns = list(df.iloc[0, :])\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n end_row = (df.iloc[:, 0].values == None).argmax()\n df.drop(df[end_row:].index, axis=0, inplace=True)\n hyperlink_re = re.compile('(?<=,\")(.+)(?=\")')\n df['Race'] = df['Race'].apply(lambda x: x if hyperlink_re.search(x) is\n None else hyperlink_re.search(x).group(1))\n df['Source'] = df['Source'].apply(lambda x: x if hyperlink_re.search(x) is\n None else hyperlink_re.search(x).group(1))\n data = {}\n asi_re = re.compile('ASI: ([+-]\\\\d) \\\\(x(\\\\d)\\\\)(?:\\\\s{1}\\\\((.+)\\\\))?')\n for index, row in df.iterrows():\n row = dict(row)\n race = row['Race']\n subrace = row['Subrace']\n if subrace:\n if race in data:\n if 'Subraces' not in data[race]:\n data[race]['Subraces'] = {}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = {'Subraces': {}}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = row\n if row['Additional'] is not None:\n matches = asi_re.search(row['Additional'])\n if matches:\n asi = {'size': matches.group(1), 'number': matches.group(2)}\n if matches.group(3):\n if '-' in matches.group(3):\n asi['not_allowed'] = matches.group(3).split('-')[1]\n if '|' in matches.group(3):\n asi['allowed'] = [x.capitalize() for x in matches.\n group(3).split(' | ')]\n if subrace:\n data[race]['Subraces'][subrace]['ASI'] = asi\n else:\n data[race]['ASI'] = asi\n with open('race_data.json', 'w') as fp:\n json.dump(data, fp, indent=2)\n return True\n\n\ndef run_mode(args):\n \"\"\"\n This method is the main method for running this program in Run mode.\n\n This mode goes through the character simulation\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n \"\"\"\n char = classes.Character('Human', None, ['Str', 'Dex', 'Con', 'Int',\n 'Wis', 'Cha'], classes.StatSelection.ROLL_4D6_DROP_ONE, classes.\n HPSelection.ROLL_HP, classes.ASISelection.STRICT_FOCUS)\n print(char.id)\n print(char.stats)\n char = classes.Character('Human', 'Variant', ['Str', 'Dex', 'Con',\n 'Int', 'Wis', 'Cha'], classes.StatSelection.ROLL_3D6, classes.\n HPSelection.ROLL_HP, classes.ASISelection.FOCUS_ODD_TO_EVEN)\n print(char.id)\n print(char.stats)\n\n\nif __name__ == '__main__':\n main_parser = argparse.ArgumentParser(description='Character Simulator')\n subparsers = main_parser.add_subparsers(help='Mode Help')\n update_parser = subparsers.add_parser('update', help='Update Help')\n update_parser.add_argument('xlsx_file', type=str, help=\n 'Path to the .xlsx race file')\n run_parser = subparsers.add_parser('run', help='Run Help')\n args = vars(main_parser.parse_args())\n if 'xlsx_file' in args:\n update_mode(args)\n else:\n run_mode(args)\n",
"step-5": "'''\nThis program will simulate leveling a DnD character, showing their ending HP, and stats.\n'''\nimport argparse\nimport csv\nimport json\nimport re\nimport time\nfrom openpyxl import load_workbook\nfrom pandas import DataFrame\nfrom src import classes, util\n\n\ndef import_race_data(file_path):\n '''\n This method imports data from the inputed CSV and returns a dictionary containing\n all of the data formated by race and subrace\n\n Arguments:\n :param import_data: (str) The filepath to the data\n\n Returns:\n dict: The dictionary of all of the data\n '''\n retval = {}\n\n # Open csv file and read in all data\n with open(file_path) as csv_file:\n reader = csv.DictReader(csv_file)\n for row in reader:\n race = row['Race']\n subrace = row['Subrace']\n\n if(subrace):\n if(race in retval):\n if('Subraces' not in retval[race]):\n retval[race]['Subraces'] = {}\n retval[race]['Subraces'][subrace] = row\n else:\n retval[race] = {'Subraces':{}}\n retval[race]['Subraces'][subrace] = row\n else:\n retval[race] = row\n\n return retval\n\ndef update_mode(args):\n '''\n This method is the main method for running this program in Update mode.\n\n Update mode takes in a specifically formated XLSX file and outputs a JSON\n file containing all of the data for races and subraces needed by the\n program in run mode\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n\n Returns:\n bool: Whether or not the update completed successfully or not\n '''\n # Lets first open the workbook\n try:\n workbook = load_workbook(args['xlsx_file'])\n except:\n return False\n\n # Now turn the Race sheet into a dataframe\n df = DataFrame()\n for name in workbook.sheetnames:\n if('Race' in name):\n df = DataFrame(workbook[name].values)\n\n # If we find nothing, return failure\n if(df.empty):\n return False\n\n # Lets remove the title row\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n\n # Now lets get the headers, find the last column, and remove this row\n end_col = (df.iloc[0, :].values == None).argmax()\n df.drop(df.iloc[:, end_col:], axis=1, inplace=True)\n df.columns = list(df.iloc[0, :])\n df.drop(0, axis=0, inplace=True)\n df.reset_index(inplace=True, drop=True)\n\n # Now lets resize this dataframe to only contain the information we want\n # We first scroll down the rows to find the first blank cell, that is the\n # end of the rows\n end_row = (df.iloc[:, 0].values == None).argmax()\n df.drop(df[end_row:].index, axis=0, inplace=True)\n\n # Now let's get the race names and source names\n hyperlink_re = re.compile(r'(?<=,\")(.+)(?=\")')\n df['Race'] = df['Race'].apply(\n lambda x: x if hyperlink_re.search(x) is None else hyperlink_re.search(x).group(1)\n )\n df['Source'] = df['Source'].apply(\n lambda x: x if hyperlink_re.search(x) is None else hyperlink_re.search(x).group(1)\n )\n\n # Now make sure the stat fields are correct integers\n\n # Loop through dataframe so we can assemble the json in the format we want\n data = {}\n asi_re = re.compile(r'ASI: ([+-]\\d) \\(x(\\d)\\)(?:\\s{1}\\((.+)\\))?')\n for index, row in df.iterrows():\n # First lets index this record into the correct spot in the array\n row = dict(row)\n race = row['Race']\n subrace = row['Subrace']\n\n if(subrace):\n if(race in data):\n if('Subraces' not in data[race]):\n data[race]['Subraces'] = {}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = {'Subraces':{}}\n data[race]['Subraces'][subrace] = row\n else:\n data[race] = row\n\n # Now that we have added this row, check if there are any special ASI rules to note\n if(row['Additional'] is not None):\n matches = asi_re.search(row['Additional'])\n if(matches):\n # We found something\n asi = {'size': matches.group(1), 'number': matches.group(2)}\n\n # Check if we have restrictions\n if(matches.group(3)):\n # We either can put the point into a number of options, or not\n # into one stat\n if('-' in matches.group(3)):\n # We cannot use this stat\n asi['not_allowed'] = matches.group(3).split('-')[1]\n\n if('|' in matches.group(3)):\n # We can only use one or the other\n asi['allowed'] = [x.capitalize() for x in matches.group(3).split(' | ')]\n \n # Now add this to the row of data\n if(subrace):\n data[race]['Subraces'][subrace]['ASI'] = asi\n else:\n data[race]['ASI'] = asi\n\n # Done! Let's dump this file\n with open('race_data.json', 'w') as fp:\n json.dump(data, fp, indent=2)\n\n return True\n\ndef run_mode(args):\n '''\n This method is the main method for running this program in Run mode.\n\n This mode goes through the character simulation\n\n Arguments:\n :param args: (dict) A dictionary containing the needed arguments\n '''\n char = classes.Character(\n \"Human\", None, ['Str','Dex','Con','Int','Wis','Cha'], \n classes.StatSelection.ROLL_4D6_DROP_ONE, classes.HPSelection.ROLL_HP,\n classes.ASISelection.STRICT_FOCUS\n )\n print(char.id)\n print(char.stats)\n char = classes.Character(\n \"Human\", \"Variant\", ['Str','Dex','Con','Int','Wis','Cha'], \n classes.StatSelection.ROLL_3D6, classes.HPSelection.ROLL_HP,\n classes.ASISelection.FOCUS_ODD_TO_EVEN\n )\n print(char.id)\n print(char.stats)\n\n\nif __name__ == \"__main__\":\n # Setup argument parsers and parse arguments\n main_parser = argparse.ArgumentParser(description='Character Simulator')\n subparsers = main_parser.add_subparsers(help='Mode Help')\n\n update_parser = subparsers.add_parser('update', help='Update Help')\n update_parser.add_argument('xlsx_file', type=str, help='Path to the .xlsx race file')\n\n run_parser = subparsers.add_parser('run', help='Run Help')\n\n args = vars(main_parser.parse_args())\n\n # If we are in update mode, update the json file\n if('xlsx_file' in args):\n update_mode(args)\n else:\n run_mode(args)",
"step-ids": [
2,
3,
4,
5,
6
]
}
|
[
2,
3,
4,
5,
6
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Messages(SQLMixin, SQLBase):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Messages(SQLMixin, SQLBase):
__tablename__ = 'Messages'
title = Column(Unicode(50), nullable=False)
content = Column(UnicodeText, nullable=False)
sender_id = Column(Integer, nullable=False)
receiver_id = Column(Integer, nullable=False)
<|reserved_special_token_1|>
import time
from sqlalchemy import Column, Unicode, UnicodeText, Integer
from models.base_model import SQLMixin, db, SQLBase
class Messages(SQLMixin, SQLBase):
__tablename__ = 'Messages'
title = Column(Unicode(50), nullable=False)
content = Column(UnicodeText, nullable=False)
sender_id = Column(Integer, nullable=False)
receiver_id = Column(Integer, nullable=False)
|
flexible
|
{
"blob_id": "6fbf64e2dc2836a54e54ee009be1d0d8d7c7037a",
"index": 1688,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\nclass Messages(SQLMixin, SQLBase):\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n <mask token>\n",
"step-3": "<mask token>\n\n\nclass Messages(SQLMixin, SQLBase):\n __tablename__ = 'Messages'\n title = Column(Unicode(50), nullable=False)\n content = Column(UnicodeText, nullable=False)\n sender_id = Column(Integer, nullable=False)\n receiver_id = Column(Integer, nullable=False)\n",
"step-4": "import time\nfrom sqlalchemy import Column, Unicode, UnicodeText, Integer\nfrom models.base_model import SQLMixin, db, SQLBase\n\n\nclass Messages(SQLMixin, SQLBase):\n __tablename__ = 'Messages'\n title = Column(Unicode(50), nullable=False)\n content = Column(UnicodeText, nullable=False)\n sender_id = Column(Integer, nullable=False)\n receiver_id = Column(Integer, nullable=False)\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
import re, os, nltk, pymorphy2, sys
from suffix_trees.STree import STree
def make_rules(folder):
rules_dictionary = {}
try:
path = os.path.join(os.getcwd(), 'rules', 'data', folder)
files = os.listdir(path)
except:
path = os.path.join(os.getcwd(), 'data', folder)
files = os.listdir(path)
short_files_rule = re.compile('.txt')
for file in files:
if short_files_rule.search(file) != None:
class_name = re.sub('_', ' ', re.sub('\.txt', '', file))
current_file = open(os.path.join(path, file), 'r', encoding='utf-8').read()
affixes = current_file.split(', ')
rules_dictionary[class_name] = affixes
return(rules_dictionary)
def find_affixes(rules_noun, lemma, word_possible_stress):
for stress_type, affixes in rules_noun.items():
for affix in affixes:
affix_type = ''
if re.search('^[а-яё]+\-$', affix) != None:
regexp = '^'+affix[:-1]
affix_type = 'preffix'
elif re.search('^\-[а-яё]+$', affix) != None:
regexp = affix[1:]+'$'
affix_type = 'suffix'
elif re.search('^[а-яё]+\-\.\.\.\-[а-яё]+$', affix) != None:
regexp = '^'+re.sub('\-\.\.\.\-', '.+', affix)+'$'
affix_type = 'combination'
if re.search(regexp, lemma) != None:
if stress_type in word_possible_stress:
word_possible_stress[stress_type].append((affix, affix_type))
else:
word_possible_stress[stress_type] = [(affix, affix_type)]
return(word_possible_stress)
def find_biggest_affixes(word_possible_stress):
biggest_len_suffix, biggest_len_prefix = 0, 0
biggest_suffix, biggest_prefix = '', ''
if 'all suffixes' in word_possible_stress:
for suffix in word_possible_stress['all suffixes']:
if len(suffix[0]) > biggest_len_suffix:
biggest_suffix = suffix[0]
biggest_len_suffix = len(suffix[0])
del word_possible_stress['all suffixes']
if 'all prefixes' in word_possible_stress:
for prefix in word_possible_stress['all prefixes']:
if len(prefix[0]) > biggest_len_prefix:
biggest_prefix = prefix[0]
biggest_len_prefix = len(prefix[0])
del word_possible_stress['all prefixes']
return(biggest_prefix, biggest_suffix, word_possible_stress)
def find_possible_types(word_possible_stress, biggest_suffix, biggest_prefix):
possible_types = []
for stress_type, affixes in word_possible_stress.items():
for affix in affixes:
if affix[1] == 'suffix':
if affix[0] == biggest_suffix:
possible_types.append(stress_type)
elif affix[1] == 'prefix':
if affix[0] == biggest_prefix:
possible_types.append(stress_type)
elif affix[1] == 'combination':
possible_types = []
pair = affix[0].split('...')
if pair[0] == biggest_prefix and pair[1] == biggest_suffix:
possible_types.append(stress_type)
return(possible_types)
def make_stressed_word(possible_types, token, lemma, biggest_suffix, original_token):
if possible_types[0] == 'prefix' or possible_types[0] == 'first vowel':
stressed_word = re.sub('^([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', '\g<1>\'', token)
#print(token, stressed_word, lemma, biggest_prefix, biggest_suffix)
elif possible_types[0] == 'suffix' or possible_types[0] == 'suffix 1':
stem = STree([token, lemma]).lcs()
stem_cutted = re.sub(re.sub('-', '', biggest_suffix)+'$', '', stem)
for num in range(1,5):
if stem == stem_cutted:
stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num]+'$', '', stem)
stressed_word = re.sub('^('+stem_cutted+'[^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', '\g<1>\'', token)
elif possible_types[0] == 'suffix 2':
stem = STree([token, lemma]).lcs()
stem_cutted = re.sub(re.sub('-', '', biggest_suffix)+'$', '', stem)
for num in range(1,5):
if stem == stem_cutted:
stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num]+'$', '', stem)
stressed_word = re.sub('^('+stem_cutted+'([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){2})', '\g<1>\'', token)
elif possible_types[0] == 'suffix 3':
stem = STree([token, lemma]).lcs()
stem_cutted = re.sub(re.sub('-', '', biggest_suffix)+'$', '', stem)
for num in range(1,5):
if stem == stem_cutted:
stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num]+'$', '', stem)
stressed_word = re.sub('^('+stem_cutted+'([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){3})', '\g<1>\'', token)
elif possible_types[0] == 'presuffix':
stem = STree([token, lemma]).lcs()
stem_cutted = re.sub(re.sub('-', '', biggest_suffix)+'$', '', stem)
for num in range(1,5):
if stem == stem_cutted:
stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num]+'$', '', stem)
suffixes = re.sub(stem_cutted, '', stem)
stressed_word = re.sub('([уеыаоэяиюёУЕЫАОЭЯИЮЁ])([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*'+suffixes+'.{,5})$', '\g<1>\'\g<2>', token)
elif possible_types[0] == 'type B':
stressed_word = re.sub('^(.+[уеыаоэяиюё])([^уеыаоэяиюё]*)$', '\g<1>\'\g<2>', token)
try:
parts = stressed_word.split('\'')
stressed_word = original_token[:len(parts[0])]+'\''+original_token[len(parts[0]):]
except:
stressed_word = original_token
return(stressed_word)
def process_stresses(part_of_speech, rules, pos, lemma, token, original_token, word_possible_stress, current_file):
stressed_word, biggest_suffix, possible_types = '', '', ['']
if part_of_speech in pos:
word_possible_stress = find_affixes(rules, lemma, word_possible_stress)
if word_possible_stress != {} and list(word_possible_stress.keys()) != ['all prefixes', 'all suffixes'] and \
list(word_possible_stress.keys()) != ['all suffixes'] and list(word_possible_stress.keys()) != ['all prefixes']:
biggest_prefix, biggest_suffix, word_possible_stress = find_biggest_affixes(word_possible_stress)
possible_types = find_possible_types(word_possible_stress, biggest_suffix, biggest_prefix)
if len(possible_types) == 1:
stressed_word = make_stressed_word(possible_types, token, lemma, biggest_suffix, original_token)
current_file = re.sub(original_token, stressed_word, current_file)
## if pos == 'VERB':
## print(pos, lemma, token, stressed_word, biggest_suffix, possible_types[0])
if possible_types == []: possible_types = ['']
return(current_file, stressed_word, biggest_suffix, possible_types[0])
def initialize(current_file):
morph = pymorphy2.MorphAnalyzer()
rules_noun = make_rules('NOUN')
rules_adj = make_rules('ADJ')
rules_verb = make_rules('VERB')
all_tokens = nltk.word_tokenize(current_file)
stressed_words, biggest_suffixes, stress_types, poses = [], [], [], []
for token in all_tokens:
stressed_word, biggest_suffix, stress_type = token, '', ''
original_token = token
token = token.lower()
word_possible_stress = {}
if re.search('^[А-ЯЁа-яё\-]+$', token) != None and token != '-':
token = re.sub('^-', '', token)
pos = morph.parse(token)[0].tag.POS
#pos = nltk.pos_tag(token, lang='rus')
lemma = morph.parse(token)[0].normal_form
if pos != None:
current_file, stressed_word, biggest_suffix, stress_type = process_stresses('NOUN', rules_noun, pos, lemma, token, original_token, word_possible_stress, current_file)
if biggest_suffix == '':
current_file,stressed_word, biggest_suffix, stress_type = process_stresses('ADJF', rules_adj, pos, lemma, token, original_token, word_possible_stress, current_file)
if biggest_suffix == '':
current_file, stressed_word, biggest_suffix, stress_type = process_stresses('VERB', rules_verb, pos, lemma, token, original_token, word_possible_stress, current_file)
if stressed_word == '':
stressed_word = original_token
stressed_words.append(stressed_word)
biggest_suffixes.append(biggest_suffix)
stress_types.append(stress_type)
poses.append(pos)
return(current_file, stressed_words, biggest_suffixes, stress_types, poses)
|
normal
|
{
"blob_id": "1bf9785135f6105301d02602e54cbbcbdd249144",
"index": 9283,
"step-1": "<mask token>\n\n\ndef make_rules(folder):\n rules_dictionary = {}\n try:\n path = os.path.join(os.getcwd(), 'rules', 'data', folder)\n files = os.listdir(path)\n except:\n path = os.path.join(os.getcwd(), 'data', folder)\n files = os.listdir(path)\n short_files_rule = re.compile('.txt')\n for file in files:\n if short_files_rule.search(file) != None:\n class_name = re.sub('_', ' ', re.sub('\\\\.txt', '', file))\n current_file = open(os.path.join(path, file), 'r', encoding='utf-8'\n ).read()\n affixes = current_file.split(', ')\n rules_dictionary[class_name] = affixes\n return rules_dictionary\n\n\ndef find_affixes(rules_noun, lemma, word_possible_stress):\n for stress_type, affixes in rules_noun.items():\n for affix in affixes:\n affix_type = ''\n if re.search('^[а-яё]+\\\\-$', affix) != None:\n regexp = '^' + affix[:-1]\n affix_type = 'preffix'\n elif re.search('^\\\\-[а-яё]+$', affix) != None:\n regexp = affix[1:] + '$'\n affix_type = 'suffix'\n elif re.search('^[а-яё]+\\\\-\\\\.\\\\.\\\\.\\\\-[а-яё]+$', affix) != None:\n regexp = '^' + re.sub('\\\\-\\\\.\\\\.\\\\.\\\\-', '.+', affix) + '$'\n affix_type = 'combination'\n if re.search(regexp, lemma) != None:\n if stress_type in word_possible_stress:\n word_possible_stress[stress_type].append((affix,\n affix_type))\n else:\n word_possible_stress[stress_type] = [(affix, affix_type)]\n return word_possible_stress\n\n\n<mask token>\n\n\ndef find_possible_types(word_possible_stress, biggest_suffix, biggest_prefix):\n possible_types = []\n for stress_type, affixes in word_possible_stress.items():\n for affix in affixes:\n if affix[1] == 'suffix':\n if affix[0] == biggest_suffix:\n possible_types.append(stress_type)\n elif affix[1] == 'prefix':\n if affix[0] == biggest_prefix:\n possible_types.append(stress_type)\n elif affix[1] == 'combination':\n possible_types = []\n pair = affix[0].split('...')\n if pair[0] == biggest_prefix and pair[1] == biggest_suffix:\n possible_types.append(stress_type)\n return possible_types\n\n\ndef make_stressed_word(possible_types, token, lemma, biggest_suffix,\n original_token):\n if possible_types[0] == 'prefix' or possible_types[0] == 'first vowel':\n stressed_word = re.sub(\n '^([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', \"\\\\g<1>'\",\n token)\n elif possible_types[0] == 'suffix' or possible_types[0] == 'suffix 1':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '[^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', \"\\\\g<1>'\", token\n )\n elif possible_types[0] == 'suffix 2':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){2})',\n \"\\\\g<1>'\", token)\n elif possible_types[0] == 'suffix 3':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){3})',\n \"\\\\g<1>'\", token)\n elif possible_types[0] == 'presuffix':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n suffixes = re.sub(stem_cutted, '', stem)\n stressed_word = re.sub(\n '([уеыаоэяиюёУЕЫАОЭЯИЮЁ])([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*' + suffixes +\n '.{,5})$', \"\\\\g<1>'\\\\g<2>\", token)\n elif possible_types[0] == 'type B':\n stressed_word = re.sub('^(.+[уеыаоэяиюё])([^уеыаоэяиюё]*)$',\n \"\\\\g<1>'\\\\g<2>\", token)\n try:\n parts = stressed_word.split(\"'\")\n stressed_word = original_token[:len(parts[0])] + \"'\" + original_token[\n len(parts[0]):]\n except:\n stressed_word = original_token\n return stressed_word\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef make_rules(folder):\n rules_dictionary = {}\n try:\n path = os.path.join(os.getcwd(), 'rules', 'data', folder)\n files = os.listdir(path)\n except:\n path = os.path.join(os.getcwd(), 'data', folder)\n files = os.listdir(path)\n short_files_rule = re.compile('.txt')\n for file in files:\n if short_files_rule.search(file) != None:\n class_name = re.sub('_', ' ', re.sub('\\\\.txt', '', file))\n current_file = open(os.path.join(path, file), 'r', encoding='utf-8'\n ).read()\n affixes = current_file.split(', ')\n rules_dictionary[class_name] = affixes\n return rules_dictionary\n\n\ndef find_affixes(rules_noun, lemma, word_possible_stress):\n for stress_type, affixes in rules_noun.items():\n for affix in affixes:\n affix_type = ''\n if re.search('^[а-яё]+\\\\-$', affix) != None:\n regexp = '^' + affix[:-1]\n affix_type = 'preffix'\n elif re.search('^\\\\-[а-яё]+$', affix) != None:\n regexp = affix[1:] + '$'\n affix_type = 'suffix'\n elif re.search('^[а-яё]+\\\\-\\\\.\\\\.\\\\.\\\\-[а-яё]+$', affix) != None:\n regexp = '^' + re.sub('\\\\-\\\\.\\\\.\\\\.\\\\-', '.+', affix) + '$'\n affix_type = 'combination'\n if re.search(regexp, lemma) != None:\n if stress_type in word_possible_stress:\n word_possible_stress[stress_type].append((affix,\n affix_type))\n else:\n word_possible_stress[stress_type] = [(affix, affix_type)]\n return word_possible_stress\n\n\n<mask token>\n\n\ndef find_possible_types(word_possible_stress, biggest_suffix, biggest_prefix):\n possible_types = []\n for stress_type, affixes in word_possible_stress.items():\n for affix in affixes:\n if affix[1] == 'suffix':\n if affix[0] == biggest_suffix:\n possible_types.append(stress_type)\n elif affix[1] == 'prefix':\n if affix[0] == biggest_prefix:\n possible_types.append(stress_type)\n elif affix[1] == 'combination':\n possible_types = []\n pair = affix[0].split('...')\n if pair[0] == biggest_prefix and pair[1] == biggest_suffix:\n possible_types.append(stress_type)\n return possible_types\n\n\ndef make_stressed_word(possible_types, token, lemma, biggest_suffix,\n original_token):\n if possible_types[0] == 'prefix' or possible_types[0] == 'first vowel':\n stressed_word = re.sub(\n '^([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', \"\\\\g<1>'\",\n token)\n elif possible_types[0] == 'suffix' or possible_types[0] == 'suffix 1':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '[^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', \"\\\\g<1>'\", token\n )\n elif possible_types[0] == 'suffix 2':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){2})',\n \"\\\\g<1>'\", token)\n elif possible_types[0] == 'suffix 3':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){3})',\n \"\\\\g<1>'\", token)\n elif possible_types[0] == 'presuffix':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n suffixes = re.sub(stem_cutted, '', stem)\n stressed_word = re.sub(\n '([уеыаоэяиюёУЕЫАОЭЯИЮЁ])([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*' + suffixes +\n '.{,5})$', \"\\\\g<1>'\\\\g<2>\", token)\n elif possible_types[0] == 'type B':\n stressed_word = re.sub('^(.+[уеыаоэяиюё])([^уеыаоэяиюё]*)$',\n \"\\\\g<1>'\\\\g<2>\", token)\n try:\n parts = stressed_word.split(\"'\")\n stressed_word = original_token[:len(parts[0])] + \"'\" + original_token[\n len(parts[0]):]\n except:\n stressed_word = original_token\n return stressed_word\n\n\ndef process_stresses(part_of_speech, rules, pos, lemma, token,\n original_token, word_possible_stress, current_file):\n stressed_word, biggest_suffix, possible_types = '', '', ['']\n if part_of_speech in pos:\n word_possible_stress = find_affixes(rules, lemma, word_possible_stress)\n if word_possible_stress != {} and list(word_possible_stress.keys()\n ) != ['all prefixes', 'all suffixes'] and list(word_possible_stress\n .keys()) != ['all suffixes'] and list(word_possible_stress.keys()\n ) != ['all prefixes']:\n biggest_prefix, biggest_suffix, word_possible_stress = (\n find_biggest_affixes(word_possible_stress))\n possible_types = find_possible_types(word_possible_stress,\n biggest_suffix, biggest_prefix)\n if len(possible_types) == 1:\n stressed_word = make_stressed_word(possible_types, token,\n lemma, biggest_suffix, original_token)\n current_file = re.sub(original_token, stressed_word,\n current_file)\n if possible_types == []:\n possible_types = ['']\n return current_file, stressed_word, biggest_suffix, possible_types[0]\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef make_rules(folder):\n rules_dictionary = {}\n try:\n path = os.path.join(os.getcwd(), 'rules', 'data', folder)\n files = os.listdir(path)\n except:\n path = os.path.join(os.getcwd(), 'data', folder)\n files = os.listdir(path)\n short_files_rule = re.compile('.txt')\n for file in files:\n if short_files_rule.search(file) != None:\n class_name = re.sub('_', ' ', re.sub('\\\\.txt', '', file))\n current_file = open(os.path.join(path, file), 'r', encoding='utf-8'\n ).read()\n affixes = current_file.split(', ')\n rules_dictionary[class_name] = affixes\n return rules_dictionary\n\n\ndef find_affixes(rules_noun, lemma, word_possible_stress):\n for stress_type, affixes in rules_noun.items():\n for affix in affixes:\n affix_type = ''\n if re.search('^[а-яё]+\\\\-$', affix) != None:\n regexp = '^' + affix[:-1]\n affix_type = 'preffix'\n elif re.search('^\\\\-[а-яё]+$', affix) != None:\n regexp = affix[1:] + '$'\n affix_type = 'suffix'\n elif re.search('^[а-яё]+\\\\-\\\\.\\\\.\\\\.\\\\-[а-яё]+$', affix) != None:\n regexp = '^' + re.sub('\\\\-\\\\.\\\\.\\\\.\\\\-', '.+', affix) + '$'\n affix_type = 'combination'\n if re.search(regexp, lemma) != None:\n if stress_type in word_possible_stress:\n word_possible_stress[stress_type].append((affix,\n affix_type))\n else:\n word_possible_stress[stress_type] = [(affix, affix_type)]\n return word_possible_stress\n\n\ndef find_biggest_affixes(word_possible_stress):\n biggest_len_suffix, biggest_len_prefix = 0, 0\n biggest_suffix, biggest_prefix = '', ''\n if 'all suffixes' in word_possible_stress:\n for suffix in word_possible_stress['all suffixes']:\n if len(suffix[0]) > biggest_len_suffix:\n biggest_suffix = suffix[0]\n biggest_len_suffix = len(suffix[0])\n del word_possible_stress['all suffixes']\n if 'all prefixes' in word_possible_stress:\n for prefix in word_possible_stress['all prefixes']:\n if len(prefix[0]) > biggest_len_prefix:\n biggest_prefix = prefix[0]\n biggest_len_prefix = len(prefix[0])\n del word_possible_stress['all prefixes']\n return biggest_prefix, biggest_suffix, word_possible_stress\n\n\ndef find_possible_types(word_possible_stress, biggest_suffix, biggest_prefix):\n possible_types = []\n for stress_type, affixes in word_possible_stress.items():\n for affix in affixes:\n if affix[1] == 'suffix':\n if affix[0] == biggest_suffix:\n possible_types.append(stress_type)\n elif affix[1] == 'prefix':\n if affix[0] == biggest_prefix:\n possible_types.append(stress_type)\n elif affix[1] == 'combination':\n possible_types = []\n pair = affix[0].split('...')\n if pair[0] == biggest_prefix and pair[1] == biggest_suffix:\n possible_types.append(stress_type)\n return possible_types\n\n\ndef make_stressed_word(possible_types, token, lemma, biggest_suffix,\n original_token):\n if possible_types[0] == 'prefix' or possible_types[0] == 'first vowel':\n stressed_word = re.sub(\n '^([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', \"\\\\g<1>'\",\n token)\n elif possible_types[0] == 'suffix' or possible_types[0] == 'suffix 1':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '[^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', \"\\\\g<1>'\", token\n )\n elif possible_types[0] == 'suffix 2':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){2})',\n \"\\\\g<1>'\", token)\n elif possible_types[0] == 'suffix 3':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){3})',\n \"\\\\g<1>'\", token)\n elif possible_types[0] == 'presuffix':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n suffixes = re.sub(stem_cutted, '', stem)\n stressed_word = re.sub(\n '([уеыаоэяиюёУЕЫАОЭЯИЮЁ])([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*' + suffixes +\n '.{,5})$', \"\\\\g<1>'\\\\g<2>\", token)\n elif possible_types[0] == 'type B':\n stressed_word = re.sub('^(.+[уеыаоэяиюё])([^уеыаоэяиюё]*)$',\n \"\\\\g<1>'\\\\g<2>\", token)\n try:\n parts = stressed_word.split(\"'\")\n stressed_word = original_token[:len(parts[0])] + \"'\" + original_token[\n len(parts[0]):]\n except:\n stressed_word = original_token\n return stressed_word\n\n\ndef process_stresses(part_of_speech, rules, pos, lemma, token,\n original_token, word_possible_stress, current_file):\n stressed_word, biggest_suffix, possible_types = '', '', ['']\n if part_of_speech in pos:\n word_possible_stress = find_affixes(rules, lemma, word_possible_stress)\n if word_possible_stress != {} and list(word_possible_stress.keys()\n ) != ['all prefixes', 'all suffixes'] and list(word_possible_stress\n .keys()) != ['all suffixes'] and list(word_possible_stress.keys()\n ) != ['all prefixes']:\n biggest_prefix, biggest_suffix, word_possible_stress = (\n find_biggest_affixes(word_possible_stress))\n possible_types = find_possible_types(word_possible_stress,\n biggest_suffix, biggest_prefix)\n if len(possible_types) == 1:\n stressed_word = make_stressed_word(possible_types, token,\n lemma, biggest_suffix, original_token)\n current_file = re.sub(original_token, stressed_word,\n current_file)\n if possible_types == []:\n possible_types = ['']\n return current_file, stressed_word, biggest_suffix, possible_types[0]\n\n\ndef initialize(current_file):\n morph = pymorphy2.MorphAnalyzer()\n rules_noun = make_rules('NOUN')\n rules_adj = make_rules('ADJ')\n rules_verb = make_rules('VERB')\n all_tokens = nltk.word_tokenize(current_file)\n stressed_words, biggest_suffixes, stress_types, poses = [], [], [], []\n for token in all_tokens:\n stressed_word, biggest_suffix, stress_type = token, '', ''\n original_token = token\n token = token.lower()\n word_possible_stress = {}\n if re.search('^[А-ЯЁа-яё\\\\-]+$', token) != None and token != '-':\n token = re.sub('^-', '', token)\n pos = morph.parse(token)[0].tag.POS\n lemma = morph.parse(token)[0].normal_form\n if pos != None:\n (current_file, stressed_word, biggest_suffix, stress_type) = (\n process_stresses('NOUN', rules_noun, pos, lemma, token,\n original_token, word_possible_stress, current_file))\n if biggest_suffix == '':\n (current_file, stressed_word, biggest_suffix, stress_type\n ) = (process_stresses('ADJF', rules_adj, pos, lemma,\n token, original_token, word_possible_stress,\n current_file))\n if biggest_suffix == '':\n (current_file, stressed_word, biggest_suffix,\n stress_type) = (process_stresses('VERB',\n rules_verb, pos, lemma, token, original_token,\n word_possible_stress, current_file))\n if stressed_word == '':\n stressed_word = original_token\n stressed_words.append(stressed_word)\n biggest_suffixes.append(biggest_suffix)\n stress_types.append(stress_type)\n poses.append(pos)\n return current_file, stressed_words, biggest_suffixes, stress_types, poses\n",
"step-4": "import re, os, nltk, pymorphy2, sys\nfrom suffix_trees.STree import STree\n\n\ndef make_rules(folder):\n rules_dictionary = {}\n try:\n path = os.path.join(os.getcwd(), 'rules', 'data', folder)\n files = os.listdir(path)\n except:\n path = os.path.join(os.getcwd(), 'data', folder)\n files = os.listdir(path)\n short_files_rule = re.compile('.txt')\n for file in files:\n if short_files_rule.search(file) != None:\n class_name = re.sub('_', ' ', re.sub('\\\\.txt', '', file))\n current_file = open(os.path.join(path, file), 'r', encoding='utf-8'\n ).read()\n affixes = current_file.split(', ')\n rules_dictionary[class_name] = affixes\n return rules_dictionary\n\n\ndef find_affixes(rules_noun, lemma, word_possible_stress):\n for stress_type, affixes in rules_noun.items():\n for affix in affixes:\n affix_type = ''\n if re.search('^[а-яё]+\\\\-$', affix) != None:\n regexp = '^' + affix[:-1]\n affix_type = 'preffix'\n elif re.search('^\\\\-[а-яё]+$', affix) != None:\n regexp = affix[1:] + '$'\n affix_type = 'suffix'\n elif re.search('^[а-яё]+\\\\-\\\\.\\\\.\\\\.\\\\-[а-яё]+$', affix) != None:\n regexp = '^' + re.sub('\\\\-\\\\.\\\\.\\\\.\\\\-', '.+', affix) + '$'\n affix_type = 'combination'\n if re.search(regexp, lemma) != None:\n if stress_type in word_possible_stress:\n word_possible_stress[stress_type].append((affix,\n affix_type))\n else:\n word_possible_stress[stress_type] = [(affix, affix_type)]\n return word_possible_stress\n\n\ndef find_biggest_affixes(word_possible_stress):\n biggest_len_suffix, biggest_len_prefix = 0, 0\n biggest_suffix, biggest_prefix = '', ''\n if 'all suffixes' in word_possible_stress:\n for suffix in word_possible_stress['all suffixes']:\n if len(suffix[0]) > biggest_len_suffix:\n biggest_suffix = suffix[0]\n biggest_len_suffix = len(suffix[0])\n del word_possible_stress['all suffixes']\n if 'all prefixes' in word_possible_stress:\n for prefix in word_possible_stress['all prefixes']:\n if len(prefix[0]) > biggest_len_prefix:\n biggest_prefix = prefix[0]\n biggest_len_prefix = len(prefix[0])\n del word_possible_stress['all prefixes']\n return biggest_prefix, biggest_suffix, word_possible_stress\n\n\ndef find_possible_types(word_possible_stress, biggest_suffix, biggest_prefix):\n possible_types = []\n for stress_type, affixes in word_possible_stress.items():\n for affix in affixes:\n if affix[1] == 'suffix':\n if affix[0] == biggest_suffix:\n possible_types.append(stress_type)\n elif affix[1] == 'prefix':\n if affix[0] == biggest_prefix:\n possible_types.append(stress_type)\n elif affix[1] == 'combination':\n possible_types = []\n pair = affix[0].split('...')\n if pair[0] == biggest_prefix and pair[1] == biggest_suffix:\n possible_types.append(stress_type)\n return possible_types\n\n\ndef make_stressed_word(possible_types, token, lemma, biggest_suffix,\n original_token):\n if possible_types[0] == 'prefix' or possible_types[0] == 'first vowel':\n stressed_word = re.sub(\n '^([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', \"\\\\g<1>'\",\n token)\n elif possible_types[0] == 'suffix' or possible_types[0] == 'suffix 1':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '[^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', \"\\\\g<1>'\", token\n )\n elif possible_types[0] == 'suffix 2':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){2})',\n \"\\\\g<1>'\", token)\n elif possible_types[0] == 'suffix 3':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n stressed_word = re.sub('^(' + stem_cutted +\n '([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){3})',\n \"\\\\g<1>'\", token)\n elif possible_types[0] == 'presuffix':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix) + '$', '', stem)\n for num in range(1, 5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num] +\n '$', '', stem)\n suffixes = re.sub(stem_cutted, '', stem)\n stressed_word = re.sub(\n '([уеыаоэяиюёУЕЫАОЭЯИЮЁ])([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*' + suffixes +\n '.{,5})$', \"\\\\g<1>'\\\\g<2>\", token)\n elif possible_types[0] == 'type B':\n stressed_word = re.sub('^(.+[уеыаоэяиюё])([^уеыаоэяиюё]*)$',\n \"\\\\g<1>'\\\\g<2>\", token)\n try:\n parts = stressed_word.split(\"'\")\n stressed_word = original_token[:len(parts[0])] + \"'\" + original_token[\n len(parts[0]):]\n except:\n stressed_word = original_token\n return stressed_word\n\n\ndef process_stresses(part_of_speech, rules, pos, lemma, token,\n original_token, word_possible_stress, current_file):\n stressed_word, biggest_suffix, possible_types = '', '', ['']\n if part_of_speech in pos:\n word_possible_stress = find_affixes(rules, lemma, word_possible_stress)\n if word_possible_stress != {} and list(word_possible_stress.keys()\n ) != ['all prefixes', 'all suffixes'] and list(word_possible_stress\n .keys()) != ['all suffixes'] and list(word_possible_stress.keys()\n ) != ['all prefixes']:\n biggest_prefix, biggest_suffix, word_possible_stress = (\n find_biggest_affixes(word_possible_stress))\n possible_types = find_possible_types(word_possible_stress,\n biggest_suffix, biggest_prefix)\n if len(possible_types) == 1:\n stressed_word = make_stressed_word(possible_types, token,\n lemma, biggest_suffix, original_token)\n current_file = re.sub(original_token, stressed_word,\n current_file)\n if possible_types == []:\n possible_types = ['']\n return current_file, stressed_word, biggest_suffix, possible_types[0]\n\n\ndef initialize(current_file):\n morph = pymorphy2.MorphAnalyzer()\n rules_noun = make_rules('NOUN')\n rules_adj = make_rules('ADJ')\n rules_verb = make_rules('VERB')\n all_tokens = nltk.word_tokenize(current_file)\n stressed_words, biggest_suffixes, stress_types, poses = [], [], [], []\n for token in all_tokens:\n stressed_word, biggest_suffix, stress_type = token, '', ''\n original_token = token\n token = token.lower()\n word_possible_stress = {}\n if re.search('^[А-ЯЁа-яё\\\\-]+$', token) != None and token != '-':\n token = re.sub('^-', '', token)\n pos = morph.parse(token)[0].tag.POS\n lemma = morph.parse(token)[0].normal_form\n if pos != None:\n (current_file, stressed_word, biggest_suffix, stress_type) = (\n process_stresses('NOUN', rules_noun, pos, lemma, token,\n original_token, word_possible_stress, current_file))\n if biggest_suffix == '':\n (current_file, stressed_word, biggest_suffix, stress_type\n ) = (process_stresses('ADJF', rules_adj, pos, lemma,\n token, original_token, word_possible_stress,\n current_file))\n if biggest_suffix == '':\n (current_file, stressed_word, biggest_suffix,\n stress_type) = (process_stresses('VERB',\n rules_verb, pos, lemma, token, original_token,\n word_possible_stress, current_file))\n if stressed_word == '':\n stressed_word = original_token\n stressed_words.append(stressed_word)\n biggest_suffixes.append(biggest_suffix)\n stress_types.append(stress_type)\n poses.append(pos)\n return current_file, stressed_words, biggest_suffixes, stress_types, poses\n",
"step-5": "import re, os, nltk, pymorphy2, sys\nfrom suffix_trees.STree import STree\n\n\ndef make_rules(folder):\n rules_dictionary = {}\n try:\n path = os.path.join(os.getcwd(), 'rules', 'data', folder)\n files = os.listdir(path)\n except:\n path = os.path.join(os.getcwd(), 'data', folder)\n files = os.listdir(path)\n short_files_rule = re.compile('.txt')\n for file in files:\n if short_files_rule.search(file) != None:\n class_name = re.sub('_', ' ', re.sub('\\.txt', '', file))\n current_file = open(os.path.join(path, file), 'r', encoding='utf-8').read()\n affixes = current_file.split(', ')\n rules_dictionary[class_name] = affixes\n return(rules_dictionary)\n\n\ndef find_affixes(rules_noun, lemma, word_possible_stress):\n for stress_type, affixes in rules_noun.items():\n for affix in affixes:\n affix_type = ''\n if re.search('^[а-яё]+\\-$', affix) != None:\n regexp = '^'+affix[:-1]\n affix_type = 'preffix'\n elif re.search('^\\-[а-яё]+$', affix) != None:\n regexp = affix[1:]+'$'\n affix_type = 'suffix'\n elif re.search('^[а-яё]+\\-\\.\\.\\.\\-[а-яё]+$', affix) != None:\n regexp = '^'+re.sub('\\-\\.\\.\\.\\-', '.+', affix)+'$'\n affix_type = 'combination'\n\n if re.search(regexp, lemma) != None:\n if stress_type in word_possible_stress:\n word_possible_stress[stress_type].append((affix, affix_type))\n else:\n word_possible_stress[stress_type] = [(affix, affix_type)]\n return(word_possible_stress)\n\n\ndef find_biggest_affixes(word_possible_stress):\n biggest_len_suffix, biggest_len_prefix = 0, 0\n biggest_suffix, biggest_prefix = '', ''\n if 'all suffixes' in word_possible_stress:\n for suffix in word_possible_stress['all suffixes']:\n if len(suffix[0]) > biggest_len_suffix:\n biggest_suffix = suffix[0]\n biggest_len_suffix = len(suffix[0])\n del word_possible_stress['all suffixes']\n \n if 'all prefixes' in word_possible_stress:\n for prefix in word_possible_stress['all prefixes']:\n if len(prefix[0]) > biggest_len_prefix:\n biggest_prefix = prefix[0]\n biggest_len_prefix = len(prefix[0])\n del word_possible_stress['all prefixes']\n return(biggest_prefix, biggest_suffix, word_possible_stress)\n\n\ndef find_possible_types(word_possible_stress, biggest_suffix, biggest_prefix):\n possible_types = []\n for stress_type, affixes in word_possible_stress.items():\n for affix in affixes:\n if affix[1] == 'suffix':\n if affix[0] == biggest_suffix:\n possible_types.append(stress_type)\n elif affix[1] == 'prefix':\n if affix[0] == biggest_prefix:\n possible_types.append(stress_type)\n elif affix[1] == 'combination':\n possible_types = []\n pair = affix[0].split('...')\n if pair[0] == biggest_prefix and pair[1] == biggest_suffix:\n possible_types.append(stress_type)\n return(possible_types)\n\n\ndef make_stressed_word(possible_types, token, lemma, biggest_suffix, original_token): \n if possible_types[0] == 'prefix' or possible_types[0] == 'first vowel':\n stressed_word = re.sub('^([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', '\\g<1>\\'', token)\n #print(token, stressed_word, lemma, biggest_prefix, biggest_suffix)\n elif possible_types[0] == 'suffix' or possible_types[0] == 'suffix 1':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)+'$', '', stem)\n for num in range(1,5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num]+'$', '', stem)\n stressed_word = re.sub('^('+stem_cutted+'[^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ])', '\\g<1>\\'', token)\n elif possible_types[0] == 'suffix 2':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)+'$', '', stem)\n for num in range(1,5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num]+'$', '', stem)\n stressed_word = re.sub('^('+stem_cutted+'([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){2})', '\\g<1>\\'', token)\n\n elif possible_types[0] == 'suffix 3':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)+'$', '', stem)\n for num in range(1,5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num]+'$', '', stem)\n stressed_word = re.sub('^('+stem_cutted+'([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*[уеыаоэяиюёУЕЫАОЭЯИЮЁ]){3})', '\\g<1>\\'', token)\n \n elif possible_types[0] == 'presuffix':\n stem = STree([token, lemma]).lcs()\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)+'$', '', stem)\n for num in range(1,5):\n if stem == stem_cutted:\n stem_cutted = re.sub(re.sub('-', '', biggest_suffix)[:-num]+'$', '', stem)\n suffixes = re.sub(stem_cutted, '', stem)\n stressed_word = re.sub('([уеыаоэяиюёУЕЫАОЭЯИЮЁ])([^уеыаоэяиюёУЕЫАОЭЯИЮЁ]*'+suffixes+'.{,5})$', '\\g<1>\\'\\g<2>', token)\n elif possible_types[0] == 'type B':\n stressed_word = re.sub('^(.+[уеыаоэяиюё])([^уеыаоэяиюё]*)$', '\\g<1>\\'\\g<2>', token)\n try:\n parts = stressed_word.split('\\'')\n stressed_word = original_token[:len(parts[0])]+'\\''+original_token[len(parts[0]):]\n except:\n stressed_word = original_token\n return(stressed_word)\n\n\ndef process_stresses(part_of_speech, rules, pos, lemma, token, original_token, word_possible_stress, current_file):\n stressed_word, biggest_suffix, possible_types = '', '', ['']\n if part_of_speech in pos:\n word_possible_stress = find_affixes(rules, lemma, word_possible_stress)\n\n if word_possible_stress != {} and list(word_possible_stress.keys()) != ['all prefixes', 'all suffixes'] and \\\n list(word_possible_stress.keys()) != ['all suffixes'] and list(word_possible_stress.keys()) != ['all prefixes']:\n\n biggest_prefix, biggest_suffix, word_possible_stress = find_biggest_affixes(word_possible_stress)\n possible_types = find_possible_types(word_possible_stress, biggest_suffix, biggest_prefix)\n if len(possible_types) == 1:\n stressed_word = make_stressed_word(possible_types, token, lemma, biggest_suffix, original_token)\n current_file = re.sub(original_token, stressed_word, current_file)\n## if pos == 'VERB':\n## print(pos, lemma, token, stressed_word, biggest_suffix, possible_types[0])\n if possible_types == []: possible_types = ['']\n return(current_file, stressed_word, biggest_suffix, possible_types[0])\n\n\ndef initialize(current_file):\n morph = pymorphy2.MorphAnalyzer()\n rules_noun = make_rules('NOUN')\n rules_adj = make_rules('ADJ')\n rules_verb = make_rules('VERB')\n all_tokens = nltk.word_tokenize(current_file)\n stressed_words, biggest_suffixes, stress_types, poses = [], [], [], []\n for token in all_tokens:\n stressed_word, biggest_suffix, stress_type = token, '', ''\n original_token = token\n token = token.lower()\n word_possible_stress = {}\n if re.search('^[А-ЯЁа-яё\\-]+$', token) != None and token != '-':\n token = re.sub('^-', '', token)\n pos = morph.parse(token)[0].tag.POS\n #pos = nltk.pos_tag(token, lang='rus')\n lemma = morph.parse(token)[0].normal_form\n if pos != None:\n current_file, stressed_word, biggest_suffix, stress_type = process_stresses('NOUN', rules_noun, pos, lemma, token, original_token, word_possible_stress, current_file)\n if biggest_suffix == '':\n current_file,stressed_word, biggest_suffix, stress_type = process_stresses('ADJF', rules_adj, pos, lemma, token, original_token, word_possible_stress, current_file)\n if biggest_suffix == '':\n current_file, stressed_word, biggest_suffix, stress_type = process_stresses('VERB', rules_verb, pos, lemma, token, original_token, word_possible_stress, current_file)\n if stressed_word == '':\n stressed_word = original_token\n stressed_words.append(stressed_word)\n biggest_suffixes.append(biggest_suffix)\n stress_types.append(stress_type)\n poses.append(pos)\n return(current_file, stressed_words, biggest_suffixes, stress_types, poses)\n",
"step-ids": [
4,
5,
7,
8,
9
]
}
|
[
4,
5,
7,
8,
9
] |
# The project is based on Tensorflow's Text Generation with RNN tutorial
# Copyright Petros Demetrakopoulos 2020
import tensorflow as tf
import numpy as np
import os
import time
# The project is based on Tensorflow's Text Generation with RNN tutorial
# Copyright Petros Demetrakopoulos 2020
import tensorflow as tf
import numpy as np
import os
import time
from random import seed
from random import randint
import sys
import urllib.request
stopChars = [',', '(', ')', '.', '-', '[', ']', '"']
corpus_path = "/tmp/data.txt"
text = open(corpus_path, 'rb').read().decode(encoding='utf-8')
text = preprocessText(text)
corpus_words = corpusToList(text)
map(str.strip, corpus_words) # trim words
vocab = sorted(set(corpus_words))
print('Corpus length (in words):', len(corpus_words))
print('Unique words in corpus: {}'.format(len(vocab)))
word2idx = {u: i for i, u in enumerate(vocab)}
idx2words = np.array(vocab)
word_as_int = np.array([word2idx[c] for c in corpus_words])
# The maximum length sentence we want for a single input in words
seqLength = 10
examples_per_epoch = len(corpus_words)//(seqLength + 1)
# Create training examples / targets
wordDataset = tf.data.Dataset.from_tensor_slices(word_as_int)
# generating batches of 10 words each
sequencesOfWords = wordDataset.batch(seqLength + 1, drop_remainder=True)
def yuh():
corpus_path = "/tmp/data.txt"
text = open(corpus_path, 'rb').read().decode(encoding='utf-8')
text = preprocessText(text)
corpus_words = corpusToList(text)
map(str.strip, corpus_words) # trim words
vocab = sorted(set(corpus_words))
print('Corpus length (in words):', len(corpus_words))
print('Unique words in corpus: {}'.format(len(vocab)))
word2idx = {u: i for i, u in enumerate(vocab)}
idx2words = np.array(vocab)
word_as_int = np.array([word2idx[c] for c in corpus_words])
# The maximum length sentence we want for a single input in words
seqLength = 10
examples_per_epoch = len(corpus_words)//(seqLength + 1)
# Create training examples / targets
wordDataset = tf.data.Dataset.from_tensor_slices(word_as_int)
# generating batches of 10 words each
sequencesOfWords = wordDataset.batch(seqLength + 1, drop_remainder=True)
def preprocessText(text):
text = text.replace('\n', ' ').replace('\t', '')
processedText = text.lower()
for char in stopChars:
processedText = processedText.replace(char, ' ')
return processedText
def corpusToList(corpus):
corpusList = [w for w in corpus.split(' ')]
# removing empty strings from list
corpusList = [i for i in corpusList if i]
return corpusList
def split_input_target(chunk):
input_text = chunk[:-1]
target_text = chunk[1:]
return input_text, target_text
def loss(labels, logits):
return tf.keras.losses.sparse_categorical_crossentropy(labels, logits, from_logits=True)
def generateLyrics(model, startString, temp):
# Number of words to generate
num_generate = 30
# Converting our start string to numbers (vectorizing)
start_string_list = [w for w in startString.split(' ')]
input_eval = [word2idx[s] for s in start_string_list]
input_eval = tf.expand_dims(input_eval, 0)
text_generated = []
model.reset_states()
for i in range(num_generate):
predictions = model(input_eval)
predictions = tf.squeeze(predictions, 0)
predictions = predictions / temp
predicted_id = tf.random.categorical(
predictions, num_samples=1)[-1, 0].numpy()
input_eval = tf.expand_dims([predicted_id], 0)
text_generated.append(' ' + idx2words[predicted_id])
return (startString + ''.join(text_generated))
def doSomeWork(artist):
url = '''https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.txt?alt=media&token=604b7b6c-2ef0-4611-ab6e-a08dd53e99be'''
urllib.request.urlretrieve(url, '/tmp/data.txt')
if artist == "kanye":
url = '''
https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkanye.h5?alt=media&token=a0b94c61-e696-453d-9a16-110af66f6afd'''
if artist == "nas":
url = '''
https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fnas.h5?alt=media&token=037ef224-be5f-4449-a89c-c1897e164289'''
if artist == "biggie":
url = '''https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fbiggie.h5?alt=media&token=3244a8e2-017c-472f-a66b-7810a198d038'''
if artist == "jayz":
url = '''https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fjayz.h5?alt=media&token=500ff44d-60fe-4774-9c85-5ea6f06da81b'''
if artist == "ross" or artist == "kendrick" or artist == "50cent":
url = '''
https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.h5?alt=media&token=6ceff75d-5a71-49d4-b927-e727888d872f
'''
named = "/tmp/" + artist + ".h5"
if (artist == "biggie") or artist == "50cent":
named = "/tmp/kendrick" + ".h5"
urllib.request.urlretrieve(url, named)
yuh()
model = tf.keras.models.load_model(named)
seed(1)
input_str = vocab[randint(0, len(vocab))]
lyricz = []
for i in range(10):
lyrics = generateLyrics(model, startString=input_str, temp=0.6)
temp = lyrics.replace("nigga", "homie").replace("niggas", "homies").replace("nigger", "homie").replace(
"niggers", "homies").replace("faggot", "maggot").replace("fag", "mag").replace('\r', '')
lyricz.append(lyrics.replace("nigga", "homie").replace('\r', ''))
input_str = temp.split()[-1]
return jsonify({
"Success": "It worked",
"Url": " ".join(lyricz)
})
|
normal
|
{
"blob_id": "5ff0c6bde8f3ffcb1f5988b0bbd1dfdd7fa2e818",
"index": 8800,
"step-1": "<mask token>\n\n\ndef yuh():\n corpus_path = '/tmp/data.txt'\n text = open(corpus_path, 'rb').read().decode(encoding='utf-8')\n text = preprocessText(text)\n corpus_words = corpusToList(text)\n map(str.strip, corpus_words)\n vocab = sorted(set(corpus_words))\n print('Corpus length (in words):', len(corpus_words))\n print('Unique words in corpus: {}'.format(len(vocab)))\n word2idx = {u: i for i, u in enumerate(vocab)}\n idx2words = np.array(vocab)\n word_as_int = np.array([word2idx[c] for c in corpus_words])\n seqLength = 10\n examples_per_epoch = len(corpus_words) // (seqLength + 1)\n wordDataset = tf.data.Dataset.from_tensor_slices(word_as_int)\n sequencesOfWords = wordDataset.batch(seqLength + 1, drop_remainder=True)\n\n\ndef preprocessText(text):\n text = text.replace('\\n', ' ').replace('\\t', '')\n processedText = text.lower()\n for char in stopChars:\n processedText = processedText.replace(char, ' ')\n return processedText\n\n\n<mask token>\n\n\ndef split_input_target(chunk):\n input_text = chunk[:-1]\n target_text = chunk[1:]\n return input_text, target_text\n\n\ndef loss(labels, logits):\n return tf.keras.losses.sparse_categorical_crossentropy(labels, logits,\n from_logits=True)\n\n\ndef generateLyrics(model, startString, temp):\n num_generate = 30\n start_string_list = [w for w in startString.split(' ')]\n input_eval = [word2idx[s] for s in start_string_list]\n input_eval = tf.expand_dims(input_eval, 0)\n text_generated = []\n model.reset_states()\n for i in range(num_generate):\n predictions = model(input_eval)\n predictions = tf.squeeze(predictions, 0)\n predictions = predictions / temp\n predicted_id = tf.random.categorical(predictions, num_samples=1)[-1, 0\n ].numpy()\n input_eval = tf.expand_dims([predicted_id], 0)\n text_generated.append(' ' + idx2words[predicted_id])\n return startString + ''.join(text_generated)\n\n\ndef doSomeWork(artist):\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.txt?alt=media&token=604b7b6c-2ef0-4611-ab6e-a08dd53e99be'\n )\n urllib.request.urlretrieve(url, '/tmp/data.txt')\n if artist == 'kanye':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkanye.h5?alt=media&token=a0b94c61-e696-453d-9a16-110af66f6afd\"\"\"\n if artist == 'nas':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fnas.h5?alt=media&token=037ef224-be5f-4449-a89c-c1897e164289\"\"\"\n if artist == 'biggie':\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fbiggie.h5?alt=media&token=3244a8e2-017c-472f-a66b-7810a198d038'\n )\n if artist == 'jayz':\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fjayz.h5?alt=media&token=500ff44d-60fe-4774-9c85-5ea6f06da81b'\n )\n if artist == 'ross' or artist == 'kendrick' or artist == '50cent':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.h5?alt=media&token=6ceff75d-5a71-49d4-b927-e727888d872f\n \"\"\"\n named = '/tmp/' + artist + '.h5'\n if artist == 'biggie' or artist == '50cent':\n named = '/tmp/kendrick' + '.h5'\n urllib.request.urlretrieve(url, named)\n yuh()\n model = tf.keras.models.load_model(named)\n seed(1)\n input_str = vocab[randint(0, len(vocab))]\n lyricz = []\n for i in range(10):\n lyrics = generateLyrics(model, startString=input_str, temp=0.6)\n temp = lyrics.replace('nigga', 'homie').replace('niggas', 'homies'\n ).replace('nigger', 'homie').replace('niggers', 'homies').replace(\n 'faggot', 'maggot').replace('fag', 'mag').replace('\\r', '')\n lyricz.append(lyrics.replace('nigga', 'homie').replace('\\r', ''))\n input_str = temp.split()[-1]\n return jsonify({'Success': 'It worked', 'Url': ' '.join(lyricz)})\n",
"step-2": "<mask token>\n\n\ndef yuh():\n corpus_path = '/tmp/data.txt'\n text = open(corpus_path, 'rb').read().decode(encoding='utf-8')\n text = preprocessText(text)\n corpus_words = corpusToList(text)\n map(str.strip, corpus_words)\n vocab = sorted(set(corpus_words))\n print('Corpus length (in words):', len(corpus_words))\n print('Unique words in corpus: {}'.format(len(vocab)))\n word2idx = {u: i for i, u in enumerate(vocab)}\n idx2words = np.array(vocab)\n word_as_int = np.array([word2idx[c] for c in corpus_words])\n seqLength = 10\n examples_per_epoch = len(corpus_words) // (seqLength + 1)\n wordDataset = tf.data.Dataset.from_tensor_slices(word_as_int)\n sequencesOfWords = wordDataset.batch(seqLength + 1, drop_remainder=True)\n\n\ndef preprocessText(text):\n text = text.replace('\\n', ' ').replace('\\t', '')\n processedText = text.lower()\n for char in stopChars:\n processedText = processedText.replace(char, ' ')\n return processedText\n\n\ndef corpusToList(corpus):\n corpusList = [w for w in corpus.split(' ')]\n corpusList = [i for i in corpusList if i]\n return corpusList\n\n\ndef split_input_target(chunk):\n input_text = chunk[:-1]\n target_text = chunk[1:]\n return input_text, target_text\n\n\ndef loss(labels, logits):\n return tf.keras.losses.sparse_categorical_crossentropy(labels, logits,\n from_logits=True)\n\n\ndef generateLyrics(model, startString, temp):\n num_generate = 30\n start_string_list = [w for w in startString.split(' ')]\n input_eval = [word2idx[s] for s in start_string_list]\n input_eval = tf.expand_dims(input_eval, 0)\n text_generated = []\n model.reset_states()\n for i in range(num_generate):\n predictions = model(input_eval)\n predictions = tf.squeeze(predictions, 0)\n predictions = predictions / temp\n predicted_id = tf.random.categorical(predictions, num_samples=1)[-1, 0\n ].numpy()\n input_eval = tf.expand_dims([predicted_id], 0)\n text_generated.append(' ' + idx2words[predicted_id])\n return startString + ''.join(text_generated)\n\n\ndef doSomeWork(artist):\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.txt?alt=media&token=604b7b6c-2ef0-4611-ab6e-a08dd53e99be'\n )\n urllib.request.urlretrieve(url, '/tmp/data.txt')\n if artist == 'kanye':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkanye.h5?alt=media&token=a0b94c61-e696-453d-9a16-110af66f6afd\"\"\"\n if artist == 'nas':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fnas.h5?alt=media&token=037ef224-be5f-4449-a89c-c1897e164289\"\"\"\n if artist == 'biggie':\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fbiggie.h5?alt=media&token=3244a8e2-017c-472f-a66b-7810a198d038'\n )\n if artist == 'jayz':\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fjayz.h5?alt=media&token=500ff44d-60fe-4774-9c85-5ea6f06da81b'\n )\n if artist == 'ross' or artist == 'kendrick' or artist == '50cent':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.h5?alt=media&token=6ceff75d-5a71-49d4-b927-e727888d872f\n \"\"\"\n named = '/tmp/' + artist + '.h5'\n if artist == 'biggie' or artist == '50cent':\n named = '/tmp/kendrick' + '.h5'\n urllib.request.urlretrieve(url, named)\n yuh()\n model = tf.keras.models.load_model(named)\n seed(1)\n input_str = vocab[randint(0, len(vocab))]\n lyricz = []\n for i in range(10):\n lyrics = generateLyrics(model, startString=input_str, temp=0.6)\n temp = lyrics.replace('nigga', 'homie').replace('niggas', 'homies'\n ).replace('nigger', 'homie').replace('niggers', 'homies').replace(\n 'faggot', 'maggot').replace('fag', 'mag').replace('\\r', '')\n lyricz.append(lyrics.replace('nigga', 'homie').replace('\\r', ''))\n input_str = temp.split()[-1]\n return jsonify({'Success': 'It worked', 'Url': ' '.join(lyricz)})\n",
"step-3": "<mask token>\nmap(str.strip, corpus_words)\n<mask token>\nprint('Corpus length (in words):', len(corpus_words))\nprint('Unique words in corpus: {}'.format(len(vocab)))\n<mask token>\n\n\ndef yuh():\n corpus_path = '/tmp/data.txt'\n text = open(corpus_path, 'rb').read().decode(encoding='utf-8')\n text = preprocessText(text)\n corpus_words = corpusToList(text)\n map(str.strip, corpus_words)\n vocab = sorted(set(corpus_words))\n print('Corpus length (in words):', len(corpus_words))\n print('Unique words in corpus: {}'.format(len(vocab)))\n word2idx = {u: i for i, u in enumerate(vocab)}\n idx2words = np.array(vocab)\n word_as_int = np.array([word2idx[c] for c in corpus_words])\n seqLength = 10\n examples_per_epoch = len(corpus_words) // (seqLength + 1)\n wordDataset = tf.data.Dataset.from_tensor_slices(word_as_int)\n sequencesOfWords = wordDataset.batch(seqLength + 1, drop_remainder=True)\n\n\ndef preprocessText(text):\n text = text.replace('\\n', ' ').replace('\\t', '')\n processedText = text.lower()\n for char in stopChars:\n processedText = processedText.replace(char, ' ')\n return processedText\n\n\ndef corpusToList(corpus):\n corpusList = [w for w in corpus.split(' ')]\n corpusList = [i for i in corpusList if i]\n return corpusList\n\n\ndef split_input_target(chunk):\n input_text = chunk[:-1]\n target_text = chunk[1:]\n return input_text, target_text\n\n\ndef loss(labels, logits):\n return tf.keras.losses.sparse_categorical_crossentropy(labels, logits,\n from_logits=True)\n\n\ndef generateLyrics(model, startString, temp):\n num_generate = 30\n start_string_list = [w for w in startString.split(' ')]\n input_eval = [word2idx[s] for s in start_string_list]\n input_eval = tf.expand_dims(input_eval, 0)\n text_generated = []\n model.reset_states()\n for i in range(num_generate):\n predictions = model(input_eval)\n predictions = tf.squeeze(predictions, 0)\n predictions = predictions / temp\n predicted_id = tf.random.categorical(predictions, num_samples=1)[-1, 0\n ].numpy()\n input_eval = tf.expand_dims([predicted_id], 0)\n text_generated.append(' ' + idx2words[predicted_id])\n return startString + ''.join(text_generated)\n\n\ndef doSomeWork(artist):\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.txt?alt=media&token=604b7b6c-2ef0-4611-ab6e-a08dd53e99be'\n )\n urllib.request.urlretrieve(url, '/tmp/data.txt')\n if artist == 'kanye':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkanye.h5?alt=media&token=a0b94c61-e696-453d-9a16-110af66f6afd\"\"\"\n if artist == 'nas':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fnas.h5?alt=media&token=037ef224-be5f-4449-a89c-c1897e164289\"\"\"\n if artist == 'biggie':\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fbiggie.h5?alt=media&token=3244a8e2-017c-472f-a66b-7810a198d038'\n )\n if artist == 'jayz':\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fjayz.h5?alt=media&token=500ff44d-60fe-4774-9c85-5ea6f06da81b'\n )\n if artist == 'ross' or artist == 'kendrick' or artist == '50cent':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.h5?alt=media&token=6ceff75d-5a71-49d4-b927-e727888d872f\n \"\"\"\n named = '/tmp/' + artist + '.h5'\n if artist == 'biggie' or artist == '50cent':\n named = '/tmp/kendrick' + '.h5'\n urllib.request.urlretrieve(url, named)\n yuh()\n model = tf.keras.models.load_model(named)\n seed(1)\n input_str = vocab[randint(0, len(vocab))]\n lyricz = []\n for i in range(10):\n lyrics = generateLyrics(model, startString=input_str, temp=0.6)\n temp = lyrics.replace('nigga', 'homie').replace('niggas', 'homies'\n ).replace('nigger', 'homie').replace('niggers', 'homies').replace(\n 'faggot', 'maggot').replace('fag', 'mag').replace('\\r', '')\n lyricz.append(lyrics.replace('nigga', 'homie').replace('\\r', ''))\n input_str = temp.split()[-1]\n return jsonify({'Success': 'It worked', 'Url': ' '.join(lyricz)})\n",
"step-4": "<mask token>\nstopChars = [',', '(', ')', '.', '-', '[', ']', '\"']\ncorpus_path = '/tmp/data.txt'\ntext = open(corpus_path, 'rb').read().decode(encoding='utf-8')\ntext = preprocessText(text)\ncorpus_words = corpusToList(text)\nmap(str.strip, corpus_words)\nvocab = sorted(set(corpus_words))\nprint('Corpus length (in words):', len(corpus_words))\nprint('Unique words in corpus: {}'.format(len(vocab)))\nword2idx = {u: i for i, u in enumerate(vocab)}\nidx2words = np.array(vocab)\nword_as_int = np.array([word2idx[c] for c in corpus_words])\nseqLength = 10\nexamples_per_epoch = len(corpus_words) // (seqLength + 1)\nwordDataset = tf.data.Dataset.from_tensor_slices(word_as_int)\nsequencesOfWords = wordDataset.batch(seqLength + 1, drop_remainder=True)\n\n\ndef yuh():\n corpus_path = '/tmp/data.txt'\n text = open(corpus_path, 'rb').read().decode(encoding='utf-8')\n text = preprocessText(text)\n corpus_words = corpusToList(text)\n map(str.strip, corpus_words)\n vocab = sorted(set(corpus_words))\n print('Corpus length (in words):', len(corpus_words))\n print('Unique words in corpus: {}'.format(len(vocab)))\n word2idx = {u: i for i, u in enumerate(vocab)}\n idx2words = np.array(vocab)\n word_as_int = np.array([word2idx[c] for c in corpus_words])\n seqLength = 10\n examples_per_epoch = len(corpus_words) // (seqLength + 1)\n wordDataset = tf.data.Dataset.from_tensor_slices(word_as_int)\n sequencesOfWords = wordDataset.batch(seqLength + 1, drop_remainder=True)\n\n\ndef preprocessText(text):\n text = text.replace('\\n', ' ').replace('\\t', '')\n processedText = text.lower()\n for char in stopChars:\n processedText = processedText.replace(char, ' ')\n return processedText\n\n\ndef corpusToList(corpus):\n corpusList = [w for w in corpus.split(' ')]\n corpusList = [i for i in corpusList if i]\n return corpusList\n\n\ndef split_input_target(chunk):\n input_text = chunk[:-1]\n target_text = chunk[1:]\n return input_text, target_text\n\n\ndef loss(labels, logits):\n return tf.keras.losses.sparse_categorical_crossentropy(labels, logits,\n from_logits=True)\n\n\ndef generateLyrics(model, startString, temp):\n num_generate = 30\n start_string_list = [w for w in startString.split(' ')]\n input_eval = [word2idx[s] for s in start_string_list]\n input_eval = tf.expand_dims(input_eval, 0)\n text_generated = []\n model.reset_states()\n for i in range(num_generate):\n predictions = model(input_eval)\n predictions = tf.squeeze(predictions, 0)\n predictions = predictions / temp\n predicted_id = tf.random.categorical(predictions, num_samples=1)[-1, 0\n ].numpy()\n input_eval = tf.expand_dims([predicted_id], 0)\n text_generated.append(' ' + idx2words[predicted_id])\n return startString + ''.join(text_generated)\n\n\ndef doSomeWork(artist):\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.txt?alt=media&token=604b7b6c-2ef0-4611-ab6e-a08dd53e99be'\n )\n urllib.request.urlretrieve(url, '/tmp/data.txt')\n if artist == 'kanye':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkanye.h5?alt=media&token=a0b94c61-e696-453d-9a16-110af66f6afd\"\"\"\n if artist == 'nas':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fnas.h5?alt=media&token=037ef224-be5f-4449-a89c-c1897e164289\"\"\"\n if artist == 'biggie':\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fbiggie.h5?alt=media&token=3244a8e2-017c-472f-a66b-7810a198d038'\n )\n if artist == 'jayz':\n url = (\n 'https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fjayz.h5?alt=media&token=500ff44d-60fe-4774-9c85-5ea6f06da81b'\n )\n if artist == 'ross' or artist == 'kendrick' or artist == '50cent':\n url = \"\"\"\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.h5?alt=media&token=6ceff75d-5a71-49d4-b927-e727888d872f\n \"\"\"\n named = '/tmp/' + artist + '.h5'\n if artist == 'biggie' or artist == '50cent':\n named = '/tmp/kendrick' + '.h5'\n urllib.request.urlretrieve(url, named)\n yuh()\n model = tf.keras.models.load_model(named)\n seed(1)\n input_str = vocab[randint(0, len(vocab))]\n lyricz = []\n for i in range(10):\n lyrics = generateLyrics(model, startString=input_str, temp=0.6)\n temp = lyrics.replace('nigga', 'homie').replace('niggas', 'homies'\n ).replace('nigger', 'homie').replace('niggers', 'homies').replace(\n 'faggot', 'maggot').replace('fag', 'mag').replace('\\r', '')\n lyricz.append(lyrics.replace('nigga', 'homie').replace('\\r', ''))\n input_str = temp.split()[-1]\n return jsonify({'Success': 'It worked', 'Url': ' '.join(lyricz)})\n",
"step-5": "# The project is based on Tensorflow's Text Generation with RNN tutorial\n# Copyright Petros Demetrakopoulos 2020\nimport tensorflow as tf\nimport numpy as np\nimport os\nimport time\n# The project is based on Tensorflow's Text Generation with RNN tutorial\n# Copyright Petros Demetrakopoulos 2020\nimport tensorflow as tf\nimport numpy as np\nimport os\nimport time\nfrom random import seed\nfrom random import randint\nimport sys\nimport urllib.request\n\nstopChars = [',', '(', ')', '.', '-', '[', ']', '\"']\n\n\ncorpus_path = \"/tmp/data.txt\"\ntext = open(corpus_path, 'rb').read().decode(encoding='utf-8')\ntext = preprocessText(text)\ncorpus_words = corpusToList(text)\nmap(str.strip, corpus_words) # trim words\n\nvocab = sorted(set(corpus_words))\nprint('Corpus length (in words):', len(corpus_words))\nprint('Unique words in corpus: {}'.format(len(vocab)))\n\n\nword2idx = {u: i for i, u in enumerate(vocab)}\nidx2words = np.array(vocab)\nword_as_int = np.array([word2idx[c] for c in corpus_words])\n# The maximum length sentence we want for a single input in words\nseqLength = 10\nexamples_per_epoch = len(corpus_words)//(seqLength + 1)\n\n# Create training examples / targets\nwordDataset = tf.data.Dataset.from_tensor_slices(word_as_int)\n\n# generating batches of 10 words each\nsequencesOfWords = wordDataset.batch(seqLength + 1, drop_remainder=True)\n\ndef yuh(): \n corpus_path = \"/tmp/data.txt\"\n text = open(corpus_path, 'rb').read().decode(encoding='utf-8')\n text = preprocessText(text)\n corpus_words = corpusToList(text)\n map(str.strip, corpus_words) # trim words\n\n vocab = sorted(set(corpus_words))\n print('Corpus length (in words):', len(corpus_words))\n print('Unique words in corpus: {}'.format(len(vocab)))\n\n\n word2idx = {u: i for i, u in enumerate(vocab)}\n idx2words = np.array(vocab)\n word_as_int = np.array([word2idx[c] for c in corpus_words])\n # The maximum length sentence we want for a single input in words\n seqLength = 10\n examples_per_epoch = len(corpus_words)//(seqLength + 1)\n\n# Create training examples / targets\n wordDataset = tf.data.Dataset.from_tensor_slices(word_as_int)\n\n# generating batches of 10 words each\n sequencesOfWords = wordDataset.batch(seqLength + 1, drop_remainder=True)\n\ndef preprocessText(text):\n text = text.replace('\\n', ' ').replace('\\t', '')\n processedText = text.lower()\n for char in stopChars:\n processedText = processedText.replace(char, ' ')\n return processedText\n\n\ndef corpusToList(corpus):\n corpusList = [w for w in corpus.split(' ')]\n # removing empty strings from list\n corpusList = [i for i in corpusList if i]\n return corpusList\n\ndef split_input_target(chunk):\n input_text = chunk[:-1]\n target_text = chunk[1:]\n return input_text, target_text\n\n\ndef loss(labels, logits):\n return tf.keras.losses.sparse_categorical_crossentropy(labels, logits, from_logits=True)\n\n\ndef generateLyrics(model, startString, temp):\n # Number of words to generate\n num_generate = 30\n\n # Converting our start string to numbers (vectorizing)\n start_string_list = [w for w in startString.split(' ')]\n input_eval = [word2idx[s] for s in start_string_list]\n input_eval = tf.expand_dims(input_eval, 0)\n\n text_generated = []\n\n model.reset_states()\n for i in range(num_generate):\n predictions = model(input_eval)\n predictions = tf.squeeze(predictions, 0)\n\n predictions = predictions / temp\n predicted_id = tf.random.categorical(\n predictions, num_samples=1)[-1, 0].numpy()\n\n input_eval = tf.expand_dims([predicted_id], 0)\n text_generated.append(' ' + idx2words[predicted_id])\n\n return (startString + ''.join(text_generated))\n\n\ndef doSomeWork(artist):\n url = '''https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.txt?alt=media&token=604b7b6c-2ef0-4611-ab6e-a08dd53e99be'''\n urllib.request.urlretrieve(url, '/tmp/data.txt')\n\n if artist == \"kanye\": \n url = '''\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkanye.h5?alt=media&token=a0b94c61-e696-453d-9a16-110af66f6afd'''\n if artist == \"nas\": \n url = '''\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fnas.h5?alt=media&token=037ef224-be5f-4449-a89c-c1897e164289'''\n if artist == \"biggie\": \n url = '''https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fbiggie.h5?alt=media&token=3244a8e2-017c-472f-a66b-7810a198d038'''\n if artist == \"jayz\": \n url = '''https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fjayz.h5?alt=media&token=500ff44d-60fe-4774-9c85-5ea6f06da81b'''\n if artist == \"ross\" or artist == \"kendrick\" or artist == \"50cent\": \n url = '''\n https://firebasestorage.googleapis.com/v0/b/shellhacks-327117.appspot.com/o/models%2Fkendrick.h5?alt=media&token=6ceff75d-5a71-49d4-b927-e727888d872f\n '''\n \n\n named = \"/tmp/\" + artist + \".h5\"\n if (artist == \"biggie\") or artist == \"50cent\":\n named = \"/tmp/kendrick\" + \".h5\"\n\n urllib.request.urlretrieve(url, named)\n\n\n\n\n yuh()\n \n\n model = tf.keras.models.load_model(named)\n\n seed(1)\n input_str = vocab[randint(0, len(vocab))]\n lyricz = []\n\n for i in range(10):\n lyrics = generateLyrics(model, startString=input_str, temp=0.6)\n temp = lyrics.replace(\"nigga\", \"homie\").replace(\"niggas\", \"homies\").replace(\"nigger\", \"homie\").replace(\n \"niggers\", \"homies\").replace(\"faggot\", \"maggot\").replace(\"fag\", \"mag\").replace('\\r', '')\n lyricz.append(lyrics.replace(\"nigga\", \"homie\").replace('\\r', ''))\n input_str = temp.split()[-1]\n\n return jsonify({\n \"Success\": \"It worked\",\n \"Url\": \" \".join(lyricz)\n })\n",
"step-ids": [
6,
7,
8,
9,
11
]
}
|
[
6,
7,
8,
9,
11
] |
class CustomPrinter(object):
def __init__(self, val):
self.val = val
def to_string(self):
res = "{"
for m in xrange(64):
res += hex(int(self.val[m]))
if m != 63:
res += ", "
res += " }"
return res
def lookup_type(val):
if str(val.type) == 'unsigned char [64]':
return CustomPrinter(val)
return None
gdb.pretty_printers.append(lookup_type)
|
normal
|
{
"blob_id": "4d5b2ed016cfc6740c3ee5397c894fabc1bec73f",
"index": 6963,
"step-1": "class CustomPrinter(object):\n <mask token>\n\n def to_string(self):\n res = '{'\n for m in xrange(64):\n res += hex(int(self.val[m]))\n if m != 63:\n res += ', '\n res += ' }'\n return res\n\n\n<mask token>\n",
"step-2": "class CustomPrinter(object):\n\n def __init__(self, val):\n self.val = val\n\n def to_string(self):\n res = '{'\n for m in xrange(64):\n res += hex(int(self.val[m]))\n if m != 63:\n res += ', '\n res += ' }'\n return res\n\n\n<mask token>\n",
"step-3": "class CustomPrinter(object):\n\n def __init__(self, val):\n self.val = val\n\n def to_string(self):\n res = '{'\n for m in xrange(64):\n res += hex(int(self.val[m]))\n if m != 63:\n res += ', '\n res += ' }'\n return res\n\n\ndef lookup_type(val):\n if str(val.type) == 'unsigned char [64]':\n return CustomPrinter(val)\n return None\n\n\n<mask token>\n",
"step-4": "class CustomPrinter(object):\n\n def __init__(self, val):\n self.val = val\n\n def to_string(self):\n res = '{'\n for m in xrange(64):\n res += hex(int(self.val[m]))\n if m != 63:\n res += ', '\n res += ' }'\n return res\n\n\ndef lookup_type(val):\n if str(val.type) == 'unsigned char [64]':\n return CustomPrinter(val)\n return None\n\n\ngdb.pretty_printers.append(lookup_type)\n",
"step-5": "class CustomPrinter(object):\n def __init__(self, val):\n self.val = val\n\n def to_string(self):\n res = \"{\"\n for m in xrange(64):\n res += hex(int(self.val[m]))\n if m != 63:\n res += \", \"\n res += \" }\"\n return res\n\n\ndef lookup_type(val):\n if str(val.type) == 'unsigned char [64]':\n return CustomPrinter(val)\n return None\n\n\ngdb.pretty_printers.append(lookup_type)\n",
"step-ids": [
2,
3,
4,
5,
6
]
}
|
[
2,
3,
4,
5,
6
] |
# -*- coding:utf-8 -*-
"""
逆波兰表达式，中缀表达式可以对应一棵二叉树，逆波兰表达式即该二叉树后续遍历的结果。
"""
def isOperator(c):
return c == '+' or c == '-' or c == '*' or c == '/'
def reversePolishNotation(p):
stack = list()
for cur in p:
if not isOperator(cur):
stack.append(cur)
else:
b = float(stack.pop())
a = float(stack.pop())
if cur == '+':
stack.append(a + b)
elif cur == '-':
stack.append(a - b)
elif cur == '*':
stack.append(a * b)
elif cur == '/':
stack.append(a / b)
return stack[-1]
if __name__ == '__main__':
p = ['2', '1', '+', '3', '*']
print reversePolishNotation(p)
|
normal
|
{
"blob_id": "93a47d6ba1f699d881f0d22c4775433e4a451890",
"index": 6168,
"step-1": "# -*- coding:utf-8 -*-\n\n\"\"\"\n逆波兰表达式，中缀表达式可以对应一棵二叉树，逆波兰表达式即该二叉树后续遍历的结果。\n\"\"\"\n\ndef isOperator(c):\n return c == '+' or c == '-' or c == '*' or c == '/'\n\n\ndef reversePolishNotation(p):\n stack = list()\n for cur in p:\n if not isOperator(cur):\n stack.append(cur)\n else:\n b = float(stack.pop())\n a = float(stack.pop())\n if cur == '+':\n stack.append(a + b)\n elif cur == '-':\n stack.append(a - b)\n elif cur == '*':\n stack.append(a * b)\n elif cur == '/':\n stack.append(a / b)\n return stack[-1]\n\n\nif __name__ == '__main__':\n p = ['2', '1', '+', '3', '*']\n print reversePolishNotation(p)",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
}
|
[
0
] |
<|reserved_special_token_0|>
class Cuneiform(pp.unicode_set):
<|reserved_special_token_0|>
_ranges: List[Tuple[int, ...]] = [(66432, 66517), (73728, 74751), (
74752, 74879)]
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Cuneiform(pp.unicode_set):
"""Unicode set for Cuneiform Character Range"""
_ranges: List[Tuple[int, ...]] = [(66432, 66517), (73728, 74751), (
74752, 74879)]
<|reserved_special_token_0|>
rvalue <<= fn_call | ident | str_expr | pp.common.number
<|reserved_special_token_0|>
script.parseString(cuneiform_hello_world).pprint(width=40)
<|reserved_special_token_0|>
ident.add_parse_action(lambda t: names_map.get(t[0], t[0]))
def_.add_parse_action(lambda : 'def')
print("""
convert Cuneiform Python to executable Python""")
<|reserved_special_token_0|>
print('=================\n' + cuneiform_hello_world.strip() +
"""
=================
""" + transformed + """
=================
""")
print('# run transformed Python')
exec(transformed)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class Cuneiform(pp.unicode_set):
"""Unicode set for Cuneiform Character Range"""
_ranges: List[Tuple[int, ...]] = [(66432, 66517), (73728, 74751), (
74752, 74879)]
<|reserved_special_token_0|>
LPAR, RPAR, COLON, EQ = map(pp.Suppress, '():=')
def_ = pp.Keyword('𒁴𒈫', ident_chars=Cuneiform.identbodychars).set_name('def')
any_keyword = def_
ident = ~any_keyword + pp.Word(Cuneiform.identchars, Cuneiform.
identbodychars, asKeyword=True)
str_expr = pp.infix_notation(pp.QuotedString('"') | pp.common.integer, [(
'*', 2, pp.OpAssoc.LEFT), ('+', 2, pp.OpAssoc.LEFT)])
rvalue = pp.Forward()
fn_call = (ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR)).set_name(
'fn_call')
rvalue <<= fn_call | ident | str_expr | pp.common.number
assignment_stmt = ident + EQ + rvalue
stmt = pp.Group(fn_call | assignment_stmt).set_name('stmt')
fn_def = pp.Group(def_ + ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR
) + COLON).set_name('fn_def')
fn_body = pp.IndentedBlock(stmt).set_name('fn_body')
fn_expr = pp.Group(fn_def + pp.Group(fn_body))
script = fn_expr[...] + stmt[...]
cuneiform_hello_world = """
𒁴𒈫 𒀄𒂖𒆷𒁎():
𒀁 = "𒀄𒂖𒆷𒁎, 𒍟𒁎𒉿𒆷𒀳!\\n" * 3
𒄑𒉿𒅔𒋫(𒀁)
𒀄𒂖𒆷𒁎()"""
script.parseString(cuneiform_hello_world).pprint(width=40)
names_map = {'𒄑𒉿𒅔𒋫': 'print'}
ident.add_parse_action(lambda t: names_map.get(t[0], t[0]))
def_.add_parse_action(lambda : 'def')
print("""
convert Cuneiform Python to executable Python""")
transformed = (def_ | ident).ignore(pp.quoted_string).transform_string(
cuneiform_hello_world).strip()
print('=================\n' + cuneiform_hello_world.strip() +
"""
=================
""" + transformed + """
=================
""")
print('# run transformed Python')
exec(transformed)
<|reserved_special_token_1|>
from typing import List, Tuple
import pyparsing as pp
class Cuneiform(pp.unicode_set):
"""Unicode set for Cuneiform Character Range"""
_ranges: List[Tuple[int, ...]] = [(66432, 66517), (73728, 74751), (
74752, 74879)]
<|reserved_special_token_0|>
LPAR, RPAR, COLON, EQ = map(pp.Suppress, '():=')
def_ = pp.Keyword('𒁴𒈫', ident_chars=Cuneiform.identbodychars).set_name('def')
any_keyword = def_
ident = ~any_keyword + pp.Word(Cuneiform.identchars, Cuneiform.
identbodychars, asKeyword=True)
str_expr = pp.infix_notation(pp.QuotedString('"') | pp.common.integer, [(
'*', 2, pp.OpAssoc.LEFT), ('+', 2, pp.OpAssoc.LEFT)])
rvalue = pp.Forward()
fn_call = (ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR)).set_name(
'fn_call')
rvalue <<= fn_call | ident | str_expr | pp.common.number
assignment_stmt = ident + EQ + rvalue
stmt = pp.Group(fn_call | assignment_stmt).set_name('stmt')
fn_def = pp.Group(def_ + ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR
) + COLON).set_name('fn_def')
fn_body = pp.IndentedBlock(stmt).set_name('fn_body')
fn_expr = pp.Group(fn_def + pp.Group(fn_body))
script = fn_expr[...] + stmt[...]
cuneiform_hello_world = """
𒁴𒈫 𒀄𒂖𒆷𒁎():
𒀁 = "𒀄𒂖𒆷𒁎, 𒍟𒁎𒉿𒆷𒀳!\\n" * 3
𒄑𒉿𒅔𒋫(𒀁)
𒀄𒂖𒆷𒁎()"""
script.parseString(cuneiform_hello_world).pprint(width=40)
names_map = {'𒄑𒉿𒅔𒋫': 'print'}
ident.add_parse_action(lambda t: names_map.get(t[0], t[0]))
def_.add_parse_action(lambda : 'def')
print("""
convert Cuneiform Python to executable Python""")
transformed = (def_ | ident).ignore(pp.quoted_string).transform_string(
cuneiform_hello_world).strip()
print('=================\n' + cuneiform_hello_world.strip() +
"""
=================
""" + transformed + """
=================
""")
print('# run transformed Python')
exec(transformed)
<|reserved_special_token_1|>
#
# cuneiform_python.py
#
# Example showing how to create a custom Unicode set for parsing
#
# Copyright Paul McGuire, 2021
#
from typing import List, Tuple
import pyparsing as pp
class Cuneiform(pp.unicode_set):
"""Unicode set for Cuneiform Character Range"""
_ranges: List[Tuple[int, ...]] = [
(0x10380, 0x103d5),
(0x12000, 0x123FF),
(0x12400, 0x1247F),
]
# list out all valid identifier characters
# print(Cuneiform.identchars)
"""
Simple Cuneiform Python language transformer
Define Cuneiform "words"
print: 𒄑𒉿𒅔𒋫
hello: 𒀄𒂖𒆷𒁎
world: 𒍟𒁎𒉿𒆷𒀳
def: 𒁴𒈫
"""
# uncomment to show parse-time debugging
# pp.enable_diag(pp.Diagnostics.enable_debug_on_named_expressions)
# define a MINIMAL Python parser
LPAR, RPAR, COLON, EQ = map(pp.Suppress, "():=")
def_ = pp.Keyword("𒁴𒈫", ident_chars=Cuneiform.identbodychars).set_name("def")
any_keyword = def_
ident = (~any_keyword) + pp.Word(
Cuneiform.identchars, Cuneiform.identbodychars, asKeyword=True
)
str_expr = pp.infix_notation(
pp.QuotedString('"') | pp.common.integer,
[
("*", 2, pp.OpAssoc.LEFT),
("+", 2, pp.OpAssoc.LEFT),
],
)
rvalue = pp.Forward()
fn_call = (ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR)).set_name("fn_call")
rvalue <<= fn_call | ident | str_expr | pp.common.number
assignment_stmt = ident + EQ + rvalue
stmt = pp.Group(fn_call | assignment_stmt).set_name("stmt")
fn_def = pp.Group(
def_ + ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR) + COLON
).set_name("fn_def")
fn_body = pp.IndentedBlock(stmt).set_name("fn_body")
fn_expr = pp.Group(fn_def + pp.Group(fn_body))
script = fn_expr[...] + stmt[...]
# parse some Python written in Cuneiform
cuneiform_hello_world = r"""
𒁴𒈫 𒀄𒂖𒆷𒁎():
𒀁 = "𒀄𒂖𒆷𒁎, 𒍟𒁎𒉿𒆷𒀳!\n" * 3
𒄑𒉿𒅔𒋫(𒀁)
𒀄𒂖𒆷𒁎()"""
script.parseString(cuneiform_hello_world).pprint(width=40)
# use transform_string to convert keywords and builtins to runnable Python
names_map = {
"𒄑𒉿𒅔𒋫": "print",
}
ident.add_parse_action(lambda t: names_map.get(t[0], t[0]))
def_.add_parse_action(lambda: "def")
print("\nconvert Cuneiform Python to executable Python")
transformed = (
# always put ident last
(def_ | ident)
.ignore(pp.quoted_string)
.transform_string(cuneiform_hello_world)
.strip()
)
print(
"=================\n"
+ cuneiform_hello_world.strip()
+ "\n=================\n"
+ transformed
+ "\n=================\n"
)
print("# run transformed Python")
exec(transformed)
|
flexible
|
{
"blob_id": "bc1aefd0b0a87b80a10cecf00407b4608a6902b5",
"index": 3897,
"step-1": "<mask token>\n\n\nclass Cuneiform(pp.unicode_set):\n <mask token>\n _ranges: List[Tuple[int, ...]] = [(66432, 66517), (73728, 74751), (\n 74752, 74879)]\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Cuneiform(pp.unicode_set):\n \"\"\"Unicode set for Cuneiform Character Range\"\"\"\n _ranges: List[Tuple[int, ...]] = [(66432, 66517), (73728, 74751), (\n 74752, 74879)]\n\n\n<mask token>\nrvalue <<= fn_call | ident | str_expr | pp.common.number\n<mask token>\nscript.parseString(cuneiform_hello_world).pprint(width=40)\n<mask token>\nident.add_parse_action(lambda t: names_map.get(t[0], t[0]))\ndef_.add_parse_action(lambda : 'def')\nprint(\"\"\"\nconvert Cuneiform Python to executable Python\"\"\")\n<mask token>\nprint('=================\\n' + cuneiform_hello_world.strip() +\n \"\"\"\n=================\n\"\"\" + transformed + \"\"\"\n=================\n\"\"\")\nprint('# run transformed Python')\nexec(transformed)\n",
"step-3": "<mask token>\n\n\nclass Cuneiform(pp.unicode_set):\n \"\"\"Unicode set for Cuneiform Character Range\"\"\"\n _ranges: List[Tuple[int, ...]] = [(66432, 66517), (73728, 74751), (\n 74752, 74879)]\n\n\n<mask token>\nLPAR, RPAR, COLON, EQ = map(pp.Suppress, '():=')\ndef_ = pp.Keyword('𒁴𒈫', ident_chars=Cuneiform.identbodychars).set_name('def')\nany_keyword = def_\nident = ~any_keyword + pp.Word(Cuneiform.identchars, Cuneiform.\n identbodychars, asKeyword=True)\nstr_expr = pp.infix_notation(pp.QuotedString('\"') | pp.common.integer, [(\n '*', 2, pp.OpAssoc.LEFT), ('+', 2, pp.OpAssoc.LEFT)])\nrvalue = pp.Forward()\nfn_call = (ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR)).set_name(\n 'fn_call')\nrvalue <<= fn_call | ident | str_expr | pp.common.number\nassignment_stmt = ident + EQ + rvalue\nstmt = pp.Group(fn_call | assignment_stmt).set_name('stmt')\nfn_def = pp.Group(def_ + ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR\n ) + COLON).set_name('fn_def')\nfn_body = pp.IndentedBlock(stmt).set_name('fn_body')\nfn_expr = pp.Group(fn_def + pp.Group(fn_body))\nscript = fn_expr[...] + stmt[...]\ncuneiform_hello_world = \"\"\"\n𒁴𒈫 𒀄𒂖𒆷𒁎():\n 𒀁 = \"𒀄𒂖𒆷𒁎, 𒍟𒁎𒉿𒆷𒀳!\\\\n\" * 3\n 𒄑𒉿𒅔𒋫(𒀁)\n\n𒀄𒂖𒆷𒁎()\"\"\"\nscript.parseString(cuneiform_hello_world).pprint(width=40)\nnames_map = {'𒄑𒉿𒅔𒋫': 'print'}\nident.add_parse_action(lambda t: names_map.get(t[0], t[0]))\ndef_.add_parse_action(lambda : 'def')\nprint(\"\"\"\nconvert Cuneiform Python to executable Python\"\"\")\ntransformed = (def_ | ident).ignore(pp.quoted_string).transform_string(\n cuneiform_hello_world).strip()\nprint('=================\\n' + cuneiform_hello_world.strip() +\n \"\"\"\n=================\n\"\"\" + transformed + \"\"\"\n=================\n\"\"\")\nprint('# run transformed Python')\nexec(transformed)\n",
"step-4": "from typing import List, Tuple\nimport pyparsing as pp\n\n\nclass Cuneiform(pp.unicode_set):\n \"\"\"Unicode set for Cuneiform Character Range\"\"\"\n _ranges: List[Tuple[int, ...]] = [(66432, 66517), (73728, 74751), (\n 74752, 74879)]\n\n\n<mask token>\nLPAR, RPAR, COLON, EQ = map(pp.Suppress, '():=')\ndef_ = pp.Keyword('𒁴𒈫', ident_chars=Cuneiform.identbodychars).set_name('def')\nany_keyword = def_\nident = ~any_keyword + pp.Word(Cuneiform.identchars, Cuneiform.\n identbodychars, asKeyword=True)\nstr_expr = pp.infix_notation(pp.QuotedString('\"') | pp.common.integer, [(\n '*', 2, pp.OpAssoc.LEFT), ('+', 2, pp.OpAssoc.LEFT)])\nrvalue = pp.Forward()\nfn_call = (ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR)).set_name(\n 'fn_call')\nrvalue <<= fn_call | ident | str_expr | pp.common.number\nassignment_stmt = ident + EQ + rvalue\nstmt = pp.Group(fn_call | assignment_stmt).set_name('stmt')\nfn_def = pp.Group(def_ + ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR\n ) + COLON).set_name('fn_def')\nfn_body = pp.IndentedBlock(stmt).set_name('fn_body')\nfn_expr = pp.Group(fn_def + pp.Group(fn_body))\nscript = fn_expr[...] + stmt[...]\ncuneiform_hello_world = \"\"\"\n𒁴𒈫 𒀄𒂖𒆷𒁎():\n 𒀁 = \"𒀄𒂖𒆷𒁎, 𒍟𒁎𒉿𒆷𒀳!\\\\n\" * 3\n 𒄑𒉿𒅔𒋫(𒀁)\n\n𒀄𒂖𒆷𒁎()\"\"\"\nscript.parseString(cuneiform_hello_world).pprint(width=40)\nnames_map = {'𒄑𒉿𒅔𒋫': 'print'}\nident.add_parse_action(lambda t: names_map.get(t[0], t[0]))\ndef_.add_parse_action(lambda : 'def')\nprint(\"\"\"\nconvert Cuneiform Python to executable Python\"\"\")\ntransformed = (def_ | ident).ignore(pp.quoted_string).transform_string(\n cuneiform_hello_world).strip()\nprint('=================\\n' + cuneiform_hello_world.strip() +\n \"\"\"\n=================\n\"\"\" + transformed + \"\"\"\n=================\n\"\"\")\nprint('# run transformed Python')\nexec(transformed)\n",
"step-5": "#\n# cuneiform_python.py\n#\n# Example showing how to create a custom Unicode set for parsing\n#\n# Copyright Paul McGuire, 2021\n#\nfrom typing import List, Tuple\nimport pyparsing as pp\n\n\nclass Cuneiform(pp.unicode_set):\n \"\"\"Unicode set for Cuneiform Character Range\"\"\"\n\n _ranges: List[Tuple[int, ...]] = [\n (0x10380, 0x103d5),\n (0x12000, 0x123FF),\n (0x12400, 0x1247F),\n ]\n\n\n# list out all valid identifier characters\n# print(Cuneiform.identchars)\n\n\n\"\"\"\nSimple Cuneiform Python language transformer\n\nDefine Cuneiform \"words\"\n print: 𒄑𒉿𒅔𒋫\n hello: 𒀄𒂖𒆷𒁎\n world: 𒍟𒁎𒉿𒆷𒀳\n def: 𒁴𒈫\n\"\"\"\n\n# uncomment to show parse-time debugging\n# pp.enable_diag(pp.Diagnostics.enable_debug_on_named_expressions)\n\n# define a MINIMAL Python parser\nLPAR, RPAR, COLON, EQ = map(pp.Suppress, \"():=\")\ndef_ = pp.Keyword(\"𒁴𒈫\", ident_chars=Cuneiform.identbodychars).set_name(\"def\")\nany_keyword = def_\nident = (~any_keyword) + pp.Word(\n Cuneiform.identchars, Cuneiform.identbodychars, asKeyword=True\n)\nstr_expr = pp.infix_notation(\n pp.QuotedString('\"') | pp.common.integer,\n [\n (\"*\", 2, pp.OpAssoc.LEFT),\n (\"+\", 2, pp.OpAssoc.LEFT),\n ],\n)\n\nrvalue = pp.Forward()\nfn_call = (ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR)).set_name(\"fn_call\")\n\nrvalue <<= fn_call | ident | str_expr | pp.common.number\nassignment_stmt = ident + EQ + rvalue\n\nstmt = pp.Group(fn_call | assignment_stmt).set_name(\"stmt\")\n\nfn_def = pp.Group(\n def_ + ident + pp.Group(LPAR + pp.Optional(rvalue) + RPAR) + COLON\n).set_name(\"fn_def\")\nfn_body = pp.IndentedBlock(stmt).set_name(\"fn_body\")\nfn_expr = pp.Group(fn_def + pp.Group(fn_body))\n\nscript = fn_expr[...] + stmt[...]\n\n\n# parse some Python written in Cuneiform\ncuneiform_hello_world = r\"\"\"\n𒁴𒈫 𒀄𒂖𒆷𒁎():\n 𒀁 = \"𒀄𒂖𒆷𒁎, 𒍟𒁎𒉿𒆷𒀳!\\n\" * 3\n 𒄑𒉿𒅔𒋫(𒀁)\n\n𒀄𒂖𒆷𒁎()\"\"\"\nscript.parseString(cuneiform_hello_world).pprint(width=40)\n\n\n# use transform_string to convert keywords and builtins to runnable Python\nnames_map = {\n \"𒄑𒉿𒅔𒋫\": \"print\",\n}\nident.add_parse_action(lambda t: names_map.get(t[0], t[0]))\ndef_.add_parse_action(lambda: \"def\")\n\nprint(\"\\nconvert Cuneiform Python to executable Python\")\ntransformed = (\n # always put ident last\n (def_ | ident)\n .ignore(pp.quoted_string)\n .transform_string(cuneiform_hello_world)\n .strip()\n)\nprint(\n \"=================\\n\"\n + cuneiform_hello_world.strip()\n + \"\\n=================\\n\"\n + transformed\n + \"\\n=================\\n\"\n)\nprint(\"# run transformed Python\")\nexec(transformed)\n",
"step-ids": [
1,
3,
4,
5,
6
]
}
|
[
1,
3,
4,
5,
6
] |
#!/usr/bin/python
#_*_coding:utf-8_*_
import random
def main():
source = "I couldn't believe that I could actually understand what I was reading : the phenomenal power of the human mind ."
words = source.strip().split(" ")
new_str = list()
for word in words:
if len(word) > 4:
shuffled_char = random.sample(list(word[1:-1]), len(list(word[1:-1])))
new_str.append(word[:1] + "".join(shuffled_char) + word[-1:])
else:
new_str.append(word)
print " ".join(new_str)
if __name__ == "__main__":
main()
|
normal
|
{
"blob_id": "14b98186fbc9c275cea3c042cdb4899f6d0c54c6",
"index": 3419,
"step-1": "#!/usr/bin/python\n#_*_coding:utf-8_*_\n\nimport random\n\ndef main():\n source = \"I couldn't believe that I could actually understand what I was reading : the phenomenal power of the human mind .\"\n words = source.strip().split(\" \")\n new_str = list()\n for word in words:\n if len(word) > 4:\n shuffled_char = random.sample(list(word[1:-1]), len(list(word[1:-1])))\n new_str.append(word[:1] + \"\".join(shuffled_char) + word[-1:])\n else:\n new_str.append(word)\n print \" \".join(new_str)\n\n\nif __name__ == \"__main__\":\n main()\n\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
}
|
[
0
] |
#!/usr/bin/python
import platform
from numpy import ctypeslib,empty,array,exp,ascontiguousarray,zeros,asfortranarray
from ctypes import c_float,c_double,c_int
from time import time
def resize(img,scale):
"""
downsample img to scale
"""
sdims=img.shape
datatype=c_double
if img.dtype!=datatype:
print "Error the image must be of doubles!"
raise RuntimeError
if scale>1.0:
print "Invalid scaling factor!"
raise RuntimeError
img = asfortranarray(img,c_double) # make array continguous
try:
mresize = ctypeslib.load_library("libresize.so",".")
except:
print "Unable to load resize library"
raise RuntimeError
#use two times the 1d resize to get a 2d resize
fresize = mresize.resize1dtran
fresize.restype = None
fresize.argtypes = [ ctypeslib.ndpointer(dtype=datatype, ndim=3), c_int,ctypeslib.ndpointer(dtype=datatype, ndim=3), c_int, c_int , c_int ]
ddims = [int(round(sdims[0]*scale)),int(round(sdims[1]*scale)),sdims[2]];
mxdst = zeros((ddims), dtype=datatype)
tmp = zeros((ddims[0],sdims[1],sdims[2]), dtype=datatype)
img1=img
t1=time()
fresize(img1, sdims[0], tmp, ddims[0], sdims[1], sdims[2]);
fresize(tmp, sdims[1], mxdst, ddims[1], ddims[0], sdims[2]);
t2=time()
return mxdst.reshape(ddims[2],ddims[1],ddims[0]).T
if __name__ == "__main__":
from numpy.random import random_integers
from time import time
from pylab import imread,figure,imshow
from ctypes import c_float,c_double,c_int
img=imread("test.png").astype(c_double)
imshow(img)
img1=resize(img,0.25)
figure()
imshow(img1)
|
normal
|
{
"blob_id": "816f4cfe98f5e5b23f2c8f9f42c5f3ed8458042f",
"index": 3700,
"step-1": "#!/usr/bin/python \n\nimport platform\nfrom numpy import ctypeslib,empty,array,exp,ascontiguousarray,zeros,asfortranarray\nfrom ctypes import c_float,c_double,c_int\nfrom time import time\n\ndef resize(img,scale):\n \"\"\"\n downsample img to scale \n \"\"\"\n sdims=img.shape\n datatype=c_double\n if img.dtype!=datatype:\n print \"Error the image must be of doubles!\"\n raise RuntimeError\n\n if scale>1.0:\n print \"Invalid scaling factor!\"\n raise RuntimeError \n \n img = asfortranarray(img,c_double) # make array continguous\n \n try:\n mresize = ctypeslib.load_library(\"libresize.so\",\".\") \n except:\n print \"Unable to load resize library\"\n raise RuntimeError\n \n #use two times the 1d resize to get a 2d resize\n fresize = mresize.resize1dtran\n fresize.restype = None\n fresize.argtypes = [ ctypeslib.ndpointer(dtype=datatype, ndim=3), c_int,ctypeslib.ndpointer(dtype=datatype, ndim=3), c_int, c_int , c_int ]\n ddims = [int(round(sdims[0]*scale)),int(round(sdims[1]*scale)),sdims[2]];\n mxdst = zeros((ddims), dtype=datatype)\n tmp = zeros((ddims[0],sdims[1],sdims[2]), dtype=datatype)\n img1=img\n t1=time()\n fresize(img1, sdims[0], tmp, ddims[0], sdims[1], sdims[2]);\n fresize(tmp, sdims[1], mxdst, ddims[1], ddims[0], sdims[2]);\n t2=time()\n return mxdst.reshape(ddims[2],ddims[1],ddims[0]).T\n\n\nif __name__ == \"__main__\":\n from numpy.random import random_integers\n from time import time\n from pylab import imread,figure,imshow\n from ctypes import c_float,c_double,c_int\n \n img=imread(\"test.png\").astype(c_double)\n imshow(img)\n img1=resize(img,0.25)\n figure()\n imshow(img1)\n\n \n\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
}
|
[
0
] |
#!/usr/bin/env python
#coding:utf-8
"""
Author: Wusf --<wushifan221@gmail.com>
Purpose:
Created: 2016/2/29
"""
import os,sys,sqlite3
MyQtLibPath = os.path.abspath("D:\\MyQuantLib\\")
sys.path.append(MyQtLibPath)
import PCA.PCA_For_Stat_Arb2 as pca
import pandas as pd
import numpy as np
import time
def ComputeZScores(begDate,endDate,computeZScore,paramsDict,mark):
v = paramsDict['EigenNum']
varPecent = paramsDict['VarExplained']
corrSampleDays = paramsDict['CorrMatSampleDays']
regressSampleDays = paramsDict['RegressSampleDays']
ouSampleDays = paramsDict['OUFitSampleDays']
ifDeTrend = paramsDict['IfDeTrend']
ifAdjustReturnByVol = paramsDict['IfAdjRetByVol']
days = []
score=pd.DataFrame()
score_adj = pd.DataFrame()
revsD=pd.DataFrame()
rsqrd=pd.DataFrame()
significantEigNum = []
c = 0
for i in range(600,len(computeZScore.trdDay)):
scoreDate = computeZScore.trdDay[i]
if scoreDate>=begDate and scoreDate<endDate:
c+=1
tm1 = time.time()
k = 1
for i in range(600,len(computeZScore.trdDay)):
scoreDate = computeZScore.trdDay[i]
if scoreDate>=begDate and scoreDate<endDate:
if k==1 or i%1==0:
reEstCorrDay = computeZScore.trdDay[i]
computeZScore.GenEigenPort(reEstCorrDay,v,varPecent,corrSampleDays,0.05)
print "Re estimate correlation matrix and process PCA"
computeZScore.RegressOnEigenFactor(scoreDate,regressSampleDays,ifAdjustReturnByVol,winsorize=0)
res = computeZScore.OUFitAndCalcZScore(ouSampleDays,ifDeTrend)
significantEigNum.append(computeZScore.significantEigNum)
_score = res[0].loc['score'].to_frame(scoreDate).transpose()
_scoreAdj = res[0].loc['score_adj'].to_frame(scoreDate).transpose()
_revsD = res[0].loc['period'].to_frame(scoreDate).transpose()
_rsqrd = res[1].to_frame(scoreDate).transpose()
score = score.append(_score)
score_adj=score_adj.append(_scoreAdj)
revsD = revsD.append(_revsD)
rsqrd = rsqrd.append(_rsqrd)
k+=1
tm2 = time.time()
deltaT = int((tm2-tm1)/k*(c-k))
print "Generating zscore,date:{},paras:{}|{}|{}|{}......{}s left".format(scoreDate,v,varPecent,corrSampleDays,regressSampleDays,deltaT)
score.to_csv("ZScores{}.csv".format(mark))
score_adj.to_csv("ZScores_adj{}.csv".format(mark))
revsD.to_csv("ReversePerid{}.csv".format(mark))
rsqrd.to_csv("RegressionRSquared{}.csv".format(mark))
np.savetxt("sigEigNum{}.csv".format(mark), np.array(significantEigNum), delimiter=",")
if __name__=="__main__":
computeZScore = pca.PCA_For_Stat_Arb("MktData\\MktData_Wind_CICC.db", 1,"20050104")
computeZScore.LoadDataIntoTimeSeries("000300","000300",1)
begDate = "20080101"
endDate = "20160310"
params1 = {}
params1['EigenNum']=0
params1['VarExplained']=0.60
params1['CorrMatSampleDays']=100
params1['RegressSampleDays']=40
params1['OUFitSampleDays']=40
params1['IfDeTrend']=0
params1['IfAdjRetByVol']=0
params2 = {}
params2['EigenNum']=0
params2['VarExplained']=0.60
params2['CorrMatSampleDays']=80
params2['RegressSampleDays']=40
params2['OUFitSampleDays']=40
params2['IfDeTrend']=0
params2['IfAdjRetByVol']=0
params3 = {}
params3['EigenNum']=0
params3['VarExplained']=0.60
params3['CorrMatSampleDays']=60
params3['RegressSampleDays']=40
params3['OUFitSampleDays']=40
params3['IfDeTrend']=0
params3['IfAdjRetByVol']=0
params4 = {}
params4['EigenNum']=0
params4['VarExplained']=0.60
params4['CorrMatSampleDays']=40
params4['RegressSampleDays']=40
params4['OUFitSampleDays']=40
params4['IfDeTrend']=0
params4['IfAdjRetByVol']=0
params5 = {}
params5['EigenNum']=0
params5['VarExplained']=0.65
params5['CorrMatSampleDays']=60
params5['RegressSampleDays']=40
params5['OUFitSampleDays']=40
params5['IfDeTrend']=0
params5['IfAdjRetByVol']=0
params6 = {}
params6['EigenNum']=0
params6['VarExplained']=0.60
params6['CorrMatSampleDays']=60
params6['RegressSampleDays']=40
params6['OUFitSampleDays']=40
params6['IfDeTrend']=1
params6['IfAdjRetByVol']=0
params7 = {}
params7['EigenNum']=0
params7['VarExplained']=0.60
params7['CorrMatSampleDays']=60
params7['RegressSampleDays']=60
params7['OUFitSampleDays']=60
params7['IfDeTrend']=0
params7['IfAdjRetByVol']=0
ComputeZScores(begDate,endDate,computeZScore,params1,'Params301')
ComputeZScores(begDate,endDate,computeZScore,params2,'Params302')
ComputeZScores(begDate,endDate,computeZScore,params3,'Params303')
ComputeZScores(begDate,endDate,computeZScore,params4,'Params304')
ComputeZScores(begDate,endDate,computeZScore,params5,'Params305')
ComputeZScores(begDate,endDate,computeZScore,params6,'Params306')
ComputeZScores(begDate,endDate,computeZScore,params7,'Params307')
|
normal
|
{
"blob_id": "70cda2d6d3928cd8008daf221cd78665a9b05eea",
"index": 7064,
"step-1": "#!/usr/bin/env python\n#coding:utf-8\n\"\"\"\n Author: Wusf --<wushifan221@gmail.com>\n Purpose: \n Created: 2016/2/29\n\"\"\"\n\nimport os,sys,sqlite3\nMyQtLibPath = os.path.abspath(\"D:\\\\MyQuantLib\\\\\")\nsys.path.append(MyQtLibPath)\n\nimport PCA.PCA_For_Stat_Arb2 as pca\nimport pandas as pd\nimport numpy as np\nimport time\n\n\ndef ComputeZScores(begDate,endDate,computeZScore,paramsDict,mark):\n\n v = paramsDict['EigenNum']\n varPecent = paramsDict['VarExplained']\n corrSampleDays = paramsDict['CorrMatSampleDays']\n regressSampleDays = paramsDict['RegressSampleDays']\n ouSampleDays = paramsDict['OUFitSampleDays']\n ifDeTrend = paramsDict['IfDeTrend']\n ifAdjustReturnByVol = paramsDict['IfAdjRetByVol']\n\n \n days = []\n score=pd.DataFrame()\n score_adj = pd.DataFrame()\n revsD=pd.DataFrame()\n rsqrd=pd.DataFrame()\n significantEigNum = []\n \n c = 0\n for i in range(600,len(computeZScore.trdDay)):\n scoreDate = computeZScore.trdDay[i]\n if scoreDate>=begDate and scoreDate<endDate: \n c+=1\n \n tm1 = time.time()\n k = 1\n for i in range(600,len(computeZScore.trdDay)):\n scoreDate = computeZScore.trdDay[i]\n if scoreDate>=begDate and scoreDate<endDate:\n if k==1 or i%1==0:\n reEstCorrDay = computeZScore.trdDay[i]\n computeZScore.GenEigenPort(reEstCorrDay,v,varPecent,corrSampleDays,0.05)\n print \"Re estimate correlation matrix and process PCA\"\n computeZScore.RegressOnEigenFactor(scoreDate,regressSampleDays,ifAdjustReturnByVol,winsorize=0)\n res = computeZScore.OUFitAndCalcZScore(ouSampleDays,ifDeTrend)\n significantEigNum.append(computeZScore.significantEigNum)\n _score = res[0].loc['score'].to_frame(scoreDate).transpose()\n _scoreAdj = res[0].loc['score_adj'].to_frame(scoreDate).transpose()\n _revsD = res[0].loc['period'].to_frame(scoreDate).transpose()\n _rsqrd = res[1].to_frame(scoreDate).transpose()\n score = score.append(_score)\n score_adj=score_adj.append(_scoreAdj)\n revsD = revsD.append(_revsD)\n rsqrd = rsqrd.append(_rsqrd)\n k+=1\n tm2 = time.time()\n deltaT = int((tm2-tm1)/k*(c-k))\n print \"Generating zscore,date:{},paras:{}|{}|{}|{}......{}s left\".format(scoreDate,v,varPecent,corrSampleDays,regressSampleDays,deltaT)\n score.to_csv(\"ZScores{}.csv\".format(mark))\n score_adj.to_csv(\"ZScores_adj{}.csv\".format(mark))\n revsD.to_csv(\"ReversePerid{}.csv\".format(mark))\n rsqrd.to_csv(\"RegressionRSquared{}.csv\".format(mark))\n np.savetxt(\"sigEigNum{}.csv\".format(mark), np.array(significantEigNum), delimiter=\",\")\n\n\n\n\nif __name__==\"__main__\":\n computeZScore = pca.PCA_For_Stat_Arb(\"MktData\\\\MktData_Wind_CICC.db\", 1,\"20050104\")\n computeZScore.LoadDataIntoTimeSeries(\"000300\",\"000300\",1) \n begDate = \"20080101\"\n endDate = \"20160310\"\n params1 = {}\n params1['EigenNum']=0\n params1['VarExplained']=0.60\n params1['CorrMatSampleDays']=100\n params1['RegressSampleDays']=40\n params1['OUFitSampleDays']=40\n params1['IfDeTrend']=0\n params1['IfAdjRetByVol']=0\n \n params2 = {}\n params2['EigenNum']=0\n params2['VarExplained']=0.60\n params2['CorrMatSampleDays']=80\n params2['RegressSampleDays']=40\n params2['OUFitSampleDays']=40\n params2['IfDeTrend']=0\n params2['IfAdjRetByVol']=0 \n \n params3 = {}\n params3['EigenNum']=0\n params3['VarExplained']=0.60\n params3['CorrMatSampleDays']=60\n params3['RegressSampleDays']=40\n params3['OUFitSampleDays']=40\n params3['IfDeTrend']=0\n params3['IfAdjRetByVol']=0 \n \n params4 = {}\n params4['EigenNum']=0\n params4['VarExplained']=0.60\n params4['CorrMatSampleDays']=40\n params4['RegressSampleDays']=40\n params4['OUFitSampleDays']=40\n params4['IfDeTrend']=0\n params4['IfAdjRetByVol']=0 \n \n params5 = {}\n params5['EigenNum']=0\n params5['VarExplained']=0.65\n params5['CorrMatSampleDays']=60\n params5['RegressSampleDays']=40\n params5['OUFitSampleDays']=40\n params5['IfDeTrend']=0\n params5['IfAdjRetByVol']=0 \n \n params6 = {}\n params6['EigenNum']=0\n params6['VarExplained']=0.60\n params6['CorrMatSampleDays']=60\n params6['RegressSampleDays']=40\n params6['OUFitSampleDays']=40\n params6['IfDeTrend']=1\n params6['IfAdjRetByVol']=0 \n \n params7 = {}\n params7['EigenNum']=0\n params7['VarExplained']=0.60\n params7['CorrMatSampleDays']=60\n params7['RegressSampleDays']=60\n params7['OUFitSampleDays']=60\n params7['IfDeTrend']=0\n params7['IfAdjRetByVol']=0 \n \n \n ComputeZScores(begDate,endDate,computeZScore,params1,'Params301')\n ComputeZScores(begDate,endDate,computeZScore,params2,'Params302')\n ComputeZScores(begDate,endDate,computeZScore,params3,'Params303')\n ComputeZScores(begDate,endDate,computeZScore,params4,'Params304')\n ComputeZScores(begDate,endDate,computeZScore,params5,'Params305')\n ComputeZScores(begDate,endDate,computeZScore,params6,'Params306')\n ComputeZScores(begDate,endDate,computeZScore,params7,'Params307')\n\n\n\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
}
|
[
0
] |
<|reserved_special_token_0|>
class CNN(object):
def __init__(self):
self.model = tf.keras.Sequential([tf.keras.layers.Conv2D(32, (3, 3),
activation='relu', input_shape=(150, 150, 1)), tf.keras.layers.
MaxPool2D((2, 2)), tf.keras.layers.Conv2D(64, (3, 3),
activation='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.
layers.Conv2D(128, (3, 3), activation='relu'), tf.keras.layers.
MaxPool2D(2, 2), tf.keras.layers.Conv2D(128, (3, 3), activation
='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.layers.
Flatten(), tf.keras.layers.Dropout(0.5), tf.keras.layers.Dense(
512, activation='relu'), tf.keras.layers.Dense(1, activation=
'sigmoid')])
self.last_training_history = {}
def print_model_info(self):
print(self.model.summary())
def get_model(self):
return self.model
def load_weights(self, filepath='model.h5'):
self.model.load_weights(filepath)
self.model.compile(optimizer='adam', loss='binary_crossentropy',
metrics=['acc'])
def load_last_training_history(self, filepath='result.pk'):
with open(filepath, 'rb') as f:
self.last_training_history = pickle.load(f)
def get_last_training_history(self):
return self.last_training_history
def plot_last_training_history(self, save_plot=False):
for key in self.last_training_history:
y = self.last_training_history[key]
plt.plot([(i + 1) for i in range(len(y))], y, label=key)
plt.legend()
plt.grid()
plt.xlabel('epoch')
if save_plot:
plt.savefig('training_history.png', dpi=300)
else:
plt.show()
def train(self, directory, epochs=100, save_model=False, save_history=False
):
train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale
=1.0 / 255, rotation_range=20, width_shift_range=0.15,
height_shift_range=0.15, shear_range=0.15, zoom_range=0.15,
fill_mode='nearest', horizontal_flip=True, vertical_flip=False,
brightness_range=None, channel_shift_range=0)
test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale
=1.0 / 255)
train_generator = train_datagen.flow_from_directory(directory,
target_size=(150, 150), batch_size=32, color_mode='grayscale',
class_mode='binary')
test_generator = test_datagen.flow_from_directory(directory,
target_size=(150, 150), batch_size=32, color_mode='grayscale',
class_mode='binary')
self.model.compile(optimizer='adam', loss='binary_crossentropy',
metrics=['acc'])
history = self.model.fit(train_generator, epochs=epochs,
validation_data=test_generator)
if save_model:
self.model.save('model.h5')
if save_history:
with open('result.pk', 'wb') as f:
pickle.dump(history.history, f)
self.last_training_history = history.history
return history.history
def predict_directory(self, directory, probabilities=True):
if directory[-1] != '\\' and directory[-1] != '/':
directory += '/'
predictions = {}
onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.
path.join(directory, f))]
for image_file in onlyfiles:
img = tf.keras.preprocessing.image.load_img(directory +
image_file, target_size=(150, 150), color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img)
x = x.reshape((1,) + x.shape)
x = x / 255
y = self.model.predict(x)[0][0]
if probabilities:
predictions[image_file] = y
else:
predictions[image_file] = y > 0.5
return predictions
def predict_single_image(self, file_url):
self.load_weights()
self.load_last_training_history()
file_name = 'image.jpg'
urllib.request.urlretrieve(file_url, file_name)
img = tf.keras.preprocessing.image.load_img(file_name, target_size=
(150, 150), color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img)
x = x.reshape((1,) + x.shape)
x = x / 255
prediction = self.model.predict(x)[0][0]
is_default_image = prediction < 0.5
print(prediction)
os.remove(file_name)
return json.dumps(True) if is_default_image else json.dumps(False)
<|reserved_special_token_0|>
def split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):
assert train_size + test_size + val_size == 1
assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1
subdirs = next(os.walk(directory))[1]
if train_size > 0:
os.mkdir(directory + '/train')
for subdir in subdirs:
os.mkdir(directory + '/train/' + subdir)
if test_size > 0:
os.mkdir(directory + '/test')
for subdir in subdirs:
os.mkdir(directory + '/test/' + subdir)
if val_size > 0:
os.mkdir(directory + '/val')
for subdir in subdirs:
os.mkdir(directory + '/val/' + subdir)
pathlist = Path(directory).rglob('*.*')
for path in pathlist:
instance_path = str(path)
instance_properties = instance_path.split('/'
) if '/' in instance_path else instance_path.split('\\')
instance_name = instance_properties[-1]
instance_class = instance_properties[-2]
r = random.random()
if r < val_size:
subfolder = '/val/'
elif r < test_size + val_size:
subfolder = '/test/'
else:
subfolder = '/train/'
os.rename(instance_path, '/'.join(instance_properties[:-2]) +
subfolder + instance_class + '/' + instance_name)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CNN(object):
def __init__(self):
self.model = tf.keras.Sequential([tf.keras.layers.Conv2D(32, (3, 3),
activation='relu', input_shape=(150, 150, 1)), tf.keras.layers.
MaxPool2D((2, 2)), tf.keras.layers.Conv2D(64, (3, 3),
activation='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.
layers.Conv2D(128, (3, 3), activation='relu'), tf.keras.layers.
MaxPool2D(2, 2), tf.keras.layers.Conv2D(128, (3, 3), activation
='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.layers.
Flatten(), tf.keras.layers.Dropout(0.5), tf.keras.layers.Dense(
512, activation='relu'), tf.keras.layers.Dense(1, activation=
'sigmoid')])
self.last_training_history = {}
def print_model_info(self):
print(self.model.summary())
def get_model(self):
return self.model
def load_weights(self, filepath='model.h5'):
self.model.load_weights(filepath)
self.model.compile(optimizer='adam', loss='binary_crossentropy',
metrics=['acc'])
def load_last_training_history(self, filepath='result.pk'):
with open(filepath, 'rb') as f:
self.last_training_history = pickle.load(f)
def get_last_training_history(self):
return self.last_training_history
def plot_last_training_history(self, save_plot=False):
for key in self.last_training_history:
y = self.last_training_history[key]
plt.plot([(i + 1) for i in range(len(y))], y, label=key)
plt.legend()
plt.grid()
plt.xlabel('epoch')
if save_plot:
plt.savefig('training_history.png', dpi=300)
else:
plt.show()
def train(self, directory, epochs=100, save_model=False, save_history=False
):
train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale
=1.0 / 255, rotation_range=20, width_shift_range=0.15,
height_shift_range=0.15, shear_range=0.15, zoom_range=0.15,
fill_mode='nearest', horizontal_flip=True, vertical_flip=False,
brightness_range=None, channel_shift_range=0)
test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale
=1.0 / 255)
train_generator = train_datagen.flow_from_directory(directory,
target_size=(150, 150), batch_size=32, color_mode='grayscale',
class_mode='binary')
test_generator = test_datagen.flow_from_directory(directory,
target_size=(150, 150), batch_size=32, color_mode='grayscale',
class_mode='binary')
self.model.compile(optimizer='adam', loss='binary_crossentropy',
metrics=['acc'])
history = self.model.fit(train_generator, epochs=epochs,
validation_data=test_generator)
if save_model:
self.model.save('model.h5')
if save_history:
with open('result.pk', 'wb') as f:
pickle.dump(history.history, f)
self.last_training_history = history.history
return history.history
def predict_directory(self, directory, probabilities=True):
if directory[-1] != '\\' and directory[-1] != '/':
directory += '/'
predictions = {}
onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.
path.join(directory, f))]
for image_file in onlyfiles:
img = tf.keras.preprocessing.image.load_img(directory +
image_file, target_size=(150, 150), color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img)
x = x.reshape((1,) + x.shape)
x = x / 255
y = self.model.predict(x)[0][0]
if probabilities:
predictions[image_file] = y
else:
predictions[image_file] = y > 0.5
return predictions
def predict_single_image(self, file_url):
self.load_weights()
self.load_last_training_history()
file_name = 'image.jpg'
urllib.request.urlretrieve(file_url, file_name)
img = tf.keras.preprocessing.image.load_img(file_name, target_size=
(150, 150), color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img)
x = x.reshape((1,) + x.shape)
x = x / 255
prediction = self.model.predict(x)[0][0]
is_default_image = prediction < 0.5
print(prediction)
os.remove(file_name)
return json.dumps(True) if is_default_image else json.dumps(False)
def evaluate_on_directory(self, directory):
val_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=
1.0 / 255)
val_generator = val_datagen.flow_from_directory(directory, target_size=
(150, 150), batch_size=32, color_mode='grayscale', class_mode='binary')
return self.model.evaluate(val_generator)
def split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):
assert train_size + test_size + val_size == 1
assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1
subdirs = next(os.walk(directory))[1]
if train_size > 0:
os.mkdir(directory + '/train')
for subdir in subdirs:
os.mkdir(directory + '/train/' + subdir)
if test_size > 0:
os.mkdir(directory + '/test')
for subdir in subdirs:
os.mkdir(directory + '/test/' + subdir)
if val_size > 0:
os.mkdir(directory + '/val')
for subdir in subdirs:
os.mkdir(directory + '/val/' + subdir)
pathlist = Path(directory).rglob('*.*')
for path in pathlist:
instance_path = str(path)
instance_properties = instance_path.split('/'
) if '/' in instance_path else instance_path.split('\\')
instance_name = instance_properties[-1]
instance_class = instance_properties[-2]
r = random.random()
if r < val_size:
subfolder = '/val/'
elif r < test_size + val_size:
subfolder = '/test/'
else:
subfolder = '/train/'
os.rename(instance_path, '/'.join(instance_properties[:-2]) +
subfolder + instance_class + '/' + instance_name)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class CNN(object):
def __init__(self):
self.model = tf.keras.Sequential([tf.keras.layers.Conv2D(32, (3, 3),
activation='relu', input_shape=(150, 150, 1)), tf.keras.layers.
MaxPool2D((2, 2)), tf.keras.layers.Conv2D(64, (3, 3),
activation='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.
layers.Conv2D(128, (3, 3), activation='relu'), tf.keras.layers.
MaxPool2D(2, 2), tf.keras.layers.Conv2D(128, (3, 3), activation
='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.layers.
Flatten(), tf.keras.layers.Dropout(0.5), tf.keras.layers.Dense(
512, activation='relu'), tf.keras.layers.Dense(1, activation=
'sigmoid')])
self.last_training_history = {}
def print_model_info(self):
print(self.model.summary())
def get_model(self):
return self.model
def load_weights(self, filepath='model.h5'):
self.model.load_weights(filepath)
self.model.compile(optimizer='adam', loss='binary_crossentropy',
metrics=['acc'])
def load_last_training_history(self, filepath='result.pk'):
with open(filepath, 'rb') as f:
self.last_training_history = pickle.load(f)
def get_last_training_history(self):
return self.last_training_history
def plot_last_training_history(self, save_plot=False):
for key in self.last_training_history:
y = self.last_training_history[key]
plt.plot([(i + 1) for i in range(len(y))], y, label=key)
plt.legend()
plt.grid()
plt.xlabel('epoch')
if save_plot:
plt.savefig('training_history.png', dpi=300)
else:
plt.show()
def train(self, directory, epochs=100, save_model=False, save_history=False
):
train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale
=1.0 / 255, rotation_range=20, width_shift_range=0.15,
height_shift_range=0.15, shear_range=0.15, zoom_range=0.15,
fill_mode='nearest', horizontal_flip=True, vertical_flip=False,
brightness_range=None, channel_shift_range=0)
test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale
=1.0 / 255)
train_generator = train_datagen.flow_from_directory(directory,
target_size=(150, 150), batch_size=32, color_mode='grayscale',
class_mode='binary')
test_generator = test_datagen.flow_from_directory(directory,
target_size=(150, 150), batch_size=32, color_mode='grayscale',
class_mode='binary')
self.model.compile(optimizer='adam', loss='binary_crossentropy',
metrics=['acc'])
history = self.model.fit(train_generator, epochs=epochs,
validation_data=test_generator)
if save_model:
self.model.save('model.h5')
if save_history:
with open('result.pk', 'wb') as f:
pickle.dump(history.history, f)
self.last_training_history = history.history
return history.history
def predict_directory(self, directory, probabilities=True):
if directory[-1] != '\\' and directory[-1] != '/':
directory += '/'
predictions = {}
onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.
path.join(directory, f))]
for image_file in onlyfiles:
img = tf.keras.preprocessing.image.load_img(directory +
image_file, target_size=(150, 150), color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img)
x = x.reshape((1,) + x.shape)
x = x / 255
y = self.model.predict(x)[0][0]
if probabilities:
predictions[image_file] = y
else:
predictions[image_file] = y > 0.5
return predictions
def predict_single_image(self, file_url):
self.load_weights()
self.load_last_training_history()
file_name = 'image.jpg'
urllib.request.urlretrieve(file_url, file_name)
img = tf.keras.preprocessing.image.load_img(file_name, target_size=
(150, 150), color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img)
x = x.reshape((1,) + x.shape)
x = x / 255
prediction = self.model.predict(x)[0][0]
is_default_image = prediction < 0.5
print(prediction)
os.remove(file_name)
return json.dumps(True) if is_default_image else json.dumps(False)
def evaluate_on_directory(self, directory):
val_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=
1.0 / 255)
val_generator = val_datagen.flow_from_directory(directory, target_size=
(150, 150), batch_size=32, color_mode='grayscale', class_mode='binary')
return self.model.evaluate(val_generator)
def split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):
assert train_size + test_size + val_size == 1
assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1
subdirs = next(os.walk(directory))[1]
if train_size > 0:
os.mkdir(directory + '/train')
for subdir in subdirs:
os.mkdir(directory + '/train/' + subdir)
if test_size > 0:
os.mkdir(directory + '/test')
for subdir in subdirs:
os.mkdir(directory + '/test/' + subdir)
if val_size > 0:
os.mkdir(directory + '/val')
for subdir in subdirs:
os.mkdir(directory + '/val/' + subdir)
pathlist = Path(directory).rglob('*.*')
for path in pathlist:
instance_path = str(path)
instance_properties = instance_path.split('/'
) if '/' in instance_path else instance_path.split('\\')
instance_name = instance_properties[-1]
instance_class = instance_properties[-2]
r = random.random()
if r < val_size:
subfolder = '/val/'
elif r < test_size + val_size:
subfolder = '/test/'
else:
subfolder = '/train/'
os.rename(instance_path, '/'.join(instance_properties[:-2]) +
subfolder + instance_class + '/' + instance_name)
if __name__ == '__main__':
cnn = CNN()
cnn.load_weights()
cnn.load_last_training_history()
cnn.print_model_info()
<|reserved_special_token_1|>
import json
import os
import pickle
import random
import urllib.request
from pathlib import Path
import tensorflow as tf
from matplotlib import pyplot as plt
class CNN(object):
def __init__(self):
self.model = tf.keras.Sequential([tf.keras.layers.Conv2D(32, (3, 3),
activation='relu', input_shape=(150, 150, 1)), tf.keras.layers.
MaxPool2D((2, 2)), tf.keras.layers.Conv2D(64, (3, 3),
activation='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.
layers.Conv2D(128, (3, 3), activation='relu'), tf.keras.layers.
MaxPool2D(2, 2), tf.keras.layers.Conv2D(128, (3, 3), activation
='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.layers.
Flatten(), tf.keras.layers.Dropout(0.5), tf.keras.layers.Dense(
512, activation='relu'), tf.keras.layers.Dense(1, activation=
'sigmoid')])
self.last_training_history = {}
def print_model_info(self):
print(self.model.summary())
def get_model(self):
return self.model
def load_weights(self, filepath='model.h5'):
self.model.load_weights(filepath)
self.model.compile(optimizer='adam', loss='binary_crossentropy',
metrics=['acc'])
def load_last_training_history(self, filepath='result.pk'):
with open(filepath, 'rb') as f:
self.last_training_history = pickle.load(f)
def get_last_training_history(self):
return self.last_training_history
def plot_last_training_history(self, save_plot=False):
for key in self.last_training_history:
y = self.last_training_history[key]
plt.plot([(i + 1) for i in range(len(y))], y, label=key)
plt.legend()
plt.grid()
plt.xlabel('epoch')
if save_plot:
plt.savefig('training_history.png', dpi=300)
else:
plt.show()
def train(self, directory, epochs=100, save_model=False, save_history=False
):
train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale
=1.0 / 255, rotation_range=20, width_shift_range=0.15,
height_shift_range=0.15, shear_range=0.15, zoom_range=0.15,
fill_mode='nearest', horizontal_flip=True, vertical_flip=False,
brightness_range=None, channel_shift_range=0)
test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale
=1.0 / 255)
train_generator = train_datagen.flow_from_directory(directory,
target_size=(150, 150), batch_size=32, color_mode='grayscale',
class_mode='binary')
test_generator = test_datagen.flow_from_directory(directory,
target_size=(150, 150), batch_size=32, color_mode='grayscale',
class_mode='binary')
self.model.compile(optimizer='adam', loss='binary_crossentropy',
metrics=['acc'])
history = self.model.fit(train_generator, epochs=epochs,
validation_data=test_generator)
if save_model:
self.model.save('model.h5')
if save_history:
with open('result.pk', 'wb') as f:
pickle.dump(history.history, f)
self.last_training_history = history.history
return history.history
def predict_directory(self, directory, probabilities=True):
if directory[-1] != '\\' and directory[-1] != '/':
directory += '/'
predictions = {}
onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.
path.join(directory, f))]
for image_file in onlyfiles:
img = tf.keras.preprocessing.image.load_img(directory +
image_file, target_size=(150, 150), color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img)
x = x.reshape((1,) + x.shape)
x = x / 255
y = self.model.predict(x)[0][0]
if probabilities:
predictions[image_file] = y
else:
predictions[image_file] = y > 0.5
return predictions
def predict_single_image(self, file_url):
self.load_weights()
self.load_last_training_history()
file_name = 'image.jpg'
urllib.request.urlretrieve(file_url, file_name)
img = tf.keras.preprocessing.image.load_img(file_name, target_size=
(150, 150), color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img)
x = x.reshape((1,) + x.shape)
x = x / 255
prediction = self.model.predict(x)[0][0]
is_default_image = prediction < 0.5
print(prediction)
os.remove(file_name)
return json.dumps(True) if is_default_image else json.dumps(False)
def evaluate_on_directory(self, directory):
val_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=
1.0 / 255)
val_generator = val_datagen.flow_from_directory(directory, target_size=
(150, 150), batch_size=32, color_mode='grayscale', class_mode='binary')
return self.model.evaluate(val_generator)
def split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):
assert train_size + test_size + val_size == 1
assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1
subdirs = next(os.walk(directory))[1]
if train_size > 0:
os.mkdir(directory + '/train')
for subdir in subdirs:
os.mkdir(directory + '/train/' + subdir)
if test_size > 0:
os.mkdir(directory + '/test')
for subdir in subdirs:
os.mkdir(directory + '/test/' + subdir)
if val_size > 0:
os.mkdir(directory + '/val')
for subdir in subdirs:
os.mkdir(directory + '/val/' + subdir)
pathlist = Path(directory).rglob('*.*')
for path in pathlist:
instance_path = str(path)
instance_properties = instance_path.split('/'
) if '/' in instance_path else instance_path.split('\\')
instance_name = instance_properties[-1]
instance_class = instance_properties[-2]
r = random.random()
if r < val_size:
subfolder = '/val/'
elif r < test_size + val_size:
subfolder = '/test/'
else:
subfolder = '/train/'
os.rename(instance_path, '/'.join(instance_properties[:-2]) +
subfolder + instance_class + '/' + instance_name)
if __name__ == '__main__':
cnn = CNN()
cnn.load_weights()
cnn.load_last_training_history()
cnn.print_model_info()
<|reserved_special_token_1|>
import json
import os
import pickle
import random
import urllib.request
from pathlib import Path
import tensorflow as tf
from matplotlib import pyplot as plt
class CNN(object):
def __init__(self):
self.model = tf.keras.Sequential([
tf.keras.layers.Conv2D(32, (3, 3), activation='relu', input_shape=(150, 150, 1)),
tf.keras.layers.MaxPool2D((2, 2)),
tf.keras.layers.Conv2D(64, (3, 3), activation='relu'),
tf.keras.layers.MaxPool2D(2, 2),
tf.keras.layers.Conv2D(128, (3, 3), activation='relu'),
tf.keras.layers.MaxPool2D(2, 2),
tf.keras.layers.Conv2D(128, (3, 3), activation='relu'),
tf.keras.layers.MaxPool2D(2, 2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dropout(0.5),
tf.keras.layers.Dense(512, activation='relu'),
tf.keras.layers.Dense(1, activation='sigmoid')
])
self.last_training_history = {}
def print_model_info(self):
print(self.model.summary())
def get_model(self):
return self.model
def load_weights(self, filepath='model.h5'):
self.model.load_weights(filepath)
self.model.compile(
optimizer='adam',
loss='binary_crossentropy',
metrics=['acc']
)
def load_last_training_history(self, filepath='result.pk'):
with open(filepath, 'rb') as f:
self.last_training_history = pickle.load(f)
def get_last_training_history(self):
return self.last_training_history
def plot_last_training_history(self, save_plot=False):
for key in self.last_training_history:
y = self.last_training_history[key]
plt.plot([i + 1 for i in range(len(y))], y, label=key)
plt.legend()
plt.grid()
plt.xlabel('epoch')
if save_plot:
plt.savefig('training_history.png', dpi=300)
else:
plt.show()
def train(self, directory, epochs=100, save_model=False, save_history=False):
train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(
rescale=1. / 255,
rotation_range=20,
width_shift_range=0.15,
height_shift_range=0.15,
shear_range=0.15,
zoom_range=0.15,
fill_mode='nearest',
horizontal_flip=True,
vertical_flip=False,
brightness_range=None,
channel_shift_range=0
)
test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(
rescale=1. / 255)
train_generator = train_datagen.flow_from_directory(
directory,
target_size=(150, 150),
batch_size=32,
color_mode='grayscale',
class_mode='binary'
)
test_generator = test_datagen.flow_from_directory(
directory,
target_size=(150, 150),
batch_size=32,
color_mode='grayscale',
class_mode='binary'
)
self.model.compile(
optimizer='adam',
loss='binary_crossentropy',
metrics=['acc']
)
history = self.model.fit(
train_generator,
epochs=epochs,
validation_data=test_generator
)
if save_model:
self.model.save('model.h5')
if save_history:
with open('result.pk', 'wb') as f:
pickle.dump(history.history, f)
self.last_training_history = history.history
return history.history
def predict_directory(self, directory, probabilities=True):
if directory[-1] != '\\' and directory[-1] != '/':
directory += '/'
predictions = {}
onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.path.join(directory, f))]
for image_file in onlyfiles:
img = tf.keras.preprocessing.image.load_img(directory + image_file, target_size=(150, 150),
color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img, )
x = x.reshape((1,) + x.shape)
x = x / 255
y = self.model.predict(x)[0][0]
if probabilities:
predictions[image_file] = y
else:
predictions[image_file] = y > 0.5
return predictions
def predict_single_image(self, file_url):
self.load_weights()
self.load_last_training_history()
file_name = "image.jpg"
urllib.request.urlretrieve(file_url, file_name)
img = tf.keras.preprocessing.image.load_img(file_name, target_size=(150, 150),
color_mode='grayscale')
x = tf.keras.preprocessing.image.img_to_array(img, )
x = x.reshape((1,) + x.shape)
x = x / 255
prediction = self.model.predict(x)[0][0]
is_default_image = prediction < 0.5
print(prediction)
os.remove(file_name)
return json.dumps(True) if is_default_image else json.dumps(False)
def evaluate_on_directory(self, directory):
val_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=1. / 255)
val_generator = val_datagen.flow_from_directory(
directory,
target_size=(150, 150),
batch_size=32,
color_mode='grayscale',
class_mode='binary'
)
return self.model.evaluate(val_generator)
def split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):
assert train_size + test_size + val_size == 1
assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1
subdirs = next(os.walk(directory))[1]
if train_size > 0:
os.mkdir(directory + '/train')
for subdir in subdirs:
os.mkdir(directory + '/train/' + subdir)
if test_size > 0:
os.mkdir(directory + '/test')
for subdir in subdirs:
os.mkdir(directory + '/test/' + subdir)
if val_size > 0:
os.mkdir(directory + '/val')
for subdir in subdirs:
os.mkdir(directory + '/val/' + subdir)
pathlist = Path(directory).rglob('*.*')
for path in pathlist:
instance_path = str(path)
instance_properties = instance_path.split('/') if '/' in instance_path else instance_path.split('\\')
instance_name = instance_properties[-1]
instance_class = instance_properties[-2]
r = random.random()
if r < val_size:
subfolder = '/val/'
elif r < test_size + val_size:
subfolder = '/test/'
else:
subfolder = '/train/'
os.rename(instance_path, '/'.join(instance_properties[:-2]) + subfolder + instance_class + '/' + instance_name)
if __name__ == '__main__':
cnn = CNN()
cnn.load_weights()
cnn.load_last_training_history()
cnn.print_model_info()
|
flexible
|
{
"blob_id": "9535335c70129f997d7b8739444a503d0b984ac8",
"index": 9753,
"step-1": "<mask token>\n\n\nclass CNN(object):\n\n def __init__(self):\n self.model = tf.keras.Sequential([tf.keras.layers.Conv2D(32, (3, 3),\n activation='relu', input_shape=(150, 150, 1)), tf.keras.layers.\n MaxPool2D((2, 2)), tf.keras.layers.Conv2D(64, (3, 3),\n activation='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.\n layers.Conv2D(128, (3, 3), activation='relu'), tf.keras.layers.\n MaxPool2D(2, 2), tf.keras.layers.Conv2D(128, (3, 3), activation\n ='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.layers.\n Flatten(), tf.keras.layers.Dropout(0.5), tf.keras.layers.Dense(\n 512, activation='relu'), tf.keras.layers.Dense(1, activation=\n 'sigmoid')])\n self.last_training_history = {}\n\n def print_model_info(self):\n print(self.model.summary())\n\n def get_model(self):\n return self.model\n\n def load_weights(self, filepath='model.h5'):\n self.model.load_weights(filepath)\n self.model.compile(optimizer='adam', loss='binary_crossentropy',\n metrics=['acc'])\n\n def load_last_training_history(self, filepath='result.pk'):\n with open(filepath, 'rb') as f:\n self.last_training_history = pickle.load(f)\n\n def get_last_training_history(self):\n return self.last_training_history\n\n def plot_last_training_history(self, save_plot=False):\n for key in self.last_training_history:\n y = self.last_training_history[key]\n plt.plot([(i + 1) for i in range(len(y))], y, label=key)\n plt.legend()\n plt.grid()\n plt.xlabel('epoch')\n if save_plot:\n plt.savefig('training_history.png', dpi=300)\n else:\n plt.show()\n\n def train(self, directory, epochs=100, save_model=False, save_history=False\n ):\n train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale\n =1.0 / 255, rotation_range=20, width_shift_range=0.15,\n height_shift_range=0.15, shear_range=0.15, zoom_range=0.15,\n fill_mode='nearest', horizontal_flip=True, vertical_flip=False,\n brightness_range=None, channel_shift_range=0)\n test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale\n =1.0 / 255)\n train_generator = train_datagen.flow_from_directory(directory,\n target_size=(150, 150), batch_size=32, color_mode='grayscale',\n class_mode='binary')\n test_generator = test_datagen.flow_from_directory(directory,\n target_size=(150, 150), batch_size=32, color_mode='grayscale',\n class_mode='binary')\n self.model.compile(optimizer='adam', loss='binary_crossentropy',\n metrics=['acc'])\n history = self.model.fit(train_generator, epochs=epochs,\n validation_data=test_generator)\n if save_model:\n self.model.save('model.h5')\n if save_history:\n with open('result.pk', 'wb') as f:\n pickle.dump(history.history, f)\n self.last_training_history = history.history\n return history.history\n\n def predict_directory(self, directory, probabilities=True):\n if directory[-1] != '\\\\' and directory[-1] != '/':\n directory += '/'\n predictions = {}\n onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.\n path.join(directory, f))]\n for image_file in onlyfiles:\n img = tf.keras.preprocessing.image.load_img(directory +\n image_file, target_size=(150, 150), color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img)\n x = x.reshape((1,) + x.shape)\n x = x / 255\n y = self.model.predict(x)[0][0]\n if probabilities:\n predictions[image_file] = y\n else:\n predictions[image_file] = y > 0.5\n return predictions\n\n def predict_single_image(self, file_url):\n self.load_weights()\n self.load_last_training_history()\n file_name = 'image.jpg'\n urllib.request.urlretrieve(file_url, file_name)\n img = tf.keras.preprocessing.image.load_img(file_name, target_size=\n (150, 150), color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img)\n x = x.reshape((1,) + x.shape)\n x = x / 255\n prediction = self.model.predict(x)[0][0]\n is_default_image = prediction < 0.5\n print(prediction)\n os.remove(file_name)\n return json.dumps(True) if is_default_image else json.dumps(False)\n\n\n<mask token>\n\n\ndef split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):\n assert train_size + test_size + val_size == 1\n assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1\n subdirs = next(os.walk(directory))[1]\n if train_size > 0:\n os.mkdir(directory + '/train')\n for subdir in subdirs:\n os.mkdir(directory + '/train/' + subdir)\n if test_size > 0:\n os.mkdir(directory + '/test')\n for subdir in subdirs:\n os.mkdir(directory + '/test/' + subdir)\n if val_size > 0:\n os.mkdir(directory + '/val')\n for subdir in subdirs:\n os.mkdir(directory + '/val/' + subdir)\n pathlist = Path(directory).rglob('*.*')\n for path in pathlist:\n instance_path = str(path)\n instance_properties = instance_path.split('/'\n ) if '/' in instance_path else instance_path.split('\\\\')\n instance_name = instance_properties[-1]\n instance_class = instance_properties[-2]\n r = random.random()\n if r < val_size:\n subfolder = '/val/'\n elif r < test_size + val_size:\n subfolder = '/test/'\n else:\n subfolder = '/train/'\n os.rename(instance_path, '/'.join(instance_properties[:-2]) +\n subfolder + instance_class + '/' + instance_name)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass CNN(object):\n\n def __init__(self):\n self.model = tf.keras.Sequential([tf.keras.layers.Conv2D(32, (3, 3),\n activation='relu', input_shape=(150, 150, 1)), tf.keras.layers.\n MaxPool2D((2, 2)), tf.keras.layers.Conv2D(64, (3, 3),\n activation='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.\n layers.Conv2D(128, (3, 3), activation='relu'), tf.keras.layers.\n MaxPool2D(2, 2), tf.keras.layers.Conv2D(128, (3, 3), activation\n ='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.layers.\n Flatten(), tf.keras.layers.Dropout(0.5), tf.keras.layers.Dense(\n 512, activation='relu'), tf.keras.layers.Dense(1, activation=\n 'sigmoid')])\n self.last_training_history = {}\n\n def print_model_info(self):\n print(self.model.summary())\n\n def get_model(self):\n return self.model\n\n def load_weights(self, filepath='model.h5'):\n self.model.load_weights(filepath)\n self.model.compile(optimizer='adam', loss='binary_crossentropy',\n metrics=['acc'])\n\n def load_last_training_history(self, filepath='result.pk'):\n with open(filepath, 'rb') as f:\n self.last_training_history = pickle.load(f)\n\n def get_last_training_history(self):\n return self.last_training_history\n\n def plot_last_training_history(self, save_plot=False):\n for key in self.last_training_history:\n y = self.last_training_history[key]\n plt.plot([(i + 1) for i in range(len(y))], y, label=key)\n plt.legend()\n plt.grid()\n plt.xlabel('epoch')\n if save_plot:\n plt.savefig('training_history.png', dpi=300)\n else:\n plt.show()\n\n def train(self, directory, epochs=100, save_model=False, save_history=False\n ):\n train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale\n =1.0 / 255, rotation_range=20, width_shift_range=0.15,\n height_shift_range=0.15, shear_range=0.15, zoom_range=0.15,\n fill_mode='nearest', horizontal_flip=True, vertical_flip=False,\n brightness_range=None, channel_shift_range=0)\n test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale\n =1.0 / 255)\n train_generator = train_datagen.flow_from_directory(directory,\n target_size=(150, 150), batch_size=32, color_mode='grayscale',\n class_mode='binary')\n test_generator = test_datagen.flow_from_directory(directory,\n target_size=(150, 150), batch_size=32, color_mode='grayscale',\n class_mode='binary')\n self.model.compile(optimizer='adam', loss='binary_crossentropy',\n metrics=['acc'])\n history = self.model.fit(train_generator, epochs=epochs,\n validation_data=test_generator)\n if save_model:\n self.model.save('model.h5')\n if save_history:\n with open('result.pk', 'wb') as f:\n pickle.dump(history.history, f)\n self.last_training_history = history.history\n return history.history\n\n def predict_directory(self, directory, probabilities=True):\n if directory[-1] != '\\\\' and directory[-1] != '/':\n directory += '/'\n predictions = {}\n onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.\n path.join(directory, f))]\n for image_file in onlyfiles:\n img = tf.keras.preprocessing.image.load_img(directory +\n image_file, target_size=(150, 150), color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img)\n x = x.reshape((1,) + x.shape)\n x = x / 255\n y = self.model.predict(x)[0][0]\n if probabilities:\n predictions[image_file] = y\n else:\n predictions[image_file] = y > 0.5\n return predictions\n\n def predict_single_image(self, file_url):\n self.load_weights()\n self.load_last_training_history()\n file_name = 'image.jpg'\n urllib.request.urlretrieve(file_url, file_name)\n img = tf.keras.preprocessing.image.load_img(file_name, target_size=\n (150, 150), color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img)\n x = x.reshape((1,) + x.shape)\n x = x / 255\n prediction = self.model.predict(x)[0][0]\n is_default_image = prediction < 0.5\n print(prediction)\n os.remove(file_name)\n return json.dumps(True) if is_default_image else json.dumps(False)\n\n\ndef evaluate_on_directory(self, directory):\n val_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=\n 1.0 / 255)\n val_generator = val_datagen.flow_from_directory(directory, target_size=\n (150, 150), batch_size=32, color_mode='grayscale', class_mode='binary')\n return self.model.evaluate(val_generator)\n\n\ndef split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):\n assert train_size + test_size + val_size == 1\n assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1\n subdirs = next(os.walk(directory))[1]\n if train_size > 0:\n os.mkdir(directory + '/train')\n for subdir in subdirs:\n os.mkdir(directory + '/train/' + subdir)\n if test_size > 0:\n os.mkdir(directory + '/test')\n for subdir in subdirs:\n os.mkdir(directory + '/test/' + subdir)\n if val_size > 0:\n os.mkdir(directory + '/val')\n for subdir in subdirs:\n os.mkdir(directory + '/val/' + subdir)\n pathlist = Path(directory).rglob('*.*')\n for path in pathlist:\n instance_path = str(path)\n instance_properties = instance_path.split('/'\n ) if '/' in instance_path else instance_path.split('\\\\')\n instance_name = instance_properties[-1]\n instance_class = instance_properties[-2]\n r = random.random()\n if r < val_size:\n subfolder = '/val/'\n elif r < test_size + val_size:\n subfolder = '/test/'\n else:\n subfolder = '/train/'\n os.rename(instance_path, '/'.join(instance_properties[:-2]) +\n subfolder + instance_class + '/' + instance_name)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass CNN(object):\n\n def __init__(self):\n self.model = tf.keras.Sequential([tf.keras.layers.Conv2D(32, (3, 3),\n activation='relu', input_shape=(150, 150, 1)), tf.keras.layers.\n MaxPool2D((2, 2)), tf.keras.layers.Conv2D(64, (3, 3),\n activation='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.\n layers.Conv2D(128, (3, 3), activation='relu'), tf.keras.layers.\n MaxPool2D(2, 2), tf.keras.layers.Conv2D(128, (3, 3), activation\n ='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.layers.\n Flatten(), tf.keras.layers.Dropout(0.5), tf.keras.layers.Dense(\n 512, activation='relu'), tf.keras.layers.Dense(1, activation=\n 'sigmoid')])\n self.last_training_history = {}\n\n def print_model_info(self):\n print(self.model.summary())\n\n def get_model(self):\n return self.model\n\n def load_weights(self, filepath='model.h5'):\n self.model.load_weights(filepath)\n self.model.compile(optimizer='adam', loss='binary_crossentropy',\n metrics=['acc'])\n\n def load_last_training_history(self, filepath='result.pk'):\n with open(filepath, 'rb') as f:\n self.last_training_history = pickle.load(f)\n\n def get_last_training_history(self):\n return self.last_training_history\n\n def plot_last_training_history(self, save_plot=False):\n for key in self.last_training_history:\n y = self.last_training_history[key]\n plt.plot([(i + 1) for i in range(len(y))], y, label=key)\n plt.legend()\n plt.grid()\n plt.xlabel('epoch')\n if save_plot:\n plt.savefig('training_history.png', dpi=300)\n else:\n plt.show()\n\n def train(self, directory, epochs=100, save_model=False, save_history=False\n ):\n train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale\n =1.0 / 255, rotation_range=20, width_shift_range=0.15,\n height_shift_range=0.15, shear_range=0.15, zoom_range=0.15,\n fill_mode='nearest', horizontal_flip=True, vertical_flip=False,\n brightness_range=None, channel_shift_range=0)\n test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale\n =1.0 / 255)\n train_generator = train_datagen.flow_from_directory(directory,\n target_size=(150, 150), batch_size=32, color_mode='grayscale',\n class_mode='binary')\n test_generator = test_datagen.flow_from_directory(directory,\n target_size=(150, 150), batch_size=32, color_mode='grayscale',\n class_mode='binary')\n self.model.compile(optimizer='adam', loss='binary_crossentropy',\n metrics=['acc'])\n history = self.model.fit(train_generator, epochs=epochs,\n validation_data=test_generator)\n if save_model:\n self.model.save('model.h5')\n if save_history:\n with open('result.pk', 'wb') as f:\n pickle.dump(history.history, f)\n self.last_training_history = history.history\n return history.history\n\n def predict_directory(self, directory, probabilities=True):\n if directory[-1] != '\\\\' and directory[-1] != '/':\n directory += '/'\n predictions = {}\n onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.\n path.join(directory, f))]\n for image_file in onlyfiles:\n img = tf.keras.preprocessing.image.load_img(directory +\n image_file, target_size=(150, 150), color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img)\n x = x.reshape((1,) + x.shape)\n x = x / 255\n y = self.model.predict(x)[0][0]\n if probabilities:\n predictions[image_file] = y\n else:\n predictions[image_file] = y > 0.5\n return predictions\n\n def predict_single_image(self, file_url):\n self.load_weights()\n self.load_last_training_history()\n file_name = 'image.jpg'\n urllib.request.urlretrieve(file_url, file_name)\n img = tf.keras.preprocessing.image.load_img(file_name, target_size=\n (150, 150), color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img)\n x = x.reshape((1,) + x.shape)\n x = x / 255\n prediction = self.model.predict(x)[0][0]\n is_default_image = prediction < 0.5\n print(prediction)\n os.remove(file_name)\n return json.dumps(True) if is_default_image else json.dumps(False)\n\n\ndef evaluate_on_directory(self, directory):\n val_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=\n 1.0 / 255)\n val_generator = val_datagen.flow_from_directory(directory, target_size=\n (150, 150), batch_size=32, color_mode='grayscale', class_mode='binary')\n return self.model.evaluate(val_generator)\n\n\ndef split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):\n assert train_size + test_size + val_size == 1\n assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1\n subdirs = next(os.walk(directory))[1]\n if train_size > 0:\n os.mkdir(directory + '/train')\n for subdir in subdirs:\n os.mkdir(directory + '/train/' + subdir)\n if test_size > 0:\n os.mkdir(directory + '/test')\n for subdir in subdirs:\n os.mkdir(directory + '/test/' + subdir)\n if val_size > 0:\n os.mkdir(directory + '/val')\n for subdir in subdirs:\n os.mkdir(directory + '/val/' + subdir)\n pathlist = Path(directory).rglob('*.*')\n for path in pathlist:\n instance_path = str(path)\n instance_properties = instance_path.split('/'\n ) if '/' in instance_path else instance_path.split('\\\\')\n instance_name = instance_properties[-1]\n instance_class = instance_properties[-2]\n r = random.random()\n if r < val_size:\n subfolder = '/val/'\n elif r < test_size + val_size:\n subfolder = '/test/'\n else:\n subfolder = '/train/'\n os.rename(instance_path, '/'.join(instance_properties[:-2]) +\n subfolder + instance_class + '/' + instance_name)\n\n\nif __name__ == '__main__':\n cnn = CNN()\n cnn.load_weights()\n cnn.load_last_training_history()\n cnn.print_model_info()\n",
"step-4": "import json\nimport os\nimport pickle\nimport random\nimport urllib.request\nfrom pathlib import Path\nimport tensorflow as tf\nfrom matplotlib import pyplot as plt\n\n\nclass CNN(object):\n\n def __init__(self):\n self.model = tf.keras.Sequential([tf.keras.layers.Conv2D(32, (3, 3),\n activation='relu', input_shape=(150, 150, 1)), tf.keras.layers.\n MaxPool2D((2, 2)), tf.keras.layers.Conv2D(64, (3, 3),\n activation='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.\n layers.Conv2D(128, (3, 3), activation='relu'), tf.keras.layers.\n MaxPool2D(2, 2), tf.keras.layers.Conv2D(128, (3, 3), activation\n ='relu'), tf.keras.layers.MaxPool2D(2, 2), tf.keras.layers.\n Flatten(), tf.keras.layers.Dropout(0.5), tf.keras.layers.Dense(\n 512, activation='relu'), tf.keras.layers.Dense(1, activation=\n 'sigmoid')])\n self.last_training_history = {}\n\n def print_model_info(self):\n print(self.model.summary())\n\n def get_model(self):\n return self.model\n\n def load_weights(self, filepath='model.h5'):\n self.model.load_weights(filepath)\n self.model.compile(optimizer='adam', loss='binary_crossentropy',\n metrics=['acc'])\n\n def load_last_training_history(self, filepath='result.pk'):\n with open(filepath, 'rb') as f:\n self.last_training_history = pickle.load(f)\n\n def get_last_training_history(self):\n return self.last_training_history\n\n def plot_last_training_history(self, save_plot=False):\n for key in self.last_training_history:\n y = self.last_training_history[key]\n plt.plot([(i + 1) for i in range(len(y))], y, label=key)\n plt.legend()\n plt.grid()\n plt.xlabel('epoch')\n if save_plot:\n plt.savefig('training_history.png', dpi=300)\n else:\n plt.show()\n\n def train(self, directory, epochs=100, save_model=False, save_history=False\n ):\n train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale\n =1.0 / 255, rotation_range=20, width_shift_range=0.15,\n height_shift_range=0.15, shear_range=0.15, zoom_range=0.15,\n fill_mode='nearest', horizontal_flip=True, vertical_flip=False,\n brightness_range=None, channel_shift_range=0)\n test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale\n =1.0 / 255)\n train_generator = train_datagen.flow_from_directory(directory,\n target_size=(150, 150), batch_size=32, color_mode='grayscale',\n class_mode='binary')\n test_generator = test_datagen.flow_from_directory(directory,\n target_size=(150, 150), batch_size=32, color_mode='grayscale',\n class_mode='binary')\n self.model.compile(optimizer='adam', loss='binary_crossentropy',\n metrics=['acc'])\n history = self.model.fit(train_generator, epochs=epochs,\n validation_data=test_generator)\n if save_model:\n self.model.save('model.h5')\n if save_history:\n with open('result.pk', 'wb') as f:\n pickle.dump(history.history, f)\n self.last_training_history = history.history\n return history.history\n\n def predict_directory(self, directory, probabilities=True):\n if directory[-1] != '\\\\' and directory[-1] != '/':\n directory += '/'\n predictions = {}\n onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.\n path.join(directory, f))]\n for image_file in onlyfiles:\n img = tf.keras.preprocessing.image.load_img(directory +\n image_file, target_size=(150, 150), color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img)\n x = x.reshape((1,) + x.shape)\n x = x / 255\n y = self.model.predict(x)[0][0]\n if probabilities:\n predictions[image_file] = y\n else:\n predictions[image_file] = y > 0.5\n return predictions\n\n def predict_single_image(self, file_url):\n self.load_weights()\n self.load_last_training_history()\n file_name = 'image.jpg'\n urllib.request.urlretrieve(file_url, file_name)\n img = tf.keras.preprocessing.image.load_img(file_name, target_size=\n (150, 150), color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img)\n x = x.reshape((1,) + x.shape)\n x = x / 255\n prediction = self.model.predict(x)[0][0]\n is_default_image = prediction < 0.5\n print(prediction)\n os.remove(file_name)\n return json.dumps(True) if is_default_image else json.dumps(False)\n\n\ndef evaluate_on_directory(self, directory):\n val_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=\n 1.0 / 255)\n val_generator = val_datagen.flow_from_directory(directory, target_size=\n (150, 150), batch_size=32, color_mode='grayscale', class_mode='binary')\n return self.model.evaluate(val_generator)\n\n\ndef split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):\n assert train_size + test_size + val_size == 1\n assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1\n subdirs = next(os.walk(directory))[1]\n if train_size > 0:\n os.mkdir(directory + '/train')\n for subdir in subdirs:\n os.mkdir(directory + '/train/' + subdir)\n if test_size > 0:\n os.mkdir(directory + '/test')\n for subdir in subdirs:\n os.mkdir(directory + '/test/' + subdir)\n if val_size > 0:\n os.mkdir(directory + '/val')\n for subdir in subdirs:\n os.mkdir(directory + '/val/' + subdir)\n pathlist = Path(directory).rglob('*.*')\n for path in pathlist:\n instance_path = str(path)\n instance_properties = instance_path.split('/'\n ) if '/' in instance_path else instance_path.split('\\\\')\n instance_name = instance_properties[-1]\n instance_class = instance_properties[-2]\n r = random.random()\n if r < val_size:\n subfolder = '/val/'\n elif r < test_size + val_size:\n subfolder = '/test/'\n else:\n subfolder = '/train/'\n os.rename(instance_path, '/'.join(instance_properties[:-2]) +\n subfolder + instance_class + '/' + instance_name)\n\n\nif __name__ == '__main__':\n cnn = CNN()\n cnn.load_weights()\n cnn.load_last_training_history()\n cnn.print_model_info()\n",
"step-5": "import json\nimport os\nimport pickle\nimport random\nimport urllib.request\nfrom pathlib import Path\n\nimport tensorflow as tf\nfrom matplotlib import pyplot as plt\n\n\nclass CNN(object):\n\n def __init__(self):\n self.model = tf.keras.Sequential([\n tf.keras.layers.Conv2D(32, (3, 3), activation='relu', input_shape=(150, 150, 1)),\n tf.keras.layers.MaxPool2D((2, 2)),\n tf.keras.layers.Conv2D(64, (3, 3), activation='relu'),\n tf.keras.layers.MaxPool2D(2, 2),\n tf.keras.layers.Conv2D(128, (3, 3), activation='relu'),\n tf.keras.layers.MaxPool2D(2, 2),\n tf.keras.layers.Conv2D(128, (3, 3), activation='relu'),\n tf.keras.layers.MaxPool2D(2, 2),\n tf.keras.layers.Flatten(),\n tf.keras.layers.Dropout(0.5),\n tf.keras.layers.Dense(512, activation='relu'),\n tf.keras.layers.Dense(1, activation='sigmoid')\n ])\n self.last_training_history = {}\n\n def print_model_info(self):\n print(self.model.summary())\n\n def get_model(self):\n return self.model\n\n def load_weights(self, filepath='model.h5'):\n self.model.load_weights(filepath)\n self.model.compile(\n optimizer='adam',\n loss='binary_crossentropy',\n metrics=['acc']\n )\n\n def load_last_training_history(self, filepath='result.pk'):\n with open(filepath, 'rb') as f:\n self.last_training_history = pickle.load(f)\n\n def get_last_training_history(self):\n return self.last_training_history\n\n def plot_last_training_history(self, save_plot=False):\n for key in self.last_training_history:\n y = self.last_training_history[key]\n plt.plot([i + 1 for i in range(len(y))], y, label=key)\n plt.legend()\n plt.grid()\n plt.xlabel('epoch')\n if save_plot:\n plt.savefig('training_history.png', dpi=300)\n else:\n plt.show()\n\n def train(self, directory, epochs=100, save_model=False, save_history=False):\n train_datagen = tf.keras.preprocessing.image.ImageDataGenerator(\n rescale=1. / 255,\n rotation_range=20,\n width_shift_range=0.15,\n height_shift_range=0.15,\n shear_range=0.15,\n zoom_range=0.15,\n fill_mode='nearest',\n horizontal_flip=True,\n vertical_flip=False,\n brightness_range=None,\n channel_shift_range=0\n )\n\n test_datagen = tf.keras.preprocessing.image.ImageDataGenerator(\n rescale=1. / 255) \n\n train_generator = train_datagen.flow_from_directory(\n directory,\n target_size=(150, 150),\n batch_size=32,\n color_mode='grayscale',\n class_mode='binary'\n )\n\n test_generator = test_datagen.flow_from_directory(\n directory,\n target_size=(150, 150),\n batch_size=32,\n color_mode='grayscale',\n class_mode='binary'\n )\n\n self.model.compile(\n optimizer='adam',\n loss='binary_crossentropy',\n metrics=['acc']\n )\n\n history = self.model.fit(\n train_generator,\n epochs=epochs,\n validation_data=test_generator\n )\n\n if save_model:\n self.model.save('model.h5')\n\n if save_history:\n with open('result.pk', 'wb') as f:\n pickle.dump(history.history, f)\n\n self.last_training_history = history.history\n\n return history.history\n\n def predict_directory(self, directory, probabilities=True):\n if directory[-1] != '\\\\' and directory[-1] != '/':\n directory += '/'\n predictions = {}\n onlyfiles = [f for f in os.listdir(directory) if os.path.isfile(os.path.join(directory, f))]\n for image_file in onlyfiles:\n img = tf.keras.preprocessing.image.load_img(directory + image_file, target_size=(150, 150),\n color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img, )\n x = x.reshape((1,) + x.shape)\n x = x / 255\n y = self.model.predict(x)[0][0]\n if probabilities:\n predictions[image_file] = y\n else:\n predictions[image_file] = y > 0.5\n return predictions\n\n def predict_single_image(self, file_url):\n self.load_weights()\n self.load_last_training_history()\n file_name = \"image.jpg\"\n urllib.request.urlretrieve(file_url, file_name)\n img = tf.keras.preprocessing.image.load_img(file_name, target_size=(150, 150),\n color_mode='grayscale')\n x = tf.keras.preprocessing.image.img_to_array(img, )\n x = x.reshape((1,) + x.shape)\n x = x / 255\n prediction = self.model.predict(x)[0][0]\n is_default_image = prediction < 0.5\n print(prediction)\n os.remove(file_name)\n\n return json.dumps(True) if is_default_image else json.dumps(False)\n\n\ndef evaluate_on_directory(self, directory):\n val_datagen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=1. / 255)\n val_generator = val_datagen.flow_from_directory(\n directory,\n target_size=(150, 150),\n batch_size=32,\n color_mode='grayscale',\n class_mode='binary'\n )\n return self.model.evaluate(val_generator)\n\n\ndef split_directory(directory, train_size=0.75, test_size=0.2, val_size=0.05):\n assert train_size + test_size + val_size == 1\n assert 0 <= train_size <= 1 and 0 <= test_size <= 1 and 0 <= val_size <= 1\n subdirs = next(os.walk(directory))[1]\n if train_size > 0:\n os.mkdir(directory + '/train')\n for subdir in subdirs:\n os.mkdir(directory + '/train/' + subdir)\n if test_size > 0:\n os.mkdir(directory + '/test')\n for subdir in subdirs:\n os.mkdir(directory + '/test/' + subdir)\n if val_size > 0:\n os.mkdir(directory + '/val')\n for subdir in subdirs:\n os.mkdir(directory + '/val/' + subdir)\n pathlist = Path(directory).rglob('*.*')\n for path in pathlist:\n instance_path = str(path)\n instance_properties = instance_path.split('/') if '/' in instance_path else instance_path.split('\\\\')\n instance_name = instance_properties[-1]\n instance_class = instance_properties[-2]\n r = random.random()\n if r < val_size:\n subfolder = '/val/'\n elif r < test_size + val_size:\n subfolder = '/test/'\n else:\n subfolder = '/train/'\n os.rename(instance_path, '/'.join(instance_properties[:-2]) + subfolder + instance_class + '/' + instance_name)\n\n\nif __name__ == '__main__':\n\n cnn = CNN()\n cnn.load_weights()\n cnn.load_last_training_history()\n cnn.print_model_info()\n",
"step-ids": [
12,
13,
14,
15,
16
]
}
|
[
12,
13,
14,
15,
16
] |
a=int(input())
s=0
t=0
while(a!=0):
t=a%10
s=s+t
a=a//10
print(s)
|
normal
|
{
"blob_id": "6050e83e73faaf40cbd5455efd3ad01e4e131188",
"index": 2587,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nwhile a != 0:\n t = a % 10\n s = s + t\n a = a // 10\nprint(s)\n",
"step-3": "a = int(input())\ns = 0\nt = 0\nwhile a != 0:\n t = a % 10\n s = s + t\n a = a // 10\nprint(s)\n",
"step-4": "a=int(input())\ns=0\nt=0\nwhile(a!=0):\n t=a%10\n s=s+t\n a=a//10\nprint(s)\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
print(type(data))
<|reserved_special_token_0|>
print(data)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
url = 'http://icanhazdadjoke.com/'
response = requests.get(url, headers={'Accept': 'application/json'})
data = response.text
print(type(data))
data = response.json()
print(data)
<|reserved_special_token_1|>
import requests
url = 'http://icanhazdadjoke.com/'
response = requests.get(url, headers={'Accept': 'application/json'})
data = response.text
print(type(data))
data = response.json()
print(data)
<|reserved_special_token_1|>
import requests
# url="http://www.google.com"
# response=requests.get(url)
# print(response.status_code)
url = "http://icanhazdadjoke.com/"
response = requests.get(url, headers={"Accept": "application/json"})
data = response.text
print(type(data))
data = response.json()
print(data)
|
flexible
|
{
"blob_id": "f94894e5d3e6a0ff367911c72f4d863ac32c8baa",
"index": 1435,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(type(data))\n<mask token>\nprint(data)\n",
"step-3": "<mask token>\nurl = 'http://icanhazdadjoke.com/'\nresponse = requests.get(url, headers={'Accept': 'application/json'})\ndata = response.text\nprint(type(data))\ndata = response.json()\nprint(data)\n",
"step-4": "import requests\nurl = 'http://icanhazdadjoke.com/'\nresponse = requests.get(url, headers={'Accept': 'application/json'})\ndata = response.text\nprint(type(data))\ndata = response.json()\nprint(data)\n",
"step-5": "import requests\n\n# url=\"http://www.google.com\"\n# response=requests.get(url)\n# print(response.status_code)\n\n\nurl = \"http://icanhazdadjoke.com/\"\nresponse = requests.get(url, headers={\"Accept\": \"application/json\"})\ndata = response.text\nprint(type(data))\ndata = response.json()\nprint(data)\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def segment_ts():
ts_len = len(x1)
mod = ts_len % window_size
rnge = 0
if skip_offset == 0:
ts_len = int((ts_len - mod - window_size) / 1)
rnge = int(ts_len / window_size)
else:
ts_len = int(math.ceil((ts_len - window_size) / skip_offset))
rnge = int(ts_len)
curr_count = 0
words = list()
indices = list()
complete_indices = list()
for i in range(0, rnge):
sub_section = x1[curr_count:curr_count + window_size]
sub_section = normalize(sub_section)
curr_word = ''
chunk_size = int(len(sub_section) / word_lenth)
num = 0
curr_letter = ''
for j in range(0, word_lenth):
chunk = sub_section[num:num + chunk_size]
curr_letter = alphabetize_ts(chunk)
curr_word += str(curr_letter)
complete_indices.append(curr_count)
num += chunk_size
words.append(curr_word)
indices.append(curr_count)
temp_list = []
temp_list.append(sub_section)
temp_df = pd.DataFrame()
temp_df.insert(loc=0, column='sub_section', value=temp_list)
temp_df.insert(loc=0, column='keys', value=curr_word)
temp_df.insert(loc=0, column='position', value=sorted(sub_section)[
len(sub_section) // 2])
temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))
temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))
temp_df.insert(loc=0, column='indices', value=curr_count)
curr_count = curr_count + skip_offset - 1
if i == 0:
df_sax = temp_df.copy()
else:
df_sax = df_sax.append(temp_df, ignore_index=True)
return words, indices, df_sax
<|reserved_special_token_0|>
def complete_word():
complete_word = list()
complete_indices = indices
""" Simillar Words """
complete_word = alphabetize
sax = defaultdict(list)
for i in range(0, len(complete_word)):
if len(complete_word[i]) == word_lenth:
sax[complete_word[i]].append(complete_indices[i])
return sax
def Compare_Shape():
simillar_word = complete_word()
map_keys = defaultdict(list)
map_indices = defaultdict(list)
for key_i in simillar_word:
temp_list = list()
temp_list.append(simillar_word.get(key_i))
map_keys[key_i].append(key_i)
for key_j in simillar_word:
dist = hamming_distance(key_i, key_j)
if dist == ham_distance and key_i != key_j:
map_keys[key_i].append(key_j)
temp_list.append(simillar_word.get(key_j))
else:
map_keys[key_i].append([])
tempp = list(itertools.chain(*temp_list))
map_indices[key_i].append(tempp)
return map_keys, map_indices
<|reserved_special_token_0|>
def dtw_test2():
df_dtw_prep = df_sax
dtw_df = pd.DataFrame()
for k, v in compare_list.items():
v_temp = str(v)[2:-2]
v1 = [int(s) for s in v_temp.split(',')]
for i in range(0, len(v1) - 1):
for j in range(i, len(v1)):
if v1[i] != v1[j]:
row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]
row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]
sub_section1 = row1.iloc[0]['sub_section']
sub_section2 = row2.iloc[0]['sub_section']
index1 = row1.iloc[0]['indices']
index2 = row2.iloc[0]['indices']
x = np.array(sub_section1).reshape(-1, 1)
y = np.array(sub_section2).reshape(-1, 1)
euclidean_norm = lambda x, y: np.abs(x - y)
dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x,
y, dist=euclidean_norm)
temp_df = pd.DataFrame([[k, index1, index2,
sub_section1, sub_section2, dtw_value]], columns=[
'keyy', 'index1', 'index2', 'sub_section1',
'sub_section2', 'dtw_value'])
dtw_df = dtw_df.append(temp_df, ignore_index=True)
return dtw_df
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def segment_ts():
ts_len = len(x1)
mod = ts_len % window_size
rnge = 0
if skip_offset == 0:
ts_len = int((ts_len - mod - window_size) / 1)
rnge = int(ts_len / window_size)
else:
ts_len = int(math.ceil((ts_len - window_size) / skip_offset))
rnge = int(ts_len)
curr_count = 0
words = list()
indices = list()
complete_indices = list()
for i in range(0, rnge):
sub_section = x1[curr_count:curr_count + window_size]
sub_section = normalize(sub_section)
curr_word = ''
chunk_size = int(len(sub_section) / word_lenth)
num = 0
curr_letter = ''
for j in range(0, word_lenth):
chunk = sub_section[num:num + chunk_size]
curr_letter = alphabetize_ts(chunk)
curr_word += str(curr_letter)
complete_indices.append(curr_count)
num += chunk_size
words.append(curr_word)
indices.append(curr_count)
temp_list = []
temp_list.append(sub_section)
temp_df = pd.DataFrame()
temp_df.insert(loc=0, column='sub_section', value=temp_list)
temp_df.insert(loc=0, column='keys', value=curr_word)
temp_df.insert(loc=0, column='position', value=sorted(sub_section)[
len(sub_section) // 2])
temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))
temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))
temp_df.insert(loc=0, column='indices', value=curr_count)
curr_count = curr_count + skip_offset - 1
if i == 0:
df_sax = temp_df.copy()
else:
df_sax = df_sax.append(temp_df, ignore_index=True)
return words, indices, df_sax
<|reserved_special_token_0|>
def complete_word():
complete_word = list()
complete_indices = indices
""" Simillar Words """
complete_word = alphabetize
sax = defaultdict(list)
for i in range(0, len(complete_word)):
if len(complete_word[i]) == word_lenth:
sax[complete_word[i]].append(complete_indices[i])
return sax
def Compare_Shape():
simillar_word = complete_word()
map_keys = defaultdict(list)
map_indices = defaultdict(list)
for key_i in simillar_word:
temp_list = list()
temp_list.append(simillar_word.get(key_i))
map_keys[key_i].append(key_i)
for key_j in simillar_word:
dist = hamming_distance(key_i, key_j)
if dist == ham_distance and key_i != key_j:
map_keys[key_i].append(key_j)
temp_list.append(simillar_word.get(key_j))
else:
map_keys[key_i].append([])
tempp = list(itertools.chain(*temp_list))
map_indices[key_i].append(tempp)
return map_keys, map_indices
<|reserved_special_token_0|>
def dtw_test2():
df_dtw_prep = df_sax
dtw_df = pd.DataFrame()
for k, v in compare_list.items():
v_temp = str(v)[2:-2]
v1 = [int(s) for s in v_temp.split(',')]
for i in range(0, len(v1) - 1):
for j in range(i, len(v1)):
if v1[i] != v1[j]:
row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]
row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]
sub_section1 = row1.iloc[0]['sub_section']
sub_section2 = row2.iloc[0]['sub_section']
index1 = row1.iloc[0]['indices']
index2 = row2.iloc[0]['indices']
x = np.array(sub_section1).reshape(-1, 1)
y = np.array(sub_section2).reshape(-1, 1)
euclidean_norm = lambda x, y: np.abs(x - y)
dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x,
y, dist=euclidean_norm)
temp_df = pd.DataFrame([[k, index1, index2,
sub_section1, sub_section2, dtw_value]], columns=[
'keyy', 'index1', 'index2', 'sub_section1',
'sub_section2', 'dtw_value'])
dtw_df = dtw_df.append(temp_df, ignore_index=True)
return dtw_df
<|reserved_special_token_0|>
print('Time: ', stop - start)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
start = timeit.default_timer()
data = pd.read_csv('test_data2.csv', sep=',', header=None)
x1 = data.iloc[1:, 1].values.flatten()
x1 = np.asfarray(x1, float)
y_alphabet_size = 4
word_lenth = 3
window_size = round(len(x1) * 10 / 100)
skip_offset = round(window_size / 2)
ham_distance = 1
epsilon = 1e-06
def segment_ts():
ts_len = len(x1)
mod = ts_len % window_size
rnge = 0
if skip_offset == 0:
ts_len = int((ts_len - mod - window_size) / 1)
rnge = int(ts_len / window_size)
else:
ts_len = int(math.ceil((ts_len - window_size) / skip_offset))
rnge = int(ts_len)
curr_count = 0
words = list()
indices = list()
complete_indices = list()
for i in range(0, rnge):
sub_section = x1[curr_count:curr_count + window_size]
sub_section = normalize(sub_section)
curr_word = ''
chunk_size = int(len(sub_section) / word_lenth)
num = 0
curr_letter = ''
for j in range(0, word_lenth):
chunk = sub_section[num:num + chunk_size]
curr_letter = alphabetize_ts(chunk)
curr_word += str(curr_letter)
complete_indices.append(curr_count)
num += chunk_size
words.append(curr_word)
indices.append(curr_count)
temp_list = []
temp_list.append(sub_section)
temp_df = pd.DataFrame()
temp_df.insert(loc=0, column='sub_section', value=temp_list)
temp_df.insert(loc=0, column='keys', value=curr_word)
temp_df.insert(loc=0, column='position', value=sorted(sub_section)[
len(sub_section) // 2])
temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))
temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))
temp_df.insert(loc=0, column='indices', value=curr_count)
curr_count = curr_count + skip_offset - 1
if i == 0:
df_sax = temp_df.copy()
else:
df_sax = df_sax.append(temp_df, ignore_index=True)
return words, indices, df_sax
alphabetize, indices, df_sax = segment_ts()
<|reserved_special_token_0|>
def complete_word():
complete_word = list()
complete_indices = indices
""" Simillar Words """
complete_word = alphabetize
sax = defaultdict(list)
for i in range(0, len(complete_word)):
if len(complete_word[i]) == word_lenth:
sax[complete_word[i]].append(complete_indices[i])
return sax
def Compare_Shape():
simillar_word = complete_word()
map_keys = defaultdict(list)
map_indices = defaultdict(list)
for key_i in simillar_word:
temp_list = list()
temp_list.append(simillar_word.get(key_i))
map_keys[key_i].append(key_i)
for key_j in simillar_word:
dist = hamming_distance(key_i, key_j)
if dist == ham_distance and key_i != key_j:
map_keys[key_i].append(key_j)
temp_list.append(simillar_word.get(key_j))
else:
map_keys[key_i].append([])
tempp = list(itertools.chain(*temp_list))
map_indices[key_i].append(tempp)
return map_keys, map_indices
compare_strings, compare_list = Compare_Shape()
def dtw_test2():
df_dtw_prep = df_sax
dtw_df = pd.DataFrame()
for k, v in compare_list.items():
v_temp = str(v)[2:-2]
v1 = [int(s) for s in v_temp.split(',')]
for i in range(0, len(v1) - 1):
for j in range(i, len(v1)):
if v1[i] != v1[j]:
row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]
row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]
sub_section1 = row1.iloc[0]['sub_section']
sub_section2 = row2.iloc[0]['sub_section']
index1 = row1.iloc[0]['indices']
index2 = row2.iloc[0]['indices']
x = np.array(sub_section1).reshape(-1, 1)
y = np.array(sub_section2).reshape(-1, 1)
euclidean_norm = lambda x, y: np.abs(x - y)
dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x,
y, dist=euclidean_norm)
temp_df = pd.DataFrame([[k, index1, index2,
sub_section1, sub_section2, dtw_value]], columns=[
'keyy', 'index1', 'index2', 'sub_section1',
'sub_section2', 'dtw_value'])
dtw_df = dtw_df.append(temp_df, ignore_index=True)
return dtw_df
dt_test = dtw_test2()
stop = timeit.default_timer()
print('Time: ', stop - start)
<|reserved_special_token_1|>
<|reserved_special_token_0|>
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from collections import defaultdict
import math
import itertools
from dtw import dtw
import timeit
from helper_functions import normalize, alphabetize_ts, hamming_distance
<|reserved_special_token_0|>
start = timeit.default_timer()
data = pd.read_csv('test_data2.csv', sep=',', header=None)
x1 = data.iloc[1:, 1].values.flatten()
x1 = np.asfarray(x1, float)
y_alphabet_size = 4
word_lenth = 3
window_size = round(len(x1) * 10 / 100)
skip_offset = round(window_size / 2)
ham_distance = 1
epsilon = 1e-06
def segment_ts():
ts_len = len(x1)
mod = ts_len % window_size
rnge = 0
if skip_offset == 0:
ts_len = int((ts_len - mod - window_size) / 1)
rnge = int(ts_len / window_size)
else:
ts_len = int(math.ceil((ts_len - window_size) / skip_offset))
rnge = int(ts_len)
curr_count = 0
words = list()
indices = list()
complete_indices = list()
for i in range(0, rnge):
sub_section = x1[curr_count:curr_count + window_size]
sub_section = normalize(sub_section)
curr_word = ''
chunk_size = int(len(sub_section) / word_lenth)
num = 0
curr_letter = ''
for j in range(0, word_lenth):
chunk = sub_section[num:num + chunk_size]
curr_letter = alphabetize_ts(chunk)
curr_word += str(curr_letter)
complete_indices.append(curr_count)
num += chunk_size
words.append(curr_word)
indices.append(curr_count)
temp_list = []
temp_list.append(sub_section)
temp_df = pd.DataFrame()
temp_df.insert(loc=0, column='sub_section', value=temp_list)
temp_df.insert(loc=0, column='keys', value=curr_word)
temp_df.insert(loc=0, column='position', value=sorted(sub_section)[
len(sub_section) // 2])
temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))
temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))
temp_df.insert(loc=0, column='indices', value=curr_count)
curr_count = curr_count + skip_offset - 1
if i == 0:
df_sax = temp_df.copy()
else:
df_sax = df_sax.append(temp_df, ignore_index=True)
return words, indices, df_sax
alphabetize, indices, df_sax = segment_ts()
<|reserved_special_token_0|>
def complete_word():
complete_word = list()
complete_indices = indices
""" Simillar Words """
complete_word = alphabetize
sax = defaultdict(list)
for i in range(0, len(complete_word)):
if len(complete_word[i]) == word_lenth:
sax[complete_word[i]].append(complete_indices[i])
return sax
def Compare_Shape():
simillar_word = complete_word()
map_keys = defaultdict(list)
map_indices = defaultdict(list)
for key_i in simillar_word:
temp_list = list()
temp_list.append(simillar_word.get(key_i))
map_keys[key_i].append(key_i)
for key_j in simillar_word:
dist = hamming_distance(key_i, key_j)
if dist == ham_distance and key_i != key_j:
map_keys[key_i].append(key_j)
temp_list.append(simillar_word.get(key_j))
else:
map_keys[key_i].append([])
tempp = list(itertools.chain(*temp_list))
map_indices[key_i].append(tempp)
return map_keys, map_indices
compare_strings, compare_list = Compare_Shape()
def dtw_test2():
df_dtw_prep = df_sax
dtw_df = pd.DataFrame()
for k, v in compare_list.items():
v_temp = str(v)[2:-2]
v1 = [int(s) for s in v_temp.split(',')]
for i in range(0, len(v1) - 1):
for j in range(i, len(v1)):
if v1[i] != v1[j]:
row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]
row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]
sub_section1 = row1.iloc[0]['sub_section']
sub_section2 = row2.iloc[0]['sub_section']
index1 = row1.iloc[0]['indices']
index2 = row2.iloc[0]['indices']
x = np.array(sub_section1).reshape(-1, 1)
y = np.array(sub_section2).reshape(-1, 1)
euclidean_norm = lambda x, y: np.abs(x - y)
dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x,
y, dist=euclidean_norm)
temp_df = pd.DataFrame([[k, index1, index2,
sub_section1, sub_section2, dtw_value]], columns=[
'keyy', 'index1', 'index2', 'sub_section1',
'sub_section2', 'dtw_value'])
dtw_df = dtw_df.append(temp_df, ignore_index=True)
return dtw_df
dt_test = dtw_test2()
stop = timeit.default_timer()
print('Time: ', stop - start)
<|reserved_special_token_1|>
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 3 17:16:12 2019
@author: Meagatron
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from collections import defaultdict
import math
import itertools
from dtw import dtw
import timeit
from helper_functions import normalize,alphabetize_ts,hamming_distance
"""------------- Intialization ------------- """
start = timeit.default_timer()
data = pd.read_csv('test_data2.csv', sep=',', header=None)
x1 = data.iloc[1:,1].values.flatten()
x1=np.asfarray(x1,float)
y_alphabet_size=4
word_lenth=3
window_size=round( len(x1) *10 /100 )
skip_offset=round(window_size/2)
ham_distance=1
epsilon = 1e-6
def segment_ts():
ts_len=len(x1)
mod = ts_len%window_size
rnge=0
if(skip_offset==0):
ts_len=int((ts_len-mod-window_size)/1)
rnge=int(ts_len/window_size)
else:
ts_len=int(math.ceil((ts_len-window_size)/skip_offset))
rnge=int(ts_len)
curr_count=0
words=list()
indices=list()
complete_indices=list()
for i in range(0, rnge):
sub_section = x1[curr_count:(curr_count+window_size)]
sub_section=normalize(sub_section)
curr_word=""
chunk_size=int(len(sub_section)/word_lenth)
num=0
curr_letter=""
for j in range(0,word_lenth):
chunk = sub_section[num:num + chunk_size]
curr_letter=alphabetize_ts(chunk)
curr_word+=str(curr_letter)
complete_indices.append(curr_count)
num+=chunk_size
words.append(curr_word)
indices.append(curr_count)
temp_list=[]
temp_list.append(sub_section)
temp_df = pd.DataFrame()
temp_df.insert(loc=0, column='sub_section', value=temp_list)
temp_df.insert(loc=0, column='keys', value=curr_word)
temp_df.insert(loc=0, column='position', value=sorted(sub_section)[len(sub_section) // 2])
temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))
temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))
temp_df.insert(loc=0, column='indices', value=curr_count)
curr_count=curr_count+skip_offset-1
if(i==0):
df_sax =temp_df.copy()
else:
df_sax=df_sax.append(temp_df, ignore_index=True)
return (words,indices,df_sax)
alphabetize,indices,df_sax=segment_ts()
""" Complete Words """
def complete_word():
complete_word=list()
complete_indices=indices
""" Simillar Words """
complete_word=alphabetize
sax = defaultdict(list)
for i in range(0,len(complete_word)):
if(len(complete_word[i])==word_lenth):
sax[complete_word[i]].append(complete_indices[i])
return sax
#alphabetize1,indices1,df_sax=segment_ts()
def Compare_Shape():
simillar_word=complete_word()
map_keys = defaultdict(list)
map_indices=defaultdict(list)
for key_i in simillar_word:
temp_list=list()
temp_list.append(simillar_word.get(key_i))
map_keys[key_i].append(key_i)
for key_j in simillar_word:
dist=hamming_distance(key_i, key_j)
if(dist==ham_distance and key_i !=key_j):
map_keys[key_i].append(key_j)
temp_list.append(simillar_word.get(key_j))
else:
map_keys[key_i].append([])
tempp = list(itertools.chain(*temp_list))
map_indices[key_i].append(tempp)
return (map_keys,map_indices)
compare_strings,compare_list=Compare_Shape()
def dtw_test2 ():
df_dtw_prep=df_sax
dtw_df=pd.DataFrame()
for k, v in compare_list.items():
v_temp=str(v)[2:-2]
v1=[int(s) for s in v_temp.split(',')]
for i in range(0,len(v1)-1):
for j in range(i,len(v1)):
if(v1[i] != v1[j]):
row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]
row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]
sub_section1 = row1.iloc[0]['sub_section']
sub_section2 = row2.iloc[0]['sub_section']
index1 = row1.iloc[0]['indices']
index2 = row2.iloc[0]['indices']
x=np.array(sub_section1).reshape(-1, 1)
y=np.array(sub_section2).reshape(-1, 1)
euclidean_norm = lambda x, y: np.abs(x - y)
dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x, y, dist=euclidean_norm)
temp_df = pd.DataFrame([[k,index1,index2,sub_section1,sub_section2,dtw_value]],
columns=['keyy','index1','index2','sub_section1','sub_section2','dtw_value'])
dtw_df=dtw_df.append(temp_df,ignore_index=True)
return(dtw_df)
dt_test=dtw_test2 ()
stop = timeit.default_timer()
print('Time: ', stop - start)
|
flexible
|
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"blob_id": "16215ee42c4ea284dca0ebb7372fef04c0cc54b9",
"index": 2149,
"step-1": "<mask token>\n\n\ndef segment_ts():\n ts_len = len(x1)\n mod = ts_len % window_size\n rnge = 0\n if skip_offset == 0:\n ts_len = int((ts_len - mod - window_size) / 1)\n rnge = int(ts_len / window_size)\n else:\n ts_len = int(math.ceil((ts_len - window_size) / skip_offset))\n rnge = int(ts_len)\n curr_count = 0\n words = list()\n indices = list()\n complete_indices = list()\n for i in range(0, rnge):\n sub_section = x1[curr_count:curr_count + window_size]\n sub_section = normalize(sub_section)\n curr_word = ''\n chunk_size = int(len(sub_section) / word_lenth)\n num = 0\n curr_letter = ''\n for j in range(0, word_lenth):\n chunk = sub_section[num:num + chunk_size]\n curr_letter = alphabetize_ts(chunk)\n curr_word += str(curr_letter)\n complete_indices.append(curr_count)\n num += chunk_size\n words.append(curr_word)\n indices.append(curr_count)\n temp_list = []\n temp_list.append(sub_section)\n temp_df = pd.DataFrame()\n temp_df.insert(loc=0, column='sub_section', value=temp_list)\n temp_df.insert(loc=0, column='keys', value=curr_word)\n temp_df.insert(loc=0, column='position', value=sorted(sub_section)[\n len(sub_section) // 2])\n temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))\n temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))\n temp_df.insert(loc=0, column='indices', value=curr_count)\n curr_count = curr_count + skip_offset - 1\n if i == 0:\n df_sax = temp_df.copy()\n else:\n df_sax = df_sax.append(temp_df, ignore_index=True)\n return words, indices, df_sax\n\n\n<mask token>\n\n\ndef complete_word():\n complete_word = list()\n complete_indices = indices\n \"\"\" Simillar Words \"\"\"\n complete_word = alphabetize\n sax = defaultdict(list)\n for i in range(0, len(complete_word)):\n if len(complete_word[i]) == word_lenth:\n sax[complete_word[i]].append(complete_indices[i])\n return sax\n\n\ndef Compare_Shape():\n simillar_word = complete_word()\n map_keys = defaultdict(list)\n map_indices = defaultdict(list)\n for key_i in simillar_word:\n temp_list = list()\n temp_list.append(simillar_word.get(key_i))\n map_keys[key_i].append(key_i)\n for key_j in simillar_word:\n dist = hamming_distance(key_i, key_j)\n if dist == ham_distance and key_i != key_j:\n map_keys[key_i].append(key_j)\n temp_list.append(simillar_word.get(key_j))\n else:\n map_keys[key_i].append([])\n tempp = list(itertools.chain(*temp_list))\n map_indices[key_i].append(tempp)\n return map_keys, map_indices\n\n\n<mask token>\n\n\ndef dtw_test2():\n df_dtw_prep = df_sax\n dtw_df = pd.DataFrame()\n for k, v in compare_list.items():\n v_temp = str(v)[2:-2]\n v1 = [int(s) for s in v_temp.split(',')]\n for i in range(0, len(v1) - 1):\n for j in range(i, len(v1)):\n if v1[i] != v1[j]:\n row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]\n row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]\n sub_section1 = row1.iloc[0]['sub_section']\n sub_section2 = row2.iloc[0]['sub_section']\n index1 = row1.iloc[0]['indices']\n index2 = row2.iloc[0]['indices']\n x = np.array(sub_section1).reshape(-1, 1)\n y = np.array(sub_section2).reshape(-1, 1)\n euclidean_norm = lambda x, y: np.abs(x - y)\n dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x,\n y, dist=euclidean_norm)\n temp_df = pd.DataFrame([[k, index1, index2,\n sub_section1, sub_section2, dtw_value]], columns=[\n 'keyy', 'index1', 'index2', 'sub_section1',\n 'sub_section2', 'dtw_value'])\n dtw_df = dtw_df.append(temp_df, ignore_index=True)\n return dtw_df\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef segment_ts():\n ts_len = len(x1)\n mod = ts_len % window_size\n rnge = 0\n if skip_offset == 0:\n ts_len = int((ts_len - mod - window_size) / 1)\n rnge = int(ts_len / window_size)\n else:\n ts_len = int(math.ceil((ts_len - window_size) / skip_offset))\n rnge = int(ts_len)\n curr_count = 0\n words = list()\n indices = list()\n complete_indices = list()\n for i in range(0, rnge):\n sub_section = x1[curr_count:curr_count + window_size]\n sub_section = normalize(sub_section)\n curr_word = ''\n chunk_size = int(len(sub_section) / word_lenth)\n num = 0\n curr_letter = ''\n for j in range(0, word_lenth):\n chunk = sub_section[num:num + chunk_size]\n curr_letter = alphabetize_ts(chunk)\n curr_word += str(curr_letter)\n complete_indices.append(curr_count)\n num += chunk_size\n words.append(curr_word)\n indices.append(curr_count)\n temp_list = []\n temp_list.append(sub_section)\n temp_df = pd.DataFrame()\n temp_df.insert(loc=0, column='sub_section', value=temp_list)\n temp_df.insert(loc=0, column='keys', value=curr_word)\n temp_df.insert(loc=0, column='position', value=sorted(sub_section)[\n len(sub_section) // 2])\n temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))\n temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))\n temp_df.insert(loc=0, column='indices', value=curr_count)\n curr_count = curr_count + skip_offset - 1\n if i == 0:\n df_sax = temp_df.copy()\n else:\n df_sax = df_sax.append(temp_df, ignore_index=True)\n return words, indices, df_sax\n\n\n<mask token>\n\n\ndef complete_word():\n complete_word = list()\n complete_indices = indices\n \"\"\" Simillar Words \"\"\"\n complete_word = alphabetize\n sax = defaultdict(list)\n for i in range(0, len(complete_word)):\n if len(complete_word[i]) == word_lenth:\n sax[complete_word[i]].append(complete_indices[i])\n return sax\n\n\ndef Compare_Shape():\n simillar_word = complete_word()\n map_keys = defaultdict(list)\n map_indices = defaultdict(list)\n for key_i in simillar_word:\n temp_list = list()\n temp_list.append(simillar_word.get(key_i))\n map_keys[key_i].append(key_i)\n for key_j in simillar_word:\n dist = hamming_distance(key_i, key_j)\n if dist == ham_distance and key_i != key_j:\n map_keys[key_i].append(key_j)\n temp_list.append(simillar_word.get(key_j))\n else:\n map_keys[key_i].append([])\n tempp = list(itertools.chain(*temp_list))\n map_indices[key_i].append(tempp)\n return map_keys, map_indices\n\n\n<mask token>\n\n\ndef dtw_test2():\n df_dtw_prep = df_sax\n dtw_df = pd.DataFrame()\n for k, v in compare_list.items():\n v_temp = str(v)[2:-2]\n v1 = [int(s) for s in v_temp.split(',')]\n for i in range(0, len(v1) - 1):\n for j in range(i, len(v1)):\n if v1[i] != v1[j]:\n row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]\n row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]\n sub_section1 = row1.iloc[0]['sub_section']\n sub_section2 = row2.iloc[0]['sub_section']\n index1 = row1.iloc[0]['indices']\n index2 = row2.iloc[0]['indices']\n x = np.array(sub_section1).reshape(-1, 1)\n y = np.array(sub_section2).reshape(-1, 1)\n euclidean_norm = lambda x, y: np.abs(x - y)\n dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x,\n y, dist=euclidean_norm)\n temp_df = pd.DataFrame([[k, index1, index2,\n sub_section1, sub_section2, dtw_value]], columns=[\n 'keyy', 'index1', 'index2', 'sub_section1',\n 'sub_section2', 'dtw_value'])\n dtw_df = dtw_df.append(temp_df, ignore_index=True)\n return dtw_df\n\n\n<mask token>\nprint('Time: ', stop - start)\n",
"step-3": "<mask token>\nstart = timeit.default_timer()\ndata = pd.read_csv('test_data2.csv', sep=',', header=None)\nx1 = data.iloc[1:, 1].values.flatten()\nx1 = np.asfarray(x1, float)\ny_alphabet_size = 4\nword_lenth = 3\nwindow_size = round(len(x1) * 10 / 100)\nskip_offset = round(window_size / 2)\nham_distance = 1\nepsilon = 1e-06\n\n\ndef segment_ts():\n ts_len = len(x1)\n mod = ts_len % window_size\n rnge = 0\n if skip_offset == 0:\n ts_len = int((ts_len - mod - window_size) / 1)\n rnge = int(ts_len / window_size)\n else:\n ts_len = int(math.ceil((ts_len - window_size) / skip_offset))\n rnge = int(ts_len)\n curr_count = 0\n words = list()\n indices = list()\n complete_indices = list()\n for i in range(0, rnge):\n sub_section = x1[curr_count:curr_count + window_size]\n sub_section = normalize(sub_section)\n curr_word = ''\n chunk_size = int(len(sub_section) / word_lenth)\n num = 0\n curr_letter = ''\n for j in range(0, word_lenth):\n chunk = sub_section[num:num + chunk_size]\n curr_letter = alphabetize_ts(chunk)\n curr_word += str(curr_letter)\n complete_indices.append(curr_count)\n num += chunk_size\n words.append(curr_word)\n indices.append(curr_count)\n temp_list = []\n temp_list.append(sub_section)\n temp_df = pd.DataFrame()\n temp_df.insert(loc=0, column='sub_section', value=temp_list)\n temp_df.insert(loc=0, column='keys', value=curr_word)\n temp_df.insert(loc=0, column='position', value=sorted(sub_section)[\n len(sub_section) // 2])\n temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))\n temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))\n temp_df.insert(loc=0, column='indices', value=curr_count)\n curr_count = curr_count + skip_offset - 1\n if i == 0:\n df_sax = temp_df.copy()\n else:\n df_sax = df_sax.append(temp_df, ignore_index=True)\n return words, indices, df_sax\n\n\nalphabetize, indices, df_sax = segment_ts()\n<mask token>\n\n\ndef complete_word():\n complete_word = list()\n complete_indices = indices\n \"\"\" Simillar Words \"\"\"\n complete_word = alphabetize\n sax = defaultdict(list)\n for i in range(0, len(complete_word)):\n if len(complete_word[i]) == word_lenth:\n sax[complete_word[i]].append(complete_indices[i])\n return sax\n\n\ndef Compare_Shape():\n simillar_word = complete_word()\n map_keys = defaultdict(list)\n map_indices = defaultdict(list)\n for key_i in simillar_word:\n temp_list = list()\n temp_list.append(simillar_word.get(key_i))\n map_keys[key_i].append(key_i)\n for key_j in simillar_word:\n dist = hamming_distance(key_i, key_j)\n if dist == ham_distance and key_i != key_j:\n map_keys[key_i].append(key_j)\n temp_list.append(simillar_word.get(key_j))\n else:\n map_keys[key_i].append([])\n tempp = list(itertools.chain(*temp_list))\n map_indices[key_i].append(tempp)\n return map_keys, map_indices\n\n\ncompare_strings, compare_list = Compare_Shape()\n\n\ndef dtw_test2():\n df_dtw_prep = df_sax\n dtw_df = pd.DataFrame()\n for k, v in compare_list.items():\n v_temp = str(v)[2:-2]\n v1 = [int(s) for s in v_temp.split(',')]\n for i in range(0, len(v1) - 1):\n for j in range(i, len(v1)):\n if v1[i] != v1[j]:\n row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]\n row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]\n sub_section1 = row1.iloc[0]['sub_section']\n sub_section2 = row2.iloc[0]['sub_section']\n index1 = row1.iloc[0]['indices']\n index2 = row2.iloc[0]['indices']\n x = np.array(sub_section1).reshape(-1, 1)\n y = np.array(sub_section2).reshape(-1, 1)\n euclidean_norm = lambda x, y: np.abs(x - y)\n dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x,\n y, dist=euclidean_norm)\n temp_df = pd.DataFrame([[k, index1, index2,\n sub_section1, sub_section2, dtw_value]], columns=[\n 'keyy', 'index1', 'index2', 'sub_section1',\n 'sub_section2', 'dtw_value'])\n dtw_df = dtw_df.append(temp_df, ignore_index=True)\n return dtw_df\n\n\ndt_test = dtw_test2()\nstop = timeit.default_timer()\nprint('Time: ', stop - start)\n",
"step-4": "<mask token>\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom collections import defaultdict\nimport math\nimport itertools\nfrom dtw import dtw\nimport timeit\nfrom helper_functions import normalize, alphabetize_ts, hamming_distance\n<mask token>\nstart = timeit.default_timer()\ndata = pd.read_csv('test_data2.csv', sep=',', header=None)\nx1 = data.iloc[1:, 1].values.flatten()\nx1 = np.asfarray(x1, float)\ny_alphabet_size = 4\nword_lenth = 3\nwindow_size = round(len(x1) * 10 / 100)\nskip_offset = round(window_size / 2)\nham_distance = 1\nepsilon = 1e-06\n\n\ndef segment_ts():\n ts_len = len(x1)\n mod = ts_len % window_size\n rnge = 0\n if skip_offset == 0:\n ts_len = int((ts_len - mod - window_size) / 1)\n rnge = int(ts_len / window_size)\n else:\n ts_len = int(math.ceil((ts_len - window_size) / skip_offset))\n rnge = int(ts_len)\n curr_count = 0\n words = list()\n indices = list()\n complete_indices = list()\n for i in range(0, rnge):\n sub_section = x1[curr_count:curr_count + window_size]\n sub_section = normalize(sub_section)\n curr_word = ''\n chunk_size = int(len(sub_section) / word_lenth)\n num = 0\n curr_letter = ''\n for j in range(0, word_lenth):\n chunk = sub_section[num:num + chunk_size]\n curr_letter = alphabetize_ts(chunk)\n curr_word += str(curr_letter)\n complete_indices.append(curr_count)\n num += chunk_size\n words.append(curr_word)\n indices.append(curr_count)\n temp_list = []\n temp_list.append(sub_section)\n temp_df = pd.DataFrame()\n temp_df.insert(loc=0, column='sub_section', value=temp_list)\n temp_df.insert(loc=0, column='keys', value=curr_word)\n temp_df.insert(loc=0, column='position', value=sorted(sub_section)[\n len(sub_section) // 2])\n temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))\n temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))\n temp_df.insert(loc=0, column='indices', value=curr_count)\n curr_count = curr_count + skip_offset - 1\n if i == 0:\n df_sax = temp_df.copy()\n else:\n df_sax = df_sax.append(temp_df, ignore_index=True)\n return words, indices, df_sax\n\n\nalphabetize, indices, df_sax = segment_ts()\n<mask token>\n\n\ndef complete_word():\n complete_word = list()\n complete_indices = indices\n \"\"\" Simillar Words \"\"\"\n complete_word = alphabetize\n sax = defaultdict(list)\n for i in range(0, len(complete_word)):\n if len(complete_word[i]) == word_lenth:\n sax[complete_word[i]].append(complete_indices[i])\n return sax\n\n\ndef Compare_Shape():\n simillar_word = complete_word()\n map_keys = defaultdict(list)\n map_indices = defaultdict(list)\n for key_i in simillar_word:\n temp_list = list()\n temp_list.append(simillar_word.get(key_i))\n map_keys[key_i].append(key_i)\n for key_j in simillar_word:\n dist = hamming_distance(key_i, key_j)\n if dist == ham_distance and key_i != key_j:\n map_keys[key_i].append(key_j)\n temp_list.append(simillar_word.get(key_j))\n else:\n map_keys[key_i].append([])\n tempp = list(itertools.chain(*temp_list))\n map_indices[key_i].append(tempp)\n return map_keys, map_indices\n\n\ncompare_strings, compare_list = Compare_Shape()\n\n\ndef dtw_test2():\n df_dtw_prep = df_sax\n dtw_df = pd.DataFrame()\n for k, v in compare_list.items():\n v_temp = str(v)[2:-2]\n v1 = [int(s) for s in v_temp.split(',')]\n for i in range(0, len(v1) - 1):\n for j in range(i, len(v1)):\n if v1[i] != v1[j]:\n row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]\n row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]\n sub_section1 = row1.iloc[0]['sub_section']\n sub_section2 = row2.iloc[0]['sub_section']\n index1 = row1.iloc[0]['indices']\n index2 = row2.iloc[0]['indices']\n x = np.array(sub_section1).reshape(-1, 1)\n y = np.array(sub_section2).reshape(-1, 1)\n euclidean_norm = lambda x, y: np.abs(x - y)\n dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x,\n y, dist=euclidean_norm)\n temp_df = pd.DataFrame([[k, index1, index2,\n sub_section1, sub_section2, dtw_value]], columns=[\n 'keyy', 'index1', 'index2', 'sub_section1',\n 'sub_section2', 'dtw_value'])\n dtw_df = dtw_df.append(temp_df, ignore_index=True)\n return dtw_df\n\n\ndt_test = dtw_test2()\nstop = timeit.default_timer()\nprint('Time: ', stop - start)\n",
"step-5": "# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Sat Aug 3 17:16:12 2019\n\n@author: Meagatron\n\"\"\"\n\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom collections import defaultdict\nimport math\nimport itertools\nfrom dtw import dtw\nimport timeit\n\nfrom helper_functions import normalize,alphabetize_ts,hamming_distance\n\n\n\n\"\"\"------------- Intialization ------------- \"\"\"\nstart = timeit.default_timer()\n\ndata = pd.read_csv('test_data2.csv', sep=',', header=None)\nx1 = data.iloc[1:,1].values.flatten() \nx1=np.asfarray(x1,float)\n\n\n\n\n\ny_alphabet_size=4\nword_lenth=3\nwindow_size=round( len(x1) *10 /100 )\nskip_offset=round(window_size/2)\nham_distance=1\nepsilon = 1e-6\n\n\ndef segment_ts():\n\n\n ts_len=len(x1)\n\n mod = ts_len%window_size\n rnge=0\n if(skip_offset==0):\n ts_len=int((ts_len-mod-window_size)/1)\n rnge=int(ts_len/window_size)\n else:\n ts_len=int(math.ceil((ts_len-window_size)/skip_offset))\n rnge=int(ts_len)\n\n curr_count=0\n words=list()\n indices=list()\n complete_indices=list()\n \n for i in range(0, rnge):\n\n sub_section = x1[curr_count:(curr_count+window_size)]\n sub_section=normalize(sub_section)\n \n curr_word=\"\"\n chunk_size=int(len(sub_section)/word_lenth)\n num=0\n curr_letter=\"\"\n for j in range(0,word_lenth):\n chunk = sub_section[num:num + chunk_size]\n curr_letter=alphabetize_ts(chunk)\n curr_word+=str(curr_letter)\n complete_indices.append(curr_count)\n num+=chunk_size\n\n words.append(curr_word)\n indices.append(curr_count)\n \n\n temp_list=[]\n temp_list.append(sub_section)\n \n \n temp_df = pd.DataFrame()\n temp_df.insert(loc=0, column='sub_section', value=temp_list)\n temp_df.insert(loc=0, column='keys', value=curr_word)\n temp_df.insert(loc=0, column='position', value=sorted(sub_section)[len(sub_section) // 2])\n temp_df.insert(loc=0, column='scale_high', value=np.max(sub_section))\n temp_df.insert(loc=0, column='scale_low', value=np.min(sub_section))\n temp_df.insert(loc=0, column='indices', value=curr_count)\n \n \n curr_count=curr_count+skip_offset-1\n\n if(i==0):\n\n df_sax =temp_df.copy()\n else:\n df_sax=df_sax.append(temp_df, ignore_index=True)\n\n return (words,indices,df_sax)\n\n\nalphabetize,indices,df_sax=segment_ts()\n\n\n\n\"\"\" Complete Words \"\"\"\ndef complete_word():\n \n complete_word=list()\n complete_indices=indices\n\n \"\"\" Simillar Words \"\"\"\n complete_word=alphabetize\n sax = defaultdict(list)\n for i in range(0,len(complete_word)):\n if(len(complete_word[i])==word_lenth):\n sax[complete_word[i]].append(complete_indices[i])\n return sax\n\n#alphabetize1,indices1,df_sax=segment_ts()\n\n\ndef Compare_Shape():\n simillar_word=complete_word()\n map_keys = defaultdict(list)\n map_indices=defaultdict(list)\n \n \n for key_i in simillar_word:\n temp_list=list()\n temp_list.append(simillar_word.get(key_i))\n map_keys[key_i].append(key_i)\n \n for key_j in simillar_word:\n dist=hamming_distance(key_i, key_j)\n if(dist==ham_distance and key_i !=key_j):\n map_keys[key_i].append(key_j)\n temp_list.append(simillar_word.get(key_j))\n else:\n map_keys[key_i].append([])\n\n tempp = list(itertools.chain(*temp_list))\n map_indices[key_i].append(tempp) \n return (map_keys,map_indices)\n\n\n\n\ncompare_strings,compare_list=Compare_Shape()\n\n\ndef dtw_test2 ():\n df_dtw_prep=df_sax\n \n dtw_df=pd.DataFrame()\n \n \n for k, v in compare_list.items():\n \n v_temp=str(v)[2:-2]\n v1=[int(s) for s in v_temp.split(',')]\n\n for i in range(0,len(v1)-1):\n for j in range(i,len(v1)):\n \n \n if(v1[i] != v1[j]):\n \n \n\n row1 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[i]]\n row2 = df_dtw_prep.loc[df_dtw_prep['indices'] == v1[j]]\n \n sub_section1 = row1.iloc[0]['sub_section']\n sub_section2 = row2.iloc[0]['sub_section']\n \n \n index1 = row1.iloc[0]['indices']\n index2 = row2.iloc[0]['indices']\n \n\n x=np.array(sub_section1).reshape(-1, 1)\n y=np.array(sub_section2).reshape(-1, 1)\n\n euclidean_norm = lambda x, y: np.abs(x - y)\n dtw_value, cost_matrix, acc_cost_matrix, path = dtw(x, y, dist=euclidean_norm)\n \n \n temp_df = pd.DataFrame([[k,index1,index2,sub_section1,sub_section2,dtw_value]], \n columns=['keyy','index1','index2','sub_section1','sub_section2','dtw_value'])\n dtw_df=dtw_df.append(temp_df,ignore_index=True)\n \n \n return(dtw_df)\n\n\ndt_test=dtw_test2 ()\n\n\nstop = timeit.default_timer()\nprint('Time: ', stop - start) \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n",
"step-ids": [
4,
5,
6,
7,
8
]
}
|
[
4,
5,
6,
7,
8
] |
def isSubsetSum(set, n, sum):
subset =([[False for i in range(sum + 1)] for i in range(n + 1)])
for i in range(n + 1):
subset[i][0] = True
for i in range(1, sum + 1):
subset[0][i]= False
for i in range(1, n + 1):
for j in range(1, sum + 1):
if j<set[i-1]:
subset[i][j] = subset[i-1][j]
if j>= set[i-1]:
subset[i][j] = (subset[i-1][j] or subset[i - 1][j-set[i-1]])
return subset[n][sum]
t=int(input())
for i in range(t):
n,k=map(int,input().split())
lst=list(map(int,input().strip().split(' ')))[:n]
if (isSubsetSum(lst, n, k) == True):
print("YES")
else:
print("NO")
|
normal
|
{
"blob_id": "830e7e84eebd6a4adb411cc95c9e9c8ff7bdac30",
"index": 778,
"step-1": "<mask token>\n",
"step-2": "def isSubsetSum(set, n, sum):\n subset = [[(False) for i in range(sum + 1)] for i in range(n + 1)]\n for i in range(n + 1):\n subset[i][0] = True\n for i in range(1, sum + 1):\n subset[0][i] = False\n for i in range(1, n + 1):\n for j in range(1, sum + 1):\n if j < set[i - 1]:\n subset[i][j] = subset[i - 1][j]\n if j >= set[i - 1]:\n subset[i][j] = subset[i - 1][j] or subset[i - 1][j - set[i - 1]\n ]\n return subset[n][sum]\n\n\n<mask token>\n",
"step-3": "def isSubsetSum(set, n, sum):\n subset = [[(False) for i in range(sum + 1)] for i in range(n + 1)]\n for i in range(n + 1):\n subset[i][0] = True\n for i in range(1, sum + 1):\n subset[0][i] = False\n for i in range(1, n + 1):\n for j in range(1, sum + 1):\n if j < set[i - 1]:\n subset[i][j] = subset[i - 1][j]\n if j >= set[i - 1]:\n subset[i][j] = subset[i - 1][j] or subset[i - 1][j - set[i - 1]\n ]\n return subset[n][sum]\n\n\n<mask token>\nfor i in range(t):\n n, k = map(int, input().split())\n lst = list(map(int, input().strip().split(' ')))[:n]\n if isSubsetSum(lst, n, k) == True:\n print('YES')\n else:\n print('NO')\n",
"step-4": "def isSubsetSum(set, n, sum):\n subset = [[(False) for i in range(sum + 1)] for i in range(n + 1)]\n for i in range(n + 1):\n subset[i][0] = True\n for i in range(1, sum + 1):\n subset[0][i] = False\n for i in range(1, n + 1):\n for j in range(1, sum + 1):\n if j < set[i - 1]:\n subset[i][j] = subset[i - 1][j]\n if j >= set[i - 1]:\n subset[i][j] = subset[i - 1][j] or subset[i - 1][j - set[i - 1]\n ]\n return subset[n][sum]\n\n\nt = int(input())\nfor i in range(t):\n n, k = map(int, input().split())\n lst = list(map(int, input().strip().split(' ')))[:n]\n if isSubsetSum(lst, n, k) == True:\n print('YES')\n else:\n print('NO')\n",
"step-5": "def isSubsetSum(set, n, sum): \n subset =([[False for i in range(sum + 1)] for i in range(n + 1)]) \n for i in range(n + 1): \n subset[i][0] = True\n for i in range(1, sum + 1): \n subset[0][i]= False\n for i in range(1, n + 1): \n for j in range(1, sum + 1): \n if j<set[i-1]: \n subset[i][j] = subset[i-1][j] \n if j>= set[i-1]: \n subset[i][j] = (subset[i-1][j] or subset[i - 1][j-set[i-1]]) \n return subset[n][sum] \nt=int(input())\nfor i in range(t):\n n,k=map(int,input().split())\n lst=list(map(int,input().strip().split(' ')))[:n]\n if (isSubsetSum(lst, n, k) == True): \n print(\"YES\") \n else: \n print(\"NO\") \n \n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
def split_matrix(ratings, num_users, num_movies):
X = np.zeros((num_users, num_movies))
for r in np.arange(len(ratings)):
X[ratings[r, 0] - 1, ratings[r, 1] - 1] = ratings[r, 2]
return X
def mf_gd(ratings, num_users, num_movies):
X_data = split_matrix(ratings, num_users, num_movies)
X_hat = np.zeros(num_users, num_movies)
err = np.zeros(num_users, num_movies)
U = np.random.rand(num_users, num_factors)
M = np.random.rand(num_factors, num_movies)
U_prime = U
M_prime = M
for nr in np.arange(num_iter):
for i in np.arange(len(ratings)):
userID = ratings[i, 0] - 1
movieID = ratings[i, 1] - 1
actual = ratings[i, 2]
prediction = np.sum(U[userID, :] * M[:, movieID])
error = actual - prediction
for k in np.arange(num_factors):
U_prime[userID, k] = U[userID, k] + lr * (2 * error * M[k,
movieID] - regularization * U[userID, k])
M_prime[k, movieID] = M[k, movieID] + lr * (2 * error * U[
userID, k] - regularization * M[k, movieID])
U = U_prime
M = M_prime
X_hat = np.dot(U, M)
err = X_data - X_hat
e = err[np.where(np.isnan(err) == False)]
ir = np.sqrt(np.mean(e ** 2))
print('Error for iteration #', nr, ':', ir)
X_hat = np.dot(U, M)
return X_hat
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def split_matrix(ratings, num_users, num_movies):
X = np.zeros((num_users, num_movies))
for r in np.arange(len(ratings)):
X[ratings[r, 0] - 1, ratings[r, 1] - 1] = ratings[r, 2]
return X
def mf_gd(ratings, num_users, num_movies):
X_data = split_matrix(ratings, num_users, num_movies)
X_hat = np.zeros(num_users, num_movies)
err = np.zeros(num_users, num_movies)
U = np.random.rand(num_users, num_factors)
M = np.random.rand(num_factors, num_movies)
U_prime = U
M_prime = M
for nr in np.arange(num_iter):
for i in np.arange(len(ratings)):
userID = ratings[i, 0] - 1
movieID = ratings[i, 1] - 1
actual = ratings[i, 2]
prediction = np.sum(U[userID, :] * M[:, movieID])
error = actual - prediction
for k in np.arange(num_factors):
U_prime[userID, k] = U[userID, k] + lr * (2 * error * M[k,
movieID] - regularization * U[userID, k])
M_prime[k, movieID] = M[k, movieID] + lr * (2 * error * U[
userID, k] - regularization * M[k, movieID])
U = U_prime
M = M_prime
X_hat = np.dot(U, M)
err = X_data - X_hat
e = err[np.where(np.isnan(err) == False)]
ir = np.sqrt(np.mean(e ** 2))
print('Error for iteration #', nr, ':', ir)
X_hat = np.dot(U, M)
return X_hat
def mf():
ratings = np.genfromtxt(
'D:/Leiden/Semester 1_Sept/Assignment1/AiDM/ml-1m/ratings.dat',
usecols=(0, 1, 2), delimiter='::', dtype='int')
num_users = np.max(ratings[:, 0])
num_movies = np.max(ratings[:, 1])
print(num_users, num_movies)
print(len(ratings))
for f in np.arange(folds):
print('Fold #', f)
np.random.shuffle(ratings)
train_set = np.array([ratings[x] for x in np.arange(len(ratings)) if
x % folds != f])
test_set = np.array([ratings[x] for x in np.arange(len(ratings)) if
x % folds == f])
X_hat = mf_gd(train_set, num_users, num_movies)
X_train = split_matrix(train_set, num_users, num_movies)
X_test = split_matrix(test_set, num_users, num_movies)
err_train = X_train - X_hat
err_test = X_test - X_hat
e_mf = err_train[np.where(np.isnan(err_train) == False)]
error_train_mf = np.sqrt(np.mean(e_mf ** 2))
e2_mf = err_test[np.where(np.isnan(err_test) == False)]
error_test_mf = np.sqrt(np.mean(e2_mf ** 2))
print('Matrix Factorization Error -> training set: ', error_train_mf)
print('Matrix Factorization Error -> test set: ', error_test_mf)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
np.random.seed(17)
def split_matrix(ratings, num_users, num_movies):
X = np.zeros((num_users, num_movies))
for r in np.arange(len(ratings)):
X[ratings[r, 0] - 1, ratings[r, 1] - 1] = ratings[r, 2]
return X
def mf_gd(ratings, num_users, num_movies):
X_data = split_matrix(ratings, num_users, num_movies)
X_hat = np.zeros(num_users, num_movies)
err = np.zeros(num_users, num_movies)
U = np.random.rand(num_users, num_factors)
M = np.random.rand(num_factors, num_movies)
U_prime = U
M_prime = M
for nr in np.arange(num_iter):
for i in np.arange(len(ratings)):
userID = ratings[i, 0] - 1
movieID = ratings[i, 1] - 1
actual = ratings[i, 2]
prediction = np.sum(U[userID, :] * M[:, movieID])
error = actual - prediction
for k in np.arange(num_factors):
U_prime[userID, k] = U[userID, k] + lr * (2 * error * M[k,
movieID] - regularization * U[userID, k])
M_prime[k, movieID] = M[k, movieID] + lr * (2 * error * U[
userID, k] - regularization * M[k, movieID])
U = U_prime
M = M_prime
X_hat = np.dot(U, M)
err = X_data - X_hat
e = err[np.where(np.isnan(err) == False)]
ir = np.sqrt(np.mean(e ** 2))
print('Error for iteration #', nr, ':', ir)
X_hat = np.dot(U, M)
return X_hat
def mf():
ratings = np.genfromtxt(
'D:/Leiden/Semester 1_Sept/Assignment1/AiDM/ml-1m/ratings.dat',
usecols=(0, 1, 2), delimiter='::', dtype='int')
num_users = np.max(ratings[:, 0])
num_movies = np.max(ratings[:, 1])
print(num_users, num_movies)
print(len(ratings))
for f in np.arange(folds):
print('Fold #', f)
np.random.shuffle(ratings)
train_set = np.array([ratings[x] for x in np.arange(len(ratings)) if
x % folds != f])
test_set = np.array([ratings[x] for x in np.arange(len(ratings)) if
x % folds == f])
X_hat = mf_gd(train_set, num_users, num_movies)
X_train = split_matrix(train_set, num_users, num_movies)
X_test = split_matrix(test_set, num_users, num_movies)
err_train = X_train - X_hat
err_test = X_test - X_hat
e_mf = err_train[np.where(np.isnan(err_train) == False)]
error_train_mf = np.sqrt(np.mean(e_mf ** 2))
e2_mf = err_test[np.where(np.isnan(err_test) == False)]
error_test_mf = np.sqrt(np.mean(e2_mf ** 2))
print('Matrix Factorization Error -> training set: ', error_train_mf)
print('Matrix Factorization Error -> test set: ', error_test_mf)
mf()
<|reserved_special_token_1|>
<|reserved_special_token_0|>
num_factors = 10
num_iter = 75
regularization = 0.05
lr = 0.005
folds = 5
np.random.seed(17)
def split_matrix(ratings, num_users, num_movies):
X = np.zeros((num_users, num_movies))
for r in np.arange(len(ratings)):
X[ratings[r, 0] - 1, ratings[r, 1] - 1] = ratings[r, 2]
return X
def mf_gd(ratings, num_users, num_movies):
X_data = split_matrix(ratings, num_users, num_movies)
X_hat = np.zeros(num_users, num_movies)
err = np.zeros(num_users, num_movies)
U = np.random.rand(num_users, num_factors)
M = np.random.rand(num_factors, num_movies)
U_prime = U
M_prime = M
for nr in np.arange(num_iter):
for i in np.arange(len(ratings)):
userID = ratings[i, 0] - 1
movieID = ratings[i, 1] - 1
actual = ratings[i, 2]
prediction = np.sum(U[userID, :] * M[:, movieID])
error = actual - prediction
for k in np.arange(num_factors):
U_prime[userID, k] = U[userID, k] + lr * (2 * error * M[k,
movieID] - regularization * U[userID, k])
M_prime[k, movieID] = M[k, movieID] + lr * (2 * error * U[
userID, k] - regularization * M[k, movieID])
U = U_prime
M = M_prime
X_hat = np.dot(U, M)
err = X_data - X_hat
e = err[np.where(np.isnan(err) == False)]
ir = np.sqrt(np.mean(e ** 2))
print('Error for iteration #', nr, ':', ir)
X_hat = np.dot(U, M)
return X_hat
def mf():
ratings = np.genfromtxt(
'D:/Leiden/Semester 1_Sept/Assignment1/AiDM/ml-1m/ratings.dat',
usecols=(0, 1, 2), delimiter='::', dtype='int')
num_users = np.max(ratings[:, 0])
num_movies = np.max(ratings[:, 1])
print(num_users, num_movies)
print(len(ratings))
for f in np.arange(folds):
print('Fold #', f)
np.random.shuffle(ratings)
train_set = np.array([ratings[x] for x in np.arange(len(ratings)) if
x % folds != f])
test_set = np.array([ratings[x] for x in np.arange(len(ratings)) if
x % folds == f])
X_hat = mf_gd(train_set, num_users, num_movies)
X_train = split_matrix(train_set, num_users, num_movies)
X_test = split_matrix(test_set, num_users, num_movies)
err_train = X_train - X_hat
err_test = X_test - X_hat
e_mf = err_train[np.where(np.isnan(err_train) == False)]
error_train_mf = np.sqrt(np.mean(e_mf ** 2))
e2_mf = err_test[np.where(np.isnan(err_test) == False)]
error_test_mf = np.sqrt(np.mean(e2_mf ** 2))
print('Matrix Factorization Error -> training set: ', error_train_mf)
print('Matrix Factorization Error -> test set: ', error_test_mf)
mf()
<|reserved_special_token_1|>
#from getData import getRatings
import numpy as np
num_factors = 10
num_iter = 75
regularization = 0.05
lr = 0.005
folds=5
#to make sure you are able to repeat results, set the random seed to something:
np.random.seed(17)
def split_matrix(ratings, num_users, num_movies):
#Convert data into (IxJ) matrix
X= np.zeros((num_users, num_movies))
for r in np.arange(len(ratings)):
X[ratings[r,0]-1,ratings[r,1]-1] = ratings[r,2]
#print(X.shape)
return X
def mf_gd(ratings, num_users, num_movies):
X_data= split_matrix(ratings, num_users, num_movies)
X_hat = np.zeros(num_users, num_movies) #predicted rating matrix
err = np.zeros(num_users, num_movies) #error values
# Randomly initialize weights in U and M
U = np.random.rand(num_users, num_factors)
M = np.random.rand(num_factors, num_movies)
U_prime = U
M_prime = M
for nr in np.arange(num_iter):
for i in np.arange(len(ratings)):
userID = ratings[i,0]-1
movieID = ratings[i,1]-1
actual = ratings[i,2]
prediction = np.sum(U[userID,:]*M[:,movieID]) #SVD
error = actual - prediction #compute e(i,j)
#update U and M using following equations:
#Uprime(i,k) = u(i,k) + lr(2e*m(k,j)-lamda.u(i,k))
#Mprime(k,j) = m(k,j) + lr(2e*u(i,k)-lamda.m(k,j))
for k in np.arange(num_factors):
U_prime[userID,k] = U[userID,k]+ lr * (2*error*M[k,movieID] - regularization * U[userID,k])
M_prime[k,movieID] = M[k,movieID] + lr * (2*error*U[userID,k] - regularization * M[k,movieID])
U = U_prime
M = M_prime
#Intermediate RMSE
X_hat = np.dot(U,M)
err = X_data-X_hat
e = err[np.where(np.isnan(err)==False)]
ir = np.sqrt(np.mean(e**2))
print ("Error for iteration #", nr, ":", ir)
#Return the result
X_hat = np.dot(U,M)
return X_hat
def mf():
#Read dataset
#ratings = getRatings()
ratings = np.genfromtxt("D:/Leiden/Semester 1_Sept/Assignment1/AiDM/ml-1m/ratings.dat", usecols=(0,1,2), delimiter='::',dtype='int')
#number of users and movies in data.
num_users= np.max(ratings[:,0])
num_movies= np.max(ratings[:,1])
print(num_users, num_movies)
print(len(ratings))
#5-fold cross validation
for f in np.arange(folds):
print ("Fold #", f)
#shuffle data for train and test
np.random.shuffle(ratings)
train_set = np.array([ratings[x] for x in np.arange(len(ratings)) if (x%folds) !=f])
test_set = np.array([ratings[x] for x in np.arange(len(ratings)) if (x%folds) == f])
#Matrix fact
X_hat = mf_gd(train_set, num_users, num_movies)
X_train = split_matrix(train_set, num_users, num_movies)
X_test = split_matrix(test_set, num_users, num_movies)
err_train = X_train- X_hat
err_test = X_test - X_hat
#RMSE
e_mf = err_train[np.where(np.isnan(err_train)==False)]
error_train_mf = np.sqrt(np.mean(e_mf**2))
e2_mf = err_test[np.where(np.isnan(err_test)==False)]
error_test_mf = np.sqrt(np.mean(e2_mf**2))
print ('Matrix Factorization Error -> training set: ', error_train_mf)
print ('Matrix Factorization Error -> test set: ', error_test_mf)
mf()
#Still getting a high error rate, not comparable to the website mentioned in the assignment doc.
# I need to check the logic again.
#https://medium.com/coinmonks/recommendation-engine-python-401c080c583e; followed this blogpost
|
flexible
|
{
"blob_id": "b4267612e7939b635542099e1ba31e661720607a",
"index": 3129,
"step-1": "<mask token>\n\n\ndef split_matrix(ratings, num_users, num_movies):\n X = np.zeros((num_users, num_movies))\n for r in np.arange(len(ratings)):\n X[ratings[r, 0] - 1, ratings[r, 1] - 1] = ratings[r, 2]\n return X\n\n\ndef mf_gd(ratings, num_users, num_movies):\n X_data = split_matrix(ratings, num_users, num_movies)\n X_hat = np.zeros(num_users, num_movies)\n err = np.zeros(num_users, num_movies)\n U = np.random.rand(num_users, num_factors)\n M = np.random.rand(num_factors, num_movies)\n U_prime = U\n M_prime = M\n for nr in np.arange(num_iter):\n for i in np.arange(len(ratings)):\n userID = ratings[i, 0] - 1\n movieID = ratings[i, 1] - 1\n actual = ratings[i, 2]\n prediction = np.sum(U[userID, :] * M[:, movieID])\n error = actual - prediction\n for k in np.arange(num_factors):\n U_prime[userID, k] = U[userID, k] + lr * (2 * error * M[k,\n movieID] - regularization * U[userID, k])\n M_prime[k, movieID] = M[k, movieID] + lr * (2 * error * U[\n userID, k] - regularization * M[k, movieID])\n U = U_prime\n M = M_prime\n X_hat = np.dot(U, M)\n err = X_data - X_hat\n e = err[np.where(np.isnan(err) == False)]\n ir = np.sqrt(np.mean(e ** 2))\n print('Error for iteration #', nr, ':', ir)\n X_hat = np.dot(U, M)\n return X_hat\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef split_matrix(ratings, num_users, num_movies):\n X = np.zeros((num_users, num_movies))\n for r in np.arange(len(ratings)):\n X[ratings[r, 0] - 1, ratings[r, 1] - 1] = ratings[r, 2]\n return X\n\n\ndef mf_gd(ratings, num_users, num_movies):\n X_data = split_matrix(ratings, num_users, num_movies)\n X_hat = np.zeros(num_users, num_movies)\n err = np.zeros(num_users, num_movies)\n U = np.random.rand(num_users, num_factors)\n M = np.random.rand(num_factors, num_movies)\n U_prime = U\n M_prime = M\n for nr in np.arange(num_iter):\n for i in np.arange(len(ratings)):\n userID = ratings[i, 0] - 1\n movieID = ratings[i, 1] - 1\n actual = ratings[i, 2]\n prediction = np.sum(U[userID, :] * M[:, movieID])\n error = actual - prediction\n for k in np.arange(num_factors):\n U_prime[userID, k] = U[userID, k] + lr * (2 * error * M[k,\n movieID] - regularization * U[userID, k])\n M_prime[k, movieID] = M[k, movieID] + lr * (2 * error * U[\n userID, k] - regularization * M[k, movieID])\n U = U_prime\n M = M_prime\n X_hat = np.dot(U, M)\n err = X_data - X_hat\n e = err[np.where(np.isnan(err) == False)]\n ir = np.sqrt(np.mean(e ** 2))\n print('Error for iteration #', nr, ':', ir)\n X_hat = np.dot(U, M)\n return X_hat\n\n\ndef mf():\n ratings = np.genfromtxt(\n 'D:/Leiden/Semester 1_Sept/Assignment1/AiDM/ml-1m/ratings.dat',\n usecols=(0, 1, 2), delimiter='::', dtype='int')\n num_users = np.max(ratings[:, 0])\n num_movies = np.max(ratings[:, 1])\n print(num_users, num_movies)\n print(len(ratings))\n for f in np.arange(folds):\n print('Fold #', f)\n np.random.shuffle(ratings)\n train_set = np.array([ratings[x] for x in np.arange(len(ratings)) if\n x % folds != f])\n test_set = np.array([ratings[x] for x in np.arange(len(ratings)) if\n x % folds == f])\n X_hat = mf_gd(train_set, num_users, num_movies)\n X_train = split_matrix(train_set, num_users, num_movies)\n X_test = split_matrix(test_set, num_users, num_movies)\n err_train = X_train - X_hat\n err_test = X_test - X_hat\n e_mf = err_train[np.where(np.isnan(err_train) == False)]\n error_train_mf = np.sqrt(np.mean(e_mf ** 2))\n e2_mf = err_test[np.where(np.isnan(err_test) == False)]\n error_test_mf = np.sqrt(np.mean(e2_mf ** 2))\n print('Matrix Factorization Error -> training set: ', error_train_mf)\n print('Matrix Factorization Error -> test set: ', error_test_mf)\n\n\n<mask token>\n",
"step-3": "<mask token>\nnp.random.seed(17)\n\n\ndef split_matrix(ratings, num_users, num_movies):\n X = np.zeros((num_users, num_movies))\n for r in np.arange(len(ratings)):\n X[ratings[r, 0] - 1, ratings[r, 1] - 1] = ratings[r, 2]\n return X\n\n\ndef mf_gd(ratings, num_users, num_movies):\n X_data = split_matrix(ratings, num_users, num_movies)\n X_hat = np.zeros(num_users, num_movies)\n err = np.zeros(num_users, num_movies)\n U = np.random.rand(num_users, num_factors)\n M = np.random.rand(num_factors, num_movies)\n U_prime = U\n M_prime = M\n for nr in np.arange(num_iter):\n for i in np.arange(len(ratings)):\n userID = ratings[i, 0] - 1\n movieID = ratings[i, 1] - 1\n actual = ratings[i, 2]\n prediction = np.sum(U[userID, :] * M[:, movieID])\n error = actual - prediction\n for k in np.arange(num_factors):\n U_prime[userID, k] = U[userID, k] + lr * (2 * error * M[k,\n movieID] - regularization * U[userID, k])\n M_prime[k, movieID] = M[k, movieID] + lr * (2 * error * U[\n userID, k] - regularization * M[k, movieID])\n U = U_prime\n M = M_prime\n X_hat = np.dot(U, M)\n err = X_data - X_hat\n e = err[np.where(np.isnan(err) == False)]\n ir = np.sqrt(np.mean(e ** 2))\n print('Error for iteration #', nr, ':', ir)\n X_hat = np.dot(U, M)\n return X_hat\n\n\ndef mf():\n ratings = np.genfromtxt(\n 'D:/Leiden/Semester 1_Sept/Assignment1/AiDM/ml-1m/ratings.dat',\n usecols=(0, 1, 2), delimiter='::', dtype='int')\n num_users = np.max(ratings[:, 0])\n num_movies = np.max(ratings[:, 1])\n print(num_users, num_movies)\n print(len(ratings))\n for f in np.arange(folds):\n print('Fold #', f)\n np.random.shuffle(ratings)\n train_set = np.array([ratings[x] for x in np.arange(len(ratings)) if\n x % folds != f])\n test_set = np.array([ratings[x] for x in np.arange(len(ratings)) if\n x % folds == f])\n X_hat = mf_gd(train_set, num_users, num_movies)\n X_train = split_matrix(train_set, num_users, num_movies)\n X_test = split_matrix(test_set, num_users, num_movies)\n err_train = X_train - X_hat\n err_test = X_test - X_hat\n e_mf = err_train[np.where(np.isnan(err_train) == False)]\n error_train_mf = np.sqrt(np.mean(e_mf ** 2))\n e2_mf = err_test[np.where(np.isnan(err_test) == False)]\n error_test_mf = np.sqrt(np.mean(e2_mf ** 2))\n print('Matrix Factorization Error -> training set: ', error_train_mf)\n print('Matrix Factorization Error -> test set: ', error_test_mf)\n\n\nmf()\n",
"step-4": "<mask token>\nnum_factors = 10\nnum_iter = 75\nregularization = 0.05\nlr = 0.005\nfolds = 5\nnp.random.seed(17)\n\n\ndef split_matrix(ratings, num_users, num_movies):\n X = np.zeros((num_users, num_movies))\n for r in np.arange(len(ratings)):\n X[ratings[r, 0] - 1, ratings[r, 1] - 1] = ratings[r, 2]\n return X\n\n\ndef mf_gd(ratings, num_users, num_movies):\n X_data = split_matrix(ratings, num_users, num_movies)\n X_hat = np.zeros(num_users, num_movies)\n err = np.zeros(num_users, num_movies)\n U = np.random.rand(num_users, num_factors)\n M = np.random.rand(num_factors, num_movies)\n U_prime = U\n M_prime = M\n for nr in np.arange(num_iter):\n for i in np.arange(len(ratings)):\n userID = ratings[i, 0] - 1\n movieID = ratings[i, 1] - 1\n actual = ratings[i, 2]\n prediction = np.sum(U[userID, :] * M[:, movieID])\n error = actual - prediction\n for k in np.arange(num_factors):\n U_prime[userID, k] = U[userID, k] + lr * (2 * error * M[k,\n movieID] - regularization * U[userID, k])\n M_prime[k, movieID] = M[k, movieID] + lr * (2 * error * U[\n userID, k] - regularization * M[k, movieID])\n U = U_prime\n M = M_prime\n X_hat = np.dot(U, M)\n err = X_data - X_hat\n e = err[np.where(np.isnan(err) == False)]\n ir = np.sqrt(np.mean(e ** 2))\n print('Error for iteration #', nr, ':', ir)\n X_hat = np.dot(U, M)\n return X_hat\n\n\ndef mf():\n ratings = np.genfromtxt(\n 'D:/Leiden/Semester 1_Sept/Assignment1/AiDM/ml-1m/ratings.dat',\n usecols=(0, 1, 2), delimiter='::', dtype='int')\n num_users = np.max(ratings[:, 0])\n num_movies = np.max(ratings[:, 1])\n print(num_users, num_movies)\n print(len(ratings))\n for f in np.arange(folds):\n print('Fold #', f)\n np.random.shuffle(ratings)\n train_set = np.array([ratings[x] for x in np.arange(len(ratings)) if\n x % folds != f])\n test_set = np.array([ratings[x] for x in np.arange(len(ratings)) if\n x % folds == f])\n X_hat = mf_gd(train_set, num_users, num_movies)\n X_train = split_matrix(train_set, num_users, num_movies)\n X_test = split_matrix(test_set, num_users, num_movies)\n err_train = X_train - X_hat\n err_test = X_test - X_hat\n e_mf = err_train[np.where(np.isnan(err_train) == False)]\n error_train_mf = np.sqrt(np.mean(e_mf ** 2))\n e2_mf = err_test[np.where(np.isnan(err_test) == False)]\n error_test_mf = np.sqrt(np.mean(e2_mf ** 2))\n print('Matrix Factorization Error -> training set: ', error_train_mf)\n print('Matrix Factorization Error -> test set: ', error_test_mf)\n\n\nmf()\n",
"step-5": "#from getData import getRatings\r\nimport numpy as np \r\n\r\n\r\nnum_factors = 10\r\nnum_iter = 75\r\nregularization = 0.05\r\nlr = 0.005\r\nfolds=5\r\n\r\n#to make sure you are able to repeat results, set the random seed to something:\r\nnp.random.seed(17)\r\n\r\n\r\ndef split_matrix(ratings, num_users, num_movies):\r\n #Convert data into (IxJ) matrix\r\n X= np.zeros((num_users, num_movies))\r\n for r in np.arange(len(ratings)):\r\n X[ratings[r,0]-1,ratings[r,1]-1] = ratings[r,2]\r\n\r\n #print(X.shape)\r\n return X\r\n\r\n\r\ndef mf_gd(ratings, num_users, num_movies):\r\n X_data= split_matrix(ratings, num_users, num_movies)\r\n\r\n X_hat = np.zeros(num_users, num_movies) #predicted rating matrix\r\n err = np.zeros(num_users, num_movies) #error values\r\n\r\n # Randomly initialize weights in U and M \r\n U = np.random.rand(num_users, num_factors)\r\n M = np.random.rand(num_factors, num_movies)\r\n U_prime = U\r\n M_prime = M\r\n\r\n for nr in np.arange(num_iter):\r\n for i in np.arange(len(ratings)):\r\n userID = ratings[i,0]-1\r\n movieID = ratings[i,1]-1\r\n actual = ratings[i,2]\r\n prediction = np.sum(U[userID,:]*M[:,movieID]) #SVD\r\n error = actual - prediction #compute e(i,j)\r\n\r\n \r\n #update U and M using following equations:\r\n #Uprime(i,k) = u(i,k) + lr(2e*m(k,j)-lamda.u(i,k))\r\n #Mprime(k,j) = m(k,j) + lr(2e*u(i,k)-lamda.m(k,j))\r\n for k in np.arange(num_factors):\r\n U_prime[userID,k] = U[userID,k]+ lr * (2*error*M[k,movieID] - regularization * U[userID,k])\r\n M_prime[k,movieID] = M[k,movieID] + lr * (2*error*U[userID,k] - regularization * M[k,movieID])\r\n\r\n U = U_prime\r\n M = M_prime\r\n\r\n #Intermediate RMSE\r\n X_hat = np.dot(U,M)\r\n err = X_data-X_hat\r\n e = err[np.where(np.isnan(err)==False)]\r\n ir = np.sqrt(np.mean(e**2))\r\n\r\n print (\"Error for iteration #\", nr, \":\", ir)\r\n\r\n \r\n #Return the result \r\n X_hat = np.dot(U,M)\r\n return X_hat\r\n\r\n\r\ndef mf():\r\n #Read dataset \r\n #ratings = getRatings()\r\n ratings = np.genfromtxt(\"D:/Leiden/Semester 1_Sept/Assignment1/AiDM/ml-1m/ratings.dat\", usecols=(0,1,2), delimiter='::',dtype='int')\r\n\r\n #number of users and movies in data. \r\n num_users= np.max(ratings[:,0])\r\n num_movies= np.max(ratings[:,1])\r\n\r\n print(num_users, num_movies)\r\n print(len(ratings))\r\n \r\n #5-fold cross validation\r\n for f in np.arange(folds):\r\n print (\"Fold #\", f)\r\n\r\n #shuffle data for train and test\r\n np.random.shuffle(ratings)\r\n train_set = np.array([ratings[x] for x in np.arange(len(ratings)) if (x%folds) !=f])\r\n test_set = np.array([ratings[x] for x in np.arange(len(ratings)) if (x%folds) == f])\r\n\r\n \r\n #Matrix fact\r\n X_hat = mf_gd(train_set, num_users, num_movies)\r\n X_train = split_matrix(train_set, num_users, num_movies)\r\n X_test = split_matrix(test_set, num_users, num_movies)\r\n\r\n err_train = X_train- X_hat\r\n err_test = X_test - X_hat\r\n\r\n #RMSE\r\n e_mf = err_train[np.where(np.isnan(err_train)==False)]\r\n error_train_mf = np.sqrt(np.mean(e_mf**2))\r\n\r\n e2_mf = err_test[np.where(np.isnan(err_test)==False)]\r\n error_test_mf = np.sqrt(np.mean(e2_mf**2))\r\n \r\n\r\n print ('Matrix Factorization Error -> training set: ', error_train_mf)\r\n print ('Matrix Factorization Error -> test set: ', error_test_mf)\r\n\r\nmf()\r\n\r\n#Still getting a high error rate, not comparable to the website mentioned in the assignment doc. \r\n# I need to check the logic again. \r\n#https://medium.com/coinmonks/recommendation-engine-python-401c080c583e; followed this blogpost ",
"step-ids": [
2,
3,
4,
5,
7
]
}
|
[
2,
3,
4,
5,
7
] |
<|reserved_special_token_0|>
def on_identity_changed(app, identity):
g.identity = identity
session['identity'] = identity
def configure_signals(app):
identity_changed.connect(on_identity_changed, app)
<|reserved_special_token_0|>
def configure_before_handlers(app):
@app.before_request
def authenticate():
try:
g.identity = session['identity']
except Exception:
g.identity = Identity(0, 'Login')
def configure_extensions(app):
db.init_app(app)
mail.init_app(app)
cache.init_app(app)
def configure_context_processors(app):
@app.context_processor
def archives():
archives = set()
for dt in Post.query.from_self(Post.create_date).order_by().filter_by(
author_id=g.identity.id):
item = dt.create_date.year, dt.create_date.month
archives.add(item)
if len(archives) > 5:
break
archives = sorted(list(archives))
return dict(archives=archives)
def configure_modules(app, modules):
for module, url_prefix in modules:
app.register_module(module, url_prefix=url_prefix)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def create_app(config=None, modules=None):
if modules is None:
modules = DEFAULT_MODULES
app = Flask(DEFAULT_APP_NAME)
app.config.from_pyfile(config)
configure_extensions(app)
configure_logging(app)
configure_errorhandlers(app)
configure_before_handlers(app)
configure_template_filters(app)
configure_context_processors(app)
configure_signals(app)
babel = Babel(app)
configure_modules(app, modules)
return app
def on_identity_changed(app, identity):
g.identity = identity
session['identity'] = identity
def configure_signals(app):
identity_changed.connect(on_identity_changed, app)
def configure_errorhandlers(app):
@app.errorhandler(401)
def unauthorized(error):
flash('Please login to see this page', 'error')
return redirect(url_for('account.login'))
def configure_before_handlers(app):
@app.before_request
def authenticate():
try:
g.identity = session['identity']
except Exception:
g.identity = Identity(0, 'Login')
def configure_extensions(app):
db.init_app(app)
mail.init_app(app)
cache.init_app(app)
def configure_context_processors(app):
@app.context_processor
def archives():
archives = set()
for dt in Post.query.from_self(Post.create_date).order_by().filter_by(
author_id=g.identity.id):
item = dt.create_date.year, dt.create_date.month
archives.add(item)
if len(archives) > 5:
break
archives = sorted(list(archives))
return dict(archives=archives)
def configure_modules(app, modules):
for module, url_prefix in modules:
app.register_module(module, url_prefix=url_prefix)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def create_app(config=None, modules=None):
if modules is None:
modules = DEFAULT_MODULES
app = Flask(DEFAULT_APP_NAME)
app.config.from_pyfile(config)
configure_extensions(app)
configure_logging(app)
configure_errorhandlers(app)
configure_before_handlers(app)
configure_template_filters(app)
configure_context_processors(app)
configure_signals(app)
babel = Babel(app)
configure_modules(app, modules)
return app
def on_identity_changed(app, identity):
g.identity = identity
session['identity'] = identity
def configure_signals(app):
identity_changed.connect(on_identity_changed, app)
def configure_errorhandlers(app):
@app.errorhandler(401)
def unauthorized(error):
flash('Please login to see this page', 'error')
return redirect(url_for('account.login'))
def configure_before_handlers(app):
@app.before_request
def authenticate():
try:
g.identity = session['identity']
except Exception:
g.identity = Identity(0, 'Login')
def configure_extensions(app):
db.init_app(app)
mail.init_app(app)
cache.init_app(app)
def configure_context_processors(app):
@app.context_processor
def archives():
archives = set()
for dt in Post.query.from_self(Post.create_date).order_by().filter_by(
author_id=g.identity.id):
item = dt.create_date.year, dt.create_date.month
archives.add(item)
if len(archives) > 5:
break
archives = sorted(list(archives))
return dict(archives=archives)
def configure_modules(app, modules):
for module, url_prefix in modules:
app.register_module(module, url_prefix=url_prefix)
def configure_template_filters(app):
@app.template_filter()
def timesince(value):
return helpers.timesince(value)
@app.template_filter()
def endtags(value):
return helpers.endtags(value)
@app.template_filter()
def gravatar(email, size):
return helpers.gravatar(email, size)
@app.template_filter()
def format_date(date, s='full'):
return helpers.format_date(date, s)
@app.template_filter()
def format_datetime(time, s='full'):
return helpers.format_datetime(time, s)
@app.template_filter()
def format_yearmonth(date):
return '%s-%s' % date
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def create_app(config=None, modules=None):
if modules is None:
modules = DEFAULT_MODULES
app = Flask(DEFAULT_APP_NAME)
app.config.from_pyfile(config)
configure_extensions(app)
configure_logging(app)
configure_errorhandlers(app)
configure_before_handlers(app)
configure_template_filters(app)
configure_context_processors(app)
configure_signals(app)
babel = Babel(app)
configure_modules(app, modules)
return app
def on_identity_changed(app, identity):
g.identity = identity
session['identity'] = identity
def configure_signals(app):
identity_changed.connect(on_identity_changed, app)
def configure_errorhandlers(app):
@app.errorhandler(401)
def unauthorized(error):
flash('Please login to see this page', 'error')
return redirect(url_for('account.login'))
def configure_before_handlers(app):
@app.before_request
def authenticate():
try:
g.identity = session['identity']
except Exception:
g.identity = Identity(0, 'Login')
def configure_extensions(app):
db.init_app(app)
mail.init_app(app)
cache.init_app(app)
def configure_context_processors(app):
@app.context_processor
def archives():
archives = set()
for dt in Post.query.from_self(Post.create_date).order_by().filter_by(
author_id=g.identity.id):
item = dt.create_date.year, dt.create_date.month
archives.add(item)
if len(archives) > 5:
break
archives = sorted(list(archives))
return dict(archives=archives)
def configure_modules(app, modules):
for module, url_prefix in modules:
app.register_module(module, url_prefix=url_prefix)
def configure_template_filters(app):
@app.template_filter()
def timesince(value):
return helpers.timesince(value)
@app.template_filter()
def endtags(value):
return helpers.endtags(value)
@app.template_filter()
def gravatar(email, size):
return helpers.gravatar(email, size)
@app.template_filter()
def format_date(date, s='full'):
return helpers.format_date(date, s)
@app.template_filter()
def format_datetime(time, s='full'):
return helpers.format_datetime(time, s)
@app.template_filter()
def format_yearmonth(date):
return '%s-%s' % date
def configure_logging(app):
mail_handler = SMTPHandler(app.config['MAIL_SERVER'], app.config[
'DEFAULT_MAIL_SENDER'], app.config['ADMINS'], 'application error',
(app.config['MAIL_USERNAME'], app.config['MAIL_PASSWORD']))
mail_handler.setLevel(logging.ERROR)
app.logger.addHandler(mail_handler)
formatter = logging.Formatter(
'%(asctime)s %(levelname)s: %(message)s [in %(pathname)s:%(lineno)d]')
debug_log = os.path.join(app.root_path, app.config['DEBUG_LOG'])
debug_file_handler = RotatingFileHandler(debug_log, maxBytes=100000,
backupCount=10)
debug_file_handler.setLevel(logging.DEBUG)
debug_file_handler.setFormatter(formatter)
app.logger.addHandler(debug_file_handler)
error_log = os.path.join(app.root_path, app.config['ERROR_LOG'])
error_file_handler = RotatingFileHandler(error_log, maxBytes=100000,
backupCount=10)
error_file_handler.setLevel(logging.ERROR)
error_file_handler.setFormatter(formatter)
app.logger.addHandler(error_file_handler)
<|reserved_special_token_1|>
#!/usr/bin/env python
#coding=utf-8
"""
__init__.py
:license: BSD, see LICENSE for more details.
"""
import os
import logging
import sys
from logging.handlers import SMTPHandler, RotatingFileHandler
from flask import Flask, g, session, request, flash, redirect, jsonify, url_for
from flaskext.babel import Babel
from bg import helpers
from bg.extensions import db, mail, cache, photos, identity_changed, Identity
from bg.views import frontend,admin,post,account
from bg.models import Post
DEFAULT_MODULES = (
(frontend, ""),
(post, "/post"),
(account, "/account"),
(admin, "/admin"),)
DEFAULT_APP_NAME = 'bg'
def create_app(config=None, modules=None):
if modules is None:
modules = DEFAULT_MODULES
app = Flask(DEFAULT_APP_NAME)
#config
app.config.from_pyfile(config)
configure_extensions(app)
configure_logging(app)
configure_errorhandlers(app)
configure_before_handlers(app)
configure_template_filters(app)
configure_context_processors(app)
configure_signals(app)
babel = Babel(app)
# register module
configure_modules(app, modules)
return app
def on_identity_changed(app, identity):
g.identity = identity
session['identity'] = identity
def configure_signals(app):
identity_changed.connect(on_identity_changed, app)
def configure_errorhandlers(app):
@app.errorhandler(401)
def unauthorized(error):
#if request.is_xhr:
# return jsonfiy(error=_("Login required"))
flash(("Please login to see this page"), "error")
#return redirect(url_for("account.login", next=request.path))
return redirect(url_for("account.login"))
def configure_before_handlers(app):
@app.before_request
def authenticate():
try:
g.identity = session['identity']
except Exception:
g.identity = Identity(0,'Login')
def configure_extensions(app):
# configure extensions
db.init_app(app)
#db.app = app
#db.create_all()
mail.init_app(app)
cache.init_app(app)
#setup_themes(app)
def configure_context_processors(app):
@app.context_processor
def archives():
archives = set()
for dt in Post.query.from_self(Post.create_date).order_by().filter_by(author_id=g.identity.id):
item = (dt.create_date.year, dt.create_date.month)
archives.add(item)
if len(archives) > 5:
break
archives = sorted(list(archives))
return dict(archives=archives)
def configure_modules(app, modules):
for module, url_prefix in modules:
app.register_module(module, url_prefix=url_prefix)
def configure_template_filters(app):
@app.template_filter()
def timesince(value):
return helpers.timesince(value)
@app.template_filter()
def endtags(value):
return helpers.endtags(value)
@app.template_filter()
def gravatar(email,size):
return helpers.gravatar(email,size)
@app.template_filter()
def format_date(date,s='full'):
return helpers.format_date(date,s)
@app.template_filter()
def format_datetime(time,s='full'):
return helpers.format_datetime(time,s)
@app.template_filter()
def format_yearmonth(date):
return '%s-%s'%date
def configure_logging(app):
mail_handler = \
SMTPHandler(app.config['MAIL_SERVER'],
app.config['DEFAULT_MAIL_SENDER'],
app.config['ADMINS'],
'application error',
(
app.config['MAIL_USERNAME'],
app.config['MAIL_PASSWORD'],
))
mail_handler.setLevel(logging.ERROR)
app.logger.addHandler(mail_handler)
formatter = logging.Formatter(
'%(asctime)s %(levelname)s: %(message)s '
'[in %(pathname)s:%(lineno)d]')
debug_log = os.path.join(app.root_path,
app.config['DEBUG_LOG'])
debug_file_handler = \
RotatingFileHandler(debug_log,
maxBytes=100000,
backupCount=10)
debug_file_handler.setLevel(logging.DEBUG)
debug_file_handler.setFormatter(formatter)
app.logger.addHandler(debug_file_handler)
error_log = os.path.join(app.root_path,
app.config['ERROR_LOG'])
error_file_handler = \
RotatingFileHandler(error_log,
maxBytes=100000,
backupCount=10)
error_file_handler.setLevel(logging.ERROR)
error_file_handler.setFormatter(formatter)
app.logger.addHandler(error_file_handler)
|
flexible
|
{
"blob_id": "ef124e8c15ef347efd709a5e3fb104c7fd1bccde",
"index": 2753,
"step-1": "<mask token>\n\n\ndef on_identity_changed(app, identity):\n g.identity = identity\n session['identity'] = identity\n\n\ndef configure_signals(app):\n identity_changed.connect(on_identity_changed, app)\n\n\n<mask token>\n\n\ndef configure_before_handlers(app):\n\n @app.before_request\n def authenticate():\n try:\n g.identity = session['identity']\n except Exception:\n g.identity = Identity(0, 'Login')\n\n\ndef configure_extensions(app):\n db.init_app(app)\n mail.init_app(app)\n cache.init_app(app)\n\n\ndef configure_context_processors(app):\n\n @app.context_processor\n def archives():\n archives = set()\n for dt in Post.query.from_self(Post.create_date).order_by().filter_by(\n author_id=g.identity.id):\n item = dt.create_date.year, dt.create_date.month\n archives.add(item)\n if len(archives) > 5:\n break\n archives = sorted(list(archives))\n return dict(archives=archives)\n\n\ndef configure_modules(app, modules):\n for module, url_prefix in modules:\n app.register_module(module, url_prefix=url_prefix)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\ndef create_app(config=None, modules=None):\n if modules is None:\n modules = DEFAULT_MODULES\n app = Flask(DEFAULT_APP_NAME)\n app.config.from_pyfile(config)\n configure_extensions(app)\n configure_logging(app)\n configure_errorhandlers(app)\n configure_before_handlers(app)\n configure_template_filters(app)\n configure_context_processors(app)\n configure_signals(app)\n babel = Babel(app)\n configure_modules(app, modules)\n return app\n\n\ndef on_identity_changed(app, identity):\n g.identity = identity\n session['identity'] = identity\n\n\ndef configure_signals(app):\n identity_changed.connect(on_identity_changed, app)\n\n\ndef configure_errorhandlers(app):\n\n @app.errorhandler(401)\n def unauthorized(error):\n flash('Please login to see this page', 'error')\n return redirect(url_for('account.login'))\n\n\ndef configure_before_handlers(app):\n\n @app.before_request\n def authenticate():\n try:\n g.identity = session['identity']\n except Exception:\n g.identity = Identity(0, 'Login')\n\n\ndef configure_extensions(app):\n db.init_app(app)\n mail.init_app(app)\n cache.init_app(app)\n\n\ndef configure_context_processors(app):\n\n @app.context_processor\n def archives():\n archives = set()\n for dt in Post.query.from_self(Post.create_date).order_by().filter_by(\n author_id=g.identity.id):\n item = dt.create_date.year, dt.create_date.month\n archives.add(item)\n if len(archives) > 5:\n break\n archives = sorted(list(archives))\n return dict(archives=archives)\n\n\ndef configure_modules(app, modules):\n for module, url_prefix in modules:\n app.register_module(module, url_prefix=url_prefix)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef create_app(config=None, modules=None):\n if modules is None:\n modules = DEFAULT_MODULES\n app = Flask(DEFAULT_APP_NAME)\n app.config.from_pyfile(config)\n configure_extensions(app)\n configure_logging(app)\n configure_errorhandlers(app)\n configure_before_handlers(app)\n configure_template_filters(app)\n configure_context_processors(app)\n configure_signals(app)\n babel = Babel(app)\n configure_modules(app, modules)\n return app\n\n\ndef on_identity_changed(app, identity):\n g.identity = identity\n session['identity'] = identity\n\n\ndef configure_signals(app):\n identity_changed.connect(on_identity_changed, app)\n\n\ndef configure_errorhandlers(app):\n\n @app.errorhandler(401)\n def unauthorized(error):\n flash('Please login to see this page', 'error')\n return redirect(url_for('account.login'))\n\n\ndef configure_before_handlers(app):\n\n @app.before_request\n def authenticate():\n try:\n g.identity = session['identity']\n except Exception:\n g.identity = Identity(0, 'Login')\n\n\ndef configure_extensions(app):\n db.init_app(app)\n mail.init_app(app)\n cache.init_app(app)\n\n\ndef configure_context_processors(app):\n\n @app.context_processor\n def archives():\n archives = set()\n for dt in Post.query.from_self(Post.create_date).order_by().filter_by(\n author_id=g.identity.id):\n item = dt.create_date.year, dt.create_date.month\n archives.add(item)\n if len(archives) > 5:\n break\n archives = sorted(list(archives))\n return dict(archives=archives)\n\n\ndef configure_modules(app, modules):\n for module, url_prefix in modules:\n app.register_module(module, url_prefix=url_prefix)\n\n\ndef configure_template_filters(app):\n\n @app.template_filter()\n def timesince(value):\n return helpers.timesince(value)\n\n @app.template_filter()\n def endtags(value):\n return helpers.endtags(value)\n\n @app.template_filter()\n def gravatar(email, size):\n return helpers.gravatar(email, size)\n\n @app.template_filter()\n def format_date(date, s='full'):\n return helpers.format_date(date, s)\n\n @app.template_filter()\n def format_datetime(time, s='full'):\n return helpers.format_datetime(time, s)\n\n @app.template_filter()\n def format_yearmonth(date):\n return '%s-%s' % date\n\n\n<mask token>\n",
"step-4": "<mask token>\n\n\ndef create_app(config=None, modules=None):\n if modules is None:\n modules = DEFAULT_MODULES\n app = Flask(DEFAULT_APP_NAME)\n app.config.from_pyfile(config)\n configure_extensions(app)\n configure_logging(app)\n configure_errorhandlers(app)\n configure_before_handlers(app)\n configure_template_filters(app)\n configure_context_processors(app)\n configure_signals(app)\n babel = Babel(app)\n configure_modules(app, modules)\n return app\n\n\ndef on_identity_changed(app, identity):\n g.identity = identity\n session['identity'] = identity\n\n\ndef configure_signals(app):\n identity_changed.connect(on_identity_changed, app)\n\n\ndef configure_errorhandlers(app):\n\n @app.errorhandler(401)\n def unauthorized(error):\n flash('Please login to see this page', 'error')\n return redirect(url_for('account.login'))\n\n\ndef configure_before_handlers(app):\n\n @app.before_request\n def authenticate():\n try:\n g.identity = session['identity']\n except Exception:\n g.identity = Identity(0, 'Login')\n\n\ndef configure_extensions(app):\n db.init_app(app)\n mail.init_app(app)\n cache.init_app(app)\n\n\ndef configure_context_processors(app):\n\n @app.context_processor\n def archives():\n archives = set()\n for dt in Post.query.from_self(Post.create_date).order_by().filter_by(\n author_id=g.identity.id):\n item = dt.create_date.year, dt.create_date.month\n archives.add(item)\n if len(archives) > 5:\n break\n archives = sorted(list(archives))\n return dict(archives=archives)\n\n\ndef configure_modules(app, modules):\n for module, url_prefix in modules:\n app.register_module(module, url_prefix=url_prefix)\n\n\ndef configure_template_filters(app):\n\n @app.template_filter()\n def timesince(value):\n return helpers.timesince(value)\n\n @app.template_filter()\n def endtags(value):\n return helpers.endtags(value)\n\n @app.template_filter()\n def gravatar(email, size):\n return helpers.gravatar(email, size)\n\n @app.template_filter()\n def format_date(date, s='full'):\n return helpers.format_date(date, s)\n\n @app.template_filter()\n def format_datetime(time, s='full'):\n return helpers.format_datetime(time, s)\n\n @app.template_filter()\n def format_yearmonth(date):\n return '%s-%s' % date\n\n\ndef configure_logging(app):\n mail_handler = SMTPHandler(app.config['MAIL_SERVER'], app.config[\n 'DEFAULT_MAIL_SENDER'], app.config['ADMINS'], 'application error',\n (app.config['MAIL_USERNAME'], app.config['MAIL_PASSWORD']))\n mail_handler.setLevel(logging.ERROR)\n app.logger.addHandler(mail_handler)\n formatter = logging.Formatter(\n '%(asctime)s %(levelname)s: %(message)s [in %(pathname)s:%(lineno)d]')\n debug_log = os.path.join(app.root_path, app.config['DEBUG_LOG'])\n debug_file_handler = RotatingFileHandler(debug_log, maxBytes=100000,\n backupCount=10)\n debug_file_handler.setLevel(logging.DEBUG)\n debug_file_handler.setFormatter(formatter)\n app.logger.addHandler(debug_file_handler)\n error_log = os.path.join(app.root_path, app.config['ERROR_LOG'])\n error_file_handler = RotatingFileHandler(error_log, maxBytes=100000,\n backupCount=10)\n error_file_handler.setLevel(logging.ERROR)\n error_file_handler.setFormatter(formatter)\n app.logger.addHandler(error_file_handler)\n",
"step-5": "#!/usr/bin/env python\n#coding=utf-8\n\n\"\"\"\n __init__.py\n\n :license: BSD, see LICENSE for more details.\n\"\"\"\n\nimport os\nimport logging\nimport sys\n\nfrom logging.handlers import SMTPHandler, RotatingFileHandler\nfrom flask import Flask, g, session, request, flash, redirect, jsonify, url_for\nfrom flaskext.babel import Babel\n\nfrom bg import helpers\nfrom bg.extensions import db, mail, cache, photos, identity_changed, Identity\n\nfrom bg.views import frontend,admin,post,account\nfrom bg.models import Post\n\nDEFAULT_MODULES = (\n (frontend, \"\"),\n (post, \"/post\"),\n (account, \"/account\"),\n (admin, \"/admin\"),)\n\nDEFAULT_APP_NAME = 'bg'\n\ndef create_app(config=None, modules=None):\n\n if modules is None:\n modules = DEFAULT_MODULES\n\n app = Flask(DEFAULT_APP_NAME)\n\n #config\n app.config.from_pyfile(config)\n configure_extensions(app)\n\n configure_logging(app)\n configure_errorhandlers(app)\n configure_before_handlers(app)\n configure_template_filters(app)\n configure_context_processors(app)\n configure_signals(app)\n babel = Babel(app)\n\n # register module\n configure_modules(app, modules)\n\n return app\n\ndef on_identity_changed(app, identity):\n g.identity = identity\n session['identity'] = identity\n\ndef configure_signals(app):\n identity_changed.connect(on_identity_changed, app)\n\ndef configure_errorhandlers(app):\n\n @app.errorhandler(401)\n def unauthorized(error):\n #if request.is_xhr:\n # return jsonfiy(error=_(\"Login required\"))\n flash((\"Please login to see this page\"), \"error\")\n #return redirect(url_for(\"account.login\", next=request.path))\n return redirect(url_for(\"account.login\"))\n\n\ndef configure_before_handlers(app):\n\n @app.before_request\n def authenticate():\n try:\n g.identity = session['identity']\n except Exception:\n g.identity = Identity(0,'Login')\n\n\ndef configure_extensions(app):\n # configure extensions\n db.init_app(app)\n #db.app = app\n #db.create_all()\n mail.init_app(app)\n cache.init_app(app)\n #setup_themes(app)\n\ndef configure_context_processors(app):\n @app.context_processor\n def archives():\n archives = set()\n for dt in Post.query.from_self(Post.create_date).order_by().filter_by(author_id=g.identity.id):\n item = (dt.create_date.year, dt.create_date.month)\n archives.add(item)\n if len(archives) > 5:\n break\n archives = sorted(list(archives))\n return dict(archives=archives)\n\ndef configure_modules(app, modules):\n\n for module, url_prefix in modules:\n app.register_module(module, url_prefix=url_prefix)\n\ndef configure_template_filters(app):\n\n @app.template_filter()\n def timesince(value):\n return helpers.timesince(value)\n\n @app.template_filter()\n def endtags(value):\n return helpers.endtags(value)\n\n @app.template_filter()\n def gravatar(email,size):\n return helpers.gravatar(email,size)\n\n @app.template_filter()\n def format_date(date,s='full'):\n return helpers.format_date(date,s)\n\n @app.template_filter()\n def format_datetime(time,s='full'):\n return helpers.format_datetime(time,s)\n\n @app.template_filter()\n def format_yearmonth(date):\n return '%s-%s'%date\n\ndef configure_logging(app):\n\n mail_handler = \\\n SMTPHandler(app.config['MAIL_SERVER'],\n app.config['DEFAULT_MAIL_SENDER'],\n app.config['ADMINS'],\n 'application error',\n (\n app.config['MAIL_USERNAME'],\n app.config['MAIL_PASSWORD'],\n ))\n\n mail_handler.setLevel(logging.ERROR)\n app.logger.addHandler(mail_handler)\n\n formatter = logging.Formatter(\n '%(asctime)s %(levelname)s: %(message)s '\n '[in %(pathname)s:%(lineno)d]')\n\n debug_log = os.path.join(app.root_path,\n app.config['DEBUG_LOG'])\n\n debug_file_handler = \\\n RotatingFileHandler(debug_log,\n maxBytes=100000,\n backupCount=10)\n\n debug_file_handler.setLevel(logging.DEBUG)\n debug_file_handler.setFormatter(formatter)\n app.logger.addHandler(debug_file_handler)\n\n error_log = os.path.join(app.root_path,\n app.config['ERROR_LOG'])\n\n error_file_handler = \\\n RotatingFileHandler(error_log,\n maxBytes=100000,\n backupCount=10)\n\n error_file_handler.setLevel(logging.ERROR)\n error_file_handler.setFormatter(formatter)\n app.logger.addHandler(error_file_handler)\n\n",
"step-ids": [
6,
8,
9,
10,
13
]
}
|
[
6,
8,
9,
10,
13
] |
from PyQt5.QtWidgets import *
import sys
import math
Data = ''
class Button:
def __init__(self, text, results):
self.b = QPushButton(str(text))
self.text = text
self.results = results
self.b.clicked.connect(lambda: self.handleInput(
self.text)) # Important because we need to pass only function name with arguments here that is why we use lambda here
def handleInput(self, v):
global Data
try:
if self.results.text() == 'INVALID!':
self.results.setText("")
if self.results.text() != '':
if self.results.text()[-1] in ['*', '+', '-', '/'] and v in ['-', '*', '+', '/', '√', 'CBRT', "SIN",
"COS", "LOG", "MOD", "TAN", "MOD"]:
return
elif v == 'CBRT':
self.results.setText(str(round(float(eval(self.results.text())) ** (1 / 3), 4), ))
elif v == 'MOD':
if '.' in self.results.text():
self.results.setText(str(abs(float(self.results.text()))))
else:
self.results.setText(str(abs(int(self.results.text()))))
elif v == 'LOG':
self.results.setText(str(math.log10(abs(float(eval(self.results.text()))))))
elif v == 'SQUARE':
if '.' in self.results.text():
self.results.setText(str(float(self.results.text()) ** 2))
else:
self.results.setText(str(int(self.results.text()) ** 2))
elif v == "SIN":
self.results.setText(str(math.sin(float(eval(self.results.text())))))
elif v == "COS":
self.results.setText(str(math.cos(float(eval(self.results.text())))))
elif v == "TAN":
self.results.setText(str(math.tan(float(eval(self.results.text())))))
elif v == 'x!':
if '.' in str(eval(self.results.text())):
self.results.setText("INVALID!")
else:
self.results.setText(str(math.factorial(abs(int(eval(self.results.text()))))))
elif self.results.text()[-1] == '/' and v == 0:
return
elif v == "=":
if self.results.text()[-1] in ['*', '-', '.', '+', '/']:
return
res = eval(self.results.text())
self.results.setText(str(res))
elif v == "AC":
self.results.setText("")
elif v == "DEL":
self.results.setText(self.results.text()[:-1])
elif v == "√" and self.results.text() != '':
self.results.setText(str(float(self.results.text()) ** 0.5))
elif v == "√" and self.results.text() == '':
return
else:
current_value = self.results.text()
new_value = current_value + str(v)
self.results.setText(new_value)
else:
if type(v) == int:
current_value = self.results.text()
new_value = current_value + str(v)
self.results.setText(new_value)
except:
self.results.setText("INVALID!")
Data = self.results.text()
class Widget1():
def setup(self, MainWindow, res):
self.widget = QWidget()
self.grid = QGridLayout()
self.results = QLineEdit()
self.results.setText(res)
row = 3
col = 0
self.cb = QComboBox()
self.cb.addItems(["Basic Mode", "Advanced Mode"])
self.grid.addWidget(self.cb, 0, 1, 1, 2)
self.grid.addWidget(self.results, 1, 0, 2, 4)
buttons = ["AC", "DEL", "√", "/",
7, 8, 9, "*",
4, 5, 6, "-",
1, 2, 3, "+",
0, ".", "="]
for button in buttons:
if col > 3:
col = 0
row += 1
buttonObject = Button(button, self.results)
if button == 0:
self.grid.addWidget(buttonObject.b, row, col, 1, 2)
col += 1
else:
self.grid.addWidget(buttonObject.b, row, col, 1, 1)
col += 1
self.widget.setLayout(self.grid)
MainWindow.setCentralWidget(self.widget)
class Widget2():
def setup(self, MainWindow, res):
self.widget = QWidget()
self.grid = QGridLayout()
self.results = QLineEdit()
self.results.setText(res)
row = 3
col = 0
self.cb = QComboBox()
self.cb.addItems(["Advance Mode", "Normal Mode"])
self.grid.addWidget(self.cb, 0, 1, 1, 2)
self.grid.addWidget(self.results, 1, 0, 2, 4)
buttons = ["AC", "DEL", "SIN", "COS",
7, 8, 9, "MOD",
4, 5, 6, "TAN",
1, 2, 3, "LOG",
0, "SQUARE", "CBRT", 'x!']
for button in buttons:
if col > 3:
col = 0
row += 1
buttonObject = Button(button, self.results)
self.grid.addWidget(buttonObject.b, row, col, 1, 1)
col += 1
self.widget.setLayout(self.grid)
MainWindow.setCentralWidget(self.widget)
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.setWindowTitle("Calculator")
self.widget1 = Widget1()
self.widget2 = Widget2()
self.startWidget1("")
def startWidget1(self, res):
global Data
self.widget1.setup(self, res)
Data = self.widget1.results.text()
self.widget1.cb.currentIndexChanged.connect(self.selectionchange1)
self.show()
def startWidget2(self, res):
global Data
self.widget2.setup(self, res)
Data = self.widget2.results.text()
self.widget2.cb.currentIndexChanged.connect(self.selectionchange2)
self.show()
def selectionchange1(self, i):
global Data
res = Data
self.startWidget2(res)
def selectionchange2(self, i):
global Data
res = Data
self.startWidget1(res)
if __name__ == "__main__":
app = QApplication(sys.argv)
w = MainWindow()
sys.exit(app.exec_())
|
normal
|
{
"blob_id": "b08cface601ee07125090f3ae03a3120974688f2",
"index": 8765,
"step-1": "<mask token>\n\n\nclass Widget2:\n\n def setup(self, MainWindow, res):\n self.widget = QWidget()\n self.grid = QGridLayout()\n self.results = QLineEdit()\n self.results.setText(res)\n row = 3\n col = 0\n self.cb = QComboBox()\n self.cb.addItems(['Advance Mode', 'Normal Mode'])\n self.grid.addWidget(self.cb, 0, 1, 1, 2)\n self.grid.addWidget(self.results, 1, 0, 2, 4)\n buttons = ['AC', 'DEL', 'SIN', 'COS', 7, 8, 9, 'MOD', 4, 5, 6,\n 'TAN', 1, 2, 3, 'LOG', 0, 'SQUARE', 'CBRT', 'x!']\n for button in buttons:\n if col > 3:\n col = 0\n row += 1\n buttonObject = Button(button, self.results)\n self.grid.addWidget(buttonObject.b, row, col, 1, 1)\n col += 1\n self.widget.setLayout(self.grid)\n MainWindow.setCentralWidget(self.widget)\n\n\nclass MainWindow(QMainWindow):\n\n def __init__(self):\n super().__init__()\n self.setWindowTitle('Calculator')\n self.widget1 = Widget1()\n self.widget2 = Widget2()\n self.startWidget1('')\n\n def startWidget1(self, res):\n global Data\n self.widget1.setup(self, res)\n Data = self.widget1.results.text()\n self.widget1.cb.currentIndexChanged.connect(self.selectionchange1)\n self.show()\n\n def startWidget2(self, res):\n global Data\n self.widget2.setup(self, res)\n Data = self.widget2.results.text()\n self.widget2.cb.currentIndexChanged.connect(self.selectionchange2)\n self.show()\n\n def selectionchange1(self, i):\n global Data\n res = Data\n self.startWidget2(res)\n\n def selectionchange2(self, i):\n global Data\n res = Data\n self.startWidget1(res)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Widget1:\n <mask token>\n\n\nclass Widget2:\n\n def setup(self, MainWindow, res):\n self.widget = QWidget()\n self.grid = QGridLayout()\n self.results = QLineEdit()\n self.results.setText(res)\n row = 3\n col = 0\n self.cb = QComboBox()\n self.cb.addItems(['Advance Mode', 'Normal Mode'])\n self.grid.addWidget(self.cb, 0, 1, 1, 2)\n self.grid.addWidget(self.results, 1, 0, 2, 4)\n buttons = ['AC', 'DEL', 'SIN', 'COS', 7, 8, 9, 'MOD', 4, 5, 6,\n 'TAN', 1, 2, 3, 'LOG', 0, 'SQUARE', 'CBRT', 'x!']\n for button in buttons:\n if col > 3:\n col = 0\n row += 1\n buttonObject = Button(button, self.results)\n self.grid.addWidget(buttonObject.b, row, col, 1, 1)\n col += 1\n self.widget.setLayout(self.grid)\n MainWindow.setCentralWidget(self.widget)\n\n\nclass MainWindow(QMainWindow):\n\n def __init__(self):\n super().__init__()\n self.setWindowTitle('Calculator')\n self.widget1 = Widget1()\n self.widget2 = Widget2()\n self.startWidget1('')\n\n def startWidget1(self, res):\n global Data\n self.widget1.setup(self, res)\n Data = self.widget1.results.text()\n self.widget1.cb.currentIndexChanged.connect(self.selectionchange1)\n self.show()\n\n def startWidget2(self, res):\n global Data\n self.widget2.setup(self, res)\n Data = self.widget2.results.text()\n self.widget2.cb.currentIndexChanged.connect(self.selectionchange2)\n self.show()\n\n def selectionchange1(self, i):\n global Data\n res = Data\n self.startWidget2(res)\n\n def selectionchange2(self, i):\n global Data\n res = Data\n self.startWidget1(res)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Button:\n <mask token>\n <mask token>\n\n\nclass Widget1:\n\n def setup(self, MainWindow, res):\n self.widget = QWidget()\n self.grid = QGridLayout()\n self.results = QLineEdit()\n self.results.setText(res)\n row = 3\n col = 0\n self.cb = QComboBox()\n self.cb.addItems(['Basic Mode', 'Advanced Mode'])\n self.grid.addWidget(self.cb, 0, 1, 1, 2)\n self.grid.addWidget(self.results, 1, 0, 2, 4)\n buttons = ['AC', 'DEL', '√', '/', 7, 8, 9, '*', 4, 5, 6, '-', 1, 2,\n 3, '+', 0, '.', '=']\n for button in buttons:\n if col > 3:\n col = 0\n row += 1\n buttonObject = Button(button, self.results)\n if button == 0:\n self.grid.addWidget(buttonObject.b, row, col, 1, 2)\n col += 1\n else:\n self.grid.addWidget(buttonObject.b, row, col, 1, 1)\n col += 1\n self.widget.setLayout(self.grid)\n MainWindow.setCentralWidget(self.widget)\n\n\nclass Widget2:\n\n def setup(self, MainWindow, res):\n self.widget = QWidget()\n self.grid = QGridLayout()\n self.results = QLineEdit()\n self.results.setText(res)\n row = 3\n col = 0\n self.cb = QComboBox()\n self.cb.addItems(['Advance Mode', 'Normal Mode'])\n self.grid.addWidget(self.cb, 0, 1, 1, 2)\n self.grid.addWidget(self.results, 1, 0, 2, 4)\n buttons = ['AC', 'DEL', 'SIN', 'COS', 7, 8, 9, 'MOD', 4, 5, 6,\n 'TAN', 1, 2, 3, 'LOG', 0, 'SQUARE', 'CBRT', 'x!']\n for button in buttons:\n if col > 3:\n col = 0\n row += 1\n buttonObject = Button(button, self.results)\n self.grid.addWidget(buttonObject.b, row, col, 1, 1)\n col += 1\n self.widget.setLayout(self.grid)\n MainWindow.setCentralWidget(self.widget)\n\n\nclass MainWindow(QMainWindow):\n\n def __init__(self):\n super().__init__()\n self.setWindowTitle('Calculator')\n self.widget1 = Widget1()\n self.widget2 = Widget2()\n self.startWidget1('')\n\n def startWidget1(self, res):\n global Data\n self.widget1.setup(self, res)\n Data = self.widget1.results.text()\n self.widget1.cb.currentIndexChanged.connect(self.selectionchange1)\n self.show()\n\n def startWidget2(self, res):\n global Data\n self.widget2.setup(self, res)\n Data = self.widget2.results.text()\n self.widget2.cb.currentIndexChanged.connect(self.selectionchange2)\n self.show()\n\n def selectionchange1(self, i):\n global Data\n res = Data\n self.startWidget2(res)\n\n def selectionchange2(self, i):\n global Data\n res = Data\n self.startWidget1(res)\n\n\n<mask token>\n",
"step-4": "<mask token>\n\n\nclass Button:\n\n def __init__(self, text, results):\n self.b = QPushButton(str(text))\n self.text = text\n self.results = results\n self.b.clicked.connect(lambda : self.handleInput(self.text))\n\n def handleInput(self, v):\n global Data\n try:\n if self.results.text() == 'INVALID!':\n self.results.setText('')\n if self.results.text() != '':\n if self.results.text()[-1] in ['*', '+', '-', '/'] and v in [\n '-', '*', '+', '/', '√', 'CBRT', 'SIN', 'COS', 'LOG',\n 'MOD', 'TAN', 'MOD']:\n return\n elif v == 'CBRT':\n self.results.setText(str(round(float(eval(self.results.\n text())) ** (1 / 3), 4)))\n elif v == 'MOD':\n if '.' in self.results.text():\n self.results.setText(str(abs(float(self.results.\n text()))))\n else:\n self.results.setText(str(abs(int(self.results.text())))\n )\n elif v == 'LOG':\n self.results.setText(str(math.log10(abs(float(eval(self\n .results.text()))))))\n elif v == 'SQUARE':\n if '.' in self.results.text():\n self.results.setText(str(float(self.results.text()) **\n 2))\n else:\n self.results.setText(str(int(self.results.text()) ** 2)\n )\n elif v == 'SIN':\n self.results.setText(str(math.sin(float(eval(self.\n results.text())))))\n elif v == 'COS':\n self.results.setText(str(math.cos(float(eval(self.\n results.text())))))\n elif v == 'TAN':\n self.results.setText(str(math.tan(float(eval(self.\n results.text())))))\n elif v == 'x!':\n if '.' in str(eval(self.results.text())):\n self.results.setText('INVALID!')\n else:\n self.results.setText(str(math.factorial(abs(int(\n eval(self.results.text()))))))\n elif self.results.text()[-1] == '/' and v == 0:\n return\n elif v == '=':\n if self.results.text()[-1] in ['*', '-', '.', '+', '/']:\n return\n res = eval(self.results.text())\n self.results.setText(str(res))\n elif v == 'AC':\n self.results.setText('')\n elif v == 'DEL':\n self.results.setText(self.results.text()[:-1])\n elif v == '√' and self.results.text() != '':\n self.results.setText(str(float(self.results.text()) ** 0.5)\n )\n elif v == '√' and self.results.text() == '':\n return\n else:\n current_value = self.results.text()\n new_value = current_value + str(v)\n self.results.setText(new_value)\n elif type(v) == int:\n current_value = self.results.text()\n new_value = current_value + str(v)\n self.results.setText(new_value)\n except:\n self.results.setText('INVALID!')\n Data = self.results.text()\n\n\nclass Widget1:\n\n def setup(self, MainWindow, res):\n self.widget = QWidget()\n self.grid = QGridLayout()\n self.results = QLineEdit()\n self.results.setText(res)\n row = 3\n col = 0\n self.cb = QComboBox()\n self.cb.addItems(['Basic Mode', 'Advanced Mode'])\n self.grid.addWidget(self.cb, 0, 1, 1, 2)\n self.grid.addWidget(self.results, 1, 0, 2, 4)\n buttons = ['AC', 'DEL', '√', '/', 7, 8, 9, '*', 4, 5, 6, '-', 1, 2,\n 3, '+', 0, '.', '=']\n for button in buttons:\n if col > 3:\n col = 0\n row += 1\n buttonObject = Button(button, self.results)\n if button == 0:\n self.grid.addWidget(buttonObject.b, row, col, 1, 2)\n col += 1\n else:\n self.grid.addWidget(buttonObject.b, row, col, 1, 1)\n col += 1\n self.widget.setLayout(self.grid)\n MainWindow.setCentralWidget(self.widget)\n\n\nclass Widget2:\n\n def setup(self, MainWindow, res):\n self.widget = QWidget()\n self.grid = QGridLayout()\n self.results = QLineEdit()\n self.results.setText(res)\n row = 3\n col = 0\n self.cb = QComboBox()\n self.cb.addItems(['Advance Mode', 'Normal Mode'])\n self.grid.addWidget(self.cb, 0, 1, 1, 2)\n self.grid.addWidget(self.results, 1, 0, 2, 4)\n buttons = ['AC', 'DEL', 'SIN', 'COS', 7, 8, 9, 'MOD', 4, 5, 6,\n 'TAN', 1, 2, 3, 'LOG', 0, 'SQUARE', 'CBRT', 'x!']\n for button in buttons:\n if col > 3:\n col = 0\n row += 1\n buttonObject = Button(button, self.results)\n self.grid.addWidget(buttonObject.b, row, col, 1, 1)\n col += 1\n self.widget.setLayout(self.grid)\n MainWindow.setCentralWidget(self.widget)\n\n\nclass MainWindow(QMainWindow):\n\n def __init__(self):\n super().__init__()\n self.setWindowTitle('Calculator')\n self.widget1 = Widget1()\n self.widget2 = Widget2()\n self.startWidget1('')\n\n def startWidget1(self, res):\n global Data\n self.widget1.setup(self, res)\n Data = self.widget1.results.text()\n self.widget1.cb.currentIndexChanged.connect(self.selectionchange1)\n self.show()\n\n def startWidget2(self, res):\n global Data\n self.widget2.setup(self, res)\n Data = self.widget2.results.text()\n self.widget2.cb.currentIndexChanged.connect(self.selectionchange2)\n self.show()\n\n def selectionchange1(self, i):\n global Data\n res = Data\n self.startWidget2(res)\n\n def selectionchange2(self, i):\n global Data\n res = Data\n self.startWidget1(res)\n\n\n<mask token>\n",
"step-5": "from PyQt5.QtWidgets import *\nimport sys\nimport math\n\nData = ''\n\n\nclass Button:\n def __init__(self, text, results):\n self.b = QPushButton(str(text))\n self.text = text\n self.results = results\n self.b.clicked.connect(lambda: self.handleInput(\n self.text)) # Important because we need to pass only function name with arguments here that is why we use lambda here\n\n def handleInput(self, v):\n global Data\n try:\n if self.results.text() == 'INVALID!':\n self.results.setText(\"\")\n if self.results.text() != '':\n if self.results.text()[-1] in ['*', '+', '-', '/'] and v in ['-', '*', '+', '/', '√', 'CBRT', \"SIN\",\n \"COS\", \"LOG\", \"MOD\", \"TAN\", \"MOD\"]:\n return\n elif v == 'CBRT':\n self.results.setText(str(round(float(eval(self.results.text())) ** (1 / 3), 4), ))\n elif v == 'MOD':\n if '.' in self.results.text():\n self.results.setText(str(abs(float(self.results.text()))))\n else:\n self.results.setText(str(abs(int(self.results.text()))))\n elif v == 'LOG':\n self.results.setText(str(math.log10(abs(float(eval(self.results.text()))))))\n elif v == 'SQUARE':\n if '.' in self.results.text():\n self.results.setText(str(float(self.results.text()) ** 2))\n else:\n self.results.setText(str(int(self.results.text()) ** 2))\n elif v == \"SIN\":\n self.results.setText(str(math.sin(float(eval(self.results.text())))))\n elif v == \"COS\":\n self.results.setText(str(math.cos(float(eval(self.results.text())))))\n elif v == \"TAN\":\n self.results.setText(str(math.tan(float(eval(self.results.text())))))\n elif v == 'x!':\n if '.' in str(eval(self.results.text())):\n self.results.setText(\"INVALID!\")\n else:\n self.results.setText(str(math.factorial(abs(int(eval(self.results.text()))))))\n elif self.results.text()[-1] == '/' and v == 0:\n return\n elif v == \"=\":\n if self.results.text()[-1] in ['*', '-', '.', '+', '/']:\n return\n res = eval(self.results.text())\n self.results.setText(str(res))\n elif v == \"AC\":\n self.results.setText(\"\")\n elif v == \"DEL\":\n self.results.setText(self.results.text()[:-1])\n elif v == \"√\" and self.results.text() != '':\n self.results.setText(str(float(self.results.text()) ** 0.5))\n elif v == \"√\" and self.results.text() == '':\n return\n else:\n current_value = self.results.text()\n new_value = current_value + str(v)\n self.results.setText(new_value)\n else:\n if type(v) == int:\n current_value = self.results.text()\n new_value = current_value + str(v)\n self.results.setText(new_value)\n except:\n self.results.setText(\"INVALID!\")\n Data = self.results.text()\n\n\nclass Widget1():\n def setup(self, MainWindow, res):\n self.widget = QWidget()\n self.grid = QGridLayout()\n self.results = QLineEdit()\n self.results.setText(res)\n\n row = 3\n col = 0\n self.cb = QComboBox()\n self.cb.addItems([\"Basic Mode\", \"Advanced Mode\"])\n self.grid.addWidget(self.cb, 0, 1, 1, 2)\n self.grid.addWidget(self.results, 1, 0, 2, 4)\n buttons = [\"AC\", \"DEL\", \"√\", \"/\",\n 7, 8, 9, \"*\",\n 4, 5, 6, \"-\",\n 1, 2, 3, \"+\",\n 0, \".\", \"=\"]\n for button in buttons:\n if col > 3:\n col = 0\n row += 1\n\n buttonObject = Button(button, self.results)\n\n if button == 0:\n self.grid.addWidget(buttonObject.b, row, col, 1, 2)\n col += 1\n else:\n self.grid.addWidget(buttonObject.b, row, col, 1, 1)\n\n col += 1\n\n self.widget.setLayout(self.grid)\n MainWindow.setCentralWidget(self.widget)\n\n\nclass Widget2():\n def setup(self, MainWindow, res):\n self.widget = QWidget()\n self.grid = QGridLayout()\n self.results = QLineEdit()\n self.results.setText(res)\n\n row = 3\n col = 0\n self.cb = QComboBox()\n self.cb.addItems([\"Advance Mode\", \"Normal Mode\"])\n self.grid.addWidget(self.cb, 0, 1, 1, 2)\n self.grid.addWidget(self.results, 1, 0, 2, 4)\n buttons = [\"AC\", \"DEL\", \"SIN\", \"COS\",\n 7, 8, 9, \"MOD\",\n 4, 5, 6, \"TAN\",\n 1, 2, 3, \"LOG\",\n 0, \"SQUARE\", \"CBRT\", 'x!']\n for button in buttons:\n if col > 3:\n col = 0\n row += 1\n buttonObject = Button(button, self.results)\n\n self.grid.addWidget(buttonObject.b, row, col, 1, 1)\n\n col += 1\n\n self.widget.setLayout(self.grid)\n MainWindow.setCentralWidget(self.widget)\n\n\nclass MainWindow(QMainWindow):\n def __init__(self):\n super().__init__()\n self.setWindowTitle(\"Calculator\")\n self.widget1 = Widget1()\n self.widget2 = Widget2()\n self.startWidget1(\"\")\n\n def startWidget1(self, res):\n global Data\n self.widget1.setup(self, res)\n Data = self.widget1.results.text()\n self.widget1.cb.currentIndexChanged.connect(self.selectionchange1)\n self.show()\n\n def startWidget2(self, res):\n global Data\n self.widget2.setup(self, res)\n Data = self.widget2.results.text()\n self.widget2.cb.currentIndexChanged.connect(self.selectionchange2)\n self.show()\n\n def selectionchange1(self, i):\n global Data\n res = Data\n self.startWidget2(res)\n\n def selectionchange2(self, i):\n global Data\n res = Data\n self.startWidget1(res)\n\n\nif __name__ == \"__main__\":\n app = QApplication(sys.argv)\n w = MainWindow()\n sys.exit(app.exec_())\n\n\n\n\n",
"step-ids": [
8,
9,
11,
13,
17
]
}
|
[
8,
9,
11,
13,
17
] |
import random
my_randoms = random.sample(100, 10)
print(my_randoms)
|
normal
|
{
"blob_id": "d39f6fca80f32a4d13764eb5cfb29999785b1d16",
"index": 1629,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nprint(my_randoms)\n",
"step-3": "<mask token>\nmy_randoms = random.sample(100, 10)\nprint(my_randoms)\n",
"step-4": "import random\nmy_randoms = random.sample(100, 10)\nprint(my_randoms)\n",
"step-5": null,
"step-ids": [
0,
1,
2,
3
]
}
|
[
0,
1,
2,
3
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def hdfs_get_filelist(blob_path, delimiter='_'):
""" Lists hdfs dir and returns named tuples with information of file based on its filename. """
def hdfs_listdir(blob_path):
command = 'hdfs dfs -ls ' + blob_path
p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE,
stderr=subprocess.STDOUT)
p.wait()
files = [item.rstrip('\n').split()[-1] for item in p.stdout.readlines()
]
if len(files) > 0:
files.pop(0)
qty_files = len(files)
return files, qty_files
files, qty_files = hdfs_listdir(blob_path)
kpis = []
if qty_files > 0:
KPI = namedtuple('KPI', ['filepath', 'filename', 'kpi_name',
'initial_date', 'final_date', 'key', 'extension'])
for file in files:
filename, ext = basename(file), splitext(basename(file))[1]
if ext == '.json':
splits = 3
kpi = KPI(filepath=file, filename=filename, kpi_name=
filename.rsplit(delimiter, splits)[0], initial_date=
filename.rsplit(delimiter, splits)[1], final_date=
filename.rsplit(delimiter, splits)[2], key=splitext(
filename.rsplit(delimiter, splits)[3])[0], extension=ext)
else:
splits = 1
kpi = KPI(filepath=file, filename=filename, kpi_name=
filename.rsplit(delimiter, splits)[0], initial_date=
None, final_date=None, key=splitext(filename.rsplit(
delimiter, splits)[1])[0], extension=ext)
kpis.append(kpi)
return kpis, len(kpis)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def hdfs_get_filelist(blob_path, delimiter='_'):
""" Lists hdfs dir and returns named tuples with information of file based on its filename. """
def hdfs_listdir(blob_path):
command = 'hdfs dfs -ls ' + blob_path
p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE,
stderr=subprocess.STDOUT)
p.wait()
files = [item.rstrip('\n').split()[-1] for item in p.stdout.readlines()
]
if len(files) > 0:
files.pop(0)
qty_files = len(files)
return files, qty_files
files, qty_files = hdfs_listdir(blob_path)
kpis = []
if qty_files > 0:
KPI = namedtuple('KPI', ['filepath', 'filename', 'kpi_name',
'initial_date', 'final_date', 'key', 'extension'])
for file in files:
filename, ext = basename(file), splitext(basename(file))[1]
if ext == '.json':
splits = 3
kpi = KPI(filepath=file, filename=filename, kpi_name=
filename.rsplit(delimiter, splits)[0], initial_date=
filename.rsplit(delimiter, splits)[1], final_date=
filename.rsplit(delimiter, splits)[2], key=splitext(
filename.rsplit(delimiter, splits)[3])[0], extension=ext)
else:
splits = 1
kpi = KPI(filepath=file, filename=filename, kpi_name=
filename.rsplit(delimiter, splits)[0], initial_date=
None, final_date=None, key=splitext(filename.rsplit(
delimiter, splits)[1])[0], extension=ext)
kpis.append(kpi)
return kpis, len(kpis)
kpis, files = hdfs_get_filelist(
'wasbs://hdiprojsupplydatalake-2018-07-12t15-58-09-078z@hdiprojsupplydatalake.blob.core.windows.net/estrutura_final/'
)
<|reserved_special_token_1|>
import subprocess
from collections import namedtuple
from os.path import basename, splitext
def hdfs_get_filelist(blob_path, delimiter='_'):
""" Lists hdfs dir and returns named tuples with information of file based on its filename. """
def hdfs_listdir(blob_path):
command = 'hdfs dfs -ls ' + blob_path
p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE,
stderr=subprocess.STDOUT)
p.wait()
files = [item.rstrip('\n').split()[-1] for item in p.stdout.readlines()
]
if len(files) > 0:
files.pop(0)
qty_files = len(files)
return files, qty_files
files, qty_files = hdfs_listdir(blob_path)
kpis = []
if qty_files > 0:
KPI = namedtuple('KPI', ['filepath', 'filename', 'kpi_name',
'initial_date', 'final_date', 'key', 'extension'])
for file in files:
filename, ext = basename(file), splitext(basename(file))[1]
if ext == '.json':
splits = 3
kpi = KPI(filepath=file, filename=filename, kpi_name=
filename.rsplit(delimiter, splits)[0], initial_date=
filename.rsplit(delimiter, splits)[1], final_date=
filename.rsplit(delimiter, splits)[2], key=splitext(
filename.rsplit(delimiter, splits)[3])[0], extension=ext)
else:
splits = 1
kpi = KPI(filepath=file, filename=filename, kpi_name=
filename.rsplit(delimiter, splits)[0], initial_date=
None, final_date=None, key=splitext(filename.rsplit(
delimiter, splits)[1])[0], extension=ext)
kpis.append(kpi)
return kpis, len(kpis)
kpis, files = hdfs_get_filelist(
'wasbs://hdiprojsupplydatalake-2018-07-12t15-58-09-078z@hdiprojsupplydatalake.blob.core.windows.net/estrutura_final/'
)
<|reserved_special_token_1|>
import subprocess
from collections import namedtuple
from os.path import basename, splitext
def hdfs_get_filelist(blob_path, delimiter="_"):
""" Lists hdfs dir and returns named tuples with information of file based on its filename. """
def hdfs_listdir(blob_path):
command = 'hdfs dfs -ls ' + blob_path
p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
p.wait()
files = [item.rstrip("\n").split()[-1] for item in p.stdout.readlines()]
if len(files) > 0:
files.pop(0) # remove summary from ls: "found n items".
qty_files = len(files)
return files, qty_files
files, qty_files = hdfs_listdir(blob_path)
kpis = []
# If there are items in dir.
if qty_files > 0:
KPI = namedtuple('KPI', ["filepath", "filename", "kpi_name", "initial_date", "final_date", "key", "extension"])
for file in files:
filename, ext = basename(file), splitext(basename(file))[1]
if ext == ".json":
splits = 3
kpi = KPI(
filepath=file
, filename=filename
, kpi_name=filename.rsplit(delimiter, splits)[0]
, initial_date=filename.rsplit(delimiter, splits)[1]
, final_date=filename.rsplit(delimiter, splits)[2]
, key=splitext(filename.rsplit(delimiter, splits)[3])[0]
, extension=ext
)
else: # ext != ".json":
splits = 1
kpi = KPI(
filepath=file
, filename=filename
, kpi_name=filename.rsplit(delimiter, splits)[0]
, initial_date=None
, final_date=None
, key=splitext(filename.rsplit(delimiter, splits)[1])[0]
, extension=ext
)
kpis.append(kpi)
return kpis, len(kpis)
kpis, files = hdfs_get_filelist("wasbs://hdiprojsupplydatalake-2018-07-12t15-58-09-078z@hdiprojsupplydatalake.blob.core.windows.net/estrutura_final/")
|
flexible
|
{
"blob_id": "6909e70db4f907e26ad604f95c79a405010907bd",
"index": 2086,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef hdfs_get_filelist(blob_path, delimiter='_'):\n \"\"\" Lists hdfs dir and returns named tuples with information of file based on its filename. \"\"\"\n\n def hdfs_listdir(blob_path):\n command = 'hdfs dfs -ls ' + blob_path\n p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE,\n stderr=subprocess.STDOUT)\n p.wait()\n files = [item.rstrip('\\n').split()[-1] for item in p.stdout.readlines()\n ]\n if len(files) > 0:\n files.pop(0)\n qty_files = len(files)\n return files, qty_files\n files, qty_files = hdfs_listdir(blob_path)\n kpis = []\n if qty_files > 0:\n KPI = namedtuple('KPI', ['filepath', 'filename', 'kpi_name',\n 'initial_date', 'final_date', 'key', 'extension'])\n for file in files:\n filename, ext = basename(file), splitext(basename(file))[1]\n if ext == '.json':\n splits = 3\n kpi = KPI(filepath=file, filename=filename, kpi_name=\n filename.rsplit(delimiter, splits)[0], initial_date=\n filename.rsplit(delimiter, splits)[1], final_date=\n filename.rsplit(delimiter, splits)[2], key=splitext(\n filename.rsplit(delimiter, splits)[3])[0], extension=ext)\n else:\n splits = 1\n kpi = KPI(filepath=file, filename=filename, kpi_name=\n filename.rsplit(delimiter, splits)[0], initial_date=\n None, final_date=None, key=splitext(filename.rsplit(\n delimiter, splits)[1])[0], extension=ext)\n kpis.append(kpi)\n return kpis, len(kpis)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef hdfs_get_filelist(blob_path, delimiter='_'):\n \"\"\" Lists hdfs dir and returns named tuples with information of file based on its filename. \"\"\"\n\n def hdfs_listdir(blob_path):\n command = 'hdfs dfs -ls ' + blob_path\n p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE,\n stderr=subprocess.STDOUT)\n p.wait()\n files = [item.rstrip('\\n').split()[-1] for item in p.stdout.readlines()\n ]\n if len(files) > 0:\n files.pop(0)\n qty_files = len(files)\n return files, qty_files\n files, qty_files = hdfs_listdir(blob_path)\n kpis = []\n if qty_files > 0:\n KPI = namedtuple('KPI', ['filepath', 'filename', 'kpi_name',\n 'initial_date', 'final_date', 'key', 'extension'])\n for file in files:\n filename, ext = basename(file), splitext(basename(file))[1]\n if ext == '.json':\n splits = 3\n kpi = KPI(filepath=file, filename=filename, kpi_name=\n filename.rsplit(delimiter, splits)[0], initial_date=\n filename.rsplit(delimiter, splits)[1], final_date=\n filename.rsplit(delimiter, splits)[2], key=splitext(\n filename.rsplit(delimiter, splits)[3])[0], extension=ext)\n else:\n splits = 1\n kpi = KPI(filepath=file, filename=filename, kpi_name=\n filename.rsplit(delimiter, splits)[0], initial_date=\n None, final_date=None, key=splitext(filename.rsplit(\n delimiter, splits)[1])[0], extension=ext)\n kpis.append(kpi)\n return kpis, len(kpis)\n\n\nkpis, files = hdfs_get_filelist(\n 'wasbs://hdiprojsupplydatalake-2018-07-12t15-58-09-078z@hdiprojsupplydatalake.blob.core.windows.net/estrutura_final/'\n )\n",
"step-4": "import subprocess\nfrom collections import namedtuple\nfrom os.path import basename, splitext\n\n\ndef hdfs_get_filelist(blob_path, delimiter='_'):\n \"\"\" Lists hdfs dir and returns named tuples with information of file based on its filename. \"\"\"\n\n def hdfs_listdir(blob_path):\n command = 'hdfs dfs -ls ' + blob_path\n p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE,\n stderr=subprocess.STDOUT)\n p.wait()\n files = [item.rstrip('\\n').split()[-1] for item in p.stdout.readlines()\n ]\n if len(files) > 0:\n files.pop(0)\n qty_files = len(files)\n return files, qty_files\n files, qty_files = hdfs_listdir(blob_path)\n kpis = []\n if qty_files > 0:\n KPI = namedtuple('KPI', ['filepath', 'filename', 'kpi_name',\n 'initial_date', 'final_date', 'key', 'extension'])\n for file in files:\n filename, ext = basename(file), splitext(basename(file))[1]\n if ext == '.json':\n splits = 3\n kpi = KPI(filepath=file, filename=filename, kpi_name=\n filename.rsplit(delimiter, splits)[0], initial_date=\n filename.rsplit(delimiter, splits)[1], final_date=\n filename.rsplit(delimiter, splits)[2], key=splitext(\n filename.rsplit(delimiter, splits)[3])[0], extension=ext)\n else:\n splits = 1\n kpi = KPI(filepath=file, filename=filename, kpi_name=\n filename.rsplit(delimiter, splits)[0], initial_date=\n None, final_date=None, key=splitext(filename.rsplit(\n delimiter, splits)[1])[0], extension=ext)\n kpis.append(kpi)\n return kpis, len(kpis)\n\n\nkpis, files = hdfs_get_filelist(\n 'wasbs://hdiprojsupplydatalake-2018-07-12t15-58-09-078z@hdiprojsupplydatalake.blob.core.windows.net/estrutura_final/'\n )\n",
"step-5": "import subprocess\nfrom collections import namedtuple\nfrom os.path import basename, splitext\n\n\ndef hdfs_get_filelist(blob_path, delimiter=\"_\"):\n \"\"\" Lists hdfs dir and returns named tuples with information of file based on its filename. \"\"\"\n\n def hdfs_listdir(blob_path):\n command = 'hdfs dfs -ls ' + blob_path\n p = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)\n p.wait()\n files = [item.rstrip(\"\\n\").split()[-1] for item in p.stdout.readlines()]\n if len(files) > 0:\n files.pop(0) # remove summary from ls: \"found n items\".\n qty_files = len(files)\n return files, qty_files\n\n files, qty_files = hdfs_listdir(blob_path)\n kpis = []\n # If there are items in dir.\n if qty_files > 0:\n KPI = namedtuple('KPI', [\"filepath\", \"filename\", \"kpi_name\", \"initial_date\", \"final_date\", \"key\", \"extension\"])\n for file in files:\n filename, ext = basename(file), splitext(basename(file))[1]\n if ext == \".json\":\n splits = 3\n kpi = KPI(\n filepath=file\n , filename=filename\n , kpi_name=filename.rsplit(delimiter, splits)[0]\n , initial_date=filename.rsplit(delimiter, splits)[1]\n , final_date=filename.rsplit(delimiter, splits)[2]\n , key=splitext(filename.rsplit(delimiter, splits)[3])[0]\n , extension=ext\n )\n else: # ext != \".json\":\n splits = 1\n kpi = KPI(\n filepath=file\n , filename=filename\n , kpi_name=filename.rsplit(delimiter, splits)[0]\n , initial_date=None\n , final_date=None\n , key=splitext(filename.rsplit(delimiter, splits)[1])[0]\n , extension=ext\n )\n kpis.append(kpi)\n return kpis, len(kpis)\n\n\nkpis, files = hdfs_get_filelist(\"wasbs://hdiprojsupplydatalake-2018-07-12t15-58-09-078z@hdiprojsupplydatalake.blob.core.windows.net/estrutura_final/\")\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def transform_word(word):
"""
将低频词转为四种形式之一。
"""
if any(c.isdigit() for c in word):
return '_NUMERIC_'
if word.isupper():
return '_ALL_CAP_'
if word[-1].isupper():
return '_LAST_CAP_'
return '_RARE_'
def sub_rare(fname, out_name):
count_dict = defaultdict(int)
with open(fname) as f:
for line in f:
line = line.strip()
if not line:
continue
word = line.partition(' ')[0]
count_dict[word] += 1
fout = open(out_name, 'w')
with open(fname) as f:
for line in f:
line = line.strip()
if not line:
fout.write('\n')
continue
word, sep, tag = line.partition(' ')
if count_dict[word] < 5:
word = transform_word(word)
fout.write('%s %s\n' % (word, tag))
fout.close()
return
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def transform_word(word):
"""
将低频词转为四种形式之一。
"""
if any(c.isdigit() for c in word):
return '_NUMERIC_'
if word.isupper():
return '_ALL_CAP_'
if word[-1].isupper():
return '_LAST_CAP_'
return '_RARE_'
def sub_rare(fname, out_name):
count_dict = defaultdict(int)
with open(fname) as f:
for line in f:
line = line.strip()
if not line:
continue
word = line.partition(' ')[0]
count_dict[word] += 1
fout = open(out_name, 'w')
with open(fname) as f:
for line in f:
line = line.strip()
if not line:
fout.write('\n')
continue
word, sep, tag = line.partition(' ')
if count_dict[word] < 5:
word = transform_word(word)
fout.write('%s %s\n' % (word, tag))
fout.close()
return
if __name__ == '__main__':
fname = sys.argv[1]
sub_rare(fname, fname + '.sub_rare')
<|reserved_special_token_1|>
import sys
from collections import defaultdict
def transform_word(word):
"""
将低频词转为四种形式之一。
"""
if any(c.isdigit() for c in word):
return '_NUMERIC_'
if word.isupper():
return '_ALL_CAP_'
if word[-1].isupper():
return '_LAST_CAP_'
return '_RARE_'
def sub_rare(fname, out_name):
count_dict = defaultdict(int)
with open(fname) as f:
for line in f:
line = line.strip()
if not line:
continue
word = line.partition(' ')[0]
count_dict[word] += 1
fout = open(out_name, 'w')
with open(fname) as f:
for line in f:
line = line.strip()
if not line:
fout.write('\n')
continue
word, sep, tag = line.partition(' ')
if count_dict[word] < 5:
word = transform_word(word)
fout.write('%s %s\n' % (word, tag))
fout.close()
return
if __name__ == '__main__':
fname = sys.argv[1]
sub_rare(fname, fname + '.sub_rare')
<|reserved_special_token_1|>
#!/usr/bin/env python
#encoding:utf8
import sys
from collections import defaultdict
def transform_word(word):
'''
将低频词转为四种形式之一。
'''
if any(c.isdigit() for c in word):
return '_NUMERIC_'
if word.isupper():
return '_ALL_CAP_'
if word[-1].isupper():
return '_LAST_CAP_'
return '_RARE_'
def sub_rare(fname, out_name):
count_dict = defaultdict(int)
# 先统计词频。
with open(fname) as f:
for line in f:
line = line.strip()
if not line:
continue
word = line.partition(' ')[0]
count_dict[word] += 1
# 然后替换低频词。
fout = open(out_name, 'w')
with open(fname) as f:
for line in f:
line = line.strip()
if not line:
fout.write('\n')
continue
word, sep, tag = line.partition(' ')
if count_dict[word] < 5:
# word = '_RARE_'
word = transform_word(word)
fout.write('%s %s\n' % (word, tag))
fout.close()
return
if __name__ == '__main__':
fname = sys.argv[1]
sub_rare(fname, fname + '.sub_rare')
|
flexible
|
{
"blob_id": "92a1f86ce8cc9563d455f9b1336dbcd298f01b6d",
"index": 1747,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef transform_word(word):\n \"\"\"\n 将低频词转为四种形式之一。\n \"\"\"\n if any(c.isdigit() for c in word):\n return '_NUMERIC_'\n if word.isupper():\n return '_ALL_CAP_'\n if word[-1].isupper():\n return '_LAST_CAP_'\n return '_RARE_'\n\n\ndef sub_rare(fname, out_name):\n count_dict = defaultdict(int)\n with open(fname) as f:\n for line in f:\n line = line.strip()\n if not line:\n continue\n word = line.partition(' ')[0]\n count_dict[word] += 1\n fout = open(out_name, 'w')\n with open(fname) as f:\n for line in f:\n line = line.strip()\n if not line:\n fout.write('\\n')\n continue\n word, sep, tag = line.partition(' ')\n if count_dict[word] < 5:\n word = transform_word(word)\n fout.write('%s %s\\n' % (word, tag))\n fout.close()\n return\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef transform_word(word):\n \"\"\"\n 将低频词转为四种形式之一。\n \"\"\"\n if any(c.isdigit() for c in word):\n return '_NUMERIC_'\n if word.isupper():\n return '_ALL_CAP_'\n if word[-1].isupper():\n return '_LAST_CAP_'\n return '_RARE_'\n\n\ndef sub_rare(fname, out_name):\n count_dict = defaultdict(int)\n with open(fname) as f:\n for line in f:\n line = line.strip()\n if not line:\n continue\n word = line.partition(' ')[0]\n count_dict[word] += 1\n fout = open(out_name, 'w')\n with open(fname) as f:\n for line in f:\n line = line.strip()\n if not line:\n fout.write('\\n')\n continue\n word, sep, tag = line.partition(' ')\n if count_dict[word] < 5:\n word = transform_word(word)\n fout.write('%s %s\\n' % (word, tag))\n fout.close()\n return\n\n\nif __name__ == '__main__':\n fname = sys.argv[1]\n sub_rare(fname, fname + '.sub_rare')\n",
"step-4": "import sys\nfrom collections import defaultdict\n\n\ndef transform_word(word):\n \"\"\"\n 将低频词转为四种形式之一。\n \"\"\"\n if any(c.isdigit() for c in word):\n return '_NUMERIC_'\n if word.isupper():\n return '_ALL_CAP_'\n if word[-1].isupper():\n return '_LAST_CAP_'\n return '_RARE_'\n\n\ndef sub_rare(fname, out_name):\n count_dict = defaultdict(int)\n with open(fname) as f:\n for line in f:\n line = line.strip()\n if not line:\n continue\n word = line.partition(' ')[0]\n count_dict[word] += 1\n fout = open(out_name, 'w')\n with open(fname) as f:\n for line in f:\n line = line.strip()\n if not line:\n fout.write('\\n')\n continue\n word, sep, tag = line.partition(' ')\n if count_dict[word] < 5:\n word = transform_word(word)\n fout.write('%s %s\\n' % (word, tag))\n fout.close()\n return\n\n\nif __name__ == '__main__':\n fname = sys.argv[1]\n sub_rare(fname, fname + '.sub_rare')\n",
"step-5": "#!/usr/bin/env python\n#encoding:utf8\nimport sys\nfrom collections import defaultdict\n\ndef transform_word(word):\n '''\n 将低频词转为四种形式之一。\n '''\n if any(c.isdigit() for c in word):\n return '_NUMERIC_'\n if word.isupper():\n return '_ALL_CAP_'\n if word[-1].isupper():\n return '_LAST_CAP_'\n return '_RARE_'\ndef sub_rare(fname, out_name):\n count_dict = defaultdict(int)\n # 先统计词频。\n with open(fname) as f:\n for line in f:\n line = line.strip()\n if not line:\n continue\n word = line.partition(' ')[0]\n count_dict[word] += 1\n # 然后替换低频词。\n fout = open(out_name, 'w')\n with open(fname) as f:\n for line in f:\n line = line.strip()\n if not line:\n fout.write('\\n')\n continue\n word, sep, tag = line.partition(' ')\n if count_dict[word] < 5:\n # word = '_RARE_'\n word = transform_word(word)\n fout.write('%s %s\\n' % (word, tag))\n fout.close()\n return\n\nif __name__ == '__main__':\n fname = sys.argv[1]\n sub_rare(fname, fname + '.sub_rare')\n",
"step-ids": [
0,
2,
3,
4,
5
]
}
|
[
0,
2,
3,
4,
5
] |
<|reserved_special_token_0|>
class CommentViewSet(viewsets.GenericViewSet, mixins.ListModelMixin, mixins
.RetrieveModelMixin):
queryset = Comment.objects.all()
def get_serializer_class(self):
if self.action == 'retrieve':
if self.get_object().level < 3:
return CommentSerializer
return AllCommentSerializer
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class PostViewSet(viewsets.ModelViewSet):
<|reserved_special_token_0|>
<|reserved_special_token_0|>
class CommentViewSet(viewsets.GenericViewSet, mixins.ListModelMixin, mixins
.RetrieveModelMixin):
queryset = Comment.objects.all()
def get_serializer_class(self):
if self.action == 'retrieve':
if self.get_object().level < 3:
return CommentSerializer
return AllCommentSerializer
<|reserved_special_token_1|>
<|reserved_special_token_0|>
class PostViewSet(viewsets.ModelViewSet):
serializer_class = PostSerializer
queryset = Post.objects.all()
class CommentViewSet(viewsets.GenericViewSet, mixins.ListModelMixin, mixins
.RetrieveModelMixin):
queryset = Comment.objects.all()
def get_serializer_class(self):
if self.action == 'retrieve':
if self.get_object().level < 3:
return CommentSerializer
return AllCommentSerializer
<|reserved_special_token_1|>
from rest_framework import viewsets, mixins
from .models import Comment, Post
from .serializer import CommentSerializer, PostSerializer, AllCommentSerializer
class PostViewSet(viewsets.ModelViewSet):
serializer_class = PostSerializer
queryset = Post.objects.all()
class CommentViewSet(viewsets.GenericViewSet, mixins.ListModelMixin, mixins
.RetrieveModelMixin):
queryset = Comment.objects.all()
def get_serializer_class(self):
if self.action == 'retrieve':
if self.get_object().level < 3:
return CommentSerializer
return AllCommentSerializer
|
flexible
|
{
"blob_id": "9bc13c608c079cbf23ed04f29edd1fd836214cde",
"index": 282,
"step-1": "<mask token>\n\n\nclass CommentViewSet(viewsets.GenericViewSet, mixins.ListModelMixin, mixins\n .RetrieveModelMixin):\n queryset = Comment.objects.all()\n\n def get_serializer_class(self):\n if self.action == 'retrieve':\n if self.get_object().level < 3:\n return CommentSerializer\n return AllCommentSerializer\n",
"step-2": "<mask token>\n\n\nclass PostViewSet(viewsets.ModelViewSet):\n <mask token>\n <mask token>\n\n\nclass CommentViewSet(viewsets.GenericViewSet, mixins.ListModelMixin, mixins\n .RetrieveModelMixin):\n queryset = Comment.objects.all()\n\n def get_serializer_class(self):\n if self.action == 'retrieve':\n if self.get_object().level < 3:\n return CommentSerializer\n return AllCommentSerializer\n",
"step-3": "<mask token>\n\n\nclass PostViewSet(viewsets.ModelViewSet):\n serializer_class = PostSerializer\n queryset = Post.objects.all()\n\n\nclass CommentViewSet(viewsets.GenericViewSet, mixins.ListModelMixin, mixins\n .RetrieveModelMixin):\n queryset = Comment.objects.all()\n\n def get_serializer_class(self):\n if self.action == 'retrieve':\n if self.get_object().level < 3:\n return CommentSerializer\n return AllCommentSerializer\n",
"step-4": "from rest_framework import viewsets, mixins\nfrom .models import Comment, Post\nfrom .serializer import CommentSerializer, PostSerializer, AllCommentSerializer\n\n\nclass PostViewSet(viewsets.ModelViewSet):\n serializer_class = PostSerializer\n queryset = Post.objects.all()\n\n\nclass CommentViewSet(viewsets.GenericViewSet, mixins.ListModelMixin, mixins\n .RetrieveModelMixin):\n queryset = Comment.objects.all()\n\n def get_serializer_class(self):\n if self.action == 'retrieve':\n if self.get_object().level < 3:\n return CommentSerializer\n return AllCommentSerializer\n",
"step-5": null,
"step-ids": [
3,
4,
5,
6
]
}
|
[
3,
4,
5,
6
] |
import numpy as np
from scipy.stats import multivariate_normal
from functions.io_data import read_data, write_data
np.random.seed(0)
class IsingModel():
def __init__(self, image, J, rate, sigma):
self.width = image.shape[0]
self.height = image.shape[1]
self._J = J
self._rate = rate
self._sigma = sigma
self.image, self.logodds = self.presenting_image(image)
def presenting_image(self, image):
logodds = multivariate_normal.logpdf(image.flatten(), mean=+1, cov=self._sigma ** 2) - multivariate_normal.logpdf(image.flatten(), mean=-1, cov=self._sigma ** 2)
logodds = np.reshape(logodds, image.shape)
pr_plus1 = 1 / (1 + np.exp(-1*logodds)) # sigmoid(logodds) # plus 1 -> +1 -> 1 / (1 + exp(logodds)) -> sigmoid(x) = 1 / (1 + exp{x})
return 2 * pr_plus1 - 1, logodds
def neighbors(self, x, y):
nbrs = []
if x == 0:
nbrs.append(self.image[self.width - 1, y])
else:
nbrs.append(self.image[x - 1, y])
if x == self.width - 1:
nbrs.append(self.image[0, y])
else:
nbrs.append(self.image[x + 1, y])
if y == 0:
nbrs.append(self.image[x, self.height - 1])
else:
nbrs.append(self.image[x, y - 1])
if y == self.height - 1:
nbrs.append(self.image[x, 0])
else:
nbrs.append(self.image[x, y + 1])
return nbrs
def interaction_potentials(self, x, y):
nbrs = self.neighbors(x, y)
return sum(nbrs)
def variational_inference(self, x, y):
E = self._J * self.interaction_potentials(x, y)
self.image[x, y] = (1 - self._rate) * self.image[x, y] + self._rate * np.tanh(E + 0.5 * self.logodds[x, y])
def denoising(image, iterations, rate, sigma, J=3):
ising = IsingModel(image, J=J, rate=rate, sigma=sigma)
for i in range(iterations):
for x in range(image.shape[0]):
for y in range(image.shape[1]):
ising.variational_inference(x, y)
return ising.image
if __name__ == "__main__":
for img in range(1,5):
print("Denoising for image " + str(img))
data, image = read_data("../a1/"+str(img)+"_noise.txt", True)
print(data.shape)
print(image.shape)
image[image == 0] = -1
image[image == 255] = 1
iterations = 15
J = 3
sigma = 2
rate = 0.5
d_img = denoising(image, iterations=iterations, rate=rate, sigma=sigma)
d_img[d_img >= 0] = 255
d_img[d_img < 0] = 0
print(d_img.shape)
height = d_img.shape[0]
width = d_img.shape[1]
counter = 0
for i in range(0, width):
for j in range(0, height):
data[counter][2] = d_img[j][i][0]
counter = counter + 1
write_data(data, "../output/vi/"+str(img)+"_denoise.txt")
read_data("../output/vi/"+str(img)+"_denoise.txt", True, save=True, save_name="../output/vi/"+str(img)+"_denoise.png")
print("Finished writing data. Please check "+str(img)+"_denoise.png \n")
|
normal
|
{
"blob_id": "6aa74826f9ca0803fa8c1d5af1d4cec4980e2ce6",
"index": 9064,
"step-1": "<mask token>\n\n\nclass IsingModel:\n\n def __init__(self, image, J, rate, sigma):\n self.width = image.shape[0]\n self.height = image.shape[1]\n self._J = J\n self._rate = rate\n self._sigma = sigma\n self.image, self.logodds = self.presenting_image(image)\n <mask token>\n <mask token>\n\n def interaction_potentials(self, x, y):\n nbrs = self.neighbors(x, y)\n return sum(nbrs)\n\n def variational_inference(self, x, y):\n E = self._J * self.interaction_potentials(x, y)\n self.image[x, y] = (1 - self._rate) * self.image[x, y\n ] + self._rate * np.tanh(E + 0.5 * self.logodds[x, y])\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass IsingModel:\n\n def __init__(self, image, J, rate, sigma):\n self.width = image.shape[0]\n self.height = image.shape[1]\n self._J = J\n self._rate = rate\n self._sigma = sigma\n self.image, self.logodds = self.presenting_image(image)\n <mask token>\n\n def neighbors(self, x, y):\n nbrs = []\n if x == 0:\n nbrs.append(self.image[self.width - 1, y])\n else:\n nbrs.append(self.image[x - 1, y])\n if x == self.width - 1:\n nbrs.append(self.image[0, y])\n else:\n nbrs.append(self.image[x + 1, y])\n if y == 0:\n nbrs.append(self.image[x, self.height - 1])\n else:\n nbrs.append(self.image[x, y - 1])\n if y == self.height - 1:\n nbrs.append(self.image[x, 0])\n else:\n nbrs.append(self.image[x, y + 1])\n return nbrs\n\n def interaction_potentials(self, x, y):\n nbrs = self.neighbors(x, y)\n return sum(nbrs)\n\n def variational_inference(self, x, y):\n E = self._J * self.interaction_potentials(x, y)\n self.image[x, y] = (1 - self._rate) * self.image[x, y\n ] + self._rate * np.tanh(E + 0.5 * self.logodds[x, y])\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass IsingModel:\n\n def __init__(self, image, J, rate, sigma):\n self.width = image.shape[0]\n self.height = image.shape[1]\n self._J = J\n self._rate = rate\n self._sigma = sigma\n self.image, self.logodds = self.presenting_image(image)\n\n def presenting_image(self, image):\n logodds = multivariate_normal.logpdf(image.flatten(), mean=+1, cov=\n self._sigma ** 2) - multivariate_normal.logpdf(image.flatten(),\n mean=-1, cov=self._sigma ** 2)\n logodds = np.reshape(logodds, image.shape)\n pr_plus1 = 1 / (1 + np.exp(-1 * logodds))\n return 2 * pr_plus1 - 1, logodds\n\n def neighbors(self, x, y):\n nbrs = []\n if x == 0:\n nbrs.append(self.image[self.width - 1, y])\n else:\n nbrs.append(self.image[x - 1, y])\n if x == self.width - 1:\n nbrs.append(self.image[0, y])\n else:\n nbrs.append(self.image[x + 1, y])\n if y == 0:\n nbrs.append(self.image[x, self.height - 1])\n else:\n nbrs.append(self.image[x, y - 1])\n if y == self.height - 1:\n nbrs.append(self.image[x, 0])\n else:\n nbrs.append(self.image[x, y + 1])\n return nbrs\n\n def interaction_potentials(self, x, y):\n nbrs = self.neighbors(x, y)\n return sum(nbrs)\n\n def variational_inference(self, x, y):\n E = self._J * self.interaction_potentials(x, y)\n self.image[x, y] = (1 - self._rate) * self.image[x, y\n ] + self._rate * np.tanh(E + 0.5 * self.logodds[x, y])\n\n\n<mask token>\n",
"step-4": "<mask token>\n\n\nclass IsingModel:\n\n def __init__(self, image, J, rate, sigma):\n self.width = image.shape[0]\n self.height = image.shape[1]\n self._J = J\n self._rate = rate\n self._sigma = sigma\n self.image, self.logodds = self.presenting_image(image)\n\n def presenting_image(self, image):\n logodds = multivariate_normal.logpdf(image.flatten(), mean=+1, cov=\n self._sigma ** 2) - multivariate_normal.logpdf(image.flatten(),\n mean=-1, cov=self._sigma ** 2)\n logodds = np.reshape(logodds, image.shape)\n pr_plus1 = 1 / (1 + np.exp(-1 * logodds))\n return 2 * pr_plus1 - 1, logodds\n\n def neighbors(self, x, y):\n nbrs = []\n if x == 0:\n nbrs.append(self.image[self.width - 1, y])\n else:\n nbrs.append(self.image[x - 1, y])\n if x == self.width - 1:\n nbrs.append(self.image[0, y])\n else:\n nbrs.append(self.image[x + 1, y])\n if y == 0:\n nbrs.append(self.image[x, self.height - 1])\n else:\n nbrs.append(self.image[x, y - 1])\n if y == self.height - 1:\n nbrs.append(self.image[x, 0])\n else:\n nbrs.append(self.image[x, y + 1])\n return nbrs\n\n def interaction_potentials(self, x, y):\n nbrs = self.neighbors(x, y)\n return sum(nbrs)\n\n def variational_inference(self, x, y):\n E = self._J * self.interaction_potentials(x, y)\n self.image[x, y] = (1 - self._rate) * self.image[x, y\n ] + self._rate * np.tanh(E + 0.5 * self.logodds[x, y])\n\n\ndef denoising(image, iterations, rate, sigma, J=3):\n ising = IsingModel(image, J=J, rate=rate, sigma=sigma)\n for i in range(iterations):\n for x in range(image.shape[0]):\n for y in range(image.shape[1]):\n ising.variational_inference(x, y)\n return ising.image\n\n\n<mask token>\n",
"step-5": "import numpy as np\nfrom scipy.stats import multivariate_normal\nfrom functions.io_data import read_data, write_data\n\nnp.random.seed(0)\n\nclass IsingModel():\n\n def __init__(self, image, J, rate, sigma):\n self.width = image.shape[0]\n self.height = image.shape[1]\n self._J = J\n self._rate = rate\n self._sigma = sigma\n\n self.image, self.logodds = self.presenting_image(image)\n\n def presenting_image(self, image):\n logodds = multivariate_normal.logpdf(image.flatten(), mean=+1, cov=self._sigma ** 2) - multivariate_normal.logpdf(image.flatten(), mean=-1, cov=self._sigma ** 2)\n logodds = np.reshape(logodds, image.shape)\n pr_plus1 = 1 / (1 + np.exp(-1*logodds)) # sigmoid(logodds) # plus 1 -> +1 -> 1 / (1 + exp(logodds)) -> sigmoid(x) = 1 / (1 + exp{x})\n return 2 * pr_plus1 - 1, logodds\n\n def neighbors(self, x, y):\n nbrs = []\n\n if x == 0:\n nbrs.append(self.image[self.width - 1, y])\n else:\n nbrs.append(self.image[x - 1, y])\n\n if x == self.width - 1:\n nbrs.append(self.image[0, y])\n else:\n nbrs.append(self.image[x + 1, y])\n\n if y == 0:\n nbrs.append(self.image[x, self.height - 1])\n else:\n nbrs.append(self.image[x, y - 1])\n\n if y == self.height - 1:\n nbrs.append(self.image[x, 0])\n else:\n nbrs.append(self.image[x, y + 1])\n\n return nbrs\n\n def interaction_potentials(self, x, y):\n nbrs = self.neighbors(x, y)\n return sum(nbrs)\n\n def variational_inference(self, x, y):\n E = self._J * self.interaction_potentials(x, y)\n self.image[x, y] = (1 - self._rate) * self.image[x, y] + self._rate * np.tanh(E + 0.5 * self.logodds[x, y])\n\n\ndef denoising(image, iterations, rate, sigma, J=3):\n ising = IsingModel(image, J=J, rate=rate, sigma=sigma)\n\n for i in range(iterations):\n for x in range(image.shape[0]):\n for y in range(image.shape[1]):\n ising.variational_inference(x, y)\n\n return ising.image\n\nif __name__ == \"__main__\":\n for img in range(1,5):\n print(\"Denoising for image \" + str(img))\n data, image = read_data(\"../a1/\"+str(img)+\"_noise.txt\", True)\n\n print(data.shape)\n print(image.shape)\n\n image[image == 0] = -1\n image[image == 255] = 1\n\n iterations = 15\n J = 3\n sigma = 2\n rate = 0.5\n\n d_img = denoising(image, iterations=iterations, rate=rate, sigma=sigma)\n\n d_img[d_img >= 0] = 255\n d_img[d_img < 0] = 0\n\n print(d_img.shape)\n height = d_img.shape[0]\n width = d_img.shape[1]\n counter = 0\n\n for i in range(0, width):\n for j in range(0, height):\n data[counter][2] = d_img[j][i][0]\n counter = counter + 1\n\n write_data(data, \"../output/vi/\"+str(img)+\"_denoise.txt\")\n read_data(\"../output/vi/\"+str(img)+\"_denoise.txt\", True, save=True, save_name=\"../output/vi/\"+str(img)+\"_denoise.png\")\n print(\"Finished writing data. Please check \"+str(img)+\"_denoise.png \\n\")",
"step-ids": [
4,
5,
6,
7,
10
]
}
|
[
4,
5,
6,
7,
10
] |
from unittest import TestCase, main
class Solution:
def productExceptSelf(self, nums):
right, rs = 1, [1]*len(nums)
for i in range(1,len(nums)): rs[i] = nums[i-1]*rs[i-1]
for i in range(len(nums)-1, -1, -1): rs[i], right = rs[i]*right, right*nums[i]
return rs
class testsolution(TestCase):
def setUp(self):
self.solution = Solution()
self.inout = [
([1,2,3,4], [24,12,8,6]),
([4,5,1,8,2], [80,64,320,40,160])
]
def test_productExceptSelf(self):
for p1, p2 in self.inout:
with self.subTest(input=p1, expected=p2):
self.assertEqual(self.solution.productExceptSelf(p1), p2)
if __name__ == "__main__":
main()
|
normal
|
{
"blob_id": "9e34fcec3af746af37cb68fd8617c706cc1066f6",
"index": 1743,
"step-1": "<mask token>\n\n\nclass testsolution(TestCase):\n\n def setUp(self):\n self.solution = Solution()\n self.inout = [([1, 2, 3, 4], [24, 12, 8, 6]), ([4, 5, 1, 8, 2], [80,\n 64, 320, 40, 160])]\n\n def test_productExceptSelf(self):\n for p1, p2 in self.inout:\n with self.subTest(input=p1, expected=p2):\n self.assertEqual(self.solution.productExceptSelf(p1), p2)\n\n\n<mask token>\n",
"step-2": "<mask token>\n\n\nclass Solution:\n <mask token>\n\n\nclass testsolution(TestCase):\n\n def setUp(self):\n self.solution = Solution()\n self.inout = [([1, 2, 3, 4], [24, 12, 8, 6]), ([4, 5, 1, 8, 2], [80,\n 64, 320, 40, 160])]\n\n def test_productExceptSelf(self):\n for p1, p2 in self.inout:\n with self.subTest(input=p1, expected=p2):\n self.assertEqual(self.solution.productExceptSelf(p1), p2)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\nclass Solution:\n\n def productExceptSelf(self, nums):\n right, rs = 1, [1] * len(nums)\n for i in range(1, len(nums)):\n rs[i] = nums[i - 1] * rs[i - 1]\n for i in range(len(nums) - 1, -1, -1):\n rs[i], right = rs[i] * right, right * nums[i]\n return rs\n\n\nclass testsolution(TestCase):\n\n def setUp(self):\n self.solution = Solution()\n self.inout = [([1, 2, 3, 4], [24, 12, 8, 6]), ([4, 5, 1, 8, 2], [80,\n 64, 320, 40, 160])]\n\n def test_productExceptSelf(self):\n for p1, p2 in self.inout:\n with self.subTest(input=p1, expected=p2):\n self.assertEqual(self.solution.productExceptSelf(p1), p2)\n\n\n<mask token>\n",
"step-4": "<mask token>\n\n\nclass Solution:\n\n def productExceptSelf(self, nums):\n right, rs = 1, [1] * len(nums)\n for i in range(1, len(nums)):\n rs[i] = nums[i - 1] * rs[i - 1]\n for i in range(len(nums) - 1, -1, -1):\n rs[i], right = rs[i] * right, right * nums[i]\n return rs\n\n\nclass testsolution(TestCase):\n\n def setUp(self):\n self.solution = Solution()\n self.inout = [([1, 2, 3, 4], [24, 12, 8, 6]), ([4, 5, 1, 8, 2], [80,\n 64, 320, 40, 160])]\n\n def test_productExceptSelf(self):\n for p1, p2 in self.inout:\n with self.subTest(input=p1, expected=p2):\n self.assertEqual(self.solution.productExceptSelf(p1), p2)\n\n\nif __name__ == '__main__':\n main()\n",
"step-5": "from unittest import TestCase, main\n\nclass Solution:\n def productExceptSelf(self, nums):\n right, rs = 1, [1]*len(nums)\n for i in range(1,len(nums)): rs[i] = nums[i-1]*rs[i-1]\n for i in range(len(nums)-1, -1, -1): rs[i], right = rs[i]*right, right*nums[i]\n return rs\n\nclass testsolution(TestCase):\n def setUp(self):\n self.solution = Solution()\n self.inout = [\n ([1,2,3,4], [24,12,8,6]),\n ([4,5,1,8,2], [80,64,320,40,160])\n ]\n def test_productExceptSelf(self):\n for p1, p2 in self.inout:\n with self.subTest(input=p1, expected=p2):\n self.assertEqual(self.solution.productExceptSelf(p1), p2)\n\nif __name__ == \"__main__\":\n main()",
"step-ids": [
3,
4,
5,
6,
8
]
}
|
[
3,
4,
5,
6,
8
] |
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def divide_img(img_path, img_name, save_path):
imgg = img_path + '\\' + img_name
print(imgg)
img = cv2.imread(imgg)
print(img)
h = img.shape[0]
w = img.shape[1]
n = 8
m = 8
print('h={},w={},n={},m={}'.format(h, w, n, m))
dis_h = int(np.floor(h / n))
dis_w = int(np.floor(w / m))
num = 0
for i in range(n):
for j in range(m):
num += 1
print('i,j={}{}'.format(i, j))
sub = img[dis_h * i:dis_h * (i + 1), dis_w * j:dis_w * (j + 1), :]
cv2.imwrite(save_path + '_{}.tif'.format(num), sub)
<|reserved_special_token_0|>
<|reserved_special_token_1|>
<|reserved_special_token_0|>
def divide_img(img_path, img_name, save_path):
imgg = img_path + '\\' + img_name
print(imgg)
img = cv2.imread(imgg)
print(img)
h = img.shape[0]
w = img.shape[1]
n = 8
m = 8
print('h={},w={},n={},m={}'.format(h, w, n, m))
dis_h = int(np.floor(h / n))
dis_w = int(np.floor(w / m))
num = 0
for i in range(n):
for j in range(m):
num += 1
print('i,j={}{}'.format(i, j))
sub = img[dis_h * i:dis_h * (i + 1), dis_w * j:dis_w * (j + 1), :]
cv2.imwrite(save_path + '_{}.tif'.format(num), sub)
if __name__ == '__main__':
img_path = 'E:\\个人文件夹\\土地利用编码\\tif'
save_path = 'E:\\个人文件夹\\土地利用编码\\tif1'
img_list = os.listdir(img_path)
for name in img_list:
print(name)
divide_img(img_path, name, save_path)
<|reserved_special_token_1|>
import os
import matplotlib.pyplot as plt
import cv2
import numpy as np
def divide_img(img_path, img_name, save_path):
imgg = img_path + '\\' + img_name
print(imgg)
img = cv2.imread(imgg)
print(img)
h = img.shape[0]
w = img.shape[1]
n = 8
m = 8
print('h={},w={},n={},m={}'.format(h, w, n, m))
dis_h = int(np.floor(h / n))
dis_w = int(np.floor(w / m))
num = 0
for i in range(n):
for j in range(m):
num += 1
print('i,j={}{}'.format(i, j))
sub = img[dis_h * i:dis_h * (i + 1), dis_w * j:dis_w * (j + 1), :]
cv2.imwrite(save_path + '_{}.tif'.format(num), sub)
if __name__ == '__main__':
img_path = 'E:\\个人文件夹\\土地利用编码\\tif'
save_path = 'E:\\个人文件夹\\土地利用编码\\tif1'
img_list = os.listdir(img_path)
for name in img_list:
print(name)
divide_img(img_path, name, save_path)
<|reserved_special_token_1|>
import os
import matplotlib.pyplot as plt
import cv2
import numpy as np
def divide_img(img_path, img_name, save_path):
imgg = img_path +'\\' +img_name
print(imgg)
img = cv2.imread(imgg)
print(img)
# img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
h = img.shape[0]
w = img.shape[1]
n = 8
m = 8
print('h={},w={},n={},m={}'.format(h, w, n, m))
dis_h = int(np.floor(h / n))
dis_w = int(np.floor(w / m))
num = 0
for i in range(n):
for j in range(m):
num += 1
print('i,j={}{}'.format(i, j))
sub = img[dis_h * i:dis_h * (i + 1), dis_w * j:dis_w * (j + 1), :]
cv2.imwrite(save_path + '_{}.tif'.format(num), sub)
if __name__ == '__main__':
img_path = r'E:\个人文件夹\土地利用编码\tif'
save_path = r'E:\个人文件夹\土地利用编码\tif1'
img_list = os.listdir(img_path)
for name in img_list:
print(name)
divide_img(img_path, name, save_path)
|
flexible
|
{
"blob_id": "03f3fcb38877570dea830a56460061bd3ccb8927",
"index": 8830,
"step-1": "<mask token>\n",
"step-2": "<mask token>\n\n\ndef divide_img(img_path, img_name, save_path):\n imgg = img_path + '\\\\' + img_name\n print(imgg)\n img = cv2.imread(imgg)\n print(img)\n h = img.shape[0]\n w = img.shape[1]\n n = 8\n m = 8\n print('h={},w={},n={},m={}'.format(h, w, n, m))\n dis_h = int(np.floor(h / n))\n dis_w = int(np.floor(w / m))\n num = 0\n for i in range(n):\n for j in range(m):\n num += 1\n print('i,j={}{}'.format(i, j))\n sub = img[dis_h * i:dis_h * (i + 1), dis_w * j:dis_w * (j + 1), :]\n cv2.imwrite(save_path + '_{}.tif'.format(num), sub)\n\n\n<mask token>\n",
"step-3": "<mask token>\n\n\ndef divide_img(img_path, img_name, save_path):\n imgg = img_path + '\\\\' + img_name\n print(imgg)\n img = cv2.imread(imgg)\n print(img)\n h = img.shape[0]\n w = img.shape[1]\n n = 8\n m = 8\n print('h={},w={},n={},m={}'.format(h, w, n, m))\n dis_h = int(np.floor(h / n))\n dis_w = int(np.floor(w / m))\n num = 0\n for i in range(n):\n for j in range(m):\n num += 1\n print('i,j={}{}'.format(i, j))\n sub = img[dis_h * i:dis_h * (i + 1), dis_w * j:dis_w * (j + 1), :]\n cv2.imwrite(save_path + '_{}.tif'.format(num), sub)\n\n\nif __name__ == '__main__':\n img_path = 'E:\\\\个人文件夹\\\\土地利用编码\\\\tif'\n save_path = 'E:\\\\个人文件夹\\\\土地利用编码\\\\tif1'\n img_list = os.listdir(img_path)\n for name in img_list:\n print(name)\n divide_img(img_path, name, save_path)\n",
"step-4": "import os\nimport matplotlib.pyplot as plt\nimport cv2\nimport numpy as np\n\n\ndef divide_img(img_path, img_name, save_path):\n imgg = img_path + '\\\\' + img_name\n print(imgg)\n img = cv2.imread(imgg)\n print(img)\n h = img.shape[0]\n w = img.shape[1]\n n = 8\n m = 8\n print('h={},w={},n={},m={}'.format(h, w, n, m))\n dis_h = int(np.floor(h / n))\n dis_w = int(np.floor(w / m))\n num = 0\n for i in range(n):\n for j in range(m):\n num += 1\n print('i,j={}{}'.format(i, j))\n sub = img[dis_h * i:dis_h * (i + 1), dis_w * j:dis_w * (j + 1), :]\n cv2.imwrite(save_path + '_{}.tif'.format(num), sub)\n\n\nif __name__ == '__main__':\n img_path = 'E:\\\\个人文件夹\\\\土地利用编码\\\\tif'\n save_path = 'E:\\\\个人文件夹\\\\土地利用编码\\\\tif1'\n img_list = os.listdir(img_path)\n for name in img_list:\n print(name)\n divide_img(img_path, name, save_path)\n",
"step-5": "import os\nimport matplotlib.pyplot as plt\nimport cv2\nimport numpy as np\n\n\ndef divide_img(img_path, img_name, save_path):\n imgg = img_path +'\\\\' +img_name\n print(imgg)\n img = cv2.imread(imgg)\n print(img)\n # img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)\n h = img.shape[0]\n w = img.shape[1]\n n = 8\n m = 8\n print('h={},w={},n={},m={}'.format(h, w, n, m))\n dis_h = int(np.floor(h / n))\n dis_w = int(np.floor(w / m))\n num = 0\n for i in range(n):\n for j in range(m):\n num += 1\n print('i,j={}{}'.format(i, j))\n sub = img[dis_h * i:dis_h * (i + 1), dis_w * j:dis_w * (j + 1), :]\n cv2.imwrite(save_path + '_{}.tif'.format(num), sub)\n\n\nif __name__ == '__main__':\n\n img_path = r'E:\\个人文件夹\\土地利用编码\\tif'\n save_path = r'E:\\个人文件夹\\土地利用编码\\tif1'\n img_list = os.listdir(img_path)\n for name in img_list:\n print(name)\n divide_img(img_path, name, save_path)",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
# import libraries
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import warnings
import pickle
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from sklearn.metrics import mean_squared_error
import math
from sklearn.model_selection import cross_validate
# read the csv file
dataset = pd.read_csv('heart.csv')
#copy the dataset
df = dataset.copy()
# make X and Y
X = df.drop(['target'], axis=1).values
Y = df.target.values
# correleation matrix
corr_mat = df.corr()
# split based on training and test dataset
x_train, x_test, y_train, y_test = \
train_test_split(X,Y,test_size =0.3,random_state=1234,stratify=Y)
# Logistic regression
lr = LogisticRegression()
lr.fit(x_train, y_train)
y_predict = lr.predict(x_test)
train_score = lr.score(x_train, y_train)
test_score = lr.score(x_test, y_test)
# accuracy score
acc_score = accuracy_score(y_test, y_predict)
rmse = math.sqrt(mean_squared_error(y_test, y_predict))
# Cross validation
lr_cross = LogisticRegression()
cv_results_lr = cross_validate(lr_cross, X, Y, cv=10, return_train_score=True)
test_cv_avg = np.average(cv_results_lr['test_score'])
train_cv_avg = np.average(cv_results_lr['train_score'])
pickle.dump(lr, open('model.pkl','wb'))
|
normal
|
{
"blob_id": "1508697f93114d7f20182a3e9c1df5617904529a",
"index": 8725,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nlr.fit(x_train, y_train)\n<mask token>\npickle.dump(lr, open('model.pkl', 'wb'))\n",
"step-3": "<mask token>\ndataset = pd.read_csv('heart.csv')\ndf = dataset.copy()\nX = df.drop(['target'], axis=1).values\nY = df.target.values\ncorr_mat = df.corr()\nx_train, x_test, y_train, y_test = train_test_split(X, Y, test_size=0.3,\n random_state=1234, stratify=Y)\nlr = LogisticRegression()\nlr.fit(x_train, y_train)\ny_predict = lr.predict(x_test)\ntrain_score = lr.score(x_train, y_train)\ntest_score = lr.score(x_test, y_test)\nacc_score = accuracy_score(y_test, y_predict)\nrmse = math.sqrt(mean_squared_error(y_test, y_predict))\nlr_cross = LogisticRegression()\ncv_results_lr = cross_validate(lr_cross, X, Y, cv=10, return_train_score=True)\ntest_cv_avg = np.average(cv_results_lr['test_score'])\ntrain_cv_avg = np.average(cv_results_lr['train_score'])\npickle.dump(lr, open('model.pkl', 'wb'))\n",
"step-4": "import pandas as pd\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport warnings\nimport pickle\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.metrics import mean_squared_error\nimport math\nfrom sklearn.model_selection import cross_validate\ndataset = pd.read_csv('heart.csv')\ndf = dataset.copy()\nX = df.drop(['target'], axis=1).values\nY = df.target.values\ncorr_mat = df.corr()\nx_train, x_test, y_train, y_test = train_test_split(X, Y, test_size=0.3,\n random_state=1234, stratify=Y)\nlr = LogisticRegression()\nlr.fit(x_train, y_train)\ny_predict = lr.predict(x_test)\ntrain_score = lr.score(x_train, y_train)\ntest_score = lr.score(x_test, y_test)\nacc_score = accuracy_score(y_test, y_predict)\nrmse = math.sqrt(mean_squared_error(y_test, y_predict))\nlr_cross = LogisticRegression()\ncv_results_lr = cross_validate(lr_cross, X, Y, cv=10, return_train_score=True)\ntest_cv_avg = np.average(cv_results_lr['test_score'])\ntrain_cv_avg = np.average(cv_results_lr['train_score'])\npickle.dump(lr, open('model.pkl', 'wb'))\n",
"step-5": "# import libraries\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport warnings\nimport pickle\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.metrics import mean_squared_error\nimport math\nfrom sklearn.model_selection import cross_validate\n\n\n# read the csv file\ndataset = pd.read_csv('heart.csv')\n\n#copy the dataset\ndf = dataset.copy()\n\n# make X and Y\nX = df.drop(['target'], axis=1).values\nY = df.target.values\n\n\n# correleation matrix\ncorr_mat = df.corr()\n\n\n# split based on training and test dataset\n\nx_train, x_test, y_train, y_test = \\\n train_test_split(X,Y,test_size =0.3,random_state=1234,stratify=Y)\n \n\n# Logistic regression\n\nlr = LogisticRegression()\nlr.fit(x_train, y_train)\n\ny_predict = lr.predict(x_test)\n\ntrain_score = lr.score(x_train, y_train)\ntest_score = lr.score(x_test, y_test)\n\n\n# accuracy score\n\nacc_score = accuracy_score(y_test, y_predict)\n\n\nrmse = math.sqrt(mean_squared_error(y_test, y_predict))\n\n\n# Cross validation\n\nlr_cross = LogisticRegression()\n\ncv_results_lr = cross_validate(lr_cross, X, Y, cv=10, return_train_score=True)\n\ntest_cv_avg = np.average(cv_results_lr['test_score'])\ntrain_cv_avg = np.average(cv_results_lr['train_score'])\n\npickle.dump(lr, open('model.pkl','wb'))\n\n\n",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
#! /usr/bin/env python
import tensorflow as tf
import numpy as np
import os
import time
import datetime
import data_helpers
from text_rnn import TextRNN
from tensorflow.contrib import learn
# Parameters
# ==================================================
# Data loading params
flags = tf.app.flags
FLAGS = flags.FLAGS
# Model Hyperparameters
tf.flags.DEFINE_integer("embedding_dim", 100, "Dimensionality of character embedding (default: 100)")
tf.flags.DEFINE_float("dropout_keep_prob", 0.5, "Dropout keep probability (default: 0.5)")
# Training parameters
tf.flags.DEFINE_integer("batch_size", 128, "Batch Size (default: 64)")
tf.flags.DEFINE_integer("num_epochs", 100, "Number of training epochs (default: 200)")
tf.flags.DEFINE_integer("evaluate_every", 500, "Evaluate model on dev set after this many steps (default: 100)")
tf.flags.DEFINE_integer("checkpoint_every", 500, "Save model after this many steps (default: 100)")
tf.flags.DEFINE_integer("num_checkpoints", 3, "Number of checkpoints to store (default: 5)")
# Misc Parameters
tf.flags.DEFINE_boolean("allow_soft_placement", True, "Allow device soft device placement")
tf.flags.DEFINE_boolean("log_device_placement", False, "Log placement of ops on devices")
# Data Preparation
# ==================================================
# Load data
print("\nLoading train data...")
x_train, y_train = data_helpers.load_splitted_data_and_labels('../data/toxic_yes_train.txt', '../data/toxic_no_train.txt')
print("x_train length:{0}, y_train shape:{1}".format(len(x_train), y_train.shape))
print(x_train[0], y_train[0])
print("\nLoading dev data...")
x_dev, y_dev = data_helpers.load_splitted_data_and_labels('../data/toxic_yes_dev.txt', '../data/toxic_no_dev.txt')
print("x_dev length:{0}, y_dev shape:{1}".format(len(x_dev), y_dev.shape))
print(x_dev[-1], y_dev[-1])
x = x_train+x_dev
print("x length:{0}".format(len(x)))
# Build vocabulary
# max_sent_length, sent = max([(len(i.split(" ")),i) for i in x])
# print("Max sent length = {0}".format(max_sent_length))
# print("Sent with max length = {0}".format(sent))
max_sent_length = 80
vocab_processor = learn.preprocessing.VocabularyProcessor(max_sent_length)
x = np.array(list(vocab_processor.fit_transform(x))) #x is an iterable, [n_samples, max_sent_length] Word-id matrix.
print("Shape of word-id matrix: {0}".format(x.shape))
#Transform x_train and x_dev to word-id matrix
x_train = np.array(list(vocab_processor.transform(x_train)))
print("Shape of x_train matrix: {0}".format(x_train.shape))
x_dev = np.array(list(vocab_processor.transform(x_dev)))
print("Shape of x_dev matrix: {0}".format(x_dev.shape))
# Randomly shuffle data
np.random.seed(10)
shuffle_indices = np.random.permutation(np.arange(len(y_train)))
x_train = x_train[shuffle_indices]
y_train = y_train[shuffle_indices]
del x
vocabsize = len(vocab_processor.vocabulary_)
print("Vocabulary Size: {:d}".format(vocabsize))
# Training
# ==================================================
with tf.Graph().as_default():
session_conf = tf.ConfigProto(
allow_soft_placement=FLAGS.allow_soft_placement,
log_device_placement=FLAGS.log_device_placement)
sess = tf.Session(config=session_conf)
with sess.as_default():
rnn = TextRNN(
sequence_length=x_train.shape[1],
num_classes=y_train.shape[1],
vocab_size=vocabsize,
embedding_size=FLAGS.embedding_dim)
# Define Training procedure
global_step = tf.Variable(0, name="global_step", trainable=False)
optimizer = tf.train.AdamOptimizer(1e-3)
grads_and_vars = optimizer.compute_gradients(rnn.loss)
train_op = optimizer.apply_gradients(grads_and_vars, global_step=global_step)
# Keep track of gradient values and sparsity (optional)
grad_summaries = []
for g, v in grads_and_vars:
if g is not None:
grad_hist_summary = tf.summary.histogram("{}/grad/hist".format(v.name), g)
sparsity_summary = tf.summary.scalar("{}/grad/sparsity".format(v.name), tf.nn.zero_fraction(g))
grad_summaries.append(grad_hist_summary)
grad_summaries.append(sparsity_summary)
grad_summaries_merged = tf.summary.merge(grad_summaries)
# Output directory for models and summaries
# timestamp = str(int(time.time()))
# out_dir = os.path.abspath(os.path.join(os.path.curdir, "runs", timestamp))
out_dir = os.path.abspath(os.path.join(os.path.curdir, "runs"))
print("Writing to {}\n".format(out_dir))
# Summaries for loss and accuracy
loss_summary = tf.summary.scalar("loss", rnn.loss)
acc_summary = tf.summary.scalar("accuracy", rnn.accuracy)
# Train Summaries
train_summary_op = tf.summary.merge([loss_summary, acc_summary, grad_summaries_merged])
train_summary_dir = os.path.join(out_dir, "summaries", "train")
train_summary_writer = tf.summary.FileWriter(train_summary_dir, sess.graph)
# Dev summaries
dev_summary_op = tf.summary.merge([loss_summary, acc_summary])
dev_summary_dir = os.path.join(out_dir, "summaries", "dev")
dev_summary_writer = tf.summary.FileWriter(dev_summary_dir, sess.graph)
# Checkpoint directory. Tensorflow assumes this directory already exists so we need to create it
checkpoint_dir = os.path.abspath(os.path.join(out_dir, "checkpoints"))
checkpoint_prefix = os.path.join(checkpoint_dir, "model")
if not os.path.exists(checkpoint_dir):
os.makedirs(checkpoint_dir)
saver = tf.train.Saver(tf.global_variables(), max_to_keep=FLAGS.num_checkpoints)
# Write vocabulary
vocab_processor.save(os.path.join(out_dir, "vocab"))
# Initialize all variables
sess.run(tf.global_variables_initializer())
vocabulary = vocab_processor.vocabulary_
initEmbeddings = data_helpers.load_embedding_vectors_glove(vocabulary)
sess.run(rnn.W_embed.assign(initEmbeddings))
for v in tf.trainable_variables():
print(v.name)
def train_step(x_batch, y_batch):
"""
A single training step
"""
feed_dict = {
rnn.input_x: x_batch,
rnn.input_y: y_batch,
rnn.dropout_keep_prob: FLAGS.dropout_keep_prob
}
_, step, summaries, loss, accuracy = sess.run(
[train_op, global_step, train_summary_op, rnn.loss, rnn.accuracy],
feed_dict)
time_str = datetime.datetime.now().isoformat()
# print("{}: step {}, loss {:g}, acc {:g}".format(time_str, step, loss, accuracy))
train_summary_writer.add_summary(summaries, step)
return loss,accuracy
def dev_step(x_batch, y_batch, writer=None):
"""
Evaluates model on a dev set
"""
feed_dict = {
rnn.input_x: x_batch,
rnn.input_y: y_batch,
rnn.dropout_keep_prob: 1.0
}
step, summaries, loss, accuracy = sess.run(
[global_step, dev_summary_op, rnn.loss, rnn.accuracy],
feed_dict)
time_str = datetime.datetime.now().isoformat()
print("{}: step {}, loss {:g}, acc {:g}".format(time_str, step, loss, accuracy))
if writer:
writer.add_summary(summaries, step)
return accuracy
# Create batches agnostic of class distributions
batches = data_helpers.batch_iter(list(zip(x_train, y_train)), FLAGS.batch_size, FLAGS.num_epochs)
# Create batches aware of imbalance in class distributions
# batches = data_helpers.makeBatches(x_train, y_train[:,1].tolist(), FLAGS.batch_size, FLAGS.num_epochs)
# Training loop. For each batch...
prev_val_acc = 0
for batch in batches:
x_batch, y_batch = zip(*batch)
train_loss, train_acc = train_step(x_batch, y_batch)
current_step = tf.train.global_step(sess, global_step)
if current_step % FLAGS.evaluate_every == 0:
print("\nTrain loss:{0}, Train accuracy:{1}".format(train_loss, train_acc))
print("Evaluation:")
val_acc = dev_step(x_dev, y_dev, writer=dev_summary_writer)
if val_acc > 0.95 and val_acc > prev_val_acc:
save_path = saver.save(sess, checkpoint_prefix, global_step=current_step)
print("Model checkpoint saved at {0}, accuracy={1}".format(save_path, round(val_acc, 3)))
prev_val_acc = val_acc
print("")
|
normal
|
{
"blob_id": "aa1a7de92b971b6d10d09b2f8ca2c55516e538e4",
"index": 9904,
"step-1": "<mask token>\n",
"step-2": "<mask token>\ntf.flags.DEFINE_integer('embedding_dim', 100,\n 'Dimensionality of character embedding (default: 100)')\ntf.flags.DEFINE_float('dropout_keep_prob', 0.5,\n 'Dropout keep probability (default: 0.5)')\ntf.flags.DEFINE_integer('batch_size', 128, 'Batch Size (default: 64)')\ntf.flags.DEFINE_integer('num_epochs', 100,\n 'Number of training epochs (default: 200)')\ntf.flags.DEFINE_integer('evaluate_every', 500,\n 'Evaluate model on dev set after this many steps (default: 100)')\ntf.flags.DEFINE_integer('checkpoint_every', 500,\n 'Save model after this many steps (default: 100)')\ntf.flags.DEFINE_integer('num_checkpoints', 3,\n 'Number of checkpoints to store (default: 5)')\ntf.flags.DEFINE_boolean('allow_soft_placement', True,\n 'Allow device soft device placement')\ntf.flags.DEFINE_boolean('log_device_placement', False,\n 'Log placement of ops on devices')\nprint(\"\"\"\nLoading train data...\"\"\")\n<mask token>\nprint('x_train length:{0}, y_train shape:{1}'.format(len(x_train), y_train.\n shape))\nprint(x_train[0], y_train[0])\nprint(\"\"\"\nLoading dev data...\"\"\")\n<mask token>\nprint('x_dev length:{0}, y_dev shape:{1}'.format(len(x_dev), y_dev.shape))\nprint(x_dev[-1], y_dev[-1])\n<mask token>\nprint('x length:{0}'.format(len(x)))\n<mask token>\nprint('Shape of word-id matrix: {0}'.format(x.shape))\n<mask token>\nprint('Shape of x_train matrix: {0}'.format(x_train.shape))\n<mask token>\nprint('Shape of x_dev matrix: {0}'.format(x_dev.shape))\nnp.random.seed(10)\n<mask token>\ndel x\n<mask token>\nprint('Vocabulary Size: {:d}'.format(vocabsize))\nwith tf.Graph().as_default():\n session_conf = tf.ConfigProto(allow_soft_placement=FLAGS.\n allow_soft_placement, log_device_placement=FLAGS.log_device_placement)\n sess = tf.Session(config=session_conf)\n with sess.as_default():\n rnn = TextRNN(sequence_length=x_train.shape[1], num_classes=y_train\n .shape[1], vocab_size=vocabsize, embedding_size=FLAGS.embedding_dim\n )\n global_step = tf.Variable(0, name='global_step', trainable=False)\n optimizer = tf.train.AdamOptimizer(0.001)\n grads_and_vars = optimizer.compute_gradients(rnn.loss)\n train_op = optimizer.apply_gradients(grads_and_vars, global_step=\n global_step)\n grad_summaries = []\n for g, v in grads_and_vars:\n if g is not None:\n grad_hist_summary = tf.summary.histogram('{}/grad/hist'.\n format(v.name), g)\n sparsity_summary = tf.summary.scalar('{}/grad/sparsity'.\n format(v.name), tf.nn.zero_fraction(g))\n grad_summaries.append(grad_hist_summary)\n grad_summaries.append(sparsity_summary)\n grad_summaries_merged = tf.summary.merge(grad_summaries)\n out_dir = os.path.abspath(os.path.join(os.path.curdir, 'runs'))\n print('Writing to {}\\n'.format(out_dir))\n loss_summary = tf.summary.scalar('loss', rnn.loss)\n acc_summary = tf.summary.scalar('accuracy', rnn.accuracy)\n train_summary_op = tf.summary.merge([loss_summary, acc_summary,\n grad_summaries_merged])\n train_summary_dir = os.path.join(out_dir, 'summaries', 'train')\n train_summary_writer = tf.summary.FileWriter(train_summary_dir,\n sess.graph)\n dev_summary_op = tf.summary.merge([loss_summary, acc_summary])\n dev_summary_dir = os.path.join(out_dir, 'summaries', 'dev')\n dev_summary_writer = tf.summary.FileWriter(dev_summary_dir, sess.graph)\n checkpoint_dir = os.path.abspath(os.path.join(out_dir, 'checkpoints'))\n checkpoint_prefix = os.path.join(checkpoint_dir, 'model')\n if not os.path.exists(checkpoint_dir):\n os.makedirs(checkpoint_dir)\n saver = tf.train.Saver(tf.global_variables(), max_to_keep=FLAGS.\n num_checkpoints)\n vocab_processor.save(os.path.join(out_dir, 'vocab'))\n sess.run(tf.global_variables_initializer())\n vocabulary = vocab_processor.vocabulary_\n initEmbeddings = data_helpers.load_embedding_vectors_glove(vocabulary)\n sess.run(rnn.W_embed.assign(initEmbeddings))\n for v in tf.trainable_variables():\n print(v.name)\n\n def train_step(x_batch, y_batch):\n \"\"\"\n A single training step\n \"\"\"\n feed_dict = {rnn.input_x: x_batch, rnn.input_y: y_batch, rnn.\n dropout_keep_prob: FLAGS.dropout_keep_prob}\n _, step, summaries, loss, accuracy = sess.run([train_op,\n global_step, train_summary_op, rnn.loss, rnn.accuracy],\n feed_dict)\n time_str = datetime.datetime.now().isoformat()\n train_summary_writer.add_summary(summaries, step)\n return loss, accuracy\n\n def dev_step(x_batch, y_batch, writer=None):\n \"\"\"\n Evaluates model on a dev set\n \"\"\"\n feed_dict = {rnn.input_x: x_batch, rnn.input_y: y_batch, rnn.\n dropout_keep_prob: 1.0}\n step, summaries, loss, accuracy = sess.run([global_step,\n dev_summary_op, rnn.loss, rnn.accuracy], feed_dict)\n time_str = datetime.datetime.now().isoformat()\n print('{}: step {}, loss {:g}, acc {:g}'.format(time_str, step,\n loss, accuracy))\n if writer:\n writer.add_summary(summaries, step)\n return accuracy\n batches = data_helpers.batch_iter(list(zip(x_train, y_train)),\n FLAGS.batch_size, FLAGS.num_epochs)\n prev_val_acc = 0\n for batch in batches:\n x_batch, y_batch = zip(*batch)\n train_loss, train_acc = train_step(x_batch, y_batch)\n current_step = tf.train.global_step(sess, global_step)\n if current_step % FLAGS.evaluate_every == 0:\n print('\\nTrain loss:{0}, Train accuracy:{1}'.format(\n train_loss, train_acc))\n print('Evaluation:')\n val_acc = dev_step(x_dev, y_dev, writer=dev_summary_writer)\n if val_acc > 0.95 and val_acc > prev_val_acc:\n save_path = saver.save(sess, checkpoint_prefix,\n global_step=current_step)\n print('Model checkpoint saved at {0}, accuracy={1}'.\n format(save_path, round(val_acc, 3)))\n prev_val_acc = val_acc\n print('')\n",
"step-3": "<mask token>\nflags = tf.app.flags\nFLAGS = flags.FLAGS\ntf.flags.DEFINE_integer('embedding_dim', 100,\n 'Dimensionality of character embedding (default: 100)')\ntf.flags.DEFINE_float('dropout_keep_prob', 0.5,\n 'Dropout keep probability (default: 0.5)')\ntf.flags.DEFINE_integer('batch_size', 128, 'Batch Size (default: 64)')\ntf.flags.DEFINE_integer('num_epochs', 100,\n 'Number of training epochs (default: 200)')\ntf.flags.DEFINE_integer('evaluate_every', 500,\n 'Evaluate model on dev set after this many steps (default: 100)')\ntf.flags.DEFINE_integer('checkpoint_every', 500,\n 'Save model after this many steps (default: 100)')\ntf.flags.DEFINE_integer('num_checkpoints', 3,\n 'Number of checkpoints to store (default: 5)')\ntf.flags.DEFINE_boolean('allow_soft_placement', True,\n 'Allow device soft device placement')\ntf.flags.DEFINE_boolean('log_device_placement', False,\n 'Log placement of ops on devices')\nprint(\"\"\"\nLoading train data...\"\"\")\nx_train, y_train = data_helpers.load_splitted_data_and_labels(\n '../data/toxic_yes_train.txt', '../data/toxic_no_train.txt')\nprint('x_train length:{0}, y_train shape:{1}'.format(len(x_train), y_train.\n shape))\nprint(x_train[0], y_train[0])\nprint(\"\"\"\nLoading dev data...\"\"\")\nx_dev, y_dev = data_helpers.load_splitted_data_and_labels(\n '../data/toxic_yes_dev.txt', '../data/toxic_no_dev.txt')\nprint('x_dev length:{0}, y_dev shape:{1}'.format(len(x_dev), y_dev.shape))\nprint(x_dev[-1], y_dev[-1])\nx = x_train + x_dev\nprint('x length:{0}'.format(len(x)))\nmax_sent_length = 80\nvocab_processor = learn.preprocessing.VocabularyProcessor(max_sent_length)\nx = np.array(list(vocab_processor.fit_transform(x)))\nprint('Shape of word-id matrix: {0}'.format(x.shape))\nx_train = np.array(list(vocab_processor.transform(x_train)))\nprint('Shape of x_train matrix: {0}'.format(x_train.shape))\nx_dev = np.array(list(vocab_processor.transform(x_dev)))\nprint('Shape of x_dev matrix: {0}'.format(x_dev.shape))\nnp.random.seed(10)\nshuffle_indices = np.random.permutation(np.arange(len(y_train)))\nx_train = x_train[shuffle_indices]\ny_train = y_train[shuffle_indices]\ndel x\nvocabsize = len(vocab_processor.vocabulary_)\nprint('Vocabulary Size: {:d}'.format(vocabsize))\nwith tf.Graph().as_default():\n session_conf = tf.ConfigProto(allow_soft_placement=FLAGS.\n allow_soft_placement, log_device_placement=FLAGS.log_device_placement)\n sess = tf.Session(config=session_conf)\n with sess.as_default():\n rnn = TextRNN(sequence_length=x_train.shape[1], num_classes=y_train\n .shape[1], vocab_size=vocabsize, embedding_size=FLAGS.embedding_dim\n )\n global_step = tf.Variable(0, name='global_step', trainable=False)\n optimizer = tf.train.AdamOptimizer(0.001)\n grads_and_vars = optimizer.compute_gradients(rnn.loss)\n train_op = optimizer.apply_gradients(grads_and_vars, global_step=\n global_step)\n grad_summaries = []\n for g, v in grads_and_vars:\n if g is not None:\n grad_hist_summary = tf.summary.histogram('{}/grad/hist'.\n format(v.name), g)\n sparsity_summary = tf.summary.scalar('{}/grad/sparsity'.\n format(v.name), tf.nn.zero_fraction(g))\n grad_summaries.append(grad_hist_summary)\n grad_summaries.append(sparsity_summary)\n grad_summaries_merged = tf.summary.merge(grad_summaries)\n out_dir = os.path.abspath(os.path.join(os.path.curdir, 'runs'))\n print('Writing to {}\\n'.format(out_dir))\n loss_summary = tf.summary.scalar('loss', rnn.loss)\n acc_summary = tf.summary.scalar('accuracy', rnn.accuracy)\n train_summary_op = tf.summary.merge([loss_summary, acc_summary,\n grad_summaries_merged])\n train_summary_dir = os.path.join(out_dir, 'summaries', 'train')\n train_summary_writer = tf.summary.FileWriter(train_summary_dir,\n sess.graph)\n dev_summary_op = tf.summary.merge([loss_summary, acc_summary])\n dev_summary_dir = os.path.join(out_dir, 'summaries', 'dev')\n dev_summary_writer = tf.summary.FileWriter(dev_summary_dir, sess.graph)\n checkpoint_dir = os.path.abspath(os.path.join(out_dir, 'checkpoints'))\n checkpoint_prefix = os.path.join(checkpoint_dir, 'model')\n if not os.path.exists(checkpoint_dir):\n os.makedirs(checkpoint_dir)\n saver = tf.train.Saver(tf.global_variables(), max_to_keep=FLAGS.\n num_checkpoints)\n vocab_processor.save(os.path.join(out_dir, 'vocab'))\n sess.run(tf.global_variables_initializer())\n vocabulary = vocab_processor.vocabulary_\n initEmbeddings = data_helpers.load_embedding_vectors_glove(vocabulary)\n sess.run(rnn.W_embed.assign(initEmbeddings))\n for v in tf.trainable_variables():\n print(v.name)\n\n def train_step(x_batch, y_batch):\n \"\"\"\n A single training step\n \"\"\"\n feed_dict = {rnn.input_x: x_batch, rnn.input_y: y_batch, rnn.\n dropout_keep_prob: FLAGS.dropout_keep_prob}\n _, step, summaries, loss, accuracy = sess.run([train_op,\n global_step, train_summary_op, rnn.loss, rnn.accuracy],\n feed_dict)\n time_str = datetime.datetime.now().isoformat()\n train_summary_writer.add_summary(summaries, step)\n return loss, accuracy\n\n def dev_step(x_batch, y_batch, writer=None):\n \"\"\"\n Evaluates model on a dev set\n \"\"\"\n feed_dict = {rnn.input_x: x_batch, rnn.input_y: y_batch, rnn.\n dropout_keep_prob: 1.0}\n step, summaries, loss, accuracy = sess.run([global_step,\n dev_summary_op, rnn.loss, rnn.accuracy], feed_dict)\n time_str = datetime.datetime.now().isoformat()\n print('{}: step {}, loss {:g}, acc {:g}'.format(time_str, step,\n loss, accuracy))\n if writer:\n writer.add_summary(summaries, step)\n return accuracy\n batches = data_helpers.batch_iter(list(zip(x_train, y_train)),\n FLAGS.batch_size, FLAGS.num_epochs)\n prev_val_acc = 0\n for batch in batches:\n x_batch, y_batch = zip(*batch)\n train_loss, train_acc = train_step(x_batch, y_batch)\n current_step = tf.train.global_step(sess, global_step)\n if current_step % FLAGS.evaluate_every == 0:\n print('\\nTrain loss:{0}, Train accuracy:{1}'.format(\n train_loss, train_acc))\n print('Evaluation:')\n val_acc = dev_step(x_dev, y_dev, writer=dev_summary_writer)\n if val_acc > 0.95 and val_acc > prev_val_acc:\n save_path = saver.save(sess, checkpoint_prefix,\n global_step=current_step)\n print('Model checkpoint saved at {0}, accuracy={1}'.\n format(save_path, round(val_acc, 3)))\n prev_val_acc = val_acc\n print('')\n",
"step-4": "import tensorflow as tf\nimport numpy as np\nimport os\nimport time\nimport datetime\nimport data_helpers\nfrom text_rnn import TextRNN\nfrom tensorflow.contrib import learn\nflags = tf.app.flags\nFLAGS = flags.FLAGS\ntf.flags.DEFINE_integer('embedding_dim', 100,\n 'Dimensionality of character embedding (default: 100)')\ntf.flags.DEFINE_float('dropout_keep_prob', 0.5,\n 'Dropout keep probability (default: 0.5)')\ntf.flags.DEFINE_integer('batch_size', 128, 'Batch Size (default: 64)')\ntf.flags.DEFINE_integer('num_epochs', 100,\n 'Number of training epochs (default: 200)')\ntf.flags.DEFINE_integer('evaluate_every', 500,\n 'Evaluate model on dev set after this many steps (default: 100)')\ntf.flags.DEFINE_integer('checkpoint_every', 500,\n 'Save model after this many steps (default: 100)')\ntf.flags.DEFINE_integer('num_checkpoints', 3,\n 'Number of checkpoints to store (default: 5)')\ntf.flags.DEFINE_boolean('allow_soft_placement', True,\n 'Allow device soft device placement')\ntf.flags.DEFINE_boolean('log_device_placement', False,\n 'Log placement of ops on devices')\nprint(\"\"\"\nLoading train data...\"\"\")\nx_train, y_train = data_helpers.load_splitted_data_and_labels(\n '../data/toxic_yes_train.txt', '../data/toxic_no_train.txt')\nprint('x_train length:{0}, y_train shape:{1}'.format(len(x_train), y_train.\n shape))\nprint(x_train[0], y_train[0])\nprint(\"\"\"\nLoading dev data...\"\"\")\nx_dev, y_dev = data_helpers.load_splitted_data_and_labels(\n '../data/toxic_yes_dev.txt', '../data/toxic_no_dev.txt')\nprint('x_dev length:{0}, y_dev shape:{1}'.format(len(x_dev), y_dev.shape))\nprint(x_dev[-1], y_dev[-1])\nx = x_train + x_dev\nprint('x length:{0}'.format(len(x)))\nmax_sent_length = 80\nvocab_processor = learn.preprocessing.VocabularyProcessor(max_sent_length)\nx = np.array(list(vocab_processor.fit_transform(x)))\nprint('Shape of word-id matrix: {0}'.format(x.shape))\nx_train = np.array(list(vocab_processor.transform(x_train)))\nprint('Shape of x_train matrix: {0}'.format(x_train.shape))\nx_dev = np.array(list(vocab_processor.transform(x_dev)))\nprint('Shape of x_dev matrix: {0}'.format(x_dev.shape))\nnp.random.seed(10)\nshuffle_indices = np.random.permutation(np.arange(len(y_train)))\nx_train = x_train[shuffle_indices]\ny_train = y_train[shuffle_indices]\ndel x\nvocabsize = len(vocab_processor.vocabulary_)\nprint('Vocabulary Size: {:d}'.format(vocabsize))\nwith tf.Graph().as_default():\n session_conf = tf.ConfigProto(allow_soft_placement=FLAGS.\n allow_soft_placement, log_device_placement=FLAGS.log_device_placement)\n sess = tf.Session(config=session_conf)\n with sess.as_default():\n rnn = TextRNN(sequence_length=x_train.shape[1], num_classes=y_train\n .shape[1], vocab_size=vocabsize, embedding_size=FLAGS.embedding_dim\n )\n global_step = tf.Variable(0, name='global_step', trainable=False)\n optimizer = tf.train.AdamOptimizer(0.001)\n grads_and_vars = optimizer.compute_gradients(rnn.loss)\n train_op = optimizer.apply_gradients(grads_and_vars, global_step=\n global_step)\n grad_summaries = []\n for g, v in grads_and_vars:\n if g is not None:\n grad_hist_summary = tf.summary.histogram('{}/grad/hist'.\n format(v.name), g)\n sparsity_summary = tf.summary.scalar('{}/grad/sparsity'.\n format(v.name), tf.nn.zero_fraction(g))\n grad_summaries.append(grad_hist_summary)\n grad_summaries.append(sparsity_summary)\n grad_summaries_merged = tf.summary.merge(grad_summaries)\n out_dir = os.path.abspath(os.path.join(os.path.curdir, 'runs'))\n print('Writing to {}\\n'.format(out_dir))\n loss_summary = tf.summary.scalar('loss', rnn.loss)\n acc_summary = tf.summary.scalar('accuracy', rnn.accuracy)\n train_summary_op = tf.summary.merge([loss_summary, acc_summary,\n grad_summaries_merged])\n train_summary_dir = os.path.join(out_dir, 'summaries', 'train')\n train_summary_writer = tf.summary.FileWriter(train_summary_dir,\n sess.graph)\n dev_summary_op = tf.summary.merge([loss_summary, acc_summary])\n dev_summary_dir = os.path.join(out_dir, 'summaries', 'dev')\n dev_summary_writer = tf.summary.FileWriter(dev_summary_dir, sess.graph)\n checkpoint_dir = os.path.abspath(os.path.join(out_dir, 'checkpoints'))\n checkpoint_prefix = os.path.join(checkpoint_dir, 'model')\n if not os.path.exists(checkpoint_dir):\n os.makedirs(checkpoint_dir)\n saver = tf.train.Saver(tf.global_variables(), max_to_keep=FLAGS.\n num_checkpoints)\n vocab_processor.save(os.path.join(out_dir, 'vocab'))\n sess.run(tf.global_variables_initializer())\n vocabulary = vocab_processor.vocabulary_\n initEmbeddings = data_helpers.load_embedding_vectors_glove(vocabulary)\n sess.run(rnn.W_embed.assign(initEmbeddings))\n for v in tf.trainable_variables():\n print(v.name)\n\n def train_step(x_batch, y_batch):\n \"\"\"\n A single training step\n \"\"\"\n feed_dict = {rnn.input_x: x_batch, rnn.input_y: y_batch, rnn.\n dropout_keep_prob: FLAGS.dropout_keep_prob}\n _, step, summaries, loss, accuracy = sess.run([train_op,\n global_step, train_summary_op, rnn.loss, rnn.accuracy],\n feed_dict)\n time_str = datetime.datetime.now().isoformat()\n train_summary_writer.add_summary(summaries, step)\n return loss, accuracy\n\n def dev_step(x_batch, y_batch, writer=None):\n \"\"\"\n Evaluates model on a dev set\n \"\"\"\n feed_dict = {rnn.input_x: x_batch, rnn.input_y: y_batch, rnn.\n dropout_keep_prob: 1.0}\n step, summaries, loss, accuracy = sess.run([global_step,\n dev_summary_op, rnn.loss, rnn.accuracy], feed_dict)\n time_str = datetime.datetime.now().isoformat()\n print('{}: step {}, loss {:g}, acc {:g}'.format(time_str, step,\n loss, accuracy))\n if writer:\n writer.add_summary(summaries, step)\n return accuracy\n batches = data_helpers.batch_iter(list(zip(x_train, y_train)),\n FLAGS.batch_size, FLAGS.num_epochs)\n prev_val_acc = 0\n for batch in batches:\n x_batch, y_batch = zip(*batch)\n train_loss, train_acc = train_step(x_batch, y_batch)\n current_step = tf.train.global_step(sess, global_step)\n if current_step % FLAGS.evaluate_every == 0:\n print('\\nTrain loss:{0}, Train accuracy:{1}'.format(\n train_loss, train_acc))\n print('Evaluation:')\n val_acc = dev_step(x_dev, y_dev, writer=dev_summary_writer)\n if val_acc > 0.95 and val_acc > prev_val_acc:\n save_path = saver.save(sess, checkpoint_prefix,\n global_step=current_step)\n print('Model checkpoint saved at {0}, accuracy={1}'.\n format(save_path, round(val_acc, 3)))\n prev_val_acc = val_acc\n print('')\n",
"step-5": "#! /usr/bin/env python\n\nimport tensorflow as tf\nimport numpy as np\nimport os\nimport time\nimport datetime\nimport data_helpers\nfrom text_rnn import TextRNN\nfrom tensorflow.contrib import learn\n\n\n# Parameters\n# ==================================================\n\n# Data loading params\nflags = tf.app.flags\nFLAGS = flags.FLAGS\n\n\n# Model Hyperparameters\ntf.flags.DEFINE_integer(\"embedding_dim\", 100, \"Dimensionality of character embedding (default: 100)\")\ntf.flags.DEFINE_float(\"dropout_keep_prob\", 0.5, \"Dropout keep probability (default: 0.5)\")\n\n# Training parameters\ntf.flags.DEFINE_integer(\"batch_size\", 128, \"Batch Size (default: 64)\")\ntf.flags.DEFINE_integer(\"num_epochs\", 100, \"Number of training epochs (default: 200)\")\ntf.flags.DEFINE_integer(\"evaluate_every\", 500, \"Evaluate model on dev set after this many steps (default: 100)\")\ntf.flags.DEFINE_integer(\"checkpoint_every\", 500, \"Save model after this many steps (default: 100)\")\ntf.flags.DEFINE_integer(\"num_checkpoints\", 3, \"Number of checkpoints to store (default: 5)\")\n\n# Misc Parameters\ntf.flags.DEFINE_boolean(\"allow_soft_placement\", True, \"Allow device soft device placement\")\ntf.flags.DEFINE_boolean(\"log_device_placement\", False, \"Log placement of ops on devices\")\n\n\n# Data Preparation\n# ==================================================\n# Load data\nprint(\"\\nLoading train data...\")\nx_train, y_train = data_helpers.load_splitted_data_and_labels('../data/toxic_yes_train.txt', '../data/toxic_no_train.txt')\nprint(\"x_train length:{0}, y_train shape:{1}\".format(len(x_train), y_train.shape))\nprint(x_train[0], y_train[0])\n\nprint(\"\\nLoading dev data...\")\nx_dev, y_dev = data_helpers.load_splitted_data_and_labels('../data/toxic_yes_dev.txt', '../data/toxic_no_dev.txt')\nprint(\"x_dev length:{0}, y_dev shape:{1}\".format(len(x_dev), y_dev.shape))\nprint(x_dev[-1], y_dev[-1])\n\nx = x_train+x_dev\nprint(\"x length:{0}\".format(len(x)))\n\n# Build vocabulary\n# max_sent_length, sent = max([(len(i.split(\" \")),i) for i in x])\n# print(\"Max sent length = {0}\".format(max_sent_length))\n# print(\"Sent with max length = {0}\".format(sent))\nmax_sent_length = 80\nvocab_processor = learn.preprocessing.VocabularyProcessor(max_sent_length)\nx = np.array(list(vocab_processor.fit_transform(x))) #x is an iterable, [n_samples, max_sent_length] Word-id matrix.\nprint(\"Shape of word-id matrix: {0}\".format(x.shape))\n\n#Transform x_train and x_dev to word-id matrix\nx_train = np.array(list(vocab_processor.transform(x_train)))\nprint(\"Shape of x_train matrix: {0}\".format(x_train.shape))\nx_dev = np.array(list(vocab_processor.transform(x_dev)))\nprint(\"Shape of x_dev matrix: {0}\".format(x_dev.shape))\n\n# Randomly shuffle data\nnp.random.seed(10)\nshuffle_indices = np.random.permutation(np.arange(len(y_train)))\nx_train = x_train[shuffle_indices]\ny_train = y_train[shuffle_indices]\n\ndel x\n\nvocabsize = len(vocab_processor.vocabulary_)\nprint(\"Vocabulary Size: {:d}\".format(vocabsize))\n\n# Training\n# ==================================================\n\nwith tf.Graph().as_default():\n session_conf = tf.ConfigProto(\n allow_soft_placement=FLAGS.allow_soft_placement,\n log_device_placement=FLAGS.log_device_placement)\n sess = tf.Session(config=session_conf)\n with sess.as_default():\n rnn = TextRNN(\n sequence_length=x_train.shape[1],\n num_classes=y_train.shape[1],\n vocab_size=vocabsize,\n embedding_size=FLAGS.embedding_dim)\n\n # Define Training procedure\n global_step = tf.Variable(0, name=\"global_step\", trainable=False)\n optimizer = tf.train.AdamOptimizer(1e-3)\n grads_and_vars = optimizer.compute_gradients(rnn.loss)\n train_op = optimizer.apply_gradients(grads_and_vars, global_step=global_step)\n\n # Keep track of gradient values and sparsity (optional)\n grad_summaries = []\n for g, v in grads_and_vars:\n if g is not None:\n grad_hist_summary = tf.summary.histogram(\"{}/grad/hist\".format(v.name), g)\n sparsity_summary = tf.summary.scalar(\"{}/grad/sparsity\".format(v.name), tf.nn.zero_fraction(g))\n grad_summaries.append(grad_hist_summary)\n grad_summaries.append(sparsity_summary)\n grad_summaries_merged = tf.summary.merge(grad_summaries)\n\n # Output directory for models and summaries\n # timestamp = str(int(time.time()))\n # out_dir = os.path.abspath(os.path.join(os.path.curdir, \"runs\", timestamp))\n out_dir = os.path.abspath(os.path.join(os.path.curdir, \"runs\"))\n print(\"Writing to {}\\n\".format(out_dir))\n\n # Summaries for loss and accuracy\n loss_summary = tf.summary.scalar(\"loss\", rnn.loss)\n acc_summary = tf.summary.scalar(\"accuracy\", rnn.accuracy)\n\n # Train Summaries\n train_summary_op = tf.summary.merge([loss_summary, acc_summary, grad_summaries_merged])\n train_summary_dir = os.path.join(out_dir, \"summaries\", \"train\")\n train_summary_writer = tf.summary.FileWriter(train_summary_dir, sess.graph)\n\n # Dev summaries\n dev_summary_op = tf.summary.merge([loss_summary, acc_summary])\n dev_summary_dir = os.path.join(out_dir, \"summaries\", \"dev\")\n dev_summary_writer = tf.summary.FileWriter(dev_summary_dir, sess.graph)\n\n # Checkpoint directory. Tensorflow assumes this directory already exists so we need to create it\n checkpoint_dir = os.path.abspath(os.path.join(out_dir, \"checkpoints\"))\n checkpoint_prefix = os.path.join(checkpoint_dir, \"model\")\n if not os.path.exists(checkpoint_dir):\n os.makedirs(checkpoint_dir)\n saver = tf.train.Saver(tf.global_variables(), max_to_keep=FLAGS.num_checkpoints)\n\n # Write vocabulary\n vocab_processor.save(os.path.join(out_dir, \"vocab\"))\n\n # Initialize all variables\n sess.run(tf.global_variables_initializer())\n\n vocabulary = vocab_processor.vocabulary_\n initEmbeddings = data_helpers.load_embedding_vectors_glove(vocabulary)\n sess.run(rnn.W_embed.assign(initEmbeddings))\n\n for v in tf.trainable_variables():\n print(v.name)\n\n def train_step(x_batch, y_batch):\n \"\"\"\n A single training step\n \"\"\"\n feed_dict = {\n rnn.input_x: x_batch,\n rnn.input_y: y_batch,\n rnn.dropout_keep_prob: FLAGS.dropout_keep_prob\n }\n _, step, summaries, loss, accuracy = sess.run(\n [train_op, global_step, train_summary_op, rnn.loss, rnn.accuracy],\n feed_dict)\n time_str = datetime.datetime.now().isoformat()\n # print(\"{}: step {}, loss {:g}, acc {:g}\".format(time_str, step, loss, accuracy))\n train_summary_writer.add_summary(summaries, step)\n\n return loss,accuracy\n\n def dev_step(x_batch, y_batch, writer=None):\n \"\"\"\n Evaluates model on a dev set\n \"\"\"\n feed_dict = {\n rnn.input_x: x_batch,\n rnn.input_y: y_batch,\n rnn.dropout_keep_prob: 1.0\n }\n step, summaries, loss, accuracy = sess.run(\n [global_step, dev_summary_op, rnn.loss, rnn.accuracy],\n feed_dict)\n time_str = datetime.datetime.now().isoformat()\n print(\"{}: step {}, loss {:g}, acc {:g}\".format(time_str, step, loss, accuracy))\n if writer:\n writer.add_summary(summaries, step)\n\n return accuracy\n\n # Create batches agnostic of class distributions\n batches = data_helpers.batch_iter(list(zip(x_train, y_train)), FLAGS.batch_size, FLAGS.num_epochs)\n\n # Create batches aware of imbalance in class distributions\n # batches = data_helpers.makeBatches(x_train, y_train[:,1].tolist(), FLAGS.batch_size, FLAGS.num_epochs)\n\n # Training loop. For each batch...\n prev_val_acc = 0\n for batch in batches:\n x_batch, y_batch = zip(*batch)\n train_loss, train_acc = train_step(x_batch, y_batch)\n current_step = tf.train.global_step(sess, global_step)\n if current_step % FLAGS.evaluate_every == 0:\n print(\"\\nTrain loss:{0}, Train accuracy:{1}\".format(train_loss, train_acc))\n print(\"Evaluation:\")\n val_acc = dev_step(x_dev, y_dev, writer=dev_summary_writer)\n if val_acc > 0.95 and val_acc > prev_val_acc:\n save_path = saver.save(sess, checkpoint_prefix, global_step=current_step)\n print(\"Model checkpoint saved at {0}, accuracy={1}\".format(save_path, round(val_acc, 3)))\n prev_val_acc = val_acc\n\n print(\"\")",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
# 1로 만들기
import sys
N = int(sys.stdin.readline())
dp_table = [0 for _ in range(10**6 + 1)]
dp_table[2], dp_table[3] = 1, 1
for i in range(4,N+1):
two_per = 10**6
three_per = 10**6
if i % 3 ==0:
three_per = dp_table[i//3] + 1
if i % 2 ==0:
two_per = dp_table[i//2] + 1
minus = dp_table[i-1] + 1
dp_table[i] = min(minus, two_per, three_per)
# print(i, dp_table[i])
print(dp_table[N])
|
normal
|
{
"blob_id": "34a8fc38ed875e1c564f535348dc0d5d88c76ab1",
"index": 7281,
"step-1": "<mask token>\n",
"step-2": "<mask token>\nfor i in range(4, N + 1):\n two_per = 10 ** 6\n three_per = 10 ** 6\n if i % 3 == 0:\n three_per = dp_table[i // 3] + 1\n if i % 2 == 0:\n two_per = dp_table[i // 2] + 1\n minus = dp_table[i - 1] + 1\n dp_table[i] = min(minus, two_per, three_per)\nprint(dp_table[N])\n",
"step-3": "<mask token>\nN = int(sys.stdin.readline())\ndp_table = [(0) for _ in range(10 ** 6 + 1)]\ndp_table[2], dp_table[3] = 1, 1\nfor i in range(4, N + 1):\n two_per = 10 ** 6\n three_per = 10 ** 6\n if i % 3 == 0:\n three_per = dp_table[i // 3] + 1\n if i % 2 == 0:\n two_per = dp_table[i // 2] + 1\n minus = dp_table[i - 1] + 1\n dp_table[i] = min(minus, two_per, three_per)\nprint(dp_table[N])\n",
"step-4": "import sys\nN = int(sys.stdin.readline())\ndp_table = [(0) for _ in range(10 ** 6 + 1)]\ndp_table[2], dp_table[3] = 1, 1\nfor i in range(4, N + 1):\n two_per = 10 ** 6\n three_per = 10 ** 6\n if i % 3 == 0:\n three_per = dp_table[i // 3] + 1\n if i % 2 == 0:\n two_per = dp_table[i // 2] + 1\n minus = dp_table[i - 1] + 1\n dp_table[i] = min(minus, two_per, three_per)\nprint(dp_table[N])\n",
"step-5": "# 1로 만들기\nimport sys\nN = int(sys.stdin.readline())\ndp_table = [0 for _ in range(10**6 + 1)]\ndp_table[2], dp_table[3] = 1, 1\n\nfor i in range(4,N+1):\n two_per = 10**6\n three_per = 10**6\n if i % 3 ==0:\n three_per = dp_table[i//3] + 1\n if i % 2 ==0:\n two_per = dp_table[i//2] + 1\n minus = dp_table[i-1] + 1\n dp_table[i] = min(minus, two_per, three_per)\n # print(i, dp_table[i])\n\nprint(dp_table[N])",
"step-ids": [
0,
1,
2,
3,
4
]
}
|
[
0,
1,
2,
3,
4
] |
import pyForp
import pprint
pp = pprint.PrettyPrinter(indent=4)
def fib(n):
if n < 2:
return n
return fib(n-2) + fib(n-1)
forp = pyForp.pyForp()
forp.start()
print fib(2)
forp.stop()
pp.pprint(forp.dump())
|
normal
|
{
"blob_id": "80f9c4b7261a894aad2c738d976cfb8efc4d228c",
"index": 4784,
"step-1": "import pyForp\nimport pprint\npp = pprint.PrettyPrinter(indent=4)\ndef fib(n):\n if n < 2:\n return n\n return fib(n-2) + fib(n-1)\n\nforp = pyForp.pyForp()\nforp.start()\nprint fib(2)\nforp.stop()\npp.pprint(forp.dump())\n",
"step-2": null,
"step-3": null,
"step-4": null,
"step-5": null,
"step-ids": [
0
]
}
|
[
0
] |
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