Angular no me permite acceder a los controles de segundo nivel, si todos los campos se encuentran en un solo formGroup, por ejemplo:
formGroup: FormGroup = this.formBuilder.group({
beneficiaryInfo: this.formBuilder.group({
beneficiaryName:['',Validators.required],
accountNumber:['',Validators.required],
}),
amount:['', Validators.required]});
Metodo de acceso:
get beneficiaryNameField(){
return this.formGroup.controls['beneficiaryInfo'].controls['beneficiaryName']
}
Pero si dejas dividido el formGroup en dos, entonces si te lo permitira:
beneficiaryInfoFormGroup: FormGroup =
this.formBuilder.group({
beneficiaryName:['', Validators.required],
accountNumber:['', Validators.required],
})
formGroup: FormGroup = this.formBuilder.group({
beneficiaryInfo: this.beneficiaryInfoFormGroup,
amount:['', Validators.required]
});
Metodo de acceso:
get beneficiaryNameField(){
return this.beneficiaryInfoFormGroup.controls['beneficiaryName']
}
¿Cómo puedo asignarle el privilegio a una columna para que sus registros sean únicos en phpmyadmin?
En la consola me aparece esta advertencia: executable_path has been deprecated, please pass in a Service object driver = webdriver.Chrome('driver/chromedriver')
Y luego aparece esto unas cuantas veces: DevTools listening on ws://127.0.0.1:53338/devtools/browser/a587bf45-34ff-4fce-a133-c80d1cbd4e72 [1632:9072:0811/164604.900:ERROR:device_event_log_impl.cc(214)] [16:46:04.901] USB: usb_device_handle_win.cc:1048 Failed to read descriptor from node connection: Uno de los dispositivos conectados al sistema no funciona. (0x1F)
¿Cómo podría solucionarlo?
¿Cómo podría cambiar la ruta del servidor? por ejemplo, si yo no quiero que mi proyecto se ejecute desde /var/www/html/ si no que se ejecute desde /var/www/html/otra_carpeta
Cuando termina de procesar el Aply anaconda me muestra el siguiente problema, no me deja instalar tensorflow-datasets y ademas tambien estoy tratando de instalar la libreria de tensorflow, al parecer no se instalo con keras, qué puedo hacer?
este es el error completo:
UnsatisfiableError: The following specifications were found to be incompatible with each other:
Output in format: Requested package -> Available versions
Package requests conflicts for:
tensorflow -> tensorboard[version='>=2.3.0'] -> requests[version='>=2.21.0|>=2.21.0,<3']
tensorflow-datasets -> requests[version='>=2.19.0']
python=3.9 -> pip -> requests
Package tensorflow-base conflicts for:
tensorflow -> tensorflow-estimator[version='>=2.3.0'] -> tensorflow-base[version='>=1.14.0,<1.15.0a0|>=1.15.0,<1.16.0a0|>=2.0.0,<2.1.0a0|>=2.1.0,<2.2.0a0|>=2.2.0,<2.3.0a0|>=2.3.0,<2.4.0a0|>=2.4.1,<2.5.0a0']
tensorflow -> tensorflow-base[version='1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|1.15.0|2.0.0|2.0.0|2.0.0|2.0.0|2.0.0|2.0.0|2.1.0|2.1.0|2.1.0|2.1.0|2.1.0|2.1.0|2.3.0|2.3.0|2.3.0|2.3.0|2.3.0|2.3.0|2.5.0|2.5.0|2.5.0|2.5.0|2.5.0|2.5.0|2.5.0|2.5.0|2.5.0|2.6.0|==1.14.0|==1.14.0|==1.14.0|==1.14.0|==1.14.0|==1.14.0|==1.14.0|==1.14.0|==1.13.1|==1.13.1|==1.13.1|==1.13.1|==1.13.1|==1.13.1|==1.13.1|==1.13.1|==1.12.0|==1.12.0|==1.12.0|==1.11.0|==1.11.0|==1.11.0|==1.10.0|==1.10.0|==1.10.0|==1.10.0|==1.10.0|==1.10.0|==1.9.0|==1.9.0|==1.9.0|==1.9.0|1.8.0|1.7.1|1.7.0',build='eigen_py35h45df0d8_0|gpu_py36h6e53903_0|gpu_py35h6e53903_0|eigen_py36h45df0d8_0|gpu_py36h6e53903_0|gpu_py36h6e53903_0|gpu_py36h6e53903_0|eigen_py36hf8af7b3_0|mkl_py36ha978198_0|eigen_py36hdbc3f0e_0|eigen_py37hdbc3f0e_0|gpu_py37h55fc52a_0|mkl_py37h190a33d_0|eigen_py37h07d2309_0|gpu_py37h1afeea4_0|eigen_py36h01553b8_0|eigen_py37h01553b8_0|mkl_py36hd1d5974_0|eigen_py36h49b2757_0|mkl_py37h230818c_0|gpu_py37h55f5790_0|mkl_py37h7075554_0|mkl_py38ha8c2253_0|gpu_py37h18d21e4_0|eigen_py37h17acbac_0|mkl_py39h9201259_0|eigen_py37h03e61e6_0|eigen_py38h03e61e6_0|mkl_py38h9201259_0|eigen_py39h03e61e6_0|mkl_py37h9201259_0|mkl_py39h9201259_0|mkl_py38h9201259_0|eigen_py39h03e61e6_0|mkl_py37h9201259_0|gpu_py38hb3da07e_0|gpu_py37hb3da07e_0|gpu_py39hb3da07e_0|eigen_py38h03e61e6_0|eigen_py37h03e61e6_0|gpu_py39hb3da07e_0|gpu_py37hb3da07e_0|gpu_py38hb3da07e_0|eigen_py38h75a453f_0|gpu_py38h7339f5a_0|gpu_py36h55f5790_0|eigen_py37h49b2757_0|mkl_py36h230818c_0|gpu_py36h390e234_0|gpu_py37h390e234_0|mkl_py37hd1d5974_0|gpu_py36h1afeea4_0|mkl_py36h190a33d_0|eigen_py36h07d2309_0|gpu_py37h9ee611f_0|gpu_py36h9ee611f_0|gpu_py36h55fc52a_0|mkl_py37ha978198_0|gpu_py36h871c8ca_0|gpu_py37h871c8ca_0|gpu_py36h0fff12a_0|gpu_py37h0fff12a_0|mkl_py36hcaf7020_0|mkl_py37hcaf7020_0|eigen_py37hf8af7b3_0|eigen_py36h45df0d8_0|mkl_py36h81393da_0|eigen_py36h45df0d8_0|mkl_py36h81393da_0|mkl_py36h81393da_0|mkl_py35h81393da_0|gpu_py35h6e53903_0|eigen_py35h45df0d8_0|eigen_py36h45df0d8_0']
tensorflow-base
Package webencodings conflicts for:
tensorflow -> tensorboard[version='>=2.0.0'] -> webencodings
python=3.9 -> pip -> webencodings
Package wheel conflicts for:
tensorflow-base -> wheel[version='>=0.35,<0.36']
tensorflow-base -> tensorboard[version='>=2.6.0,<2.7'] -> wheel[version='>=0.26']
tensorflow -> tensorboard[version='>=2.6.0'] -> wheel[version='>=0.26|>=0.35,<0.36']
python=3.9 -> pip -> wheel
Package werkzeug conflicts for:
tensorflow-base -> tensorboard[version='>=2.6.0,<2.7'] -> werkzeug[version='>=0.11.15']
tensorflow -> tensorboard[version='>=2.6.0'] -> werkzeug[version='>=0.11.10|>=0.11.15|>=0.14.1,<1.0a0|>=0.14']
tensorflow-base -> werkzeug[version='>=0.14.1,<1.0a0']
Package colorama conflicts for:
python=3.9 -> pip -> colorama
tensorflow-datasets -> tqdm -> colorama
Package numpy-base conflicts for:
tensorflow-base -> numpy[version='>=1.20'] -> numpy-base[version='1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.5|1.16.5|1.16
Me aparece aparece esa advertencia, como puedo quitarla sin utilizar el error_reporting?
No tengo , ¿Se puede utilizar sin tarjeta de crédito? ¿o es obligatorio?
Tienes razón Alvaro, no es por nada pero de verdad antes si eran cheveres jajaja ayer vi uno de los últimos videos que han sacado, y ni siquiera me dio risa interna xd ojala vieran tu curso para que se enfoquen más en el valor, saludos desde Ecuador 😂