- github.com/json-iterator/go: [v1.1.8 → v1.1.10](https://github.com/json-iterator/go/compare/v1.1.8...v1.1.10)
- github.com/jstemmer/go-junit-report: [af01ea7 → v0.9.1](https://github.com/jstemmer/go-junit-report/compare/af01ea7...v0.9.1)
- github.com/konsorten/go-windows-terminal-sequences: [v1.0.1 → v1.0.3](https://github.com/konsorten/go-windows-terminal-sequences/compare/v1.0.1...v1.0.3)

## 0.51.0

* Re-export utils from Starlette:
    * This allows using things like `from fastapi.responses import JSONResponse` instead of `from starlette.responses import JSONResponse`.
    * It's mainly syntax sugar, a convenience for developer experience.

z Scalar) bool { // Compute t1 = (x+y)*z var t1 Scalar t1.Add(&x, &y) t1.Multiply(&t1, &z) // Compute t2 = x*z + y*z var t2 Scalar var t3 Scalar t2.Multiply(&x, &z) t3.Multiply(&y, &z) t2.Add(&t2, &t3) reprT1, reprT2 := t1.Bytes(), t2.Bytes() return t1 == t2 && isReduced(reprT1) && isReduced(reprT2) } if err := quick.Check(multiplyDistributesO, quickCheckConfig(1024)); err != nil { t.Error(err) } } func TestScalarAddLikeSub(t *testing.T) { addLikeSubNeg := func(x, y Scalar) bool { // Compute t1 =...

z Scalar) bool { // Compute t1 = (x+y)*z var t1 Scalar t1.Add(&x, &y) t1.Multiply(&t1, &z) // Compute t2 = x*z + y*z var t2 Scalar var t3 Scalar t2.Multiply(&x, &z) t3.Multiply(&y, &z) t2.Add(&t2, &t3) reprT1, reprT2 := t1.Bytes(), t2.Bytes() return t1 == t2 && isReduced(reprT1) && isReduced(reprT2) } if err := quick.Check(multiplyDistributesO, quickCheckConfig(1024)); err != nil { t.Error(err) } } func TestScalarAddLikeSub(t *testing.T) { addLikeSubNeg := func(x, y Scalar) bool { // Compute t1 =...

am 08.06.2016
einen Besuch im Museum Berggruen an.
Durch die Ausstellung führt uns Frau Irena Katadzic.
Bitte unbedingt den Studentenausweis mitbringen !!!
Museum Berggruen Berlin: Picassos Bild der Frau 
Das Museum Berggruen gehört zu den wichtigen Berliner Sammlungen Klassischer 
Moderne. Mit seinen einzigartigen Werken zeigt es neben Alberto Giacometti und Henri 
Matisse ein sehr umfangreiches Werk von Pablo Picasso. Nicht nur gemessen an der 

        variable TF_USE_LEGACY_KERAS=1 directly or in your python program by
        import os;os.environ["TF_USE_LEGACY_KERAS"]=1. Please note that this
        will set it for all packages in your Python runtime program

*   1.  Change import of keras from tensorflow as follows
*   import tensorflow.keras as keras and import keras to import tf_keras as
    keras
* **Apple Silicon users:** If you previously installed TensorFlow using

(https://github.com/twbs/bootstrap/blob/main/LICENSE)\n */\n\n@import \"functions\";\n@import \"variables\";\n@import \"mixins\";\n@import \"root\";\n@import \"reboot\";\n@import \"type\";\n@import \"images\";\n@import \"code\";\n@import \"grid\";\n@import \"tables\";\n@import \"forms\";\n@import \"buttons\";\n@import \"transitions\";\n@import \"dropdown\";\n@import \"button-group\";\n@import \"input-group\";\n@import \"custom-forms\";\n@import \"nav\";\n@import \"navbar\";\n@import \"card\";\n@import...

    /**
     * Get the value for the key 'http.proxy.port'. <br>
     * The value is, e.g. 8080 <br>
     * comment: Port number for the HTTP proxy server (e.g., 8080).
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getHttpProxyPort();

    /**
     * Get the value for the key 'http.proxy.port' as {@link Integer}. <br>
     * The value is, e.g. 8080 <br>

# For terms of use, see https://www.unicode.org/terms_of_use.html
#
# Unicode IDNA Compatible Preprocessing for UTS #46
# Version: 15.1.0
#
# For documentation and usage, see https://www.unicode.org/reports/tr46
#
0000..002C    ; disallowed_STD3_valid                  # 1.1  <control-0000>..COMMA
002D..002E    ; valid                                  # 1.1  HYPHEN-MINUS..FULL STOP