我在Ubuntu 18上在numpy中分配大型数组时遇到了一个问题，而在MacOS上却没有遇到同样的问题。

我想一个numpy的阵列形状分配内存(156816, 36, 53806) 使用

np.zeros((156816, 36, 53806), dtype='uint8')

当我在Ubuntu OS上遇到错误时

>>> import numpy as np
>>> np.zeros((156816, 36, 53806), dtype='uint8')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
numpy.core._exceptions.MemoryError: Unable to allocate array with shape (156816, 36, 53806) and data type uint8

我在MacOS上没有得到它：

>>> import numpy as np 
>>> np.zeros((156816, 36, 53806), dtype='uint8')
array([[[0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0],
        [0, 0, 0, ..., 0, 0, 0], …

我有UTC和ISO8601的时间戳,但使用结构化流,它会自动转换为本地时间.有没有办法阻止这种转换？我想在UTC中使用它.

我正在从Kafka读取json数据,然后使用from_jsonSpark函数解析它们.

输入:

{"Timestamp":"2015-01-01T00:00:06.222Z"}

流:

SparkSession
  .builder()
  .master("local[*]")
  .appName("my-app")
  .getOrCreate()
  .readStream()
  .format("kafka")
  ... //some magic
  .writeStream()
  .format("console")
  .start()
  .awaitTermination();

架构:

StructType schema = DataTypes.createStructType(new StructField[] {
        DataTypes.createStructField("Timestamp", DataTypes.TimestampType, true),});

输出:

+--------------------+
|           Timestamp|
+--------------------+
|2015-01-01 01:00:...|
|2015-01-01 01:00:...|
+--------------------+

如您所见,小时数自动增加.

PS:我试着尝试from_utc_timestampSpark功能,但没有运气.

我正在尝试将图像 src 动态绑定到表单的 URL ../assets/project_screens/image_name.jpg。

我的目录结构如下：

- src
 -- assets
   ---- project_screens
 -- profile
   ---- ProjectList.vue 
 -- store
   ---- profile.js

我知道我需要使用 webpackrequire("path/to/image")来帮助 webpack 构建这些图像，但是路径没有解析。

- src
 -- assets
   ---- project_screens
 -- profile
   ---- ProjectList.vue 
 -- store
   ---- profile.js

// store/profile.js
projects = [
  {
    ....
  },
  {
    ....
    img_url: "../assets/project_screens/im1.jpg"
    ....
  }
  ....
]

如果我使用 URL 字符串而不是动态传递 URL 字符串，它会起作用。环顾堆栈溢出，没有任何解决方案有帮助。我还缺少其他东西吗？

我在 React Native 应用程序中使用 react-navigation。

我不断收到一个错误，该错误应该是仅用于开发的警告，不会在生产中显示。

我如何修复下面的错误？

console.error: "The action 'NAVIGATE' with payload
{"name":"192.168.100.189:19000","params":{}} was not handled by any
navigator.

Do you have a screen named '192.168.100.189:19000'?

If you'r trying to navigate to a screen in a nested navigator, see
https://reactnavigation.org/docs/nesting-navigators#navigating-to-a-screen-in-a-nestd-navigator.

This is a development-only warning and won't be shown in production."

SparkSession
  .builder
  .master("local[*]")
  .config("spark.sql.warehouse.dir", "C:/tmp/spark")
  .config("spark.sql.streaming.checkpointLocation", "C:/tmp/spark/spark-checkpoint")
  .appName("my-test")
  .getOrCreate
  .readStream
  .schema(schema)
  .json("src/test/data")
  .cache
  .writeStream
  .start
  .awaitTermination

在Spark 2.1.0中执行此示例时出现错误.没有.cache选项,它按预期工作,但.cache我有选择:

Exception in thread "main" org.apache.spark.sql.AnalysisException: Queries with streaming sources must be executed with writeStream.start();;
FileSource[src/test/data]
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$.org$apache$spark$sql$catalyst$analysis$UnsupportedOperationChecker$$throwError(UnsupportedOperationChecker.scala:196)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:35)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$$anonfun$checkForBatch$1.apply(UnsupportedOperationChecker.scala:33)
at org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:128)
at org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker$.checkForBatch(UnsupportedOperationChecker.scala:33)
at org.apache.spark.sql.execution.QueryExecution.assertSupported(QueryExecution.scala:58)
at org.apache.spark.sql.execution.QueryExecution.withCachedData$lzycompute(QueryExecution.scala:69)
at org.apache.spark.sql.execution.QueryExecution.withCachedData(QueryExecution.scala:67)
at org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:73)
at org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:73)
at org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:79)
at org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:75)
at org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:84)
at org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:84)
at org.apache.spark.sql.execution.CacheManager$$anonfun$cacheQuery$1.apply(CacheManager.scala:102)
at org.apache.spark.sql.execution.CacheManager.writeLock(CacheManager.scala:65)
at org.apache.spark.sql.execution.CacheManager.cacheQuery(CacheManager.scala:89)
at org.apache.spark.sql.Dataset.persist(Dataset.scala:2479)
at org.apache.spark.sql.Dataset.cache(Dataset.scala:2489)
at org.me.App$.main(App.scala:23)
at org.me.App.main(App.scala)

任何的想法？

大家好，我正在尝试在 npm 中发布我的角度库，但是当我登录时，我得到了这个：

npm ERR! code EAI_AGAIN
npm ERR! errno EAI_AGAIN
npm ERR! request to http://registry.npmjs.org/-/user/org.couchdb.user:belzee10 failed, reason: getaddrinfo EAI_AGAIN registry.npmjs.org:80
npm ERR! A complete log of this run can be found in:
npm ERR!     C:\Users\belzee\AppData\Roaming\npm-cache\_logs\2018-01-08T16_03_35_050Z-debug.log

版本

node: 8.9.3
npm: 5.5.1

我位于经过身份验证的代理后面，并且我已经配置： proxy 和 https-proxy

npm config set proxy http: // Username: Pa55w0rd @ proxyhostname: port
npm config set https-proxy http: // Username: Pa55w0rd @ proxyhostname: port

感谢您的关注

我想创建一个 Apache 容器并将当前工作目录挂载为容器中的一个卷，所以我有这个代码：

volumes:
    - ${DOCUMENT_ROOT}:/var/www/html

${DOCUMENT_ROOT} 的值是文件中的一个点.env：

DOCUMENT_ROOT=.

我的docker-compose.yml文件位于我的项目目录的根目录，在我的项目目录中有一个.docker目录。

我试过这 3 行：

volumes:
    - .:/var/www/html

volumes:
    - ./:/var/www/html

volumes:
    - ${DOCUMENT_ROOT}:/var/www/html

但我有这个错误：

Creating 7.4.x-webserver ... error ERROR: for 7.4.x-webserver  Cannot
create container for service webserver: b'create .: volume name is too
short, names should be at least two alphanumeric characters'

ERROR: for webserver  Cannot create container for service webserver:
b'create .: volume name is too short, names should be at least two
alphanumeric …

我使用 Firebase 存储来upfile. 但它不起作用这是我的代码。

FirebaseStorage storage = FirebaseStorage.getInstance();
StorageReference storageRef = storage.getReferenceFromUrl("gs://the-food-house.appspot.com/");
// Create a reference to "file"
    StorageReference mStorage = storageRef.child("Album Avatar")
            .child(UserUID)
            .child(AvatarUser.getLastPathSegment());
    mStorage.putFile(AvatarUser).addOnSuccessListener(new OnSuccessListener<UploadTask.TaskSnapshot>() {
        @Override
        public void onSuccess(UploadTask.TaskSnapshot taskSnapshot) {
            Toast.makeText(SignUpWithEmail.this, "UPLOAD FILE OK", Toast.LENGTH_SHORT).show();
        }
    }).addOnFailureListener(new OnFailureListener() {
        @Override
        public void onFailure(@NonNull Exception e) {
            Log.d("ERROR", e.toString());
            Toast.makeText(SignUpWithEmail.this, "Failed", Toast.LENGTH_SHORT).show();
        }
    };

这是我遇到的错误：

com.google.firebase.storage.StorageException: An unknown error occurred, please check the HTTP result code and inner exception for server response.

这是错误的详细信息：

Unrecognized GLES …

我有一个以字节为单位的图像：

print(image_bytes)

b'\xff\xd8\xff\xfe\x00\x10Lavc57.64.101\x00\xff\xdb\x00C\x00\x08\x04\x04\x04\x04\x04\x05\x05\x05\x05\x05\x05\x06\x06\x06\x06\x06\x06\x06\x06\x06\x06\x06\x06\x06\x07\x07\x07\x08\x08\x08\x07\x07\x07\x06\x06\x07\x07\x08\x08\x08\x08\t\t\t\x08\x08\x08\x08\t\t\n\n\n\x0c\x0c\x0b\x0b\x0e\x0e\x0e\x11\x11\x14\xff\xc4\x01\xa2\x00\x00\x01\x05\x01\x01\x01\x01\x01\x01\x00\x00\x00\x00\x00\x00\x00\x00\x01\x02\x03\x04\x05\x06\x07\x08\t\n\x0b\x01\x00\x03\x01\x01\x01\x01\x01\x01\x01\x01\x01\x00\x00\ ... some other stuff

我可以使用将其转换为NumPy数组Pillow：

image = numpy.array(Image.open(io.BytesIO(image_bytes))) 

但是我真的不喜欢使用枕头。有没有办法使用清晰的OpenCV，或者直接使用更好的NumPy，或者使用其他更快的库？

我正在使用 Spring Boot OAuth2Facebook 登录，但遇到错误：

JSON 解析错误：无法从 START_OBJECT 令牌反序列化 java.lang.String 的实例

相同的代码适用于 Google，登录按预期工作。我正在 Github 上关注此代码（https://github.com/callicoder/spring-boot-react-oauth2-social-login-demo）。

你能指导我解决这个问题吗？

以下是 SecurityConfig 的详细信息

@Override
protected void configure(HttpSecurity http) throws Exception {
    http
            .cors()
            .and()
            .sessionManagement()
            .sessionCreationPolicy(SessionCreationPolicy.STATELESS)
            .and()
            .csrf()
            .disable()
            .formLogin()
            .disable()
            .httpBasic()
            .disable()
            .exceptionHandling()
            .authenticationEntryPoint(new RestAuthenticationEntryPoint())
            .and()
            .authorizeRequests()
            .antMatchers("/","/public/**",
                    "/login",
                    "/register",
                    "/error",
                    "/favicon.ico",
                    "/**/*.png",
                    "/**/*.gif",
                    "/**/*.svg",
                    "/**/*.jpg",
                    "/**/*.html",
                    "/fonts/*.*",
                    "/webfonts/*.*",
                    "/**/*.css",
                    "/**/*.js")
            .permitAll()
            .antMatchers("/auth/**", "/oauth2/**")
            .permitAll()
            .anyRequest()
            .authenticated()
            .and()
            .oauth2Login()
            .authorizationEndpoint()
            .baseUri("/oauth2/authorize")        
            .authorizationRequestRepository 
                        (cookieAuthorizationRequestRepository())
            .and()
            .redirectionEndpoint()
            .baseUri("/oauth2/callback/*")
            .and()
            .userInfoEndpoint()
            .userService(customOAuth2UserService)
            .and() …