pkg go/build, method (*Context) ImportDir(string, ImportMode) (*Package, error)
pkg go/build, method (*Context) SrcDirs() []string
pkg go/build, method (*NoGoError) Error() string
pkg go/build, method (*Package) IsCommand() bool
pkg go/build, type Context struct
pkg go/build, type Context struct, BuildTags []string
pkg go/build, type Context struct, CgoEnabled bool
pkg go/build, type Context struct, Compiler string

		return fmt.Sprintf("%s:TIMESTAMP", x)
	case string:
		return fmt.Sprintf("\"%s\":%s", x, v.GetTypeString())
	case []byte:
		return fmt.Sprintf("\"%s\":BYTES", string(x))
	case []Value:
		var s strings.Builder
		s.WriteByte('[')
		for i, v := range x {
			s.WriteString(v.Repr())
			if i < len(x)-1 {
				s.WriteByte(',')
			}
		}
		s.WriteString("]:ARRAY")
		return s.String()
	case Missing:

            if (this.endDate == null) return;

            this.calculateChosenLabel();
        },

        renderCalendar: function(side) {

            //
            // Build the matrix of dates that will populate the calendar
            //

            var calendar = side == 'left' ? this.leftCalendar : this.rightCalendar;
            var month = calendar.month.month();

* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

### Concurrency + Parallelism: Web + Machine Learning

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

   * per call to submit() or submitAsync(), and each instance supports only one call to execute().
   *
   * <p>This class would certainly be simpler and easier to reason about if it were built with
   * ThreadLocal; however, ThreadLocal is not well optimized for the case where the ThreadLocal is
   * non-static, and is initialized/removed frequently - this causes churn in the Thread specific

	isReadLock := true
	return dm.lockBlocking(ctx, cancel, id, source, isReadLock, opts)
}

// lockBlocking will try to acquire either a read or a write lock
//
// The function will loop using a built-in timing randomized back-off
// algorithm until either the lock is acquired successfully or more
// time has elapsed than the timeout value.

		iamGroupsMap:            map[string]GroupInfo{},
		iamUserGroupMemberships: map[string]set.StringSet{},
		iamGroupPolicyMap:       xsync.NewMapOf[string, MappedPolicy](),
	}
}

// buildUserGroupMemberships - builds the memberships map. IMPORTANT:
// Assumes that c.Lock is held by caller.
func (c *iamCache) buildUserGroupMemberships() {
	for group, gi := range c.iamGroupsMap {
		c.updateGroupMembershipsMap(group, &gi)
	}
}

            modelBuilder = createModelBuilder();
        }
        return modelBuilder;
    }

    protected ModelBuilder createModelBuilder() {
        // from maven-model-builder
        DefaultModelProcessor modelProcessor = new DefaultModelProcessor(new DefaultModelXmlFactory(), List.of());
        return new DefaultModelBuilder(
                modelProcessor,

* Add /bin/mkfifo symlink to bazel build for busybox, so that CI builds have /bin/tee ([#59268](https://github.com/kubernetes/kubernetes/pull/59268), [@justinsb](https://github.com/justinsb))

			testWrite{"\x00\x00", 2, nil},
			testWrite{"abc", 3, nil},
			testWrite{"\x00\x00", 2, errUnrefData},
		},
	}}

	for i, v := range vectors {
		var wantStr string
		bb := new(strings.Builder)
		w := testNonEmptyWriter{bb}
		var fw fileWriter
		switch maker := v.maker.(type) {
		case makeReg:
			fw = &regFileWriter{w, maker.size}
			wantStr = maker.wantStr
		case makeSparse: