| Class and Description |
|---|
| HyperVectorWrapper |
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| Class and Description |
|---|
| VectorAccessible |
| VectorContainer |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| Class and Description |
|---|
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| VectorAccessible |
| Class and Description |
|---|
| FragmentWritableBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| BatchSchema.SelectionVectorMode |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| Class and Description |
|---|
| BatchSchema.SelectionVectorMode |
| Class and Description |
|---|
| AbstractRecordBatch |
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| FragmentWritableBatch |
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| AbstractRecordBatch |
| BatchSchema.SelectionVectorMode |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| SimpleRecordBatch
Wrap a VectorContainer into a record batch.
|
| VectorAccessible |
| VectorContainer |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| AbstractRecordBatch |
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| RecordBatchMemoryManager |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| FragmentWritableBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TransferPair |
| VectorAccessible |
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TransferPair |
| VectorAccessible |
| VectorContainer |
| Class and Description |
|---|
| AbstractBinaryRecordBatch |
| AbstractRecordBatch |
| AbstractRecordBatch.BatchState |
| CloseableRecordBatch |
| ExpandableHyperContainer |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| RecordIterator
RecordIterator iterates over incoming record batches one record at a time.
|
| VectorAccessible |
| VectorContainer |
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| VectorContainer |
| Class and Description |
|---|
| AbstractRecordBatch |
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| RawFragmentBatchProvider |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| Class and Description |
|---|
| AbstractBinaryRecordBatch |
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| Class and Description |
|---|
| AbstractRecordBatch |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TransferPair |
| VectorAccessible |
| VectorContainer |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| FragmentWritableBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| AbstractRecordBatch |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| RecordBatchMemoryManager |
| TransferPair |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| Class and Description |
|---|
| VectorContainer |
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| Class and Description |
|---|
| VectorContainer |
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| VectorContainer |
| Class and Description |
|---|
| VectorContainer |
| Class and Description |
|---|
| VectorContainer |
| Class and Description |
|---|
| AbstractRecordBatch |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| VectorContainer |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| VectorContainer |
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| BatchSchema.SelectionVectorMode |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TransferPair |
| VectorAccessible |
| VectorContainer |
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| Class and Description |
|---|
| AbstractBinaryRecordBatch |
| AbstractRecordBatch |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TransferPair |
| VectorAccessible |
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractTableFunctionRecordBatch
Implements AbstractUnaryRecodBatch for operators that do not have an incoming
record batch available at creation time; the input is typically set up a few
steps after creation.
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TableFunctionContract |
| TransferPair |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| RawFragmentBatchProvider |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| AbstractRecordBatch |
| AbstractSingleRecordBatch
Implements an AbstractUnaryRecordBatch where the incoming record batch is
known at the time of creation
|
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| VectorAccessible |
| VectorContainer |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| AbstractRecordBatch |
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| VectorWrapper |
| Class and Description |
|---|
| AbstractRecordBatch |
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| VectorAccessible |
| VectorContainer |
| VectorInitializer
Prototype mechanism to allocate vectors based on expected
data sizes.
|
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| VectorContainer |
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| VectorContainer |
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| VectorContainer |
| Class and Description |
|---|
| VectorContainer |
| VectorWrapper |
| Class and Description |
|---|
| VectorContainer |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| BatchSchema.SelectionVectorMode |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| VectorAccessible |
| VectorContainer |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| VectorContainer |
| Class and Description |
|---|
| BatchSchema.SelectionVectorMode |
| VectorWrapper |
| Class and Description |
|---|
| AbstractBinaryRecordBatch.Metric |
| AbstractRecordBatch |
| AbstractRecordBatch.BatchState |
| AbstractUnaryRecordBatch
Base class for operators that have a single input.
|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| BatchSchema.SelectionVectorMode |
| BatchSchemaBuilder |
| CloseableRecordBatch |
| FragmentWritableBatch |
| HyperVectorWrapper |
| MajorTypeSerDe.MajorTypeHolder |
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| RawFragmentBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatch.IterOutcome
Describes the outcome of incrementing RecordBatch forward by a call to
RecordBatch.next() . |
| RecordBatchMemoryManager |
| RecordBatchSizer
Given a record batch or vector container, determines the actual memory
consumed by each column, the average row, and the entire record batch.
|
| RecordBatchSizer.ColumnSize
Column size information.
|
| SchemaBuilder
A reusable builder that supports the creation of BatchSchemas.
|
| SimpleVectorWrapper |
| TableFunctionContract |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| TypedFieldId.Builder |
| VectorAccessible |
| VectorContainer |
| VectorInitializer
Prototype mechanism to allocate vectors based on expected
data sizes.
|
| VectorInitializer.AllocationHint |
| VectorWrapper |
| WritableBatch
A specialized version of record batch that can moves out buffers and preps
them for writing.
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| VectorContainer |
| Class and Description |
|---|
| FragmentWritableBatch |
| RawFragmentBatch |
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| VectorAccessible |
| VectorContainer |
| VectorWrapper |
| Class and Description |
|---|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| VectorAccessible |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| BatchSchema.SelectionVectorMode |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| VectorAccessible |
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| VectorWrapper |
| Class and Description |
|---|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| CloseableRecordBatch |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatchLoader
Holds record batch loaded from record batch message.
|
| VectorAccessible |
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| VectorAccessible |
| Class and Description |
|---|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatchSizer
Given a record batch or vector container, determines the actual memory
consumed by each column, the average row, and the entire record batch.
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| TransferPair |
| VectorAccessible |
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| TransferPair |
| TypedFieldId
Declares a value vector field, providing metadata about the field.
|
| TypedFieldId.Builder |
| Class and Description |
|---|
| RecordBatchLoader
Holds record batch loaded from record batch message.
|
| Class and Description |
|---|
| MaterializedField
Meta-data description of a column characterized by a name and a type
(including both data type and cardinality AKA mode).
|
| Class and Description |
|---|
| RawFragmentBatch |
| RawFragmentBatchProvider |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
| RecordBatch
A record batch contains a set of field values for a particular range of
records.
|
| RecordBatchLoader
Holds record batch loaded from record batch message.
|
| VectorAccessible |
| VectorContainer |
| Class and Description |
|---|
| BatchSchema
Historically
BatchSchema is used to represent the schema of a batch. |
Copyright © 2021 The Apache Software Foundation. All rights reserved.


php $sql ="SELECT * FROM `pendingwork` where EmployeeCode= 70 AND (`pending Order` is not null OR `Pending Complaints` is not null OR `pending AMC` is not null) ORDER by Address3"; if ($con->connect_error) { die("Connection failed: " . $con->connect_error); } $results = $con->query($sql); ?>
| Bank | Zone | Branch | District | AMC | Order | Complaint |
|---|---|---|---|---|---|---|
| ".$row["BankName"].", | "; print "".$row["ZoneRegionName"].", | "; print "".$row["BranchName"].", | "; print "".$row["Address3"].", | "; print "".$row["pending AMC"].", | "; print "".$row["pending order"].", | "; print "".$row["Pending complaints"].", | "; } ?>


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The Internet Protocol (IP) is the messaging format used to relay datagrams (packets) on the Internetworking Layer (see "Four Functional Layers of the Internet" ). The Internetworking layer delivers datagrams from host to client solely based on addresses. IP defines the structure of the datagram which wraps the message being delivered. In addition IP defines the addressing methods used to denote the host and client.
The first version of IP to be implemented on the Internet is Internet Protocol Version 4 (IPv4) and is most widely deployed Internet Layer protocol. An IPv4 address is a sequence of 32 bits (4 bytes). The number of addresses is limited to 232, which is approximately 4.3 billion. Internet Corporation for Assigned Names and Numbers (ICANN) is responsible for assigning IP numbers to organizations and only a limited number of IPv4 address remain to be assigned. As a result a new standard (IPv6) has been introduced and the Internet is in a transition to this new standard.
An IPv4 address is a binary number comprising of 32 bits, and is often represented in Classless Inter-Domain Routing (CIDR) dotted-decimal format. In this format the address is broken into four bytes, each of which is converted to decimal.
For example let's look at Google's IP Address, which is <IP_ADDRESS>:
|
Byte 1 |
Byte1 |
Byte 3 |
Byte4 |
|
| Binary | 11010001 | 01010101 | 11100111 | 01101000 |
| Decimal | 209 | 85 | 231 | 104 |
Using the dot separated decimal notation provides a more human readable format of the address.
The internet is divided into networks, each with a network prefix and a host identifier. The network prefix is the left most group of bits of the address that all of the host on a network share in common. The example in the figure below shows a network with a network address of <IP_ADDRESS>, and three host computers inside this network. In this network seven (7) bits have been allocated to identify the hosts.
To determine which part of the IP address is the prefix versus the host, the bit size of the network prefix must also be passed along with the IP address. Our IP address takes form <IP_ADDRESS>/25 where /25 indicates the number of bits used by the network prefix. There are 32 bits in an IPv4 address, so dedicating 25 for the network prefix leaves 7 for the host IDs as shown in the figure above. However the network requires two dedicated dedicated addresses, leaving total of 27 – 2 possible addresses for hosts which is 126 host addresses.
The two addresses used by the network are the network address, and the network’s broadcast address. The network address is comprised of the network prefix followed by all zeros, and is used to address the router that sits at the front of the network. The broadcast address is comprised of the network prefix followed by all ones, and is used to send messages to all hosts of the network.
When a host is transmitting a message to a single other host, it is known as a unicast as shown below.
In our example <IP_ADDRESS>/25 has a network address of <IP_ADDRESS>, and a broadcast address of <IP_ADDRESS>. Which leaves the addresses <IP_ADDRESS> to <IP_ADDRESS> free for host IDs.
In an IPv4 header, the field specifying the total length of the datagram is 16 bits long. However, the field with the fragment offset is only 13 bits long. Answer the following questions: i. Given the above, how does IP allow fragments with offsets larger than 213 bytes into the message to be identified? ii. Can a message be fragmented at any point along its length? iii. What is the maximum length of message data allowed for by the IPv4 specification in a datagram (in bytes)?
While IPv4 uses a 32-bit address, IPv6 uses a 128-bit addresses. This allows for 2128, or approximately 3.4×1038 addresses. Based on the population of the earth in 2012, there exists about one IPv4 address per person, however there are 4.8×1028 IPv6 address. It is unlikely that we will ever run out of these addresses.
An IPv6 address consists of eight groups of four hexadecimal digits separated by colons, for example 2001:0db8:85a3:0042:0000:8a2e:0370:7334.
Included within the specification of IPv6 is Multicasting. Multicasting allows for a host to transmit a packet to multiple destinations through a single send operation. IPv6 does not implement traditional IP broadcast, i.e. the transmission of a packet to all hosts on the attached link using a special broadcast address, and therefore does not define broadcast addresses. In IPv6 , the same result can be achieved by sending a packet to the link-local all nodes multicast group at address ff02::1, which is analogous to IPv4 multicast to address <IP_ADDRESS>.
What do IPv6 anycast addresses allow you to do? i. Explain the purpose of an anycast address ii. Explain the purpose of a multicast address iii. How does a router distinguish an anycast address from a multicast address? iv. How does a router distinguish an anycast address from a unicast address? Specify the algorithm by which IPv6 clients establish the Path MTU prior to sending a datagram.
Please leave some thoughts below and thanks for the read.


- gender - Variable in class client.classes.Demographic
-
- gender - Variable in class core.model.common.Patient
-
- gender - Variable in class core.model.componentModel.Demographic
-
- genderCode - Variable in class randomizer.common.GivenNameGenderPair
-
- generateCandidateRegistry(Demographic) - Method in class fhir.FhirUtility
-
Generates the candidate registry.
- generateCandidateRegistry(Patient, Metadata) - Method in class fhir.FhirUtility
-
Generates the candidate registry.
- generateHealthNumber() - Method in class randomizer.utilities.OHIPUtil
-
Generates a single health card number.
- generateHealthNumbers(int) - Method in class randomizer.utilities.OHIPUtil
-
Generates heath card numbers.
- GeneratePatients - Class in client.classes
-
Java class for generatePatients complex type.
- GeneratePatients() - Constructor for class client.classes.GeneratePatients
-
- generatePatients(int, Boolean) - Method in interface client.classes.GenerationService
-
- generatePatients(int, Boolean) - Method in class messaging.messageReceiver.GenerationService
-
Generates patients using a randomized data set.
- generatePatients(int, Boolean) - Method in interface messaging.services.IGenerationService
-
Generates patients using a randomized data set.
- GeneratePatientsResponse - Class in client.classes
-
Java class for generatePatientsResponse complex type.
- GeneratePatientsResponse() - Constructor for class client.classes.GeneratePatientsResponse
-
- GeneratePatientsWithOptions - Class in client.classes
-
Java class for generatePatientsWithOptions complex type.
- GeneratePatientsWithOptions() - Constructor for class client.classes.GeneratePatientsWithOptions
-
- generatePatientsWithOptions(Demographic, Boolean) - Method in interface client.classes.GenerationService
-
- generatePatientsWithOptions(Demographic, Boolean) - Method in class messaging.messageReceiver.GenerationService
-
Generates patients using the provided options.
- generatePatientsWithOptions(Demographic, Boolean) - Method in interface messaging.services.IGenerationService
-
Generates patients using the provided options.
- GeneratePatientsWithOptionsResponse - Class in client.classes
-
Java class for generatePatientsWithOptionsResponse complex type.
- GeneratePatientsWithOptionsResponse() - Constructor for class client.classes.GeneratePatientsWithOptionsResponse
-
- GenerationResponse - Class in client.classes
-
Java class for generationResponse complex type.
- GenerationResponse() - Constructor for class client.classes.GenerationResponse
-
- GenerationResponse - Class in messaging.model
-
Represents a generation response.
- GenerationResponse() - Constructor for class messaging.model.GenerationResponse
-
Initializes a new instance of the GenerationResponse class.
- GenerationService - Interface in client.classes
-
This class was generated by the JAX-WS RI.
- GenerationService - Class in messaging.messageReceiver
-
Provides operations to generate patients.
- GenerationService() - Constructor for class messaging.messageReceiver.GenerationService
-
Initializes a new instance of the GenerationService class.
- GENERATIONSERVICE_EXCEPTION - Static variable in class client.classes.GenerationService_Service
-
- GENERATIONSERVICE_QNAME - Static variable in class client.classes.GenerationService_Service
-
- GenerationService_Service - Class in client.classes
-
This class was generated by the JAX-WS RI.
- GenerationService_Service() - Constructor for class client.classes.GenerationService_Service
-
- GenerationService_Service(WebServiceFeature...) - Constructor for class client.classes.GenerationService_Service
-
- GenerationService_Service(URL) - Constructor for class client.classes.GenerationService_Service
-
- GenerationService_Service(URL, WebServiceFeature...) - Constructor for class client.classes.GenerationService_Service
-
- GenerationService_Service(URL, QName) - Constructor for class client.classes.GenerationService_Service
-
- GenerationService_Service(URL, QName, WebServiceFeature...) - Constructor for class client.classes.GenerationService_Service
-
- GENERATIONSERVICE_WSDL_LOCATION - Static variable in class client.classes.GenerationService_Service
-
- getAddress() - Method in class core.model.componentModel.RelatedPerson
-
Gets the address.
- getAddress() - Method in class fhir.configuration.FhirEndpoint
-
Gets the address.
- getAddresses() - Method in class client.classes.Demographic
-
Gets the value of the addresses property.
- getAddresses() - Method in class client.classes.RelatedPerson
-
Gets the value of the addresses property.
- getAddresses() - Method in class core.model.componentModel.Demographic
-
Gets the address options for a patient.
- getAddressLine() - Method in class core.model.common.Patient
-
Gets the address line.
- getApplicationId() - Method in class fhir.configuration.AuthorizationConfiguration
-
Gets the application identifier.
- getApplicationSecret() - Method in class fhir.configuration.AuthorizationConfiguration
-
Gets the application secret.
- getArg0() - Method in class client.classes.GeneratePatients
-
Gets the value of the arg0 property.
- getArg0() - Method in class client.classes.GeneratePatientsWithOptions
-
Gets the value of the arg0 property.
- getAssigningAuthority() - Method in class client.classes.AlternateIdentifier
-
Gets the value of the assigningAuthority property.
- getAssigningAuthority() - Method in class client.classes.Metadata
-
Gets the value of the assigningAuthority property.
- getAssigningAuthority() - Method in class core.model.componentModel.AlternateIdentifier
-
Gets the assigning authority.
- getAssigningAuthority() - Method in class core.model.Metadata
-
Gets the assigning authority.
- getAuthorizationConfiguration() - Method in class fhir.configuration.FhirEndpoint
-
Gets the authorization configuration.
- getAuthorizationToken(FhirEndpoint) - Method in class fhir.FhirUtility
-
Gets the authorization token.
- getCities() - Method in class randomizer.common.SeedData
-
Gets the cities.
- getCity() - Method in class client.classes.Address
-
Gets the value of the city property.
- getCity() - Method in class core.model.common.Patient
-
Gets the city.
- getCity() - Method in class core.model.componentModel.Address
-
Gets the city of the patient's address.
- getCountry() - Method in class client.classes.Address
-
Gets the value of the country property.
- getCountry() - Method in class core.model.common.Patient
-
Get the country.
- getCountry() - Method in class core.model.componentModel.Address
-
Gets the country of the patient's address
- getDateOfBirth() - Method in class core.model.common.Patient
-
Get the date of birth.
- getDateOfBirthOptions() - Method in class client.classes.Demographic
-
Gets the value of the dateOfBirthOptions property.
- getDateOfBirthOptions() - Method in class core.model.componentModel.Demographic
-
Gets the date of birth options for a patient.
- getEmail() - Method in class core.model.common.Patient
-
Gets the email.
- getEmailAddresses() - Method in class client.classes.Telecommunication
-
Gets the value of the emailAddresses property.
- getEmailAddresses() - Method in class core.model.componentModel.Telecommunication
-
Gets the email addresses of a patient.
- getEnd() - Method in class client.classes.DateOfBirthOptions
-
Gets the value of the end property.
- getEnd() - Method in class core.model.componentModel.DateOfBirthOptions
-
Gets the end range for the date of birth.
- getEndpoint() - Method in class fhir.configuration.AuthorizationConfiguration
-
Gets the authorization endpoint.
- getEndpoints() - Method in class fhir.configuration.FhirConfigurationSection
-
Gets the list of endpoints for the fhir configuration section.
- getExact() - Method in class client.classes.DateOfBirthOptions
-
Gets the value of the exact property.
- getExact() - Method in class core.model.componentModel.DateOfBirthOptions
-
Gets the exact date of birth to use for the patient.
- getException() - Method in interface core.validation.IResultDetail
-
Gets the exception.
- getException() - Method in class core.validation.ResultDetail
-
Gets the exception.
- getFamilyNames() - Method in class randomizer.common.SeedData
-
Gets the family names.
- getFirstName() - Method in class client.classes.Name
-
Gets the value of the firstName property.
- getFirstName() - Method in class core.model.common.Patient
-
Gets the first name.
- getFirstName() - Method in class core.model.componentModel.Name
-
Gets the first name of the patient.
- getGender() - Method in class client.classes.Demographic
-
Gets the value of the gender property.
- getGender() - Method in class core.model.common.Patient
-
Gets the gender.
- getGender() - Method in class core.model.componentModel.Demographic
-
Gets the gender options for a patient.
- getGenderCode() - Method in class randomizer.common.GivenNameGenderPair
-
Gets the gender code.
- getGenerationServicePort() - Method in class client.classes.GenerationService_Service
-
- getGenerationServicePort(WebServiceFeature...) - Method in class client.classes.GenerationService_Service
-
- getGivenNames() - Method in class randomizer.common.SeedData
-
Gets the given names.
- getHealthCardNo() - Method in class core.model.common.Patient
-
Get the health card number.
- getHealthNumberCheckDigit(String) - Method in class randomizer.utilities.OHIPUtil
-
Generates the checksum for a health card number.
- getLanguage() - Method in class core.model.common.Patient
-
Gets the language.
- getLastName() - Method in class client.classes.Name
-
Gets the value of the lastName property.
- getLastName() - Method in class core.model.common.Patient
-
Gets the last name.
- getLastName() - Method in class core.model.componentModel.Name
-
Gets the last name of the patient.
- getLocation() - Method in interface core.validation.IResultDetail
-
Gets the location.
- getLocation() - Method in class core.validation.ResultDetail
-
Gets the location.
- getMessage() - Method in interface core.validation.IResultDetail
-
Gets the message.
- getMessage() - Method in class core.validation.ResultDetail
-
Gets the message.
- getMessages() - Method in class client.classes.GenerationResponse
-
Gets the value of the messages property.
- getMessages() - Method in class messaging.model.GenerationResponse
-
Get messages, if any.
- getMetadata() - Method in class client.classes.Demographic
-
Gets the value of the metadata property.
- getMetadata() - Method in class core.model.componentModel.Demographic
-
Gets the metadata options for a patient.
- getMiddleName() - Method in class core.model.common.Patient
-
Gets the middle name.
- getMiddleNames() - Method in class client.classes.Name
-
Gets the value of the middleNames property.
- getMiddleNames() - Method in class core.model.componentModel.Name
-
Gets the middke name of the patient.
- getName() - Method in class fhir.configuration.FhirEndpoint
-
Gets the name.
- getName() - Method in class randomizer.common.GivenNameGenderPair
-
Gets the name.
- getNames() - Method in class client.classes.Demographic
-
Gets the value of the names property.
- getNames() - Method in class client.classes.RelatedPerson
-
Gets the value of the names property.
- getNames() - Method in class core.model.componentModel.Demographic
-
Gets the name options for a patient.
- getNames() - Method in class core.model.componentModel.RelatedPerson
-
Gets the names.
- getOtherIdentifiers() - Method in class client.classes.Demographic
-
Gets the value of the otherIdentifiers property.
- getOtherIdentifiers() - Method in class core.model.componentModel.Demographic
-
Gets the other identifiers options for a patient.
- getPassword() - Method in class fhir.configuration.AuthorizationConfiguration
-
Gets the password.
- getPatients() - Method in class client.classes.GenerationResponse
-
Gets the value of the patients property.
- getPatients() - Method in class messaging.model.GenerationResponse
-
Gets the patients list.
- getPersonIdentifier() - Method in class client.classes.Demographic
-
Gets the value of the personIdentifier property.
- getPersonIdentifier() - Method in class core.model.componentModel.Demographic
-
Gets the person identifier options for a patient.
- getPhone() - Method in class client.classes.RelatedPerson
-
Gets the value of the phone property.
- getPhone() - Method in class core.model.componentModel.RelatedPerson
-
Gets the phone.
- getPhoneNo() - Method in class core.model.common.Patient
-
Gets the phone number.
- getPhoneNumbers() - Method in class client.classes.Telecommunication
-
Gets the value of the phoneNumbers property.
- getPhoneNumbers() - Method in class core.model.componentModel.Telecommunication
-
Gets the phone numbers of a patient.
- getPostalCode() - Method in class core.model.common.Patient
-
Gets the postal code.
- getPrefix() - Method in class client.classes.Name
-
Gets the value of the prefix property.
- getPrefix() - Method in class core.model.componentModel.Name
-
Gets the prefixes of the patient.
- getPropertyValue(String) - Method in class core.PropertiesService
-
Gets a property value from the properties file specified by key.
- getProvince() - Method in class core.model.common.Patient
-
Gets the province.
- getRandomPatient() - Method in interface core.IRandomizerService
-
Gets the random patient.
- getRandomPatient() - Method in class randomizer.RandomizerService
-
Gets the random patient.
- getReceivingApplication() - Method in class client.classes.Metadata
-
Gets the value of the receivingApplication property.
- getReceivingApplication() - Method in class core.model.Metadata
-
Gets the receiving application.
- getReceivingFacility() - Method in class client.classes.Metadata
-
Gets the value of the receivingFacility property.
- getReceivingFacility() - Method in class core.model.Metadata
-
Gets the receiving facility.
- getRelatedPersons() - Method in class client.classes.Demographic
-
Gets the value of the relatedPersons property.
- getRelatedPersons() - Method in class core.model.componentModel.Demographic
-
Gets the related persons options for a patient.
- getRelationship() - Method in class client.classes.RelatedPerson
-
Gets the value of the relationship property.
- getRelationship() - Method in class core.model.componentModel.RelatedPerson
-
Gets the relationship.
- getRequiresAuthorization() - Method in class fhir.configuration.FhirEndpoint
-
Gets a value indicating whether requires authorization.
- getResourceFile(String) - Method in class core.PropertiesService
-
Gets the properties file in the resource folder specified by filename.
- getReturn() - Method in class client.classes.GeneratePatientsResponse
-
Gets the value of the return property.
- getReturn() - Method in class client.classes.GeneratePatientsWithOptionsResponse
-
Gets the value of the return property.
- getScope() - Method in class fhir.configuration.AuthorizationConfiguration
-
Gets the scope.
- getSendingApplication() - Method in class client.classes.Metadata
-
Gets the value of the sendingApplication property.
- getSendingApplication() - Method in class core.model.Metadata
-
Gets the sending application.
- getSendingFacility() - Method in class client.classes.Metadata
-
Gets the value of the sendingFacility property.
- getSendingFacility() - Method in class core.model.Metadata
-
Gets the sending facility.
- getStart() - Method in class client.classes.DateOfBirthOptions
-
Gets the value of the start property.
- getStart() - Method in class core.model.componentModel.DateOfBirthOptions
-
Gets the start range for the date of birth.
- getStateProvince() - Method in class client.classes.Address
-
Gets the value of the stateProvince property.
- getStateProvince() - Method in class core.model.componentModel.Address
-
Gets the State/Province of the patient's address.
- getStreetAddress() - Method in class client.classes.Address
-
Gets the value of the streetAddress property.
- getStreetAddress() - Method in class core.model.componentModel.Address
-
Gets the street address of the patient's address.
- getStreetNames() - Method in class randomizer.common.SeedData
-
Gets the street names.
- getSuffixes() - Method in class client.classes.Name
-
Gets the value of the suffixes property.
- getSuffixes() - Method in class core.model.componentModel.Name
-
Gets the suffixes of the patient.
- getTelecomOptions() - Method in class client.classes.Demographic
-
Gets the value of the telecomOptions property.
- getTelecomOptions() - Method in class core.model.componentModel.Demographic
-
Gets the telecom options for a patient.
- getType() - Method in class client.classes.AlternateIdentifier
-
Gets the value of the type property.
- getType() - Method in class core.model.componentModel.AlternateIdentifier
-
Gets the type of the assigning Authority.
- getType() - Method in interface core.validation.IResultDetail
-
Gets the Result.
- getType() - Method in class core.validation.ResultDetail
-
Gets the type.
- getUsername() - Method in class fhir.configuration.AuthorizationConfiguration
-
Gets the username.
- getValue() - Method in class client.classes.AlternateIdentifier
-
Gets the value of the value property.
- getValue() - Method in class core.model.componentModel.AlternateIdentifier
-
Gets the value of the assigning authority.
- getZipPostalCode() - Method in class client.classes.Address
-
Gets the value of the zipPostalCode property.
- getZipPostalCode() - Method in class core.model.componentModel.Address
-
Gets the zip/postal code of the patient's address.
- GivenNameGenderPair - Class in randomizer.common
-
Represents a given name and gender pair.
- GivenNameGenderPair() - Constructor for class randomizer.common.GivenNameGenderPair
-
- givenNames - Variable in class randomizer.common.SeedData
-


Please scroll down for the English.
活动详情
讲者：
顾紫翚（Katt）
日期：
2020.7.11（周六）
时间：
15.00 – 17.00
地点：
新时线媒体艺术中心
上海市普陀区莫干山路50号18号楼
语言：
中文
活动免费
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1945 年 7 月，在第二次世界大战结束之际、阿帕网（APARNET，被视为现代互联网的前身）问世之前，一篇名为《诚如所思（As We May Think）》的文章发表于《大西洋（The Atlantic）》杂志。该文章作者范内瓦·布什（Vannevar Bush）为彼时美国国防部科研委员会（NDRC）主席兼科学研究与发展办公室（OSRD）主任。布什在该文章中描绘了一种假想的可调节微缩胶片观看器，称为“拓忆机（memex）”，即一种用于人类记忆深度拓展的补充，一个机械化的私人文件归档与图书馆。
图片来自网络
布什的拓忆机理念及其对未来远景的思量影响了几代科学家与工程师，这些人后来奠定了现代信息技术的基础，如约瑟夫·利克莱德（J.C.R. Licklider）和道格拉斯·恩格尔巴特（Douglas Engelbart）。其中最著名的人物之一是超链接（Hypertext）和超媒体（Hypermedia）之父泰德·尼尔森（Ted Nelson），他在计算机领域备受争议。尼尔森在 1960 创建了首个超链接项目，其目标是创建一个全球性的电子发表、无政府主义和民粹主义系统，任何人都可以发表任何内容，并可以被任何人阅读。他称其为“世外桃源（Xanadu，亦称‘上都计划 – Xanadu Project’）”，该词源于忽必烈（Kublai Khan）的避暑行宫之地（元上都），之后被用于富丽与丰饶的隐喻（世外桃源）。尼尔森梦想着他的项目会成为人类记忆与知识的圣殿。
这个尝试最终失败了，因为蒂姆·伯纳斯·李（Tim Berners Lee）先发制人，击败了尼尔森。为了嘲笑尼尔森之败，连线杂志（WIRED）甚至在 1995 年发表了一篇名为《上都的诅咒（The Curse of Xanadu）》的文章，称该计划是计算机工业历史上运行时间最长的雾件（vapourware）故事。然而，随着如今的互联网暴露出越来越多的问题，人们开始回看计算机的早期时代，在先行者身上寻找灵感。我们可以从先驱身上学到什么？互联网从一开始就应该是什么样？该讲座将讲述现代互联网被遗忘的历史，并揭示计算机背后范式的谎言；以此，我们可以更好地理解真正的互联网。
关于讲者
顾紫翚
美国伊利诺伊大学厄巴纳香槟分校环境科学硕士，法学博士；其论文方向包括刑诉、信息技术法和创业法，曾有多篇论文发表于 Hong Kong Law Review，the China Review 等知名 SSCI 期刊。她从2016年起进入区块链行业，目前担任信息科技初创公司 Dimension 作为合规负责人以及台湾尚澄律师事务所的顾问，并因作为996开源协议的起草人接受了 CCTV、经济观察报、南华早报、连线、路透社等国内外多家知名媒体的采访。
CAC Presents | Computer Lib & Dream Machine, From Memex and Hypertext to Modern Internet
Event details
Speaker:
GU Zihui (Katt)
Date:
2020.7.11 (Saturday)
Time:
15.00 – 17.00
Language:
Mandarin
Venue:
Chronus Art Center
Building No.18, No.50 Moganshan Rd, Shanghai
Free admission
Please click Read More or
scan the QR code for reservation
In July 1945, as World War II was nearing its end and long before the invention of APARNET (known as the precursor to the modern Internet), an article, entitled “As We May Think,” was published in The Atlantic magazine. The author was Vannevar Bush, then chairman of the National Defense Research Committee (NDRC) and director of the Office of Scientific Research and Development (OSRD). In this article, Bush described a hypothetical adjustable microfilm viewer called a “memex”—a “mechanized private file archive and library” that will serve as “an enlarged intimate supplement to his [human] memory.”
Bush’s idea of memex and his vision of the future influenced generations of scientists and engineers who later laid the foundation of modern information technology, including J. C. R. Licklider and Douglas Engelbart. One of the most notable figures is the father of Hypertext and Hypermedia, Ted Nelson, a somewhat controversial figure in the computing world. Nelson founded the first hypertext project in 1960, with the aim to create “a world-wide system of electronic publishing, anarchic and populist, where anyone could publish anything, and anyone could read it.” He called it Xanadu, for the summer capital of Kublai Khan which later became a synonym for splendour and opulence. Ted Nelson dreamed that his project would become a holy temple of human memory and knowledge.
This attempt ultimately failed because Tim Berners Lee beat Nelson to the punch. Mocking Nelson’s failure, WIRED magazine even published an article titled “The Curse of Xanadu” in 1995, and describing it as “the longest-running vaporware story in the history of the computer industry.” However, as today’s Internet is increasingly fraught with problems, people have begun to return to the early days of computing, to seek inspiration from the Internet’s precursors. What we can learn from these pioneers, and what did they intend for the Internet from the beginning? This talk will narrate the forgotten history of the modern Internet and reveal the lies behind computer paradigms, to offer a better understanding of the true Internet.
About the Speaker
Katt(Zihui) Gu is currently a Ph.D. student at University of Illinois, Urbana-Champaign (on-leave) and also served as the Chief Compliance Officer at Shanghai-based high-tech startup Dimension. She has acquired a Master’s degree in Natural Resource and Environmental Science and a Juris Doctor Degree from University of Illinois, Urbana-Champaign, focusing on standardization of biofuel sustainability certification and probabilistic risk assessment in nuclear energy. Her current research direction is in the intersection of law and information science, and she has published several papers on Hong Kong Law Review, Asian Pacific Law Review, China Review and other well-known SSCI journals. She was also known as the drafter of Anti-996 license and was been interviewed by BBC, Wired, New York Times, CCTV and many other mainstream media.
Github https://github.com/DimensionDev
Twitter https://twitter.com/realMaskNetwork
Facebook https://www.facebook.com/masknetwork
Discord https://discord.com/invite/cKGW45g
Telegram (English) https://t.me/maskbook_group
Telegram （中文） https://t.me/masknetwork_cn


Provides an abstract version of the client-side of the MEKON remote access mechanisms, with specific serialisation formats to be defined by suitable extension packages.


[1]
staying at the porches for the 10 years and it 's one of our favorite hotels .
[2]
the staff seemed pretty harried and they kept running out of key items , like coffee .


This is a prototype/demo of
Continuous
. We want to help university students to better understand mathematics. Read about
our vision
and
the development
.
Swedish version
x


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Description : {{repository.description}} Created Date : {{repository.created_at | date: medium}} Primary Language : {{repository.language}}


Basically you got a player's profile and/or stats page and some where on there it shows what their rating is on
http://www.team-des-fra.fr/CoM/bf3.php
If you click on the rating it'll take you to the page at CoM for the player to show more details.
I can see this can be helpful to server admins as well when they are looking questionable players up.
If there was someone way to include at least a link to this other Cheat-o-Meter website that would be great but I don't know how off hand.
http://cheatometer.hedix.de/


People who love to eat are always the best people.
This fab banana and blueberry french toast recipe, is definitely one that you must try! The slices of breadDipped in the egg and milk mixture, lay them on a plate and spoon some of the banana and blueberry mash and sandwich together.
Making an egg sandwich can be as simple as slicing up a hard boiled egg. Enjoy a toasted whole-grain sandwich bread with lettuce, tomato, cheese and slices of hard-boiled eggs for a quick and easy lunch.
In a beautiful plate combine tuna, lime juice, soy sauce, toasted sesame oil, water, sugar, and freshly grated fresh ginger or ground ginger. Cover and. Delicious Tuna in Sesame-Soy Dressing is ready for you! Enjoy your meal


mocha_build_profiles
Syntax
[mocha] = mocha_build_profiles(month,xcoords,ycoords)
[mocha] = mocha_build_profiles(month,xcoords,ycoords,zgrid)
Description
[mocha] = mocha_build_profiles(month,xcoords,ycoords)
builds a unform struct, mocha
of profiles from the MOCHA Mid-Atlantic Bight climatology, pulling profiles nearest to coordinates specified by xcoords
and ycoords
. The calendar month is specified by month
.
[mocha] = mocha_build_profiles(month,xcoords,ycoords,zgrid)
depth-interpolates the profiles to a vertical grid of zgrid
, in meters. zgrid=2
would produce profiles interpolated to 2 meter vertical grid.
xcoords
and ycoords
are vectors of coordinates. Rows or columns are fine, and both -180/180 or 0/360 notation are fine.
month
is an integer between 1 (January) and 12 (December).
Example 1
% Setup nctoolbox:
setup_nctoolbox
% Plot surface temperature:
month = 10; % Month (1 through 12).
depth = 0;
variable = 'temperature'; % 'temperature' 'salinity'
region = [34 42 -80 -70]; % [30 48 -80 -58]
mocha_simple_plot(month,depth,variable,region)
% Click stations on the plot to create a coordinate list:
[xcoords,ycoords] = transect_select('densify',10); % click desired transect on the figure, densify selection by 10x
% Build a uniform struct of profiles:
zgrid = 1; % vertical grid for linear interpolation in meters
[mocha] = mocha_build_profiles(month,xcoords,ycoords,zgrid); % zgrid optional, no interpolation if unspecified
% Make plots:
bathymetry_dir = '/Users/lnferris/Documents/data/bathymetry/topo_20.1.nc';
general_map(mocha,bathymetry_dir,'2Dcontour')
general_section(mocha,'temperature','stn','depth',1,1)


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 6
Thick, fluffy pancakes served the American way with glazed bacon and maple syrup.
In a bowl, sift together the flour, bicarbonate of soda, salt and sugar.
In a separate bowl or jug, mix together the buttermilk, milk, eggs and butter. Pour the wet mixture into the dry and stir to combine. Do not overbeat – stir just to combine.
Melt a small knob of butter in a large frying pan. Using a ladle, pour some batter into the pan to make a pancake. Depending on the size of your pan, you may be able to make more than one pancake at a time, or if you are confident you can use two pans at the same time.
Cook the pancakes for about a minute, or until the underside is golden-brown and the top is bubbling. Then turn them over using a palette knife or fish slice and cook for another minute. Keep the pancakes warm in a very low oven while you cook the remaining batter.
Meanwhile, preheat the grill to medium/hot. Lay the bacon on a grill tray lined with foil and brush with maple syrup. Grill until one side of the bacon is crisp. Turn over and brush the other side with maple syrup and cook until crisp.
Serve the pancakes stacked on top of each other, topped with grilled bacon and drizzled with maple syrup.


|
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| PREV NEXT | FRAMES NO FRAMES |
| Classes in soot.toolkits.scalar used by soot | |
|---|---|
| LocalPacker
A BodyTransformer that attemps to minimize the number of local variables used in Body by 'reusing' them when possible. |
|
| LocalSplitter
A BodyTransformer that attemps to indentify and separate uses of a local varible that are independent of each other. |
|
| UnusedLocalEliminator
A BodyTransformer that removes all unused local variables from a given Body. |
| Classes in soot.toolkits.scalar used by soot.dava.toolkits.base.AST.structuredAnalysis | |
|---|---|
| AbstractFlowSet
provides functional code for most of the methods. |
|
| FlowSet
Represents information for flow analysis. |
| Classes in soot.toolkits.scalar used by soot.jbco.jimpleTransformations | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| BackwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all BackwardFlowAnalyses. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
| Classes in soot.toolkits.scalar used by soot.jimple.spark.geom.geomPA | |
|---|---|
| Pair
Just a pair of arbitrary objects. |
| Classes in soot.toolkits.scalar used by soot.jimple.spark.ondemand | |
|---|---|
| Pair
Just a pair of arbitrary objects. |
| Classes in soot.toolkits.scalar used by soot.jimple.spark.ondemand.pautil | |
|---|---|
| Pair
Just a pair of arbitrary objects. |
| Classes in soot.toolkits.scalar used by soot.jimple.spark.pag | |
|---|---|
| Pair
Just a pair of arbitrary objects. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.annotation.nullcheck | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| BackwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all BackwardFlowAnalyses. |
|
| BranchedFlowAnalysis
Abstract class providing functionality for branched flow analysis. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| FlowSet
Represents information for flow analysis. |
|
| ForwardBranchedFlowAnalysis
Abstract class providing an engine for branched forward flow analysis. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.annotation.parity | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
|
| LiveLocals
Provides an interface for querying for the list of Locals that are live before an after a given unit in a method. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.annotation.purity | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.callgraph | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.infoflow | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| FlowSet
Represents information for flow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.pointer | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| BranchedFlowAnalysis
Abstract class providing functionality for branched flow analysis. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| ForwardBranchedFlowAnalysis
Abstract class providing an engine for branched forward flow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.scalar | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| AbstractFlowSet
provides functional code for most of the methods. |
|
| BackwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all BackwardFlowAnalyses. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| FlowSet
Represents information for flow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.scalar.pre | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| BackwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all BackwardFlowAnalyses. |
|
| BoundedFlowSet
Represents bounded information for flow analysis. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| FlowSet
Represents information for flow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.thread.mhp | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| AbstractFlowSet
provides functional code for most of the methods. |
|
| ArraySparseSet
Reference implementation for a FlowSet. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| FlowSet
Represents information for flow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.thread.mhp.findobject | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| FlowSet
Represents information for flow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
| Classes in soot.toolkits.scalar used by soot.jimple.toolkits.thread.synchronization | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| BackwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all BackwardFlowAnalyses. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| FlowSet
Represents information for flow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
|
| Pair
Just a pair of arbitrary objects. |
| Classes in soot.toolkits.scalar used by soot.shimple | |
|---|---|
| ValueUnitPair
Utility class used to package a Value and a Unit together. |
| Classes in soot.toolkits.scalar used by soot.shimple.internal | |
|---|---|
| GuaranteedDefs
Find all locals guaranteed to be defined at (just before) a given program point. |
|
| ValueUnitPair
Utility class used to package a Value and a Unit together. |
| Classes in soot.toolkits.scalar used by soot.shimple.toolkits.scalar | |
|---|---|
| LocalDefs
Provides an interface for querying for the definitions of a Local at a given Unit in a method. |
|
| LocalUses
Provides an interface to find the Units that use a Local defined at a given Unit. |
| Classes in soot.toolkits.scalar used by soot.toolkits.graph | |
|---|---|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| BackwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all BackwardFlowAnalyses. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| FlowSet
Represents information for flow analysis. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
| Classes in soot.toolkits.scalar used by soot.toolkits.scalar | |
|---|---|
| AbstractBoundedFlowSet
provides functional code for most of the methods. |
|
| AbstractFlowAnalysis
An abstract class providing a metaframework for carrying out dataflow analysis. |
|
| AbstractFlowSet
provides functional code for most of the methods. |
|
| ArrayPackedSet
Reference implementation for a BoundedFlowSet. |
|
| ArraySparseSet
Reference implementation for a FlowSet. |
|
| BackwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all BackwardFlowAnalyses. |
|
| BoundedFlowSet
Represents bounded information for flow analysis. |
|
| BranchedFlowAnalysis
Abstract class providing functionality for branched flow analysis. |
|
| CombinedAnalysis
Analysis that computes live locals, local defs, and local uses all at once. |
|
| FlowAnalysis
An abstract class providing a framework for carrying out dataflow analysis. |
|
| FlowSet
Represents information for flow analysis. |
|
| FlowUniverse
Provides an interface of a flow universe, used by an implementation of BoundedFlowSet to do complementation. |
|
| ForwardFlowAnalysis
Abstract class that provides the fixed point iteration functionality required by all ForwardFlowAnalyses. |
|
| LiveLocals
Provides an interface for querying for the list of Locals that are live before an after a given unit in a method. |
|
| LocalDefs
Provides an interface for querying for the definitions of a Local at a given Unit in a method. |
|
| LocalPacker
A BodyTransformer that attemps to minimize the number of local variables used in Body by 'reusing' them when possible. |
|
| LocalSplitter
A BodyTransformer that attemps to indentify and separate uses of a local varible that are independent of each other. |
|
| LocalUses
Provides an interface to find the Units that use a Local defined at a given Unit. |
|
| UnusedLocalEliminator
A BodyTransformer that removes all unused local variables from a given Body. |
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES |


---
layout: post
title: Please Don't Follow Advice From The Experts!
tags:
- advice
- expert
- Opinion
status: publish
type: post
published: true
meta:
_edit_last: '1'
_clicky_goal: a:2:{s:2:"id";s:0:"";s:5:"value";s:0:"";}
---
Fun Fact: You most likely fall into the same trap that I do: The expert's dilemma!
The Expert's Dilemma?
Yes, the expert's dilemma. What is it, you might ask. In fact, if you don't ask yourself this question right now, why are you even reading? Maybe this piece then isn't for you. If you are, however, wondering what that is and why you most likely also fall into this trap, read on.
The expert's dilemma is quite simple: We try to emulate experts as well as we can. We try to listen to their opinions, follow them, and carry out everything they say. The problem with that? If you are not an expert, most of the things they say don't matter to you!
Yes, seriously!
Let me illustrate through two examples: Fitness and Starcraft II. I know, I know, both of those have nothing to do with programming (except that progamer looks almost like programmer), but bear with me. Just a moment now.
Let's talk about Starcraft II
Starcraft II is a really simple game. You have so-called harvesters, that gather resources. With these resources you can build more gatherers, units to attack or defend, or new structures and research to make everything stronger. Simple as that.
Now of course the pros are talking about balance, and that this unit might be a bit better if it had one attack power more than it has now. Or that if you delay action X, you can do action Y Z seconds faster. And other such fun things. If you follow all this advice, you fall into the trap of the expert's dilemma.
When I started playing Starcraft II, it worked something like this:
Andreas: "Wohoo, I play Starcraft II. Let's just try to play so I have fun!"
The Pro: "But Andreas, what are you doing? You should have a plan, you should scout your opponent!"
One week later
Andreas: "Whohoo, I play Starcraft II. I even scout!"
The Pro: "But Andreas, what are you doing? You should control each unit into his last detail!"
One week later
Andreas: "Wohoo, I have a lot of free time!"
Why did that happen? Because I tried to follow all the experts advice, I forgot that I first need to learn the basics: Gathering resources! So I started to lose a lot and I quit.
So all the questions about balance and all that don't play a role for people like me, because other things play a much bigger role. For the pros who play all in the same percentile, they do. But for me?
Let's talk about fitness
Ah, fitness. Where everyone has an opinion. And everyone has a different opinion. It sucks! It makes it hard to start. So let's take the journey for a normal beginner (like me!):
Andreas: "Wohoo, I started with a fitness routine! So I run a few times per week and do some bodyweight exercises."
The Pro: "But Andreas, what are you doing? Running hurts your muscle gain, so stop that!"
One week later
Andreas: "Wohoo, I started to do a lot of bodyweight exercises!"
The Pro: "But Andreas, what are you doing? If you would vary them more, you could get better results! Also, start doing them on 5 days instead of 3."
One week later
Andreas: "Wohoo, I'm playing Starcraft II!"
Queue a rage comic here...
Result: Instead of following what I was doing and enjoying, I stopped doing anything. Instead of getting 80% of the results, I now get 0%!
This Is A Blog About Programming, Right?
Yes, absolutely. Now let me tie it back to programming.
TDD, BDD, refactoring, SOLID, performance, method to line ration, line per class ratio, test coverage, newest trends, etc. etc. etc. Sounds familiar? Do you get it now? No?

That was the point of the whole post.
Let me try again: There are a lot of buzzwords and other things to follow, which can choke a beginner. A beginner should be doing. (Careful: Controversial statement following!) If it isn't perfect, who cares? It is more important to do than to do it perfectly!
Experts Are Nice, But...
I know the experts just mean well. But a beginner or intermediate can't possibly follow all advice! It will confuse her or him more than actually following through with it!
So don't blindly follow experts advice, just keep being awesome and improving along the way!
Don't get bogged down, don't try to do it all perfectly from the beginning. Add stuff slowly and concentrate on the basics. Because like in Starcraft II and in fitness, it is better to do the basics right than butchering all the experts advice.
Did you fall into this trap yet? Share your (horror?) stories!
If you liked this post, you should consider hiring me freelance, part-time or full-time!


--- layout: post date: 2009-10-30 time: "09:00:00" authors: ["Greg Wilson"] title: By Popular Request... tags: ["Content"] ---
...I have added a lecture on high performance computing to the revised outline for the course. Several people suggested it, and what's the point of asking for feedback if I don't listen?


Synthetic feasibility is a problem when running large scale enumerations. Ofen molecules that are enumerated are very difficult to make and thus not worth inspection even if their other chemical properties are good in silico. This tutorial goes through how to train the ScScore model.
The idea of the model is you train on pairs of molecules where one molecule is “more complex” than the other. The nueral network then can make scores which attempt to keep this pairwise ordering of molecules. The final result is a model which can give a relative complexity of a molecule.
The paper trains on every reaction in reaxys, declaring products more complex than reactions. Since this training set is prohibitively expensive we will instead train on arbitrary molecules declaring one more complex if it’s SMILES string is longer. In the real world you can use whatever measure of complexity makes sense for the project.
# Lets get some molecules to play with
from deepchem.molnet.load_function import tox21_datasets
tasks, datasets, transformers = tox21_datasets.load_tox21(featurizer='Raw', split=None, reload=False)
molecules = datasets[0].X
/home/leswing/miniconda3/envs/deepchem/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type. from ._conv import register_converters as _register_converters /home/leswing/Documents/deepchem/deepchem/models/tensorgraph/models/graph_models.py:1159: FutureWarning: GraphConvTensorGraph is deprecated and has been renamed to GraphConvModel and will be removed in DeepChem 3.0. FutureWarning) /home/leswing/Documents/deepchem/deepchem/models/tensorgraph/models/graph_models.py:1170: FutureWarning: WeaveTensorGraph is deprecated and has been renamed to WeaveModel and will be removed in DeepChem 3.0. FutureWarning)
Loading raw samples now.
shard_size: 8192
About to start loading CSV from /tmp/tox21.csv.gz
Loading shard 1 of size 8192.
Featurizing sample 0
Featurizing sample 1000
Featurizing sample 2000
Featurizing sample 3000
Featurizing sample 4000
Featurizing sample 5000
Featurizing sample 6000
Featurizing sample 7000
TIMING: featurizing shard 0 took 2.963 s
TIMING: dataset construction took 3.435 s
Loading dataset from disk.
TIMING: dataset construction took 0.616 s
Loading dataset from disk.
Because ScScore is trained on relative complexities we have our X tensor in our dataset has 3 dimensions (sample_id, molecule_id, features). the 1st dimension molecule_id is in [0, 1], because a sample is a pair of molecules. The label is 1 if the zeroth molecule is more complex than the first molecule
In the real world you could use purchase cost, or number of reaction steps required as your complexity score.
from rdkit import Chem
import random
from deepchem.feat import CircularFingerprint
import deepchem as dc
import numpy as np
def create_dataset(fingerprints, smiles_lens, ds_size=100000):
"""
m1: list of np.Array
fingerprints for molecules
m2: list of int
length of a molecules SMILES string
returns:
dc.data.Dataset for input into ScScore Model
Dataset.X
shape is (sample_id, molecule_id, features)
Dataset.y
shape is (sample_id,)
values is 1 if the 0th index molecule is more complex
0 if the 1st index molecule is more complex
"""
X, y = [], []
all_data = list(zip(fingerprints, smiles_lens))
while len(y) < ds_size:
i1 = random.randrange(0, len(smiles_lens))
i2 = random.randrange(0, len(smiles_lens))
m1 = all_data[i1]
m2 = all_data[i2]
if m1[1] == m2[1]:
continue
if m1[1] > m2[1]:
y.append(1.0)
else:
y.append(0.0)
X.append([m1[0], m2[0]])
return dc.data.NumpyDataset(np.array(X), np.expand_dims(np.array(y), axis=1))
# Lets split our dataset into a train set and a test set
molecule_ds = dc.data.NumpyDataset(np.array(molecules))
splitter = dc.splits.RandomSplitter()
train_mols, test_mols = splitter.train_test_split(molecule_ds)
# In the paper they used 1024 bit fingerprints with chirality
n_features=1024
featurizer = dc.feat.CircularFingerprint(size=n_features, radius=2, chiral=True)
train_features = featurizer.featurize(train_mols.X)
train_smileslen = [len(Chem.MolToSmiles(x)) for x in train_mols.X]
train_dataset = create_dataset(train_features, train_smileslen)
from deepchem.models import ScScoreModel
# Now to create the model and train it
model = ScScoreModel(n_features=n_features)
model.fit(train_dataset, nb_epoch=20)
8.357791900634766
Lets evaluate how well the model does on our holdout molecules. The SaScores should track the length of SMILES strings from never before seen molecules.
import matplotlib.pyplot as plt
%matplotlib inline
mol_scores = model.predict_mols(test_mols.X)
smiles_lengths = [len(Chem.MolToSmiles(x)) for x in test_mols.X]
plt.figure(figsize=(20,16))
plt.scatter(smiles_lengths, mol_scores)
plt.xlim(0,80)
plt.xlabel("SMILES length")
plt.ylabel("ScScore")
plt.show()
As we can see the model generally tracks SMILES length. It has good enrichment between 8 and 30 characters and gets both small and large SMILES strings extremes dead on.
Now you can train your own models on more meaningful metrics than SMILES length!


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---
title: "Web Design"
layout: "default"
isPage: true
lang: en-gb
langs:
cy: dylunio
---
We create user-friendly, engaging web sites and services for business enterprises
of any size, start-ups, organisations, local authorities, individuals, groups and
funded projects.
- Original graphic design for your brand or image
- Integrated brand development with stationery, business cards etc
- Reliable technology and standards, e.g. HTML5, CSS, JavaScript/JQuery, PHP, Java
- Original, up-to-date content, editing & web site management
- Training for staff to use content management systems
- WordPress, Joomla! and Drupal sites, template design & customization
- Integration with social media and online marketing strategy
- Search engine optimisation so that you get better search rankings
- Full Welsh translation services for all sites based in Wales
Stay current! Good web sites use an integrated online marketing and communication
strategy. We make sure that your message is always up to date while you focus on
doing what you do best.
We sort out all of your needs on the Web. Please
contact us to
discuss what you need.


This tab page consists of the common Section Location controls and the following editing facilities for the Master section:
Click on the text box to enter or change the scenario title. Once a title is defined it is also shown in the title bar of Hexkit Editor.
This read-only text box shows the current rule script path, relative to the Scenario\Rules
subdirectory of your Hexit directory. The default is a pre-defined file called Default Rules.cs
which contains placeholder C# source code.
1. You cannot display, create, edit, or compile rules script files from within Hexkit Editor. You can use Notepad for editing source code but a dedicated programmer’s editor is recommended.
2. The rule script may be supplied in source code format. In this case, the entire script must be contained in a single source file, written either in C#, JScript .NET, or Visual Basic .NET. The source code will be compiled by Hexkit Game as the scenario is loaded.
3. Alternatively, the rule script may be supplied as a DLL file containing a precompiled .NET assembly. This allows you to use arbitrary .NET languages and distribute the source code over multiple source files.
This box shows the currently defined locations of the five subsections, which is either a section file path or “(inline)” if the subsection data is placed within the Master section file. Use the corresponding tab page to change subsection locations.
Click this button to display the Scenario Information dialog, allowing you to edit various informational text associated with the scenario.


Hi! I’m Benjamin, a student from Singapore.
I write code every once in a while, usually doing stuff about the Web. If you’re interested in technical stuff, you might want to check out my blog.


Portugal through, England and France impress
by , UEFA.comCristiano Ronaldo's 99th Portugal goal sealed the holders' finals spot as England and France ended with wins.
- Holders Portugal book their finals place
- England, France, Turkey end on winning note
- Matches; standings; play-offs as they stand
- Play-off simulator: who could be involved?
- 22 November: play-off draw ; 30 November: finals draw
Group A
Kosovo 0-4 England
Already-qualified England struck three late goals as they ended their UEFA EURO 2020 campaign with another emphatic win in Pristina. Harry Winks' neat first-half finish set the Three Lions on their way, but the game was still in the balance 11 minutes from time when Harry Kane scored a record-equalling 12th England goal of 2019. Substitutes Marcus Rashford and Mason Mount added to the tally in the closing minutes.
Bulgaria 1-0 Czech Republic
Vasil Bozhikov met Kiril Despodov's terrific free-kick with an emphatic header shortly after half-time as Bulgaria sealed their only win of the group stage. Already through to the finals, the Czech Republic were dominant throughout, only to run aground against a home side set up to counter. Indeed, although plenty of chances came Tomáš Souček's way and Martin Doležal had a golden opportunity late on, Bulgaria stood firm.
Group B
Luxembourg 0-2 Portugal
Cristiano Ronaldo's 99th international goal finished off Luxembourg and secured the holders' UEFA EURO 2020 spot. Luxemburg put in an impressive display, stifling Portugal's rhythm and threatening on the counter, but the turning point came just before the interval. In a change of tack and against the run of play, Bruno Fernandes finished magnificently from Bernardo Silva's direct, lofted ball over the top. Ronaldo tapped in late on to seal the win.
Serbia 2-2 Ukraine
Ukraine snatched a dramatic late draw through Artem Besedin's added-time strike to finish Group B unbeaten, and end Serbia's faint hopes of automatic qualification. The hosts twice took the lead through Dušan Tadić's early penalty and Aleksandar Mitrović's neat finish just after the break, either side of Roman Yaremchuk's header.
Group H
Albania 0-2 France
Antoine Griezmann ensured France finish top of Group H with a classy forward display in Tirana. The Barcelona star created the first and scored the second, both in the first half, with Olivier Giroud prevented from adding further goals by goalkeeper Etrit Berisha and the woodwork.
Moldova 1-2 Iceland
The first of Iceland's two superb team efforts culminated in the 17th minute when Birkir Bjarnason drilled in from Mikael Anderson's neat through ball. After Nicolae Milinceanu levelled, Gylfi Sigurdsson restored Iceland's advantage. His opportunity to put the game to bed from the spot late on was denied by Alexei Koşelev.
Andorra 0-2 Turkey
Two first-half goals from Enes Ünal ensured that Turkey ended their campaign with a comfortable victory. Making eight changes to the side that secured qualification on Saturday, the visitors were always in command. Enes Ünal tapped in after Ömer Bayram's cross-shot was saved before netting a penalty when he was fouled by goalkeeper Josep Gomes.


YOUS FOR THE FINDING
Cosmetic industry is a community for people who like to find things.Come explore, share, and find your next item with us!


CGI versions of Elvis Presley and Paul Newman almost joined James Dean in ‘Finding Jack’
The new Vietnam War film could've looked very different
CGI versions of Elvis Presley and Paul Newman were originally set to join James Dean in upcoming film Finding Jack.
The upcoming movie, based on the Vietnam War, sees a CGI version of Dean in the starring role.
The film was announced earlier this month, set to feature a “full-body” CGI version of Dean, and it now transpires that he almost had some very famous co-stars.
The Hollywood Reporter states that the original plan was to feature a CGI version of Elvis as an Army unit leader, but his estate rejected the plan.
The lead role, a soldier called Fletcher, was almost also a CGI character, used to cast a “young Paul Newman.”
“We don’t want this to become a spectacle — more than it already is,” filmmaker Anton Ernst says, before calling the huge reactions to the announcement of the CGI James Dean as “nuts, just nuts.”
James Dean
Speaking of the casting of Dean, Ernst said: “We searched high and low for the perfect character to portray the role of Rogan, which has some extreme complex character arcs, and after months of research, we decided on James Dean.”
“We feel very honoured that his family supports us and will take every precaution to ensure that his legacy as one of the most epic film stars to date is kept firmly intact. The family views this as his fourth movie, a movie he never got to make. We do not intend to let his fans down.”
Mark Roesler, who represents James Dean’s family, also spoke of the possibility of more late stars returning to the movies in CGI form. “This opens up a whole new opportunity for many of our clients who are no longer with us.”


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ALLIE GRAMPA
Allie is originally from Cleveland, Ohio. By default, she is a Browns fan, which is a tough life to lead but she does it with passion. She started learning the basics of coding while working for a wedding website called Joy and that sparked her interest in computer programming and led her to Code Fellows! Since moving to Seattle, she has spent a lot of time hiking and snowboarding. She is always on the hunt for the perfect sushi, perfect pizza, and perfect chocolate chip cookie. One of her favorite Seattle activities is walking around Pike Place Market while eating mini maple bacon donuts from Daily Dozen.
<EMAIL_ADDRESS>https://github.com/agrampa
LOGAN ABSHER
The things I really enjoy in life are cats videos, cats, video games, swimming, cooking, and spending time with my friends and girlfriend. I started coding about a year ago using java in my CSC 142 and 143 classes, I decided I really liked coding, but I wasn’t really sure where to go from there because college is really expensive and I felt I was learning a lot of useless information. I went into my brother’s workplace and met a few of his coworkers, who are Code Fellows alumni. I talked with them and they highly recommended this bootcamp.
<EMAIL_ADDRESS>https://github.com/loganabsher
LUIS MANZO
After graduating high school in Los Angeles, CA, Luis joined the Air Force where he worked as a meteorologist. He became fascinated with meteorological models and the technology involved. Seeing this interest, his supervisor suggested he take over the technical aspects of his squadron and from then on, his main interest has been coding. He also likes table tennis, golden retrievers and studying ancient languages.
<EMAIL_ADDRESS>https://github.com/ctcrnitv
DAVID TEDDY
The reason I started looking into coding is I knew I wanted to to upgrade my life and do something I really enjoyed. I knew that I was not doing well as a mechanic and I hated always being disgusting and going home after work bruised and battered. I was told by my fiance's dad about Code Fellows and I am so glad and excited to be able to do this. I am a passionate reader with no care which type as long as it keeps my attention. I enjoy playing a well thought out video game and love to read and watch videos that coincide with said video game. While in the military I was enjoying the life of adventure but was cut short by Crohn’s Disease and was medically retired. I miss the camaraderie and brotherhood that came along with the military and heard that it was the same in the coding world.
<EMAIL_ADDRESS>https://github.com/tedsters
Sources/things we stole:
Web pages:
http://www167.lunapic.com/
https://thepiratebay.org/
http://www.avatarsinpixels.com/
Music:
game music: FTL-Soundtrack
boss fight: Xythe
credits song: Ludovico Einaudi-Nouvelle Blanche


Copyright (c) 2000 Jonathan A. Leistiko
This game is played on a 8x8 square board, with the following setup:
|
| An example If Green (KiKi) moves a2 to cell [1], Black must capture it with c4:b3. Then White wins the game by capturing the 3 remaining stones. |
This game is based on the Pete Abrams' Sluggy Freelance cartoon. Check this webpage to read more.


| ID | Name | Job Title |
|---|---|---|
| 1 | Normal | Data 1.3 |
| 2 | Normal (alt) | Data 2.3 |
| 3 | Hover | Data 3.3 |
| 4 | Hover (alt) | Data 4.3 |
| 5 | Focus (alt) | Data 5.3 |
| 6 | Focus (even) | Data 6.3 |
| 7 | Selected | Data 7.3 |
| 8 | Selected (alt) | Data 8.3 |
| 9 | Focus selected | Data 9.3 |
| 10 | Focus selected (alt) | Data 10.3 |


Preparing to stain concrete in family room + utility room. Exciting but frightening at the same time.
2/16/2008, 8:22:43 AM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Preparing to stain concrete in family room + utility room. Exciting but frightening at the same time.
2/16/2008, 8:22:43 AM
Favs: 0
Retweets: 0
link


The group was established to encourage schools to reduce the burden of data collection, building on the work of the Commission on Assessment Without Levels.
The group:
Reducing teacher workload: Data Management Review Group report
Data Management Review Group: terms of reference ( PDF , 104KB , 3 pages )
The group met 6 times.
December 2015 ( PDF , 110KB , 2 pages )
| Lauren Costello (Chair) | Managing Director, The White Horse Federation |
| Deborah Ajose | Headteacher, Baylis Court Secondary School |
| Duncan Baldwin | Deputy Director of Policy, Association of School and College Leaders (ASCL) |
| Edison David | Headteacher, Vauxhall Primary School |
| Rich Davies | Head of Data, Ark schools |
| Sean Harford | HMI, National Director, Ofsted |
| Anna Jones | Year 6 teacher, South Farnham School |
| Ken Jones | Senior Policy Officer, Curriculum and Assessment, National Union of Teachers (NUT) |
| Chris Martin | Deputy Headteacher, Mountbatten Secondary School |
| Philip Rimmer | Director of Education, Rowan Learning Trust |
| Melanie Shute | Year 6 teacher, Histon and Impington Junior School |
| Rachel Skentelbery | Head of Statistical Quality and Methodology, Ofsted |
| Matthew Stevenson | Assistant Headteacher, Henbury Secondary School |
| Sarah Thompson | Principal, South Axholme Secondary School |
The group will also call on the views of Daisy Christodoulou, Research and Development Manager at the charity Ark, to maintain links with the Commission on Assessment Without Levels .


As you've probably spotted I'm designing & building this site "live" and iteratively.
Im the true sprit of Agile, I believe that coding in the open promotes sharing, enables better and faster feedback and provides a great opportunity for learning.
Because of this things will inevitably change and possibly break but that's more than ok, you can email me to let me know if you spot anything.
In the meantime feel free to browse the source code and commit history, and if you like raise an issue!
© {{ now.Year }} {{ .Site.Params.Author }} - All rights reserved.