--- layout: post status: publish published: true title: RIP Mr. Cub - Episode 6.55 author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 10889 wordpress_url: http://ivyenvy.com/?p=10889 date: '2015-01-25 22:11:13 +0000' date_gmt: '2015-01-26 04:11:13 +0000' categories: - Uncategorized tags: - Ernie Banks - Javier Baez - Mr. Cub - Luis Valbuena - Dan Straily - Dexter Fowler comments: - id: 16829 author: Hoak Hogan author_email: '' author_url: '' date: '2015-01-26 08:54:46 +0000' date_gmt: '2015-01-26 14:54:46 +0000' content: Bruther, if the Hoakster was taking that bus trip, you'd know about the WWF. ---
The Cubs lost a legend this week with the passing of Mr. Cub, Ernie Banks. On this, the 292nd episode of The Ivy Envy Podcast, we talk about Ernie's on-the-field accomplishments and what he meant to Cubs fans after his retirement.
This week, the Cubs traded Luis Valbuena and Dan Straily for Dexter Fowler. We talk about how our opinions of Valbuena changed over the last few years and what the trade means for the outfield and infield for the 2015 Cubs.
We check back in on Javier Baez, who is playing winter ball in Puerto Rico. Baez has not figured out his strikeout issue and his spot on the opening day roster seems to be in question.
We answer several listener questions and read some internet muscle flexes.
If you have not yet nominated Ivy Envy in the sports category of the 10th Annual Podcast Awards, you can do that here - PodcastAwards.com
Check out our Patreon campaign here - Patreon.com/IvyEnvy


Course 1
Lecture 1: Inheritance
Posted on 10/10/20
Lecture 2: Polymorphism
Posted on 10/17/20
Lecture 3: Aggregation
Posted on 10/24/20
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DABARE - DAtenBAnkbasiertes ReEngeneering
The aim was to offer the possibility of re-use of big software systems. This contain the re-use of single modules or functional partial components as well as the data base. Building up on the successful identification of components as well as the linked data from software systems the development of new or modified systems is possible. This is reached due to the integration of modern components which causes changes of the functionality of single modules and the migration of the relational data bases. In addition, new developed technologies should simplify the optimisation of old software systems.
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About
We're just a bunch of rotten animals, dreaming of the pure vegetable kingdom.

A: o just whichever animals we want to be.
sometimes we have feathers and sometimes we
have scales, but we always have fangs.
Q: are you wild animals?
A: o yes very.
Q: do rotten animals eat ______?

Q: do people *really* ask these questions frequently?
A: no, no one ever asks us questions


|
BitShares-Core
6.1.0
BitShares blockchain implementation and command-line interface software
|
modified spin-lock that yields on failure, but becomes a 'spin lock' if there are no other tasks to yield to. More...
#include <spin_yield_lock.hpp>
Public Member Functions | |
| spin_yield_lock () | |
| bool | try_lock () |
| bool | try_lock_for (const microseconds &rel_time) |
| bool | try_lock_until (const time_point &abs_time) |
| void | lock () |
| void | unlock () |
modified spin-lock that yields on failure, but becomes a 'spin lock' if there are no other tasks to yield to.
This kind of lock is lighter weight than a full mutex, but potentially slower than a staight spin_lock.
This spin_yield_lock does not block the current thread, but instead attempts to use an atomic operation to aquire the lock. If unsuccessful, then it yields to other tasks before trying again. If there are no other tasks then yield is a no-op and spin_yield_lock becomes a spin-lock.
Definition at line 20 of file spin_yield_lock.hpp.
| fc::spin_yield_lock::spin_yield_lock | ( | ) |
Definition at line 12 of file spin_yield_lock.cpp.
| void fc::spin_yield_lock::lock | ( | ) |
Definition at line 38 of file spin_yield_lock.cpp.
| bool fc::spin_yield_lock::try_lock | ( | ) |
Definition at line 20 of file spin_yield_lock.cpp.
| bool fc::spin_yield_lock::try_lock_for | ( | const microseconds & | rel_time | ) |
Definition at line 25 of file spin_yield_lock.cpp.
| bool fc::spin_yield_lock::try_lock_until | ( | const time_point & | abs_time | ) |
Definition at line 29 of file spin_yield_lock.cpp.
| void fc::spin_yield_lock::unlock | ( | ) |
Definition at line 45 of file spin_yield_lock.cpp.


Have a question about the Denver Nuggets or the NBA? Chris Dempsey has some answers. Throughout the NBA season, The Denver Post's Nuggets writer fields the most engaging, the most insightful and the most entertaining questions in his very own Nuggets Mailbag. Submit yours below.


Micheal Jordan in one of the games
Micheal Jordan is rated as one of the best players in the realm of basketball. He has not had any challenger in a long while.


Operation
Represents a graph node that performs computation on tensors.
tf.compat.v1.Operation
tf.compat.v2.Operation
An Operation
is a node in a TensorFlow Graph
that takes zero or
more Tensor
objects as input, and produces zero or more Tensor
objects as output. Objects of type Operation
are created by
calling a Python op constructor (such as
tf.matmul
)
or tf.Graph.create_op
.
For example c = tf.matmul(a, b)
creates an Operation
of type
"MatMul" that takes tensors a
and b
as input, and produces c
as output.
After the graph has been launched in a session, an Operation
can
be executed by passing it to
tf.Session.run
.
op.run()
is a shortcut for calling
tf.compat.v1.get_default_session().run(op)
.
__init__
__init__( node_def, g, inputs=None, output_types=None, control_inputs=None, input_types=None, original_op=None, op_def=None )
Creates an Operation
.
NOTE: This constructor validates the name of the Operation
(passed
as node_def.name
). Valid Operation
names match the following
regular expression:
[A-Za-z0-9.][A-Za-z0-9_.\\-/]*
node_def
: node_def_pb2.NodeDef
. NodeDef
for the Operation
. Used for
attributes of node_def_pb2.NodeDef
, typically name
, op
, and
device
. The input
attribute is irrelevant here as it will be
computed when generating the model.g
: Graph
. The parent graph.inputs
: list of Tensor
objects. The inputs to this Operation
.output_types
: list of DType
objects. List of the types of the Tensors
computed by this operation. The length of this list indicates the
number of output endpoints of the Operation
.control_inputs
: list of operations or tensors from which to have a control
dependency.input_types
: List of DType
objects representing the types of the tensors
accepted by the Operation
. By default uses [x.dtype.base_dtype for x
in inputs]
. Operations that expect reference-typed inputs must specify
these explicitly.original_op
: Optional. Used to associate the new Operation
with an
existing Operation
(for example, a replica with the op that was
replicated).op_def
: Optional. The op_def_pb2.OpDef
proto that describes the op type
that this Operation
represents.TypeError
: if control inputs are not Operations or Tensors,
or if node_def
is not a NodeDef
,
or if g
is not a Graph
,
or if inputs
are not tensors,
or if inputs
and input_types
are incompatible.ValueError
: if the node_def
name is not valid.control_inputs
The Operation
objects on which this op has a control dependency.
Before this op is executed, TensorFlow will ensure that the
operations in self.control_inputs
have finished executing. This
mechanism can be used to run ops sequentially for performance
reasons, or to ensure that the side effects of an op are observed
in the correct order.
A list of Operation
objects.
device
The name of the device to which this op has been assigned, if any.
The string name of the device to which this op has been assigned, or an empty string if it has not been assigned to a device.
graph
The Graph
that contains this operation.
inputs
The list of Tensor
objects representing the data inputs of this op.
name
The full name of this operation.
node_def
Returns the NodeDef
representation of this operation.
A
NodeDef
protocol buffer.
op_def
Returns the OpDef
proto that represents the type of this op.
An
OpDef
protocol buffer.
outputs
The list of Tensor
objects representing the outputs of this op.
traceback
Returns the call stack from when this operation was constructed.
traceback_with_start_lines
Same as traceback but includes start line of function definition.
A list of 5-tuples (filename, lineno, name, code, func_start_lineno).
type
The type of the op (e.g. "MatMul"
).
colocation_groups
colocation_groups()
Returns the list of colocation groups of the op.
get_attr
get_attr(name)
Returns the value of the attr of this op with the given name
.
name
: The name of the attr to fetch.The value of the attr, as a Python object.
ValueError
: If this op does not have an attr with the given name
.run
run( feed_dict=None, session=None )
Runs this operation in a Session
.
Calling this method will execute all preceding operations that produce the inputs needed for this operation.
N.B. Before invoking Operation.run()
, its graph must have been
launched in a session, and either a default session must be
available, or session
must be specified explicitly.
feed_dict
: A dictionary that maps Tensor
objects to feed values. See
tf.Session.run
for a description of the valid feed values.session
: (Optional.) The Session
to be used to run to this operation. If
none, the default session will be used.values
values()
DEPRECATED: Use outputs.


|
Halide
12.0.0
|
A struct representing a target machine and os to generate code for. More...
#include <Target.h>
Public Types | |
| enum | OS { OSUnknown = 0 , Linux , Windows , OSX , Android , IOS , QuRT , NoOS , Fuchsia , WebAssemblyRuntime } |
| The operating system used by the target. More... | |
| enum | Arch { ArchUnknown = 0 , X86 , ARM , MIPS , Hexagon , POWERPC , WebAssembly , RISCV } |
| The architecture used by the target. More... | |
| enum | Feature { JIT = halide_target_feature_jit , Debug = halide_target_feature_debug , NoAsserts = halide_target_feature_no_asserts , NoBoundsQuery = halide_target_feature_no_bounds_query , SSE41 = halide_target_feature_sse41 , AVX = halide_target_feature_avx , AVX2 = halide_target_feature_avx2 , FMA = halide_target_feature_fma , FMA4 = halide_target_feature_fma4 , F16C = halide_target_feature_f16c , ARMv7s = halide_target_feature_armv7s , NoNEON = halide_target_feature_no_neon , VSX = halide_target_feature_vsx , POWER_ARCH_2_07 = halide_target_feature_power_arch_2_07 , CUDA = halide_target_feature_cuda , CUDACapability30 = halide_target_feature_cuda_capability30 , CUDACapability32 = halide_target_feature_cuda_capability32 , CUDACapability35 = halide_target_feature_cuda_capability35 , CUDACapability50 = halide_target_feature_cuda_capability50 , CUDACapability61 = halide_target_feature_cuda_capability61 , CUDACapability70 = halide_target_feature_cuda_capability70 , CUDACapability75 = halide_target_feature_cuda_capability75 , CUDACapability80 = halide_target_feature_cuda_capability80 , OpenCL = halide_target_feature_opencl , CLDoubles = halide_target_feature_cl_doubles , CLHalf = halide_target_feature_cl_half , CLAtomics64 = halide_target_feature_cl_atomic64 , OpenGLCompute = halide_target_feature_openglcompute , EGL = halide_target_feature_egl , UserContext = halide_target_feature_user_context , Matlab = halide_target_feature_matlab , Profile = halide_target_feature_profile , NoRuntime = halide_target_feature_no_runtime , Metal = halide_target_feature_metal , CPlusPlusMangling = halide_target_feature_c_plus_plus_mangling , LargeBuffers = halide_target_feature_large_buffers , HexagonDma = halide_target_feature_hexagon_dma , HVX_128 = halide_target_feature_hvx_128 , HVX = HVX_128 , HVX_v62 = halide_target_feature_hvx_v62 , HVX_v65 = halide_target_feature_hvx_v65 , HVX_v66 = halide_target_feature_hvx_v66 , HVX_shared_object = halide_target_feature_hvx_use_shared_object , FuzzFloatStores = halide_target_feature_fuzz_float_stores , SoftFloatABI = halide_target_feature_soft_float_abi , MSAN = halide_target_feature_msan , AVX512 = halide_target_feature_avx512 , AVX512_KNL = halide_target_feature_avx512_knl , AVX512_Skylake = halide_target_feature_avx512_skylake , AVX512_Cannonlake = halide_target_feature_avx512_cannonlake , AVX512_SapphireRapids = halide_target_feature_avx512_sapphirerapids , TraceLoads = halide_target_feature_trace_loads , TraceStores = halide_target_feature_trace_stores , TraceRealizations = halide_target_feature_trace_realizations , TracePipeline = halide_target_feature_trace_pipeline , D3D12Compute = halide_target_feature_d3d12compute , StrictFloat = halide_target_feature_strict_float , TSAN = halide_target_feature_tsan , ASAN = halide_target_feature_asan , CheckUnsafePromises = halide_target_feature_check_unsafe_promises , EmbedBitcode = halide_target_feature_embed_bitcode , EnableLLVMLoopOpt = halide_target_feature_enable_llvm_loop_opt , DisableLLVMLoopOpt = halide_target_feature_disable_llvm_loop_opt , WasmSimd128 = halide_target_feature_wasm_simd128 , WasmSignExt = halide_target_feature_wasm_signext , WasmSatFloatToInt = halide_target_feature_wasm_sat_float_to_int , WasmThreads = halide_target_feature_wasm_threads , WasmBulkMemory = halide_target_feature_wasm_bulk_memory , SVE = halide_target_feature_sve , SVE2 = halide_target_feature_sve2 , ARMDotProd = halide_target_feature_arm_dot_prod , LLVMLargeCodeModel = halide_llvm_large_code_model , RVV = halide_target_feature_rvv , FeatureEnd = halide_target_feature_end } |
| Optional features a target can have. More... | |
Public Member Functions | |
| Target ()=default | |
| Target (OS o, Arch a, int b, const std::vector< Feature > &initial_features=std::vector< Feature >()) | |
| Target (const std::string &s) | |
| Given a string of the form used in HL_TARGET (e.g. More... | |
| Target (const char *s) | |
| bool | has_unknowns () const |
| Return true if any of the arch/bits/os fields are "unknown"/0; return false otherwise. More... | |
| void | set_feature (Feature f, bool value=true) |
| void | set_features (const std::vector< Feature > &features_to_set, bool value=true) |
| bool | has_feature (Feature f) const |
| bool | has_feature (halide_target_feature_t f) const |
| bool | features_any_of (const std::vector< Feature > &test_features) const |
| bool | features_all_of (const std::vector< Feature > &test_features) const |
| Target | with_feature (Feature f) const |
| Return a copy of the target with the given feature set. More... | |
| Target | without_feature (Feature f) const |
| Return a copy of the target with the given feature cleared. More... | |
| bool | has_gpu_feature () const |
| Is a fully feature GPU compute runtime enabled? I.e. More... | |
| bool | supports_type (const Type &t) const |
| Does this target allow using a certain type. More... | |
| bool | supports_type (const Type &t, DeviceAPI device) const |
| Does this target allow using a certain type on a certain device. More... | |
| bool | supports_device_api (DeviceAPI api) const |
| Returns whether a particular device API can be used with this Target. More... | |
| DeviceAPI | get_required_device_api () const |
| If this Target (including all Features) requires a specific DeviceAPI, return it. More... | |
| bool | operator== (const Target &other) const |
| bool | operator!= (const Target &other) const |
| bool | get_runtime_compatible_target (const Target &other, Target &result) |
Create a "greatest common denominator" runtime target that is compatible with both this target and other . More... | |
| std::string | to_string () const |
| Convert the Target into a string form that can be reconstituted by merge_string(), which will always be of the form. More... | |
| int | natural_vector_size (const Halide::Type &t) const |
| Given a data type, return an estimate of the "natural" vector size for that data type when compiling for this Target. More... | |
| template<typename data_t > | |
| int | natural_vector_size () const |
| Given a data type, return an estimate of the "natural" vector size for that data type when compiling for this Target. More... | |
| bool | has_large_buffers () const |
| Return true iff 64 bits and has_feature(LargeBuffers). More... | |
| int64_t | maximum_buffer_size () const |
| Return the maximum buffer size in bytes supported on this Target. More... | |
| int | get_cuda_capability_lower_bound () const |
| Get the minimum cuda capability found as an integer. More... | |
| bool | supported () const |
| Was libHalide compiled with support for this target? More... | |
| const std::bitset< FeatureEnd > & | get_features_bitset () const |
| Return a bitset of the Featuress set in this Target (set = 1). More... | |
Static Public Member Functions | |
| static bool | validate_target_string (const std::string &s) |
| Check if a target string is valid. More... | |
| static std::string | feature_to_name (Target::Feature feature) |
| Return the name corresponding to a given Feature, in the form used to construct Target strings (e.g., Feature::Debug is "debug" and not "Debug"). More... | |
| static Target::Feature | feature_from_name (const std::string &name) |
| Return the feature corresponding to a given name, in the form used to construct Target strings (e.g., Feature::Debug is "debug" and not "Debug"). More... | |
Public Attributes | |
| enum Halide::Target::OS | os = OSUnknown |
| enum Halide::Target::Arch | arch = ArchUnknown |
| int | bits = 0 |
| The bit-width of the target machine. More... | |
A struct representing a target machine and os to generate code for.
| enum Halide::Target::OS |
| enum Halide::Target::Arch |
Optional features a target can have.
Corresponds to feature_name_map in Target.cpp. See definitions in HalideRuntime.h for full information.
|
default |
|
inline |
Definition at line 134 of file Target.h.
References set_feature().
|
explicit |
Given a string of the form used in HL_TARGET (e.g.
"x86-64-avx"), construct the Target it specifies. Note that this always starts with the result of get_host_target(), replacing only the parts found in the target string, so if you omit (say) an OS specification, the host OS will be used instead. An empty string is exactly equivalent to get_host_target().
Invalid target strings will fail with a user_error.
|
explicit |
|
static |
Check if a target string is valid.
| bool Halide::Target::has_unknowns | ( | ) | const |
Return true if any of the arch/bits/os fields are "unknown"/0; return false otherwise.
| void Halide::Target::set_features | ( | const std::vector< Feature > & | features_to_set, |
| bool | value = true |
||
| ) |
| bool Halide::Target::has_feature | ( | Feature | f | ) | const |
|
inline |
Definition at line 169 of file Target.h.
References has_feature().
| bool Halide::Target::features_any_of | ( | const std::vector< Feature > & | test_features | ) | const |
| bool Halide::Target::features_all_of | ( | const std::vector< Feature > & | test_features | ) | const |
Return a copy of the target with the given feature set.
This is convenient when enabling certain features (e.g. NoBoundsQuery) in an initialization list, where the target to be mutated may be a const reference.
Referenced by Halide::SimdOpCheckTest::SimdOpCheckTest().
Return a copy of the target with the given feature cleared.
This is convenient when disabling certain features (e.g. NoBoundsQuery) in an initialization list, where the target to be mutated may be a const reference.
Referenced by Halide::SimdOpCheckTest::check_one().
| bool Halide::Target::has_gpu_feature | ( | ) | const |
Is a fully feature GPU compute runtime enabled? I.e.
is Func::gpu_tile and similar going to work? Currently includes CUDA, OpenCL, Metal and D3D12Compute. We do not include OpenGL, because it is not capable of gpgpu, and is not scheduled via Func::gpu_tile. TODO: Should OpenGLCompute be included here?
Referenced by Halide::Internal::schedule_scalar().
| bool Halide::Target::supports_type | ( | const Type & | t | ) | const |
Does this target allow using a certain type.
Generally all types except 64-bit float and int/uint should be supported by all backends.
It is likely better to call the version below which takes a DeviceAPI.
Does this target allow using a certain type on a certain device.
This is the prefered version of this routine.
| bool Halide::Target::supports_device_api | ( | DeviceAPI | api | ) | const |
Returns whether a particular device API can be used with this Target.
| DeviceAPI Halide::Target::get_required_device_api | ( | ) | const |
If this Target (including all Features) requires a specific DeviceAPI, return it.
If it doesn't, return DeviceAPI::None. If the Target has features with multiple (different) DeviceAPI requirements, the result will be an arbitrary DeviceAPI.
|
inline |
|
inline |
Create a "greatest common denominator" runtime target that is compatible with both this target and other
.
Used by generators to conveniently select a suitable runtime when linking together multiple functions.
| other | The other target from which we compute the gcd target. | |
| [out] | result | The gcd target if we return true, otherwise unmodified. Can be the same as *this. |
| std::string Halide::Target::to_string | ( | ) | const |
Convert the Target into a string form that can be reconstituted by merge_string(), which will always be of the form.
arch-bits-os-feature1-feature2...featureN.
Note that is guaranteed that Target(t1.to_string()) == t1, but not that Target(s).to_string() == s (since there can be multiple strings that parse to the same Target)... unless t1 contains 'unknown' fields (in which case you'll get a string that can't be parsed, which is intentional).
Referenced by Halide::SimdOpCheckTest::compile_and_check().
| int Halide::Target::natural_vector_size | ( | const Halide::Type & | t | ) | const |
Given a data type, return an estimate of the "natural" vector size for that data type when compiling for this Target.
Referenced by Halide::Internal::GeneratorBase::natural_vector_size().
|
inline |
|
inline |
Return true iff 64 bits and has_feature(LargeBuffers).
Definition at line 267 of file Target.h.
References bits, has_feature(), and LargeBuffers.
Referenced by maximum_buffer_size().
|
inline |
Return the maximum buffer size in bytes supported on this Target.
This is 2^31 - 1 except on 64-bit targets when the LargeBuffers feature is enabled, which expands the maximum to 2^63 - 1.
Definition at line 274 of file Target.h.
References has_large_buffers().
| int Halide::Target::get_cuda_capability_lower_bound | ( | ) | const |
Get the minimum cuda capability found as an integer.
Returns 20 (our minimum supported cuda compute capability) if no cuda features are set.
| bool Halide::Target::supported | ( | ) | const |
Was libHalide compiled with support for this target?
|
inline |
|
static |
Return the name corresponding to a given Feature, in the form used to construct Target strings (e.g., Feature::Debug is "debug" and not "Debug").
|
static |
Return the feature corresponding to a given name, in the form used to construct Target strings (e.g., Feature::Debug is "debug" and not "Debug").
If the string is not a known feature name, return FeatureEnd.
| enum Halide::Target::OS Halide::Target::os = OSUnknown |
Referenced by Halide::SimdOpCheckTest::can_run_code(), Halide::ExternalCode::is_for_cpu_target(), and operator==().
| enum Halide::Target::Arch Halide::Target::arch = ArchUnknown |
Referenced by Halide::SimdOpCheckTest::can_run_code(), Halide::ExternalCode::is_for_cpu_target(), and operator==().
| int Halide::Target::bits = 0 |
The bit-width of the target machine.
Must be 0 for unknown, or 32 or 64.
Definition at line 51 of file Target.h.
Referenced by Halide::SimdOpCheckTest::can_run_code(), has_large_buffers(), Halide::ExternalCode::is_for_cpu_target(), and operator==().


It's about the ability to reason and solve problems based on the emotions we experience. In other words, an emotionally intelligent person is aware of emotions in him/herself and others and uses reason to identify, understand, and deal with the emotions effectively.
While E.I. is all about how a person reflects and understand their own and other’s emotions, to differentiate between them, and to use that knowledge to guide your actions and behaviors. I.Q. on the other hand is about brain strength, measuring things like math, logic, and verbal strength. Like any skill, it can be developed with some heavy mental weight lifting
IQ is still recognized as an important element of success, particularly when it comes to academic achievement. People with high IQs typically to do well in school, often earn more money, and tend to be healthier in general. But today experts recognize it is not the only determinate of life success. Instead, it is part of a complex array of influences that includes emotional intelligence among other things.
Research has found that individuals with strong leadership potential also tend to be more emotionally intelligent, suggesting that a high EQ is an important quality for business leaders and managers to have.
Life success is a result of many factors. Both IQ and EQ undoubtedly play roles in influencing your overall success, as well as things such as health, wellness, and happiness. Rather than focusing on which factors might have a more dominant influence, the greatest benefit may lie in learning to improve skills in multiple areas. In addition to strengthening certain cognitive abilities, such as your memory and mental focus, you can also acquire new social and emotional skills that will serve you well in many different areas of your life.


McDonald's cleaners miss man who 'lay dead in a cubicle for more than a day'
An unnamed 48-year-old man reportedly died while in the cubicle of McDonald's in Neu-Anspach, a town in the Hochtaunuskreis in Hesse, Germany and wasn't found for more than 24 hours
by Kathryn QuinnA man reportedly lay dead in a McDonald's toilet for more than a day without anyone noticing despite the facilities being cleaned numerous times.
The unnamed 48-year-old man dropped into the restaurant on his lunch break at around 12pm in Neu-Anspach, a town in the Hochtaunuskreis in Hesse, Germany.
The man was working on servicing the vacuum cleaners at a petrol station opposite the McDonald's branch when he went on a lunch break, according to local media reports,
The following day his boss called the petrol station to ask if they had seen his employee.
The petrol station worker said he had not arrived there, but his car was still parked out front.
The boss then asked workers at the Mcdonald's opposite if they knew where his employee was.
They looked at the fast-food chain's CCTV and confirmed the man entered the eatery to go to the toilet, but had not returned.
The following day at around 9am the petrol station worker went to the McDonald's and called the vacuum service man's number.
The phone could be heard ringing behind the cubicle door, but went unanswered.
Police were called to the scene and an officer reported: "We are not sure exactly how long the man was lying in the cubicle.
"Witnesses are reporting it was quite a long time."
The cause of death is unknown and a post-mortem has been ordered.
A spokesman for the McDonald's chain said: "McDonald's and its franchisers have strict internal and external hygiene regulations and these are often checked.
"The restaurant in question is run by an independent franchiser. He told us that the toilets had been checked as is routine numerous times on the day in question.
"It is often the case that we do not talk to people in cubicles to protect their privacy. We are very sorry to hear about the death in one of our restaurants."
The police investigation is continuing as is standard procedure for unexplained deaths.


Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph Class Reference
#include <distinct.hh>
Detailed Description
template<class View>
class Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph
View-value graph for propagation.
Definition at line 200 of file distinct.hh.
Public Types | |
| typedef Support::SentinelStack < ViewNode< View > * > | MatchStack |
| Stack used during matching. | |
Public Member Functions | |
| ViewValGraph (void) | |
| Construct graph as not yet initialized. | |
| bool | initialized (void) const |
| Test whether graph has been initialized. | |
| ExecStatus | init (Space *home, int n, View *x) |
| Initialize graph. | |
| void | mark (void) |
| Mark edges in graph. | |
| ExecStatus | tell (Space *home, bool &assigned) |
| Prune unmarked edges, assigned is true if a view got assigned. | |
| void | purge (void) |
| Purge graph if necessary. | |
| bool | sync (void) |
| Synchronize graph with new view domains. | |
| bool | match (MatchStack &m, ViewNode< View > *x) |
| Find a matching for node x. | |
Public Attributes | |
| ViewNode< View > ** | view |
| Array of view nodes. | |
| int | n_view |
| Number of view nodes. | |
| ValNode< View > * | val |
| Array of value nodes. | |
| int | n_val |
| Number of value nodes. | |
| unsigned int | count |
| Marking counter. |
Member Typedef Documentation
template<class View>
| typedef Support::SentinelStack<ViewNode<View>*> Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::MatchStack |
Constructor & Destructor Documentation
template<class View>
| Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::ViewValGraph | ( | void | ) | [inline] |
Member Function Documentation
template<class View>
| bool Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::initialized | ( | void | ) | const [inline] |
template<class View>
| ExecStatus Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::init | ( | Space * | home, | |
| int | n, | |||
| View * | x | |||
| ) | [inline] |
template<class View>
| void Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::mark | ( | void | ) | [inline] |
template<class View>
| ExecStatus Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::tell | ( | Space * | home, | |
| bool & | assigned | |||
| ) | [inline] |
template<class View>
| void Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::purge | ( | void | ) | [inline] |
template<class View>
| bool Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::sync | ( | void | ) | [inline] |
template<class View>
| bool Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::match | ( | MatchStack & | m, | |
| ViewNode< View > * | x | |||
| ) | [inline] |
Member Data Documentation
template<class View>
| ViewNode<View>** Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::view |
template<class View>
| int Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::n_view |
template<class View>
| ValNode<View>* Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::val |
template<class View>
| int Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::n_val |
template<class View>
| unsigned int Gecode::Int::Distinct::DomCtrl< View >::ViewValGraph::count |
The documentation for this class was generated from the following files:
- gecode/int/distinct.hh (Revision: 7285)
- gecode/int/distinct/dom.icc (Revision: 7359)