text:
#include "tensorflow/lite/kernels/internal/reference/comparisons.h"

#include "tensorflow/lite/c/common.h"
#include "tensorflow/lite/kernels/internal/quantization_util.h"
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
#include "tensorflow/lite/kernels/kernel_util.h"
#include "tensorflow/lite/micro/kernels/kernel_util.h"
#include "tensorflow/lite/micro/micro_log.h"

namespace tflite {
namespace ops {
namespace micro {
namespace comparisons {
namespace {

struct OpData {
  ComparisonParams params;
};

constexpr int kInputTensor1 = 0;
constexpr int kInputTensor2 = 1;
constexpr int kOutputTensor = 0;

TfLiteStatus EqualEval(TfLiteContext* context, TfLiteNode* node) {
  TFLITE_DCHECK(node->user_data != nullptr);
  const OpData* data = static_cast<const OpData*>(node->user_data);

  const TfLiteEvalTensor* input1 =
      tflite::micro::GetEvalInput(context, node, kInputTensor1);
  const TfLiteEvalTensor* input2 =
      tflite::micro::GetEvalInput(context, node, kInputTensor2);
  TfLiteEvalTensor* output =
      tflite::micro::GetEvalOutput(context, node, kOutputTensor);

  RuntimeShape input1_shape = tflite::micro::GetTensorShape(input1);
  RuntimeShape input2_shape = tflite::micro::GetTensorShape(input2);
  RuntimeShape output_shape = tflite::micro::GetTensorShape(output);
  bool* output_data = tflite::micro::GetTensorData<bool>(output);

  bool requires_broadcast = !tflite::micro::HaveSameShapes(input1, input2);
  switch (input1->type) {
    case kTfLiteBool:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<bool>(input1), input2_shape,
                tflite::micro::GetTensorData<bool>(input2), output_shape,
                output_data)
          : reference_ops::EqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<bool>(input1), input2_shape,
                tflite::micro::GetTensorData<bool>(input2), output_shape,
                output_data);
      break;
    case kTfLiteFloat32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data)
          : reference_ops::EqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data)
          : reference_ops::EqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt64:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data)
          : reference_ops::EqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt8:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowEqualWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data)
          : reference_ops::EqualWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data);
      break;
    default:
      MicroPrintf("Type %s (%d) not supported.",
                  TfLiteTypeGetName(input1->type), input1->type);
      return kTfLiteError;
  }
  return kTfLiteOk;
}

// TODO(renjieliu): Refactor the logic to avoid duplications.
TfLiteStatus NotEqualEval(TfLiteContext* context, TfLiteNode* node) {
  TFLITE_DCHECK(node->user_data != nullptr);
  const OpData* data = static_cast<const OpData*>(node->user_data);

  const TfLiteEvalTensor* input1 =
      tflite::micro::GetEvalInput(context, node, kInputTensor1);
  const TfLiteEvalTensor* input2 =
      tflite::micro::GetEvalInput(context, node, kInputTensor2);
  TfLiteEvalTensor* output =
      tflite::micro::GetEvalOutput(context, node, kOutputTensor);

  RuntimeShape input1_shape = tflite::micro::GetTensorShape(input1);
  RuntimeShape input2_shape = tflite::micro::GetTensorShape(input2);
  RuntimeShape output_shape = tflite::micro::GetTensorShape(output);
  bool* output_data = tflite::micro::GetTensorData<bool>(output);

  bool requires_broadcast = !tflite::micro::HaveSameShapes(input1, input2);
  switch (input1->type) {
    case kTfLiteBool:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowNotEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<bool>(input1), input2_shape,
                tflite::micro::GetTensorData<bool>(input2), output_shape,
                output_data)
          : reference_ops::NotEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<bool>(input1), input2_shape,
                tflite::micro::GetTensorData<bool>(input2), output_shape,
                output_data);
      break;
    case kTfLiteFloat32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowNotEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data)
          : reference_ops::NotEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowNotEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data)
          : reference_ops::NotEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt64:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowNotEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data)
          : reference_ops::NotEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt8:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowNotEqualWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data)
          : reference_ops::NotEqualWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data);
      break;
    default:
      MicroPrintf("Type %s (%d) not supported.",
                  TfLiteTypeGetName(input1->type), input1->type);
      return kTfLiteError;
  }
  return kTfLiteOk;
}

TfLiteStatus GreaterEval(TfLiteContext* context, TfLiteNode* node) {
  TFLITE_DCHECK(node->user_data != nullptr);
  const OpData* data = static_cast<const OpData*>(node->user_data);

  const TfLiteEvalTensor* input1 =
      tflite::micro::GetEvalInput(context, node, kInputTensor1);
  const TfLiteEvalTensor* input2 =
      tflite::micro::GetEvalInput(context, node, kInputTensor2);
  TfLiteEvalTensor* output =
      tflite::micro::GetEvalOutput(context, node, kOutputTensor);

  RuntimeShape input1_shape = tflite::micro::GetTensorShape(input1);
  RuntimeShape input2_shape = tflite::micro::GetTensorShape(input2);
  RuntimeShape output_shape = tflite::micro::GetTensorShape(output);
  bool* output_data = tflite::micro::GetTensorData<bool>(output);

  bool requires_broadcast = !tflite::micro::HaveSameShapes(input1, input2);
  switch (input1->type) {
    case kTfLiteFloat32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowGreaterNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data)
          : reference_ops::GreaterNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowGreaterNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data)
          : reference_ops::GreaterNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt64:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowGreaterNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data)
          : reference_ops::GreaterNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt8:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowGreaterWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data)
          : reference_ops::GreaterWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data);
      break;
    default:
      MicroPrintf("Type %s (%d) not supported.",
                  TfLiteTypeGetName(input1->type), input1->type);
      return kTfLiteError;
  }
  return kTfLiteOk;
}

TfLiteStatus GreaterEqualEval(TfLiteContext* context, TfLiteNode* node) {
  TFLITE_DCHECK(node->user_data != nullptr);
  const OpData* data = static_cast<const OpData*>(node->user_data);

  const TfLiteEvalTensor* input1 =
      tflite::micro::GetEvalInput(context, node, kInputTensor1);
  const TfLiteEvalTensor* input2 =
      tflite::micro::GetEvalInput(context, node, kInputTensor2);
  TfLiteEvalTensor* output =
      tflite::micro::GetEvalOutput(context, node, kOutputTensor);

  RuntimeShape input1_shape = tflite::micro::GetTensorShape(input1);
  RuntimeShape input2_shape = tflite::micro::GetTensorShape(input2);
  RuntimeShape output_shape = tflite::micro::GetTensorShape(output);
  bool* output_data = tflite::micro::GetTensorData<bool>(output);

  bool requires_broadcast = !tflite::micro::HaveSameShapes(input1, input2);
  switch (input1->type) {
    case kTfLiteFloat32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowGreaterEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data)
          : reference_ops::GreaterEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowGreaterEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data)
          : reference_ops::GreaterEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt64:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowGreaterEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data)
          : reference_ops::GreaterEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt8:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowGreaterEqualWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data)
          : reference_ops::GreaterEqualWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data);
      break;
    default:
      MicroPrintf("Type %s (%d) not supported.",
                  TfLiteTypeGetName(input1->type), input1->type);
      return kTfLiteError;
  }
  return kTfLiteOk;
}

TfLiteStatus LessEval(TfLiteContext* context, TfLiteNode* node) {
  TFLITE_DCHECK(node->user_data != nullptr);
  const OpData* data = static_cast<const OpData*>(node->user_data);

  const TfLiteEvalTensor* input1 =
      tflite::micro::GetEvalInput(context, node, kInputTensor1);
  const TfLiteEvalTensor* input2 =
      tflite::micro::GetEvalInput(context, node, kInputTensor2);
  TfLiteEvalTensor* output =
      tflite::micro::GetEvalOutput(context, node, kOutputTensor);

  RuntimeShape input1_shape = tflite::micro::GetTensorShape(input1);
  RuntimeShape input2_shape = tflite::micro::GetTensorShape(input2);
  RuntimeShape output_shape = tflite::micro::GetTensorShape(output);
  bool* output_data = tflite::micro::GetTensorData<bool>(output);

  bool requires_broadcast = !tflite::micro::HaveSameShapes(input1, input2);
  switch (input1->type) {
    case kTfLiteFloat32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowLessNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data)
          : reference_ops::LessNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowLessNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data)
          : reference_ops::LessNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt64:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowLessNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data)
          : reference_ops::LessNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt8:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowLessWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data)
          : reference_ops::LessWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data);
      break;
    default:
      MicroPrintf("Type %s (%d) not supported.",
                  TfLiteTypeGetName(input1->type), input1->type);
      return kTfLiteError;
  }
  return kTfLiteOk;
}

TfLiteStatus LessEqualEval(TfLiteContext* context, TfLiteNode* node) {
  TFLITE_DCHECK(node->user_data != nullptr);
  const OpData* data = static_cast<const OpData*>(node->user_data);

  const TfLiteEvalTensor* input1 =
      tflite::micro::GetEvalInput(context, node, kInputTensor1);
  const TfLiteEvalTensor* input2 =
      tflite::micro::GetEvalInput(context, node, kInputTensor2);
  TfLiteEvalTensor* output =
      tflite::micro::GetEvalOutput(context, node, kOutputTensor);

  RuntimeShape input1_shape = tflite::micro::GetTensorShape(input1);
  RuntimeShape input2_shape = tflite::micro::GetTensorShape(input2);
  RuntimeShape output_shape = tflite::micro::GetTensorShape(output);
  bool* output_data = tflite::micro::GetTensorData<bool>(output);

  bool requires_broadcast = !tflite::micro::HaveSameShapes(input1, input2);
  switch (input1->type) {
    case kTfLiteFloat32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowLessEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data)
          : reference_ops::LessEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<float>(input1), input2_shape,
                tflite::micro::GetTensorData<float>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt32:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowLessEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data)
          : reference_ops::LessEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int32_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int32_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt64:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowLessEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data)
          : reference_ops::LessEqualNoScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int64_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int64_t>(input2), output_shape,
                output_data);
      break;
    case kTfLiteInt8:
      requires_broadcast
          ? reference_ops::Broadcast4DSlowLessEqualWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data)
          : reference_ops::LessEqualWithScaling(
                data->params, input1_shape,
                tflite::micro::GetTensorData<int8_t>(input1), input2_shape,
                tflite::micro::GetTensorData<int8_t>(input2), output_shape,
                output_data);
      break;
    default:
      MicroPrintf("Type %s (%d) not supported.",
                  TfLiteTypeGetName(input1->type), input1->type);
      return kTfLiteError;
  }
  return kTfLiteOk;
}

}  // namespace

void* Init(TfLiteContext* context, const char* buffer, size_t length) {
  TFLITE_DCHECK(context->AllocatePersistentBuffer != nullptr);
  return context->AllocatePersistentBuffer(context, sizeof(OpData));
}

TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
  TFLITE_DCHECK(node->user_data != nullptr);
  OpData* data = static_cast<OpData*>(node->user_data);

  MicroContext* micro_context = GetMicroContext(context);

  TfLiteTensor* input1 =
      micro_context->AllocateTempInputTensor(node, kInputTensor1);
  TF_LITE_ENSURE(context, input1 != nullptr);
  TfLiteTensor* input2 =
      micro_context->AllocateTempInputTensor(node, kInputTensor2);
  TF_LITE_ENSURE(context, input2 != nullptr);

  if (input1->type == kTfLiteInt8) {
    auto input1_offset = -input1->params.zero_point;
    auto input2_offset = -input2->params.zero_point;
    const int kLeftShift = 8;

    int32_t input1_multiplier;
    int input1_shift;
    QuantizeMultiplierSmallerThanOneExp(
        static_cast<double>(input1->params.scale), &input1_multiplier,
        &input1_shift);
    int32_t input2_multiplier;
    int input2_shift;
    QuantizeMultiplierSmallerThanOneExp(
        static_cast<double>(input2->params.scale), &input2_multiplier,
        &input2_shift);

    data->params.left_shift = kLeftShift;
    data->params.input1_offset = input1_offset;
    data->params.input1_multiplier = input1_multiplier;
    data->params.input1_shift = input1_shift;
    data->params.input2_offset = input2_offset;
    data->params.input2_multiplier = input2_multiplier;
    data->params.input2_shift = input2_shift;
  }

  micro_context->DeallocateTempTfLiteTensor(input1);
  micro_context->DeallocateTempTfLiteTensor(input2);

  return kTfLiteOk;
}

}  // namespace comparisons

TfLiteRegistration Register_EQUAL() {
  return tflite::micro::RegisterOp(comparisons::Init, comparisons::Prepare,
                                   comparisons::EqualEval);
}

TfLiteRegistration Register_NOT_EQUAL() {
  return tflite::micro::RegisterOp(comparisons::Init, comparisons::Prepare,
                                   comparisons::NotEqualEval);
}

TfLiteRegistration Register_GREATER() {
  return tflite::micro::RegisterOp(comparisons::Init, comparisons::Prepare,
                                   comparisons::GreaterEval);
}

TfLiteRegistration Register_GREATER_EQUAL() {
  return tflite::micro::RegisterOp(comparisons::Init, comparisons::Prepare,
                                   comparisons::GreaterEqualEval);
}

TfLiteRegistration Register_LESS() {
  return tflite::micro::RegisterOp(comparisons::Init, comparisons::Prepare,
                                   comparisons::LessEval);
}

TfLiteRegistration Register_LESS_EQUAL() {
  return tflite::micro::RegisterOp(comparisons::Init, comparisons::Prepare,
                                   comparisons::LessEqualEval);
}

}  // namespace micro
}  // namespace ops
}  // namespace tflite

redpajama_set_name: RedPajamaGithub


text:
Bts Grammy 2022 Predictions
2022 Grammy Early Predictions For Best Music Video.
They Will Replace Run Bts With A Series Of Behind The Scenes Documentaries And One Variety Shows.
The 2022 Grammy Nominations Saw Snubs And Surprises Involving Taylor Swift, Bts, Kacey Musgraves, Jon Batiste, Justin Bieber, The Weeknd, And More.
A Tour Is A Given.
Bts's V, Iu, Taeyeon, Aespa And Got The Beat:
Bts Grammy 2022 Predictions. Remember that the eligibility period, for whatever reason, spans from september 2020 to september 2021. The 2022 grammy nominations saw snubs and surprises involving taylor swift, bts, kacey musgraves, jon batiste, justin bieber, the weeknd, and more.
Grammy Nominations 2022 KeriLudovick from keriludovick.blogspot.com
Album of the year, artist of the year & more. Grammy awards 2022 is all set to take place on january 31, 2022, and the nominations of the categories will be announced on nov 23. Bts's v, iu, taeyeon, aespa and got the beat:
Source: kalilnatacha.blogspot.com
See5 artists who could make grammys history in 2022: Here are the big takeaways from the nominations.
Source: neswblogs.com
Remember that the eligibility period, for whatever reason, spans from september 2020 to september 2021. Of all the musicians who are planning to have a big night at the grammys in 2022, there is one name that.
Source: freeall.jumpingcrab.com
At the grammys 2021, bts was nominated in the best pop duo/group performance category but didn't win. As the recording academy's picks often seem to have a blend of both commercial success and critical acclaim, here are our best guesses for what will be revealed on november 23.
The video grammys 2022 record of the year predictions (by billboards) has been published on july 18 2021. Will win the grammy but not perform live.
As the recording academy's picks often seem to have a blend of both commercial success and critical acclaim, here are our best guesses for what will be revealed on november 23. A tour is a given.
Source: keriludovick.blogspot.com
We will get a bon voyage 5 & in the soop 3. There will be a new president in korea in 2022 so how the election goes may or may not influence them musically.
Grammy awards 2022 is all set to take place on january 31, 2022, and the nominations of the categories will be announced on nov 23. The recent songs are good, and bts is literally providing the kind of lyrics and songs that the grammy.
The trophy given to the winners in this occasion is looks like. At the grammys 2022, bts bagged yet another nod in the same category.
Source: mystarbiz.net
The 2022 grammy nominations saw snubs and surprises involving taylor swift, bts, kacey musgraves, jon batiste, justin bieber, the weeknd, and more. Remember that the eligibility period, for whatever reason, spans from september 2020 to september 2021.
They will replace run bts with a series of behind the scenes documentaries and one variety shows. Grammys 2022 will be the year of female rappers!!
See5 artists who could make grammys history in 2022: The trophy given to the winners in this occasion is looks like. Bts | big hit music/facebook.
There will be a new president in korea in 2022 so how the election goes may or may not influence them musically. The 10 bestselling songs in korea in january 2022 feb 16, 2022, 05:57pm est bts's jung kook is headed for a big hit on the charts, but his. Did bts get nominated for grammy 2022?
At the grammys 2021, bts was nominated in the best pop duo/group performance category but didn't win. Of all the musicians who are planning to have a big night at the grammys in 2022, there is one name that. Billboard predicts that bts will be one of the leading contenders for a nomination at the grammy awards.
The video billboard picked bts as 2022 grammy awards nominee. Album of the year, artist of the year & more. Grammy awards 2022 nominations date list, votes winners bts predictions blackpink.
New album era liniment imminent. Who will be nominated for the 2022 grammy awards? Bruno mars, taylor swift, lady gaga.
2022 grammy predictions
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redpajama_set_name: RedPajamaCommonCrawl


text:
Zombie apartments: The new face of inner-city living
Image by ahmadreza heidaripoor from Pixabay
By Stephen Dark / 20 July 2020 23 July 2020
We've all heard of zombie businesses propped up by various government subsidies during the Covid-19 pandemic that might already be unviable. Our memories might have faded a little, but post the 2007-08 global financial crisis, zombie economics – the blind belief in market liberalism – came to the fore in the guise of zombie neoliberalism. Dead ideas that refuse to accept their end date and still walk among us.
The word "zombie" originated in Afro-Caribbean folklore but did not become mainstream until the 1920s. American filmmaker George A. Romero (1940-2017) popularised the zombie genre with a string of flicks beginning with the satirical horror classic Night of the Living Dead in 1968. Well beyond a consumer culture, people had begun consuming each other.
Zombiism is alive and well
Zombie is defined in the Oxford Dictionary of English as "a hypothetical being that responds to stimulus as a person would but that does not experience consciousness". To be sure, much of what we do is indeed zombielike; a mindless expression of our subconscious.
Building zombie apartments is no exception. Like other zombie ideas, they are most difficult to kill off.
We might view zombie apartments in three parts: zombie developers who continue to build apartments that don't meet the needs of buyers; zombie buyers who continue to buy apartments that don't meet their needs; and zombie policies that continue to incentivise zombie developers and zombie buyers to build and buy apartments that don't meet their needs and they can't afford. The outlier is the zombie investor.
Think of it as a kind of zombie Ponzi scheme. Ponzi schemes, perhaps the epitome of zombie ideas, entice new investors to pay profits to earlier investors. The investment is artificially kept alive only as long as new investors can be found. That is, first off-the-plan investors then on-sell to new investors on completion – but only if new investors are willing and able to enter the market.
The evil orchestrator in this is not some fraudulent entrepreneur, but negative gearing, or so it seems.
Negative gearing: the scourge of millennials
Negative gearing is at the vanguard of zombie housing policy and the go-to culprit for pricing millennials out of the market. Insofar as an investment property is either positively or negatively geared, the main benefit is that any net rental loss can be offset against other income earned, thereby reducing your tax bill.
Presumably, a positively geared property that produces capital gains –inclusive of deductions – is the preferred outcome. But this is dependent on finding someone to rent at a rate that covers costs, and a consistent stream of new investors willing to pay a premium when it comes time to sell.
From a government perspective, the idea behind negative gearing is that it increases housing stocks: increased supply should lead to a surplus and subsequently, greater affordability. But when the price of apartments and houses is artificially buoyed, by cushioning losses through negative gearing, it has no material effect on ameliorating affordability. In fact, it does the opposite.
That is, with no rental caps in place, landlords can push up rents then gear themselves into additional dwellings (borrow more via the cash flow from rents) while reaping the tax benefits if things don't go exactly to plan.
But housing affordability is a consequence of more variables than just tax incentives. Pretty much all states and territories have adopted what's called "urban consolidation"; which is in effect, an urban containment strategy designed to curtail urban sprawl. Delineating urban growth boundaries means restricting the land available for housing close to inner-city areas, which means higher prices all round.
Another variable is the timing and type of supply. Developers cannot accurately anticipate the strength of demand years before it happens. Similarly, they also cannot gear up in the short-term to respond to a changing demand. Acquiring the right site, and the time and complexity to gain development approval and arrange finance, can be a lengthy process.
Population drives demand: or does it?
Between 2014 and 2018, the mix of new housing in Australian changed dramatically. Apartments accounted for one-third of all new dwellings; an increase from 15 per cent in the previous decade. According to the Reserve Bank of Australia, most of the development was high-density apartment complexes in inner-city and middle and outer-ring suburbs.
Presumably, much of the demand for housing, inclusive of demand for apartments, has been population-driven. Immigration has played a significant role in this. Numbers have hovered around 170,000 to 190,000 places a year over the last decade.
A primary reason for this is Australia's total fertility rate (TFR) which has been below replacement since 1976. Around 2.1 babies per woman is necessary to replace herself and her spouse. The TFR in Australia in 2018 was 1.74, falling from 2.02 in 2008. In short: the sad statistics is that without immigration, or a sudden increase in the urge to reproduce, our population would eventually dwindle to zero.
Since 2010-11 China and India have been the primary source of permanent immigrants to Australia. China is a highly collectivist culture. India is also a collectivist culture but to a lesser extent. They are gregarious and have large extended families – the needs of the group take priority over the needs of the individual.
This suggests that we should build medium to high-density apartments close to metropolitan areas where the majority of jobs are, that require less travel time and thus reduce traffic congestion. A good quantity of these should have four to five bedrooms – culturally appropriate and built for families.
The standard Western model: is it dead and buried?
But a quick informal survey of apartments for sale across Australia (14 July 2020) reveals that around 57 per cent have two bedrooms; 20 per cent were one-bedroom apartments; and 21 per cent were three-bedroom apartments. Four and five-bedroom apartments accounted for only 2 per cent of the total apartments for sale.
The TFR above indicates that two bedrooms might suffice – at least temporarily. But if we consider an average family of two parents and two children, one male and one female, as they get older, sharing a bedroom is totally off the cards. But it would be bizarre to blame our falling TFR on the availability of three-bedroom plus inner-city apartments; or would it? Indeed, that third child represents a very costly addition.
So, is the standard two-bedroom Western model of the residential inner-city apartment dead and buried? But like the zombie, it refuses to accept its obsolescence, and survives as the proverbial zombie apartment?
Evidence suggests not: the 2016 census found that families living in apartments were less likely to require an extra bedroom, but were more likely to have none spare, as opposed to detached houses (42 per cent compared with 13 per cent).
But is this a true reflection of demand? Families are constrained to living in accommodation that suits their needs and meets their budget. If they are unable to find such a dwelling, they simply compromise or move elsewhere.
We also know from many reports that residential towers in our most populous cities regularly experience an absence of occupants – termed "zombie apartment blocks".
The 2016 census recorded 1,089,165 (11.2 per cent of total dwellings) as unoccupied. Research by CoreLogic suggests that about half of these (524,779) were unoccupied perhaps due to the property being on the market. Other reasons might include newly constructed homes, residents temporarily absent on census night, and properties being renovated or about to be demolished.
Another reason for keeping a dwelling vacant is because it makes it easier to enter into a quick sale, and it incurs no wear and tear. Much of this can be attributed to investors, particularly Chinese investors, paying cash for apartments, leaving them vacant with a view to cashing-in on capital gains at a later date.
Zombie apartments: built for profit not for people
Investors naturally aim to make money. But to what end? A 2017 report by the United Nations focused on the "financialisation of housing", which it described as:
structural changes in housing and financial markets and global investment whereby housing is treated as a commodity, a means of accumulating wealth and often as security for financial instruments that are traded and sold on global markets. It refers to the way capital investment in housing increasingly disconnects housing from its social function of providing a place to live in security and dignity and hence undermines the realisation of housing as a human right. It refers to the way housing and financial markets are oblivious to people and communities, and the role housing plays in their wellbeing.
The hard truth of it is, Australians, for the most part, have viewed housing in this way for decades – as a "wealth accumulator" – and advertise accordingly: "Amazing investment opportunity available!"
In reality, the majority of apartments aren't built for families or new immigrants to Australia. They aren't even built for people. They are built for investors
In reality, the majority of apartments aren't built for families or new immigrants to Australia. They aren't even built for people. They are built for investors: for the most part, medium to high-end domestic investors and high-end foreign investors – they are often located on the coastal fringe of our major cities, expensive and luxurious.
Developers naturally aim to maximise their profit. They build what they think they can sell at an optimal price in the future, which means that the quality, quantity, and type of apartment might indeed be incorrect as the market unfolds. In this way, supply dictates demand, not the other way around – you can only buy what is made available to buy.
The safe bet for developers is to maintain the status quo and build mainly two-bedroom apartments for investors that will more or less hit the mark.
So, although the conventional nexus between demand and supply, interest rates and unemployment, a credit squeeze and a credit crunch, is well known, it's not always relevant. Financial speculation and opportunism can influence markets, policy changes and tweaks can quickly impact sentiment, and a home, presumably to house people, can be transformed into a financial instrument.
Homeless people are still Australian citizens, even if they have met with misfortune.
Who's to blame? The cities themselves have restricted housing supply by instituting urban containment strategies. This strategy, of course, is necessary to combat urban sprawl, but it cannot exist in isolation. Compensatory policies need to be enacted to ensure that unaffordable and unsuitable inner-city housing doesn't force the average family further and further from the city and their place of work.
The city must also shoulder the blame for allowing homelessness to grow to obscene levels. Homeless people are still Australian citizens, even if they have met with misfortune.
The modus operandi of our politico-elites is to drive investment and use housing as vehicles to do this. A zombie Ponzi scheme that is pretty much accepted by all. It's time local city councils, city planners, federal and state governments do their jobs and take responsibility for the gross misapplication of housing, inclusive of a lack of affordability, sustainability, and suitability, and the subsequent inequality that it has fostered.
The priority should be to build houses for people, and not merely for profit.
Stephen Dark has a PhD in Climate Change Policy and Science, and has lectured at Bond University in the Faculty of Society & Design teaching Sustainable Development and Sustainability Economics. He is a member of the Urban Development Institute of Australia and the author of the book Contemplating Climate Change: Mental Models and Human Reasoning.
Yep they're planning for the apocalypse – your guide to the preppers
Will we choose a bum-led zombie urban future?
The rise of solo households and how our cities need to adapt
apartments, negative gearing, zombie housing
2 replies on "Zombie apartments: The new face of inner-city living"
Emma Gyuris says:
Your argument around immigration driven by the low fertility rate resulting in a depopulation of the country is weak. You must realize that there is a difference in keeping a population from declining via immigration and allowing immigration to cause rampant population GROWTH
A whole stack of Baby Boomers, like myself and my wife, are moving out of the workforce and into retirement. Two bedroom apartments are ideal for this demographic and this releases large homes in the suburbs for families. With people living longer and still wanting to meet people over coffee nearby the 2 bed apartment in a bustling urban location makes a lot of sense.
We also need family apartments and many developers are providing this with child care centres onsite as well as shared playgrounds and swimming pools. Sounds like a good lifestyle.


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watermelon virus diseases
Muskmelon, watermelon, and squash are severely affected Minor Guidelines, Other Vegetable Choose The symptoms of infection can vary depending on the species of the host, the cultivar, environmental factors and strains of the virus, but the main symptoms to look for are mottling and mosaic. detected in Florida in the spring of 2003 in squash and later detected in CA, respectively. For example, watermelon mosaic causes systemic mosaic and occasional leaf malformation in Cucurbita pepo a type of Squash while causing necrotic local lesions, systemic mottling, and necrosis when infecting Pisum sativum (Pea) or mosaic lesions and fruit distortion in Citrullus lanatus (Watermelon). Despite low sampling frequencies, 37: 247. Although more common in the southern and western regions southern US. As it grows, these spots expand and turn black or gray and new sunken areas may appear on your fruit. The virus is carried within the seed and cannot be eliminated 1435. Viruses are ubiquitous and it is We are also thankful to David Langston, University of Georgia; Gary Compendium of Cucurbit Diseases. Print. Texas Agric. Stn. Program, The University of Tulsa, Oklahoma. First described on squash in Florida, WMV arose from a unique recombination of genetic material contributed by Soybean mosaic virus (SMV) and Bean common mosaic virus (BCMV) along with Peanut Stripe virus (PSV). DISEASES Following are the main diseases found in watermelon. the growing season and determine the impact of disease incidence of a particular Calif. Agric. Sead Sabanadzovicjo, specific virus by DIBA (3). and Texas with an average incidence of 2.6%. 2. One of such kits, called ELISA, Enzyme-linked immunosorbent assay ELISA uses an antibody that specifically recognizes the virus of interest by binding to the antigen created by the plant that is specific to the virus. growers can utilize to reduce losses from these economically important diseases. 8. It has With the exception of SqMV, which is seedborne Thirteen out of 17 viruses were detected Watermelon is subject to a variety of diseases caused by plant pathogens, particularly fungi and viruses (18). Sap was extracted and 2 µl Florida Department of Agriculture and Consumer Services, Plant Viruses Online Database on Watermelon Mosaic 2, Mosaic Virus Disease of Vine Crops Fact Sheet, https://en.wikipedia.org/w/index.php?title=Watermelon_mosaic_virus&oldid=973041362, Creative Commons Attribution-ShareAlike License, Ring spots on watermelon caused by Watermelon mosaic virus. 2007. 96:243-248. virus in California is influenced by an expanded host range of non-cucurbit weed We also acknowledge the two-year 97:145-154. After the virus is found in fields, aphids could potentially spread it to new hosts before the pesticides eliminate the aphids. Watermelon The incidence of PRSV-W was always higher The highest average mixed infection of at least two viruses was separate sheets of membranes in order to test each sample against the antisera The number of samples collected ranged blistering, severe leaf mosaic, mottling, stunting, and leaf cupping were common such as nutrient deficiencies. There is limited information on frequency and distribution of crops, and weeds from 10 southern striped cucumber beetles. cucurbits are transmitted by aphids and whiteflies and are difficult to control Antisera against 15 viruses (Table 1) 4:201-207. [3], According to Florida State's Department of Plant Pathology and Agronomy, watermelon mosaic virus is a potyvirus whose particles are 760 nm long flexuous rods which has a single strand of RNA. Field surveys were conducted to virus. and Johnson, J. This host range includes more than 170 different plant species from 27 different families.[3]. squash in Alabama (9). Watermelon mosaic virus disease of squash, watermelon, and pumpkin. pod mottle virus (BPMV), Cucurbit aphid born yellows virus (CABYV), 68: 1006. Phytopathology transported to the laboratory at the University of Tulsa. A complex of viruses is Good is that it shows a clear difference between virus infected and healthy plants in Occurrence Of Viruses Infecting Watermelon, Other Cucurbits, and Weeds in the Parts of Southern United States, Akhtar Ali and Osama Abdalla, Department of Biological Sciences, University of Tulsa, OK 74104; Virus. Systemic mosaic or mottle on leaves. Texas A&M Univ., College Station, TX. and produce symptoms on all commercially grown cucurbits. RNA extraction and tested by RT-PCR against CYSDV and SqVYV. Besides the preventative use of insecticides, the application of mineral oil sprays has been shown to interfere with virus transmission and can be an effective control (Zitter, 1996). It is possible that viruses other than those tested in this study infected these infected watermelon and other cucurbits in the southern US. to summer and winter squash, but shows only mild symptoms in the other cultivated 10). Harveson, R. M., Halliwell, R. S., United States Department of Agriculture, National Agricultural However, further tests such as biological characterization since been reported from most southern and southwestern states and was found in The disease symptoms are different among the squash, melons, gourds, and even wild cucurbits that it infects. 7. A survey of viruses infecting yellow summer squash in South Two of the Ali, A., and Randles, J. W. 1997. US states (Fig. host range for WMV-2 is not limited to cucurbits, thus opening the possible overwintering Highlights of Agric. No. 5). (SqMV), Squash vein yellowing virus (SqVYV), Tobacco ringspot virus Early decline of muskmelon vines is usually attributed to Viruses are so small and most farmers don't have the right equipment, it makes it hard for them to determine what virus is responsible for the disease in their field.
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Iron ore prices were in full-scale retreat once again Friday, with the steelmaking material collapsing below the psychologically key $60 a tonne threshold, and marking the commodity third consecutive weekly fall.
Ore with 62% content in Qingdao lost $2.33 a tonne to close at $57.91, data from the Metal Bulletin shows, hitting a seven-month low partly due to lacklustre futures market ahead of a holiday in China.
Ore with 62% content in Qingdao lost $2.33 a tonne to close at $57.91, data from the Metal Bulletin shows, a seven-month low and the commodity third consecutive weekly fall.
Several other reasons have been cited lately to explain the sharp price collapse, including fresh worries about the health of China's economy, as the nation consumes nearly three-quarters of the world's seaborne ore.
But there are many more. Early this week, for one, iron ore stockpiles hit a new record high in China, taking the already bloated figure up to 22.05 million tonnes so far this year, based on data from Shanghai Steelhome E-Commerce Co. This means port holdings have already surpassed the 20.85 million added in 2016 and are sitting at the highest level on record.
Another headwind for iron ore demand is increasing use of scrap in China. In the past, low pig iron prices and little recycling meant scrap did not play much of a part in the domestic industry. This is especially true when compared to places like Europe, where steelmakers charge up to around 18% scrap in basic oxygen furnaces (around 20% scrap is a technical limitation).
Worries about a recent pickup in market interest rates in China and the prospect of a slowdown in the country's property market, have also been cited as factors dragging iron ore prices down.
Then, there is the ever present issue of a global glut, which has worsened in recent months due to fresh supply coming from recently opened mines, such as Roy Hill in Australia, Anglo American's Minas Rio and Vale's S11D in Brazil.
The worsening market situation has prompted analysts, such as BMI Research to revise their prices outlook down. Earlier this month, the research arm of Fitch Group said it expected seaborne to drop to $65 a tonne this year (down from a previous forecast price of $70), and $50 in 2018, to end up touching a low of $44 by 2021.


text:
Home > Skinnier.org
The skinny on vanity sizing
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When J. Crew last month announced[1] it was introducing a new triple-zero size, equivalent to an XXXS, the blogosphere erupted in irritated frustration and condemnation of the supposed routine, and worsening practice, of "vanity sizing." And that included[2] the apparel retailer's fans.
Why are J. Crew and other retailers going to these extremes? Is it really about women's vanity?
Vanity sizing is taken for granted
So-called vanity sizing is the putative practice by the apparel industry to label, say, a realistic "10" with a "4" so as to thrill women about the size they're fitting into in order to make a sale. The belief stems largely from a 2003 study[3] by Tammy Kinley of the University of North Texas. Kinley looked at 1,000 pairs of women's pants and determined that high-end fashion designers, who she said can afford[4] to waste more fabric, made the smaller-size pants — smaller sized labeled pants, that is — that were actually larger in reality.
A brief[5] touting the study on the University of North Texas website notes: "Kinley's study focused solely on women's clothing, but she states that vanity sizing happens in men's and children's clothing as well.
"'Nowadays the size number doesn't mean much,' she says. 'It's just an arbitrary number.'"
Of course, it's unlikely that vanity sizes would be an "arbitrary" number, considering that they are supposedly wielded with a purpose. And her assertion that the practice occurs in menswear and childrenswear, without backup, is troublesome. In any case, the study is consistently quoted in stories about vanity sizing to this day, 11 years after its publication. Very little information seems to have been added since that could give further insight or any more concrete information on the topic.
Moreover, some people actually find that upscale designer clothing is smaller than clothing from mass market retailers[6] — a notion that severely challenges not just the conclusions, but also the premise, of the original vanity sizing study.
The role of Marilyn Monroe
One of the most common anecdotes cited to prove the prevalence of vanity sizing is that Marilyn Monroe was a British size 16 in the 1950s, but would fit into a size 4 today. The trouble with the story is that Monroe, who had a voluptuous hour-glass build, was nevertheless a small-framed woman with a tiny waist[7]. Her size, as many women's do, fluctuated over the years, and most of her clothes were custom-made, making it difficult to pinpoint a size. Looking at her actual measurements[8] reveals a woman with a very idiosyncratic physique, and that she was likely a size 4 many times in her life; that is, a 4 even in her own day.
Are women so easily duped?
Advertisers and the retailers that hire them are notoriously willing to take advantage of human psychology[9] to boost sales, at least to some extent. Sales strategies lean on psychological manipulation; brands depend on it.
But are women so easily duped[10] or so easily pleased that, thanks to a number on a tag, they happily whip out their credit cards to purchase an item of clothing? More likely, creating a set of standard sizes that works for all[11] women is a difficult, if not impossible, task. The unique attributes[12] and changes of each woman's body come into play, as does fabric, cut, style, the flukes of individual manufacturers, and, finally, the unique personal preferences of each woman as well.
Many retailers are mixing things up again, too, doing away with numbers[13] and sticking with the more fungible "small, medium, and large" tags.
Sizing vs fit
Standardization of sizing has been attempted more than once, but has shifted[14] as America's demographics and rate of obesity has changed.
Many apparel retailers have discovered that the variety of ethnicities in the United States represents a wide range of sizes that they must take into account in order to market to everyone. Take Uniqlo, an Asian apparel retailer that has recently added larger sizes and a greater range[15] of sizes to accommodate not just larger Americans, but also our wider diversity. Any apparel retailer aiming for global expansion will be facing similar challenges of genetic diversity.
In fact, when J. Crew announced its new triple-zero size, the company said it was to accommodate the needs of Asian women[16], who are smaller on average than women in other countries.
Vanity sizing vs adequate sizing
While stories and blog posts regularly pop up regarding vanity sizing, one sizing issue that rarely gets addressed is the dearth of apparel items in the extreme sizes, especially for larger women.
Earlier this year, fashion designer Isaac Mizrahi addressed that issue, telling HuffPost Live in March that fashion brands should do away with[17] "petite" and "plus-size" departments.
As a boy, Mizrahi was sent to the husky section to find something suitable; as a designer he provides a range of his clothing from XXS to XXXL, with no other designations.
A wise choice, perhaps, and not just a thoughtful one. Take Lululemon Athletica, which until recently enjoyed a sort of skinny-girl exclusivity and was known for stocking few, if any, larger sizes[18] in their stores. That has allowed an opening for activewear competitors[19] that offer a wider range of sizes.
"I don't want to speak to a plus-sized woman different than I speak to a woman," Mizrahi told the Huffington Post. "If you're going to do clothes, you need to do them in a whole size range."
^ last month announced (www.retaildive.com)
^ included (racked.com)
^ 2003 study (news.unt.edu)
^ high-end fashion designers, who she said can afford (articles.chicagotribune.com)
^ brief (news.unt.edu)
^ upscale designer clothing is smaller than clothing from mass market retailers (www.vanitysizing.com)
^ small-framed woman with a tiny waist (starcasm.net)
^ actual measurements (jezebel.com)
^ willing to take advantage of human psychology (english.pravda.ru)
^ easily duped (twelvemoons.wordpress.com)
^ standard sizes that works for all (www.slate.com)
^ unique attributes (www.fashion-incubator.com)
^ doing away with numbers (online.wsj.com)
^ attempted more than once, but has shifted (www.newyorker.com)
^ added larger sizes and a greater range (www.retaildive.com)
^ needs of Asian women (abcnews.go.com)
^ should do away with (www.retaildive.com)
^ few, if any, larger sizes (jezebel.com)
^ allowed an opening for activewear competitors (http)
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Categories:Skinnier.org
Lululemon's Too-Thin Yoga Pants Fiasco Could Cost the Company Over $20 Million
The next big pair of blue jeans? Yoga pants


Gender Gap Narrows, Changing Landscape for E-Commerce - InternetNews.
Women have narrowed the "Internet gender gap" from 21 percent to only 8 percent in less than two years, creating significant marketing trends for e-commerce, according to a new industry report.
According to "Internet User Trends: Year-End 1998," a study recently released by Washington, DC-based The Strategis Group, only 16 percent of U.S. adult females used the Internet in mid-1997, compared to 37 percent of males; but female usage mushroomed to 38 percent by the end of 1998, while that of males grew to 46 percent.
The study shows that, while the gender imbalance is disappearing, major differences remain in how the Internet is used.
"The surge in female Internet use largely explains why clothing, for example, is the fastest-growing category of e-commerce, as female online purchasers buy clothing at a 4:1 ratio compared to males," said Jeff Moore, Internet consultant with the Strategis Group. "Alternatively, men buy software at a 3:1 ratio and electronics at a ratio exceeding 5:1."
"The Internet's days as the domain of technology-oriented men are over," said Strategis Group's consultant Matt Page. "Companies advertising online and doing e-business will fall behind unless they understand how this shift toward more females and more mainstream users overall will affect them."
"This gap will continue to narrow," predicted Elliott Hamilton, senior vice president, North American Telecom at The Strategis Group. "The Internet adoption rate is essentially the same for male and female users 18 to 34, while female users 65 and older are less than half as likely to use the Internet as their male counterparts."
The study also showed that females are twice as likely to be "light users" (two hours per week or less) of the Internet in the workplace and spend nearly an hour per week less on the Internet at home. Males are more likely to switch Internet service providers as a result of price increases, but are more interested in high-speed access.
The report is available for $1,500 for one copy or $2,500 for a bi-annual subscription.


Shadows has remained as a big challenge for years in computer graphics. There are many ways to achieve "shadows", some methods require special data structures and coding, and some has quality and speed falloffs.
Shadow mapping is one of methods been used by now, presenting relatively easy implementation and reasonable speed, at cost of aliasing effect for shadows far from the camera, a shadow texture to hold information for each point light (more for soft shadows) and big sized shadow map texture memory space requirement.
Back-face culling is the process of discarding polygons that are not facing towards the camera where the image is taken from. So often used in 3D video games, the process allows rendering of scene much faster by eliminating the calculation of back-facing polygons-those eventually will be covered by another front-facing polygons. To get a better understanding, one can imagine a box, having all the 6 faces facing outer from the cube, that means the top face will orient towards above the cube, and bottom face will orient below. So, any camera that is in the outer space of the cube will see the all 6 faces, but a camera in the cube will not see any.
In general purpose 3D drawing software and CAD applications, it is often impossible to determine the correct orientation of faces. Any single face in 3D space may be clock-wise or counter clock-wise, constructing a outer face of an entity or should be just a plane with both sides visible, depending on the whole drawing. So, all faces in CAD applications are simply rendered without back-face culling, remaining both sides visible.
On the other hand, shadowing with shadow map method requires back-face culling turned on, makes it impossible to use with CAD applications. After searching everywhere to find a way to make shadow mapping work while back-face culling is off, I haven't came to any solution. Then I have decided to play a bit and finally made it! So here it is.
I will be using a very good, yet simple to understand sample project, developed by Paul Baker. You can find his tutorial at http://www.paulsprojects.net/tutorials/smt/smt.html.
Load the project into Microsoft Visual Studio and run. Then open the file main.cpp and locate glEnable(GL_CULL_FACE); in function bool Init(void) on line 70 and replace it with glEnable(GL_CULL_FACE); and run again. When back-face culling disabled, you will see there is disturbing Z-fight effect, due to multi pass rendering required for shadow maps (Three passes actually, in this example).
Shadows should be rendering correct again.
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text:
Shared benefits from onshore renewable energy developments
Energy and Climate Change Directorate
Economy, Energy
Guidance on good practice principles for businesss, communities, local authorities and others.
Ministerial Foreword
Shared Ownership Journey
The Planning System
Structure of Investment
Community and Renewable Energy Scheme
Community and Renewable Energy Scheme (CARES) is delivered by Local Energy Scotland on behalf of the Scottish Government and provides support and advice to community groups.
People who are bound together because of where they reside, work, visit or otherwise spend a continuous portion of their time.
A community can be a neighbourhood, town, work place, gathering place, public space or any other geographically specific place that a number of people share, have in common or visit frequently.
A "community group" may refer to any number of member-led organisation types, and may not always be formally constituted, however to be a partner in a shared ownership project, a community group will have to take on a formal structure.
The "community" is understood to include this range of views and opinions. The "community group" is used to refer to an organisation or entity which is actively engaged in discussions with a renewable energy business and exploring the opportunity for investment.
Community Action Plan
A Plan agreed with the wider community and including details of the local community priorities for maximising the impact from community benefits packages.
Community Benefits are voluntary provisions made by a renewable energy business to the community(ies) located near a development.
A voluntary organisation set up by statute and run by local residents to act on behalf of their area.
Community Vehicle
The legal structure set up by the community to become involved in the project. There are a number of different legal structure to consider including development trusts, co-operatives, and community interest companies.
Energy Investment Fund (EIF)
A Scottish Government Fund delivered by the Scottish Investment Bank. EIF focuses on:
Increasing shared ownership of energy projects in Scotland (including community stakes in commercial developments).
Accelerating the development of commercial low carbon energy projects in Scotland.
Final Investment Decision (FID)
The point at which everything is in place for the project to go ahead.
Financial Close
When all the project and financing agreements have been signed and all the required conditions contained in them have been met. It enables funds (e.g. loans, equity, grants) to start flowing so that project implementation can actually start.
A model where the community and renewable energy business create an organisation to take forward a project together. The renewable energy business may own a larger share of the joint venture company.
Local Energy Scotland
A consortium made up of: Energy Saving Trust, Changeworks, The Energy Agency, and SCARF and, the Wise Group who administer and manage the Scottish Government's Community and Renewable Energy Scheme (CARES).
The price of a development, calculated by the value which it could achieve on a given market. For example, once a project has achieved planning permission, its market value will normally be considerably higher than its cost value.
Material Consideration
A factor which must be considered by the decision maker when assessing a planning application for development.
Document describing an agreement between two or more parties. This document is not legally binding, but indicates an intended common line of action.
A contract by which one or more parties agree not to disclose confidential information that they have shared with each other as a necessary part of doing business together.
Partnership Portal
Is an online tool – available at localenergyscotland.org/partnership portal
– where you can post and browse investment opportunities in community renewable energy projects.
Post-Planning
Following approval of a planning application by the relevant planning authority.
In advance of submission of a planning application to the relevant planning authority.
An individual or organisation appointed to coordinate a community group's role and involvement in a project.
Any structure which involves a community group as a financial partner benefitting over the lifetime of a renewable energy project.
Special Purpose Vehicle (SPV)
A legal entity created for a limited purpose. SPVs are used for a number of purposes including the acquisition and/or financing of a project.
Email: lorne.frew@gov.scot


Looking for a way to sell products to customers in the United States, but don't have a US-based company? The answer is to work with a US fulfillment company – one that can get your products to your customers in good time. However, there are quite a few things that you'll need to know here.
Do You Need to Have a US Corporation Set Up to Sell in the US?
No, you do not need to set up a US corporation, although that advice is commonly given. It's actually relatively simple to sell products and accept payments online without an EIN, and then use a fulfillment company to store the products you sell and fill orders to your customers. You'll even find that the right fulfillment company can provide you with help in getting products through customs and dealing with import documents. With that being said, if you intend to open a physical location in the United States, then you will have to set up as a US corporation.
Do You Pay US Taxes?
If you do not set up a US corporation, you do not have to worry about federal taxes in most cases. However, there may be some taxes incurred, such as gross transportation income taxes, corporate income tax, and more. It's highly recommended that you work with an experienced tax attorney with good knowledge of international business and taxation matters.
However, you will need to worry about collecting and then paying sales tax. This is state-based, and will depend on the state in which the fulfillment center you choose is based (where their nexus is located). You'll need to collect sales taxes for sales made in that state and pay them to the state government. Note that you do not need to collect sales taxes on products sold in other states.
As an international business attempting to sell products to US-based customers, you are technically an importer. Importing is generally handled by freight forwarding companies, and they come in all sorts of sizes and capacities. Essentially, freight forwarders do exactly what it sounds like – they take products from one geographic area and transport them to a port in another geographic area.
You'll need to do your research when choosing a freight forwarding company to ensure that they are on the up and up, that they have a reputation for timely deliveries, and that they are insured to protect your cargo. As a note, some fulfillment centers can help here. The fulfillment partner you choose may have relationships with established, well-respected freight forwarders. In some instances, the fulfillment center itself might have a freight forwarding division itself.
The United States has several agencies responsible for ensuring product safety when it comes to items imported from overseas (as well as products manufactured within the country). It's your responsibility to know these agencies, how they work, what the process and timeframe for approval might be, the testing methods used, acceptable certification types, and more.
For instance, the FDA handles all pharmaceuticals that are imported into the country. The FDA is responsible for most everything else, from foods and beverages to cosmetics and everything in between. In addition to regulating agencies, you'll need to be familiar with laws governing imported products, such as the Federal Food, Drug and Cosmetic Act (FD&C Act), as well as the Fair Packaging and Labeling Act (FPLA).
Finally, you will need to understand the broad range of substances, materials, and products that are banned in the US, as they relate to the goods you are attempting to import. Some of these are well known, such as lead and asbestos, but some are more obscure including specific types of cheeses, prepared foods containing meat products, cigars, and a great many others.
When partnering with a US-based fulfillment center, it's vital that you make a smart, informed decision, and that you're able to choose the best possible location for the center. While there is no such thing as a one-size-fits-all solution here, there are some best practices that you should bear in mind.
Import Nation – One thing to consider is where you'll be importing from. For instance, if you're importing from China, many companies choose to bring products in through Southern California, rather than paying more to reach another port. However, with the expansion of the Panama Canal the East Coast of the US is now relatively cost effective to reach. Particularly when you consider that the highest unit cost in the supply chain is the last leg (to the end consumer) which leads us to reviewing where your demand is.
Sales and Demand – You might choose your fulfillment center location based on the anticipated sales and demand. Will it be nationwide? If so, you might do best with a eastern-located fulfillment center, rather than one on the West Coast. This due to the majority of the US population living on the Eastern side of the US. However, if you'll be focusing sales in a specific region of the country, then you would do best with a fulfillment center located in or near that area.
Sales Tax – As mentioned previously, you will have to pay state sales tax based on the rate of the state in question. However, some US states do not have sales taxes, and you can save a significant amount of money by locating your fulfillment center in one of those. Currently, the only states without a statewide sales tax are Alaska, Delaware, Montana, New Hampshire and Oregon.
Again, it's essential that you make an informed decision when choosing a fulfillment service and getting the best pricing. How do you do that, though? The best option is to pay a visit to the fulfillment center in person if possible. However, that may not be possible in all instances. If not, check into the company's financial standings through a D&B report. In some instances, you might be able to request video footage of the company's warehouse, stock and distribution system. Always check reviews from current and previous customers, and if possible, speak with those individuals about their experience with the fulfillment center.
With the tips and tricks listed here, it should be simpler to choose the right fulfillment center for your needs. Take your time when making a decision of this import, and never rush into a relationship that might not be the right fit for you.


text:
Q: css how do i fix a single nested div when scrolling the other layered/nested contents in a container? I have seen a number of interesting posts on the subject of fixed position elements, but I have a problem that I can't solve.
I have a number of nested divs inside a scrolling div container as in my example here

.bottombox
{
margin-top:0px;
margin-left:0px;
Position: absolute;
width: 200px;
height:200px;
overflow:auto;
background-color: darkblue;
}

.firstbox
{
margin-top:10px;
margin-left:10px;
width: 700px;
height:50px;
background-color: lightblue;
}

.secondbox
{
margin-top:20px;
margin-left:10px;
Position: absolute;
width: 700px;
height:50px;
background-color: brown;

}

.thirdbox
{
margin-top:30px;
margin-left:10px;
width: 100px;
height:100px;
/*Position: fixed;*/
background-color: white;
}

.topbox
{
margin-top:40px;
margin-left:10px;
width: 700px;
height:500px;
background-color: darkgray;
}

As you can see there are a number of "layers" which scroll together. The problem I have is that I want just the white box to stay fixed in relation to the bottom box which is in effect the container.
Can this be done with CSS? If not, what about Jquery to dynamically update its position?

A: I can't think of any way to do this in CSS, but here's a jquery solution:
http://jsfiddle.net/drHam/7/
$("#bottom").scroll(function(){
    var $this = $(this);
    $(".thirdbox").css("top",$this.scrollTop())
                  .css("left",$this.scrollLeft());

    $(".topbox").css("top", $this.scrollTop()*-1)
                .css("left",$this.scrollLeft()*-1);
});

A: I think this is not possible with pure CSS.
I worked out a solution with jquery, see updated fiddle:
var bottom = $("#bottom");
var third = $("#third");
var top = $("#top");

bottom.scroll(function() {
    third.css("left", bottom.scrollLeft());
    third.css("top", bottom.scrollTop());
    top.css("left", -bottom.scrollLeft());
    top.css("top", -bottom.scrollTop());
});

redpajama_set_name: RedPajamaStackExchange


A source familiar with The Grateful Dead confirms to Billboard that the band has been at least "considering" a gig in Santa Clara, Calif., the weekend before the Fare The Well concerts in Chicago July 4 weekend that were billed as the final Dead shows.
A report on the fan blog hypemusicfestivals.com first put out the "rumor" that the Dead would soon be announcing two more shows the weekend before Fare Thee Well in Chicago, which would be June 27-28.
This would be the show where tickets are selling for tens of thousands of dollars, of course, and as soon as someone figured out that there could be, um, an opportunity to do that somewhere else, well. That's when the cash register dinged and it didn't occur to anyone to start monetizing this internationally.
They could hold fifty of these shows and make an insane amount of money just by playing American underground music. Wanna bet that's what happens next?


text:
There are no known download links for this game.
The Girl in the Haunted House
by Amanda Lange
A scary story. What kind? Better find out for yourself.
An entry in the 2014 Fear of Twine exhibition.
First Publication Date: February 14, 2014
TUID: 4q82xxvv21kxt34z
Interesting, Creepy, March 1, 2014
by forgepoet
I enjoyed this. It's effective and fun.
It reminded me of an old school CYOA, with branches that depict different realities, rather than different aspects of the same reality. You're building a story here, and your choices will affect it, but you won't have much idea what's going to happen based on what you've picked. This actually works pretty well with the genre --you're supposed to feel helpless and uncertain, even a little foolish at times. And there are a number of subtle variations along each path that make the story seem coherent and put together even on repeated plays.
(Spoiler - click to show)The author somehow managed to create a CYOA with the feel and effect of watching a handful of different horror movies. Your job, as the player, is to watch and occasionally flip the channel to see what other movies are playing. And it really does work in this context.
Overall, I really felt more as if I were assembling a story than playing a game, but it was an enjoyable process.
Eek! (restart) (...) Eek!, January 1, 2015
by Sean Callahan
This game's best feature is its replayability. Each plot possiblility is pretty short -- just long enough to build up to a good scare -- but there are a lot of them. I've replayed it seven or eight times now, and I'm still not sure I've seen everything.
Halloween Scares, Bite-Sized, March 5, 2014
by Danielle (The Wild West)
If you like scary (but not too gruesome) like I do, this game hits the spot. Though not very long, it effectively captures that creepy mood I like when I'm craving Halloween.
Think of it like a snack-sized Snickers bar...it's not gonna replace the amazing feast that is Halloween (or a creepy game like ANCHORHEAD), but it'll definitely tide you over!
If you enjoyed The Girl in the Haunted House...
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Underrated Menu-Driven Games by forgepoet
Menu-driven games that I think should have wider exposure. Games that might not be perfect but deserve better than no reviews or no rating.
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