William Wayn WillzWayn

## TSP - Exercice 1.ipynb

      
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                WillzWayn
                / TSP - Exercice 1.ipynb
            
            
              Created
              February 18, 2026 16:19
            
          
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## iris.csv

          
            sepal_length
            sepal_width
            petal_length
            petal_width
            species

            
              5.1
              3.5
              1.4
              0.2
              setosa

            
              4.9
              3.0
              1.4
              0.2
              setosa

            
              4.7
              3.2
              1.3
              0.2
              setosa

            
              4.6
              3.1
              1.5
              0.2
              setosa

            
              5.0
              3.6
              1.4
              0.2
              setosa

            
              5.4
              3.9
              1.7
              0.4
              setosa

            
              4.6
              3.4
              1.4
              0.3
              setosa

            
              5.0
              3.4
              1.5
              0.2
              setosa

            
              4.4
              2.9
              1.4
              0.2
              setosa

## get_memory_size.py
from typing import Dict, Union
from huggingface_hub import get_safetensors_metadata
import argparse
import sys

# Example:
# python get_gpu_memory.py Qwen/Qwen2.5-7B-Instruct

# Dictionary mapping dtype strings to their byte sizes
bytes_per_dtype: Dict[str, float] = {

## Obsidian RenderHeatmapCalendar Dynamic Filter

```dataviewjs
// Adicione uma caixa de seleção HTML para escolher a variável de filtro
const filterVariableSelect = document.createElement("select");
filterVariableSelect.innerHTML = `
  <option value="Proudness">Proudness</option>
  <option value="Writing">Writing</option>
  <!-- Adicione mais opções conforme necessário -->
`;
this.container.appendChild(filterVariableSelect);

## image_cutter_linux.sh
image=icons_finance01_new.jpg

size=$( identify -ping -format "%wx%h" "${image}" )
x_upb=${size%x*}
y_upb=${size#*x}

x_inc=350
y_inc=350
x_tile=350
y_tile=350

## check_correlation.py
# Create a correlation matrix
corr_metrics = df.corr()
corr_metrics.style.background_gradient()

## load_shp_file.py
def load_geom_labels(shp: Path):
    from osgeo import ogr; ogr.UseExceptions()
    '''
    Read a .shp file and return rowidx, ID Field and geom.

    returns dictionary
    '''

    ogr_ds = ogr.Open(str(shp))
    ogr_lyr = ogr_ds.GetLayer()

## reproj_wgs84_4326_to_sirgas2000_4674.py
import pyproj
import shapely
from shapely.ops import transform

def reproj_polygon(geometry:shapely.geometry):
    wgs84 = pyproj.CRS('EPSG:4326')
    utm_sirgas_2000 = pyproj.CRS('EPSG:4674')

    project = pyproj.Transformer.from_crs(wgs84, utm_sirgas_2000, always_xy=True).transform

## reduce_mem_usage_pandas.py
## Reduce memory usage
def reduce_mem_usage(df, verbose=True):
    numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64']
    start_mem = df.memory_usage().sum() / 1024**2
    for col in df.columns:
        col_type = df[col].dtypes
        if col_type in numerics:
            c_min = df[col].min()
            c_max = df[col].max()
            if str(col_type)[:3] == 'int':
sepal_length	sepal_width	petal_length	petal_width	species
5.1	3.5	1.4	0.2	setosa
4.9	3.0	1.4	0.2	setosa
4.7	3.2	1.3	0.2	setosa
4.6	3.1	1.5	0.2	setosa
5.0	3.6	1.4	0.2	setosa
5.4	3.9	1.7	0.4	setosa
4.6	3.4	1.4	0.3	setosa
5.0	3.4	1.5	0.2	setosa
4.4	2.9	1.4	0.2	setosa
	from typing import Dict, Union
	from huggingface_hub import get_safetensors_metadata
	import argparse
	import sys

	# Example:
	# python get_gpu_memory.py Qwen/Qwen2.5-7B-Instruct

	# Dictionary mapping dtype strings to their byte sizes
	bytes_per_dtype: Dict[str, float] = {

	```dataviewjs
	// Adicione uma caixa de seleção HTML para escolher a variável de filtro
	const filterVariableSelect = document.createElement("select");
	filterVariableSelect.innerHTML = `
	<option value="Proudness">Proudness</option>
	<option value="Writing">Writing</option>
	<!-- Adicione mais opções conforme necessário -->
	`;
	this.container.appendChild(filterVariableSelect);
	image=icons_finance01_new.jpg

	size=$( identify -ping -format "%wx%h" "${image}" )
	x_upb=${size%x*}
	y_upb=${size#*x}

	x_inc=350
	y_inc=350
	x_tile=350
	y_tile=350
	# Create a correlation matrix
	corr_metrics = df.corr()
	corr_metrics.style.background_gradient()
	def load_geom_labels(shp: Path):
	from osgeo import ogr; ogr.UseExceptions()
	'''
	Read a .shp file and return rowidx, ID Field and geom.

	returns dictionary
	'''

	ogr_ds = ogr.Open(str(shp))
	ogr_lyr = ogr_ds.GetLayer()
	import pyproj
	import shapely
	from shapely.ops import transform

	def reproj_polygon(geometry:shapely.geometry):
	wgs84 = pyproj.CRS('EPSG:4326')
	utm_sirgas_2000 = pyproj.CRS('EPSG:4674')

	project = pyproj.Transformer.from_crs(wgs84, utm_sirgas_2000, always_xy=True).transform
	## Reduce memory usage
	def reduce_mem_usage(df, verbose=True):
	numerics = ['int16', 'int32', 'int64', 'float16', 'float32', 'float64']
	start_mem = df.memory_usage().sum() / 1024**2
	for col in df.columns:
	col_type = df[col].dtypes
	if col_type in numerics:
	c_min = df[col].min()
	c_max = df[col].max()
	if str(col_type)[:3] == 'int':