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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Parallel Programming in Python
Step2: We then initialize our thread with the Thread class from the threading module.
Step3: When we run a prog... | <ASSISTANT_TASK:>
Python Code:
# code for loading the format for the notebook
import os
# path : store the current path to convert back to it later
path = os.getcwd()
os.chdir(os.path.join('..', 'notebook_format'))
from formats import load_style
load_style(plot_style=False)
os.chdir(path)
# 1. magic to print version
# ... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Document Authors
Step2: Document Contributors
Step3: Document Publication
Step4: Document Table of Contents
Step5: 1.2. Model Name
Step6: 1... | <ASSISTANT_TASK:>
Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'csir-csiro', 'vresm-1-0', 'ocnbgchem')
# Set as follows: DOC.set_author("name", "email")
# TODO - please enter value(s)
# Set as follows: DOC.set_contributor("na... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Classic
Step2: We don't actually have to use the full namespace call that is nx.generators.classic.complete_graph, everythin is under the nx mo... | <ASSISTANT_TASK:>
Python Code:
import networkx as nx
C = nx.generators.classic.complete_graph(5)
C.edges()
C = nx.complete_graph(5)
KC = nx.karate_club_graph()
KC.nodes(data=True)
DSW = nx.davis_southern_women_graph()
DSW.nodes()
ER = nx.gnp_random_graph(100,1.0/100)
ER.size()
ER2 =nx.gnm_random_graph(100,50)
ER2... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Зависимость времени и числа итераций от точности
Step2: Пример 2
Step3: Зависимость времени и числа итераций от точности
| <ASSISTANT_TASK:>
Python Code:
import liboptpy.constr_solvers as cs
import liboptpy.step_size as ss
import numpy as np
from tqdm import tqdm
n = 200
m = 100
A = np.random.randn(m, n)
x_true = np.random.rand(n)
b = A.dot(x_true) + 0.01 * np.random.randn(m)
eigvals = np.linalg.eigvalsh(A.T @ A)
L = np.max(eigvals)
import... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Build your model
Step2: Download the Data
Step3: Loading the Data
Step4: Now, let's take a look at the data to have a better understanding of... | <ASSISTANT_TASK:>
Python Code:
%pip install xgboost
import datetime
import os
import pandas as pd
import xgboost as xgb
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import FeatureUnion, make_pipeline
import warnings
w... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: To specify the experiments, define
Step2: Other parameters of the experiment
Step3: Load all data
Step4: Initialise the experiment
Step5: Se... | <ASSISTANT_TASK:>
Python Code:
import matplotlib.pyplot as plt
import numpy as np
from __future__ import division
from __future__ import print_function
import math
import gym
import pandas as pd
from gym import spaces
from sklearn import neural_network, model_selection
from sklearn.neural_network import MLPClassifier
f... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
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Python Code:
import pandas as pd
df = pd.DataFrame({'username': ['john', 'john', 'john', 'john', 'jane', 'jane', 'jane', 'jane'],
'post_id': [1, 2, 3, 4, 7, 8, 9, 10],
'views': [3, 23, 44, 82, 5, 25,46, 56]})
bins = [1, 10, 25, 50, 100]
def g(df, bins):
groups... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step2: First, we'll download the dataset to our local machine. The data consists of characters rendered in a variety of fonts on a 28x28 image. The lab... | <ASSISTANT_TASK:>
Python Code:
# These are all the modules we'll be using later. Make sure you can import them
# before proceeding further.
from __future__ import print_function
import matplotlib.pyplot as plt
import numpy as np
import os
import sys
import tarfile
from IPython.display import display, Image
from scipy i... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Import libraries
Step7: User-defined functions
Step8: Load dataset
Step9: Pre-processing data
Step10: Fix missing value
Step11: Standardize... | <ASSISTANT_TASK:>
Python Code:
from jyquickhelper import add_notebook_menu
add_notebook_menu()
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sb
%matplotlib inline
def remove_na_rows(df, cols=None):
remove row with NaN in any column
if cols is None:
... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Super resolution with TensorFlow Lite
Step2: Import dependencies.
Step3: Download and convert the ESRGAN model
Step4: Download a test image (... | <ASSISTANT_TASK:>
Python Code:
#@title Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: This failed when we provided input that could not be converted to an integer.
Step2: You can handle errors in anyway that might be appropriate ... | <ASSISTANT_TASK:>
Python Code:
n = int(input("Enter an integer: "))
print("Hello " * n)
try:
n = int(input("Enter an integer: "))
print("Hello " * n)
except ValueError:
print("That wasn't an integer!")
while True:
try:
n = int(input("Enter an integer: "))
print("Hello " * n)
br... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: This notebook presents <em style="color
Step2: The function make_string is a helper function that is used to simplify the implementation of __s... | <ASSISTANT_TASK:>
Python Code:
import graphviz as gv
class BinaryTrie:
sNodeCount = 0
def __init__(self):
BinaryTrie.sNodeCount += 1
self.mID = BinaryTrie.sNodeCount
def getID(self):
return self.mID # used only by graphviz
def _make_string(self, attributes):
... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Load the text8 dataset, a file of cleaned up Wikipedia articles from Matt Mahoney. The next cell will download the data set to the data folder. ... | <ASSISTANT_TASK:>
Python Code:
import time
import numpy as np
import tensorflow as tf
import utils
from urllib.request import urlretrieve
from os.path import isfile, isdir
from tqdm import tqdm
import zipfile
dataset_folder_path = 'data'
dataset_filename = 'text8.zip'
dataset_name = 'Text8 Dataset'
class DLProgress(tq... |
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Description:
Step1: Functions in the module accept the following arguments.
Step2: The first value (left) is the probability that the first classifier (the left co... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
scores = np.loadtxt('Data/accuracy_nbc_aode.csv', delimiter=',', skiprows=1, usecols=(1, 2))
names = ("NBC", "AODE")
import bayesiantests as bt
left, within, right = bt.signtest(scores, rope=0.01)
print(left, within, right)
left, within, right = bt.signtest(scores, ro... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: First we need to import the matplotlib library.
Step2: Matplotlib can output graphs using various backend graphics libraries, such as Tk, wxPyt... | <ASSISTANT_TASK:>
Python Code:
from __future__ import division, print_function, unicode_literals
import matplotlib
%matplotlib inline
# matplotlib.use("TKAgg") # use this instead in your program if you want to use Tk as your graphics backend.
import matplotlib.pyplot as plt
plt.plot([1, 2, 4, 9, 5, 3])
plt.show()
... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 1. Illustrate playing a pre-defined melody
Step2: 2. Play a piece of music
Step3: 3. Generate a tone of desired period and for a desired numbe... | <ASSISTANT_TASK:>
Python Code:
from pynq import Overlay
Overlay("base.bit").download()
from pynq.iop import Grove_Buzzer
from pynq.iop import PMODB
from pynq.iop import PMOD_GROVE_G1
grove_buzzer = Grove_Buzzer(PMODB, PMOD_GROVE_G1)
grove_buzzer.play_melody()
# Play a tone
tone_period = 1200
num_cycles = 500
grove_... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Portable Greymap ( .pgm) Format
Step2: Task breakdown
Step3: The following cell has left out some code where indicated - Fill them in!
Step4: ... | <ASSISTANT_TASK:>
Python Code:
import os
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
import sys
%matplotlib inline
Nx = 72
Ny = 72
img_x = np.linspace(1, 0, Nx)
img_y = np.linspace(1, 0, Ny)
X, Y = np.meshgrid(img_x, img_y)
# Generate the gradient image - this could be stored in .pgm ... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Initialize the components with cfg files that, for simplicity, use the same time step and run duration
Step2: Store initial values of time, sno... | <ASSISTANT_TASK:>
Python Code:
from cmt.components import Meteorology, SnowDegreeDay
met, sno = Meteorology(), SnowDegreeDay()
met.initialize('./input/meteorology-2.cfg')
sno.initialize('./input/snow_degree_day-2.cfg')
time = [met.get_current_time()]
snow_depth = [sno.get_value('snowpack__depth').max()]
air_temp = [m... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step2: Contour plots of 2d wavefunctions
Step3: The contour, contourf, pcolor and pcolormesh functions of Matplotlib can be used for effective visuali... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
def well2d(x, y, nx, ny, L=1.0):
Compute the 2d quantum well wave function.
# YOUR CODE HERE
s=2/L*np.sin((nx*np.pi*x)/L)*np.sin ((ny*np.pi*y)/L)
return s
psi = well2d(np.linspace(0,1,10), np.linspace(0... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Data Mining
Step2: Building Features
Step3: Adding New Columns for Features in Matches DataFrame
Step4: Visualizations for Features vs. Respo... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import numpy as np # imports a fast numerical programming library
import matplotlib.pyplot as plt #sets up plotting under plt
import pandas as pd #lets us handle data as dataframes
#sets up pandas table display
pd.set_option('display.width', 500)
pd.set_option('display... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Avant-propos
Step2: Il y a un rapport de 10 dans le temps d'exécution entre la méthode "user defined" et la méthode "builtin".
Step3: Le code... | <ASSISTANT_TASK:>
Python Code:
from jyquickhelper import add_notebook_menu
add_notebook_menu()
import pyensae.datasource
pyensae.datasource.download_data("twitter_for_network_100000.db.zip")
import numpy as np
def my_sum(l):
res = 0
for it in l:
res += it
return res
l = list(range(100000))
a = np.a... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: I am repeating myself here! Wouldn't it be better if we can write something once and use it multiple times?
Step2: Now I can write some code wh... | <ASSISTANT_TASK:>
Python Code:
a = 4
b = 8
c = 9
if a%2 == 0:
print('Multiple of 2')
else:
print('Not a multiple of 2')
if b%2 == 0:
print('Multiple of 2')
else:
print('Not a multiple of 2')
if c%2 == 0:
print('Multiple of 2')
else:
print('Not a multiple of 2')
# The def keyword is used to... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Data Analysis
Step2: We assign a shape of [None, 784], where 784 is the dimensionality of a single flattened 28 by 28 pixel MNIST image, and No... | <ASSISTANT_TASK:>
Python Code:
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)
import tensorflow as tf
x = tf.placeholder(tf.float32, shape=[None, 784])
y_ = tf.placeholder(tf.float32, shape=[None, 10])
x_image = tf.reshape(x, [-1,28,28,1])
de... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Plotting Methods
Step2: scikit-rf includes a convenient command to make nicer figures quick
Step3: Another common option is to draw admittance... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import skrf as rf
from skrf import Network
ring_slot = Network('data/ring slot.s2p')
ring_slot.plot_s_smith()
rf.stylely() # nicer looking. Can be configured with different styles
ring_slot.plot_s_smith()
ring_slot.plot_s_smith(draw_labels=True)
ring_slot.plot_s_smi... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Initiate experiment with this input file
Step2: Before we start to draw random realisations of the model, we should first store the base state ... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
# here the usual imports. If any of the imports fails,
# make sure that pynoddy is installed
# properly, ideally with 'python setup.py develop'
# or 'python setup.py install'
import sys, os
import matplotlib.pyplot as plt
import numpy as np
# adjust some settings for ... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step2: We just defined a JulianDay class that takes one argument of type string or binary, and returns a float.
Step 2
Step3: Interlude
Step4: Step 3... | <ASSISTANT_TASK:>
Python Code:
import ibis.expr.datatypes as dt
import ibis.expr.rules as rlz
from ibis.expr.operations import ValueOp
from ibis.expr.signature import Argument as Arg
class JulianDay(ValueOp):
arg = Arg(rlz.string)
output_type = rlz.shape_like('arg', 'float')
from ibis.expr.types import StringV... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Create Parametrized Model
Step2: Search for the Critical Boron Concentration
Step3: Finally, the openmc.search_for_keff function also provided... | <ASSISTANT_TASK:>
Python Code:
# Initialize third-party libraries and the OpenMC Python API
import matplotlib.pyplot as plt
import numpy as np
import openmc
import openmc.model
%matplotlib inline
# Create the model. `ppm_Boron` will be the parametric variable.
def build_model(ppm_Boron):
# Create the pin materials... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Load the data
Step2: Setup source space and compute forward
Step3: From here on, standard inverse imaging methods can be used!
Step4: Get an ... | <ASSISTANT_TASK:>
Python Code:
import os.path as op
import numpy as np
import mne
from mne.datasets import eegbci
from mne.datasets import fetch_fsaverage
# Download fsaverage files
fs_dir = fetch_fsaverage(verbose=True)
subjects_dir = op.dirname(fs_dir)
# The files live in:
subject = 'fsaverage'
trans = 'fsaverage' #... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The numpy.random module adds to the standard built-in Python random functions for generating efficiently whole arrays of sample values with many... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
samples = np.random.normal(size=(4,4))
samples
import random
N = 10000000
%timeit samples = [random.normalvariate(0,1) for i in range(N)]
import matplotlib.pyplot as plt
%matplotlib inline
#plt.plot(INSERT THE NAME OF THE VARIABLE CONTAINING THE PATH)
#plt.plot(INSE... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step2: Contour plots of 2d wavefunctions
Step3: The contour, contourf, pcolor and pcolormesh functions of Matplotlib can be used for effective visuali... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
def well2d(x, y, nx, ny, L=1.0):
Compute the 2d quantum well wave function.
return (2/L)*np.sin(nx * np.pi * x/L)*np.sin(ny * np.pi * y/L)
psi = well2d(np.linspace(0,1,10), np.linspace(0,1,10), 1, 1)
assert len... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Motivation and Discretizing
Step2: Running the Program
Step3: Checking the Forcing
Step4: The velocity field over time
Step5: Variations on ... | <ASSISTANT_TASK:>
Python Code:
# Import clusters
from scipy import sparse #Allows me to create sparse matrices (i.e. not store all of the zeros in the 'A' matrix)
import scipy.sparse.linalg as spla #To solve each time iteration, as my SOR code (below) grows exponentially when attempting to solve with negative values on... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: You can see it already has various tags identifying its structure (indeed enough to uniquely identify each gate)
Step2: The core object describ... | <ASSISTANT_TASK:>
Python Code:
V = circ.uni
V.graph(color=['U3', gate2], show_inds=True)
V.graph(color=[f'ROUND_{i}' for i in range(depth)], show_inds=True)
V.graph(color=[f'I{i}' for i in range(n)], show_inds=True)
# the hamiltonian
H = qu.ham_ising(n, jz=1.0, bx=0.7, cyclic=False)
# the propagator for the hamiltonia... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Les instructions SQL s'écrivent d'une manière qui ressemble à celle de phrases ordinaires en anglais. Cette ressemblance voulue vise à faciliter... | <ASSISTANT_TASK:>
Python Code:
from jyquickhelper import add_notebook_menu
add_notebook_menu()
import sqlite3
# on va se connecter à une base de données SQL vide
# SQLite stocke la BDD dans un simple fichier
filepath = "./DataBase.db"
open(filepath, 'w').close() #crée un fichier vide
CreateDataBase = sqlite3.connect(f... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The functions below take a short segment of data, do a zero-padded FFT (to do some extra smoothing), then find the largest peak above and below ... | <ASSISTANT_TASK:>
Python Code:
chan='L1:LSC-POP_A_RF9_I_ERR_DQ'
st=1162024217
dur=600
data=TimeSeries.fetch(chan,st,st+dur)
srate=data.sample_rate.value
twid=int(srate) # Length of short spectra
zpadsec=8 # Length (sec) for oversampled FFT
zpadwid=int(srate*zpadsec)
win1=sig.hann(twid)
def myfft(data,tt):
idx=int(... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: These are the imports from the Keras API. Note the long format which can hopefully be shortened in the future to e.g. from tf.keras.models impor... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import PIL
import tensorflow as tf
import numpy as np
import os
from tensorflow.python.keras.models import Model, Sequential
from tensorflow.python.keras.layers import Dense, Flatten, Dropout
from tensorflow.python.keras.applications imp... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Grab the <li> tags
Step2: Handling special dates with multiple accidents
Step3: But then there are also separate entries for each <li... | <ASSISTANT_TASK:>
Python Code:
base_url = "https://en.wikipedia.org"
index_ref = "/wiki/List_of_accidents_and_incidents_involving_commercial_aircraft"
index_html = urlopen(base_url + index_ref)
index = BeautifulSoup(index_html, "lxml")
result = index.find_all('li')
result[829]
result[830:834]
result[0].find('a').ge... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Check and set your environment
Step2: Let's reassign the $SPECPROD environment to something other than dailytest so that we don't conflict with... | <ASSISTANT_TASK:>
Python Code:
import os
import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
from astropy.table import Table
import desispec.io
import desisim.io
from desisim.obs import new_exposure
from desisim.scripts import quickgen
from desispec.scripts import group_spectra
%pylab inline
... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: # 텐서 만들기 및 조작
Step2: ## 벡터 덧셈
Step3: ### 텐서 형태
Step4: ### 브로드캐스팅
Step5: ## 행렬 곱셈
Step6: ## 텐서 형태 변경
Step7: 또한 tf.reshape를 사용하여 텐서의 차원 수(\'... | <ASSISTANT_TASK:>
Python Code:
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, sof... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: a. histogram
Step2: Different features have different ditributions.
| <ASSISTANT_TASK:>
Python Code:
import numpy as np
import os
from sklearn.manifold import TSNE
from common import Data
lld=Data('lld')
lld.load_training_data()
print 'training feature shape: ', lld.feature.shape
print 'training label shape: ', lld.label.shape
#lld.load_test_data()
#print 'test feature shape: ',lld.featu... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: <pre>
Step2: Example 2 - Number of commits pushed per repository
Step3: The Split-Apply-Combine Pattern
Step4: <img src="http
Step5: This
St... | <ASSISTANT_TASK:>
Python Code:
import os
import gzip
import ujson as json
directory = 'data/github_archive'
filename = '2015-01-29-16.json.gz'
path = os.path.join(directory, filename)
with gzip.open(path) as f:
events = [json.loads(line) for line in f]
#print json.dumps(events[0], indent=4)
new_repo_count = 0
... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Breaking it down...
Step2: For loops
Step3: One confusing aspect of this loop is range(1,4) why does this loop from 1 to 3? Why not 1 to 4? We... | <ASSISTANT_TASK:>
Python Code:
i = 1
while i <= 3:
print(i,"Mississippi...")
i=i+1
print("Blitz!")
## WARNING!!! INFINITE LOOP AHEAD
## IF YOU RUN THIS CODE YOU WILL NEED TO STOP OR RESTART THE KERNEL AFTER RUNNING THIS!!!
i = 1
while i <= 3:
print(i,"Mississippi...")
print("Blitz!")
for i in range(1,4):
... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Definition of variables
Step2: The Badness Index of each winter
Step3: There you have it! Some candidates for Worst Winter Ever can be determi... | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
# Read data, sort by year & month
dateparse = lambda x: pd.datetime.strptime(x, '%Y%m%d')
noaa_monthly = pd.read_csv('chicago-midway-noaa.csv', index_col=2,
parse_dates=True, date_parser=dateparse, na_values=-9999)
noaa_monthly = noaa_monthly... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Searching the database
Step2: We can get the number of returned records by looking at record["Count"]
Step3: But what are our records? We can ... | <ASSISTANT_TASK:>
Python Code:
import os
from Bio import Entrez, SeqIO
Entrez.email = "" # Use your own real email
Entrez.tool = "Biopython_get_GenBank_genomes.ipynb"
genus = "Pectobacterium"
query_text = "{0} AND bacteria[Organism]".format(genus)
handle = Entrez.esearch(db='genome', term=query_text)
record = Entrez.... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Document Authors
Step2: Document Contributors
Step3: Document Publication
Step4: Document Table of Contents
Step5: 1.2. Model Name
Step6: 2... | <ASSISTANT_TASK:>
Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'cams', 'cams-csm1-0', 'seaice')
# Set as follows: DOC.set_author("name", "email")
# TODO - please enter value(s)
# Set as follows: DOC.set_contributor("name", "e... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: This was developed using Python 3.5.2 (Anaconda) and TensorFlow version
Step2: Load Data
Step3: The MNIST data-set has now been loaded and con... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
from sklearn.metrics import confusion_matrix
tf.__version__
from tensorflow.examples.tutorials.mnist import input_data
data = input_data.read_data_sets("data/MNIST/", one_hot=True)
print("Size... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Load Corpus After Preprocessing ...
Step2: Basic & Advanced machine learning tools
Step4: What are the features?
Step5: Classification accura... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
import random
#Training Corpus
trn_corpus_after_preprocessing = pd.read_csv("output/trn_corpus_after_preprocessing.csv")
#Testing Corpus
tst_corpus_after_preprocessing = pd.rea... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: We will now ask the pygame library to load a .wav file into memory and make it into a sound, ready to play.
Step2: The play() method of the dru... | <ASSISTANT_TASK:>
Python Code:
import pygame.mixer
pygame.mixer.init()
drum = pygame.mixer.Sound("/opt/sonic-pi/etc/samples/drum_tom_mid_hard.wav")
drum.play()
def play():
print("Drums !")
drum.play()
play()
#load GPIO library
import RPi.GPIO as GPIO
#Set BCM (Broadcom) mode for the pin numbering
GPIO.setmo... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: First we create a training set of size n_samples containing n_features each.
Step2: Next we run a performance test on the created data set. The... | <ASSISTANT_TASK:>
Python Code:
# imports
from sklearn.datasets import make_classification
from sklearn.ensemble import RandomForestClassifier
from timeit import default_timer as timer
import matplotlib.pyplot as plt
n_samples = 200000
n_features = 20
X, y = make_classification(n_samples=n_samples, n_features=n_feature... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Example 1
Step2: Passing datetime.datetime
Step3: Example 2
Step4: Therefore, according to Brazilian epiweek system, it should fall on the la... | <ASSISTANT_TASK:>
Python Code:
from episem import episem
d = '2010-10-01'
episem(d)
episem(d,out='W')
import datetime
datetime.datetime.strptime(d, '%Y-%m-%d')
dt = datetime.datetime.strptime(d, '%Y-%m-%d')
episem(dt)
dt2 = datetime.datetime.strptime('2016-01-01', '%Y-%m-%d')
dt2.isoweekday()
episem(dt2)
dt3 = dat... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: as compounds
Step2: and as mixtures of compounds
Step3: These materials can be used in a particular geometry (currently only flat multi-layere... | <ASSISTANT_TASK:>
Python Code:
from spectrocrunch.materials import element
element1 = element.Element("Ca")
print(element1)
from spectrocrunch.materials import compoundfromformula
from spectrocrunch.materials import compoundfromname
from spectrocrunch.materials import compoundfromlist
from spectrocrunch.materials impo... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Damped, driven nonlinear pendulum
Step4: Write a function derivs for usage with scipy.integrate.odeint that computes the derivatives for the da... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
from scipy.integrate import odeint
from IPython.html.widgets import interact, fixed
g = 9.81 # m/s^2
l = 0.5 # length of pendulum, in meters
tmax = 50. # seconds
t = np.linspace(0, tmax, int(... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Check out the Data
Step2: EDA-Exploratory Data Analysis
Step3: Training a Linear Regression Model
Step4: Train Test Split
Step5: Creating an... | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
USAhousing = pd.read_csv('USA_Housing.csv')
USAhousing.head()
USAhousing.info()
USAhousing.describe()
USAhousing.columns
sns.set_style('darkgrid')
sns.pairplot(USAhousing)
sns... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Mesh generation by Transfinite Interpolation applied to the sea dike problem
Step2: Unfortunately, the TFI is defined on the unit square, so we... | <ASSISTANT_TASK:>
Python Code:
# Execute this cell to load the notebook's style sheet, then ignore it
from IPython.core.display import HTML
css_file = '../style/custom.css'
HTML(open(css_file, "r").read())
# Import Libraries
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
# Here, I introduce a ne... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The second method defined fits a polynomial curve to the data points and then plots it. Here we will try a 1, 2, and 3, degree polynomial.
Step2... | <ASSISTANT_TASK:>
Python Code:
p_data = p1.retrieve_pendulum_data()
plt.plot(p_data[0],p_data[1],'go')
plt.show()
p_data = p1.retrieve_pendulum_data()
fit1 = p1.pendulum_fit(p_data[0],p_data[1],1)
plt.plot(fit1[0],fit1[1],'y')
fit2 = p1.pendulum_fit(p_data[0],p_data[1],2)
plt.plot(fit2[0],fit2[1],'b')
fit3 = p1.pendul... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Create an empty dictionary and for each variable whose absolute value of correlation coefficient with the heating space energy consumption is gr... | <ASSISTANT_TASK:>
Python Code:
import csv
file = open('public_layout.csv','r')
reader = csv.reader(file, delimiter=',')
fullcsv = list(reader)
dic_1=dict()
print(dic_1)
for i in range(801):
data = np.genfromtxt('recs2009_public.csv',delimiter=',',skip_header=1,usecols=(i,908))
coef = np.corrcoef(data[:,0],data... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step3: <img src="https
Step4: 3 - Launching IJulia
Step5: And now, you should see a IJulia notebook starting next to this IPython Notebook
Step6: 5 ... | <ASSISTANT_TASK:>
Python Code:
import os
import sys
import io
# downloading julia (32Mo, may take 1 minute or 2)
try:
import urllib.request as urllib2 # Python 3
except:
import urllib2 # Python 2
if 'amd64' in sys.version.lower():
julia_binary="julia-0.3.7-win64.exe"
julia_url="http://s3.amazonaws.com... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
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Python Code:
from scipy.optimize import curve_fit
import numpy as np
s = '''1.000000000000000021e-03,2.794682735905079767e+02
4.000000000000000083e-03,2.757183469104809888e+02
1.400000000000000029e-02,2.791403179603880176e+02
2.099999999999999784e-02,1.781413355804160119e+02
3.300000000000000155e-02,-... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Notice the line that starts with %. This is a 'magic command' specific to Jupyter. It ensures that images will be plotted inline, instead of pop... | <ASSISTANT_TASK:>
Python Code:
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import sklearn
import qutip
from skimage import io
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from ... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Datentypen
Step2: Aktionen
Step3: Variablen, Vergleiche und Zuordnungen von Variablen
Step4: if - else - (elif)
Step5: Lists
Step6: Diction... | <ASSISTANT_TASK:>
Python Code:
#Mit einem Hashtag vor einer Zeile können wir Code kommentieren, auch das ist sehr wichtig.
#Immer, wirklich, immer den eigenen Code zu kommentieren. Vor allem am Anfang.
print('hello world')
#Der Printbefehl druckt einfach alles aus. Nicht wirklich wahnsinnig toll.
#Doch er ist später... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: let's explore the dataset.
Step2: in the train data we have 20 time series each of 210 data points. Notice that all the lines are compact and f... | <ASSISTANT_TASK:>
Python Code:
import h2o
from h2o.estimators.deeplearning import H2OAutoEncoderEstimator
h2o.init()
%matplotlib inline
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
import os.path
PATH = os.path.expanduser("~/h2o-3/")
train_ecg = h2o.import_file(PATH + "smalldata/anomaly/ecg_disc... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Porównanie z próbkowaniem "ręcznym"
Step2: Dobrze
Step3: Z jest row major więc można też napisać
Step4: mgrid
Step5: Zresztą sprawdzmy
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Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
nx = 11
ny = 5
x1,y1 = 1,2
X,Y = np.meshgrid(np.linspace(0,x1,nx),np.linspace(0,y1,ny))
X.shape
f = lambda X_,Y_:np.sin(X_**2+Y_**2)
Z = f(X,Y)
plt.contourf(X,Y,Z)
# To samo co:
# plt.contourf(X.T,Y.T,Z.T)
plt.imshow(Z,... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 1.4 Jeux de Nim
Step3: On va d'abord écrire une fonction toute simple qui affiche une configuration, en mode texte.
Step4: On peut définir et ... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import numpy.random as random
import matplotlib.pyplot as plt
a = [1, 3, 5]
def print_nim(configuration):
Affiche une configuration, donnée sous forme d'une liste d'entiers.
for i, nb in enumerate(configuration):
print(i, ':', '! ' * nb)
print_nim(a... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Patterns
Step2: translate
Step3: rotate
Step4: We can choose any point of rotation so let's also do this about the center.
Step5: scale
Step... | <ASSISTANT_TASK:>
Python Code:
import dphox as dp
import numpy as np
import holoviews as hv
hv.extension('bokeh')
pi = dp.text(r"$\pi$")
pi.port['p'] = dp.Port(3, 1)
pi.hvplot().opts(title='pi')
pi1 = pi.copy.translate() # no translation
pi2 = pi.copy.translate(10) # translation by 10
pi3 = pi.copy.translate(10, 1... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: <a id="ref1"></a>
Step2: define the class with the Tanh activation function
Step3: define the class for the Relu activation function
Step4: d... | <ASSISTANT_TASK:>
Python Code:
!conda install -y torchvision
import torch
import torch.nn as nn
import torchvision.transforms as transforms
import torchvision.datasets as dsets
import torch.nn.functional as F
import matplotlib.pylab as plt
import numpy as np
torch.manual_seed(2)
class Net(nn.Module):
def __init__... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Plotting the open price
Step2: Plotting the volume traded
Step3: Finding the timestamp of highest traded volume
Step4: Creating 'Total Traded... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import pandas as pd
from datetime import datetime
import matplotlib.pyplot as plt
%matplotlib inline
tesla = pd.read_csv('Tesla_Stock.csv', parse_dates= True, index_col='Date')
tesla.head()
ford = pd.read_csv('Ford_Stock.csv', parse_dates= True, index_col='Date')
ford... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: lmplot()
Step2: Working with Markers
Step3: Using a Grid
Step4: Aspect and Size
| <ASSISTANT_TASK:>
Python Code:
import seaborn as sns
%matplotlib inline
tips = sns.load_dataset('tips')
tips.head()
sns.lmplot(x='total_bill',y='tip',data=tips)
sns.lmplot(x='total_bill',y='tip',data=tips,hue='sex')
sns.lmplot(x='total_bill',y='tip',data=tips,hue='sex',palette='coolwarm')
# http://matplotlib.org/api/... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: We need to import some libraries
Step2: Open up the input image
Step3: ...and let's take a look at it
Step4: Next we'll dive straight in and ... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import numpy as np # for array manipulation and the fft
import pylab as pl # for plotting
import cv2 # for image file handling
cat = cv2.imread('./FIGURES/cat1.jpg',0)
pl.imshow(cat,cmap='gray')
pl.show()
cat_squiggle = np.fft.fft2(cat)
cat_squiggle_sh... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The data is too big to determine exactly what columns are usable for our analysis (137 columns with over 150,000 records. Kaggle did provide a d... | <ASSISTANT_TASK:>
Python Code:
# standard libraries
import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
import numpy as np
# for Bayesian analysis
import pymc3 as pm
# cleaning up the notebook
import warnings
warnings.filterwarnings('ignore')
df = pd.read_csv('../../../Data/globalterrorismdb_... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Load house value vs. crime rate data
Step2: Exploring the data
Step3: Fit the regression model using crime as the feature
Step4: Let's see wh... | <ASSISTANT_TASK:>
Python Code:
import pandas as pa
import matplotlib.pyplot as plt
import numpy as np
from sklearn import linear_model
regressionDir = '/home/weenkus/workspace/Machine Learning - University of Washington/Regression'
sales = pa.read_csv(regressionDir + '/datasets/Philadelphia_Crime_Rate_noNA.csv')
sales... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Replace by your GCP project and bucket
Step2: Loading the dataset in GCS
Step3: It has very specialized language such as
Step4: and for gcs-... | <ASSISTANT_TASK:>
Python Code:
!pip freeze | grep tensorflow-hub==0.7.0 || pip install tensorflow-hub==0.7.0
import os
import tensorflow as tf
import tensorflow_hub as hub
PROJECT = "your-gcp-project-here" # REPLACE WITH YOUR PROJECT NAME
BUCKET = "your-gcp-bucket-here" # REPLACE WITH YOUR BUCKET NAME
os.environ["PROJ... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step2: Using interact for animation with data
Step3: To create an animation of a soliton propagating in time, we are going to precompute the soliton d... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
from matplotlib import pyplot as plt
import numpy as np
from IPython.html.widgets import interact, interactive, fixed
from IPython.display import display
def soliton(x, t, c, a):
Return phi(x, t) for a soliton wave with constants c and a.
return 0.5*c*(1/(np.co... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Firstly we will calculate the features required to characterise the pointcloud.
Step2: Next we can get training as a numpy array for creating o... | <ASSISTANT_TASK:>
Python Code:
from geospatial_learn import learning as ln
incloud = "/path/to/Llandinam.ply"
ln.ply_features(incloud)
training = ln.get_training_ply(incld)
model = 'path/to/model.h5'
ln.create_model(training, model, clf='keras', cv=5)
classify_ply(incloud, model, train_field="training", class_field... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Given that we will perform some numerical integrations with this function below, we expand it onto a grid appropriate for integration by Gauss-L... | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
from __future__ import print_function # only necessary if using Python 2.x
import matplotlib.pyplot as plt
import numpy as np
from pyshtools.shclasses import SHCoeffs, SHGrid, SHWindow
lmax = 100
coeffs = SHCoeffs.from_zeros(lmax)
coeffs.set_coeffs(values=[1], ls=[5], m... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Loading a dataset
Step2: Generating layers
Step3: The Deep Residual Network
Step4: The model is a collection of resnet modules between an inp... | <ASSISTANT_TASK:>
Python Code:
# Start by generating the backend:
from neon.backends import gen_backend
be = gen_backend(backend='gpu',
batch_size=128)
from neon.data.aeon_shim import AeonDataLoader
from neon.data.dataloader_transformers import OneHot, TypeCast, BGRMeanSubtract
import num... |
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Description:
Step1: Similarly, the rate parameters can automatically be given exponential priors
Step3: Decorator
Step4: Note that this is a simple Python functio... | <ASSISTANT_TASK:>
Python Code:
import pymc as pm
import numpy as np
from pymc.examples import disaster_model
switchpoint = pm.DiscreteUniform('switchpoint', lower=0, upper=110)
early_mean = pm.Exponential('early_mean', beta=1., value=1)
late_mean = pm.Exponential('late_mean', beta=1., value=1)
@pm.stochastic
def swit... |
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Description:
Step1: Document Authors
Step2: Document Contributors
Step3: Document Publication
Step4: Document Table of Contents
Step5: 1.2. Model Name
Step6: 1... | <ASSISTANT_TASK:>
Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'nerc', 'hadgem3-gc31-hm', 'ocean')
# Set as follows: DOC.set_author("name", "email")
# TODO - please enter value(s)
# Set as follows: DOC.set_contributor("name",... |
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Description:
Step1: Image Classification
Step2: Explore the Data
Step5: Implement Preprocess Functions
Step8: One-hot encode
Step10: Randomize Data
Step12: Che... | <ASSISTANT_TASK:>
Python Code:
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
from urllib.request import urlretrieve
from os.path import isfile, isdir
from tqdm import tqdm
import problem_unittests as tests
import tarfile
cifar10_dataset_folder_path = 'cifar-10-batches-py'
# Use Floyd's cifar-10 dataset if ... |
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Description:
Step1: Looks good! Now we import transformers and download the scripts run_benchmark.py, run_benchmark_tf.py, and plot_csv_file.py which can be found u... | <ASSISTANT_TASK:>
Python Code:
#@title Check available memory of GPU
# Check that we are using 100% of GPU
# memory footprint support libraries/code
!ln -sf /opt/bin/nvidia-smi /usr/bin/nvidia-smi
!pip -q install gputil
!pip -q install psutil
!pip -q install humanize
import psutil
import humanize
import os
import GPUti... |
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Description:
Step1: Step 1
Step2: Check that we can store objects of different types in a dictionary
Step3: Yay - seems to work just fine!
Step 2
Step4: Step 2.2... | <ASSISTANT_TASK:>
Python Code:
# Setup
%matplotlib inline
import matplotlib.pyplot as plt
from sklearn.datasets import load_iris
from sklearn.cross_validation import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix
from sklearn.datasets import load_iris
f... |
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Description:
Step1: Then we can display the final result
Step2: Sawtooth Signal
Step3: Then, to display
Step4: Interactive mode
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Python Code:
import pedsp.oscillator as oscillator
import pedsp.algorithm as algorithm
import matplotlib.pyplot as plt
import numpy as np
amplitude = 1.;
sample_rate = 8000;
frequency = 5;
duration_secs = 2;
samples = int(duration_secs * sample_rate);
duty = 0.5;
square = oscillator.Square(amp=amplit... |
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Description:
Step1: Let's open a file that contains a mover and lot's of changes
Step2: A Simulator creates simulation steps. So we load a single step.
Step3: Eac... | <ASSISTANT_TASK:>
Python Code:
import openpathsampling as p
st = p.storage.Storage('_toy_retis.nc', mode='r')
mc = st.steps[3]
print mc
pmc = mc.change
print pmc
pm = pmc.mover
print pm.treeprint()
pmc in pm
ow_mover = p.OneWayShootingMover([], []) # we use dummy arguments since are not going to use it
list(ow_m... |
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Description:
Step1: 1. User-Specified Input
Step3: <div class=hw>
Step4: 2.2 Concatenating strings
Step5: 2.3 Multiple Concatenations
Step6: 2.4 Comparing Strin... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import astropy.units as u
faren = input("enter a temperature (in Fahrenheit): ")
print(faren)
print("green eggs and\n spam")
# Triple quotes are another way to specify multi-line strings
y = For score and seven minutes ago,
you folks all learned some basic mathy s... |
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Description:
Step1: Configurations
Step3: Data encoding
Step4: Test
Step5: Load data set
Step6: Define Batch Generator
Step7: Check the generator
Step8: Defin... | <ASSISTANT_TASK:>
Python Code:
import tensorflow as tf
import numpy as np
import random
import os
vocab = (" $%'()+,-./0123456789:;=?ABCDEFGHIJKLMNOPQRSTUVWXYZ"
"\\^_abcdefghijklmnopqrstuvwxyz{|}\n")
graph_path = r"./graphs"
test_text_path = os.path.normpath(r"../Dataset/arvix_abstracts.txt")
batch_size=50... |
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Description:
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Python Code:
import pandas as pd
import numpy as np
series = pd.Series([np.array([1,2,3,4]), np.array([5,6,7,8]), np.array([9,10,11,12])], index=['file1', 'file2', 'file3'])
def g(s):
return pd.DataFrame.from_records(s.values,index=s.index).reset_index().rename(columns={'index': 'name'})
df = g(se... |
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Description:
Step1: Here's the image, admittedly its small
Step2: Here's the new image
Step3: To write a binary file you first need to convert binary data to uint... | <ASSISTANT_TASK:>
Python Code:
#For data manipulations
%pylab inline
from IPython.display import set_matplotlib_formats
from io import BytesIO
import numpy as np
#to compare to scipy's builtin conversions
from scipy.misc import imsave, toimage
#import pillow
from PIL import Image
set_cmap('Greys')
checkerboard = np.mod... |
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Description:
Step1: Take for example an ideal low-pass filter, which would give a magnitude
Step2: This filter hypothetically achieves zero ripple in the frequency... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
from scipy import signal, fftpack
import matplotlib.pyplot as plt
from mne.time_frequency.tfr import morlet
from mne.viz import plot_filter, plot_ideal_filter
import mne
sfreq = 1000.
f_p = 40.
flim = (1., sfreq / 2.) # limits for plotting
nyq = sfreq / 2. # the Nyqu... |
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Description:
Step1: We have provided three images containing stars, taken with 3 different CCDs, in "stars_X.npz" where X = 0, 1, 2.
Step2: Just to make sure that ... | <ASSISTANT_TASK:>
Python Code:
import os
import numpy as np
import matplotlib.pyplot as plt
from rhlUtils import BBox, CCD, Image, imshow
%matplotlib notebook
%config InlineBackend.figure_format = 'retina'
#%matplotlib qt
#%gui qt
dataDir = # complete
mag0 = 33 # Magnitude of an object with 1 detected photon
data =... |
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Description:
Step1: Loading the problem and the loop
Step2: Now we define the domain of the function to optimize.
Step3: And prepare the optimization object to ru... | <ASSISTANT_TASK:>
Python Code:
from emukit.test_functions import branin_function
from emukit.core import ParameterSpace, ContinuousParameter, DiscreteParameter
from emukit.core.initial_designs import RandomDesign
from GPy.models import GPRegression
from emukit.model_wrappers import GPyModelWrapper
from emukit.bayesian_... |
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Description:
Step1: 1. Probabilistički grafički modeli -- Bayesove mreže
Step2: Q
Step3: Q
Step4: Q
Step5: (a)
Step6: Prvo, prilažemo kôd koji to radi "standar... | <ASSISTANT_TASK:>
Python Code:
# Učitaj osnovne biblioteke...
import sklearn
import codecs
import mlutils
import matplotlib.pyplot as plt
import pgmpy as pgm
%pylab inline
from pgmpy.models import BayesianModel
from pgmpy.factors.discrete.CPD import TabularCPD
from pgmpy.inference import VariableElimination
model = Ba... |
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Description:
Step1: Document Authors
Step2: Document Contributors
Step3: Document Publication
Step4: Document Table of Contents
Step5: 1.2. Model Name
Step6: 1... | <ASSISTANT_TASK:>
Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'ncc', 'noresm2-mm', 'ocean')
# Set as follows: DOC.set_author("name", "email")
# TODO - please enter value(s)
# Set as follows: DOC.set_contributor("name", "emai... |
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Description:
Step1: Let us make sure that the artifact store exists
Step2: Creating the KFP CLI builder for Vertex AI
Step3: Build the image and push it to your p... | <ASSISTANT_TASK:>
Python Code:
PROJECT_ID = !(gcloud config get-value project)
PROJECT_ID = PROJECT_ID[0]
REGION = "us-central1"
ARTIFACT_STORE = f"gs://{PROJECT_ID}-kfp-artifact-store"
!gsutil ls | grep ^{ARTIFACT_STORE}/$ || gsutil mb -l {REGION} {ARTIFACT_STORE}
!cat kfp-cli_vertex/Dockerfile
KFP_CLI_IMAGE_NAME =... |
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Description:
Step1: Now I will create an object that knows how to deal with Martian times and illuminations.
Step2: I saved some predefined places and their locati... | <ASSISTANT_TASK:>
Python Code:
from pymars import kmaspice
inca = kmaspice.MarsSpicer()
inca.goto('inca')
inca.time.isoformat()
round(inca.l_s, 1)
inca.local_soltime
round(inca.illum_angles.dsolar,1)
inca.advance_time_by(7*3600)
round(inca.illum_angles.dsolar)
inca.advance_time_by(-7*3600)
times = []
angles = ... |
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Description:
Step3: 1a. Make an array of Fourier frequencies
Step7: Now the T&K algorithm. I've transcribed the 'recipe' section of the T&K95 paper, which you will... | <ASSISTANT_TASK:>
Python Code:
n_bins = 8192 ## number of total frequency bins in a FT segment; same as number of time bins in the light curve
dt = 1./16. # time resolution of the output light curve
df = 1. / dt / n_bins
def lorentzian(v, v_0, gamma):
Gives a Lorentzian centered on v_0 with a FWHM of gamma
... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 2. Plot chan1 as in resample2.ipynb, and add vancouver and portland points with a line between them
Step2: What is the distance between Vancouv... | <ASSISTANT_TASK:>
Python Code:
import h5py
from a301utils.a301_readfile import download
from mpl_toolkits.basemap import Basemap
from matplotlib import pyplot as plt
import json
import numpy as np
rad_file=' MYD021KM.A2016217.1915.006.2016218155919.h5'
geom_file='MYD03.A2016217.1915.006.2016218154759.h5'
download(rad_f... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Sample dataset
Step2: Exercise. What does this code do?
Step3: Sparse matrix storage
Step4: Exercise. What does the following code do?
Step5:... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import pandas as pd
from IPython.display import display
edges = pd.read_csv ('UserEdges-1M.csv')
display (edges.head ())
V_names = set (edges.Source)
V_names.update (set (edges.Target))
m = len (edges)
n = len (V_names)
print ("==> |V| == %d, |E| == %d" % (n, m))
imp... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Inside the notebook, the state will automatically display the values of the key variables
Step2: Adding a label to the state for output purpose... | <ASSISTANT_TASK:>
Python Code:
from r3d2 import eos_defns, State
eos = eos_defns.eos_gamma_law(5.0/3.0)
U = State(1.0, 0.1, 0.0, 2.0, eos)
U
U2 = State(10.0, -0.3, 0.1, 5.0, eos, label="L")
U2
q_available = 0.1
t_ignition = 10.0
Cv = 1.0
eos_reactive = eos_defns.eos_gamma_law_react(5.0/3.0, q_available, Cv, t_igniti... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Numerical Features
Step2: The housing price correlates strongly with OverallQual, GrLivArea(GarageCars), GargeArea, TotalBsmtSF, 1stFlrSF, Full... | <ASSISTANT_TASK:>
Python Code:
# This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd #... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Loading and visualizing the input data
Step2: Plotting the diffraction profile
Step3: The profile showed above is highly smoothed and the hkl ... | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from ImageD11.columnfile import columnfile
from ImageD11 import weighted_kde as wkde
%matplotlib inline
plt.rcParams['figure.figsize'] = (6,4)
plt.rcParams['figure.dpi'] = 150
plt.rcParams['mathtext.fontset'] = 'c... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Hub with Keras
Step2: ImageNet 分類器
Step3: 単一の画像で実行する
Step4: バッチ次元を一つ追加し、画像をモデルに渡してください。
Step5: 結果は 1001 の要素をもつロジットベクトルで、画像がそれぞれのクラスに属する確率を表し... | <ASSISTANT_TASK:>
Python Code:
#@title Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... |
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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step5: WARNING
Step6: Outputs
Step8: General markdown
Step10: Headers aren't recognized by (Pandoc on Windows?) if there isn't a blank line above th... | <ASSISTANT_TASK:>
Python Code:
from IPython.nbconvert.utils.pandoc import pandoc
from IPython.display import HTML, Javascript, display
from IPython.nbconvert.filters import citation2latex, strip_files_prefix, \
markdown2html, markdown2latex
def pandoc_render(markdown):
Render Pa... |
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