Unnamed: 0 int64 0 15.9k | cleaned_code stringlengths 67 124k ⌀ | cleaned_prompt stringlengths 168 30.3k ⌀ |
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5,300 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
from matplotlib import pyplot as plt
%matplotlib inline
# Set some parameters to apply to all plots. These can be overridden
import matplotlib
# Plot size to 14" x 7"
matplotlib.rc('figure', figsize = (14, 7))
# Font size to 14
matplotlib.rc('font', size = 14)
# Do not... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 2. Read Data
Step2: 2.2 Global Temperature Anomalies
Step3: 2.3 Merge CO2 and GTA into one dataframe
Step4: 3. Visualize CO2 and GTA in one f... |
5,301 | <ASSISTANT_TASK:>
Python Code:
from functions import connect, forward, backward, stop, left, right, disconnect
from time import sleep
robot = 12 # canvieu pel número del vostre robot
connect(robot) # i executeu, polsant Majúscules + Enter
forward()
sleep(1)
stop()
backward()
sleep(1)
stop()
left()
sleep(1)
sto... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Cap avant
Step2: Cap arrere
Step3: Esquerra
Step4: Dreta
Step5: Tot correcte? Fàcil, no? Anem a comprovar-ho amb el primer exercici, però ab... |
5,302 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import matplotlib.pyplot as mpl
%matplotlib inline
# just for presentation purposes
import warnings
warnings.filterwarnings("ignore")
%%bash
pip install pycupid
from astropy.io import fits
hdulist = fits.open('FITS/ALMA00000034.fits')
hdulist.info()
print('\nTarget Ob... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Installing PyCupid is as easy as
Step2: We load an Orion-KL FITS from ALMA SV with astropy
Step3: Let's import PyCupid for doing some serious ... |
5,303 | <ASSISTANT_TASK:>
Python Code:
ht_samples = hl.import_table(
"gs://hail-datasets-tmp/1000_Genomes_NYGC_30x/1000_Genomes_NYGC_30x_samples_ped_population.txt.bgz",
delimiter="\s+",
impute=True
)
ht_samples = ht_samples.annotate(
FatherID = hl.if_else(ht_samples.FatherID == "0",
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Phased genotypes
Step2: ChrX (phased)
Step3: Unphased genotypes
Step4: Separate biallelic and multiallelic variants, split multiallelic varia... |
5,304 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import re
df = pd.read_csv('data_tau_ta.csv')
df.head()
df.shape
import nltk
from nltk.corpus import stopwords
stop = stopwords.words('english')
stop.extend(('.', ',', '"', "'", '?', '!', ':', ';', '(', ')', '[', ']', '{', '}','/','-'))
tokens_list = df['tokens'].tolis... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Term Frequency and Inverse Document Frequency
Step2: Let us get in how many documents (each title) does the word occur
Step3: Let us compute t... |
5,305 | <ASSISTANT_TASK:>
Python Code:
import ICO
import os
import pandas as pd
import time
data = ICO.Data(os.getcwd()+'/data/')
start = time.time()
data["all_encounter_data"]
print(time.time() - start)
data["all_encounter_data"].describe(include='all')
data["all_encounter_data"].columns.values
data['all_encounter_data'].sh... | <SYSTEM_TASK:>
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 object is initialized with the path to the directory of .pickle files. On creation it reads in the pickle files, but does not transform... |
5,306 | <ASSISTANT_TASK:>
Python Code:
import os
from datetime import timedelta
import mne
sample_data_folder = mne.datasets.sample.data_path()
sample_data_raw_file = os.path.join(sample_data_folder, 'MEG', 'sample',
'sample_audvis_raw.fif')
raw = mne.io.read_raw_fif(sample_data_raw_file, ve... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1:
Step2: Notice that orig_time is None, because we haven't specified it. In
Step3: Since the example data comes from a Neuromag system that sta... |
5,307 | <ASSISTANT_TASK:>
Python Code:
# INITIAL DEFINITIONS
from pyKRR import KRRsolver # import our KRR solver object
import numpy, random
import numpy, math, random
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from scipy.sparse import load_npz
# TYPE is the descriptor type
TYPE = "cnt"
#show des... | <SYSTEM_TASK:>
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 pick a descriptor. Allowed types are
Step2: and load the databases with the descriptors (input) and the correct charge densities (output)... |
5,308 | <ASSISTANT_TASK:>
Python Code:
## Solution 1.
import numpy as np
A = np.array([[0, 0, 1, 0, 0, 1, 0, 0], #A
[0, 0, 0, 0, 1, 0, 0, 1], #B
[1, 0, 0, 1, 0, 1, 0, 0], #C
[0, 0, 1, 0, 1, 0, 1, 0], #D
[0, 1, 0, 1, 0, 0, 0, 1], #E
[1, 0, 1, 0, 0, 0, 1, 0], ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Q2.
Step2: Q3.
Step3: Q4
|
5,309 | <ASSISTANT_TASK:>
Python Code:
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import matplotlib.pyplot as plt
import numpy as np
import xarray as xr
import metpy.calc as mpcalc
from metpy.cbook import get_test_data
from metpy.plots import add_metpy_logo, add_timestamp
from metpy.units import units
data ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Getting the data
Step2: We will reduce the dimensionality of the data as it is pulled in to remove an empty time
Step3: To properly interpolat... |
5,310 | <ASSISTANT_TASK:>
Python Code:
# Authors: Martin Billinger <martin.billinger@tugraz.at>
#
# License: BSD (3-clause)
import numpy as np
import matplotlib.pyplot as plt
from sklearn.pipeline import Pipeline
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.model_selection import ShuffleSpl... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Classification with linear discrimant analysis
Step2: Look at performance over time
|
5,311 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import sys
import y4m
import matplotlib.pyplot as plt
import numpy as np
def decode_y4m_buffer(frame):
W, H = frame.headers['W'], frame.headers['H']
Wdiv2, Hdiv2 = W // 2, H // 2
C, buf = frame.headers['C'], frame.buffer
A, Adiv2, div2 = W * H, Hdiv2 * W... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The DCT Domain
Step2: Back to the Pixel Domain
Step3: Subsampling Time
Step4: Comparing with spatial domain subsampling
|
5,312 | <ASSISTANT_TASK:>
Python Code:
from itertools import combinations, chain
def simplex_closure(a):
Returns the generator that iterating over all subsimplices (of all dimensions) in the closure
of the simplex a. The simplex a is also included.
return chain.from_iterable([combinations(a, l) for l in ra... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step8: Extending values on vertices to a discrete gradient vector field
Step9: Let us test the above function on the simple example
Step12: Now let u... |
5,313 | <ASSISTANT_TASK:>
Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'niwa', 'sandbox-1', 'aerosol')
# Set as follows: DOC.set_author("name", "email")
# TODO - please enter value(s)
# Set as follows: DOC.set_contributor("name", "em... | <SYSTEM_TASK:>
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... |
5,314 | <ASSISTANT_TASK:>
Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'noaa-gfdl', 'gfdl-esm2m', 'aerosol')
# Set as follows: DOC.set_author("name", "email")
# TODO - please enter value(s)
# Set as follows: DOC.set_contributor("name... | <SYSTEM_TASK:>
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... |
5,315 | <ASSISTANT_TASK:>
Python Code:
# At first ensure connexion is installed
# together with the swagger module used to render the OAS3 spec
# in the web-ui
!pip install connexion[swagger-ui] connexion
# A request on a generic PATH on the server returns a
# nicely formatted and explicative error.
# Remember that we haven... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Now run the spec in a terminal using
Step2: Defining endpoints in OAS3
Step3: Solution on the unimplemented method
Step4: Exercise
|
5,316 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
from sksurv.datasets import load_breast_cancer
from sksurv.linear_model import CoxPHSurvivalAnalysis, CoxnetSurvivalAnalysis
from sksurv.preprocessing import OneHotEncoder
from sklearn.model_selectio... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: To demonstrate the use of penalized Cox models we are going to use the breast cancer data, which contains the expression levels of 76 genes, age... |
5,317 | <ASSISTANT_TASK:>
Python Code:
import ROOT
%jsroot on
f = ROOT.TFile.Open("mc_105986.ZZ.root")
#f = ROOT.TFile.Open("mc_147770.Zee.root")
#f = ROOT.TFile.Open("http://opendata.atlas.cern/release/samples/MC/mc_147770.Zee.root")
canvas = ROOT.TCanvas("Canvas","c",800,600)
tree = f.Get("mini")
hist = ROOT.TH1F("varia... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: In order to activate the interactive visualisation of the histogram that is later created we can use the JSROOT magic
Step2: Next we have to op... |
5,318 | <ASSISTANT_TASK:>
Python Code:
%load_ext autoreload
%autoreload 2
import warnings
import pandas as pd
import numpy as np
import os
import sys # error msg, add the modules
import operator # sorting
from math import *
import matplotlib.pyplot as plt
sys.path.append('../../')
import cuda_timeline
import read_trace
import ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: gpu info
Step2: Understand the input
Step3: Kernel Info from the single stream
Step4: model 3 cuda streams
Step5: start kernel from beginnin... |
5,319 | <ASSISTANT_TASK:>
Python Code:
# If you want the figures to appear in the notebook,
# and you want to interact with them, use
# %matplotlib notebook
# If you want the figures to appear in the notebook,
# and you don't want to interact with them, use
# %matplotlib inline
# If you want the figures to appear in separate... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Modeling and Simulation in Python
Step3: Testing make_system
Step4: Testing slope_func
Step5: Now we can run the simulation.
Step6: Plotting... |
5,320 | <ASSISTANT_TASK:>
Python Code:
%run ../linked_list/linked_list.py
%load ../linked_list/linked_list.py
class MyLinkedList(LinkedList):
def delete_node(self, node):
# TODO: Implement me
pass
# %load test_delete_mid.py
from nose.tools import assert_equal
class TestDeleteNode(object):
def test_dele... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Unit Test
|
5,321 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import GPy
%matplotlib inline
#%config InlineBackend.figure_format = 'svg'
from pylab import *
# Let's make some synthetic data
x = np.linspace(0.,2*np.pi,100)[:,None]
y = -cos(x)+np.random.randn(*x.shape)*0.3+1
_ = plot(x,y,'.')
# Make a GP regression model
m = GPy.m... | <SYSTEM_TASK:>
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 HMC Inference for GP Regression
Step2: Let us Make a GP Regression model and give some general prior distributions to model paramete... |
5,322 | <ASSISTANT_TASK:>
Python Code:
%sql mysql://steinam:steinam@localhost/sommer_2014
%%sql
select * from artikel
where Art_Bezeichnung like '%Schmerzmittel%' or Art_Bezeichnung like '%schmerzmittel%';
%%sql
select k.Kd_firma, sum(rp.RgPos_Menge * rp.RgPos_Preis) as Umsatz
from Kunde k left join Rechnung r
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Frage 1
Step2: Frage 2
Step3: Frage 3
Step4: Frage 4
Step5: Heiko Mader
Step6: Aufgabe 3
Step7: Aufgabe 4
Step8: Leichte Änderungen führe... |
5,323 | <ASSISTANT_TASK:>
Python Code:
# check which python is in use.
import sys
print('Notebook is running:', sys.executable) # /opt/conda/bin/python
# or uncomment the code below
from platform import python_version # 3.7.6
print('The current Python version is', python_version())
import hddm, IPython
print('The current HDDM ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Part 1
Step2: Part 2
Step3: Test the docker image
Step4: Test the docker image
Step5: Check convergence (visual inspection)
Step7: Test the... |
5,324 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from collections import Counter
%matplotlib inline
df = pd.read_csv('pdata.csv')
print(df.columns.values)
print('\nNumber of hits on the website is %s hit' %len(df['Source IP']))
total_hits = Co... | <SYSTEM_TASK:>
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 sets that we will work on are logs from the firewall, we will use the small file pdata.csv to simplify readings and then we will use th... |
5,325 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import numpy as np
import pandas as pd
from scipy import sparse
import scipy.sparse.linalg as spla
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_context('notebook', font_scale=1.5)
A = np.random.poisson(0.2, (5,15)) * np.random.randint(0, 10, (5, 15))
A... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Creating a sparse matrix
Step2: From coordinates
Step3: Convert back to dense matrix
Step4: Compressed Sparse Row and Column formats
Step5: ... |
5,326 | <ASSISTANT_TASK:>
Python Code:
%%time
# 引入这个项目需要的库
import numpy as np
import pandas as pd
import visuals as vs
from IPython.display import display # 使得我们可以对DataFrame使用display()函数
# 设置以内联的形式显示matplotlib绘制的图片（在notebook中显示更美观）
%matplotlib inline
# 载入整个客户数据集
try:
data = pd.read_csv("customers.csv")
data.drop(['Regi... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 分析数据
Step2: 练习
Step3: 问题 1
Step4: 问题 2
Step5: 问题 3
Step6: 观察
Step7: 练习
Step8: 问题 4
Step9: 问题 5
Step10: 练习：降维
Step11: 观察
Step12: 可视化一个... |
5,327 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
np.random.seed(1234)
n = 1000
p = np.random.rand(n)
p.sort()
def shift(x, y):
y[1:] = x[:-1]
y[0] = 0
def cl(p, k):
p = p.copy()
p.sort()
xi = np.zeros(k)
xi[0] = 1
xi2 = np.zeros(k)
shift(xi, xi2)
for pp in p:
xi *= (1 - pp)
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: OK, so that's pretty neat, the FFT paper's R code runs in quadratic time, neatly quadrupling in runtime for every doubling of input. The numpy v... |
5,328 | <ASSISTANT_TASK:>
Python Code:
import pylab as plt
# %matplotlib inline
import numpy as np
def gen_im(n=1):
rn = np.random.uniform(low=0, high=1, size=(20,))
# Make a random plot...
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(rn,"r")
ax.grid()
DPI = fig.get_dpi()
fig.... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Synthetic image generation function
Step2: Batch image generation function
Step3: Let's start with 1000 training samples and 100 test samples
... |
5,329 | <ASSISTANT_TASK:>
Python Code:
# Authors: Denis A. Engemann <denis.engemann@gmail.com>
# Stefan Appelhoff <stefan.appelhoff@mailbox.org>
#
# License: BSD-3-Clause
import os.path as op
import numpy as np
import matplotlib.pyplot as plt
import mne
from mne.datasets import somato
from mne.baseline import rescale
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Set parameters
Step2: We create average power time courses for each frequency band
Step4: Now we can compute the Global Field Power
|
5,330 | <ASSISTANT_TASK:>
Python Code:
from __future__ import division
import tensorflow as tf
from os import path
import numpy as np
import pandas as pd
import csv
from sklearn.model_selection import StratifiedShuffleSplit
from time import time
from matplotlib import pyplot as plt
import seaborn as sns
from mylibs.jupyter_not... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Step 0 - hyperparams
Step2: Step 1 - collect data (and/or generate them)
Step3: Step 2 - Build model
Step4: Step 3 training the network
Step5... |
5,331 | <ASSISTANT_TASK:>
Python Code:
# let's load MNIST data as we did in the exercise on MNIST with FC Nets
# %load ../solutions/sol_52.py
## try yourself
## `evaluate` the model on test data
<END_TASK> | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Step 2
|
5,332 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd # data package
import matplotlib.pyplot as plt # graphics
import sys # system module, used to get Python version
import os # operating system tools (check files)
import datetime as dt # date tools, used... | <SYSTEM_TASK:>
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=lucky></a>
Step2: Question. What do we have here? A list of length 10? Whose elements are dataframes? Evidently this reads in all the ... |
5,333 | <ASSISTANT_TASK:>
Python Code:
import os
import pandas as pd
# Load Data
gl = pd.read_csv('..\data\game_logs.csv')
# Available also at https://data.world/dataquest/mlb-game-logs
# Data Preview
gl.head()
gl.dtypes.head()
# Select only the column with same type
gl.select_dtypes(include=['object']).head()
#Exact amount o... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Original Article
Step2: First Look
Step3: Under the hood, pandas groups the columns into block of values of the same type
Step4: Subtype
Step... |
5,334 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import os
import warnings
warnings.filterwarnings('ignore')
from cogstat import cogstat as cs
print(cs.__version__)
cs_dir, dummy_filename = os.path.split(cs.__file__) # We use this for the demo data
# Load some data
data = cs.CogStatData(data=os.path.join(cs_dir, 'sa... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Data
Step2: Explore variable in interval, ordinal and nominal variables
Step3: Explore relation pairs in interval, ordinal and nominal variabl... |
5,335 | <ASSISTANT_TASK:>
Python Code:
import os
!ls
if not os.path.exists("ery_30-15.sorted.cov.gz"):
try:
# 'call' is from the subprocess module
retcode = os.system("bamtools coverage -in ery_30-15.sorted.bam | gzip > ery_30-15.sorted.cov.gz")
if retcode < 0:
print "Child was terminat... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: If a ery_30-15.sorted.cov does not exist yet, create one using bamtools coverage
Step2: Let's have a quick look at the new coverage file
Step3:... |
5,336 | <ASSISTANT_TASK:>
Python Code:
from sklearn import cross_validation, datasets
import numpy as np
iris = datasets.load_iris()
train_data, test_data, train_labels, test_labels = cross_validation.train_test_split(iris.data, iris.target,
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Разовое разбиение данных на обучение и тест с помощью train_test_split
Step2: Стратегии проведения кросс-валидации
Step3: StratifiedKFold
Step... |
5,337 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import matplotlib.pyplot as plt
from IPython.display import display, Math, Latex, HTML
from google.colab.output._publish import javascript
url = "https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.3/latest.js?config=default"
# <SOL>
# ###############
# Data generation
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The company Like2Call offers hosting services for call centers. In order to dimension the staff of operators optimally, the company has collecte... |
5,338 | <ASSISTANT_TASK:>
Python Code:
import tensorflow as tf
x = [[[[1, 2, 3], [2, 3, 4], [0, 0, 0]],
[[1, 2, 3], [2, 0, 4], [3, 4, 5]],
[[1, 2, 3], [0, 0, 0], [0, 0, 0]],
[[1, 2, 3], [1, 2, 3], [0, 0, 0]]],
[[[1, 2, 3], [0, 1, 0], [0, 0, 0]],
[[1, 2, 3], [2, 3, 4], [0, 0, 0]],
[[1, 2, 3], ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
|
5,339 | <ASSISTANT_TASK:>
Python Code:
# For embedding audio player
import IPython
# Plots
import matplotlib.pyplot as plt
from pylab import plot, show, figure, imshow
plt.rcParams['figure.figsize'] = (15, 6)
import numpy
import essentia.standard as es
audiofile = '../../../test/audio/recorded/flamenco.mp3'
# Load audio file.
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The zero pitch value correspond to unvoiced audio segments with a very low pitch confidence according to the algorithm's estimation. You can for... |
5,340 | <ASSISTANT_TASK:>
Python Code:
import tensorflow as tf
print(tf.version.VERSION)
device_name = tf.test.gpu_device_name()
if device_name != '/device:GPU:0':
raise SystemError('GPU device not found')
print('Found GPU at: {}'.format(device_name))
!cat run_dataflow.sh
!./run_dataflow.sh > /dev/null 2>&1
!ls -l flower_tf... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Run Beam pipeline locally
Step2: Display preprocessing data
Step3: Train the model
Step4: Predictions
|
5,341 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
%matplotlib inline
def getOrbitPoints(EI, H, F, nVertex):
if (abs(F) <= H)|(abs(F) < 1.E-8):
theta0 = np.pi
else:
theta0 = np.arccos(H/F)
theta = np.li... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 1 Effect of the variation of the static parameters
Step2: 1.1 Constant energy $\mathcal{H}$, varying force magnitude $F$
Step3: 1.2 Constant m... |
5,342 | <ASSISTANT_TASK:>
Python Code:
import matplotlib as mpl
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import time
C = 1
kernel = 'linear'
# TODO: Change to 200000 once you get to Question#2
iterations = 5000
# You can set this to false if you want to draw the full square matrix:
FAST_DRAW = T... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Feel free to adjust and experiment with these parameters after you have completed the lab
Step2: Convenience Functions
Step3: The Assignment
S... |
5,343 | <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... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Keras
Step2: tf.keras can run any Keras-compatible code, but keep in mind
Step3: Configure the layers
Step4: Train and evaluate
Step5: tf.ke... |
5,344 | <ASSISTANT_TASK:>
Python Code:
import pymc3 as pm
import numpy as np
from pymc3.step_methods import smc
import theano.tensor as tt
from matplotlib import pyplot as plt
from tempfile import mkdtemp
import shutil
%matplotlib inline
test_folder = mkdtemp(prefix='ATMIP_TEST')
n_chains = 500
n_steps = 100
tune_interval = 2... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: The number of Markov chains and the number of steps each Markov chain is sampling has to be defined, as well as the tune_interval and the number... |
5,345 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import pandas as pd
df = pd.read_csv("train.csv")
df.head()
# 65歳の人のデータを抜き出す
df[df.Age == 65][['Name', 'Age']]
# データ件数
len(df)
# 先頭2件を確認
df.head(2)
# 後ろ5件(デフォルト5件)を確認
df.tail()
# 先頭3件の名前、年齢、性別のみ出力
df[['Name', 'Age', 'Sex']].head(3)
# 計... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: 以下のようなデータがある
Step2: データを見てみよう
Step3: 1-2. 集計
Step4: 1-3. データの前処理
Step5: 欠損値の補間
Step6: カラムの追加
Step7: 1-4. データの可視化
|
5,346 | <ASSISTANT_TASK:>
Python Code:
import logging
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from collections import OrderedDict
from IPython.display import display, Markdown
from sodapy import Socrata
logging.disable(logging.WARNING)
# utility function to print python output as markdown snip... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Simple enough! We can see that each row in this dataset is a service request record containing
Step2: Wait, but we can do even better! Based o... |
5,347 | <ASSISTANT_TASK:>
Python Code:
//***Do like your comments in stack.h so copied here for future review and study:***
// In C++ a class is just a fancy struct
// Both struct and class have two internal namespaces:
// private: only accessible by the struct/class itself
// public: accessible by other code that is usi... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: iii. Explain what private and public do
Step2: iv. Explain what size_t is used for
Step3: v. Explain why this code avoids the use of C pointer... |
5,348 | <ASSISTANT_TASK:>
Python Code:
x = input()
if x.find("rr")!= -1:
y = x[1:]
else:
y = x[:-1]
print(y)
x = input()
y = x.split()
w = ""
for z in y:
w = w + z[1]
print(w)
x = input()
x = x + x
x = x.replace("o","i")
x = x[:5]
print(x)
# all at once
with open(filename, 'r') as handle:
contents = handle.r... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: A. erry
Step2: A. iic
Step3: A. tony
Step4: Writing a To File
Step5: Watch Me Code 1
Step6: A. 1
Step7: A. 1
Step8: End-To-End Example... |
5,349 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
%config InlineBackend.figure_formats = {'png', 'retina'}
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib as mpl
import pandas as pd
import MySQLdb
from sklearn.tree import export_graphviz
from sklearn.cross_validation import tr... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step7: 1. Connect DB and Make QUERY
Step8: 2. Make Pandas DataFrame Each Position Player
Step9: 3. Set Position Category and Concat Each Datafream
St... |
5,350 | <ASSISTANT_TASK:>
Python Code:
data = pd.read_csv('data/bike_oneweekfrom20140505.csv', index_col=0, parse_dates=True)
data.info()
data.columns
new_column_names = ['trip_time', 'pickup_datetime', 'dropoff_datetime', 'start_station_id',
'start_station_name', 'pickup_latitude',
'pickup_longitude', 'end_stat... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Rename the columns. They're now streamlined with the taxi input.
Step2: Parse the dates.
Step3: Have a look at every station. How many pickups... |
5,351 | <ASSISTANT_TASK:>
Python Code:
# Lets see how many lines are in the PDF
# We can use the '!' special character to run Linux commands inside of our notebook
!wc -l test.txt
# Now lets see how many words
!wc -w test.txt
import nltk
from nltk import tokenize
# Lets open the file so we can access the ascii contents
# fd st... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: We want to "tokenize" the text and discard "stopwords" like 'a', 'the', 'in'. These words aren't relevant for our analysis.
Step2: We want to t... |
5,352 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
from matplotlib import pyplot
# Iterative for 1-D linear convection
def lin_convection_1d(nx=41, nt=100, dt=0.01, c=1, u_init = [2,2,2,2], init_offset = 5) :
'''
nx = 41 # Number of horizontal location points (x axis on graph)
nt = 100 # Number of time step ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Discussion
|
5,353 | <ASSISTANT_TASK:>
Python Code:
def rectanglearea(r ) :
if r < 0 :
return - 1
a = r * r
return a
if __name__== "__main __":
r = 5
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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:
|
5,354 | <ASSISTANT_TASK:>
Python Code:
import cashflows as cf
cflo=cf.cashflow(const_value=1000, nper=10, spec=[(t,-90) for t in range(5,10)])
cf.cfloplot(cflo)
tax_rate = cf.nominal_rate(const_value=[30] * 10)
x=cf.after_tax_cashflow(cflo, # flujo de efectivo
tax_rate = tax_rate) # impuesto de... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Impuestos corporativos
Step2: Ejemplo.-- Considere un flujo de caja de \$ 100, y una duración de 10 periodos. Calcule el impuesto de renta si l... |
5,355 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import contiamo
import seaborn as sns
import numpy as np
transactions = %contiamo query query:sql:48590597:411:g71GXzJjsx4Uvad11ouKjoYbQUNNPy-qRMKkBNZfyx4
customers = %contiamo query query:sql:48590597:441:MG5W2dMjXzYgsHsgdQYzmhv44dxEQX2Lodu5Uh2Hx_s
applications = %co... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Query data into Contiamo
Step2: Select data from the customers table
Step3: Select data from the transactions table
Step4: Merge tables and g... |
5,356 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import pandas as pd
import math
import cmath
from scipy.optimize import root
import matplotlib.pyplot as plt
%matplotlib inline
a = ("Table1.txt")
a
class InterfazPolimero:
def __init__ (self,a):
self.a=a
def Lire(self):
self.tab = pd.read_csv(... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Polymère
Step2: Calcul de la concentration finale
Step3: Table des valeurs
Step4: Calcul de c2
Step5: Graphique
Step6: Graphique
Step7: ... |
5,357 | <ASSISTANT_TASK:>
Python Code:
%pylab inline
%matplotlib inline
import numpy as np
import scipy.io
dataset = scipy.io.loadmat('../../../data/ocr/ocr_taskar.mat')
# patterns for training
p_tr = dataset['patterns_train']
# patterns for testing
p_ts = dataset['patterns_test']
# labels for training
l_tr = dataset['labels_t... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step2: Few examples of the handwritten words are shown below. Note that the first capitalized letter has been removed.
Step3: Define Factor Types and ... |
5,358 | <ASSISTANT_TASK:>
Python Code:
from __future__ import print_function
import os
import re
from gensim.corpora import TextCorpus, MmCorpus
from gensim import utils, models
from gensim.parsing.preprocessing import STOPWORDS
from gensim.utils import deaccent
class TextDirectoryCorpus(TextCorpus):
Read documents recurs... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step8: Parsing the Dataset
Step9: Loading the Dataset
Step10: Training the Models
Step11: Evaluation Using Coherence
|
5,359 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import math
from numba import jit
N = 10000
x = np.random.randn(N, 2);
y = np.random.randn(N, 2);
charges = np.ones(N)
res = np.zeros(N)
@jit
def compute_nbody_direct(N, x, y, charges, res):
for i in xrange(N):
res[i] = 0.0
for j in xrange(N):
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Question
Step2: Smoothed particle hydrodynamics
Step3: Applications
|
5,360 | <ASSISTANT_TASK:>
Python Code:
# for inline plotting in the notebook
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
def plot_log():
figure, axis = plt.subplots(2, 1)
x = np.linspace(1, 2, 10)
axis.plot(x, np.log(x))
plt.show()
plot_log() # Call the function, generate plot
# Unc... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Unfortunately, when you go to execute the code block, Python throws an error. Some friend! How can we fix the code so that it runs correctly?
St... |
5,361 | <ASSISTANT_TASK:>
Python Code:
# standard library
import os
import time
import shutil
# Load Python SDK
from azure import *
from azure.servicemanagement import *
from azure.storage import *
# Subscription details
subscription_id = '1a61650c-ada5-4173-a8da-2a4ffcfab747'
certificate_path = 'mycert.pem'
# Initialize conn... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Setting up a Cloud Service
Step2: Create Storage Account
Step3: Working with Containers
Step4: Working with Blobs
Step5: Cleaning Up
Step6: ... |
5,362 | <ASSISTANT_TASK:>
Python Code:
# As usual, a bit of setup
import time
import numpy as np
import matplotlib.pyplot as plt
from cs231n.classifiers.fc_net import *
from cs231n.data_utils import get_CIFAR10_data
from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array
from cs231n.solver impo... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Fully-Connected Neural Nets
Step4: Affine layer
Step5: Affine layer
Step6: ReLU layer
Step7: ReLU layer
Step8: "Sandwich" layers
Step9: Lo... |
5,363 | <ASSISTANT_TASK:>
Python Code:
import time
from collections import namedtuple
import numpy as np
import tensorflow as tf
with open('anna.txt', 'r') as f:
text=f.read()
vocab = set(text)
vocab_to_int = {c: i for i, c in enumerate(vocab)}
int_to_vocab = dict(enumerate(vocab))
chars = np.array([vocab_to_int[c] for c ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: First we'll load the text file and convert it into integers for our network to use.
Step3: Now I need to split up the data into batches, and in... |
5,364 | <ASSISTANT_TASK:>
Python Code:
import sys # system module
import pandas as pd # data package
import matplotlib.pyplot as plt # graphics module
import datetime as dt # date and time module
import numpy as np # foundation for Pa... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Packages Imported
Step2: Number of Home Runs by Year
Step3: Number of Stolen Bases by Year
Step4: Number of Doubles by Year
Step5: Number of... |
5,365 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import (display, SVG)
from IPython.html.widgets import interact, interactive, fixed
from IPython.html import widgets
s =
<svg width="100" height="100">
<circle cx="50" cy="50" r="20" fill="aquam... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
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Description:
Step2: Interact with SVG display
Step5: Write a function named draw_circle that draws a circle using SVG. Your function should take the parameters of ... |
5,366 | <ASSISTANT_TASK:>
Python Code:
from __future__ import division, print_function
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
data1 = pd.read_csv('pca2.csv', sep=',')
data1.ix[0:2, 'X1':'X2']
data1.ix[0:2, :]
data1.shape
m = np.mean(data1, 0)
data1_centered = data1 - m
data1_... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Exercise 1
Step2: B
Step3: By deleting 2 of the 500 datapoints, the projection on the PCs change about 10 degrees. Hence the PCs itself change... |
5,367 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
%config InlineBackend.figure_format = "retina"
from matplotlib import rcParams
rcParams["savefig.dpi"] = 100
rcParams["figure.dpi"] = 100
rcParams["font.size"] = 20
%matplotlib inline
import bioscrape as bs
from bioscrape.types import Model
from bioscrape.inference imp... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Using Gaussian prior for k1
Step2: Using mixed priors and estimate both k1 and d1
Step3: Check mcmc_results.csv for the results of the MCMC pr... |
5,368 | <ASSISTANT_TASK:>
Python Code:
%pylab inline
# Import libraries
from __future__ import absolute_import, division, print_function
# Ignore warnings
import warnings
#warnings.filterwarnings('ignore')
import sys
sys.path.append('tools/')
import numpy as np
import pandas as pd
import scipy.stats as st
# Graphing Libraries
... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step2: Data Sampling
Step3: Smokers and Nonsmokers
Step4: The histogram below displays the distribution of birth weights of the babies of the non-smo... |
5,369 | <ASSISTANT_TASK:>
Python Code:
!pip install -I "phoebe>=2.0,<2.1"
%matplotlib inline
import phoebe
from phoebe import u # units
import numpy as np
import matplotlib.pyplot as plt
logger = phoebe.logger()
b = phoebe.default_binary()
b['q'] = 0.8
b['ecc'] = 0.1
b['irrad_method'] = 'none'
b.add_dataset('orb', times=np.... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: This first line is only necessary for ipython noteboooks - it allows the plots to be shown on this page instead of in interactive mode
Step2: A... |
5,370 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
from matplotlib import pyplot as plt
from sqlalchemy import create_engine
from sqlalchemy_utils import database_exists, create_database
import psycopg2
import pandas as pd # Requires v 0.18.0
import numpy as np
import seaborn as sns
sns.set_style("whitegrid")
dbname = '... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step3: Descriptive statistics
Step6: Plot the distribution of money involved per transaction. There are ~900 cases where no money was exchanged, but a... |
5,371 | <ASSISTANT_TASK:>
Python Code:
%config InlineBackend.figure_format = 'retina'
%matplotlib inline
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('white')
# Define sawtooth shape in some number of samples
x1 = np.array([0,.05,.2,1,.9,.8,.7,.6,.5,.4,.3,.2,.1,.05,... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: 1. Simulate a 20Hz sawtooth wave
Step2: 2. Filter in 13-30Hz band
Step3: 3. Calculate instantaneous measures
Step4: 4. Visualize
Step5: 5. ... |
5,372 | <ASSISTANT_TASK:>
Python Code:
def parentheses_util(no_left, no_right, pair_string, result):
# TODO: implement parentheses pairing here
pass
def pair_parentheses(n):
result_set = set()
if n == 0:
return result_set
parentheses_util(n, n, '', result_set)
return result_set
# %load test_n_p... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Unit Test
|
5,373 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
np_array = load_data()
scaler = MinMaxScaler()
X_one_column = np_array.reshape([-1, 1])
result_one_column = scaler.fit_transform(X_one_column)
transformed = result_one_column.reshape(np_array.shape)
<END... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
|
5,374 | <ASSISTANT_TASK:>
Python Code:
# Set up some imports that we will need
from pymatgen import Lattice, Structure
from pymatgen.analysis.diffraction.xrd import XRDCalculator
from IPython.display import Image, display
%matplotlib inline
# Create CsCl structure
a = 4.209 #Angstrom
latt = Lattice.cubic(a)
structure = Struct... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: $\alpha$-CsCl ($Pm\overline{3}m$)
Step2: Compare it with the experimental XRD pattern below.
Step3: $\beta$-CsCl ($Fm\overline{3}m$)
Step4: C... |
5,375 | <ASSISTANT_TASK:>
Python Code:
Image(url="https://kanbanize.com/blog/wp-content/uploads/2014/07/Standard_deviation_diagram.png", width=500)
def qq_plot(x):
import scipy.stats
(osm, osr),(slope, intercept, r) = scipy.stats.probplot(x, dist='norm', plot=None)
plt.plot(osm, osr, '.', osm, slope*osm + interce... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: How to test it
Step2: 1.2 Equal variance (if two or more groups)
Step3: How to test it
Step4: 1.3 i.i.d. (independent and identically distrib... |
5,376 | <ASSISTANT_TASK:>
Python Code:
import copy
from IPython.display import Image
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import random
from sklearn.metrics import r2_score, mean_squared_error
%matplotlib inline
plt.rcParams["figure.figsize"] = (8,6)
# `unemploy.csv` is included in the repo - ... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: < optional web data acquisition >
Step2: Simple models
Step3: Note that the shift() method effectively slides the index up (relative to ... |
5,377 | <ASSISTANT_TASK:>
Python Code:
% matplotlib inline
import pandas as pd
from dateutil.relativedelta import relativedelta
import statsmodels.formula.api as sm
import requests
#import seaborn as sns
import numpy as np
import matplotlib.pyplot as plt
df_reg = pd.read_csv("../../data/retention/newcomer_sample_features.csv"... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Data Preprocessing
Step2: Regression over Time
|
5,378 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
from sklearn.datasets import load_breast_cancer
cancer = load_breast_cancer()
cancer.keys()
print(cancer['DESCR'])
cancer['feature_names']
df_feat = pd.DataFrame(cancer['dat... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Get the Data
Step2: The data set is presented in a dictionary form
Step3: We can grab information and arrays out of this dictionary to set up ... |
5,379 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import numpy as np
from geoscilabs.gpr.GPR_zero_offset import WidgetWaveRegime
from geoscilabs.gpr.Attenuation import AttenuationWidgetTBL
fc = 250*1e6
d = 6
v = 3*1e8 / np.sqrt(4)
np.sqrt(v*d / (2*fc))
WidgetWaveRegime()
AttenuationWidgetTBL()
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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: GPR Zero Offset App (Wave Regime)
Step2: Attenuation App
|
5,380 | <ASSISTANT_TASK:>
Python Code:
! pip3 install -U google-cloud-aiplatform --user
! pip3 install google-cloud-storage
import os
if not os.getenv("AUTORUN"):
# Automatically restart kernel after installs
import IPython
app = IPython.Application.instance()
app.kernel.do_shutdown(True)
PROJECT_ID = "[your... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Install the Google cloud-storage library as well.
Step2: Restart the Kernel
Step3: Before you begin
Step4: Region
Step5: Timestamp
Step6: A... |
5,381 | <ASSISTANT_TASK:>
Python Code:
## This cell imports various packages which are needed for the code to run
import pandas as pd # pandas is used to organize the data
import matplotlib.pyplot as plt # Intro/basic graphics
import seaborn as seab # Better graphics
import pandas.io.dat... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Data Sources
Step2: Note that the four major sub-components of spending (Defense, Medicare, Nondefense Discretionary, and Social Security) are ... |
5,382 | <ASSISTANT_TASK:>
Python Code:
!pip install -q -U pip
!pip install -q tensorflow==2.2.0
!pip install -q -U google-auth google-api-python-client google-api-core
import os
import numpy as np
import tensorflow as tf
print(f"Tensorflow version: {tf.__version__}")
PROJECT_ID = "yourProject" # Change to your project.
BUCK... | <SYSTEM_TASK:>
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
Step2: Configure GCP environment settings
Step3: Authenticate your GCP account
Step4: Create the embedding lookup model
Step... |
5,383 | <ASSISTANT_TASK:>
Python Code:
import subprocess
import hail as hl
hl.init()
list_tissues = subprocess.run(["gsutil", "-u", "broad-ctsa", "ls",
"gs://hail-datasets-tmp/GTEx/GTEx_Analysis_v8_QTLs/GTEx_Analysis_v8_eQTL_all_associations"],
stdout=subprocess... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: First we can grab a list of the GTEx tissue names
Step2: Take a peek at the tissue names we get to make sure they're what we expect
Step3: We ... |
5,384 | <ASSISTANT_TASK:>
Python Code:
!pyNTCIREVAL
!cat ../data/eval/q1.rel
!cat ../data/eval/method1.q1.res
!pyNTCIREVAL label -r ../data/eval/q1.rel < ../data/eval/method1.q1.res
!pyNTCIREVAL label -r ../data/eval/q1.rel < ../data/eval/method1.q1.res > ../data/eval/method1.q1.rel
!cat ../data/eval/method1.q1.rel
!pyNT... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: なお，notebook上で $!$ の後の文字列はシェル（ターミナル）に対するコマンドと解釈され，シェルの出力がnotebookの画面に出力されます．
Step2: このファイルの一行の意味は，
Step3: このように，検索結果ファイルはランキング結果を単純に文書IDで表します．た... |
5,385 | <ASSISTANT_TASK:>
Python Code:
import jax
import jax.numpy as jnp
import matplotlib.pyplot as plt
import numpy as np
from jax.scipy.stats import multivariate_normal
jax.config.update("jax_platform_name", "cpu")
import blackjax
import blackjax.smc.resampling as resampling
def V(x):
return 5 * jnp.square(jnp.sum(x**... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Sampling from a bimodal potential
Step2: Sample with HMC
Step3: Sample with NUTS
Step5: Tempered SMC with HMC kernel
Step6: Sampling from th... |
5,386 | <ASSISTANT_TASK:>
Python Code:
import inspect
from math import sqrt, pi
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from ipywidgets import interact
from ipywidgets.widgets import FloatSlider, IntSlider
from scipy.integrate import quad
plt.rcParams.update({'font.size': 16})
# Debye-Huckel
def... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step4: Pair potentials
Step5: Interaction parameter
Step6: Interactive EOS plot
Step8: With Data
|
5,387 | <ASSISTANT_TASK:>
Python Code:
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
data = pd.read_csv('november.csv')
ind = data['center_diff_valid']
plt.plot(data['time'][ind] / (60 * 60 * 24), data['temp'][ind], '.')
plt.ylabel('Temperature [F]')
plt.xlabel('Days')
plt.show()
Th = data['temp'][ind... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Problem 1.3
Step2: Problem 1.4
Step3: The 95% confidence interval for $\frac{\alpha}{c_p}$ is 0.0289 $\pm$ 0.001 inverse hours
|
5,388 | <ASSISTANT_TASK:>
Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'csiro-bom', 'sandbox-2', 'landice')
# Set as follows: DOC.set_author("name", "email")
# TODO - please enter value(s)
# Set as follows: DOC.set_contributor("name"... | <SYSTEM_TASK:>
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... |
5,389 | <ASSISTANT_TASK:>
Python Code:
#importer les libraires
#pour afficher
import matplotlib.pyplot as plt
#pour le calcul
import numpy as np
#pour le réseau
import networkx as nx
%matplotlib inline
#instancier le graph
g = nx.Graph()
#ajouter un noeud
#g.add_node("paul")
#ajouter une liste de noeud
g.add_nodes_from(["paul"... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: La position des sommets et des arêtes n'a pas d'importance d'un point de vue mathématiques.
Step2: Matrices
Step3: Pour les curieux voir l'ex... |
5,390 | <ASSISTANT_TASK:>
Python Code:
# Ensures compatibility between Python 2 and 3.
from __future__ import print_function, division
from __builtin__ import range
print('Hello Python world!')
...
print(message)
# Example of two strings.
my_string = "This is a double-quoted string."
your_string = 'This is a single-quoted s... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Hello World
Step2: Try to get the following code to print the same message as the one above.
Step3: Strings
Step4: We now want to manipulate ... |
5,391 | <ASSISTANT_TASK:>
Python Code:
Image('PyAudio_RT_flow@300dpi.png',width='90%')
pah.available_devices()
# define a pass through, y = x, callback
def callback(in_data, frame_count, time_info, status):
DSP_IO.DSP_callback_tic()
# convert byte data to ndarray
in_data_nda = np.fromstring(in_data, dtype=np.int16... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Real-Time Loop Through
Step2: Real-Time Filtering
Step3: Create some global variables for the filter coefficients and the filter state array (... |
5,392 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
from sklearn.datasets import load_breast_cancer
import numpy as np
from functools import reduce
# Needed for the scikit-learn wrapper function
from sklearn.utils import resample
from sklearn.ensemble import RandomForestClassifier
from mat... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Step 1
Step2: Check out the data
Step3: Step 2
Step4: STEP 3
Step5: Perform Manual CHECKS on the irf_utils
Step 4
Step6: Plot Ranked Featur... |
5,393 | <ASSISTANT_TASK:>
Python Code:
from symbulate import *
%matplotlib inline
P = BoxModel([0, 1], size=5)
X = RV(P, sum)
outcome = (0, 1, 0, 1, 1)
X(outcome)
P = Normal(mean=0, sd=1)
X = RV(P)
X(-0.5)
P = BoxModel([0, 1], size=5)
X = RV(P, sum)
values = X.sim(10000)
values
values.tabulate(normalize=True)
values.count_... | <SYSTEM_TASK:>
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='RV'></a>
Step2: A random variable can be called as a function to return its value for a particular outcome in the probability space.
Ste... |
5,394 | <ASSISTANT_TASK:>
Python Code:
%pylab inline
%matplotlib inline
# import all Shogun classes
from modshogun import *
from matplotlib.patches import Ellipse
# a tool for visualisation
def get_gaussian_ellipse_artist(mean, cov, nstd=1.96, color="red", linewidth=3):
Returns an ellipse artist for nstd times the sta... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: Gaussian Mixture Models and Expectation Maximisation in Shogun
Step2: Set up the model in Shogun
Step3: Sampling from mixture models
Step4: E... |
5,395 | <ASSISTANT_TASK:>
Python Code:
from bokeh.io import output_file
output_file('/tmp/bokeh_notebook.html')
from pandas_datareader import wb
indicators_df = wb.get_indicators()
indicators_df['sourceOrganization'] = indicators_df['sourceOrganization'].str.decode("utf-8")
indicators_df.head()
from bokeh.io import show, vf... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
Step1: Sample Application
Step2: Simple DataTable
Step4: Add Filtering
Step5: Links
|
5,396 | <ASSISTANT_TASK:>
Python Code:
%%HTML
<div style="background-color:#d9edf7;color:#31708;border-color:#bce8f1;padding: 15px;margin-bottom: 20px;border: 1px; border-radius:4px;">
<strong>psittacism: </strong> <p>automatic speech without thought of the meaning of the words spoken</p>
<p>New Latin psittacism... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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<USER_TASK:>
Description:
Step1: So in conclusion…
Step4: Python does not have interfaces. If it did, it would look something like this. Interfaces can be imitated with a class... |
5,397 | <ASSISTANT_TASK:>
Python Code:
def add(x, y):
Add two numbers
Parameters
----------
x : float
First input
y : float
Second input
Returns
-------
x + y : float
return x + y
add(1, 2)
print(add(3, 4))
print(add(10.61, 5.99))
help(add)
im... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Functions
Step3: We see that the line add(1, 2) is outside the function and so is executed. We can also call the function repeatedly
Step4: Th... |
5,398 | <ASSISTANT_TASK:>
Python Code:
import datetime
dt = datetime.datetime.now()
dt
type(dt)
dt.year, dt.month, dt.day, dt.hour, dt.minute, dt.second, dt.microsecond, dt.tzinfo
dt.weekday() # {0:월, 1:화, 2:수, 3:목, 4:금, 5:토, 6:일}
dt1 = datetime.datetime.strptime("2015-12-31 11:32", "%Y-%m-%d %H:%M")
dt1
dt1.strftime("%d/%... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: datetime.datetime 클래스
Step2: Instance Attributes 속성
Step3: 문자열 변환
Step4: format 기호
Step5: datetime, date, time 변환
Step6: timedelta와 날짜시간 연산... |
5,399 | <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... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step1: Distributed training with Keras
Step2: Download the dataset
Step3: Define the distribution strategy
Step4: Set up the input pipeline
Step5: ... |
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