Unnamed: 0 int64 0 15.9k | cleaned_code stringlengths 67 124k ⌀ | cleaned_prompt stringlengths 168 30.3k ⌀ |
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4,900 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
from seabird.cnv import fCNV
!wget https://raw.githubusercontent.com/castelao/seabird/master/sampledata/CTD/dPIRX003.cnv
profile = fCNV('dPIRX003.cnv')
print ("The profile coordinates is latitude: %.4f, and longitude: %.4f" % \
(profile.attributes['LATITUDE'], pro... | <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 first download an example file with some CTD data
Step2: The profile dPIRX003.cnv.OK was loaded with the default rule cnv.yaml
Step3: Or... |
4,901 | <ASSISTANT_TASK:>
Python Code:
from pyspark import SparkContext
sc = SparkContext(master = 'local')
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.appName("Python Spark SQL basic example") \
.config("spark.some.config.option", "some-value") \
.getOrCreate()
ad = spar... | <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: Linear regression without cross-valiation
Step2: Transform data structure
Step3: Build linear regression model
Step4: Fit the model
Step5: P... |
4,902 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import numpy as np
d = {'l': ['left', 'right', 'left', 'right', 'left', 'right'],
'r': ['right', 'left', 'right', 'left', 'right', 'left'],
'v': [-1, 1, -1, 1, -1, np.nan]}
df = pd.DataFrame(d)
def g(df):
return df.groupby('r')['v'].apply(pd.Series.sum,s... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
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Description:
|
4,903 | <ASSISTANT_TASK:>
Python Code:
!pip install git+https://github.com/google/starthinker
CLOUD_PROJECT = 'PASTE PROJECT ID HERE'
print("Cloud Project Set To: %s" % CLOUD_PROJECT)
CLIENT_CREDENTIALS = 'PASTE CLIENT CREDENTIALS HERE'
print("Client Credentials Set To: %s" % CLIENT_CREDENTIALS)
FIELDS = {
'auth_read': 'u... | <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. Get Cloud Project ID
Step2: 3. Get Client Credentials
Step3: 4. Enter Column Mapping Parameters
Step4: 5. Execute Column Mapping
|
4,904 | <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
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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... |
4,905 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import os
import numpy as np
import matplotlib.pyplot as plt
import astropy.io.fits as pyfits
import drizzlepac
import grizli
from grizli.pipeline import photoz
from grizli import utils, prep, multifit, fitting
utils.set_warnings()
print('\n Grizli version: ', grizli.__... | <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: Pull out the photometry of the nearest source matched in the photometric catalog.
Step2: Scaling the spectrum to the photometry
Step3: An offs... |
4,906 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import nltk
from nltk import word_tokenize
text = word_tokenize("And now for something completely different")
nltk.pos_tag(text)
text = word_tokenize("They refuse to permit us to obtain the refuse permit")
nltk.pos_tag(... | <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: CC
Step2: text.similar(w) finds words that appear in similar contexts to w
Step3: words similar to 'bought' -- mostly verbs
Step4: words simi... |
4,907 | <ASSISTANT_TASK:>
Python Code:
import pickle
import xml.etree.ElementTree as ET
import urllib.request
xml_path = 'https://feeds.capitalbikeshare.com/stations/stations.xml'
tree = ET.parse(urllib.request.urlopen(xml_path))
root = tree.getroot()
station_location = dict()
for child in root:
tmp_lst = [float(child[4]... | <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: Import Capital Bikeshare station information .xml file
Step2: create dictionary of bikeshare station (key) and its location (value)
Step3: sav... |
4,908 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
from matplotlib import pyplot as plt
%matplotlib inline
import os
import sys
import warnings
warnings.filterwarnings('ignore')
import time
from scipy.stats import ks_2samp
from astropy.io import fits,ascii
from astropy.table import Table
from astropy.coordinates import ... | <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: SF Main sequence with full sample
Step2: Statistics
Step3: Number with HI detections
Step4: Table 1
Step5: Figure 1
Step6: With BT cut
Step... |
4,909 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import xgboost as xgb
from sklearn.metrics import roc_curve, auc
from sklearn.metrics import precision_recall_curve
df = pd.read_csv("iris.csv")
def rotMat3D(a,r):
Return the matrix that rota... | <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:
Step3: Rotations
Step5: PCA
Step8: FastFourier Transformation
Step9: Save python object with pickle
Step10: Progress Bar
Step11: Check separations... |
4,910 | <ASSISTANT_TASK:>
Python Code:
import math
prime =[]
def simpleSieve(limit ) :
mark =[True for i in range(limit + 1 ) ]
p = 2
while(p * p <= limit ) :
if(mark[p ] == True ) :
for i in range(p * p , limit + 1 , p ) :
mark[i ] = False
p += 1
for p in range(2 , limit ) :
if mark[p ] :
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:
|
4,911 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from palettable.colorbrewer.qualitative import Set1_9
Set1_9.name
Set1_9.type
Set1_9.number
Set1_9.colors
Set1_9.hex_colors
Set1_9.mpl_colors
Set1_9.mpl_colormap
# requires ipythonblocks
Set1_9.show_as_blocks()
Set1_9.... | <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: Palettable API
Step2: Setting the matplotlib Color Cycle
Step3: Using a Continuous Palette
|
4,912 | <ASSISTANT_TASK:>
Python Code:
testsample = sample.Sample()
testsample.readout_tone_length = 200e-9 # length of the readout tone
testsample.clock = 1e9 # sample rate of your physical awg/pulse generator
testsample.tpi = 100e-9 # duration of a pi-pulse
testsample.tpi2 = 50e-9 # duration of a pi/2-pulse
testsample.iq_fre... | <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: Building sequences
Step2: Building sequences from pulses
Step3: As you can see, wait times can be added with the add_wait command. In this cas... |
4,913 | <ASSISTANT_TASK:>
Python Code:
#!wget -N https://rapidsai-cloud-ml-sample-data.s3-us-west-2.amazonaws.com/airline_small.parquet
def load_data(fpath):
Simple helper function for loading data to be used by CPU/GPU models.
:param fpath: Path to the data to be ingested
:return: DataFrame wrapping the 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:
Step2: Define data loader, using cuDF
Step4: Define our training routine.
Step5: Implement our MLFlow training loop, and save our best model to the t... |
4,914 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
data_path = 'Bike-Sharing-Dataset/hour.csv'
rides = pd.read_csv(data_path)
rides.head()
rides[:24*10].plot(x='dteday', y='cnt')
dummy_fields = ['seas... | <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: Load and prepare the data
Step2: Checking out the data
Step3: Dummy variables
Step4: Scaling target variables
Step5: Splitting the data into... |
4,915 | <ASSISTANT_TASK:>
Python Code:
from openhunt.mordorutils import *
spark = get_spark()
sd_file = "https://raw.githubusercontent.com/OTRF/Security-Datasets/master/datasets/atomic/windows/credential_access/host/empire_mimikatz_sam_access.zip"
registerMordorSQLTable(spark, sd_file, "sdTable")
df = spark.sql(
'''
SELECT `... | <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: Download & Process Security Dataset
Step2: Analytic I
|
4,916 | <ASSISTANT_TASK:>
Python Code:
!pip install git+https://github.com/biothings/biothings_explorer.git
from biothings_explorer.smartapi_kg import MetaKG
kg = MetaKG()
kg.constructMetaKG(source="remote")
kg.filter({"input_type": "Gene", "output_type": "ChemicalSubstance"})
kg.filter({"input_type": "Gene", "output_type":... | <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: Construct Meta-KG from SmartAPI
Step2: Filter
Step3: Find Meta-KG operations that converys Gene->Metabolize->ChemicalSubstance
Step4: Filter ... |
4,917 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import os
import numpy as np
import pymc3 as pm
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
true_rating = {
'All Stars': 2.0,
'Average': 0.0,
'Just Having Fun': -1.2,
}
true_index = {
0: 'All Stars',
1: 'Average',
2:... | <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: We have two teams, one of which is much better than the other. Let's make a simulated season between these teams.
Step2: Prior on each team is ... |
4,918 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
matplotlib.style.use('ggplot') # Look Pretty
def drawLine(model, X_test, y_test, title):
fig = plt.figure()
ax = fig.add_subplot(111)
ax.scatter(X_test, y_test, c='g', marker='o')
ax.... | <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: A Convenience Function
Step2: The Assignment
Step3: Create your linear regression model here and store it in a variable called model. Don't ac... |
4,919 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
test_data = pd.read_csv("../data/temp.standardized.csv")
test_data.head()
import crowdtruth
from crowdtruth.configuration import DefaultConfig
class TestConfig(DefaultConfig):
inputColumns = ["gold", "event1", "event2", "text"]
outputColumns = ["response"]
... | <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: Declaring a pre-processing configuration
Step2: Our test class inherits the default configuration DefaultConfig, while also declaring some addi... |
4,920 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
# Arrays
import numpy as np
# Plotting
import matplotlib.pyplot as plt
from itertools import product
# Operating system interfaces
import os, sys
# Parallel computing
from multiprocessing import Pool
# pairinteraction :-)
from pairinteraction import pireal as pi
# Creat... | <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 plate lies in the $xy$-plane with the surface at $z = 0$. The atoms lie in the $xz$-plane with $z>0$.
Step2: Next we define the state that ... |
4,921 | <ASSISTANT_TASK:>
Python Code:
# Import and instantiate energy_landscape object.
from catmap.api.ase_data import EnergyLandscape
energy_landscape = EnergyLandscape()
# Import all gas phase species from db.
search_filter_gas = []
energy_landscape.get_molecules('molecules.db', selection=search_filter_gas)
# Import all ad... | <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 site_specific option accepts True, False or a string. In the latter case, the site key is recognized only if the value matches the string, w... |
4,922 | <ASSISTANT_TASK:>
Python Code:
#load GPIO library
import RPi.GPIO as GPIO
#Set BCM (Broadcom) mode for the pin numbering
GPIO.setmode(GPIO.BCM)
# If we assign the name 'PIN' to the pin number we intend to use, we can reuse it later
# yet still change easily in one place
PIN = 18
# set pin as output
GPIO.setup(PIN, GPI... | <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: BCM is the numbering that is engraved on the Raspberry Pi case we use and that you can also find back on the printed Pinout schema (BCM stands f... |
4,923 | <ASSISTANT_TASK:>
Python Code:
# USAGE: Equal-Weight Portfolio.
# 1) if 'exclude_non_overlapping=True' below, the portfolio will only contains
# days which are available across all of the algo return timeseries.
#
# if 'exclude_non_overlapping=False' then the portfolio returned will span from the
# earliest ... | <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: Volatility-weighted Portfolio (using just np.std as weighting metric)
Step2: Volatility-weighted Portfolio (with constraint of no asset weight ... |
4,924 | <ASSISTANT_TASK:>
Python Code:
##Some code to run at the beginning of the file, to be able to show images in the notebook
##Don't worry about this cell
#Print the plots in this screen
%matplotlib inline
#Be able to plot images saved in the hard drive
from IPython.display import Image
#Make the notebook wider
from IPy... | <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: 3. Dimensionality reduction
Step2: Correlation between variables
Step3: Revenue, employees and assets are highly correlated.
Step4: 3.1 Combi... |
4,925 | <ASSISTANT_TASK:>
Python Code:
# As usual, a bit of setup
import time, os, json
import numpy as np
import matplotlib.pyplot as plt
from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array
from cs231n.rnn_layers import *
from cs231n.captioning_solver import *
from cs231n.classifiers.rnn i... | <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: Next Character Prediction with RNN's
Step2: In the above code, we reformatedd X_train, X_val and X_test to timed parts so that they are suitabl... |
4,926 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt
#Bibliotecas necessárias
from numpy.random import shuffle, randint, choice
lista = []
for i in range (1,1001):
numero = randint (1,7)
lista.append(numero)
plt.hist(lista,6,normed = True)
plt.axis([1,6,0,0.25])... | <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: <font color='blue'>Exercício 1</font>
Step2: B
Step3: B
|
4,927 | <ASSISTANT_TASK:>
Python Code:
import sympy #symbolic algebra library
import sympy.physics.mechanics as mech
import control #control analysis library
sympy.init_printing(use_latex='mathjax')
from IPython.display import display
%matplotlib inline
%load_ext autoreload
%autoreload 2
import px4_logutil
import pylab as pl
... | <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: Define BKE Function
Step2: Define Symbolic Variables
Step3: Dynamics Analysis
Step4: Define Points of Interest
Step5: Creation of the Bodies... |
4,928 | <ASSISTANT_TASK:>
Python Code:
# Some magic to make plots appear within the notebook
%matplotlib inline
import numpy as np # In case we need to use numpy
import pymt.models
model = pymt.models.Child()
help(model)
rm -rf _model # Clean up for the next step
config_file, initdir = model.setup('_model',
... | <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: Run CHILD in PyMT
Step2: You can now see the help information for Child. This time, have a look under the Parameters section (you may have to s... |
4,929 | <ASSISTANT_TASK:>
Python Code:
import math
"{:03}".format(1)
"{:.<9}".format(3)
"{:.<9}".format(11)
"{:.>9}".format(3)
"{:.>9}".format(11)
"{:.=9}".format(3)
"{:.=9}".format(11)
"{:.^9}".format(3)
"{:.^9}".format(11)
"{:+}".format(3)
"{:+}".format(-3)
"{:-}".format(3)
"{:-}".format(-3)
"{: }".format(3)
"{: }".format(... | <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: Short documentation
Step2: Sign
Step3: Width
Step4: Precision
Step5: Width + Precision
Step6: Type
Step7: Float
Step8: Comparison between... |
4,930 | <ASSISTANT_TASK:>
Python Code:
%load_ext autoreload
%autoreload 2
import pymarc
import random
from bookwormMARC.bookwormMARC import BRecord
from bookwormMARC.bookwormMARC import parse_record
from bookwormMARC.hathi_methods import All_Hathi
from bookwormMARC.bookwormMARC import LCCallNumber
import bz2
import bookwormMAR... | <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: This converts a json object into a MARC class so the existing methods will work
Step2: This class has the base names of the files and my direct... |
4,931 | <ASSISTANT_TASK:>
Python Code:
import graphlab
sales = graphlab.SFrame('kc_house_data.gl/')
train_data,test_data = sales.random_split(.8,seed=0)
example_features = ['sqft_living', 'bedrooms', 'bathrooms']
example_model = graphlab.linear_regression.create(train_data, target = 'price', features = example_features,
... | <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: Load in house sales data
Step2: Split data into training and testing.
Step3: Learning a multiple regression model
Step4: Now that we have fit... |
4,932 | <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_star(starA='sun')
print b['sun']
b.set_value('teff', 1.0*u.solTeff)
b.set_value('rpole', 1.0*u... | <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: As always, let's do imports and initialize a logger and a new bundle. See Building a System for more details.
Step2: Setting Parameters
Step3:... |
4,933 | <ASSISTANT_TASK:>
Python Code:
import IPython
IPython.__version__
from IPython.display import YouTubeVideo
YouTubeVideo("05fA_DXgW-Y")
import numpy
numpy.__version__
from IPython.display import YouTubeVideo
YouTubeVideo("1zmV8lZsHF4")
import matplotlib
matplotlib.__version__
from IPython.display import YouTubeVide... | <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: Documentation
Step2: <a href="http
Step3: <i>"NumPy is an extension to the Python programming language, adding <b>support for large, multi-dim... |
4,934 | <ASSISTANT_TASK:>
Python Code:
from __future__ import division, print_function
from sklearn.datasets import make_circles
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split, GridSearchCV
from sklearn.metrics import accuracy_score
from sklearn.metrics import roc_curve, r... | <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: An Introduction to Machine Learning with Scikit-learn
Step2: Generating data
Step3: To avoid overfitting, we split the data into a training se... |
4,935 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
# Required packages sqlachemy, pandas (both are part of anaconda distribution, or can be installed with a python installer)
# One step requires the LSST stack, can be skipped for a particular OPSIM database in question... | <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: Read in OpSim output for modern versions
Step2: Read in the OpSim DataBase into a pandas dataFrame
Step3: The opsim database is a large file (... |
4,936 | <ASSISTANT_TASK:>
Python Code:
tree1 = tree.DecisionTreeClassifier( criterion ='entropy',random_state = 0)
fittedtree=tree1.fit( X_train, y_train)
#print metrics.confusion_matrix(y_train, fittedtree.predict(X_train))
#print metrics.accuracy_score(y_train, fittedtree.predict(X_train))
cross_validation.cross_val_score(... | <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: Load in the Data
Step2: Formatting & Identifying the Data
Step3: Exploring the Data
Step4: Because the TxDot Estimates are so highly correlat... |
4,937 | <ASSISTANT_TASK:>
Python Code:
PROJECT_ID = "<your-project-id>" #@param {type:"string"}
! gcloud config set project $PROJECT_ID
import sys
# If you are running this notebook in Colab, run this cell and follow the
# instructions to authenticate your GCP account. This provides access to your
# Cloud Storage bucket and l... | <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: Authenticate your GCP account
Step2: Create a Cloud Storage bucket
Step3: Only if your bucket doesn't already exist
Step4: Finally, validate ... |
4,938 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib
import numpy as np
import pandas as pd
import scipy.io
import matplotlib.pyplot as plt
from IPython.display import Image, display
import h2o
from h2o.estimators.deeplearning import H2OAutoEncoderEstimator
h2o.init()
!wget -c http://www.cl.cam.ac.uk/Re... | <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: http
Step3: We now need some code to read pgm files.
Step4: Let's import it to H2O
Step5: Reconstructing the hidden space
Step6: Then we imp... |
4,939 | <ASSISTANT_TASK:>
Python Code:
import openanalysis.tree_growth as TreeGrowth
from openanalysis.base_data_structures import PriorityQueue
def dijkstra(G, source=None): # This signature is must
if source is None: source = G.nodes()[0] # selecting root as source
V = G.nodes()
dist, prev = {}... | <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: Implementation Notes
Step2: Now, Let's implement the algorithm
Step3: Note how implementation looks similiar to the algorithm, except the if b... |
4,940 | <ASSISTANT_TASK:>
Python Code:
## matrix and vector tools
import pandas as pd
from pandas import DataFrame as df
from pandas import Series
import numpy as np
## sklearn
from sklearn.datasets import make_friedman1
from sklearn.feature_selection import RFE
from sklearn.svm import SVR
from sklearn.svm import SVC
from skle... | <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: Data Import and pre-processing
Step2: Data Pre-processing
Step3: Analysis I
Step4: Some PSSM shows deviation from expected normal distributio... |
4,941 | <ASSISTANT_TASK:>
Python Code:
# Author: Marijn van Vliet <w.m.vanvliet@gmail.com>
#
# License: BSD-3-Clause
import numpy as np
import mne
from mne.datasets import sample
from mne.minimum_norm import read_inverse_operator, apply_inverse
print(__doc__)
data_path = sample.data_path()
subjects_dir = data_path / 'subjects'... | <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: Plot the source estimate
Step2: Plot the activation in the direction of maximal power for this data
Step3: The normal is very similar
Step4: ... |
4,942 | <ASSISTANT_TASK:>
Python Code:
from IPython.display import Image
Image("Figures/EbbTideCurrent.jpg")
Image("Figures/SlackTide.jpg")
Image("Figures/FloodTideCurrent.jpg")
import numpy as np
import xarray as xr
import matplotlib.pyplot as plt
from ipywidgets import interact, interactive, fixed
from tydal.module3_utils... | <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: Slack Tide
Step2: Flood Tide
Step3: Tidal Currents Exploration
Step4: In the following interactive plot you can calculate the velocity of the... |
4,943 | <ASSISTANT_TASK:>
Python Code:
import urllib.request
import json
job = urllib.request.urlopen("http://ql.linea.gov.br/dashboard/api/job/?process=1").read()
api = json.loads(job)
mergedqa = api['results'][0]['output']
print('mergedQA loaded!')
import sys
sys.path.append('/app/qlf/backend/framework/qlf')
from bokeh.io i... | <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: 1.2 Loading Bokeh and adding QLF ploting code to the python path
Step2: 2. Wedge Plot
Step4: 2.2 Creating tooltip format
Step5: 2.3 Showing a... |
4,944 | <ASSISTANT_TASK:>
Python Code:
# Hit shift + enter or use the run button to run this cell and see the results
print 'hello world'
# The last line of every code cell will be displayed by default,
# even if you don't print it. Run this cell to see how this works.
2 + 2 # The result of this line will not be displayed
3 +... | <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: Nicely formatted results
Step2: Creating cells
Step3: Once you've run all three cells, try modifying the first one to set class_name to your n... |
4,945 | <ASSISTANT_TASK:>
Python Code:
from read_video import *
import numpy as np
import matplotlib.pyplot as plt
import cv2
video_to_read = "/Users/cody/test.mov"
max_buf_size_mb = 500;
%time frame_buffer = ReadVideo(video_to_read, max_buf_size_mb)
frame_buffer.nbytes
print("Matrix shape: {}".format(frame_buffer.shape))
... | <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: Time Critical Path
Step2: Plot First and Last Frames
Step3: Reshape the Data for Clustering
Step4: Begin Heavy Lifting
Step5: Analysis
Step6... |
4,946 | <ASSISTANT_TASK:>
Python Code:
q = select fd.id, fd.name, fd.state,
COALESCE(fd.population, 0) as population,
sum(rm.structure_count) as structure_count,
fd.population / sum(rm.structure_count)::float as people_per_structure
from firestation_firedepartment fd
inner join firestation_firedepartmentriskmod... | <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: People per structure used for sanity check on parcel counts by department
Step3: Get owned census-tracts for department and count parcels
Step5... |
4,947 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import sys
import os
import platform
import numpy as np
import matplotlib.pyplot as plt
import flopy
#Set name of MODFLOW exe
# assumes executable is in users path statement
version = 'mf2005'
exe_name = 'mf2005'
if platform.system() == 'Windows':
exe_name = 'mf200... | <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: Each Util2d instance now has a .format attribute, which is an ArrayFormat instance
Step2: The ArrayFormat class exposes each of the attributes ... |
4,948 | <ASSISTANT_TASK:>
Python Code::
import tensorflow as tf
from tensorflow.keras.losses import CategoricalCrossentropy
y_true = [[0, 1, 0], [1, 0, 0]]
y_pred = [[0.15, 0.75, 0.1], [0.75, 0.15, 0.1]]
cross_entropy_loss = CategoricalCrossentropy()
print(cross_entropy_loss(y_true, y_pred).numpy())
import tensorflow as tf
fro... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
|
4,949 | <ASSISTANT_TASK:>
Python Code:
# Copyright 2018 The TensorFlow Hub Authors. All Rights Reserved.
#
# 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
#
# http://www.apache.org/licenses/LICENSE... | <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: Predict Shakespeare with Cloud TPUs and Keras
Step2: Data, model, and training
Step4: Build the tf.data.Dataset
Step6: Build the model
Step7:... |
4,950 | <ASSISTANT_TASK:>
Python Code:
import cv2
img = cv2.imread('test.png',0)
resized_image = cv2.resize(img, (28, 28), interpolation = cv2.INTER_AREA)
test_images[test_images>0]=1
train_images[train_images>0]=1
<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: convert grey scale image to binary
|
4,951 | <ASSISTANT_TASK:>
Python Code:
# import pandas as pd
import pandas as pd
# Create two lists
i = [1,2,3,4,5]
j = [1,2,3,4,5]
# List every single x in i with every single y (i.e. Cartesian product)
[(x, y) for x in i for y in j]
# An alternative way to do the cartesian product
# import itertools
import itertools
# for... | <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: Create Data
Step2: Calculate Cartesian Product (Method 1)
Step3: Calculate Cartesian Product (Method 2)
|
4,952 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import matplotlib.pyplot as plt
from scipy import stats
import numpy as np
class Random_Variable:
def __init__(self, name, values, probability_distribution):
self.name = name
self.values = values
self.probability_distribution = pro... | <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: We can simulate the generation process of conditianal probabilities by appropriately sampling from three random variables.
Step2: Notice that w... |
4,953 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("netflix_titles.csv")
df
df.type.value_counts().plot(kind="bar")
# para apresentar os dois gráficos juntos, precisamos primeiro criar uma figura
fig = plt.figure(1, figsize=(20,10))
# podemos também... | <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: Passo 1
Step2: Nosso dataset contém 6234 elementos, com 12 atributos cada, além de possuir missing data.
Step3: Adições ao passar do tempo
Ste... |
4,954 | <ASSISTANT_TASK:>
Python Code:
name=input('请输入你的名字')
print(name)
date=float(input('请输入你的生日'))
if 1.19<date<2.19:
print('你是水瓶座')
elif 2.18<date<3.21:
print('你是双鱼座')
elif 3.20<date<4.20:
print('你是白羊座')
elif 4.19<date<5.21:
print('你是金牛座')
elif 5.20<date<6.22:
print('你是双子座')
elif 6.21<date<7.23:
pri... | <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: 写程序，可由键盘读入两个整数m与n(n不等于0)，询问用户意图，如果要求和则计算从m到n的和输出，如果要乘积则计算从m到n的积并输出，如果要求余数则计算m除以n的余数的值并输出，否则则计算m整除n的值并输出。
Step2: 写程序，能够根据北京雾霾PM2.5数值给出对应的防护建议。如当... |
4,955 | <ASSISTANT_TASK:>
Python Code:
!sudo chown -R jupyter:jupyter /home/jupyter/imported/formparsing.ipynb
from IPython.display import Markdown as md
### change to reflect your notebook
_nb_repo = 'training-data-analyst'
_nb_loc = "blogs/form_parser/formparsing.ipynb"
_nb_title = "Form Parsing Using Google Cloud Document A... | <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: Form Parsing using Google Cloud Document AI
Step2: Document
Step3: Note
Step4: Enable Document AI
Step5: Create a service account authorizat... |
4,956 | <ASSISTANT_TASK:>
Python Code:
%matplotlib widget
# To ignore warnings (http://stackoverflow.com/questions/9031783/hide-all-warnings-in-ipython)
import warnings
warnings.filterwarnings('ignore')
import IPython
import math
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d imp... | <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: Interactive Matplotlib plots in Jupyter
Step2: Example
Step3: Plotly
Step4: https
Step5: Make a first widget
Step6: Link the widget to a fu... |
4,957 | <ASSISTANT_TASK:>
Python Code:
#First, the libraries. And, make sure matplotlib shows up in jupyter notebook! hurrah
import pandas as pd
from sklearn import datasets
from pandas.tools.plotting import scatter_matrix
import matplotlib.pyplot as plt
%matplotlib inline
iris = datasets.load_iris()
x = iris.data[:,2:] # the ... | <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: 2. Redo the model with a 75% - 25% training/test split and compare the results. Are they better or worse than before? Discuss why this may be.
S... |
4,958 | <ASSISTANT_TASK:>
Python Code:
from IPython.display import Image
Image('images/02_network_flowchart.png')
Image('images/02_convolution.png')
%matplotlib inline
import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
from sklearn.metrics import confusion_matrix
import time
from datetime import timed... | <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: The input image is processed in the first convolutional layer using the filter-weights. This results in 16 new images, one for each filter in th... |
4,959 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
import seaborn as sns
import networkx as nx
K_5=nx.complete_graph(5)
nx.draw(K_5)
def complete_deg(n):
Return the integer valued degree matrix D for the complete graph K_n.
a=np.zeros((n,n))
np.f... | <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: Complete graph Laplacian
Step3: The Laplacian Matrix is a matrix that is extremely important in graph theory and numerical analysis. It is defi... |
4,960 | <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: TensorFlow を使用した Azure Blob Storage
Step2: Azurite のインストールとセットアップ（オプション）
Step3: TensorFlow を使用した Azure Storage のファイルの読み取りと書き込み
|
4,961 | <ASSISTANT_TASK:>
Python Code:
import mne
root = mne.datasets.sample.data_path() / 'MEG' / 'sample'
raw_file = root / 'sample_audvis_raw.fif'
raw = mne.io.read_raw_fif(raw_file, verbose=False)
events = mne.find_events(raw, stim_channel='STI 014')
# we'll skip the "face" and "buttonpress" conditions to save memory
even... | <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: Creating Evoked objects from Epochs
Step2: You may have noticed that MNE informed us that "baseline correction" has been
Step3: Basic visualiz... |
4,962 | <ASSISTANT_TASK:>
Python Code:
from sympy import symbols, nonlinsolve
pc, pa, p1, p2, c1, c2 = symbols('pc pa p1 p2 c1 c2')
expr1 = ( (pc*(p1-pa) ) / (p1*(pc-pa)) - c1)
expr2 = ( (pc*(p2-pa) ) / (p2*(pc-pa)) - c2)
expr1 = expr1.subs(p1, 0.904)
expr1 = expr1.subs(c1, 0.628)
print(expr1)
expr2 = expr2.subs(p2, 0.... | <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: Next we need to define six different variables
Step2: Now we can create two SymPy expressions that represent our two equations. We can subtract... |
4,963 | <ASSISTANT_TASK:>
Python Code:
# DO NOT EDIT !
from pyesdoc.ipython.model_topic import NotebookOutput
# DO NOT EDIT !
DOC = NotebookOutput('cmip6', 'cmcc', 'cmcc-esm2-sr5', 'ocnbgchem')
# 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
<END_TASK>
<USER_TASK:>
Description:
Step1: Document Authors
Step2: Document Contributors
Step3: Document Publication
Step4: Document Table of Contents
Step5: 1.2. Model Name
Step6: 1... |
4,964 | <ASSISTANT_TASK:>
Python Code:
# Numpy
import numpy as np
# Scipy
from scipy import stats
from scipy import linspace
# Plotly
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import plotly.graph_objs as go
init_notebook_mode(connected=True) # Offline plotting
# Probabilities
P_G = 0.8
# Re... | <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: Define Common Parameters
Step2: Question 1.
Step3: Run the simulation using the Binomial process which is equivalent to performing a very larg... |
4,965 | <ASSISTANT_TASK:>
Python Code:
import math
def vol(rad):
return 4/3*math.pi*(rad**(3))
vol(2)
def ran_check(num,low,high):
return low <= num <= high
ran_check(3,4,5)
ran_check(3,1,100)
def ran_bool(num,low,high):
return low <= num <= high
ran_bool(3,1,10)
def up_low(s):
nUpper = 0
nLower ... | <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: Write a function that checks whether a number is in a given range (Inclusive of high and low)
Step2: If you only wanted to return a boolean
Ste... |
4,966 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
iris = pd.read_csv('data/iris.csv')
# Display the first few rows of the dataframe
iris.head()
iris.count()
iris.dtypes
%matplotlib inline
import seaborn as sns
import matplotlib.pyplot as plt
sns.FacetGrid(iris, hue="Species", size=6) \
.map(plt.scatter, "SepalLe... | <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: We can see the number of records in each column to ensure all of our datapoints are complete
Step2: And we can see the data type for each colum... |
4,967 | <ASSISTANT_TASK:>
Python Code:
from python.f06 import *
%matplotlib inline
# try varying p0
# then set kact_s < 0.1, and try varying p0
interact(plot_switch, k=fixed(4), n=fixed(3))
interact(plot_switch_eqns, k=fixed(4), n=fixed(3))
# try kdecay = 0.13
interact(plot_switch_ss, k=fixed(4)) # n = 2
interact(plot_hh)
... | <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: The steady-states are solutions to
Step2: So we see that the qualitative behaviour of the system depends on whether the maximum slope of the Hi... |
4,968 | <ASSISTANT_TASK:>
Python Code:
import turtle # necesitamos un módulo llamado turtle para esta parte
ventana = turtle.Screen() # crea una ventana para dibujar
henry = turtle.Turtle() # crea una tortuga (cursor) que se llama henry
henry.forward(150) # le decimos a henry qu... | <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: Trata de dibujar un cuadrado de 150 pasos de lado.
Step2: ¿Para qué escribimos turtle.Turtle() para obtener un nuevo objeto Turtle (tortuga)?
S... |
4,969 | <ASSISTANT_TASK:>
Python Code:
# setting up our imports
from gensim.models import ldaseqmodel
from gensim.corpora import Dictionary, bleicorpus
import numpy
from gensim.matutils import hellinger
# loading our corpus and dictionary
try:
dictionary = Dictionary.load('datasets/news_dictionary')
except FileNotFoundErr... | <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: We will be loading the corpus and dictionary from disk. Here our corpus in the Blei corpus format, but it can be any iterable corpus.
Step2: Fo... |
4,970 | <ASSISTANT_TASK:>
Python Code:
A = (np.arange(9) - 4).reshape((3, 3))
A
np.linalg.norm(A)
np.trace(np.eye(3))
A = np.array([[1, 2], [3, 4]])
A
np.linalg.det(A)
A = np.array([[1.0, 3.0], [1.0, 4.0]])
A
B = sp.linalg.logm(A)
B
sp.linalg.expm(B)
<END_TASK> | <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: 대각 성분
Step2: 행렬식
Step3: 전치 행렬과 대칭 행렬
|
4,971 | <ASSISTANT_TASK:>
Python Code:
from beakerx import *
f = EasyForm("Form and Run")
f.addTextField("first")
f['first'] = "First"
f.addTextField("last")
f['last'] = "Last"
f.addButton("Go!", tag="run")
f
"Good morning " + f["first"] + " " + f["last"]
f['last'][::-1] + '...' + f['first']
f['first'] = 'Beaker'
f['last'] =... | <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: You can access the values from the form by treating it as an array indexed on the field names
Step2: The array works both ways, so you set defa... |
4,972 | <ASSISTANT_TASK:>
Python Code:
from iuvs import io
%autocall 1
import os
files = !ls ~/data/iuvs/level1b/*.gz
for file in files:
print(os.path.basename(file))
l1b = io.L1BReader(files[-1])
l1b.DarkIntegration
l1b.detector_dark.shape
def compare_darks(dark1, dark2):
fig, ax = subplots(nrows=2, figsize=(10,8))... | <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: loading file with very lighty dark
Step2: The DarkIntegration data shows that there are 2 observations of darks, approx 22 minutes apart
Step3:... |
4,973 | <ASSISTANT_TASK:>
Python Code:
!pip install -U tfx
# getting the code directly from the repo
x = !pwd
if 'feature_selection' not in str(x):
!git clone -b main https://github.com/tensorflow/tfx-addons.git
%cd tfx-addons/tfx_addons/feature_selection
import os
import pprint
import tempfile
import urllib
import absl
... | <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: Import packages
Step2: Palmer Penguins example pipeline
Step3: Run TFX Components
Step4: As seen above, .selected_features contains the featu... |
4,974 | <ASSISTANT_TASK:>
Python Code:
import numpy
import nibabel
import os
from haxby_data import HaxbyData
from nilearn.input_data import NiftiMasker
%matplotlib inline
import matplotlib.pyplot as plt
import sklearn.manifold
import scipy.cluster.hierarchy
datadir='/home/vagrant/nilearn_data/haxby2001/subj2'
print('Using dat... | <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: Let's ask the following question
Step2: Let's test whether similarity is higher for faces across runs within-condition versus similarity betwee... |
4,975 | <ASSISTANT_TASK:>
Python Code:
# Converting real to integer
print 'int(3.14) =', int(3.14)
# Converting integer to real
print 'float(5) =', float(5)
# Calculation between integer and real results in real
print '5.0 / 2 + 3 = ', 5.0 / 2 + 3
# Integers in other base
print "int('20', 8) =", int('20', 8) # base 8
print "in... | <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: The real numbers can also be represented in scientific notation, for example
Step2: The operator % is used for string interpolation. The interp... |
4,976 | <ASSISTANT_TASK:>
Python Code:
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
x = np.arange(0, 100)
def square(x):
return (x % 50) < 25
plt.plot(x, square(x))
import magma as m
m.set_mantle_target("ice40")
import mantle
from loam.boards.icestick import IceStick
icestick = IceStick()
icestick... | <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: To implement our square wave in magma, we start by importing the IceStick module from loam. We instance the IceStick and turn on the Clock and J... |
4,977 | <ASSISTANT_TASK:>
Python Code:
# As usual, a bit of setup
import time, os, json
import numpy as np
import matplotlib.pyplot as plt
from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array
from cs231n.rnn_layers import *
from cs231n.captioning_solver import CaptioningSolver
from cs231n.cl... | <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: Image Captioning with RNNs
Step2: Microsoft COCO
Step3: Look at the data
Step4: Recurrent Neural Networks
Step5: Vanilla RNN
Step6: Vanilla... |
4,978 | <ASSISTANT_TASK:>
Python Code:
p = ppp.ShiftingPerformance()
o2 = ppp.PROPELLANTS['OXYGEN (GAS)']
ch4 = ppp.PROPELLANTS['METHANE']
p.add_propellants([(ch4, 1.0), (o2, 1.0)])
p.set_state(P=10, Pe=0.01)
print p
for k,v in p.composition.items():
print "{} : ".format(k)
pprint.pprint(v[0:8], indent=4)
OF = np.lin... | <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: Equilibrium with condensed species
Step2: Smoky white space shuttle SRB exhaust
Step3: And one final condensed species case
|
4,979 | <ASSISTANT_TASK:>
Python Code:
url1 = "http://data.insideairbnb.com/united-states/"
url2 = "ny/new-york-city/2016-02-02/data/listings.csv.gz"
full_df = pd.read_csv(url1+url2, compression="gzip")
full_df.head()
df = full_df[["id", "price", "number_of_reviews", "review_scores_rating"]]
df.head()
df.replace({'price': {'... | <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: We don't want all data, so let's focus on a few variables.
Step2: Need to convert prices to floats
Step3: We might think that better apartment... |
4,980 | <ASSISTANT_TASK:>
Python Code:
from __future__ import (absolute_import, division,
print_function, unicode_literals)
from builtins import *
# Note: This step can take a while to run.
from io import BytesIO, TextIOWrapper
from zipfile import ZipFile
import urllib.request
import csv
from shapely.g... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step2: Prepare emissions
Step3: Now, let's inspect our emissions to ensure they look resonable.
Step4: Fig. 1
Step5: Summarizing results
Step6: We'... |
4,981 | <ASSISTANT_TASK:>
Python Code:
from IPython.display import IFrame
IFrame('http://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data', width=300, height=200)
# import load_iris function from datasets module
from sklearn.datasets import load_iris
# save "bunch" object containing iris dataset and its attrib... | <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: 150 observations
Step2: scikit-learn 4-step modeling pattern
Step 1
Step3: Step 2
Step4: Name of the object does not matter
Step5: Step 3
St... |
4,982 | <ASSISTANT_TASK:>
Python Code:
import pyspark.sql.types as typ
labels = [
('INFANT_ALIVE_AT_REPORT', typ.StringType()),
('BIRTH_YEAR', typ.IntegerType()),
('BIRTH_MONTH', typ.IntegerType()),
('BIRTH_PLACE', typ.StringType()),
('MOTHER_AGE_YEARS', typ.IntegerType()),
('MOTHER_RACE_6CODE', typ.Str... | <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: Next, we load the data.
Step2: Specify our recode dictionary.
Step3: Our goal is to predict whether the 'INFANT_ALIVE_AT_REPORT' is either 1 o... |
4,983 | <ASSISTANT_TASK:>
Python Code:
#importar los paquetes que se van a usar
import pandas as pd
import pandas_datareader.data as web
import numpy as np
import datetime
from datetime import datetime
import scipy.stats as stats
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
#algunas opciones para Py... | <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: Una vez cargados los paquetes, es necesario definir los tickers de las acciones que se usarán, la fuente de descarga (Yahoo en este caso, pero t... |
4,984 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
from __future__ import print_function
from __future__ import division
import numpy as np
from the_collector import BagReader
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import pyplot as plt
from math import sin, cos, atan2, pi, sqrt, asin
from math import ra... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step6: NXP IMU
Step7: Run Raw Compass Performance
Step8: Now using this bias, we should get better performance.
|
4,985 | <ASSISTANT_TASK:>
Python Code:
from IPython.core.display import Image
Image(filename='./imgs/recsys_arch.png')
import pandas as pd
unames = ['user_id', 'username']
users = pd.read_table('./data/users_set.dat',
sep='|', header=None, names=unames)
rnames = ['user_id', 'course_id', 'rating']
rating... | <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: The CourseTalk dataset
Step2: Using pd.merge we get it all into one big DataFrame.
Step3: Collaborative filtering
Step4: Now let's filter do... |
4,986 | <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: Hamiltonian Time Evolution and Expectation Value Computation
Step2: Application of one- and two-body fermionic gates
Step3: Exact evolution im... |
4,987 | <ASSISTANT_TASK:>
Python Code:
import numpy as np
A = np.mat('1 2 3; 4 5 6; 7 8 9')
print "Creation from string:\n", A
# 转置
print "Transpose A :\n", A.T
# 逆矩阵
print "Inverse A :\n", A.I
# 通过NumPy数组创建矩阵
print "Creation from array: \n", np.mat(np.arange(9).reshape(3,3))
A = np.eye(2)
print "A:\n", A
B = 2 * A
print "B:... | <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. 矩阵
Step2: 1.2 从已有矩阵创建新矩阵
Step3: 2. 线性代数
Step4: 2.2 行列式
Step5: 2.3 求解线性方程组
Step6: 2.4 特征值和特征向量
Step7: 2.5 奇异值分解
Step8: *号表示共轭转置
Step9: ... |
4,988 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
# import a ticker formatting class from matplotlib
from matplotlib.ticker import FuncFormatter
%matplotlib inline
# create a data frame
df = pd.read_csv('data/mlb.csv')
# use head to check it out
df.head()
# group by team, aggregate on sum
grouped_by_team = df[['TEA... | <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:
Step1: Let Jupyter know that you're gonna be charting inline
Step2: Read in MLB data
Step3: Prep data for charting
Step4: Make a horizonal bar chart... |
4,989 | <ASSISTANT_TASK:>
Python Code:
import warnings
warnings.filterwarnings('ignore')
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
x = np.linspace(0,1,100)
def pltsin(freq, ampl):
y = ampl*np.sin(2*np.pi*x*freq)
plt.plot(x, y)
plt.ylim(-10,10) # fix limits of the vertical axis
pltsin... | <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: In the beginning there was a sine wave
Step2: Next, define a 1d array to pass into sin() function.
Step3: Define a trivial function to plot a ... |
4,990 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
%autosave 0
import sys, os
sys.path.insert(0, os.path.expanduser('~/work/git/github/taku-y/bmlingam'))
sys.path.insert(0, os.path.expanduser('~/work/git/github/pymc-devs/pymc3'))
import theano
theano.config.floatX = 'float64'
from copy import deepcopy
import hashlib
imp... | <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: Experimental condition
Step2: Program
Step3: Append results to dataframe
Step4: Save and load data frame
Step6: Perform experiment over cond... |
4,991 | <ASSISTANT_TASK:>
Python Code:
%matplotlib inline
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set()
from scipy.optimize import fmin
data = pd.DataFrame({'x':np.array([2.2, 4.3, 5.1, 5.8, 6.4, 8.0]),
'y':np.array([0.4, 10.1, 14.0, 10.9, 15.4, 18.5]... | <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: We can build a model to characterize the relationship between $X$ and $Y$, recognizing that additional factors other than $X$ (the ones we have ... |
4,992 | <ASSISTANT_TASK:>
Python Code:
# These libraries are needed for the pygrib library in Colab.
# Note that is needed if you install pygrib using pip.
# If you use conda, the libraries will be installed automatically.
! apt-get install libeccodes-dev libproj-dev
# Install the python packages
! pip install pyproj
! pip in... | <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: Install pysteps
Step2: Getting the example data
Step3: Next, we need to create a default configuration file that points to the downloaded data... |
4,993 | <ASSISTANT_TASK:>
Python Code:
import graphlab
import numpy as np
sales = graphlab.SFrame('kc_house_data.gl/')
from math import log, sqrt
sales['sqft_living_sqrt'] = sales['sqft_living'].apply(sqrt)
sales['sqft_lot_sqrt'] = sales['sqft_lot'].apply(sqrt)
sales['bedrooms_square'] = sales['bedrooms']*sales['bedrooms']
#... | <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: Load in house sales data
Step2: Create new features
Step3: Squaring bedrooms will increase the separation between not many bedrooms (e.g. 1) a... |
4,994 | <ASSISTANT_TASK:>
Python Code:
a = 5
print(a)
print(type(a))
print(hex(id(a)))
a = 'five'
print(a)
print(type(a))
print(hex(id(a)))
def echo(a):
return a
print(echo(5))
print(echo('five'))
def sum(a, b):
return a + b
l = [1, 2, 3]
print(len(l))
s = "Just a sentence"
print(len(s))
d = {'a': 1, 'b': 2}
print... | <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: This little example shows a lot about the Python typing system. The variable a is not statically declared, after all it can contain only one typ... |
4,995 | <ASSISTANT_TASK:>
Python Code:
import matplotlib
matplotlib.use("Agg")
import fredpy as fp
import pandas as pd
import matplotlib.pyplot as plt
plt.style.use('classic')
import matplotlib.animation as animation
import os
import time
# Approximately when the program started
start_time = time.time()
# start and end dates
s... | <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: Download Data and Merge into DataFrame
Step2: Construct Figure
Step3: Create Animation and Save
Step4: Print Time to Run
|
4,996 | <ASSISTANT_TASK:>
Python Code:
PATH='data/aclImdb/'
names = ['neg','pos']
%ls {PATH}
%ls {PATH}train
%ls {PATH}train/pos | head
trn,trn_y = texts_from_folders(f'{PATH}train',names)
val,val_y = texts_from_folders(f'{PATH}test',names)
trn[0]
trn_y[0]
veczr = CountVectorizer(tokenizer=tokenize)
trn_term_doc = veczr.fit... | <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: Here is the text of the first review
Step2: CountVectorizer converts a collection of text documents to a matrix of token counts (part of sklear... |
4,997 | <ASSISTANT_TASK:>
Python Code:
from os import path
# Third-party
from astropy.io import ascii
from astropy.table import Table
import astropy.coordinates as coord
import astropy.units as u
from astropy.constants import G, c
import matplotlib.pyplot as plt
from matplotlib.colors import Normalize
import numpy as np
plt.st... | <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: APW RV's
Step2: RAVE
Step3: Get only ones where both stars have RV measurements
|
4,998 | <ASSISTANT_TASK:>
Python Code:
import pandas as pd
from simpledbf import Dbf5
import geopandas as gpd
import requests
import zipfile
import io
import os
%matplotlib inline
PROVINCIAS_URL = "http://www.ign.gob.ar/descargas/geodatos/SHAPES/ign_provincia.zip"
DEPARTAMENTOS_URL = "http://www.ign.gob.ar/descargas/geodatos/S... | <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: Provincias
Step2: Departamentos
Step3: Municipios
Step4: Los polígonos de algunos municipios están separados. Se juntan para solucionar la du... |
4,999 | <ASSISTANT_TASK:>
Python Code:
from cfg import read_grammar_rules
from cfg import WCFG
from rule import Rule
from symbol import is_terminal, is_nonterminal, make_symbol
# for convenience we will use `defaultdict` from the package collections
# which allows us to define a default constructor for values
from collections... | <SYSTEM_TASK:>
Given the following text description, write Python code to implement the functionality described below step by step
<END_TASK>
<USER_TASK:>
Description:
Step5: CKY parser
Step10: Agenda
Step11: Let's see how it works
Step12: we can push items into the agenda
Step13: and the agenda will make sure the... |
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