ygl1020/code_generation_ft_dataset · Datasets at Hugging Face

text stringlengths 4 1.08k
Create a dictionary `d` from list `iterable`,"d = {key: value for (key, value) in iterable}"
Create a dictionary `d` from list of key value pairs `iterable`,"d = {k: v for (k, v) in iterable}"
"round off entries in dataframe `df` column `Alabama_exp` to two decimal places, and entries in column `Credit_exp` to three decimal places","df.round({'Alabama_exp': 2, 'Credit_exp': 3})"
Make function `WRITEFUNCTION` output nothing in curl `p`,"p.setopt(pycurl.WRITEFUNCTION, lambda x: None)"
return a random word from a word list 'words',print(random.choice(words))
Find a max value of the key `count` in a nested dictionary `d`,"max(d, key=lambda x: d[x]['count'])"
"get list of string elements in string `data` delimited by commas, putting `0` in place of empty strings","[(int(x) if x else 0) for x in data.split(',')]"
"split string `s` into a list of strings based on ',' then replace empty strings with zero",""""""","""""".join(x or '0' for x in s.split(','))"
regular expression match nothing,re.compile('$^')
regular expression syntax for not to match anything,re.compile('.\\A\|.\\A*\|.\\A+')
create a regular expression object with a pattern that will match nothing,re.compile('a^')
drop all columns in dataframe `df` that holds a maximum value bigger than 0,df.columns[df.max() > 0]
check if date `yourdatetime` is equal to today's date,yourdatetime.date() == datetime.today().date()
print bold text 'Hello',print('\x1b[1m' + 'Hello')
remove 20 symbols in front of '.' in string 'unique12345678901234567890.mkv',"re.sub('.{20}(.mkv)', '\\1', 'unique12345678901234567890.mkv')"
"Define a list with string values `['a', 'c', 'b', 'obj']`","['a', 'c', 'b', 'obj']"
substitute multiple whitespace with single whitespace in string `mystring`,""""""" """""".join(mystring.split())"
print a floating point number 2.345e-67 without any truncation,print('{:.100f}'.format(2.345e-67))
Check if key 'key1' in `dict`,('key1' in dict)
Check if key 'a' in `d`,('a' in d)
Check if key 'c' in `d`,('c' in d)
Check if a given key 'key1' exists in dictionary `dict`,"if ('key1' in dict):
pass"
Check if a given key `key` exists in dictionary `d`,"if (key in d):
pass"
"create a django query for a list of values `1, 4, 7`","Blog.objects.filter(pk__in=[1, 4, 7])"
read a binary file 'test/test.pdf',"f = open('test/test.pdf', 'rb')"
"insert ' ' between every three digit before '.' and replace ',' with '.' in 12345678.46","format(12345678.46, ',').replace(',', ' ').replace('.', ',')"
Join pandas data frame `frame_1` and `frame_2` with left join by `county_ID` and right join by `countyid`,"pd.merge(frame_1, frame_2, left_on='county_ID', right_on='countyid')"
calculate ratio of sparsity in a numpy array `a`,np.isnan(a).sum() / np.prod(a.shape)
reverse sort items in default dictionary `cityPopulation` by the third item in each key's list of values,"sorted(iter(cityPopulation.items()), key=lambda k_v: k_v[1][2], reverse=True)"
Sort dictionary `u` in ascending order based on second elements of its values,"sorted(list(u.items()), key=lambda v: v[1])"
reverse sort dictionary `d` based on its values,"sorted(list(d.items()), key=lambda k_v: k_v[1], reverse=True)"
sorting a defaultdict `d` by value,"sorted(list(d.items()), key=lambda k_v: k_v[1])"
open a file 'bundled-resource.jpg' in the same directory as a python script,"f = open(os.path.join(__location__, 'bundled-resource.jpg'))"
open the file 'words.txt' in 'rU' mode,"f = open('words.txt', 'rU')"
divide the values with same keys of two dictionary `d1` and `d2`,{k: (float(d2[k]) / d1[k]) for k in d2}
divide the value for each key `k` in dict `d2` by the value for the same key `k` in dict `d1`,{k: (d2[k] / d1[k]) for k in list(d1.keys()) & d2}
divide values associated with each key in dictionary `d1` from values associated with the same key in dictionary `d2`,"dict((k, float(d2[k]) / d1[k]) for k in d2)"
write dataframe `df` to csv file `filename` with dates formatted as yearmonthday `%Y%m%d`,"df.to_csv(filename, date_format='%Y%m%d')"
remove a key 'key' from a dictionary `my_dict`,"my_dict.pop('key', None)"
replace NaN values in array `a` with zeros,"b = np.where(np.isnan(a), 0, a)"
subprocess run command 'start command -flags arguments' through the shell,"subprocess.call('start command -flags arguments', shell=True)"
run command 'command -flags arguments &' on command line tools as separate processes,"subprocess.call('command -flags arguments &', shell=True)"
replace percent-encoded code in request `f` to their single-character equivalent,"f = urllib.request.urlopen(url, urllib.parse.unquote(urllib.parse.urlencode(params)))"
"remove white spaces from the end of string "" xyz """,""""""" xyz """""".rstrip()"
Replace special characters in utf-8 encoded string `s` using the %xx escape,urllib.parse.quote(s.encode('utf-8'))
URL encoding in python,urllib.parse.quote_plus('a b')
Create an array containing the conversion of string '100110' into separate elements,"np.array(map(int, '100110'))"
convert a string 'mystr' to numpy array of integer values,"print(np.array(list(mystr), dtype=int))"
convert an rgb image 'messi5.jpg' into grayscale `img`,"img = cv2.imread('messi5.jpg', 0)"
sort list `lst` in descending order based on the second item of each tuple in it,"lst.sort(key=lambda x: x[2], reverse=True)"
How to find all occurrences of an element in a list?,"indices = [i for i, x in enumerate(my_list) if x == 'whatever']"
execute shell command 'grep -r PASSED .log \| sort -u \| wc -l' with a \| pipe in it,"subprocess.call('grep -r PASSED .log \| sort -u \| wc -l', shell=True)"
count the number of trailing question marks in string `my_text`,len(my_text) - len(my_text.rstrip('?'))
remove dollar sign '$' from second to last column data in dataframe 'df' and convert the data into floats,"df[df.columns[1:]].replace('[\\$,]', '', regex=True).astype(float)"
Merge column 'word' in dataframe `df2` with column 'word' on dataframe `df1`,"df1.merge(df2, how='left', on='word')"
switch positions of each two adjacent characters in string `a`,"print(''.join(''.join(i) for i in zip(a2, a1)) + a[-1] if len(a) % 2 else '')"
make a window `root` jump to the front,"root.attributes('-topmost', True)"
make a window `root` jump to the front,root.lift()
Convert list of booleans `walls` into a hex string,"hex(int(''.join([str(int(b)) for b in walls]), 2))"
convert the sum of list `walls` into a hex presentation,"hex(sum(b << i for i, b in enumerate(reversed(walls))))"
"print the string `Total score for`, the value of the variable `name`, the string `is` and the value of the variable `score` in one print call.","print(('Total score for', name, 'is', score))"
print multiple arguments 'name' and 'score'.,"print('Total score for {} is {}'.format(name, score))"
print a string using multiple strings `name` and `score`,"print('Total score for %s is %s ' % (name, score))"
print string including multiple variables `name` and `score`,"print(('Total score for', name, 'is', score))"
serve a static html page 'your_template.html' at the root of a django project,"url('^$', TemplateView.as_view(template_name='your_template.html'))"
"use a list of values `[3,6]` to select rows from a pandas dataframe `df`'s column 'A'","df[df['A'].isin([3, 6])]"
How to get the concrete class name as a string?,instance.__class__.__name__
execute python code `myscript.py` in a virtualenv `/path/to/my/venv` from matlab,system('/path/to/my/venv/bin/python myscript.py')
django return a QuerySet list containing the values of field 'eng_name' in model `Employees`,"Employees.objects.values_list('eng_name', flat=True)"
"find all digits in string '6,7)' and put them to a list","re.findall('\\d\|\\d,\\d\\)', '6,7)')"
prompt string 'Press Enter to continue...' to the console,input('Press Enter to continue...')
"print string ""ABC"" as hex literal","""""""ABC"""""".encode('hex')"
insert a new field 'geolocCountry' on an existing document 'b' using pymongo,"db.Doc.update({'_id': b['_id']}, {'$set': {'geolocCountry': myGeolocCountry}})"
Write a regex statement to match 'lol' to 'lolllll'.,"re.sub('l+', 'l', 'lollll')"
BeautifulSoup find all 'tr' elements in HTML string `soup` at the five stride starting from the fourth element,rows = soup.findAll('tr')[4::5]
reverse all x-axis points in pyplot,plt.gca().invert_xaxis()
reverse y-axis in pyplot,plt.gca().invert_yaxis()
stack two dataframes next to each other in pandas,"pd.concat([GOOG, AAPL], keys=['GOOG', 'AAPL'], axis=1)"
create a json response `response_data`,"return HttpResponse(json.dumps(response_data), content_type='application/json')"
decode escape sequences in string `myString`,myString.decode('string_escape')
calculate the md5 checksum of a file named 'filename.exe',"hashlib.md5(open('filename.exe', 'rb').read()).hexdigest()"
Find all keys from a dictionary `d` whose values are `desired_value`,"[k for k, v in d.items() if v == desired_value]"
create a set containing all keys' names from dictionary `LoD`,{k for d in LoD for k in list(d.keys())}
create a set containing all keys names from list of dictionaries `LoD`,set([i for s in [list(d.keys()) for d in LoD] for i in s])
extract all keys from a list of dictionaries `LoD`,[i for s in [list(d.keys()) for d in LoD] for i in s]
unpack keys and values of a dictionary `d` into two lists,"keys, values = zip(*list(d.items()))"
convert a string `s` containing a decimal to an integer,int(Decimal(s))
Convert a string to integer with decimal in Python,int(s.split('.')[0])
check if array `b` contains all elements of array `a`,"numpy.in1d(b, a).all()"
numpy: check if array 'a' contains all the numbers in array 'b'.,numpy.array([(x in a) for x in b])
Draw node labels `labels` on networkx graph `G ` at position `pos`,"networkx.draw_networkx_labels(G, pos, labels)"
make a row-by-row copy `y` of array `x`,y = [row[:] for row in x]
Create 2D numpy array from the data provided in 'somefile.csv' with each row in the file having same number of values,"X = numpy.loadtxt('somefile.csv', delimiter=',')"
get a list of items from the list `some_list` that contain string 'abc',matching = [s for s in some_list if 'abc' in s]
export a pandas data frame `df` to a file `mydf.tsv` and retain the indices,"df.to_csv('mydf.tsv', sep='\t')"
How do I create a LIST of unique random numbers?,"random.sample(list(range(100)), 10)"
split a string `s` on last delimiter,"s.rsplit(',', 1)"
Check if all elements in list `lst` are tupples of long and int,"all(isinstance(x, int) for x in lst)"

Create a dictionary `d` from list `iterable`,"d = {key: value for (key, value) in iterable}"

Create a dictionary `d` from list of key value pairs `iterable`,"d = {k: v for (k, v) in iterable}"

"round off entries in dataframe `df` column `Alabama_exp` to two decimal places, and entries in column `Credit_exp` to three decimal places","df.round({'Alabama_exp': 2, 'Credit_exp': 3})"

Make function `WRITEFUNCTION` output nothing in curl `p`,"p.setopt(pycurl.WRITEFUNCTION, lambda x: None)"

return a random word from a word list 'words',print(random.choice(words))

Find a max value of the key `count` in a nested dictionary `d`,"max(d, key=lambda x: d[x]['count'])"

"get list of string elements in string `data` delimited by commas, putting `0` in place of empty strings","[(int(x) if x else 0) for x in data.split(',')]"

"split string `s` into a list of strings based on ',' then replace empty strings with zero",""""""","""""".join(x or '0' for x in s.split(','))"

regular expression match nothing,re.compile('$^')

regular expression syntax for not to match anything,re.compile('.\\A|.\\A*|.\\A+')

create a regular expression object with a pattern that will match nothing,re.compile('a^')

drop all columns in dataframe `df` that holds a maximum value bigger than 0,df.columns[df.max() > 0]

check if date `yourdatetime` is equal to today's date,yourdatetime.date() == datetime.today().date()

print bold text 'Hello',print('\x1b[1m' + 'Hello')

remove 20 symbols in front of '.' in string 'unique12345678901234567890.mkv',"re.sub('.{20}(.mkv)', '\\1', 'unique12345678901234567890.mkv')"

"Define a list with string values `['a', 'c', 'b', 'obj']`","['a', 'c', 'b', 'obj']"

substitute multiple whitespace with single whitespace in string `mystring`,""""""" """""".join(mystring.split())"

print a floating point number 2.345e-67 without any truncation,print('{:.100f}'.format(2.345e-67))

Check if key 'key1' in `dict`,('key1' in dict)

Check if key 'a' in `d`,('a' in d)

Check if key 'c' in `d`,('c' in d)

Check if a given key 'key1' exists in dictionary `dict`,"if ('key1' in dict):

pass"

Check if a given key `key` exists in dictionary `d`,"if (key in d):

pass"

"create a django query for a list of values `1, 4, 7`","Blog.objects.filter(pk__in=[1, 4, 7])"

read a binary file 'test/test.pdf',"f = open('test/test.pdf', 'rb')"

"insert ' ' between every three digit before '.' and replace ',' with '.' in 12345678.46","format(12345678.46, ',').replace(',', ' ').replace('.', ',')"

Join pandas data frame `frame_1` and `frame_2` with left join by `county_ID` and right join by `countyid`,"pd.merge(frame_1, frame_2, left_on='county_ID', right_on='countyid')"

calculate ratio of sparsity in a numpy array `a`,np.isnan(a).sum() / np.prod(a.shape)

reverse sort items in default dictionary `cityPopulation` by the third item in each key's list of values,"sorted(iter(cityPopulation.items()), key=lambda k_v: k_v[1][2], reverse=True)"

Sort dictionary `u` in ascending order based on second elements of its values,"sorted(list(u.items()), key=lambda v: v[1])"

reverse sort dictionary `d` based on its values,"sorted(list(d.items()), key=lambda k_v: k_v[1], reverse=True)"

sorting a defaultdict `d` by value,"sorted(list(d.items()), key=lambda k_v: k_v[1])"

open a file 'bundled-resource.jpg' in the same directory as a python script,"f = open(os.path.join(__location__, 'bundled-resource.jpg'))"

open the file 'words.txt' in 'rU' mode,"f = open('words.txt', 'rU')"

divide the values with same keys of two dictionary `d1` and `d2`,{k: (float(d2[k]) / d1[k]) for k in d2}

divide the value for each key `k` in dict `d2` by the value for the same key `k` in dict `d1`,{k: (d2[k] / d1[k]) for k in list(d1.keys()) & d2}

divide values associated with each key in dictionary `d1` from values associated with the same key in dictionary `d2`,"dict((k, float(d2[k]) / d1[k]) for k in d2)"

write dataframe `df` to csv file `filename` with dates formatted as yearmonthday `%Y%m%d`,"df.to_csv(filename, date_format='%Y%m%d')"

remove a key 'key' from a dictionary `my_dict`,"my_dict.pop('key', None)"

replace NaN values in array `a` with zeros,"b = np.where(np.isnan(a), 0, a)"

subprocess run command 'start command -flags arguments' through the shell,"subprocess.call('start command -flags arguments', shell=True)"

run command 'command -flags arguments &' on command line tools as separate processes,"subprocess.call('command -flags arguments &', shell=True)"

replace percent-encoded code in request `f` to their single-character equivalent,"f = urllib.request.urlopen(url, urllib.parse.unquote(urllib.parse.urlencode(params)))"

"remove white spaces from the end of string "" xyz """,""""""" xyz """""".rstrip()"

Replace special characters in utf-8 encoded string `s` using the %xx escape,urllib.parse.quote(s.encode('utf-8'))

URL encoding in python,urllib.parse.quote_plus('a b')

Create an array containing the conversion of string '100110' into separate elements,"np.array(map(int, '100110'))"

convert a string 'mystr' to numpy array of integer values,"print(np.array(list(mystr), dtype=int))"

convert an rgb image 'messi5.jpg' into grayscale `img`,"img = cv2.imread('messi5.jpg', 0)"

sort list `lst` in descending order based on the second item of each tuple in it,"lst.sort(key=lambda x: x[2], reverse=True)"

How to find all occurrences of an element in a list?,"indices = [i for i, x in enumerate(my_list) if x == 'whatever']"

count the number of trailing question marks in string `my_text`,len(my_text) - len(my_text.rstrip('?'))

remove dollar sign '$' from second to last column data in dataframe 'df' and convert the data into floats,"df[df.columns[1:]].replace('[\\$,]', '', regex=True).astype(float)"

Merge column 'word' in dataframe `df2` with column 'word' on dataframe `df1`,"df1.merge(df2, how='left', on='word')"

switch positions of each two adjacent characters in string `a`,"print(''.join(''.join(i) for i in zip(a2, a1)) + a[-1] if len(a) % 2 else '')"

make a window `root` jump to the front,"root.attributes('-topmost', True)"

make a window `root` jump to the front,root.lift()

Convert list of booleans `walls` into a hex string,"hex(int(''.join([str(int(b)) for b in walls]), 2))"

convert the sum of list `walls` into a hex presentation,"hex(sum(b << i for i, b in enumerate(reversed(walls))))"

"print the string `Total score for`, the value of the variable `name`, the string `is` and the value of the variable `score` in one print call.","print(('Total score for', name, 'is', score))"

print multiple arguments 'name' and 'score'.,"print('Total score for {} is {}'.format(name, score))"

print a string using multiple strings `name` and `score`,"print('Total score for %s is %s ' % (name, score))"

print string including multiple variables `name` and `score`,"print(('Total score for', name, 'is', score))"

serve a static html page 'your_template.html' at the root of a django project,"url('^$', TemplateView.as_view(template_name='your_template.html'))"

"use a list of values `[3,6]` to select rows from a pandas dataframe `df`'s column 'A'","df[df['A'].isin([3, 6])]"

How to get the concrete class name as a string?,instance.__class__.__name__

execute python code `myscript.py` in a virtualenv `/path/to/my/venv` from matlab,system('/path/to/my/venv/bin/python myscript.py')

django return a QuerySet list containing the values of field 'eng_name' in model `Employees`,"Employees.objects.values_list('eng_name', flat=True)"

"find all digits in string '6,7)' and put them to a list","re.findall('\\d|\\d,\\d\\)', '6,7)')"

prompt string 'Press Enter to continue...' to the console,input('Press Enter to continue...')

"print string ""ABC"" as hex literal","""""""ABC"""""".encode('hex')"

insert a new field 'geolocCountry' on an existing document 'b' using pymongo,"db.Doc.update({'_id': b['_id']}, {'$set': {'geolocCountry': myGeolocCountry}})"

Write a regex statement to match 'lol' to 'lolllll'.,"re.sub('l+', 'l', 'lollll')"

BeautifulSoup find all 'tr' elements in HTML string `soup` at the five stride starting from the fourth element,rows = soup.findAll('tr')[4::5]

reverse all x-axis points in pyplot,plt.gca().invert_xaxis()

reverse y-axis in pyplot,plt.gca().invert_yaxis()

stack two dataframes next to each other in pandas,"pd.concat([GOOG, AAPL], keys=['GOOG', 'AAPL'], axis=1)"

create a json response `response_data`,"return HttpResponse(json.dumps(response_data), content_type='application/json')"

decode escape sequences in string `myString`,myString.decode('string_escape')

calculate the md5 checksum of a file named 'filename.exe',"hashlib.md5(open('filename.exe', 'rb').read()).hexdigest()"

Find all keys from a dictionary `d` whose values are `desired_value`,"[k for k, v in d.items() if v == desired_value]"

create a set containing all keys' names from dictionary `LoD`,{k for d in LoD for k in list(d.keys())}

create a set containing all keys names from list of dictionaries `LoD`,set([i for s in [list(d.keys()) for d in LoD] for i in s])

extract all keys from a list of dictionaries `LoD`,[i for s in [list(d.keys()) for d in LoD] for i in s]

unpack keys and values of a dictionary `d` into two lists,"keys, values = zip(*list(d.items()))"

convert a string `s` containing a decimal to an integer,int(Decimal(s))

Convert a string to integer with decimal in Python,int(s.split('.')[0])

check if array `b` contains all elements of array `a`,"numpy.in1d(b, a).all()"

numpy: check if array 'a' contains all the numbers in array 'b'.,numpy.array([(x in a) for x in b])

Draw node labels `labels` on networkx graph `G ` at position `pos`,"networkx.draw_networkx_labels(G, pos, labels)"

make a row-by-row copy `y` of array `x`,y = [row[:] for row in x]

Create 2D numpy array from the data provided in 'somefile.csv' with each row in the file having same number of values,"X = numpy.loadtxt('somefile.csv', delimiter=',')"

get a list of items from the list `some_list` that contain string 'abc',matching = [s for s in some_list if 'abc' in s]

export a pandas data frame `df` to a file `mydf.tsv` and retain the indices,"df.to_csv('mydf.tsv', sep='\t')"

How do I create a LIST of unique random numbers?,"random.sample(list(range(100)), 10)"

split a string `s` on last delimiter,"s.rsplit(',', 1)"

Check if all elements in list `lst` are tupples of long and int,"all(isinstance(x, int) for x in lst)"