uid stringlengths 24 24 | split stringclasses 1
value | category stringclasses 2
values | content stringlengths 5 482k | signature stringlengths 1 14k | suffix stringlengths 1 482k | prefix stringlengths 9 14k | prefix_token_count int64 3 5.01k | prefix_token_budget int64 64 256 | element_token_count int64 1 292k | signature_token_count int64 1 5.01k | prefix_context_token_count int64 0 255 | repo stringlengths 7 112 | path stringlengths 4 208 | language stringclasses 1
value | name stringlengths 1 218 | qualname stringlengths 1 218 | start_line int64 1 26.7k | end_line int64 1 26.7k | signature_start_line int64 1 26.7k | signature_end_line int64 1 26.7k | source_hash stringlengths 40 40 | source_dataset stringclasses 1
value | source_split stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0eeb1b11a2fda5166077699d | train | function | def inverse_fourier_transform(filtered_image):
image_inv_f_shift = np.fft.ifftshift(filtered_image) # flip the corners back
image_inv_f_trans = np.fft.ifft2(image_inv_f_shift)
return image_inv_f_trans
| def inverse_fourier_transform(filtered_image):
| image_inv_f_shift = np.fft.ifftshift(filtered_image) # flip the corners back
image_inv_f_trans = np.fft.ifft2(image_inv_f_shift)
return image_inv_f_trans
| , n):
b_filter = butter_worth_filter(f_shifted_image.shape[0], f_shifted_image.shape[1], r, n)
filtered_image = np.multiply(f_shifted_image, b_filter)
return filtered_image
# inverse transform the image
def inverse_fourier_transform(filtered_image):
| 64 | 64 | 54 | 8 | 55 | BengisuA14/METU-ImageProcessing | THE2/the2_part2.py | Python | inverse_fourier_transform | inverse_fourier_transform | 39 | 43 | 39 | 39 | d8fa9e8cd3d1d906f77716b238b1f6cc41f2d9f4 | bigcode/the-stack | train |
e3ef037ac80ce1e3200da5ec | train | class | class TestTerraformEvaluation(TestCase):
def test_directive(self):
input_str = '"Hello, %{ if "d" != "" }named%{ else }unnamed%{ endif }!"'
expected = 'Hello, named!'
self.assertEqual(expected, evaluate_terraform(input_str))
def test_condition(self):
input_str = '"2 > 0 ? bigger... | class TestTerraformEvaluation(TestCase):
| def test_directive(self):
input_str = '"Hello, %{ if "d" != "" }named%{ else }unnamed%{ endif }!"'
expected = 'Hello, named!'
self.assertEqual(expected, evaluate_terraform(input_str))
def test_condition(self):
input_str = '"2 > 0 ? bigger : smaller"'
expected = 'bigger'
... | import os
from unittest import TestCase
from checkov.terraform.variable_rendering.evaluate_terraform import evaluate_terraform, replace_string_value, \
remove_interpolation
from checkov.terraform.variable_rendering.safe_eval_functions import PythonCodeError
class TestTerraformEvaluation(TestCase):
| 58 | 256 | 3,837 | 7 | 50 | new23d/checkov | tests/graph/terraform/variable_rendering/test_string_evaluation.py | Python | TestTerraformEvaluation | TestTerraformEvaluation | 9 | 359 | 9 | 9 | aa22aa2afe960320757ca1268970454a19a56b08 | bigcode/the-stack | train |
5c17ff78bef540dd7a5e4c7a | train | function | def round_sum(a, b, c):
return round10(a) + round10(b) + round10(c)
| def round_sum(a, b, c):
| return round10(a) + round10(b) + round10(c)
| the helper entirely below and at the same indent level as round_sum().
'''
def round10(num):
if num % 10 >= 5:
return 10 - num % 10 + num
else:
return num - num % 10
def round_sum(a, b, c):
| 64 | 64 | 25 | 9 | 54 | SleepNoMore/CodingBat | Logic-2/round_sum.py | Python | round_sum | round_sum | 20 | 21 | 20 | 20 | 8f264e99fd4a6dae26681f41c9bfa0d2d39a8c94 | bigcode/the-stack | train |
c0e11f2e12557f0e8b6832ad | train | function | def round10(num):
if num % 10 >= 5:
return 10 - num % 10 + num
else:
return num - num % 10
| def round10(num):
| if num % 10 >= 5:
return 10 - num % 10 + num
else:
return num - num % 10
| 10. Given 3 ints, a b c,
return the sum of their rounded values.
To avoid code repetition, write a separate helper "def round10(num):"
and call it 3 times.
Write the helper entirely below and at the same indent level as round_sum().
'''
def round10(num):
| 63 | 64 | 39 | 5 | 58 | SleepNoMore/CodingBat | Logic-2/round_sum.py | Python | round10 | round10 | 13 | 17 | 13 | 13 | f8a7b82e5c95e2428e06f18cdc450bc9adfa8ffb | bigcode/the-stack | train |
2a63d67616104c07dc09d40d | train | class | class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Permission',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
... | class Migration(migrations.Migration):
| initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Permission',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('url', models.CharField(max_length=64... | # -*- coding: utf-8 -*-
# Generated by Django 1.11.20 on 2019-06-02 08:41
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
| 54 | 64 | 179 | 7 | 46 | gengna92/PythonProjects | host_manager_19/rbac/migrations/0001_initial.py | Python | Migration | Migration | 8 | 32 | 8 | 9 | 7c47c1b0ff5ac84c6efd7d0e6e22e9fd7388f945 | bigcode/the-stack | train |
47c2fcb1e3c98c05482d4de3 | train | class | class TestClassOelintTaskHeredocs(TestBaseClass):
@pytest.mark.parametrize('id', ['oelint.task.heredocs'])
@pytest.mark.parametrize('occurance', [1])
@pytest.mark.parametrize('input',
[
{
'oelint_adv_test.bb':
'''
do_foo() {
cat > ... | class TestClassOelintTaskHeredocs(TestBaseClass):
@pytest.mark.parametrize('id', ['oelint.task.heredocs'])
@pytest.mark.parametrize('occurance', [1])
@pytest.mark.parametrize('input',
[
{
'oelint_adv_test.bb':
'''
do_foo() {
cat > ... | def test_bad(self, input, id, occurance):
self.check_for_id(self._create_args(input), id, occurance)
@pytest.mark.parametrize('id', ['oelint.task.heredocs'])
@pytest.mark.parametrize('occurance', [0])
@pytest.mark.parametrize('input',
[
{
'oelint_adv_test.bb':
... | class TestClassOelintTaskHeredocs(TestBaseClass):
@pytest.mark.parametrize('id', ['oelint.task.heredocs'])
@pytest.mark.parametrize('occurance', [1])
@pytest.mark.parametrize('input',
[
{
'oelint_adv_test.bb':
'''
do_foo() {
cat > ... | 161 | 87 | 290 | 161 | 0 | Rahix/oelint-adv | tests/test_class_oelint_task_heredocs.py | Python | TestClassOelintTaskHeredocs | TestClassOelintTaskHeredocs | 10 | 56 | 10 | 37 | f39c9ddc34d7473d527ed714d3d6d1790d9407cd | bigcode/the-stack | train |
e8db6cbe91ce976f27597fd5 | train | function | def get_day():
'''Asks the user for as an integer day and returns the specified day.
Args:
none.
Returns:
(int): Returns the day of the weeek that the user chooses.
'''
day = input('\nWhich day? Please type your response as an integer. For example Mon=0, Tues=1, etc.\n')
if int... | def get_day():
| '''Asks the user for as an integer day and returns the specified day.
Args:
none.
Returns:
(int): Returns the day of the weeek that the user chooses.
'''
day = input('\nWhich day? Please type your response as an integer. For example Mon=0, Tues=1, etc.\n')
if int(day) not in [0... | , April, May, or June?\n')
month= month.lower()
if month not in ['january', 'february', 'march', 'april','may', 'june']:
print('This input is not valid.')
return get_month()
return month
def get_day():
| 64 | 64 | 125 | 4 | 59 | cmaravil/Bikeshare-data- | bikeshare.py | Python | get_day | get_day | 90 | 104 | 90 | 90 | 77d824ef25f66ffdab523c0fd158486e05b1c637 | bigcode/the-stack | train |
3ef46365dae8a76394805c5e | train | function | def popular_trip(city_file, time_period):
'''Question: What is the most popular trip?
Args:
city_file, time_period
Returns:
(str,str) Returns most popular trip.
'''
df = load_df(city_file)
return df.groupby(['Start Station','End Station'])['Start Station'].count().sort_values(asc... | def popular_trip(city_file, time_period):
| '''Question: What is the most popular trip?
Args:
city_file, time_period
Returns:
(str,str) Returns most popular trip.
'''
df = load_df(city_file)
return df.groupby(['Start Station','End Station'])['Start Station'].count().sort_values(ascending=False).index[0]
| )
st= df.groupby('Start Station')['Start Station'].count().sort_values(ascending=False).index[0]
ed= df.groupby('End Station')['End Station'].count().sort_values(ascending=False).index[0]
return st,ed
def popular_trip(city_file, time_period):
| 64 | 64 | 80 | 9 | 54 | cmaravil/Bikeshare-data- | bikeshare.py | Python | popular_trip | popular_trip | 206 | 214 | 206 | 206 | f578b27de352bc74730f00f2268737458ada1e0c | bigcode/the-stack | train |
56b93c44966de3420f7692a7 | train | function | def users(city_file, time_period):
'''Question: What are the counts of each user type?
Args:
city_file, time_period
Returns:
(str,int) Returns counts for each user type.
'''
df = load_df(city_file)
user_results = pd.value_counts(df['User Type'])
return user_results
| def users(city_file, time_period):
| '''Question: What are the counts of each user type?
Args:
city_file, time_period
Returns:
(str,int) Returns counts for each user type.
'''
df = load_df(city_file)
user_results = pd.value_counts(df['User Type'])
return user_results
| _file, time_period
Returns:
(str,str) Returns most popular trip.
'''
df = load_df(city_file)
return df.groupby(['Start Station','End Station'])['Start Station'].count().sort_values(ascending=False).index[0]
def users(city_file, time_period):
| 63 | 64 | 73 | 8 | 55 | cmaravil/Bikeshare-data- | bikeshare.py | Python | users | users | 218 | 227 | 218 | 218 | 43bed913b0cdf84be4f1494f323a0942435a445d | bigcode/the-stack | train |
7edcff75c4d6c1f25e78249d | train | function | def popular_hour(city_file, time_period):
'''
Question: What is the most popular hour of day for start time?
Args:
city_file, time_period
Returns:
(int) Most popular hour of the day for starting time.
'''
#setting a new column for the results using df[]
popular_hour= ('\nThe ... | def popular_hour(city_file, time_period):
| '''
Question: What is the most popular hour of day for start time?
Args:
city_file, time_period
Returns:
(int) Most popular hour of the day for starting time.
'''
#setting a new column for the results using df[]
popular_hour= ('\nThe most popular hour of the day for start tim... | 'Wednesday','Thursday','Friday','Saturday']
df['weekday'] = df['Start Time'].dt.weekday_name.mode().index[0]
return int(df['weekday'].mode()[0])
#print('Most Popular Day:', popular_day) in statistics
def popular_hour(city_file, time_period):
| 64 | 64 | 120 | 9 | 54 | cmaravil/Bikeshare-data- | bikeshare.py | Python | popular_hour | popular_hour | 155 | 167 | 155 | 155 | 111c8127dbd89ddebf8eb8eb53700e3e653b5d5f | bigcode/the-stack | train |
b90d7968d0982d9737660d14 | train | function | def popular_day(city_file, time_period):
'''
Question: What is the most popular day of week (Monday, Tuesday, etc.) for start time?
Args:
city_file, time_period
Returns:
(int) Most popular startime for a city's bikeshare data.
'''
popular_day=('\n The most popular day of the we... | def popular_day(city_file, time_period):
| '''
Question: What is the most popular day of week (Monday, Tuesday, etc.) for start time?
Args:
city_file, time_period
Returns:
(int) Most popular startime for a city's bikeshare data.
'''
popular_day=('\n The most popular day of the week for start time is :\n')
df = load_... | ) Mode of popular month for a city's bikeshare data.
'''
df = load_df(city_file)
df['month'] = df['Start Time'].dt.month
popular_month_num = int(df['month'].mode())
return popular_month_num
def popular_day(city_file, time_period):
| 64 | 64 | 158 | 9 | 54 | cmaravil/Bikeshare-data- | bikeshare.py | Python | popular_day | popular_day | 135 | 150 | 135 | 135 | 5908769eb0f91ff4bbab5a55277d9ac0f67464af | bigcode/the-stack | train |
617eee7eb5ca9be12542180f | train | function | def trip_duration(city_file, time_period):
'''
Question: What is the total trip duration and average trip duration?
Args:
city_file, time_period
Returns:
(int,int) Returns the total sum of the drip durations and the average.
'''
trip_duration=('\nThe total and average durations o... | def trip_duration(city_file, time_period):
| '''
Question: What is the total trip duration and average trip duration?
Args:
city_file, time_period
Returns:
(int,int) Returns the total sum of the drip durations and the average.
'''
trip_duration=('\nThe total and average durations of trips are:\n')
df=load_df(city_file)
... | []
popular_hour= ('\nThe most popular hour of the day for start time is :\n')
df = load_df(city_file)
df['hour'] = df['Start Time'].dt.hour
return int(df['hour'].mode())
def trip_duration(city_file, time_period):
| 63 | 64 | 110 | 9 | 54 | cmaravil/Bikeshare-data- | bikeshare.py | Python | trip_duration | trip_duration | 173 | 186 | 173 | 173 | 428a551d984cbf199aa2e73094df9892d4442cdf | bigcode/the-stack | train |
120f3d164708e81439b2fb12 | train | function | def popular_month(city_file, time_period):
''' Question: What is the most popular month?
Args:
city_file and time_period
Returns:
(int) Mode of popular month for a city's bikeshare data.
'''
df = load_df(city_file)
df['month'] = df['Start Time'].dt.month
popular_month_num = i... | def popular_month(city_file, time_period):
| ''' Question: What is the most popular month?
Args:
city_file and time_period
Returns:
(int) Mode of popular month for a city's bikeshare data.
'''
df = load_df(city_file)
df['month'] = df['Start Time'].dt.month
popular_month_num = int(df['month'].mode())
return popular_m... | Returns:
Loads city CSV using pandas.
'''
df = pd.read_csv(city)
df['Start Time'] = pd.to_datetime(df['Start Time'])
# df['End Time'] = pd.to_datetime(df['End Time'])
return df
def popular_month(city_file, time_period):
| 64 | 64 | 91 | 9 | 54 | cmaravil/Bikeshare-data- | bikeshare.py | Python | popular_month | popular_month | 122 | 132 | 122 | 122 | 31cc8da8eff277877aeee5badc4fb56e6866f143 | bigcode/the-stack | train |
905311e85b1031f5e30cf610 | train | function | def load_df(city):
'''Loads data frame.
Args:
City
Returns:
Loads city CSV using pandas.
'''
df = pd.read_csv(city)
df['Start Time'] = pd.to_datetime(df['Start Time'])
# df['End Time'] = pd.to_datetime(df['End Time'])
return df
| def load_df(city):
| '''Loads data frame.
Args:
City
Returns:
Loads city CSV using pandas.
'''
df = pd.read_csv(city)
df['Start Time'] = pd.to_datetime(df['Start Time'])
# df['End Time'] = pd.to_datetime(df['End Time'])
return df
| example Mon=0, Tues=1, etc.\n')
if int(day) not in [0,1,2,3,4,5,6]:
print('This input is not valid.')
return get_day()
day = int(day)
return day
def load_df(city):
| 64 | 64 | 72 | 5 | 58 | cmaravil/Bikeshare-data- | bikeshare.py | Python | load_df | load_df | 107 | 118 | 107 | 107 | e4145e3b30513f1bfa9bc9d55c46853905ba3319 | bigcode/the-stack | train |
b9e322474d8962780a198334 | train | function | def get_time_period():
'''Asks the user for a time period and returns the specified filter.
Args:
none.
Returns:
(str) Time period for a city's bikeshare data.
'''
time_period = input('\nWould you like to filter the data by month, day, or not at'
' all? Type ... | def get_time_period():
| '''Asks the user for a time period and returns the specified filter.
Args:
none.
Returns:
(str) Time period for a city's bikeshare data.
'''
time_period = input('\nWould you like to filter the data by month, day, or not at'
' all? Type "none" for no time filt... | new_york_city
elif city== 'washington':
print('Ok, Let\'s explore the data for Washington')
return washington
else:
print ('Sorry that is not a valid input, please make sure you are using lowercase letters.')
return get_city()
def get_time_period():
| 64 | 64 | 189 | 5 | 59 | cmaravil/Bikeshare-data- | bikeshare.py | Python | get_time_period | get_time_period | 44 | 69 | 44 | 44 | aa419785db2c0c8b0242e761e30c38bb1e9d2132 | bigcode/the-stack | train |
f6add0913c58488a6a05ac4e | train | function | def gender(city_file, time_period):
'''Question: What are the counts of gender?
Args:
city_file, time_period
Returns:
(str,int) Returns counts for gender types.
'''
df = load_df(city_file)
if 'Gender' in df:
gender_results = pd.value_counts(df['Gender'])
return ge... | def gender(city_file, time_period):
| '''Question: What are the counts of gender?
Args:
city_file, time_period
Returns:
(str,int) Returns counts for gender types.
'''
df = load_df(city_file)
if 'Gender' in df:
gender_results = pd.value_counts(df['Gender'])
return gender_results
else:
retur... | each user type?
Args:
city_file, time_period
Returns:
(str,int) Returns counts for each user type.
'''
df = load_df(city_file)
user_results = pd.value_counts(df['User Type'])
return user_results
def gender(city_file, time_period):
| 64 | 64 | 93 | 8 | 55 | cmaravil/Bikeshare-data- | bikeshare.py | Python | gender | gender | 229 | 241 | 229 | 229 | 9683a39547af5653208e60bb57e97946f96cd2c2 | bigcode/the-stack | train |
f7828c07e3c3eea484dba56a | train | function | def get_month():
'''Asks the user for a month and returns the specified month.
Args:
none.
Returns:
(str): Returns the month the user chooses.
'''
month = input('\nWhich month? January, February, March, April, May, or June?\n')
month= month.lower()
if month not in ['january... | def get_month():
| '''Asks the user for a month and returns the specified month.
Args:
none.
Returns:
(str): Returns the month the user chooses.
'''
month = input('\nWhich month? January, February, March, April, May, or June?\n')
month= month.lower()
if month not in ['january', 'february', 'm... | data by day.')
return get_day()
elif time_period == 'none':
print('Great, we will not filter the time period.')
return time_period
else:
print('Sorry, that is not a valid input, please try again.')
return get_time_period()
def get_month():
| 64 | 64 | 115 | 4 | 60 | cmaravil/Bikeshare-data- | bikeshare.py | Python | get_month | get_month | 72 | 86 | 72 | 72 | 4dab52fc176728d1ebafe6e4ea589cd68a8abba3 | bigcode/the-stack | train |
700ba763ab2631a10c9be25a | train | function | def statistics():
'''Calculates and prints out the descriptive statistics about a city and time period
specified by the user via raw input.
Args:
none.
Returns:
none.
'''
# Filter by city (Chicago, New York, Washington)
city = get_city()
# Filter by time period (month, ... | def statistics():
| '''Calculates and prints out the descriptive statistics about a city and time period
specified by the user via raw input.
Args:
none.
Returns:
none.
'''
# Filter by city (Chicago, New York, Washington)
city = get_city()
# Filter by time period (month, day, none)
tim... | '''
df = load_df(city_file)
if 'Birth Year' in df:
return (int(df['Birth Year'].max()),int(df['Birth Year'].min()),int(df['Birth Year'].mode()[0]))
else:
return "Sorry, this data is not available for Washington."
def display_data(city_files, current_idx=0):
'''Displays five ... | 235 | 236 | 787 | 3 | 233 | cmaravil/Bikeshare-data- | bikeshare.py | Python | statistics | statistics | 279 | 371 | 279 | 279 | 0ad088a19a7072b77b572cdb16b4bb8d63107eb7 | bigcode/the-stack | train |
8e7222eebb3a07ba0a40549a | train | function | def display_data(city_files, current_idx=0):
'''Displays five lines of data if the user specifies that they would like to.
After displaying five lines, ask the user if they would like to see five more,
continuing asking until they say stop.
Args:
city_file, index
Returns:
5 rows at ... | def display_data(city_files, current_idx=0):
| '''Displays five lines of data if the user specifies that they would like to.
After displaying five lines, ask the user if they would like to see five more,
continuing asking until they say stop.
Args:
city_file, index
Returns:
5 rows at a time from csv converted to data frame.
... | 'Birth Year' in df:
return (int(df['Birth Year'].max()),int(df['Birth Year'].min()),int(df['Birth Year'].mode()[0]))
else:
return "Sorry, this data is not available for Washington."
def display_data(city_files, current_idx=0):
| 63 | 64 | 167 | 11 | 52 | cmaravil/Bikeshare-data- | bikeshare.py | Python | display_data | display_data | 258 | 276 | 258 | 258 | b07d74849b651446945ac4d9c4ef25daf0dc2828 | bigcode/the-stack | train |
9a22fc01066497e9ae5690ac | train | function | def birth_years(city_file, time_period):
'''Question: What are the earliest (i.e. oldest user), most recent (i.e. youngest user),
and most popular birth years?
Args:
city_file, time_period
Returns:
(int) Returns youngest, oldest and most popular birth years.
'''
df = load_df(city... | def birth_years(city_file, time_period):
| '''Question: What are the earliest (i.e. oldest user), most recent (i.e. youngest user),
and most popular birth years?
Args:
city_file, time_period
Returns:
(int) Returns youngest, oldest and most popular birth years.
'''
df = load_df(city_file)
if 'Birth Year' in df:
... | for gender types.
'''
df = load_df(city_file)
if 'Gender' in df:
gender_results = pd.value_counts(df['Gender'])
return gender_results
else:
return "Sorry, this data is not available for Washington."
def birth_years(city_file, time_period):
| 64 | 64 | 132 | 10 | 54 | cmaravil/Bikeshare-data- | bikeshare.py | Python | birth_years | birth_years | 244 | 256 | 244 | 244 | 2a702b2772a0474cee68edd7cbd07dba4fd550c0 | bigcode/the-stack | train |
c24078c03b9ddf0800304015 | train | function | def popular_stations(city_file, time_period):
'''
Question: What is the most popular start station and most popular end station?
Args:
city_file, time_period
Returns:
(str,str) Returns most common start and end station.
'''
#popular_stations(city,time_period)
#query to data f... | def popular_stations(city_file, time_period):
| '''
Question: What is the most popular start station and most popular end station?
Args:
city_file, time_period
Returns:
(str,str) Returns most common start and end station.
'''
#popular_stations(city,time_period)
#query to data frame
df = load_df(city_file)
st= df.gr... | '''
trip_duration=('\nThe total and average durations of trips are:\n')
df=load_df(city_file)
tot_duration=df['Trip Duration'].sum()
avg_duration=df['Trip Duration'].mean()
return tot_duration,avg_duration
def popular_stations(city_file, time_period):
| 64 | 64 | 134 | 10 | 53 | cmaravil/Bikeshare-data- | bikeshare.py | Python | popular_stations | popular_stations | 190 | 203 | 190 | 190 | a324e12c1af9888c922974ec8bd74141cc6ad2ad | bigcode/the-stack | train |
dc4c5c4b351f46d322d11271 | train | function | def get_city():
'''Asks the user for a city and returns the filename for that city's bike share data.
Args:
none.
Returns:
(str) Filename for a city's bikeshare data.
'''
city = input('\nHello! Let\'s explore some US bikeshare data!\n'
'Would you like to see data fo... | def get_city():
| '''Asks the user for a city and returns the filename for that city's bike share data.
Args:
none.
Returns:
(str) Filename for a city's bikeshare data.
'''
city = input('\nHello! Let\'s explore some US bikeshare data!\n'
'Would you like to see data for Chicago, New Y... |
import csv
import pprint
import datetime
import time
import pandas as pd
## Filenames
chicago = 'chicago.csv'
new_york_city = 'new_york_city.csv'
washington = 'washington.csv'
def get_city():
| 54 | 64 | 204 | 4 | 50 | cmaravil/Bikeshare-data- | bikeshare.py | Python | get_city | get_city | 16 | 41 | 16 | 16 | 1a39dc64c6ef9d7835ef569a00d308cea381bf63 | bigcode/the-stack | train |
8a053761fa5fd41cc756ae96 | train | class | class CertonlyTest(unittest.TestCase):
"""Tests for certbot._internal.main.certonly."""
def setUp(self):
self.get_utility_patch = test_util.patch_display_util()
self.mock_get_utility = self.get_utility_patch.start()
def tearDown(self):
self.get_utility_patch.stop()
def _call(s... | class CertonlyTest(unittest.TestCase):
| """Tests for certbot._internal.main.certonly."""
def setUp(self):
self.get_utility_patch = test_util.patch_display_util()
self.mock_get_utility = self.get_utility_patch.start()
def tearDown(self):
self.get_utility_patch.stop()
def _call(self, args):
plugins = disco.Plu... | ()
self.mock_success_renewal.assert_called_once_with([self.domain])
@mock.patch('certbot._internal.main.plug_sel.choose_configurator_plugins')
def test_run_enhancement_not_supported(self, mock_choose):
mock_choose.return_value = (null.Installer(self.config, "null"), None)
plugins = disc... | 256 | 256 | 1,272 | 8 | 248 | luisriverag/certbot | certbot/tests/main_test.py | Python | CertonlyTest | CertonlyTest | 180 | 285 | 180 | 180 | 6cd640b809da66de9c37429d8ecf7a818f2d2963 | bigcode/the-stack | train |
7a70405e7e77b3cb4b06b4cf | train | class | class EnhanceTest(test_util.ConfigTestCase):
"""Tests for certbot._internal.main.enhance."""
def setUp(self):
super().setUp()
self.get_utility_patch = test_util.patch_display_util()
self.mock_get_utility = self.get_utility_patch.start()
self.mockinstaller = mock.MagicMock(spec=e... | class EnhanceTest(test_util.ConfigTestCase):
| """Tests for certbot._internal.main.enhance."""
def setUp(self):
super().setUp()
self.get_utility_patch = test_util.patch_display_util()
self.mock_get_utility = self.get_utility_patch.start()
self.mockinstaller = mock.MagicMock(spec=enhancements.AutoHSTSEnhancement)
def tea... | Client.return_value = cb_client
config = mock.MagicMock()
unused_plugins = mock.MagicMock()
res = main.unregister(config, unused_plugins)
m = "Could not find existing account to deactivate."
self.assertEqual(res, m)
self.assertIs(cb_client.acme.deactivate_registration.c... | 256 | 256 | 1,734 | 9 | 247 | luisriverag/certbot | certbot/tests/main_test.py | Python | EnhanceTest | EnhanceTest | 1,626 | 1,767 | 1,626 | 1,626 | 3e0badc212b285fa9edb89050cda5a33d4f0a442 | bigcode/the-stack | train |
ef64718bbf6a1785dd8b82c5 | train | class | class RevokeTest(test_util.TempDirTestCase):
"""Tests for certbot._internal.main.revoke."""
def setUp(self):
super().setUp()
shutil.copy(CERT_PATH, self.tempdir)
self.tmp_cert_path = os.path.abspath(os.path.join(self.tempdir, 'cert_512.pem'))
patches = [
mock.patch... | class RevokeTest(test_util.TempDirTestCase):
| """Tests for certbot._internal.main.revoke."""
def setUp(self):
super().setUp()
shutil.copy(CERT_PATH, self.tempdir)
self.tmp_cert_path = os.path.abspath(os.path.join(self.tempdir, 'cert_512.pem'))
patches = [
mock.patch('acme.client.BackwardsCompatibleClientV2'),
... | .choose_names')
def test_display_ops(self, mock_choose_names):
mock_config = mock.Mock(domains=None, certname=None)
mock_choose_names.return_value = "domainname"
# pylint: disable=protected-access
self.assertEqual(main._find_domains_or_certname(mock_config, None), ("domainname", None... | 256 | 256 | 1,383 | 11 | 245 | luisriverag/certbot | certbot/tests/main_test.py | Python | RevokeTest | RevokeTest | 316 | 439 | 316 | 316 | 2b04006a29fa620bb12b6c2996c094d588c8cf0a | bigcode/the-stack | train |
a033946966c376051bf8917f | train | class | class InstallTest(test_util.ConfigTestCase):
"""Tests for certbot._internal.main.install."""
def setUp(self):
super().setUp()
self.mockinstaller = mock.MagicMock(spec=enhancements.AutoHSTSEnhancement)
@mock.patch('certbot._internal.main.plug_sel.record_chosen_plugins')
@mock.patch('cer... | class InstallTest(test_util.ConfigTestCase):
| """Tests for certbot._internal.main.install."""
def setUp(self):
super().setUp()
self.mockinstaller = mock.MagicMock(spec=enhancements.AutoHSTSEnhancement)
@mock.patch('certbot._internal.main.plug_sel.record_chosen_plugins')
@mock.patch('certbot._internal.main.plug_sel.pick_installer')... | _lineage.return_value = mock.MagicMock(chain_path="/tmp/nonexistent")
self.assertRaises(
errors.NotSupportedError,
self._call, ['enhance', '--auto-hsts'])
def test_enhancement_enable_conflict(self):
self.assertRaises(
errors.Error,
self._call, ['enhan... | 88 | 89 | 298 | 9 | 79 | luisriverag/certbot | certbot/tests/main_test.py | Python | InstallTest | InstallTest | 1,770 | 1,799 | 1,770 | 1,770 | af95eb58906f9ff662f58aa1deddd5631727ff52 | bigcode/the-stack | train |
ce1093cfa1579aa51c4526b3 | train | class | class RunTest(test_util.ConfigTestCase):
"""Tests for certbot._internal.main.run."""
def setUp(self):
super().setUp()
self.domain = 'example.org'
patches = [
mock.patch('certbot._internal.main._get_and_save_cert'),
mock.patch('certbot._internal.main.display_ops.s... | class RunTest(test_util.ConfigTestCase):
| """Tests for certbot._internal.main.run."""
def setUp(self):
super().setUp()
self.domain = 'example.org'
patches = [
mock.patch('certbot._internal.main._get_and_save_cert'),
mock.patch('certbot._internal.main.display_ops.success_installation'),
mock.p... | = mock.Mock()
config.key_type = "rsa"
cert = mock.Mock()
cert.private_key_type = "ecdsa"
mock_set.return_value = True
main._handle_unexpected_key_type_migration(config, cert)
mock_set.return_value = False
with self.assertRaises(errors.Error) as raised:
... | 235 | 235 | 785 | 9 | 226 | luisriverag/certbot | certbot/tests/main_test.py | Python | RunTest | RunTest | 99 | 178 | 99 | 99 | 1dcd18adc96beb8a6a17e7c5b31352263f5713be | bigcode/the-stack | train |
b334abe392219b27ba79140b | train | class | class ReportNewCertTest(unittest.TestCase):
"""Tests for certbot._internal.main._report_new_cert and
certbot._internal.main._csr_report_new_cert.
"""
def setUp(self):
from datetime import datetime
self.notify_patch = mock.patch('certbot._internal.main.display_util.notify')
se... | class ReportNewCertTest(unittest.TestCase):
| """Tests for certbot._internal.main._report_new_cert and
certbot._internal.main._csr_report_new_cert.
"""
def setUp(self):
from datetime import datetime
self.notify_patch = mock.patch('certbot._internal.main.display_util.notify')
self.mock_notify = self.notify_patch.start()
... | )
@mock.patch('certbot._internal.main.plug_sel.record_chosen_plugins')
@mock.patch('certbot._internal.main.plug_sel.pick_installer')
def test_install_enhancement_not_supported(self, mock_inst, _rec):
mock_inst.return_value = null.Installer(self.config, "null")
plugins = disco.PluginsRegistr... | 256 | 256 | 1,057 | 9 | 247 | luisriverag/certbot | certbot/tests/main_test.py | Python | ReportNewCertTest | ReportNewCertTest | 1,802 | 1,911 | 1,802 | 1,802 | 84a33e67ffa6f98c6ddafcb28116bef81058f1ac | bigcode/the-stack | train |
da660ed8a5b2d0514092e878 | train | class | class ReportNextStepsTest(unittest.TestCase):
"""Tests for certbot._internal.main._report_next_steps"""
def setUp(self):
self.config = mock.MagicMock(
cert_name="example.com", preconfigured_renewal=True,
csr=None, authenticator="nginx", manual_auth_hook=None)
notify_patc... | class ReportNextStepsTest(unittest.TestCase):
| """Tests for certbot._internal.main._report_next_steps"""
def setUp(self):
self.config = mock.MagicMock(
cert_name="example.com", preconfigured_renewal=True,
csr=None, authenticator="nginx", manual_auth_hook=None)
notify_patch = mock.patch('certbot._internal.main.display... | .Mock(dry_run=False, authenticator='manual', manual_auth_hook=None),
'/path/to/cert.pem', '/path/to/fullchain.pem',
'/path/to/privkey.pem')
self.mock_notify.assert_called_with(
'\nSuccessfully received certificate.\n'
'Certificate is saved at: /path/t... | 129 | 129 | 433 | 9 | 120 | luisriverag/certbot | certbot/tests/main_test.py | Python | ReportNextStepsTest | ReportNextStepsTest | 1,914 | 1,962 | 1,914 | 1,914 | 3586624489d732cde5f7dbd2a045da24cfc51efa | bigcode/the-stack | train |
a75e7056ff6fd88da53c5ad2 | train | class | class UnregisterTest(unittest.TestCase):
def setUp(self):
self.patchers = {
'_determine_account': mock.patch('certbot._internal.main._determine_account'),
'account': mock.patch('certbot._internal.main.account'),
'client': mock.patch('certbot._internal.main.client'),
... | class UnregisterTest(unittest.TestCase):
| def setUp(self):
self.patchers = {
'_determine_account': mock.patch('certbot._internal.main._determine_account'),
'account': mock.patch('certbot._internal.main.account'),
'client': mock.patch('certbot._internal.main.client'),
'get_utility': test_util.patch_dis... | ')
def test_renew_doesnt_restart_on_dryrun(self, mock_get_cert, mock_init, mock_choose,
mock_run_renewal_deployer):
"""A dry-run renewal shouldn't try to restart the installer"""
self.config.dry_run = True
installer = mock.MagicMock()
mock_... | 143 | 143 | 478 | 8 | 135 | luisriverag/certbot | certbot/tests/main_test.py | Python | UnregisterTest | UnregisterTest | 1,544 | 1,602 | 1,544 | 1,544 | 86f4d32a4203cc493360fed030dfdd3a48434b7d | bigcode/the-stack | train |
f1bc30a16523d76b27b5e0e0 | train | class | class DeleteIfAppropriateTest(test_util.ConfigTestCase):
"""Tests for certbot._internal.main._delete_if_appropriate """
def _call(self, mock_config):
from certbot._internal.main import _delete_if_appropriate
_delete_if_appropriate(mock_config)
def _test_delete_opt_out_common(self):
... | class DeleteIfAppropriateTest(test_util.ConfigTestCase):
| """Tests for certbot._internal.main._delete_if_appropriate """
def _call(self, mock_config):
from certbot._internal.main import _delete_if_appropriate
_delete_if_appropriate(mock_config)
def _test_delete_opt_out_common(self):
with mock.patch('certbot._internal.cert_manager.delete')... | NY, constants.CLI_DEFAULTS['server'])
self.mock_success_revoke.assert_called_once_with(self.tmp_cert_path)
@mock.patch('certbot._internal.main._delete_if_appropriate')
def test_revocation_success(self, mock_delete_if_appropriate):
self._call()
mock_delete_if_appropriate.return_value = F... | 256 | 256 | 1,111 | 12 | 244 | luisriverag/certbot | certbot/tests/main_test.py | Python | DeleteIfAppropriateTest | DeleteIfAppropriateTest | 441 | 542 | 441 | 441 | 3b0788b4c07ef593285164fd40c2e6f98a935e40 | bigcode/the-stack | train |
5324de773e9ffdd718382217 | train | class | class MainTest(test_util.ConfigTestCase):
"""Tests for different commands."""
def setUp(self):
super().setUp()
filesystem.mkdir(self.config.logs_dir)
self.standard_args = ['--config-dir', self.config.config_dir,
'--work-dir', self.config.work_dir,
... | class MainTest(test_util.ConfigTestCase):
| """Tests for different commands."""
def setUp(self):
super().setUp()
filesystem.mkdir(self.config.logs_dir)
self.standard_args = ['--config-dir', self.config.config_dir,
'--work-dir', self.config.work_dir,
'--logs-dir', self.c... | mock.patch('certbot._internal.main.display_util.notify')
def test_no_accounts_no_email(self, mock_notify, mock_get_email):
mock_get_email.return_value = 'foo@bar.baz'
with mock.patch('certbot._internal.main.client') as client:
client.register.return_value = (
self.accs[0... | 256 | 256 | 10,239 | 9 | 247 | luisriverag/certbot | certbot/tests/main_test.py | Python | MainTest | MainTest | 617 | 1,541 | 617 | 617 | 4b978df30cb38e538adb99d4790d193a4f147517 | bigcode/the-stack | train |
b7e24467f72364918762237e | train | class | class MakeOrVerifyNeededDirs(test_util.ConfigTestCase):
"""Tests for certbot._internal.main.make_or_verify_needed_dirs."""
@mock.patch("certbot._internal.main.util")
def test_it(self, mock_util):
main.make_or_verify_needed_dirs(self.config)
for core_dir in (self.config.config_dir, self.conf... | class MakeOrVerifyNeededDirs(test_util.ConfigTestCase):
| """Tests for certbot._internal.main.make_or_verify_needed_dirs."""
@mock.patch("certbot._internal.main.util")
def test_it(self, mock_util):
main.make_or_verify_needed_dirs(self.config)
for core_dir in (self.config.config_dir, self.config.work_dir,):
mock_util.set_up_core_dir.ass... | _plugins = mock.MagicMock()
res = main.unregister(config, unused_plugins)
m = "Could not find existing account to deactivate."
self.assertEqual(res, m)
self.assertIs(cb_client.acme.deactivate_registration.called, False)
class MakeOrVerifyNeededDirs(test_util.ConfigTestCase):
| 64 | 64 | 178 | 12 | 52 | luisriverag/certbot | certbot/tests/main_test.py | Python | MakeOrVerifyNeededDirs | MakeOrVerifyNeededDirs | 1,605 | 1,623 | 1,605 | 1,605 | 30407833a05ab9db3702eae60562c3827d38d9a3 | bigcode/the-stack | train |
2da0d97d9d5ad38ddbe58f2e | train | class | class DetermineAccountTest(test_util.ConfigTestCase):
"""Tests for certbot._internal.main._determine_account."""
def setUp(self):
super().setUp()
self.config.account = None
self.config.email = None
self.config.register_unsafely_without_email = False
self.accs = [mock.Mag... | class DetermineAccountTest(test_util.ConfigTestCase):
| """Tests for certbot._internal.main._determine_account."""
def setUp(self):
super().setUp()
self.config.account = None
self.config.email = None
self.config.register_unsafely_without_email = False
self.accs = [mock.MagicMock(id='x'), mock.MagicMock(id='y')]
self.a... | laps')
@mock.patch('certbot._internal.storage.full_archive_path')
@mock.patch('certbot._internal.cert_manager.cert_path_to_lineage')
@mock.patch('certbot._internal.cert_manager.delete')
@test_util.patch_display_util()
def test_opt_in_deletion(self, mock_get_utility, mock_delete,
mock_cer... | 220 | 220 | 734 | 10 | 210 | luisriverag/certbot | certbot/tests/main_test.py | Python | DetermineAccountTest | DetermineAccountTest | 545 | 614 | 545 | 545 | 0c8e118d5f711292a5529efe10edc0234828baff | bigcode/the-stack | train |
ef87ad3b8d32946952c88aae | train | class | class UpdateAccountTest(test_util.ConfigTestCase):
"""Tests for certbot._internal.main.update_account"""
def setUp(self):
patches = {
'account': mock.patch('certbot._internal.main.account'),
'atexit': mock.patch('certbot.util.atexit'),
'client': mock.patch('certbot._... | class UpdateAccountTest(test_util.ConfigTestCase):
| """Tests for certbot._internal.main.update_account"""
def setUp(self):
patches = {
'account': mock.patch('certbot._internal.main.account'),
'atexit': mock.patch('certbot.util.atexit'),
'client': mock.patch('certbot._internal.main.client'),
'determine_acco... | ()
return self.mock_notify.call_args_list[0][0][0]
def test_report(self):
"""No steps for a normal renewal"""
self.config.authenticator = "manual"
self.config.manual_auth_hook = "/bin/true"
self._call(self.config, None, None)
self.mock_notify.assert_not_called()
... | 256 | 256 | 1,101 | 10 | 246 | luisriverag/certbot | certbot/tests/main_test.py | Python | UpdateAccountTest | UpdateAccountTest | 1,965 | 2,068 | 1,965 | 1,965 | e351bee701f9ea1d0b7e87c004b265df1b864f9f | bigcode/the-stack | train |
98c3bbb96328d5d17b67d957 | train | class | class FindDomainsOrCertnameTest(unittest.TestCase):
"""Tests for certbot._internal.main._find_domains_or_certname."""
@mock.patch('certbot.display.ops.choose_names')
def test_display_ops(self, mock_choose_names):
mock_config = mock.Mock(domains=None, certname=None)
mock_choose_names.return_... | class FindDomainsOrCertnameTest(unittest.TestCase):
| """Tests for certbot._internal.main._find_domains_or_certname."""
@mock.patch('certbot.display.ops.choose_names')
def test_display_ops(self, mock_choose_names):
mock_config = mock.Mock(domains=None, certname=None)
mock_choose_names.return_value = "domainname"
# pylint: disable=prote... | csr {CSR}", "-d example.com"):
self._call(f"certonly {flag} --webroot --cert-name example.com --dry-run".split())
mock_report_next_steps.assert_called_once_with(
mock.ANY, mock.ANY, mock.ANY, new_or_renewed_cert=False)
mock_report_next_steps.reset_mock()
class FindDom... | 84 | 84 | 281 | 11 | 73 | luisriverag/certbot | certbot/tests/main_test.py | Python | FindDomainsOrCertnameTest | FindDomainsOrCertnameTest | 288 | 313 | 288 | 288 | fccfee04be2a3ed3fd1ed5a69a7362507231976d | bigcode/the-stack | train |
0a193db6dd1e5cc50fc36a4b | train | class | class TestHandleCerts(unittest.TestCase):
"""Test for certbot._internal.main._handle_* methods"""
@mock.patch("certbot._internal.main._handle_unexpected_key_type_migration")
def test_handle_identical_cert_request_pending(self, mock_handle_migration):
mock_lineage = mock.Mock()
mock_lineage.e... | class TestHandleCerts(unittest.TestCase):
| """Test for certbot._internal.main._handle_* methods"""
@mock.patch("certbot._internal.main._handle_unexpected_key_type_migration")
def test_handle_identical_cert_request_pending(self, mock_handle_migration):
mock_lineage = mock.Mock()
mock_lineage.ensure_deployed.return_value = False
... | import os
from certbot.plugins import enhancements
import certbot.tests.util as test_util
try:
import mock
except ImportError: # pragma: no cover
from unittest import mock
CERT_PATH = test_util.vector_path('cert_512.pem')
CERT = test_util.vector_path('cert_512.pem')
CSR = test_util.vector_path('csr_512.der... | 150 | 150 | 500 | 9 | 141 | luisriverag/certbot | certbot/tests/main_test.py | Python | TestHandleCerts | TestHandleCerts | 52 | 96 | 52 | 52 | 37d87f12a2ce3cd4154c5aa81222c48ad93bb0a8 | bigcode/the-stack | train |
6438fc3a47066d1c3f9b5c10 | train | class | class log_sum_exp(Atom):
""":math:`\log\sum_i e^{x_i}`
"""
def __init__(self, x):
super(log_sum_exp, self).__init__(x)
# Evaluates e^x elementwise, sums, and takes the log.
@Atom.numpy_numeric
def numeric(self, values):
exp_mat = np.exp(values[0])
exp_sum = exp_mat.sum(... | class log_sum_exp(Atom):
| """:math:`\log\sum_i e^{x_i}`
"""
def __init__(self, x):
super(log_sum_exp, self).__init__(x)
# Evaluates e^x elementwise, sums, and takes the log.
@Atom.numpy_numeric
def numeric(self, values):
exp_mat = np.exp(values[0])
exp_sum = exp_mat.sum(axis = 1).sum(axis = 0)
... | PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with CVXPY. If not, see <http://www.gnu.org/licenses/>.
"""
import cvxpy.utilities as u
import cvxpy.lin_ops.lin_utils as lu
from cvxpy.atoms.atom import Atom
from cvxpy.atoms.eleme... | 125 | 125 | 419 | 7 | 117 | riadnassiffe/Simulator | src/tools/ecos/cvxpy/cvxpy/atoms/log_sum_exp.py | Python | log_sum_exp | log_sum_exp | 28 | 85 | 28 | 28 | 3efe94780a01880f2ece674f6b7714cdc3a1cdd6 | bigcode/the-stack | train |
c57d7abb3798a5bc7355f636 | train | function | def generalized_singles(wires, delta_sz):
r"""Return generalized single excitation terms
.. math::
\hat{T_1} = \sum_{pq} t_{p}^{q} \hat{c}^{\dagger}_{q} \hat{c}_{p}
"""
sz = np.array(
[0.5 if (i % 2 == 0) else -0.5 for i in range(len(wires))]
) # alpha-beta electrons
gen_singl... | def generalized_singles(wires, delta_sz):
| r"""Return generalized single excitation terms
.. math::
\hat{T_1} = \sum_{pq} t_{p}^{q} \hat{c}^{\dagger}_{q} \hat{c}_{p}
"""
sz = np.array(
[0.5 if (i % 2 == 0) else -0.5 for i in range(len(wires))]
) # alpha-beta electrons
gen_singles_wires = []
for r in range(len(wires... | Contains the k-UpCCGSD template.
"""
# pylint: disable-msg=too-many-branches,too-many-arguments,protected-access
import numpy as np
import pennylane as qml
from pennylane.operation import Operation, AnyWires
def generalized_singles(wires, delta_sz):
| 64 | 64 | 200 | 10 | 53 | therooler/pennylane | pennylane/templates/subroutines/kupccgsd.py | Python | generalized_singles | generalized_singles | 23 | 41 | 23 | 23 | 0a2e8d0e1428d8d9c9d6e068051ab65b4ef709d9 | bigcode/the-stack | train |
d0d7616245dd9161c7e87270 | train | function | def generalized_pair_doubles(wires):
r"""Return pair coupled-cluster double excitations
.. math::
\hat{T_2} = \sum_{pq} t_{p_\alpha p_\beta}^{q_\alpha, q_\beta}
\hat{c}^{\dagger}_{q_\alpha} \hat{c}^{\dagger}_{q_\beta} \hat{c}_{p_\beta} \hat{c}_{p_\alpha}
"""
pair_gen_doubles_wir... | def generalized_pair_doubles(wires):
| r"""Return pair coupled-cluster double excitations
.. math::
\hat{T_2} = \sum_{pq} t_{p_\alpha p_\beta}^{q_\alpha, q_\beta}
\hat{c}^{\dagger}_{q_\alpha} \hat{c}^{\dagger}_{q_\beta} \hat{c}_{p_\beta} \hat{c}_{p_\alpha}
"""
pair_gen_doubles_wires = [
[
wires[r ... | and p != r:
if r < p:
gen_singles_wires.append(wires[r : p + 1])
else:
gen_singles_wires.append(wires[p : r + 1][::-1])
return gen_singles_wires
def generalized_pair_doubles(wires):
| 65 | 65 | 217 | 8 | 56 | therooler/pennylane | pennylane/templates/subroutines/kupccgsd.py | Python | generalized_pair_doubles | generalized_pair_doubles | 44 | 61 | 44 | 44 | 15f4eaa085f598ffe5852847e413a5b774696bba | bigcode/the-stack | train |
9590cdc5e1c4081edb2b79b1 | train | class | class kUpCCGSD(Operation):
r"""Implements the k-Unitary Pair Coupled-Cluster Generalized Singles and Doubles (k-UpCCGSD) ansatz.
The k-UpCCGSD ansatz calls the :func:`~.FermionicSingleExcitation` and :func:`~.FermionicDoubleExcitation`
templates to exponentiate the product of :math:`k` generalized singles ... | class kUpCCGSD(Operation):
| r"""Implements the k-Unitary Pair Coupled-Cluster Generalized Singles and Doubles (k-UpCCGSD) ansatz.
The k-UpCCGSD ansatz calls the :func:`~.FermionicSingleExcitation` and :func:`~.FermionicDoubleExcitation`
templates to exponentiate the product of :math:`k` generalized singles and pair coupled-cluster do... | ])
else:
gen_singles_wires.append(wires[p : r + 1][::-1])
return gen_singles_wires
def generalized_pair_doubles(wires):
r"""Return pair coupled-cluster double excitations
.. math::
\hat{T_2} = \sum_{pq} t_{p_\alpha p_\beta}^{q_\alpha, q_\beta}
\h... | 256 | 256 | 2,621 | 8 | 247 | therooler/pennylane | pennylane/templates/subroutines/kupccgsd.py | Python | kUpCCGSD | kUpCCGSD | 64 | 314 | 64 | 64 | 8ff1e558ee8244ceef752cd12e288ec357bd8cf5 | bigcode/the-stack | train |
b17ce8975f4bd8cea431db50 | train | class | class TranspositionTable:
def __init__(self):
self._init_zobrist_hash()
self._table = {}
def contains(self, key):
key in self._table
def insert(self, key, value):
self._table[key] = value
def value(self, key):
self._table[key]
def hash_key(self, board):
... | class TranspositionTable:
| def __init__(self):
self._init_zobrist_hash()
self._table = {}
def contains(self, key):
key in self._table
def insert(self, key, value):
self._table[key] = value
def value(self, key):
self._table[key]
def hash_key(self, board):
"""
Find... | import numpy as np
from constants import BOARD_SIZE
class TranspositionTable:
| 16 | 78 | 263 | 5 | 10 | lucaspbordignon/goku | src/transposition.py | Python | TranspositionTable | TranspositionTable | 5 | 37 | 5 | 5 | 0eb35ce791b5f310cdf2734cdfc222a133c3cd1a | bigcode/the-stack | train |
d86266fdef864a994ce56f85 | train | function | def _double_inverted_gaussian(x,
amp1, loc1, std1,
amp2, loc2, std2):
'''This is a double inverted gaussian.
Parameters
----------
x : np.array
The items at which the Gaussian is evaluated.
amp1,amp2 : float
The amplitude... | def _double_inverted_gaussian(x,
amp1, loc1, std1,
amp2, loc2, std2):
| '''This is a double inverted gaussian.
Parameters
----------
x : np.array
The items at which the Gaussian is evaluated.
amp1,amp2 : float
The amplitude of Gaussian 1 and Gaussian 2.
loc1,loc2 : float
The central value of Gaussian 1 and Gaussian 2.
std1,std2 : flo... | parameters of `amp`, `loc`, and `std`.
'''
return amp * np.exp(-((x - loc)*(x - loc))/(2.0*std*std))
def _double_inverted_gaussian(x,
amp1, loc1, std1,
amp2, loc2, std2):
| 67 | 67 | 226 | 29 | 38 | pierfra-ro/astrobase | astrobase/lcmodels/eclipses.py | Python | _double_inverted_gaussian | _double_inverted_gaussian | 48 | 80 | 48 | 50 | b1a4dde1a86a5cb1a2010af4f7bffdfe1355e29d | bigcode/the-stack | train |
328ff78c64b6a4cb26b751bb | train | function | def invgauss_eclipses_curvefit_func(
times,
period,
epoch,
pdepth,
pduration,
psdepthratio,
secondaryphase,
zerolevel=0.0,
fixed_params=None,
):
'''This is the inv-gauss eclipses function used with scipy.optimize.curve_fit.
Parameters
... | def invgauss_eclipses_curvefit_func(
times,
period,
epoch,
pdepth,
pduration,
psdepthratio,
secondaryphase,
zerolevel=0.0,
fixed_params=None,
):
| '''This is the inv-gauss eclipses function used with scipy.optimize.curve_fit.
Parameters
----------
times : np.array
The array of times at which the model will be evaluated.
period : float
The period of the eclipsing binary.
epoch : float
The mid eclipse time of the ... | secondary_eclipse_phase = (
(phase >= (secondaryphase - halfduration)) &
(phase <= (secondaryphase + halfduration))
)
# put in the eclipses
modelmags[primary_eclipse_ingress] = (
zerolevel + _gaussian(phase[primary_eclipse_ingress],
primaryecl_amp,
... | 256 | 256 | 976 | 52 | 203 | pierfra-ro/astrobase | astrobase/lcmodels/eclipses.py | Python | invgauss_eclipses_curvefit_func | invgauss_eclipses_curvefit_func | 195 | 334 | 195 | 205 | c413c334b3cb8dd37e6ba869edcafcbf2d8acc12 | bigcode/the-stack | train |
00ebc0a0673ca45971cc61f4 | train | function | def invgauss_eclipses_residual(ebparams, times, mags, errs):
'''This returns the residual between the modelmags and the actual mags.
Parameters
----------
ebparams : list of float
This contains the parameters for the eclipsing binary::
ebparams = [period (time),
... | def invgauss_eclipses_residual(ebparams, times, mags, errs):
| '''This returns the residual between the modelmags and the actual mags.
Parameters
----------
ebparams : list of float
This contains the parameters for the eclipsing binary::
ebparams = [period (time),
epoch (time),
pdepth: primary e... | ecl_amp,
1.0,
primaryecl_std)
)
eclipsemodel[primary_eclipse_egress] = (
zerolevel + _gaussian(phase[primary_eclipse_egress],
primaryecl_amp,
0.0,
primary... | 138 | 138 | 461 | 19 | 118 | pierfra-ro/astrobase | astrobase/lcmodels/eclipses.py | Python | invgauss_eclipses_residual | invgauss_eclipses_residual | 337 | 393 | 337 | 337 | 91e90c0b172d740f28ef474201d6832d90581b9d | bigcode/the-stack | train |
edb53d7c7dee1fe29a0e5984 | train | function | def _gaussian(x, amp, loc, std):
'''This is a simple gaussian.
Parameters
----------
x : np.array
The items at which the Gaussian is evaluated.
amp : float
The amplitude of the Gaussian.
loc : float
The central value of the Gaussian.
std : float
The stand... | def _gaussian(x, amp, loc, std):
| '''This is a simple gaussian.
Parameters
----------
x : np.array
The items at which the Gaussian is evaluated.
amp : float
The amplitude of the Gaussian.
loc : float
The central value of the Gaussian.
std : float
The standard deviation of the Gaussian.
... | (wbhatti@astro.princeton.edu) - Oct 2017
'''
This contains a double gaussian model for first order modeling of eclipsing
binaries.
'''
import numpy as np
##################################
## MODEL AND RESIDUAL FUNCTIONS ##
##################################
def _gaussian(x, amp, loc, std):
| 64 | 64 | 145 | 12 | 52 | pierfra-ro/astrobase | astrobase/lcmodels/eclipses.py | Python | _gaussian | _gaussian | 18 | 45 | 18 | 18 | 18227d9b4da7019b6fe3df43450ba701f5b1180e | bigcode/the-stack | train |
a3abbb8eb5574523307276dd | train | function | def invgauss_eclipses_func(ebparams, times, mags, errs):
'''This returns a double eclipse shaped function.
Suitable for first order modeling of eclipsing binaries.
Parameters
----------
ebparams : list of float
This contains the parameters for the eclipsing binary::
ebparams ... | def invgauss_eclipses_func(ebparams, times, mags, errs):
| '''This returns a double eclipse shaped function.
Suitable for first order modeling of eclipsing binaries.
Parameters
----------
ebparams : list of float
This contains the parameters for the eclipsing binary::
ebparams = [period (time),
epoch (time),
... | x - loc))/(2.0*std*std))
def _double_inverted_gaussian(x,
amp1, loc1, std1,
amp2, loc2, std2):
'''This is a double inverted gaussian.
Parameters
----------
x : np.array
The items at which the Gaussian is evaluated.
amp1,amp2 : ... | 256 | 256 | 899 | 18 | 237 | pierfra-ro/astrobase | astrobase/lcmodels/eclipses.py | Python | invgauss_eclipses_func | invgauss_eclipses_func | 83 | 192 | 83 | 83 | 6acb16813b618f52eb9421d5dccb1025b5cc387c | bigcode/the-stack | train |
a445269e34fb458e3522fa2a | train | function | def vggBlock(X, weights1, bias1, weights2, bias2):
conv1 = nn.conv2d(X, weights1, strides=[1, 1, 1, 1], padding="VALID", data_format="NHWC")
conv1_bias = nn.bias_add(conv1, bias1, data_format="NHWC")
relu1 = nn.relu(conv1_bias)
conv2 = nn.conv2d(relu1, weights2, strides=[1, 1, 1, 1], padding="SAME"... | def vggBlock(X, weights1, bias1, weights2, bias2):
| conv1 = nn.conv2d(X, weights1, strides=[1, 1, 1, 1], padding="VALID", data_format="NHWC")
conv1_bias = nn.bias_add(conv1, bias1, data_format="NHWC")
relu1 = nn.relu(conv1_bias)
conv2 = nn.conv2d(relu1, weights2, strides=[1, 1, 1, 1], padding="SAME", data_format="NHWC")
conv2_bias = nn.bias_add(... | tensorflow import nn
BATCH_SIZE = 32
N = 112
FIN = 3
FOUT = 32
K_Y = 3
K_X = 3
NB_TESTS = 101
def vggBlock(X, weights1, bias1, weights2, bias2):
| 64 | 64 | 212 | 18 | 45 | akmaru/tiramisu | benchmarks/DNN/blocks/vggBlock/cpu/dense/vgg_block_tensorflow.py | Python | vggBlock | vggBlock | 21 | 32 | 21 | 21 | c68059c0365fbdba3dc029df1e9a305ed4df0e65 | bigcode/the-stack | train |
094e6bda6f27bad4e5a2574f | train | class | class Kamael(BaseAgent):
def initialize_agent(self):
self.controller_state = None #SimpleControllerState()
self.me = physicsObject()
self.ball = physicsObject()
self.me.team = self.team
self.allies = []
self.enemies = []
self.start = 5
self.flipStart ... | class Kamael(BaseAgent):
| def initialize_agent(self):
self.controller_state = None #SimpleControllerState()
self.me = physicsObject()
self.ball = physicsObject()
self.me.team = self.team
self.allies = []
self.enemies = []
self.start = 5
self.flipStart = 0
self.flipping ... | import math
from rlbot.agents.base_agent import BaseAgent, SimpleControllerState
from rlbot.utils.structures.game_data_struct import GameTickPacket
from rlbot.utils.game_state_util import GameState, BallState, CarState, Physics, Vector3 as vector3, Rotator
from Utilities import *
from States import *
import cProfile, p... | 196 | 256 | 3,011 | 6 | 189 | RLMarvin/RLBotPack | RLBotPack/Kamael/Kamael.py | Python | Kamael | Kamael | 32 | 363 | 32 | 33 | 26f48f09a2355733e9dc904b771ed7db51779168 | bigcode/the-stack | train |
d57cb1f8d791ae78671fafb2 | train | function | def profile(fnc):
"""A decorator that uses cProfile to profile a function"""
def inner(*args, **kwargs):
pr = cProfile.Profile()
pr.enable()
retval = fnc(*args, **kwargs)
pr.disable()
s = io.StringIO()
sortby = 'cumulative'
ps = pstats.Stats(pr, stream=s)... | def profile(fnc):
| """A decorator that uses cProfile to profile a function"""
def inner(*args, **kwargs):
pr = cProfile.Profile()
pr.enable()
retval = fnc(*args, **kwargs)
pr.disable()
s = io.StringIO()
sortby = 'cumulative'
ps = pstats.Stats(pr, stream=s).sort_stats(sortby... | import GameTickPacket
from rlbot.utils.game_state_util import GameState, BallState, CarState, Physics, Vector3 as vector3, Rotator
from Utilities import *
from States import *
import cProfile, pstats, io
import time
from numba import jit
def profile(fnc):
| 64 | 64 | 104 | 5 | 58 | RLMarvin/RLBotPack | RLBotPack/Kamael/Kamael.py | Python | profile | profile | 13 | 28 | 13 | 13 | 71d169409e6b96ff00454532bb4c88c065d89e5e | bigcode/the-stack | train |
a6a3d150732a8dd8e2f48860 | train | function | def settings(subparsers) -> None:
"""Create YAML settings to use with `torchlambda template --yaml`."""
description = "Create YAML settings to use with `torchlambda template --yaml`\n"
"This is the easiest way to deploy model, just modify default settings provided by this comand.\n"
"Not all provided f... | def settings(subparsers) -> None:
| """Create YAML settings to use with `torchlambda template --yaml`."""
description = "Create YAML settings to use with `torchlambda template --yaml`\n"
"This is the easiest way to deploy model, just modify default settings provided by this comand.\n"
"Not all provided fields are required, please see: ht... | import argparse
def settings(subparsers) -> None:
| 12 | 64 | 178 | 9 | 2 | medric49/torchlambda | torchlambda/arguments/subparsers.py | Python | settings | settings | 4 | 23 | 4 | 4 | f22d78d9e8042e68007a8aff6a021c36a0630219 | bigcode/the-stack | train |
db73fc303ffdc10f2ede587d | train | function | def template(subparsers) -> None:
"""Create C++ source code template used for model inference."""
description = (
"Create C++ deployment code scheme with AWS Lambda C++ SDK and PyTorch.\n"
"In general users are advised to stick to YAML settings (--yaml) flag.\n"
"Not all YAML fields are... | def template(subparsers) -> None:
| """Create C++ source code template used for model inference."""
description = (
"Create C++ deployment code scheme with AWS Lambda C++ SDK and PyTorch.\n"
"In general users are advised to stick to YAML settings (--yaml) flag.\n"
"Not all YAML fields are required, please see: https://git... | description=description,
help=description,
formatter_class=argparse.RawTextHelpFormatter,
)
parser.add_argument(
"--destination",
required=False,
default="./torchlambda.yaml",
help="""Path to file where YAML settings will be stored. Default: "./torchlambd... | 76 | 76 | 256 | 9 | 67 | medric49/torchlambda | torchlambda/arguments/subparsers.py | Python | template | template | 26 | 56 | 26 | 26 | c7422e608e09d7c3d7b78ba79378cdd4145a2d12 | bigcode/the-stack | train |
6d6da50ef9d2c3267230f14b | train | function | def layer(subparsers) -> None:
"""Pack model as .zip file ready to deploy on AWS Lambda as layer."""
description = "Pack model as .zip file ready to deploy on AWS Lambda as layer."
parser = subparsers.add_parser(
"layer",
description=description,
help=description,
formatter_c... | def layer(subparsers) -> None:
| """Pack model as .zip file ready to deploy on AWS Lambda as layer."""
description = "Pack model as .zip file ready to deploy on AWS Lambda as layer."
parser = subparsers.add_parser(
"layer",
description=description,
help=description,
formatter_class=argparse.RawTextHelpFormat... | "--docker-run",
required=False,
help="Flags passed to docker run command (code deployment building).\n"
"Flags should be passed as space separated string, e.g.\n"
"""--name deployment --mount source=myvol2,target=/home/app".\n"""
'If you want to pass a single flag you should add... | 161 | 161 | 538 | 9 | 152 | medric49/torchlambda | torchlambda/arguments/subparsers.py | Python | layer | layer | 225 | 282 | 225 | 225 | 0d5eaecde5b41627160f1591f5a03e7643aa6507 | bigcode/the-stack | train |
59c517438b80333ef0149963 | train | function | def build(subparsers) -> None:
"""Perform deployment of PyTorch C++ code to AWS Lambda."""
description = "Obtain AWS Lambda ready .zip package from C++ deployment source code and Torchscript compiled model.\n"
"See following resources for more information:\n"
"- Torchscript documentation: https://pytorc... | def build(subparsers) -> None:
| """Perform deployment of PyTorch C++ code to AWS Lambda."""
description = "Obtain AWS Lambda ready .zip package from C++ deployment source code and Torchscript compiled model.\n"
"See following resources for more information:\n"
"- Torchscript documentation: https://pytorch.org/docs/stable/jit.html\n"
... | """Create C++ source code template used for model inference."""
description = (
"Create C++ deployment code scheme with AWS Lambda C++ SDK and PyTorch.\n"
"In general users are advised to stick to YAML settings (--yaml) flag.\n"
"Not all YAML fields are required, please see: https://git... | 256 | 256 | 1,677 | 9 | 247 | medric49/torchlambda | torchlambda/arguments/subparsers.py | Python | build | build | 59 | 222 | 59 | 59 | 9ab67da8d2fd1598bbe39cafa3d8184ed00e381b | bigcode/the-stack | train |
a0de70d1fcc427850482b7a9 | train | class | class RMatrixmodels(RPackage):
"""Modelling with sparse and dense 'Matrix' matrices, using modular
prediction and response module classes."""
homepage = "http://matrix.r-forge.r-project.org/"
url = "https://cran.r-project.org/src/contrib/MatrixModels_0.4-1.tar.gz"
list_url = "https://cran.r-pr... | class RMatrixmodels(RPackage):
| """Modelling with sparse and dense 'Matrix' matrices, using modular
prediction and response module classes."""
homepage = "http://matrix.r-forge.r-project.org/"
url = "https://cran.r-project.org/src/contrib/MatrixModels_0.4-1.tar.gz"
list_url = "https://cran.r-project.org/src/contrib/Archive/M... | a copy of the GNU Lesser General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
##############################################################################
from spack import *
class RMatrixmodels(RPackage):
| 64 | 64 | 137 | 7 | 57 | HPCToolkit/hpctest | internal/notes/builtin-SAVE/packages/r-matrixmodels/package.py | Python | RMatrixmodels | RMatrixmodels | 28 | 38 | 28 | 28 | 78c86b4ecdacd5b45c098617f8610d365b94a117 | bigcode/the-stack | train |
6d4e0fd1cdf5d3e4a128dffe | train | class | class Migration(migrations.Migration):
dependencies = [
('app', '0042_doctor_telephone'),
]
operations = [
migrations.AlterModelOptions(
name='medicationstatus',
options={'ordering': ('time',)},
),
migrations.RemoveField(
model_name='medi... | class Migration(migrations.Migration):
| dependencies = [
('app', '0042_doctor_telephone'),
]
operations = [
migrations.AlterModelOptions(
name='medicationstatus',
options={'ordering': ('time',)},
),
migrations.RemoveField(
model_name='medicationstatus',
name='hour',
... | # -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2017-04-11 00:04
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
| 54 | 64 | 108 | 7 | 46 | cqw1/palliassist_webportal | app/migrations/0043_auto_20170410_1904.py | Python | Migration | Migration | 8 | 28 | 8 | 9 | 4a5b5e5534be79fbcc62026d6db127bfb0588567 | bigcode/the-stack | train |
b439baf4610ff1b7af59ab5c | train | function | def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'IEMP_Satellite.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's in... | def main():
| """Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'IEMP_Satellite.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and ... | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
| 26 | 64 | 101 | 3 | 22 | qc5111/IEMP | IEMP_Satellite/manage.py | Python | main | main | 7 | 18 | 7 | 7 | c4662ceb7ee9640b2b584271bda71bb795a3e0b0 | bigcode/the-stack | train |
9a87e109bb822c5f295e1a85 | train | class | @pytest.mark.skipif(not IS_PYTHON3, reason="requires python3.4 or above")
class TestAsyncioClient(object):
def test_protocol_connection_state_propagation_to_factory(self):
protocol = ModbusClientProtocol()
assert protocol.factory is None
assert protocol.transport is None
assert not p... | @pytest.mark.skipif(not IS_PYTHON3, reason="requires python3.4 or above")
class TestAsyncioClient(object):
| def test_protocol_connection_state_propagation_to_factory(self):
protocol = ModbusClientProtocol()
assert protocol.factory is None
assert protocol.transport is None
assert not protocol._connected
protocol.factory = mock.MagicMock()
protocol.connection_made(mock.sent... | from pymodbus.compat import IS_PYTHON3, PYTHON_VERSION
import pytest
if IS_PYTHON3 and PYTHON_VERSION >= (3, 4):
from unittest import mock
from pymodbus.client.asynchronous.asyncio import (
ReconnectingAsyncioModbusTcpClient,
ModbusClientProtocol, ModbusUdpClientProtocol)
from test.asyncio_t... | 202 | 256 | 2,216 | 28 | 174 | sumpfralle/pymodbus | test/test_client_async_asyncio.py | Python | TestAsyncioClient | TestAsyncioClient | 19 | 276 | 19 | 20 | 28866d35d17d2982b6dabd9416f326f920f99cf1 | bigcode/the-stack | train |
1fe07e2d63e2c6a0cb49cf9b | train | function | def plotLines(X, q0, q1, color):
for i in range(X.shape[0]-1):
ql = q0[i] - q1[i]
qr = q0[i] + q1[i]
pylab.plot([X[i], X[i+1]], [ql, qr], color)
| def plotLines(X, q0, q1, color):
| for i in range(X.shape[0]-1):
ql = q0[i] - q1[i]
qr = q0[i] + q1[i]
pylab.plot([X[i], X[i+1]], [ql, qr], color)
| rcParams['image.interpolation'] = 'none'
rcParams['image.origin'] = 'lower'
rcParams['contour.negative_linestyle'] = 'solid'
#rcParams['savefig.bbox'] = 'tight'
def plotLines(X, q0, q1, color):
| 64 | 64 | 70 | 13 | 51 | ammarhakim/ammar-simjournal | sims/s332/plot-diffuse.py | Python | plotLines | plotLines | 23 | 27 | 23 | 23 | 3a337f4b2faf5c995718353aa06a6d97012b5c1d | bigcode/the-stack | train |
426cee78769883ac277fb6ee | train | function | def calcDeriv(T, val):
dVal = numpy.zeros((T.shape[0]-1,), numpy.float)
tVal = numpy.zeros((T.shape[0]-1,), numpy.float)
for i in range(T.shape[0]-1):
tVal[i] = 0.5*(T[i]+T[i+1])
vAv = 0.5*(val[i+1]+val[i])
dVal[i] = (val[i+1]-val[i])/(T[i+1]-T[i])
return tVal, dVal
| def calcDeriv(T, val):
| dVal = numpy.zeros((T.shape[0]-1,), numpy.float)
tVal = numpy.zeros((T.shape[0]-1,), numpy.float)
for i in range(T.shape[0]-1):
tVal[i] = 0.5*(T[i]+T[i+1])
vAv = 0.5*(val[i+1]+val[i])
dVal[i] = (val[i+1]-val[i])/(T[i+1]-T[i])
return tVal, dVal
| for i in range(X.shape[0]-1):
ql = q0[i] - q1[i]
qr = q0[i] + q1[i]
pylab.plot([X[i], X[i+1]], [ql, qr], color)
def calcDeriv(T, val):
| 64 | 64 | 123 | 8 | 56 | ammarhakim/ammar-simjournal | sims/s332/plot-diffuse.py | Python | calcDeriv | calcDeriv | 29 | 36 | 29 | 29 | cc8fe026f8f51c8104dd0b0cc2cbe2de7aa443c9 | bigcode/the-stack | train |
9a083336d8ba44a4df99112c | train | function | def exactSol(X, tend):
return pylab.exp(-alpha*tend)*numpy.sin(X)
| def exactSol(X, tend):
| return pylab.exp(-alpha*tend)*numpy.sin(X)
| 0[:,1], '-r')
plotLines(X, q[:,0], q[:,1], '-k')
fh = tables.openFile(baseName+"_src.h5")
src = fh.root.StructGridField
plotLines(X, src[:,0], src[:,1], '--og')
def exactSol(X, tend):
| 64 | 64 | 21 | 7 | 57 | ammarhakim/ammar-simjournal | sims/s332/plot-diffuse.py | Python | exactSol | exactSol | 65 | 66 | 65 | 65 | 9807e87cb7a2d7ef8d6325ecd37d169f6be46c22 | bigcode/the-stack | train |
177ba2ce14f738567bf32efa | train | function | def exactSolSS(X):
return numpy.sin(X)
| def exactSolSS(X):
| return numpy.sin(X)
| k')
fh = tables.openFile(baseName+"_src.h5")
src = fh.root.StructGridField
plotLines(X, src[:,0], src[:,1], '--og')
def exactSol(X, tend):
return pylab.exp(-alpha*tend)*numpy.sin(X)
def exactSolSS(X):
| 64 | 64 | 12 | 6 | 58 | ammarhakim/ammar-simjournal | sims/s332/plot-diffuse.py | Python | exactSolSS | exactSolSS | 68 | 69 | 68 | 68 | 4ad5a398b371a985833145c5c35fd99a3cc04b88 | bigcode/the-stack | train |
174dae370296385f2d9d9320 | train | class | class YGMTest(unittest.TestCase):
def setUp(self) -> None:
return super().setUp()
def tearDown(self) -> None:
return super().tearDown()
def test_read_config_positive(self) -> None:
ACCOUNT = "chris@example.com"
PASSWORD = "p@ssw0rd!"
PORT = 1919
SERVER = "s... | class YGMTest(unittest.TestCase):
| def setUp(self) -> None:
return super().setUp()
def tearDown(self) -> None:
return super().tearDown()
def test_read_config_positive(self) -> None:
ACCOUNT = "chris@example.com"
PASSWORD = "p@ssw0rd!"
PORT = 1919
SERVER = "smpt.example.com"
TO = "['ma... | #!/usr/bin/env python3
import sys
import unittest
from io import BytesIO, StringIO
from json import JSONDecodeError
from unittest.mock import MagicMock
sys.modules["picamera"] = MagicMock()
sys.modules["RPi"] = MagicMock()
sys.modules["RPi.GPIO"] = MagicMock()
from ygm import YouveGotMail
class YGMTest(unittest.Test... | 84 | 163 | 544 | 8 | 75 | cplyon/youvegotmail | test_ygm.py | Python | YGMTest | YGMTest | 16 | 73 | 16 | 17 | c32f76e1143373d44f1582d0ccaecd2abe1a8034 | bigcode/the-stack | train |
a0dcf3a98c61cd3d19b9e3ef | train | function | def write_data():
last_update: datetime = datetime.now()
last_update_str: str = f'const last_update = "{datetime_to_str(last_update)}"; \n'
with open("../Web/data/latest_data.js", "w+", encoding="utf-8") as js:
js.write(last_update_str)
js.write(f"const data = ")
json.dump(all_resul... | def write_data():
| last_update: datetime = datetime.now()
last_update_str: str = f'const last_update = "{datetime_to_str(last_update)}"; \n'
with open("../Web/data/latest_data.js", "w+", encoding="utf-8") as js:
js.write(last_update_str)
js.write(f"const data = ")
json.dump(all_result, js, indent=' '... | _datetime import datetime, timedelta
import json
all_result: dict = {}
def handler_selector(shop_name: str, url: str, contents: str):
if "www.facebook.com/pg/" in url:
all_result.update(analysis_fb_page(shop_name, contents, url))
def write_data():
| 64 | 64 | 110 | 4 | 60 | BigtoC/Hong-Kong-Facemask-On-Sale | Crawler/data_handler.py | Python | write_data | write_data | 17 | 27 | 17 | 17 | 41ed3d010e34ae5b1dbca04bcb313c03636eb6a3 | bigcode/the-stack | train |
48a3a508a30d4d9701942411 | train | function | def handler_selector(shop_name: str, url: str, contents: str):
if "www.facebook.com/pg/" in url:
all_result.update(analysis_fb_page(shop_name, contents, url))
| def handler_selector(shop_name: str, url: str, contents: str):
| if "www.facebook.com/pg/" in url:
all_result.update(analysis_fb_page(shop_name, contents, url))
| # coding=utf-8
from Crawler.handle_fb_page import analysis_fb_page
from Crawler.util import *
from _datetime import datetime, timedelta
import json
all_result: dict = {}
def handler_selector(shop_name: str, url: str, contents: str):
| 56 | 64 | 43 | 16 | 40 | BigtoC/Hong-Kong-Facemask-On-Sale | Crawler/data_handler.py | Python | handler_selector | handler_selector | 12 | 14 | 12 | 12 | 8c13a1028f590611c564c8fa78f9d4ba761d3730 | bigcode/the-stack | train |
c485c9ba5f53e49c5242eecc | train | function | def test_info_metrics_present(kubectl, apply_gunicorn, port_forward):
port_forward('test-pod', '8080')
time.sleep(0.5)
r = requests.get('http://localhost:8080/metrics')
assert r.status_code == 200
found = False
print(r.text)
for family in text_string_to_metric_families(r.text):
if fa... | def test_info_metrics_present(kubectl, apply_gunicorn, port_forward):
| port_forward('test-pod', '8080')
time.sleep(0.5)
r = requests.get('http://localhost:8080/metrics')
assert r.status_code == 200
found = False
print(r.text)
for family in text_string_to_metric_families(r.text):
if family.name == 'userspace_exporter_enabled_programs':
found ... | # If the apply_gunicorn fixture succeeds, the pod will have gone into
# ready. This test is really just here to make it easy to surface failures
# in apply_gunicorn
pass
def test_info_metrics_present(kubectl, apply_gunicorn, port_forward):
| 64 | 64 | 160 | 17 | 46 | josecv/ebpf-usdt-exporter | integration/usdt_counter_test.py | Python | test_info_metrics_present | test_info_metrics_present | 24 | 39 | 24 | 24 | cc4213863ef6b5e4acf73be2652d4908cffc0e28 | bigcode/the-stack | train |
6142bb5fdd168363593ae497 | train | function | def test_counter_is_reported(kubectl, apply_gunicorn, port_forward):
port_forward('test-pod', '5000')
port_forward('test-pod', '8080')
time.sleep(0.5)
with ThreadPoolExecutor(max_workers=4) as executor:
list(
executor.map(lambda _: requests.get('http://localhost:5000/'),
... | def test_counter_is_reported(kubectl, apply_gunicorn, port_forward):
| port_forward('test-pod', '5000')
port_forward('test-pod', '8080')
time.sleep(0.5)
with ThreadPoolExecutor(max_workers=4) as executor:
list(
executor.map(lambda _: requests.get('http://localhost:5000/'),
range(1000)))
r = requests.get('http://localhost:808... | found = True
assert len(family.samples) == 5
for sample in family.samples:
assert 'pid' in sample.labels
assert sample.labels['name'] == 'gc_total'
assert sample.value == 1.0
assert found, r.text
def test_counter_is_reported(kubectl, apply_gun... | 78 | 78 | 261 | 18 | 59 | josecv/ebpf-usdt-exporter | integration/usdt_counter_test.py | Python | test_counter_is_reported | test_counter_is_reported | 42 | 67 | 42 | 42 | 0f47e4274b834b955583aca7fce261c2e5cda56c | bigcode/the-stack | train |
e25c5fe421c376b382ab6f5d | train | function | @pytest.fixture()
def apply_gunicorn(kubectl, apply_manifest, get_manifest_path,
wait_for_pod_ready):
manifest = get_manifest_path('gunicorn.yaml')
apply_manifest(manifest)
wait_for_pod_ready('test-pod', timeout='60s')
| @pytest.fixture()
def apply_gunicorn(kubectl, apply_manifest, get_manifest_path,
wait_for_pod_ready):
| manifest = get_manifest_path('gunicorn.yaml')
apply_manifest(manifest)
wait_for_pod_ready('test-pod', timeout='60s')
| import time
from concurrent.futures import ThreadPoolExecutor
import pytest
import requests
from prometheus_client.parser import text_string_to_metric_families
@pytest.fixture()
def apply_gunicorn(kubectl, apply_manifest, get_manifest_path,
wait_for_pod_ready):
| 58 | 64 | 59 | 26 | 31 | josecv/ebpf-usdt-exporter | integration/usdt_counter_test.py | Python | apply_gunicorn | apply_gunicorn | 9 | 14 | 9 | 11 | 4d5e4b2e02a063cd663ebb5dd56ee52d4c7307d1 | bigcode/the-stack | train |
afcd1592a63dc304e99deb7a | train | function | def test_pod_goes_ready(apply_gunicorn):
# If the apply_gunicorn fixture succeeds, the pod will have gone into
# ready. This test is really just here to make it easy to surface failures
# in apply_gunicorn
pass
| def test_pod_goes_ready(apply_gunicorn):
# If the apply_gunicorn fixture succeeds, the pod will have gone into
# ready. This test is really just here to make it easy to surface failures
# in apply_gunicorn
| pass
| od', timeout='60s')
def test_pod_goes_ready(apply_gunicorn):
# If the apply_gunicorn fixture succeeds, the pod will have gone into
# ready. This test is really just here to make it easy to surface failures
# in apply_gunicorn
| 64 | 64 | 60 | 57 | 7 | josecv/ebpf-usdt-exporter | integration/usdt_counter_test.py | Python | test_pod_goes_ready | test_pod_goes_ready | 17 | 21 | 17 | 20 | e05d098cb9cc4edfd3bd2c4f91d9f30ddeef0829 | bigcode/the-stack | train |
8adbda0fcf68332da75065f4 | train | function | def flush(trypath):
prints = []
for name, vals in _since_last_flush.items():
prints.append("{}\t{}".format(name, np.mean(vals.values())))
_since_beginning[name].update(vals)
x_vals = np.sort(_since_beginning[name].keys())
y_vals = [_since_beginning[name][x] for x in x_vals]
plt.clf()
plt.plot(x_vals, y... | def flush(trypath):
| prints = []
for name, vals in _since_last_flush.items():
prints.append("{}\t{}".format(name, np.mean(vals.values())))
_since_beginning[name].update(vals)
x_vals = np.sort(_since_beginning[name].keys())
y_vals = [_since_beginning[name][x] for x in x_vals]
plt.clf()
plt.plot(x_vals, y_vals)
plt.xlabel(... | ')
_since_beginning = collections.defaultdict(lambda: {})
_since_last_flush = collections.defaultdict(lambda: {})
_iter = [0]
def tick():
_iter[0] += 1
def plot(name, value):
_since_last_flush[name][_iter[0]] = value
def flush(trypath):
| 64 | 64 | 181 | 6 | 57 | hebowei2000/OODP | xplot.py | Python | flush | flush | 23 | 43 | 23 | 23 | 9ede529282367953773963dcf5a2b72336579ea7 | bigcode/the-stack | train |
75171440c70f2460bbf9e487 | train | function | def tick():
_iter[0] += 1
| def tick():
| _iter[0] += 1
| import matplotlib.pyplot as plt
import collections
import time
import pickle
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(message)s')
_since_beginning = collections.defaultdict(lambda: {})
_since_last_flush = collections.defaultdict(lambda: {})
_iter = [0]
def tick():
| 64 | 64 | 12 | 3 | 61 | hebowei2000/OODP | xplot.py | Python | tick | tick | 17 | 18 | 17 | 17 | 34f2bcb6d366194e9915d7cbc5076837204e5483 | bigcode/the-stack | train |
ea1e3cc3d3d93430c88eee11 | train | function | def plot(name, value):
_since_last_flush[name][_iter[0]] = value
| def plot(name, value):
| _since_last_flush[name][_iter[0]] = value
| import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(message)s')
_since_beginning = collections.defaultdict(lambda: {})
_since_last_flush = collections.defaultdict(lambda: {})
_iter = [0]
def tick():
_iter[0] += 1
def plot(name, value):
| 64 | 64 | 19 | 6 | 57 | hebowei2000/OODP | xplot.py | Python | plot | plot | 20 | 21 | 20 | 20 | 161ec7fad3437f94c966efff79801449067e1cbb | bigcode/the-stack | train |
870b4b2e9093eb21f6ca6ceb | train | function | def write():
now = datetime.now();
separator = '-'
timestring = str(now.hour) + separator + str(now.minute) + separator + str(now.second) + separator + str(now.day) + separator +str(now.month) + separator + str(now.year)
filename = str("pikabu " + timestring + '.txt')
outputFile = open(filename, "a... | def write():
| now = datetime.now();
separator = '-'
timestring = str(now.hour) + separator + str(now.minute) + separator + str(now.second) + separator + str(now.day) + separator +str(now.month) + separator + str(now.year)
filename = str("pikabu " + timestring + '.txt')
outputFile = open(filename, "a")
count... | content = request.read()
encoding = chardet.detect(content)['encoding']
print('Encoding Website: ' + str(encoding))
print('Encoding Console: ' + str(sys.stdout.encoding))
html = content.decode(encoding)
parser = MyHTMLParser()
parser.feed(html)
def write():
| 64 | 64 | 154 | 3 | 61 | maxter2323/Python-Small-Examples | pikabu.py | Python | write | write | 49 | 65 | 49 | 49 | eff8428c99c46f2aad0c620ddac635a3adfd9f68 | bigcode/the-stack | train |
f83215f479658d8ef9cf404d | train | function | def proceed():
request = urllib.request.urlopen(pikabuUrl)
content = request.read()
encoding = chardet.detect(content)['encoding']
print('Encoding Website: ' + str(encoding))
print('Encoding Console: ' + str(sys.stdout.encoding))
html = content.decode(encoding)
parser = MyHTMLParser()
... | def proceed():
| request = urllib.request.urlopen(pikabuUrl)
content = request.read()
encoding = chardet.detect(content)['encoding']
print('Encoding Website: ' + str(encoding))
print('Encoding Console: ' + str(sys.stdout.encoding))
html = content.decode(encoding)
parser = MyHTMLParser()
parser.feed(htm... | tag == newsTag and self.weAreIn == True:
links.append( attr[1])
self.readData = True
def handle_data(self, data):
if self.readData:
headers.append(data)
self.weAreIn = False
self.readData = False
def proceed():
| 64 | 64 | 76 | 3 | 60 | maxter2323/Python-Small-Examples | pikabu.py | Python | proceed | proceed | 37 | 47 | 37 | 37 | 5ad4dbf6b81a5df4151d01180d4c3221f17ec380 | bigcode/the-stack | train |
b6d94e69dfc7dd7a9fe89f39 | train | class | class MyHTMLParser(HTMLParser):
def __init__(self):
HTMLParser.__init__(self)
self.readData = False
self.weAreIn = False
def handle_starttag(self, tag, attrs):
for attr in attrs:
if attr[0] == classTag:
if attr[1] == startTag:
sel... | class MyHTMLParser(HTMLParser):
| def __init__(self):
HTMLParser.__init__(self)
self.readData = False
self.weAreIn = False
def handle_starttag(self, tag, attrs):
for attr in attrs:
if attr[0] == classTag:
if attr[1] == startTag:
self.weAreIn = True
if tag =... |
from datetime import datetime
pikabuUrl = 'http://pikabu.ru/top50_comm.php'
startTag = 'profile_commented'
endTag = 'b-sidebar-sticky'
newsTag = 'a'
classTag = 'class'
headers = []
links = []
class MyHTMLParser(HTMLParser):
| 64 | 64 | 146 | 8 | 56 | maxter2323/Python-Small-Examples | pikabu.py | Python | MyHTMLParser | MyHTMLParser | 15 | 35 | 15 | 16 | 785b537a68970b6e6d3b7505815492a83223925e | bigcode/the-stack | train |
155fa60656cb38d197fd6539 | train | function | def keras_name_to_tf_name_stem_top(keras_name,
use_ema=True,
model_name_tf='efficientnet-b0'):
"""Mapping name in h5 to ckpt that is in stem or top (head).
we map name keras_name that points to a weight in h5 file
to a name of weight in ckpt f... | def keras_name_to_tf_name_stem_top(keras_name,
use_ema=True,
model_name_tf='efficientnet-b0'):
| """Mapping name in h5 to ckpt that is in stem or top (head).
we map name keras_name that points to a weight in h5 file
to a name of weight in ckpt file.
Args:
keras_name: str, the name of weight in the h5 file of keras implementation
use_ema: Bool, use the ExponentialMovingAverage resuolt in ckpt or n... | .split('/')[1] for x in tf_weight_names if 'block' in x}
# sort by number
tf_blocks = sorted(tf_blocks, key=lambda x: int(x.split('_')[1]))
return tf_blocks
def get_keras_blocks(keras_weight_names):
"""Extract the block names from list of full weight names."""
# example: 'block1a_dwconv/depthwise_kernel:0' ... | 154 | 154 | 514 | 29 | 125 | ashutom/tensorflow-upstream | tensorflow/python/keras/applications/efficientnet_weight_update_util.py | Python | keras_name_to_tf_name_stem_top | keras_name_to_tf_name_stem_top | 156 | 205 | 156 | 158 | 1b9dd4d59afdf16f3bd2cf2a07a9fd702129ccaa | bigcode/the-stack | train |
428dc36712245df397c1c1a1 | train | function | def get_tf_blocks(tf_weight_names):
"""Extract the block names from list of full weight names."""
# Example: 'efficientnet-b0/blocks_0/conv2d/kernel' -> 'blocks_0'
tf_blocks = {x.split('/')[1] for x in tf_weight_names if 'block' in x}
# sort by number
tf_blocks = sorted(tf_blocks, key=lambda x: int(x.split('_... | def get_tf_blocks(tf_weight_names):
| """Extract the block names from list of full weight names."""
# Example: 'efficientnet-b0/blocks_0/conv2d/kernel' -> 'blocks_0'
tf_blocks = {x.split('/')[1] for x in tf_weight_names if 'block' in x}
# sort by number
tf_blocks = sorted(tf_blocks, key=lambda x: int(x.split('_')[1]))
return tf_blocks
| x for x in v_name_all if 'ExponentialMovingAverage' not in x]
# remove util variables used for RMSprop
v_name_all = [x for x in v_name_all if 'RMS' not in x]
return v_name_all
def get_tf_blocks(tf_weight_names):
| 64 | 64 | 100 | 8 | 55 | ashutom/tensorflow-upstream | tensorflow/python/keras/applications/efficientnet_weight_update_util.py | Python | get_tf_blocks | get_tf_blocks | 140 | 146 | 140 | 140 | 5674370bdbbe48dd8b43918afa46c1d851382f35 | bigcode/the-stack | train |
6dfe7bca34efed4560ae1153 | train | function | def get_keras_blocks(keras_weight_names):
"""Extract the block names from list of full weight names."""
# example: 'block1a_dwconv/depthwise_kernel:0' -> 'block1a'
keras_blocks = {x.split('_')[0] for x in keras_weight_names if 'block' in x}
return sorted(keras_blocks)
| def get_keras_blocks(keras_weight_names):
| """Extract the block names from list of full weight names."""
# example: 'block1a_dwconv/depthwise_kernel:0' -> 'block1a'
keras_blocks = {x.split('_')[0] for x in keras_weight_names if 'block' in x}
return sorted(keras_blocks)
| tf_blocks = {x.split('/')[1] for x in tf_weight_names if 'block' in x}
# sort by number
tf_blocks = sorted(tf_blocks, key=lambda x: int(x.split('_')[1]))
return tf_blocks
def get_keras_blocks(keras_weight_names):
| 64 | 64 | 77 | 10 | 53 | ashutom/tensorflow-upstream | tensorflow/python/keras/applications/efficientnet_weight_update_util.py | Python | get_keras_blocks | get_keras_blocks | 149 | 153 | 149 | 149 | e85b18d4ea62df2e7c7602ba92225601f48aab66 | bigcode/the-stack | train |
bb9afaaa2a89677247a15525 | train | function | def check_match(keras_block, tf_block, keras_weight_names, tf_weight_names,
model_name_tf):
"""Check if the weights in h5 and ckpt match.
we match each name from keras_weight_names that is in keras_block
and check if there is 1-1 correspondence to names from tf_weight_names
that is in tf_block
... | def check_match(keras_block, tf_block, keras_weight_names, tf_weight_names,
model_name_tf):
| """Check if the weights in h5 and ckpt match.
we match each name from keras_weight_names that is in keras_block
and check if there is 1-1 correspondence to names from tf_weight_names
that is in tf_block
Args:
keras_block: str, the block name for keras implementation (e.g. 'block1a')
tf_block: str, t... | tf_name.append('tpu_batch_normalization')
else:
tf_name.append('tpu_batch_normalization_1')
for x in ['moving_mean', 'moving_variance', 'beta', 'gamma']:
if x in keras_name:
tf_name.append(x)
if use_ema:
tf_name.append('ExponentialMovingAverage')
return '/'.join(tf_name)... | 106 | 106 | 356 | 23 | 83 | ashutom/tensorflow-upstream | tensorflow/python/keras/applications/efficientnet_weight_update_util.py | Python | check_match | check_match | 295 | 333 | 295 | 296 | 668ab9dc572e9300b0a1b33ceabcdbdb8ad73e72 | bigcode/the-stack | train |
08fa0cc17862bf0f3a882a4e | train | function | def get_variable_names_from_ckpt(path_ckpt, use_ema=True):
"""Get list of tensor names from checkpoint.
Args:
path_ckpt: str, path to the ckpt files
use_ema: Bool, whether to use ExponentialMovingAverage result or not.
Returns:
List of variable names from checkpoint.
"""
v_all = tf.train.list_var... | def get_variable_names_from_ckpt(path_ckpt, use_ema=True):
| """Get list of tensor names from checkpoint.
Args:
path_ckpt: str, path to the ckpt files
use_ema: Bool, whether to use ExponentialMovingAverage result or not.
Returns:
List of variable names from checkpoint.
"""
v_all = tf.train.list_variables(path_ckpt)
# keep name only
v_name_all = [x[0] ... | Fail to load {} from {}'.format(w.name, tf_name))
total_weights = len(keras_model.weights)
print('{}/{} weights updated'.format(changed_weights, total_weights))
keras_model.save_weights(path_h5)
def get_variable_names_from_ckpt(path_ckpt, use_ema=True):
| 64 | 64 | 202 | 16 | 48 | ashutom/tensorflow-upstream | tensorflow/python/keras/applications/efficientnet_weight_update_util.py | Python | get_variable_names_from_ckpt | get_variable_names_from_ckpt | 116 | 137 | 116 | 116 | 344dd3bab32a63a57d3c2ec0f29ff3f3bb33dd32 | bigcode/the-stack | train |
6d32409c276fcd3763ead76e | train | function | def write_ckpt_to_h5(path_h5, path_ckpt, keras_model, use_ema=True):
"""Map the weights in checkpoint file (tf) to h5 file (keras).
Args:
path_h5: str, path to output hdf5 file to write weights loaded from ckpt
files.
path_ckpt: str, path to the ckpt files (e.g. 'efficientnet-b0/model.ckpt')
th... | def write_ckpt_to_h5(path_h5, path_ckpt, keras_model, use_ema=True):
| """Map the weights in checkpoint file (tf) to h5 file (keras).
Args:
path_h5: str, path to output hdf5 file to write weights loaded from ckpt
files.
path_ckpt: str, path to the ckpt files (e.g. 'efficientnet-b0/model.ckpt')
that records efficientnet weights from original repo
https://gith... | 0.tar.gz)
# to update weight without top layers, saving to efficientnetb0_notop.h5
python efficientnet_weight_update_util.py --model b0 --notop \
--ckpt efficientnet-b0/model.ckpt --o efficientnetb0_notop.h5
# use checkpoint noisy_student_efficientnet-b3/model.ckpt (providing
# improved result for b3, can be downl... | 221 | 221 | 737 | 23 | 197 | ashutom/tensorflow-upstream | tensorflow/python/keras/applications/efficientnet_weight_update_util.py | Python | write_ckpt_to_h5 | write_ckpt_to_h5 | 46 | 113 | 46 | 46 | 04c198cf0ab85bf55ffcfa8c967b6c10d323f457 | bigcode/the-stack | train |
531707678b9494dbe0e59954 | train | function | def keras_name_to_tf_name_block(keras_name,
keras_block='block1a',
tf_block='blocks_0',
use_ema=True,
model_name_tf='efficientnet-b0'):
"""Mapping name in h5 to ckpt that belongs to a block.... | def keras_name_to_tf_name_block(keras_name,
keras_block='block1a',
tf_block='blocks_0',
use_ema=True,
model_name_tf='efficientnet-b0'):
| """Mapping name in h5 to ckpt that belongs to a block.
we map name keras_name that points to a weight in h5 file
to a name of weight in ckpt file.
Args:
keras_name: str, the name of weight in the h5 file of keras implementation
keras_block: str, the block name for keras implementation (e.g. 'block1a')... | ', 'moving_variance']:
tf_name = '{}/stem/tpu_batch_normalization/{}{}'.format(
model_name_tf, bn_weights, ema)
stem_top_dict['stem_bn/{}:0'.format(bn_weights)] = tf_name
# top / head batch normalization
for bn_weights in ['beta', 'gamma', 'moving_mean', 'moving_variance']:
tf_name = '{}/head/t... | 209 | 209 | 699 | 43 | 166 | ashutom/tensorflow-upstream | tensorflow/python/keras/applications/efficientnet_weight_update_util.py | Python | keras_name_to_tf_name_block | keras_name_to_tf_name_block | 208 | 292 | 208 | 212 | e5aea167ac0ee9b8e15a293fe9c5e3223e57ff1b | bigcode/the-stack | train |
8f5b8861af9472b54306239b | train | function | def test_parse_row(csv_entry):
with io.open('./tests/test.zip', 'rb') as fp:
unzipped = unzip_request_content(fp.read())
parsed_row = next(parse_row(unzipped)).replace('\r\n', '')
assert parsed_row == csv_entry
| def test_parse_row(csv_entry):
| with io.open('./tests/test.zip', 'rb') as fp:
unzipped = unzip_request_content(fp.read())
parsed_row = next(parse_row(unzipped)).replace('\r\n', '')
assert parsed_row == csv_entry
| ()
# Tests unit
def test_unzip_request_content():
assert not unzip_request_content(b'')
with io.open('./tests/test.zip', 'rb') as fp:
unzipped = unzip_request_content(fp.read())
assert isinstance(unzipped, ZipFile)
def test_parse_row(csv_entry):
| 64 | 64 | 59 | 7 | 57 | Leovilhena/pbjs-evaluator | tests/unit_test.py | Python | test_parse_row | test_parse_row | 48 | 55 | 48 | 49 | 99c49fc55dc0f0e5aca643c8ac3ed706bde7f1ad | bigcode/the-stack | train |
07b1461ae2347b332209d5d2 | train | function | def test_parse_url(result_url_str):
with io.open('./tests/test.zip', 'rb') as fp:
unzipped = unzip_request_content(fp.read())
parsed_row = next(parse_row(unzipped)).replace('\r\n', '')
parsed_result = parse_url(parsed_row)
assert parsed_result == result_url_str
| def test_parse_url(result_url_str):
| with io.open('./tests/test.zip', 'rb') as fp:
unzipped = unzip_request_content(fp.read())
parsed_row = next(parse_row(unzipped)).replace('\r\n', '')
parsed_result = parse_url(parsed_row)
assert parsed_result == result_url_str
| _row(csv_entry):
with io.open('./tests/test.zip', 'rb') as fp:
unzipped = unzip_request_content(fp.read())
parsed_row = next(parse_row(unzipped)).replace('\r\n', '')
assert parsed_row == csv_entry
def test_parse_url(result_url_str):
| 64 | 64 | 69 | 8 | 55 | Leovilhena/pbjs-evaluator | tests/unit_test.py | Python | test_parse_url | test_parse_url | 57 | 64 | 57 | 57 | e86fb5931d8f6dee2851e5a66b0f94a4e696d58e | bigcode/the-stack | train |
918f7d0352da71f25a3c9432 | train | function | def setup_module():
create_testfiles('1,testing', ['123.123.123.123:80:user:password', '456.456.456.456:80:user:password'])
| def setup_module():
| create_testfiles('1,testing', ['123.123.123.123:80:user:password', '456.456.456.456:80:user:password'])
| '\n')
def clean_testfiles():
try:
os.remove('./tests/test.zip')
os.remove('./tests/test.csv')
os.remove('./proxies_test.txt')
os.remove('./results.csv')
except OSError:
print("[*] Test files weren't removed during tests!")
def setup_module():
| 64 | 64 | 41 | 4 | 60 | Leovilhena/pbjs-evaluator | tests/unit_test.py | Python | setup_module | setup_module | 33 | 34 | 33 | 33 | 27fa07cb9e6c4f0c2bdf8bbc24d305036b72c6e2 | bigcode/the-stack | train |
94a94dff11ed2ef510f59f56 | train | function | def teardown_module():
clean_testfiles()
| def teardown_module():
| clean_testfiles()
| .csv')
except OSError:
print("[*] Test files weren't removed during tests!")
def setup_module():
create_testfiles('1,testing', ['123.123.123.123:80:user:password', '456.456.456.456:80:user:password'])
def teardown_module():
| 64 | 64 | 9 | 4 | 60 | Leovilhena/pbjs-evaluator | tests/unit_test.py | Python | teardown_module | teardown_module | 36 | 37 | 36 | 36 | ea1293a1a64ae32acc898d8def278d2d339c7d36 | bigcode/the-stack | train |
0d8515bcf6a43da56620881b | train | function | def clean_testfiles():
try:
os.remove('./tests/test.zip')
os.remove('./tests/test.csv')
os.remove('./proxies_test.txt')
os.remove('./results.csv')
except OSError:
print("[*] Test files weren't removed during tests!")
| def clean_testfiles():
| try:
os.remove('./tests/test.zip')
os.remove('./tests/test.csv')
os.remove('./proxies_test.txt')
os.remove('./results.csv')
except OSError:
print("[*] Test files weren't removed during tests!")
| _entry.split(','))
with ZipFile('./tests/test.zip', 'w') as my_zip:
my_zip.write('./tests/test.csv')
with open("./proxies_test.txt",'w+') as result_file:
for proxy in proxies:
result_file.write(proxy + '\n')
def clean_testfiles():
| 64 | 64 | 57 | 5 | 59 | Leovilhena/pbjs-evaluator | tests/unit_test.py | Python | clean_testfiles | clean_testfiles | 24 | 31 | 24 | 24 | 7884c3f76a037f3f290f9f93209faf20a34f4e8d | bigcode/the-stack | train |
a39daa5eca07c1f7d4f0550c | train | function | def test_crawl_obj(crawl_obj):
assert crawl_obj
assert isinstance(crawl_obj.session, HTMLSession)
assert not crawl_obj.proxies_priority
assert isinstance(crawl_obj.user_agent, UserAgent)
assert isinstance(crawl_obj.get_headers(), dict)
assert not crawl_obj.load_proxies('')
assert crawl_obj.... | def test_crawl_obj(crawl_obj):
| assert crawl_obj
assert isinstance(crawl_obj.session, HTMLSession)
assert not crawl_obj.proxies_priority
assert isinstance(crawl_obj.user_agent, UserAgent)
assert isinstance(crawl_obj.get_headers(), dict)
assert not crawl_obj.load_proxies('')
assert crawl_obj.load_proxies('./proxies_test.tx... | /test.zip', 'rb') as fp:
unzipped = unzip_request_content(fp.read())
parsed_row = next(parse_row(unzipped)).replace('\r\n', '')
parsed_result = parse_url(parsed_row)
assert parsed_result == result_url_str
def test_crawl_obj(crawl_obj):
| 64 | 64 | 162 | 9 | 54 | Leovilhena/pbjs-evaluator | tests/unit_test.py | Python | test_crawl_obj | test_crawl_obj | 66 | 86 | 66 | 66 | a1013fe1acf58d7be3babfd7e3e788ff595033c6 | bigcode/the-stack | train |
78e6e273a4784306833bdaf3 | train | function | def create_testfiles(csv_entry, proxies):
with open("./tests/test.csv",'w+') as result_file:
wr = csv.writer(result_file, dialect=csv.Dialect.delimiter)
wr.writerow(csv_entry.split(','))
with ZipFile('./tests/test.zip', 'w') as my_zip:
my_zip.write('./tests/test.csv')
with open("./... | def create_testfiles(csv_entry, proxies):
| with open("./tests/test.csv",'w+') as result_file:
wr = csv.writer(result_file, dialect=csv.Dialect.delimiter)
wr.writerow(csv_entry.split(','))
with ZipFile('./tests/test.zip', 'w') as my_zip:
my_zip.write('./tests/test.csv')
with open("./proxies_test.txt",'w+') as result_file:
... | import os
import io
import csv
from zipfile import ZipFile
from requests_html import HTMLSession
from fake_useragent import UserAgent
from helpers import unzip_request_content, parse_row, parse_url
# Tests functions and configuration
def create_testfiles(csv_entry, proxies):
| 59 | 64 | 102 | 9 | 49 | Leovilhena/pbjs-evaluator | tests/unit_test.py | Python | create_testfiles | create_testfiles | 12 | 22 | 12 | 12 | 4ecba2e67166c55a57a8c4a59ab26eea364acde7 | bigcode/the-stack | train |
d452d03abb024872ef8a6f29 | train | function | def test_unzip_request_content():
assert not unzip_request_content(b'')
with io.open('./tests/test.zip', 'rb') as fp:
unzipped = unzip_request_content(fp.read())
assert isinstance(unzipped, ZipFile)
| def test_unzip_request_content():
| assert not unzip_request_content(b'')
with io.open('./tests/test.zip', 'rb') as fp:
unzipped = unzip_request_content(fp.read())
assert isinstance(unzipped, ZipFile)
| during tests!")
def setup_module():
create_testfiles('1,testing', ['123.123.123.123:80:user:password', '456.456.456.456:80:user:password'])
def teardown_module():
clean_testfiles()
# Tests unit
def test_unzip_request_content():
| 64 | 64 | 52 | 7 | 56 | Leovilhena/pbjs-evaluator | tests/unit_test.py | Python | test_unzip_request_content | test_unzip_request_content | 41 | 46 | 41 | 41 | 5d0b2e497b503e1a3c8499b55e303980d3c2400b | bigcode/the-stack | train |
a43adbafe7350fc19e4ea84c | train | class | class TestTBATSMatrixBuilder(object):
@pytest.mark.parametrize(
"components, params, expected_w, expected_g",
[
[
dict(),
dict(alpha=0.5),
[1], # expected_w
[0.5], # expected g
],
[ # no seasonal ... | class TestTBATSMatrixBuilder(object):
@pytest.mark.parametrize(
"components, params, expected_w, expected_g",
[
[
dict(),
dict(alpha=0.5),
[1], # expected_w
[0.5], # expected g
],
[ # no seasonal ... | def test_make_vector(self, components, params, expected_w, expected_g):
m = MatrixBuilder(
ModelParams(
Components(**components),
**params
)
)
assert np.array_equal(
expected_w,
m.make_w_vector()
)
... | class TestTBATSMatrixBuilder(object):
@pytest.mark.parametrize(
"components, params, expected_w, expected_g",
[
[
dict(),
dict(alpha=0.5),
[1], # expected_w
[0.5], # expected g
],
[ # no seasonal ... | 726 | 256 | 2,682 | 726 | 0 | series-temporais/tbats | test/tbats/TBATSMatrixBuilder_test.py | Python | TestTBATSMatrixBuilder | TestTBATSMatrixBuilder | 7 | 214 | 7 | 47 | 075ea8c3790b6b1735e5af8c6fc196ec5ae94c9c | bigcode/the-stack | train |
f735e3b3c9a50177e9409fa0 | train | function | def text_of(relpath):
"""
Return string containing the contents of the file at *relpath* relative to
this file.
"""
thisdir = os.path.dirname(__file__)
file_path = os.path.join(thisdir, os.path.normpath(relpath))
with open(file_path) as f:
text = f.read()
return text
| def text_of(relpath):
| """
Return string containing the contents of the file at *relpath* relative to
this file.
"""
thisdir = os.path.dirname(__file__)
file_path = os.path.join(thisdir, os.path.normpath(relpath))
with open(file_path) as f:
text = f.read()
return text
| #!/usr/bin/env python
import os
import re
from setuptools import find_packages, setup
def text_of(relpath):
| 26 | 64 | 77 | 6 | 19 | oled-pentagrid/python-docx | setup.py | Python | text_of | text_of | 9 | 18 | 9 | 9 | 012833f3464f148c911c28024b72367af59f9697 | bigcode/the-stack | train |
d89b25789d49156245be57c1 | train | class | class NeuralNetModel :
variable = {}
dict = {}
graph = {}
sess = {}
tf = {}
init = {}
saver = {}
def check_duplicate(key, data, target, extra=None):
"""
check duplicate nn_id for none necessary memory use
:param key: insert key
:param data: inert data
... | class NeuralNetModel :
| variable = {}
dict = {}
graph = {}
sess = {}
tf = {}
init = {}
saver = {}
def check_duplicate(key, data, target, extra=None):
"""
check duplicate nn_id for none necessary memory use
:param key: insert key
:param data: inert data
:param target: t... | import os
import datetime
class NeuralNetModel :
| 11 | 108 | 363 | 5 | 5 | TensorMSA/hoyai_docker | skp_edu_docker/code/common/graph/nn_graph_manager.py | Python | NeuralNetModel | NeuralNetModel | 4 | 55 | 4 | 4 | b6c5ac2c8c8a8a5ed276e26cf6bc10948fce6929 | bigcode/the-stack | train |
d07f85e58a819361b8e3d62c | train | class | @skipIf(NO_MOCK, NO_MOCK_REASON)
class VarnishTestCase(TestCase, LoaderModuleMockMixin):
'''
Test cases for salt.modules.varnish
'''
def setup_loader_modules(self):
return {varnish: {}}
def test_version(self):
'''
Test to return server version from varnishd -V
'''
... | @skipIf(NO_MOCK, NO_MOCK_REASON)
class VarnishTestCase(TestCase, LoaderModuleMockMixin):
| '''
Test cases for salt.modules.varnish
'''
def setup_loader_modules(self):
return {varnish: {}}
def test_version(self):
'''
Test to return server version from varnishd -V
'''
with patch.dict(varnish.__salt__,
{'cmd.run': MagicMock(ret... | # -*- coding: utf-8 -*-
'''
:codeauthor: :email:`Jayesh Kariya <jayeshk@saltstack.com>`
'''
# Import Python libs
from __future__ import absolute_import
# Import Salt Testing Libs
from tests.support.mixins import LoaderModuleMockMixin
from tests.support.unit import skipIf, TestCase
from tests.support.mock import (
... | 139 | 159 | 530 | 26 | 112 | jubrad/salt | tests/unit/modules/test_varnish.py | Python | VarnishTestCase | VarnishTestCase | 21 | 85 | 21 | 22 | 90b22fe7446c22d7644622517dfc07dcbcf18fb6 | bigcode/the-stack | train |
2624f806b9e5d72d365789b9 | train | class | class TestServiceUserAcceptor:
"""Tests for ServiceUser as acceptor."""
def setup(self):
self.assoc = Association(AE(), mode='requestor')
primitive = A_ASSOCIATE()
primitive.application_context_name = '1.2.840.10008.3.1.1.1'
primitive.calling_ae_title = 'LOCAL_AE_TITLE '
... | class TestServiceUserAcceptor:
| """Tests for ServiceUser as acceptor."""
def setup(self):
self.assoc = Association(AE(), mode='requestor')
primitive = A_ASSOCIATE()
primitive.application_context_name = '1.2.840.10008.3.1.1.1'
primitive.calling_ae_title = 'LOCAL_AE_TITLE '
primitive.called_ae_title = '... | """Tests for association.AcceptorRequestor."""
import logging
import time
import threading
import pytest
from pynetdicom import (
AE, VerificationPresentationContexts, PYNETDICOM_IMPLEMENTATION_UID,
PYNETDICOM_IMPLEMENTATION_VERSION, build_context, debug_logger
)
from pynetdicom.association import ServiceUse... | 162 | 256 | 11,686 | 7 | 155 | Jesse-Back/pynetdicom | pynetdicom/tests/test_assoc_user.py | Python | TestServiceUserAcceptor | TestServiceUserAcceptor | 26 | 1,389 | 26 | 26 | 3a355bdd659050ace5b7618d435a5988842554f1 | bigcode/the-stack | train |
9abe4b5b6a6ded169944d47d | train | class | class TestServiceUserRequestor:
"""Tests for ServiceUser as requestor."""
def setup(self):
self.assoc = Association(AE(), mode='requestor')
primitive = A_ASSOCIATE()
primitive.application_context_name = '1.2.840.10008.3.1.1.1'
primitive.calling_ae_title = 'LOCAL_AE_TITLE '
... | class TestServiceUserRequestor:
| """Tests for ServiceUser as requestor."""
def setup(self):
self.assoc = Association(AE(), mode='requestor')
primitive = A_ASSOCIATE()
primitive.application_context_name = '1.2.840.10008.3.1.1.1'
primitive.calling_ae_title = 'LOCAL_AE_TITLE '
primitive.called_ae_title = ... | True
user.primitive = self.primitive_ac
assert user.writeable is False
def test_ae_title(self):
"""Test setting the ae_title"""
user = ServiceUser(self.assoc, mode='acceptor')
user.ae_title = ' TEST A '
assert user.ae_title == ' TEST A '
msg = "Invali... | 256 | 256 | 11,319 | 7 | 249 | Jesse-Back/pynetdicom | pynetdicom/tests/test_assoc_user.py | Python | TestServiceUserRequestor | TestServiceUserRequestor | 1,392 | 2,707 | 1,392 | 1,392 | 86051764676420cfa2d25e5ad11ca42008bcebd1 | bigcode/the-stack | train |
d40093da9738e72566e6ca3c | train | class | class nnSolve:
def __init__(self, game):
self.game = game
self.n = game.n
self.K = game.K
self.K2 = game.K2
self.K3 = game.K3
self.xhat = torch.tensor(game.xhat, dtype=torch.float)
self.x = torch.tensor(game.xhat, requires_grad=True, dtype=torch.float)
... | class nnSolve:
| def __init__(self, game):
self.game = game
self.n = game.n
self.K = game.K
self.K2 = game.K2
self.K3 = game.K3
self.xhat = torch.tensor(game.xhat, dtype=torch.float)
self.x = torch.tensor(game.xhat, requires_grad=True, dtype=torch.float)
self.us = torc... | # -*- coding: utf-8 -*-
import torch
import numpy as np
from nn import MyLossReg
from nn import MyLoss
class nnSolve:
| 33 | 141 | 473 | 4 | 28 | AIandSocialGoodLab/FeatureDeceptionGame | 1b2b/nnSolve.py | Python | nnSolve | nnSolve | 7 | 56 | 7 | 7 | 626f22869ad7804744ddf5221991cf7d5833c8e2 | bigcode/the-stack | train |
468fa90fa8d6571dac285ecc | train | class | class TestParseVagrantMachineReadableBoxList(TestCase):
def test_machine_readable_box_list(self):
with patch('burlap.vagrant.vagrant.local') as mock_local:
mock_local.return_value = textwrap.dedent(r"""
1391708688,,box-name,precise64
1391708688,,box-provider,virt... | class TestParseVagrantMachineReadableBoxList(TestCase):
| def test_machine_readable_box_list(self):
with patch('burlap.vagrant.vagrant.local') as mock_local:
mock_local.return_value = textwrap.dedent(r"""
1391708688,,box-name,precise64
1391708688,,box-provider,virtualbox
""")
from burlap.vagra... | import textwrap
from mock import patch
from burlap.tests.base import TestCase
class TestParseVagrantMachineReadableBoxList(TestCase):
| 30 | 64 | 146 | 12 | 17 | tutordelphia/burlap | burlap/tests/test_vagrant_base_boxes.py | Python | TestParseVagrantMachineReadableBoxList | TestParseVagrantMachineReadableBoxList | 7 | 21 | 7 | 8 | d0703873ff8fc4edb4d456a8e38ede5c481cc644 | bigcode/the-stack | train |
637b3d9034b7f1e8a40d1e39 | train | class | class TestParseVagrantBoxListWithoutProvider(TestCase):
def test_parse_box_list(self):
with patch('burlap.vagrant.vagrant.local') as mock_local:
mock_local.return_value = textwrap.dedent("""\
precise64
""")
from burlap.vagrant import vagrant
... | class TestParseVagrantBoxListWithoutProvider(TestCase):
| def test_parse_box_list(self):
with patch('burlap.vagrant.vagrant.local') as mock_local:
mock_local.return_value = textwrap.dedent("""\
precise64
""")
from burlap.vagrant import vagrant
res = vagrant._box_list_human_readable()
s... | ._box_list_human_readable()
self.assertEqual(res, [
# ('lucid32', 'virtualbox'),
('precise64', 'virtualbox'),
# ('precise64', 'vmware_fusion'),
])
class TestParseVagrantBoxListWithoutProvider(TestCase):
| 63 | 64 | 109 | 12 | 51 | tutordelphia/burlap | burlap/tests/test_vagrant_base_boxes.py | Python | TestParseVagrantBoxListWithoutProvider | TestParseVagrantBoxListWithoutProvider | 40 | 52 | 40 | 41 | 11b4466571179a4dac676bf92ba39cb9be1841d0 | bigcode/the-stack | train |
a2beac563f65388d017af426 | train | class | class TestParseVagrantBoxListWithProvider(TestCase):
def test_parse_box_list(self):
with patch('burlap.vagrant.vagrant.local') as mock_local:
mock_local.return_value = textwrap.dedent("""\
precise64 (virtualbox)
""")
from burlap.vagran... | class TestParseVagrantBoxListWithProvider(TestCase):
| def test_parse_box_list(self):
with patch('burlap.vagrant.vagrant.local') as mock_local:
mock_local.return_value = textwrap.dedent("""\
precise64 (virtualbox)
""")
from burlap.vagrant import vagrant
res = vagrant._box_list_h... | agrant._box_list_machine_readable()
self.assertEqual(res, [
# ('lucid32', 'virtualbox'),
('precise64', 'virtualbox'),
# ('precise64', 'vmware_fusion'),
])
class TestParseVagrantBoxListWithProvider(TestCase):
| 63 | 64 | 126 | 12 | 51 | tutordelphia/burlap | burlap/tests/test_vagrant_base_boxes.py | Python | TestParseVagrantBoxListWithProvider | TestParseVagrantBoxListWithProvider | 24 | 37 | 24 | 25 | 7113a016a330beac7fafbc832b014b943e4c9f83 | bigcode/the-stack | train |
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