معرفی شرکت ها

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

The ultimate CSV artisan.

ویژگی	مقدار
سیستم عامل	-
نام فایل	feanor-csv-0.5.0
نام	feanor-csv
نسخه کتابخانه	0.5.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Giacomo Alzetta
ایمیل نویسنده	giacomo.alzetta@gmail.com
آدرس صفحه اصلی	https://github.com/Bakuriu/feanor-csv
آدرس اینترنتی	https://pypi.org/project/feanor-csv/
مجوز	-

# Feanor CSV Feanor is an artisan of CSV files. It can generate complex CSV files or file bundles for examples and tests. **Note:** Feanor is currently in development. All releases prior to `1.0.0` should be considered alpha releases and both the command line interface and the library API might change significantly between releases. Release `1.0.0` will provide a stable API and stable command line interface for the `1.x` series. ## Usage ``` $ feanor --help usage: feanor [-h] [--no-header] [-L LIBRARY] [-C GLOBAL_CONFIGURATION] [-r RANDOM_MODULE] [-s RANDOM_SEED] [--version] (-n N | -b N | --stream-mode STREAM_MODE) {expr,cmdline} ... optional arguments: -h, --help show this help message and exit --no-header Do not add header to the output. -L LIBRARY, --library LIBRARY The library to use. -C GLOBAL_CONFIGURATION, --global-configuration GLOBAL_CONFIGURATION The global configuration for arbitraries. -r RANDOM_MODULE, --random-module RANDOM_MODULE The random module to be used to generate random data. -s RANDOM_SEED, --random-seed RANDOM_SEED The random seed to use for this run. --version show program's version number and exit -n N, --num-rows N The number of rows of the produced CSV -b N, --num-bytes N The approximate number of bytes of the produced CSV --stream-mode STREAM_MODE Schema definition: {expr,cmdline} Commands to define a CSV schema. ``` Checking the version: ``` $ feanor --version feanor 0.5.0 ``` ## Arbitrary types Each arbitrary is assigned an "arbitrary type", which describes how to generate the values. The syntax of the arbitrary type is the following: # <ARBITRARY_NAME> [ CONFIG ] Where `ARBITRARY_NAME` must match `\w+` and `CONFIG` is a python `dict` literal. For example the built-in `int` arbitrary type can be used in the following ways: - `%int` or `%int{}`: default configuration - `%int{"min": 10}`: do not generate numbers smaller than `10` (inclusive). - `%int{"max": 10}`: do not generate numbers bigger than `10` (inclusive). - `%int{"min": 10, "max":1000}`: generate numbers between `10` and `1000` (both inclusive). ## Feanor DSL Expressions Values are defined by a simple DSL that allows you to combine multiple arbitraries in different ways and they allow to express complex logic for your data generation. ### Arbitrary definitions An arbitrary definition is simply its type and follows the syntax `#<NAME>[CONFIG]` as explained before. ### Assignments You can assign a name to a certain expression with the syntax `(<expr>)=<NAME>`. ### References You can refer to the values of an expression to which you assigned a name by using the syntax `@<NAME>`. ### Concatenation You can concatenate multiple values using the syntax `<expr_1> . <expr_2>` or `<expr_1> · <expr_2>`. ### Choice You can define an expression that can randomly take a value by using the choice operator `|` using the syntax `<expr_1> | <expr_2>`. The value of such expression will take the value of `expr_1` for `50%` of the time and the value of `expr_2` the other times. You can specify the chances with the syntax: `expr_1 <0.3|0.7> expr_2`. In this case the expression will evaluate to `expr_1` only `30%` of the time and to `expr_2` the remaining `70%` of the time. You may omit one of the two numbers, hence `expr_1 <0.3|> expr_2` is equivalent to the last expression. If the sum of the left and right weight add up to a value smaller than `1` then the remaining portion is the chance of the value to be empty. For example `expr_1 <0.25|0.25> expr_2` defines an expression that in `25%` of the time evaluates to `expr_1`, `25%` of the time evaluates to `expr_2` and `50%` of the time evaluates to `None` (i.e. empty) ### Merge You can define an expression that can merge values of two different expressions using the `+` operator. For example `%int + %float` is an expression that evaluates to the sum of a random integer and a random float. ## Examples **NOTE:** the following examples all specify the option `-s 0`. This is used solely for reproducibility reason. The common use cases for Feanor do not need to specify a random seed and in fact doing so often defeats the purpose of the tool. ### Using the `cmdline` subcommand Generate 10 rows with random integers: ``` $ feanor -s 0 -n 10 cmdline -c a '%int' -c b '%int' a,b 885440,403958 794772,933488 441001,42450 271493,536110 509532,424604 962838,821872 870163,318046 499748,375441 611720,934973 952225,229053 ``` Generate about 1 kilobyte of rows with 2 random integers in them and write result to `/tmp/out.csv`: ``` $ feanor -s 0 -b 1024 cmdline -c a '%int' -c b '%int' /tmp/out.csv $ head /tmp/out.csv a,b 885440,403958 794772,933488 441001,42450 271493,536110 509532,424604 962838,821872 870163,318046 499748,375441 611720,934973 ``` Generate 10 rows with random integers, the first column between `0` and `10`, the second column between `0` and `1000`: ``` $ feanor -s 0 -n 10 cmdline -c a '%int{"min":0, "max":10}' -c b '%int{"min": 0, "max":1000}' a,b 6,776 6,41 4,988 8,497 6,940 4,991 7,366 9,913 3,516 2,288 ``` Generate 10 rows with random integers and their sum: ``` $ feanor -s 0 -n 10 cmdline -c a '%int' -c b '%int' -c c '@a+@b' a,b,c 885440,403958,1289398 794772,933488,1728260 441001,42450,483451 271493,536110,807603 509532,424604,934136 962838,821872,1784710 870163,318046,1188209 499748,375441,875189 611720,934973,1546693 952225,229053,1181278 ``` ### Using the `expr` subcommand Generate 10 rows with random integers: ``` $ feanor -s 0 -n 10 expr -c a,b '%int·%int' a,b 885440,403958 794772,933488 441001,42450 271493,536110 509532,424604 962838,821872 870163,318046 499748,375441 611720,934973 952225,229053 ``` Generate about 1 kilobyte of rows with 2 random integers in them and write result to `/tmp/out.csv`: ``` $ feanor -s 0 -b 1024 expr -c a,b /tmp/out.csv '%int·%int' $ head /tmp/out.csv a,b 885440,403958 794772,933488 441001,42450 271493,536110 509532,424604 962838,821872 870163,318046 499748,375441 611720,934973 ``` Generate 10 rows with random integers, the first column between `0` and `10`, the second column between `0` and `1000`: ``` $ feanor -s 0 -n 10 expr -c a,b '%int{"min":0, "max":10}·%int{"min": 0, "max":1000}' a,b 6,776 6,41 4,988 8,497 6,940 4,991 7,366 9,913 3,516 2,288 ``` Generate 10 rows with random integers and their sum: ``` $ feanor -s 0 -n 10 expr -c a,b,c '(%int)=a·(%int)=b·(@a+@b)' a,b,c 885440,403958,1289398 794772,933488,1728260 441001,42450,483451 271493,536110,807603 509532,424604,934136 962838,821872,1784710 870163,318046,1188209 499748,375441,875189 611720,934973,1546693 952225,229053,1181278 ``` or also: ``` $ feanor -s 0 -n 10 expr -c a,b,c 'let a:=%int b:=%int in @a·@b·(@a+@b)' a,b,c 885440,403958,1289398 794772,933488,1728260 441001,42450,483451 271493,536110,807603 509532,424604,934136 962838,821872,1784710 870163,318046,1188209 499748,375441,875189 611720,934973,1546693 952225,229053,1181278 ```

نیازمندی

مقدار	نام
-	ply
xtr	check-manifest;

نحوه نصب

نصب پکیج whl feanor-csv-0.5.0:

pip install feanor-csv-0.5.0.whl

نصب پکیج tar.gz feanor-csv-0.5.0:

pip install feanor-csv-0.5.0.tar.gz